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Publications & Presentations

PhenX Publications (27)
2018

Garcia-Cazarin, M.L., Mandal, R.J., Grana, R., Wanke, K.L., Meissner, H. (2018) Host–agent–vector–environment measures for electronic cigarette research used in NIH grants. Tobacco Control Advance online publication. 2018 January; doi: 10.1136/tobaccocontrol-2017-054032

2017

Eckman, J.R., Hassell, K.L., Huggins, W., Werner, E.M., Klings, E.S., Adams, R.J.,Panepinto, J.A., Hamilton, C.M. (2017) Standard measures for sickle cell disease research: the PhenX Toolkit sickle cell disease collections. Blood Adv. 2017 December; 1(27): 2703-2711. doi: 10.1182/bloodadvances.2017010702

Malinowski, A.K., Ananth, C.V., Catalano, P., Hines, E.P., Kirby, R.S., Klebanoff, M.A., . . . Dolan, S.M. (2017) Research standardization tools: Pregnancy measures in the PhenX Toolkit. Am J Obstet Gynecol. 2017 September; 217(3): 249-262. doi: 10.1016/j.ajog.2017.05.058

Phillips, M., Grant, T., Giampietro, P., Bodurtha, J., Valdez, R., Maiese, D.R., Hendershot, T., Terry, S.F., Hamilton, C.M. (2017) PhenX measures for phenotyping rare genetic conditions. Genet Med. 2017 July; 19(7): 834-837. doi: 10.1038/gim.2016.199

Dixon, L. (2017) What It Will Take to Make Coordinated Specialty Care Available to Anyone Experiencing Early Schizophrenia: Getting Over the Hump. JAMA Psychiatry. 2017 January; 74(1): 7-8. doi: 10.1001/jamapsychiatry.2016.2665

2016

Barch, D.M., Gotlib, I.A., Bilder, R.M., Pine, D.S., Smoller, J.W., Brown, C.H, Huggins, W., Hamilton, C.M., Haim, A., and Farber, G.K. (2016) Common Measures for National Institute of Mental Health Funded Research. Biol Psychiatry. 2016 June; 79(12): e91-6. doi: 10.1016/j.biopsych.2015.07.006

Mulder, N., Nembaware, V., Adekile, A., Anie, K. A., Inusa, B., Brown, B.,. . .Wonkam, A. (2016) Proceedings of a Sickle Cell Disease Ontology workshop — Towards the first comprehensive ontology for Sickle Cell Disease. Appl Transl Genom. 2016 March; 9: 23-9. doi: 10.1016/j.atg.2016.03.005

2015

Hendershot, T., Pan, H., Haines, J., Harlan, W.R., Marazita, M.L., McCarty, C.A., Ramos, E.M., and Hamilton, C.M. (2015) Using the PhenX toolkit to add standard measures to a study. Curr Protoc Hum Genet. 2015 July; 86: 1.21.1-17. doi: 10.1002/0471142905.hg0121s86

2014

Hitz, M.M., Conway, P.G, Palcher, J.A., McCarty, C.A. (2014) Using PhenX toolkit measures and other tools to assess urban/rural differences in health behaviors: recruitment methods and outcomes. BMC Research Notes. 2014 November; 7(847): . doi: 10.1186/1756-0500-7-847

Conway, K.P., Vullo, G.C., Kennedy, A.P., Finger, M.S., Arpana, A., Bjork, J.M., Farrer, L.A., Hancock, D.B., Hussong, A., Wakim, P., Huggins, W., Hendershot, T., Nettles, D.S., Pratt, J., Maiese D., Junkins, H.A., Ramos, E.M., Strader, L.C., Hamilton, C.M., Sher, K.J. (2014) Data compatibility in the addiction sciences: An examination of measure commonality. Drug Alcohol Depend. 2014 August; 141: 153-8. doi: 10.1016/j.drugalcdep.2014.04.029

McCarty, C.A., Huggins, W., Aiello, A.E., Bilder, R.M., Hariri, A., Jernigan, T.L., Newman, E., Sanghera, D.K., Strauman, T.J., Zeng, Y., Ramos, E.M., Junkins, H.A. (2014) PhenX RISING: real world implementation and sharing of PhenX measures. BMC Medical Genomics. 2014 March; 7: 16. doi: 10.1186/1755-8794-7-16

McCarty, C.A., Berg, R., Rottscheit, C.M., Waudby, C.J., Kitchner, T., Brilliant, M., Ritchie, M.D. (2014) Validation of PhenX measures in the personalized medicine research project for use in gene/environment studies. BMC Medical Genomics. 2014 January; 7: 3. doi: 10.1186/1755-8794-7-3

2013

Maiese, D.R., Hendershot, T.P., Strader, L.C., Wagener, D.K., Hammond, J.A., Huggins, W., Kwok, R.K., Hancock, D.B., Whitehead, N.S., Nettles, D.S., Pratt, J.G., Scott, M.S., Conway, K.P., Junkins, H.A., Ramos, E.M., Hamilton, C.M. (2013) PhenX - Establishing a consensus process to select common measures for collaborative research. RTI Press. 2013 October; (RTI Press Publication No. MR-0027-1310). Research Triangle Park, NC: RTI Press. doi: 10.3768/rtipress.2013.mr.0027.1310

Oetting, W.S., Robinson, P.N., Greenblatt, M.S., Cotton, R.G., Beck, T., Carey, J.C., Doelken, S.C., Girdea, M., Groza, T., Hamilton C.M., Hamosh, A., Kerner, B., Macarthur, J.A., Maglott, D.R., Mons, B., Rehm, H.L., Schofield, P.N., Searle, B.A., Smedley, D., Smith, C.L., Bernsetin, I.T., Zankl A., & Zhao, E.Y. (2013) Getting Ready for the Human Phenome Project: The 2012 Forum of the Human Variome Project. Hum Mutat. 2013 April; 34(4): 661-6. doi: 10.1002/humu.22293

Pendergrass, S. A., Verma, S. S., Holzinger, E. R., Moore, C. B., Wallace, J., Dudek, S. M., Huggins, W., Kitchner, T., Waudby, C., Berg, R., McCarty, C. A. & Ritchie M. D. (2013) Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit. Pacific Symposium on Biocomputing. 2013 January; 18: 147-158.

2012

Whitehead, N., Hammond, J. A., Williams, M., Huggins, W., Hoover, S., Hamilton, C. M., Ramos, E., Junkins, H., Harlan, W., Hogue, C. & PhenX Reproductive Health Working Group (2012) The PhenX Toolkit Pregnancy and Birth Collections. Ann Epidemiol. 2012 November; 22(11): 753-8. doi: 10.1016/j.annepidem.2012.08.004

Ritchie, M.D. (2012) The success of pharmacogenomics in moving genetic association studies from bench to bedside: study design and implementation of precision medicine in the post-GWAS era. Hum Genet. 2012 October; 131(10): 1615-26. doi: 10.1007/s00439-012-1221-z

Braun, T. R., Been, L. F., Blackett, P. R. & Sanghera, D. K. (2012) Vitamin D Deficiency and Cardio-Metabolic Risk in a North Indian Community with Highly Prevalent Type 2 Diabetes. J Diabetes Metab. 2012 August; 3: 213. doi: 10.4172/2155-6156.1000213

Pan, H., Tryka, K., Vreeman, D., Huggins, W., Phillips, M., Mehta, J., Phillips, J., McDonald, C., Junkins, H., Ramos, E. & Hamilton, C. M. (2012) Using PhenX measures to identify opportunities for cross-study analysis. Hum Mutat. 2012 May; 33(5): 849-57. doi: 10.1002/humu.22074

Haskell, W.L., Troiano, R.P., Hammond, J.A., Phillips, M.J., Strader, L.C., Marquez, D.X., Grant, S.F.A., & Ramos, E. (2012) Physical Activity and Physical Fitness: Standardizing Assessment with the PhenX Toolkit. Am J Prev Med. 2012 May; 42(5): 486-92. doi: 10.1016/j.amepre.2011.11.017

2011

Hendershot, T., Pan, H., Haines, J., Harlan, W., Junkins, H., Ramos, E., & Hamilton, C. M. (2011) Using the PhenX Toolkit to Add Standard Measures to Your Study. Curr Protoc Hum Genet. 2011 October; Chapter 1: Unit1.21. doi: 10.1002/0471142905.hg0121s71

Hamilton, C. M., Strader, L. C., Pratt, J., Maiese, D., Hendershot, T., Kwok, R., Hammond, J., Huggins, W., Jackman, D., Pan, H., Nettles, D., Beaty, T., Farrer, L., Kraft, P., Marazita, M., Ordovas, J., Pato, C., Spitz, M., Wagener, D., Williams, M., Junkins, H., Harlan, W., Ramos, E. & Haines, J. (2011) The PhenX Toolkit: Get the Most From Your Measures. Am J Epidemiol. 2011 August; 174(3): 253-60. doi: 10.1093/aje/kwr193

Hamilton, C. M., Strader, L. C., Pratt, J., Maiese, D., Hendershot, T., Kwok, R., Hammond, J., Huggins, W., Jackman, D., Pan, H., Nettles, D., Beaty, T., Farrer, L., Kraft, P., Marazita, M., Ordovas, J., Pato, C., Spitz, M., Wagener, D., Williams, M., Junkins, H., Harlan, W., Ramos, E & Haines, J. (2011) Response to Invited Commentary: Consolidating Data Harmonization. Am J Epidemiol. 2011 July; 174(3): 265-266. doi: 10.1093/aje/kwr191

Schad, P. A., L. R. Mobley & Hamilton, C. M. (2011) Building a biomedical cyberinfrastructure for collaborative research. Am J Prev Med. 2011 May; 40(5 Suppl 2): S144-50. doi: 10.1016/j.amepre.2011.01.018

Pathak J., Pan H., Wang, J., Kashyap, S., Schad, P., Hamilton, C. M., Masys, D. & Chute, C. (2011) Evaluating Phenotypic Data Elements for Genetics and Epidemiological Research: Experiences from the eMERGE and PhenX Network Projects. AMIA Jt Summits Transl Sci Proc. 2011 March; 2011: 41-5.

2010

Fortier, M., Burton, P.R., Robson, P.J., Ferretti,V., Little, J., L’Heureux, F., . . . Hudson, T.J. (2010) Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies. Int J Epidemiol. 2010 October; 39(5): 1383-93. doi: 10.1093/ije/dyq139

Stover, P. J., Harlan, W., Hammond, J., Hendershot, T., & Hamilton, C. M. (2010) An interdisciplinary toolkit for genetics and epidemiology. Curr Opin Lipidol. 2010 April; 21(2): 136-40. doi: 10.1097/MOL.0b013e3283377395

PhenX Presentations (97)
2018

Kilpatrick, L., Sano, M., Cummings, S., De Jager, P.L., Depp, C., Guralnik, J., Harris, T., Houston, D., Kawas, C., Kiel, D.P., Krzyzanowski, M., Mayeux, R., Farrer, L., Phillips, M., Ramos, E.M., Rossi, W., Hendershot, T., Hwang, S., Maiese, D., Riley, A., Pan, H., Huggins, W., Hamilton, C.M. The PhenX Toolkit: An Update on a Resource for Geriatric Research.. A poster for the American Society of Human Genetics (ASHG) annual meeting, San Diego, CA, October 19, 2018.

2017

Phillips, M. The PhenX Toolkit: Adding a Resource for Geriatric Research. A poster for the American Society of Human Genetics (ASHG) annual meeting, Orlando, FL, October 20, 2017.

Ramos, E. Community Tools for Data Harmonization for Powerful Gene-Environment Interaction Studies (PhenXToolkit). A presentation to the Institute for Computational Biology, Cleveland, OH, September 28, 2017.

Hamilton, C.M. The PhenX Toolkit: Standard Measures for Collaborative Research. A webinar for the Integrated Risk Information System (IRIS) Division of the Environmental Protection Agency (EPA), September 13, 2017.

Pan, H. PhenX and dbGaP: Tools for TOPMed and Genomics Research. A presentation for the National Institutes of Health (NIH) annual Sickle Cell Disease Clinical Research Meetings, Bethesda, MD, August 15, 2017.

Hamilton, C.M. The PhenX Toolkit: A Catalog of Measures and Bioinformatics for Collaborative Research. A presentation for dbGaP 10th Anniversary Symposium, Bethesda, MD, June 9, 2017.

Pan, H. Linking Data in dbGaP Using PhenX Measures. A webinar for the BioCADDIE (biomedical and healthCAre Data Discovery Index Ecosystem) Workshop, Bethesda, MD, May 9, 2017.

Pan, H., Bakalov V., Boyles, R., Hendershot, T., Huggins, W., Hwang, S., Krzyzanowski, M.C., Levy, J., Phillips, M., Qin, Y., Minor, B., Taylor, R., Harris, P., Kimura, M., Feolo, M., Ramos, E.M., Wright, R.J., Hamilton, C.M. PhenX in REDCap and dbGaP: Standard Measures and Bioinformatics for Collaborative Research. Translational Science 2017, Washington DC, April 19, 2017.

Hamilton, C.M. The PhenX Toolkit: Standard Measures for Collaborative Research. A webinar for the ECHO Chemical Exposures Working Group, April 10, 2017.

Pan, H. Linking Data in dbGaP Using PhenX Measures. A presentation for the Clinical Common Data Elements Task Force (CDETF), National Library of Health (NLH), National Institutes of Health (NIH), Bethesda, MD, March 28, 2017.

Pan, H., Huggins, W., Hwang, S., Levy, J., Qin, Y., Guo, Y., Kimura, M., Feolo, M., Ramos, E., Hamilton, C.M. Linking Data in dbGaP Using PhenX Measures. 2017 Joint Summits on Translational Science, San Francisco, CA, March 27, 2017.

Phillips, M., Malinowski, A.K., Hines, E., Dolan, S.M., Boyles, R., Kilpatrick, L., Hendershot, T., Ramos, E., Hamilton, C.M. The PhenX Toolkit: A Resource for Standard Phenotype and eXposure Measures for Pregnancy and Environmental Research. A poster presented at the Society of Toxicology annual meeting, March 12, 2017.

Wanke, K., Swan, G., Prochaska, J., Benowitz, N., Conway, K., Hyland, A., Mermelstein, R., Bemmel, D., Willis, G., Brown, D., Hendershot, T., Kilpatrick, L., Maiese, D., Nettles, D., Pan, H., Ramos, E., Hamilton, C.M. Tobacco Regulatory Research Measures in the PhenX Toolkit. A poster presented at the Society for Research on Nicotine and Tobacco (SRNT) annual meeting, Florence, Italy, March 10, 2017.

2016

Phillips, M., Kinga Malinowski, A., Dolan, S., Ananth, C., Catalano, P., Hines, E., Kirby, R., Klebanoff, M., Mulvihill, J.J., Simhan, H., Wright, R., Kilpatrick, L., Hendershot, T., Maiese, D., Ramos, E., Hamilton, C.M. The PhenX Toolkit: Standard Phenotype and eXposure Measures for Pregnancy Research. A poster presented at the Environmental Health Sciences FEST, National Institute of Environmental Health Sciences (NIEHS), Durham, NC, December 7, 2016.

Hamilton, C.M. The PhenX Toolkit: Standard Measures for Collaborative Research. A presentation for the Clinical Common Data Elements Task Force (CDETF), National Library of Health (NLH), National Institutes of Health (NIH), Bethesda, MD, November 4, 2016.

Hamilton, C.M. The PhenX Toolkit: Standard Measures for Collaborative Research. 2016 Triangle Statistical Genetics Meeting (Invited Speaker), Research Triangle Park, NC, October 31, 2016.

Hendershot, T., Pan, H., Huggins, W., Phillips, M., Hwang, S., Qin, Y., Bakalov, V., Levy, J., Nettles, D., Maiese, D.R., Boyles, R. Dolan, S.M., Dixon, L., Swan, G.E., Prochaska, J.J., Marazita, M.L., McCarty, C.A., Ramos, E.M., Hamilton, C. The PhenX Toolkit: Standard Measures and Bioinformatics for Collaborative Research. A poster presented at the American Society of Human Genetics (ASHG) Annual Meeting, Vancouver, BC, Canada, October 19, 2016.

Pan, H., Huggins, W., Phillips, M., Hwang, S., Levy, J., Gaddis, N., Qin, Y., Rathbun, M., Bakalov, V., Hendershot, T., Maiese, D., Brown, D., Nettles, D.M., Minor, B., Taylor, R., Harris, P., Hamilton, C. Consensus Measures for Phenotypes and eXposures (PhenX) as a REDCap External Instrument Library. REDCapCon (2016), Durham, NC, September 12, 2016.

Huggins, W., Phillips, M., Grant, T, Pan, H. et al. The PhenX Toolkit: Standard Measures for Collaborative Research. A presentation at the Human Variome Project (2016), Paris, France, June 2, 2016.

Hamilton, C., Boyles, R. The PhenX Toolkit: Consensus Measures for e-Cigarettes Research. A poster presented at the Society of Toxicology 55th Annual Meeting and ToxExpo (2016), New Orleans, LA, March 13, 2016.

Phillips, M. The PhenX Toolkit: Standard Measures to Assess Rare Genetic Conditions and Sickle Cell Disease. A poster presented at the Annual Clinical Genetics Meeting (ACMG) (2016), Tampa, FL, March 10, 2016.

Hamilton, C., Boyles, R., Brown, D.C. The PhenX Toolkit: Consensus Measures for e-Cigarettes Research. Poster presented at the NC Chapter of the Society of Toxicology meeting (2016), Research Triangle Park, NC, March 2, 2016.

Hamilton, C. PhenX Measures for Sickle Cell Disease Research. A workshop at the Sickle Cell Disease Ontology Workshop hosted by H3Africa (Human Heredity and Health in Africa) (2016), Cape Town, South Africa, February 8, 2016.

2015

Hassell, K. L., Eckman, J.R., Klings, E.S., Adams, R.J., Panepinto, J.A., Grant, T., Huggins, W., Maiese, D.R., Werner, E.M., Ramos, E.M., Hamilton, C.M. (2015). Sickle cell disease measures in the Phenx Toolkit. A presentation at the American Society of Hematology conference, Orlando, FL, December 6, 2015.

Hamilton, C., Haines, J. et al. Human Phenotypes for Researchers, Clinicians and Patients. An invited session at the Conference for the American Society of Human Genetics (2015), Baltimore, MD, October 7, 2015.

Huggins, B. W., Pan, H., Nettles, D. S., Hendershot, T., Maiese, D., Brown, D. C., et al. (2015, October). The PhenX Toolkit: A genomic resource for collaborative and translational biomedical research. Poster presented at American Society for Human Genetics 2015 annual meeting, Baltimore, MD, October 6, 2015.

Hamilton, C. Linking Disease Model Phenotypes to Human Conditions. A presentation at a symposium hosted by the National Institutes of Health (NIH) (2015), Rockville, MD, September 10, 2015.

Ramos, E. NIH Common Data Elements (CDEs). A webinar hosted by the National Institutes of Health, Bethesda, MD, September 8, 2015.

Ramos, E., Werner, E. PhenX-Sickle Cell Disease: Consensus Measures for Research. All-day session at the Annual Sickle Cell Disease Clinical Research Meeting (2015) hosted by the National Heart Lung, and Blood Institute (NHLBI), Bethesda, MD, August 20, 2015.

Hamilton, C.M., Ramos, E.M. PhenX Measures for Rare Genetic Conditions—Introducing an Annotation Tool and Crowdsourcing Approach. Webinar for the Genetic Alliance, July 8, 2015.

Bjork, J.M. Impulsivity Measurement in the Big Data Era: Resources for Harmonization. Talk presented at the 15th annual meeting of the International Society for Research on Impulsivity (InSRI) (2015), Toronto, Ontario, Canada, May 13, 2015.

Hamilton, C.M. PhenX Overview and Updates. Webinar to the ClinGen Phenotype Working Group, April 27, 2015.

Hamilton, C.M. PhenX Measures for Collaborative Biomedical and Translational Research. Speech presented at the Data for Decisions (D4D) Conference and Exposition (2015), Raleigh, NC, March 25, 2015.

Wanke, K.L., Niaura, R., Swan, G, Edelen, M.O, Hendershot, T. Building Toward Evidence and Consensus in Tobacco Control Measurement: PROMIS and PhenX. Society for Research on Nicotine and Tobacco, 2015. Philadelphia, PA, February 25, 2015.

Wanke, K.L. Tobacco Regulatory Research Measures in the PhenX Toolkit. Society for Research on Nicotine and Tobacco, 2015. Philadelphia, PA, February 25, 2015.

2014

Huggins, B. W., Pan, H., Nettles, D. S., Bullard, E. B., Hendershot, T., Maiese, D., et al. The PhenX Toolkit: A genomic resource for standard measures of phenotypes and exposures. Poster presented at American Society of Human Genetics (ASHG), San Diego, CA., October 18, 2014.

Ramos, E.M., Huggins, B.W., Pan, H., Nettles, D.S., Bullard, E.B., Hendershot, T., Maiese, D.R., McCarty, C.A., Marazita, M.L., & Hamilton, C.M. The PhenX Toolkit: An Online Resource of Standard Protocols for Collecting Phenotypic and Environmental Exposure Data.. The Genomics of Common Diseases 2014, Potomac, MD, September 17, 2014.

C.M., Hamilton. PhenX: Consensus-based Process and Community Engagement.. NIEHS Workshop for the Development of a Framework for an Environmental Health Science Language (Invited Speaker), Research Triangle Park, NC, September 15, 2014.

Pan, H., Huggins, B.W., Nettles, D.S., Eubanks, E.B., Hendershot, T., Pratt, J.G., Maiese, D.R., Marazita, M.L., McCarty, C.A., Ramos, E.M., & Hamilton, C.M. The PhenX Toolkit: Phenotype and Exposure Measures for Collaborative Research. 5th Biennial Meeting of the Human Variome Project Consortium, Paris, France, May 20-22, 2014., May 20, 2014.

Hamilton, C.M., McCarty, C.A., & Huggins, B.W. The PhenX Toolkit: Phenotype and eXposure measures for collaborative research. Genetic Alliance Webinar (Invited Speakers), May 8, 2014.

Hendershot, T., Wanke, K.L., Brown, D.C., Benowitz, N., Conway, K., Hyland, A., Mermelstein, R., van Bemmel, D., Willis, G., Goldman, L., Eubanks, E.B., Kilpatrick, L.A., Maiese D.R., Nettles, D.S., Pratt, J.G., Ramos, E.M., Hamilton, C.M., Prochaska, J., Swan, G.E. Tobacco Regulatory Research Measures in the PhenX Toolkit. NIH Tobacco Regulatory Science Conference (Invited Speaker). Bethesda, MD, April 28, 2014.

Hamilton, C.M., Huggins, B.W., Pan, H., Brown, D.C., Eubanks, E.B., Maiese D.R., Nettles, D.S., Pratt, J.G., Hendershot, T., Conway, K., Wanke, K.L., Farber, G.K., & Ramos, E.M. The PhenX Toolkit: Promoting data sharing and translational research. American Medical Informatics Association 2014 Joint Summits on Translational Science (AMIA) (Invited Speaker). San Francisco, CA, April 7-11, 2014., April 7, 2014.

Ramos, E.M., Huggins, B.W., Pan, H., Nettles, D.S., Eubanks, E.B., Hendershot, T., Pratt, J.G., Maiese, D.R., McCarty, C.A., Marazita, M.L., & Hamilton, C.M. The PhenX Toolkit: An online resource of standard protocols for collecting phenotypic and environmental exposure data. Annual Clinical Medical Genomics (ACMG) Meeting, Nashville, TN, March 25, 2014.

Hamilton, C.M. The PhenX Toolkit: Phenotype and eXposure measures for collaborative research. NIEHS-National Toxicology Program Meeting, (Invited Speaker). Research Triangle Park, N.C., March 5, 2014.

2013

Huggins, W., Pan, H., Nettles, D.S., Eubanks, E.B., Hendershot, T., Pratt, J.G., Maiese, D.R., Harlan, W.R., Haines, J., Junkins, H.A., Ramos, E.M., & Hamilton, C.M. The PhenX Toolkit: Discovering and Promoting Opportunities for Cross-study Analyses.. American Society of Human Genetics (ASHG), Boston, October 23, 2013.

Hamilton, C.M. The PhenX Toolkit: using a semantic network to enhance search results.. Advancing Environmental Health Data Sharing and Analysis: Finding a Common Language (Invited Speaker). EPA-NIEHS, Research Triangle Park, NC, June 25, 2013., June 25, 2013.

Huggins, B.W., Pan, H., Bakalov, V.D., Gaddis, N.C., Qin, Y., Junkins, H.A., Ramos, E.M., & Hamilton, C.M. The PhenX Toolkit - Online Catalog of Consensus Measures for Phenotypes and EXposures.. The 2nd International Conference and Exhibition on Biometrics and Biostatistics (Invited Speaker). Chicago, IL, June 10 - 12, 2013., June 10, 2013.

Gaddis, N.C., Pan, H., Bakalov, V.D., Huggins, B.W., Qin, Y., Junkins, H.A., Ramos, E.M., & Hamilton, C.M. The PhenX Toolkit: Facilitating collaborative research by providing standard measures of phenotypes and exposures.. The 12th International Symposium on Mutation in the Genome: Mutation Detection and Genome sequencing-detecting variants one-by-one or genome wide (Invited Speaker). Lake Louise, Canada, April 22, 2013.

Hamilton, C.M. The PhenX Toolkit: Common Measures for Collaborative Research.. CTSA Informatics Key Function Committee (Invited Speaker). January 4, 2013., January 4, 2013.

2012

Hamilton, C. M. The PhenX Toolkit - Common Measures for Collaborative Research.. Workshop on Establishing a Taxonomy of Alcohol-Related Environmental Exposures on Associated Alcohol Use and Consequences (Invited Speaker). Washington DC, December 6, 2012.

Hamilton, C.M. The PhenX Toolkit: Common measures for collaborative research. Human Variome Project. satellite to 2012 Annual Meeting of the American Society of Human Genetics (Invited Speaker). San Francisco, CA, November 6, 2012.

Hamilton, C. M., Huggins, B. W., Pan, H., Hancock, D. B., Pratt, J. G., Hammond, J., Hendershot, T., Maiese, D., Tryka, K. A., Sher, K., Conway, K., Scott, M., Harlan, W. R., Haines, J., Strader, L. C., Junkins, H. A., & Ramos, E. M. The PhenX Toolkit: Standard Measures Facilitate Cross-Study Analyses.. Presented at the 62nd Annual American Society of Human Genetics Meeting, San Francisco, CA, November, 2012., November 5, 2012.

Hendershot, T., Huggins, W., Pan, H., Hancock, D. B., Whitehead, D., Conway, K., Scott, M., Tryka, K., Junkins, H. A., Ramos, E. M. & Hamilton, C. M. The PhenX Toolkit: Standard Measures for Studies of Common Diseases. The Genomics of Common Diseases 2012, Potomac, MD, September 19, 2012.

Whitehead, N., Huggins, W., Hammond, J., Hancock, D. B., Pan, H., Levy, J., Junkins, H. A., Ramos, E. M., Haines, J., Harlan, W., Strader, L. C. & Hamilton, C. M. Pediatric measures in the PhenX Toolkit. Society for Epidemiologic Research (SER), Minneapolis, June 27, 2012.

Whitehead, N., Huggins, W., Hammond, J., Hancock, D. B., Pan, H., Levy, J., Junkins, H. A., Ramos, E. M., Haines, J., Harlan, W., Strader, L. C. & Hamilton, C. M. Pediatric measures in the PhenX Toolkit. Society for Pediatric and Perinatal Epidemiologic Research (SPER), Minneapolis, June 25, 2012.

Huggins, B. W., Pan, H., Hancock, D. B., Pratt, J. G., Hammond, J., Hendershot, T., Maiese, D., Harlan, W. R., Haines, J., Junkins, H. A., Ramos, E., Strader, L. C., & Hamilton, C. M. The PhenX Toolkit: Standard Phenotype and Exposure Measures for Epidemiological Studies. Building for Better Decisions: Multi-Scale Integration of Human Health and Environmental Data. Presented at the Contemporary Concepts in Toxicology Meeting of the Society of Toxicology, Research Triangle Park, NC, May 8, 2012.

Conway, K., Agrawal, A., Augustson, E., Bickel, W., Bjork, J., Farrer, L., Hussong, A., Sher, K., Wakim, P., Hancock, D., Huggins, W., Hendershot, T., Nettles, D., Pratt, J., Maiese, D., Junkins, A. H., Ramos, M. E., Scott, M., Strader, C. L. & Hamilton, M. C. Substance Abuse and Addiction Measures in the PhenX Toolkit. Society for Research on Nicotine and Tobacco, Houston, TX, March 13, 2012.

Hamilton, C. M. The PhenX Toolkit - Make Data Sharing Easier. Data Sharing Strategies for Environmental Health Science Research Workshop (Invited Speaker). Research Triangle Park, NC, February 6, 2012.

2011

Conway, K., Hancock, D., Scott, M., Agrawal, A., Hussong, A., Bickel, W., Bjork, J., Wakim, P., Augustson, E., Nettles, D., Pratt, J., Hendershot, T., Maiese, D., Junkins, H., Farrer, L., Ramos, E., Strader, L. C., Hamilton, C. M., & Sher, K. Substance Abuse and Addiction Measures in the PhenX Toolkit. American Society of Criminology (ASC), Washington, DC, November 16-19, 2011., November 16, 2011.

Conway, K., Agrawal, A., Augustson, E., Bickel, W., Bjork, J., Farrer, L., Hussong, A., Sher, K., Wakim, P., Hancock, D., Huggins, W., Hendershot, T., Nettles, D., Pratt, J., Maiese, D., Junkins, A. H., Ramos, M. E., Scott, M., Strader, C. L. & Hamilton, M. C. Substance Abuse and Addiction Measures in the PhenX Toolkit. NIDA: Frontiers in Addiction Research Mini-Convention to Society for Neuroscience Annual Meeting, Washington, D.C., November 11, 2011.

Huggins, W., Pan, H., Bakalov, V., Levy, J., Qin, Y., Whitehead, N., Strader, L. C., Junkins, H., Ramos, E & Hamilton, C. M. The PhenX Toolkit: Toward Data Interoperability for Genome-Wide Association Studies. Presented at the meeting of the American Medical Informatics Association (AMIA) Translational Bioinformatics Symposium, San Francisco, CA, October 22, 2011.

Conway, K., Hancock, D., Scott, M., Agrawal, A., Hussong, A., Bickel, W., Bjork, J., Wakim, P., Augustson, E., Hendershot, T., Nettles, D., Phillips, M., Pratt, J., Huggins, W., Grant, T., Maiese, D., Junkins, H., Farrer, L., Ramos, E., Strader, L. C., Hamilton, C. M. & Sher, K. Substance Abuse and Addiction Measures in the PhenX Toolkit for Use in Genomic and Epidemiologic Studies. International Congress of Human Genetics (ICHG) hosted by American Society of Human Genetics (ASHG), Montreal, Canada, October 11, 2011.

Huggins, W., Pan, H., Tryka, K., Phillips, M., Whitehead, N., Bakalov, V., Levy, J., Qin, Y., Zmuda, M., Jackman, D., Nettles, D., Pratt, J., Hammond, J., Hendershot, T., Maiese, D., Harlan, W., Haines, J., Junkins, H., Ramos, E., Strader, L. C., & Hamilton, C. M. The PhenX Toolkit: Facilitating Cross-study Analysis in Genomic Studies. International Congress of Human Genetics (ICHG) hosted by the American Society of Human Genetics (ASHG), Montreal, Canada, October 11, 2011.

Conway, K., Hancock, D., Scott, M., Agrawal, A., Hussong, A., Bickel, W., Bjork, J., Wakim, P., Augustson, E., Nettles, D., Pratt, J., Hendershot, T., Maiese, D., Junkins, H., Farrer, L., Ramos, E., Strader, L. C., Hamilton, C. M., & Sher, K. Substance Abuse and Addiction Measures in the PhenX Toolkit. NIDA and NIAAA Genetics Satellite Mini-convention to World Congress on Psychiatric Genetics, Washington, DC, September 9, 2011.

Hamilton, C. M., Pan, H., Huggins, W., Phillips, M., Strader L. C., Tryka, K., Phillips, J., Vreeman, D., Junkins, H., & Ramos, E. The PhenX Toolkit: Enhancing Cross-study Analysis in Genomic Studies. Human Growth Variation and Complex Genome Analysis (HGV2011), Berkley, CA, September 8, 2011.

Hammond, J., Whitehead, N., Qin, Y., Levy, J., Huggins, W., Hendershot, T., Junkins, H., Ramos, E., Pan, H., Strader, L. C., & Hamilton C. M. The PhenX Toolkit: Flexible Navigation using Multi-Domain Collections. Congress of Epidemiology sponsored by the Society for Epidemiologic Research (SER), Montreal, Canada, June 21, 2011.

Hamilton, C. M. The PhenX Toolkit - Consensus Measures for Phenotypes and Exposures. Presented at the National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, May, 2011.

Hamilton, C. M. PhenX Measures for Data Sharing, Cross-Study Analysis and Data Interoperability. Presented at the Center for the Advancement of Health IT, RTI, Research Triangle Park, NC, February, 2011.

2010

Whitehead, N., Bakalov, V., Qin, Y., Levy, J., Huggins, W., Jackman, D., Zmuda, M., Junkins, H., Harlan, W., Ramos, E., Haines, J., Pan, H., Strader, L. C., & Hamilton, C. M. The PhenX Toolkit: A resource for planning genetic epidemiology studies. Presented at the National Conference on Genomics and Public Health, Bethesda, MD, December 8, 2010.

Wagner, D., Kwok, R., Jackman, D., Zmuda, M., Huggins, W., Flynn, A., Qin, Y., Bakalov, V., Pan, H., Nettles, D., Pratt, J., Maiese, D., Strader, L. C., & Hamilton, C. M. Public health implications of the use of standard epidemiologic measures: The PhenX Toolkit. Presented at the meeting of the American Public Health Association, Denver, CO, November 6, 2010.

Hamilton, C. M. PhenX measures for data sharing, cross-study analysis, and data interoperability. Presented at the meeting of Nanoinformatics 2010, Arlington, VA, November 3, 2010.

Huggins, W., Strader, L. C., Whitcomb, D., Entwisle, B., Pescosolido, B., Goldman, L., Hammond, J., Hendershot, T., Kwok, R., Junkins, H., Ramos, E., & Hamilton, C. M. PhenX measures: Enhancing research studies of gene-environment interactions. Presented at the meeting of the American Society of Human Genetics, Washington, DC, November 2, 2010.

Pan, H., Jackman, D., Bakalov, V., Chang, K., Flynn, A., Huggins, W., Levy, J., Nettles, D., Qin, Y., Ray, H., Schad, P., Whitehead, N., Zmuda, M., Junkins, H., Ramos, E., Strader, L. C., & Hamilton, C. M. The PhenX Toolkit: Facilitating the use of common measures in genomics research. Presented at the meeting of the American Society of Human Genetics, Washington, DC, November 2, 2010.

Cohn, E., Rice, M., Morton, C., Arnos, K., Drayna, D., Grundfast, K., Tomblin, B., Huggins, W., Richa, N., Marazita, M., & Hamilton, C. M. Measures for speech and hearing. Presented at the meeting of the American Speech-Language-Hearing Association, Philadelphia, PA, November, 2010.

Jacobson, K., Entwisle, B., Kendler, K., Smoller, J., Huggins, W., Nettles, D., DeCain, M., Junkins, H., Ramos, E., & Hamilton, C. M. PhenX psychiatric and social environments measures that hold promise for future research. Presented at the meeting of the World Conference on Psychiatric Genetics, Athens, Greece, October 3, 2010.

Beck, J., Michalowicz, B., Fillingim, R., Gordon, S., Levy, S., Perry, K., Weintraub, J. A., Worsham, M., Hammond, J., Nettles, D. S., Maiese, D., Junkins, H. A., Strader, L. C., Ramos, E. M., Hamilton, C. M., & Marazita, M. L. Consensus measures for genomic and epidemiologic studies of oral health. Presented at the meeting of the International Association for Dental Research, Barcelona, Spain, July, 2010.

Pan, H., Mehta, J., Tryka, K., Fortier, I., Ramos, E., Junkins, H., & Hamilton, C. M. Consensus measures for genome-wide association studies: The PhenX Project. Presented at the annual meeting of the International Conference on Intelligent Systems for Molecular Biology, Boston, MA, July, 2010.

Haskell, W., Troiano, R., Ordovas, J., Phillips, M., Hammond, J., Maiese, D., Ramos, E., & Hamilton, C. M. Consensus measures of physical activity and physical fitness for genome-wide association studies. Presented at the meeting of the American College of Sports Medicine, Baltimore, MD, June, 2010.

Whitehead, N., Bakalov, V., Qin, Y., Levy, J., Huggins, W., Jackman, D., Junkins, H., Harlan, W., Ramos, E., Haines, J., Pan, H., Strader, L. C., & Hamilton, C. M. The PhenX Toolkit: A resource for planning genetic epidemiology studies. Presented at the annual meeting of the Society for Epidemiologic Research, Seattle, WA, June, 2010.

Hamilton, C. M. The PhenX Toolkit: Common measures for large-scale genomic studies. Presented at the meeting of the Genomics and Randomized Trials Network, Washington, DC, May, 2010.

Vance, J., Farrer, L., Maiese, D., Huggins, W., Grant, T., Ramos, E., & Hamilton, C. M. The PhenX Toolkit: Providing standard measures of neurological traits for genome-wide association studies. Presented at the meeting of the American Academy of Neurology, Toronto, Canada, April, 2010.

Levy, J., Qin, Y., Pan, H., & Hamilton, C M. Ontology-supported searches for the PhenX Toolkit. Presented at the Conference on Semantics in Healthcare and Life Sciences 2010, Boston, MA, February, 2010.

2009

Goldman, L., Wagener, D., Haines, J., Kwok, R., Maiese, D., Phillips, M., Ramos, E., Junkins, H., & Hamilton, C. M. Consensus of environmental exposures measures for genome-wide association studies. Presented at the International Society of Exposure Science Conference, Minneapolis, MN, November, 2009.

Hendershot, T., Ambrosone, C., Caporaso, N., Lyden, J., Maiese, D., Junkins, H., Ramos, E., Strader, L. C., & Hamilton, C. M. Consensus measures for genome-wide association studies of cancer gene susceptibility. Presented at the RTI Fellows Symposium, Chapel Hill, NC, November, 2009.

Jackman, D., Zmuda, M., Huggins, W., Flynn, A., Qin, Y., Bakalov, V., Pan, H., Nettles, D., Ramos, E., Junkins, H., Strader, L., & Hamilton, C. M. The PhenX Toolkit: Common measures for genetics research. Presented at the RTI Fellows Symposium, Chapel Hill, NC, November, 2009.

Hamilton, C. M., Strader, L. C., Pratt, J., Hammond, J., Hendershot, T., Huggins, W., Jackman, D., Kwok, R., Maiese, D., Nettles, D., Pan, H., Zmuda, M., Junkins, H., Li, R., Ramos, E., Harlan, W., & Haines J. The PhenX Toolkit: Get the most from your measures. Presented at the meeting of the International Genetic Epidemiology Society, Kahuku, HI, October, 2009.

Hamilton, C. M., Strader, L. C., Pratt, J., Hammond, J., Hendershot, T., Huggins, W., Jackman, D., Kwok, R., Maiese, D., Nettles, D., Pan, H., Zmuda, M., Junkins, H., Li, R., Ramos, E., Harlan, W., & Haines, J. The PhenX Toolkit: Get the most from your measures. Presented at the meeting of the American Society of Human Genetics, Honolulu, HI, October, 2009.

Hamilton, C. M. The PhenX Toolkit: Common measures for population-based studies. Presented at the Gene Environment Association Studies, Steering Committee, Chicago, IL, August, 2009.

Stover, P. J., Ordovas, J. M., McCalla, A.-L., Hammond, J., Maiese, D., Wagener, D., Ramos, E., & Hamilton, C. M. Consensus measures of nutrition and dietary supplements for genome-wide association studies of gene-nutrient interactions in health and disease. Presented at the Experimental Biology Conference, New Orleans, LA, April, 2009.

Pearson, T., Harlan, W., Wagener, D., Haines, J., Kwok, R., Maiese, D., Richa, N., Hendershot, T., Ramos, E., & Hamilton, C. M. Consensus measures for genome-wide association studies of cardiovascular outcomes. Presented at the meeting of the American Heart Association, Palm Harbor, FL, March, 2009.

Hamilton, C. M. PhenX measures. Presented at the P3G Phenotype Harmonization Session, Brussels, Belgium, March, 2009.

Hamilton, C. M. The PhenX Toolkit: Measures, protocols and common ground. Presented at the meeting IWG2: Information Curation and Information Technology, Brussels, Belgium, March, 2009.

Hamilton, C. M., & Kwok, R. PhenX: Consensus measures for Phenotypes and eXposures. Presented at the National Institute of Environmental Health Sciences Session, Research Triangle Park, NC, March, 2009.

Hamilton, C. M., Ramos, E., Kwok, R., Maiese, D., Wagener, D., Jackman, D., Zmuda, M., Nettles, D., Harlan, W., & Haines, J. PhenX: Consensus measures to facilitate cross-study analyses for genome-wide association studies. Presented at the American Medical Informatics Association Summit on Translational Bioinformatics, San Francisco, CA, March, 2009.

2008

Cockburn, M., Bonham, V., Carter-Pokras, O., Gee, G., Kington, R., Lange, N., Makuc, D., Kraft, P., Phillips, M., Kwok, R., Maiese, D., Wagener, D., Ramos, E., Nettles, D., & Hamilton, C. M. Demographic measures for cross-study analyses. Presented at the meeting of the American Society of Human Genetics, Philadelphia, PA, November, 2008.

Hamilton, C. M., Ramos, E., Kwok, R., Maiese, D., Wagener, D., Harlan, W., & Haines, J. PhenX: Consensus measures to facilitate cross-study analyses for genome-wide association studies. Presented at the meeting of the American Society of Human Genetics (ASHG), Philadelphia, PA, November, 2008.

Wagener, D., Haines, J., Harlan, W., Kwok, R., Maiese, D., Ramos, E., & Hamilton, C. M. Consensus measures for genome-wide association studies of common diseases. Presented at the meeting of the Genomics of Common Diseases, Cambridge, MA, September, 2008.

Publications Citing PhenX (244)
2018

Silveira, M. L., et al. (2018) Longitudinal associations between youth tobacco and substance use in waves 1 and 2 of the Population Assessment of Tobacco and Health (PATH) Study. Drug Alcohol Depend. 2018 Oct; 2018(191): 25-36. doi: 10.1016/j.drugalcdep.2018.06.018 . Epub 2018 Jul 25

Danos, D., et al. (2018) Increased Risk of Hepatocellular Carcinoma Associated With Neighborhood Concentrated Disadvantage. Front Oncol.. 2018 Sep; 2018(8): 375. doi: 10.3389/fonc.2018.00375 . Epub 2018 Sep 11

Danos, D., et al. (2018) Social determinants of hepatocellular carcinoma in Louisiana. Front Oncol.. 2018 Sep; 2018(8): 375. doi: 10.3389/fonc.2018.00375 . Epub 2018 Sep 11

Chen, A., et al. (2018) Nicotine metabolite ratio predicts smoking topography: The Pennsylvania Adult Smoking Study. Drug Alcohol Depend. 2018 Sep; 190: 89-93. doi: 10.1016/j.drugalcdep.2018.06.003 . Epub 2018 Jul 4

Hankins, J. S., et al. (2018) Sickle Cell Clinical Research and Intervention Program (SCCRIP): A lifespan cohort study for sickle cell disease progression from the pediatric stage into adulthood. Pediatr Blood Cancer.. 2018 Sep; 65(9): 27228. doi: 10.1002/pbc.27228 . Epub 2018 May 24

Hobkirk, A. L., et al. (2018) Income as a moderator of psychological stress and nicotine dependence among adult smokers. Addict Behav. 2018 Sep; 84: 215-223. doi: 10.1016/j.addbeh.2018.04.021 . Epub 2018 Apr 27

McClure, E. A., et al. (2018) Tobacco use during cannabis cessation: Use patterns and impact on abstinence in a National Drug Abuse Treatment Clinical Trials Network study. Drug Alcohol Depend. . 2018 Aug; 2018(192): 59-66. doi: 10.1016/j.drugalcdep.2018.07.018 . Epub 2018 Aug 25

Unger, J. B. (2018) Perceived Discrimination as a Risk Factor for Use of Emerging Tobacco Products: More Similarities Than Differences Across Demographic Groups and Attributions for Discrimination. Subst Use Misuse.. 2018 Aug; 53(10): 1638-1644. doi: 10.1080/10826084.2017.1421226 . Epub 2018 Jan 17

Somerville, L. H., et al. (2018) The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds. Neuroimage.. 2018 Aug; 2018(183): 456-468. doi: 10.1016/j.neuroimage.2018.08.050 . Epub 2018 Aug 22

Varghese, J., et al. (2018) CDEGenerator: an online platform to learn from existing data models to build model registries. Clin Epidemiol.. 2018 Aug; 2018(10): 961-970. doi: 10.2147/CLEP.S170075. . Epub 2018 Aug 10

Feldstein Ewing, S. W., et al. (2018) Implications of the ABCD study for developmental neuroscience. Addict Behav. 2018 Aug; 76: 208-217. doi: 10.1016/j.dcn.2018.05.003

Lee, S., et al. (2018) Peer Group and Text Message-Based Weight-Loss and Management Intervention for African American Women. West J Nurs Res.. 2018 Aug; 40(8): 1213-1219. doi: 10.1177/0193945917697225 . Epub 2017 Mar 23

Hoffberg, A. S., et al. (2018) Suicidal Self-Directed Violence Among Homeless US Veterans: A Systematic Review. Suicide Life Threat Behav.. 2018 Aug; 81(4): 481-498. doi: 10.1111/sltb.12369 . Epub 2017 Jul 21

Kaina, B., et al. (2018) Inherent and toxicant-provoked reduction in DNA repair capacity: A key mechanism for personalized risk assessment, cancer prevention and intervention, and response to therapy. Int J Hyg Environ Health. . 2018 Aug; 221(7): 993-1006. doi: 10.1016/j.ijheh.2018.07.003 . Epub 2018 Jul 21

Huser, V. and D. Shmueli-Blumberg. (2018) Data sharing platforms for de-identified data from human clinical trials. Clin Trials. . 2018 Aug; 15(4): 413-423. doi: 10.1177/1740774518769655 . Epub 2018 Apr 1

Merz, E. C., et al. (2018) Anxiety, depression, impulsivity, and brain structure in children and adolescents. Neuroimage Clin.. 2018 Jul; 2018(20): 243-251. doi: 10.1016/j.nicl.2018.07.020 . Epub 2018 Jul 24

Singh, A., et al. (2018) Developing a synthetic psychosocial stress measure and harmonizing CVD-risk data: a way forward to GxE meta- and mega-analyses. BMC Res Notes.. 2018 Jul; 11(1): 504. doi: 10.1186/s13104-018-3595-z . Epub 2018 Jul 24

Lausch, A., et al. (2018) Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches. Remote Sens.. 2018 Jul; 10(7): 1120. doi: 10.3390/rs10071120 . Epub 2018 Jul 15

Castner, J., et al. (2018) Community interest and feasibility of using a novel smartphone-based formaldehyde exposure detection technology. Public Health Nurs. . 2018 Jul; 35(4): 361-372. doi: 10.1111/phn.12384 . Epub 2018 Jan 11

Davison, S. N. (2018) Personalized Approach and Precision Medicine in Supportive and End-of-Life Care for Patients With Advanced and End-Stage Kidney Disease. Semin Nephrol.. 2018 Jul; 38(4): 336-345. doi: 10.1016/j.semnephrol.2018.05.004 . Epub 2018 May 4

Shenoy, S., et al. (2018) Late Effects Screening Guidelines after Hematopoietic Cell Transplantation (HCT) for Hemoglobinopathy: Consensus Statement from the Second Pediatric Blood and Marrow Transplant Consortium International Conference on Late Effects after Pediatric HCT. Biol Blood Marrow Transplant.. 2018 Jul; 24(7): 1313-1321. doi: 10.1016/j.bbmt.2018.04.002 . Epub 2018 Apr 10

Qi, W., et al. (2018) Application of data pooling to longitudinal studies of early post-traumatic stress disorder (PTSD): the International Consortium to Predict PTSD (ICPP) project. Eur J Psychotraumatol. 2018 Jun; 9(1): 1476442. doi: 10.1080/20008198.2018.1476442

Cummings, J., et al. (2018) The price of progress: Funding and financing Alzheimer's disease drug development. Alzheimers Dement (N Y). . 2018 Jun; 2018(4): 330-343. doi: 10.1016/j.trci.2018.04.008 . Epub 2018 Jun 13

Benjamin, C. Y., et al. (2018) Emerging Trends in Clinical Research With Implications for Population Health and Health Policy. Milbank Quarterly.. 2018 Jun; 96(2): 369-401. doi: 10.1111/1468-0009.12328 . Epub 2018 Jun 4

Green, V. R., et al. (2018) Body mass index and tobacco-product use among U.S. youth: Findings from wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study. Addict Behav. 2018 Jun; 81: 91-95. doi: 10.1016/j.addbeh.2018.02.005 . Epub 2018 Feb 5

Khoury, M. J., et al. (2018) From public health genomics to precision public health: a 20-year journey. Genet Med. 2018 Jun; 20(6): 574-582. doi: 10.1038/gim.2017.211 . Epub 2017 Dec 14

Oluwoye, O., et al. (2018) Using a randomized controlled trial to test whether modifications to contingency management improve outcomes for heavy drinkers with serious mental illness. Contemp Clin Trials. 2018 Jun; 69: 92-98. doi: 10.1016/j.cct.2018.04.010 . Epub 2018 Apr 20

Salazar, L. F., et al. (2018) Precollege Sexual Violence Perpetration and Associated Risk and Protective Factors Among Male College Freshmen in Georgia.. J Adolesc Health. 2018 Jun; 62(3S): S51-S57. doi: 10.1016/j.jadohealth.2017.09.028

Chen, L. W., et al. (2018) Body composition measurement in young children using quantitative magnetic resonance: a comparison with air displacement plethysmography. Pediatr Obes.. 2018 Jun; 13(4): 365-373. doi: 10.1111/ijpo.12250 . Epub 2017 Oct 12

Claus, E. D. and Shane, M. S. (2018) dACC response to presentation of negative feedback predicts stimulant dependence diagnosis and stimulant use severity. Neuroimage Clin. 2018 May; 20: 16-23. doi: 10.1016/j.nicl.2018.05.007

Robinson, R. J., et al. (2018) Effect of e-liquid flavor on electronic cigarette topography and consumption behavior in a 2-week natural environment switching study.. PLoS One. 2018 May; 12(5): e0196640. doi: 10.1371/journal.pone.0196640

Ioannidis, J. P. A., M. J. Khoury (2018) Evidence-based medicine and big genomic data. Hum Mol Genet. 2018 May; 27(R1): R2-R7. doi: 10.1093/hmg/ddy065

Rosas, L. G., et al. (2018) HOMBRE: A randomized controlled trial to compare two approaches to weight loss for overweight and obese Latino men (Hombres con Opciones para Mejorar el Bienestar y bajar el Riesgo de Enfermedades crónicas; men with choices to improve well-being and decrease chronic disease risk).. Contemp Clin Trials. 2018 May; 68: 23-34. doi: 10.1016/j.cct.2018.02.019 . Epub 2018 Mar 2

Schleicher, N. C., et al. (2018) Concordance of Advertised Cigarette Prices with Purchase Receipts in the United States. Tobacco Regulatory Science . 2018 May; 4(3): 3-9. doi: 10.18001/TRS.4.3.1

Stanfill, A. G. and A. Starlard-Davenport (2018) Primer in Genetics and Genomics, Article 7—Multifactorial Concepts: Gene–Gene Interactions . Biol Res Nurs. 2018 May; 20(3): 359-364. doi: 10.1177/1099800418761098 . Epub 2018 Mar 7

Webel, A. R., et al. (2018) Randomized Controlled Trial of the SystemCHANGE Intervention on Behaviors Related to Cardiovascular Risk in HIV+ Adults. J Acquir Immune Defic Syndr.. 2018 May; 78(1): 23-33. doi: 10.1097/QAI.0000000000001635 . Epub 2018 May 1

Webel, A. R., et al. (2018) The Influence of Exercise on Cardiovascular Health in Sedentary Adults With Human Immunodeficiency Virus. J Cardiovasc Nurs. . 2018 May; 33(3): 239-247. doi: 10.1097/JCN.0000000000000450 . Epub 2018 May 1

Brown L.D., Vasquez D., Salinas J.J., Tang X., Balcázar H. (2018) Evaluation of Healthy Fit: A Community Health Worker Model to Address Hispanic Health Disparities.. Prev Chronic Dis. 2018 Apr; 15: E49. doi: 10.5888/pcd15.170347

Mulder, N., et al. (2018) H3Africa: current perspectives. Pharmgenomics Pers Med. 2018 Apr; 11: 59-66. doi: 10.2147/PGPM.S141546

Weaver, S. R., et al. (2018) Establishing consensus on survey measures for electronic nicotine and non-nicotine delivery system use: Current challenges and considerations for researchers. Addict Behav. 2018 Apr; 79: 203-212. doi: 10.1016/j.addbeh.2017.11.016 . Epub 2017 Nov 16

Cao Y., Wang T., Wu Y., Juan J., Qin X., Tang X., Wu T., Hu Y. (2018) Opposite Genetic Effects of CMIP Polymorphisms on the Risk of Type 2 Diabetes and Obesity: A Family-Based Study in China. Int J Mol Sci. 2018 Apr; 19(4): 1011. doi: 10.3390/ijms19041011

Cha C.B., Franz P.J., M Guzmán E., Glenn C.R., Kleiman E.M., Nock M.K. (2018) Annual Research Review: Suicide among youth - epidemiology, (potential) etiology, and treatment.. J Child Psychol Psychiatry. 2018 Apr; 59(4): 460-482. doi: 10.1111/jcpp.12831 . Epub 2017 Nov 1

Esrick, E. B. and D. E. Bauer (2018) Genetic therapies for sickle cell disease. Semin Hematol.. 2018 Apr; 55(2): 76-86. doi: 10.1053/j.seminhematol.2018.04.014 . Epub 2018 May 7

Chen, L. S., et al. (2018) Leveraging Genomic Data in Smoking Cessation Trials in the Era of Precision Medicine: Why and How.. Nicotine Tob Res. 2018 Mar; 20(4): 414-424. doi: 10.1093/ntr/ntx097

Saccone, N. L., et al. (2018) The Value of Biosamples in Smoking Cessation Trials: A Review of Genetic, Metabolomic, and Epigenetic Findings.. Nicotine Tob Res. 2018 Mar; 20(4): 403-413. doi: 10.1093/ntr/ntx096

Chen, L. W., et al. (2018) Which anthropometric measures best reflect neonatal adiposity?. Int J Obes (Lond). 2018 Mar; 42(3): 501-506. doi: 10.1038/ijo.2017.250

Gur, R. C. (2018) Investments in Community-Based Longitudinal Studies Continue to Bear Fruit. JAMA Psychiatry. 2018 Mar; 75(3): 231-232. doi: 10.1001/jamapsychiatry.2017.4582

Lilienfeld, S. O., et al. (2018) Potential effects of severe bilateral amygdala damage on psychopathic personality features: A case report. Personal Disord. 2018 Mar; 9(2): 112-121. doi: 10.1037/per0000230. . Epub 2016 Dec 12

Merz, E. C., et al. (2018) Socioeconomic Status, Amygdala Volume, and Internalizing Symptoms in Children and Adolescents. J Clin Child Adolesc Psychol. 2018 Mar; 47(2): 312-323. doi: 10.1080/15374416.2017.1326122 . Epub 2017 Jun 2

Petrikin, J. E., et al. (2018) The NSIGHT1-randomized controlled trial: rapid whole-genome sequencing for accelerated etiologic diagnosis in critically ill infants.. NPJ Genom Med. 2018 Feb; 3: 6. doi: 10.1038/s41525-018-0045-8

Stevens, A. K., et al. (2018) Testing measurement invariance of the UPPS-P Impulsive Behavior Scale in Hispanic/Latino and non-Hispanic/Latino college students. Psychol Assess. 2018 Feb; 30(2): 280-285. doi: 10.1037/pas0000494 . Epub 2017 May 8

Brincks A., Montag S., Howe G.W., Huang S., Siddique J., Ahn S., Sandler I.N., Pantin H., Brown C.H. (2018) Addressing Methodologic Challenges and Minimizing Threats to Validity in Synthesizing Findings from Individual-Level Data Across Longitudinal Randomized Trials.. Prev Sci. 2018 Feb; 19(Suppl 1): 60-73. doi: 10.1007/s11121-017-0769-1

Preszler, J., et al. (2018) Network analysis of psychopathy in forensic patients.. J Abnorm Psychol. 2018 Feb; 127(2): 171-182. doi: 10.1037/abn0000325

Graves, K. D., et al. (2018) Introduction to the Special Issue on Clinical and Public Health Genomics: Opportunities for translational behavioral medicine research, practice, and policy. Transl Behav Med. 2018 Jan; 8(1): 4-6. doi: 10.1093/tbm/ibx068

Peterson, E. B., et al. (2018) Communication of cancer-related genetic and genomic information: A landscape analysis of reviews. Transl Behav Med. 2018 Jan; 8(1): 59-70. doi: 10.1093/tbm/ibx063

Conway, K. P., et al. (2018) Co-occurrence of tobacco product use, substance use, and mental health problems among youth: Findings from wave 1 (2013-2014) of the population assessment of tobacco and health (PATH) study. Addict Behav. 2018 Jan; 76: 208-217. doi: 10.1016/j.addbeh.2017.08.009 . Epub 2017 Aug 18

2017

Grimaldi, K. A., et al. (2017) Proposed guidelines to evaluate scientific validity and evidence for genotype-based dietary advice. Genes Nutr. 2017 Dec; 12: 35. doi: 10.1186/s12263-017-0584-0

Juan, J., et al. (2017) Joint Effects of PON1 Polymorphisms and Vegetable Intake on Ischemic Stroke: A Family-Based Case Control Study. Int J Mol Sci. 2017 Dec; 18(12): E2652. doi: 10.3390/ijms18122652

Sears, M., et al. (2017) A Prospective Multi-Centered Registry Is Feasible in Sickle Cell Disease: Globin Regional Network for Data and Discovery (GRNDaD). Blood. 2017 Dec; 130(Suppl 1): 3375.

Forray, A., et al. (2017) Progesterone for smoking relapse prevention following delivery: A pilot, randomized, double-blind study. Psychoneuroendocrinology. 2017 Dec; 86: 96-103. doi: 10.1016/j.psyneuen.2017.09.012 . Epub 2017 Sep 14

Adebamowo, S. N., et al. (2017) Cohort Profile: African Collaborative Center for Microbiome and Genomics Research's (ACCME's) Human Papillomavirus (HPV) and Cervical Cancer Study. Int J Epidemiol. 2017 Dec; 46(6): 1745-1745j. doi: 10.1093/ije/dyx050

Wilson, B. J., et al (2017) Controversy and debate on clinical genomics sequencing-paper 1: genomics is not exceptional: rigorous evaluations are necessary for clinical applications of genomic sequencing.. J Clin Epidemiol. 2017 Dec; 92: 4-6. doi: 10.1016/j.jclinepi.2017.08.018 . Epub 2017 Sep 1

Avinun, R., et al. (2017) Replication in Imaging Genetics: The Case of Threat-Related Amygdala Reactivity. Biol Psychiatry. 2017 Nov; pii: S0006-3223(17)32196-0. doi: 10.1016/j.biopsych.2017.11.010

Barch, D. M., et al. (2017) Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: Rationale and description. Dev Cogn Neurosci. 2017 Nov; pii: S1878-9293(17)30068-3. doi: 10.1016/j.dcn.2017.10.010

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Kathuria, H., et al. (2017) Stakeholder Research Priorities for Smoking Cessation Interventions within Lung Cancer Screening Programs. An Official American Thoracic Society Research Statement. Am J Respir Crit Care Med. 2017 Nov; 196(9): 1202-1212. . doi: 10.1164/rccm.201709-1858ST

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Wright, F. and K. Fessele. (2017) Primer in Genetics and Genomics, Article 5-Further Defining the Concepts of Genotype and Phenotype and Exploring Genotype-Phenotype Associations. Biol Res Nurs. 2017 Oct; 19(5): 576-585. doi: 10.1177/1099800417725190

McCollister, K., et al. (2017) Monetary conversion factors for economic evaluations of substance use disorders. J Subst Abuse Treat. 2017 Oct; 81: 25-34. doi: 10.1016/j.jsat.2017.07.008 . Epub 2017 Jul 18

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Dotterer, H. L., et al. (2017) Concurrent and developmental correlates of psychopathic traits using a triarchic psychopathy model approach. J Abnorm Psychol. 2017 Oct; 126(7): 859-876. doi: 10.1037/abn0000302

McHugh, R. K., et al. (2017) Development of an integrated cognitive behavioral therapy for anxiety and opioid use disorder: Study protocol and methods. Contemp Clin Trials. 2017 Sep; 60: 105-112. doi: 10.1016/j.cct.2017.07.006 . Epub 2017 Jul 8

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Patel, C. J., et al. (2017) Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies. Cancer Epidemiol Biomarkers Prev. 2017 Sep; 26(9): 1370-1380. doi: 10.1158/1055-9965.EPI-17-0459 . Epub 2017 Jul 14

Ma, J., et al. (2017) Profiles of sociodemographic, behavioral, clinical and psychosocial characteristics among primary care patients with comorbid obesity and depression. Prev Med Rep. 2017 Aug; 8: 42-50. doi: 10.1016/j.pmedr.2017.07.010

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Conway, K.P., et al. (2017) Co-occurrence of tobacco product use, substance use, and mental health problems among adults: Findings from Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study. Drug Alcohol Depend. 2017 Aug; 177: 104-111. doi: 10.1016/j.drugalcdep.2017.03.032 . Epub 2017 May 30

Chartier, K. G., et al. (2017) Conclusion: Special issue on genetic and alcohol use disorder research with diverse racial/ethnic groups: Key findings and potential next steps. Am J Addict. 2017 Aug; 26(5): 532-537. doi: 10.1111/ajad.12585

Peters, E. S., et al. (2017) The Women and Their Children's Health (WaTCH) study: methods and design of a prospective cohort study in Louisiana to examine the health effects from the BP oil spill. BMJ Open. 2017 Jul; 7(7): e014887. doi: 10.1136/bmjopen-2016-014887

Aris, I. M., et al. (2017) Postnatal height and adiposity gain, childhood blood pressure and prehypertension risk in an Asian birth cohort. Int J Obes (Lond). 2017 Jul; 41(7): 1011-1017. doi: 10.1038/ijo.2017.40 . Epub 2017 Feb 10

Tarleton, E. K., et al. (2017) Role of magnesium supplementation in the treatment of depression: A randomized clinical trial. PLoS One. 2017 Jun; 12(6): e0180067. doi: 10.1371/journal.pone.0180067

Bennett, A. S., et al. (2017) A behavioral typology of opioid overdose risk behaviors among recent veterans in New York City. PLoS One. 2017 Jun; 12(6): e0179054. doi: 10.1371/journal.pone.0179054

Dietz, A.C., et al. (2017) Late Effects Screening Guidelines after Hematopoietic Cell Transplantation for Inherited Bone Marrow Failure Syndromes: Consensus Statement From the Second Pediatric Blood and Marrow Transplant Consortium International Conference on Late Effects After Pediatric HCT. Biology of Blood and Marrow Transplantation. 2017 May; 23(9): 1422-1428. doi: 10.1016/j.bbmt.2017.05.022 . Epub 2017 May 19

Sanghera, D. K., et al. (2017) Vitamin D Status, Gender Differences, and Cardiometabolic Health Disparities. Ann Nutr Metab. 2017 May; 70(2): 79-87. doi: 10.1159/000458765 . Epub 2017 Mar 18

Farber, G. K. (2017) Can data repositories help find effective treatments for complex diseases?. Prog Neurobiol. 2017 May; 152: 200-212. doi: 10.1016/j.pneurobio.2016.03.008 . Epub 2016 Mar 24

Durand, G., et al. (2017) Negative attitudes towards psychopaths: The role of one's own psychopathic traits. Personality and Individual Differences. 2017 Apr; 109: 72-76. doi: 10.1016/j.paid.2016.12.047

Kwok, R. K., et al. (2017) The GuLF STUDY: A Prospective Study of Persons Involved in the Deepwater Horizon Oil Spill Response and Clean-Up. Environ Health Perspect. 2017 Apr; 125(4): 570-578. doi: 10.1289/EHP715 . Epub 2017 Mar 31

Anderson, A. J., et al. (2017) Poor Consumption of Fiber, not fat, is Associated with Active Disease in Inflammatory Bowel Disease. Gastroenterology. 2017 Apr; 152(5 S1): S365. doi: 10.1016/S0016-5085(17)31474-9

Aris, I. M., et al. (2017) Infant body mass index peak and early childhood cardio-metabolic risk markers in a multi-ethnic Asian birth cohort.. Int J Epidemiol. 2017 Apr; 46(2): 513-525. doi: 10.1093/ije/dyw232

Manrai, A. K., et al. (2017) Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health. Annu Rev Public Health. 2017 Mar; 38: 279-294. doi: 10.1146/annurev-publhealth-082516-012737 . Epub 2016 Dec 23

Sanderson, S. C., et al. (2017) Public Attitudes toward Consent and Data Sharing in Biobank Research: A Large Multi-site Experimental Survey in the US. Am J Hum Genet. 2017 Mar; 100(3): 414-427. doi: 10.1016/j.ajhg.2017.01.021 . Epub 2017 Feb 9

Levin, M. A., et al. (2017) iGAS: A framework for using electronic intraoperative medical records for genomic discovery. J Biomed Inform. 2017 Mar; 67: 80-89. doi: 10.1016/j.jbi.2017.02.005 . Epub 2017 Feb 11

Coulon, S. J., et al. (2017) Racial differences in neighborhood disadvantage, inflammation and metabolic control in black and white pediatric type 1 diabetes patients. Pediatr Diabetes. 2017 Mar; 18(2): 120-127. doi: 10.1111/pedi.12361 . Epub 2016 Jan 18

Modibbo, F., et al. (2017) Randomized trial evaluating self-sampling for HPV DNA based tests for cervical cancer screening in Nigeria. Infect Agent Cancer. 2017 Feb; 12: 11. doi: 10.1186/s13027-017-0123-z

Stevens, A. K., et al. (2017) Do individuals higher in impulsivity drink more impulsively? A pilot study within a high risk sample of young adults. Addict Behav.. 2017 Feb; 65: 147-153. doi: 10.1016/j.addbeh.2016.10.026 . Epub 2016 Oct 28

Phillips, K. A., et al. (2017) Current drug users and women have higher rates of risky sexual behaviors. Drug and Alcohol Dependence. 2017 Feb; 171: e165–e166. doi: 10.1016/j.drugalcdep.2016.08.455

Douet, V., et al. (2017) Sex differences on cortical brain morphometry and behaviors in adolescent marijuana users. Drug and Alcohol Dependence. 2017 Feb; 171: e55-e56. doi: 10.1016/j.drugalcdep.2016.08.164

Salmoirago-Blotcher, E., et al. (2017) Phone-delivered mindfulness training to promote medication adherence and reduce sexual risk behavior among persons living with HIV: Design and methods. Contemp Clin Trials. 2017 Feb; 53: 162-170. doi: 10.1016/j.cct.2016.12.016 . Epub 2016 Dec 23

Burley, D. T., et al. (2017) As Far as the Eye Can See: Relationship between Psychopathic Traits and Pupil Response to Affective Stimuli. PLoS One. 2017 Jan; 12(1): e0167436. doi: 10.1371/journal.pone.0167436

Sheeran, P., et al. (2017) Health Behavior Change: Moving from Observation to Intervention. Annu Rev Psychol. 2017 Jan; 68: 573-600. doi: 10.1146/annurev-psych-010416-044007 . Epub 2016 Sep 8

Scribner, R. A., et al. (2017) The Social Determinants of Health Core: Taking a Place-Based Approach. Am J Prev Med. 2017 Jan; 52(1S1): S13-S19. doi: 10.1016/j.amepre.2016.09.025

Dixon, L. (2017) What It Will Take to Make Coordinated Specialty Care Available to Anyone Experiencing Early Schizophrenia: Getting Over the Hump. JAMA Psychiatry. 2017 Jan; 74(1): 10.1001/jamapsychiatry.2016.2665.

Bot, M., et al. (2017) Validity of LIDAS (LIfetime Depression Assessment Self-report): a self-report online assessment of lifetime major depressive disorder. Psychol Med. 2017 Jan; 47(2): 279-289. doi: 10.1017/S0033291716002312 . Epub 2016 Oct 5

Blanch, A., et al. (2017) Ontologies about human behavior: A review of knowledge modeling systems. European Psychologist. 2017 Jan; 22(3): 180-197. doi: 10.1027/1016-9040/a000295

Zullig, K. J., et al. (2017) Preliminary Development of the Student Perceptions of School Safety Officers Scale. Journal of School Violence . 2017 Jan; 16(1): 104-118. doi: 10.1080/15388220.2015.1116994

2016

Chen, L. W., et al. (2016) Associations of Maternal Dietary Patterns during Pregnancy with Offspring Adiposity from Birth Until 54 Months of Age. Nutrients. 2016 Dec; 9(1): E2. doi: 10.3390/nu9010002

Aris, I. M., et al. (2016) MC3R gene polymorphisms are associated with early childhood adiposity gain and infant appetite in an Asian population. Pediatr Obes. 2016 Dec; 11(6): 450-458. doi: 10.1111/ijpo.12086 . Epub 2015 Dec 11

Collison, K. L., et al. (2016) Development and validation of the super-short form of the Elemental Psychopathy Assessment. Journal of Criminal Justice. 2016 Dec; 47: 143-150. doi: 10.1016/j.jcrimjus.2016.09.002

Anderson, A. J. M., et al. (2016) Development of an Inflammatory Bowel Disease Research Registry Derived from Observational Electronic Health Record Data for Comprehensive Clinical Phenotyping. Dig Dis Sci.. 2016 Nov; 61(11): 3236-3245. doi: 10.1007/s10620-016-4278-z . Epub 2016 Sep 12

de Souza, R. J., et al. (2016) Harmonization of Food-Frequency Questionnaires and Dietary Pattern Analysis in 4 Ethnically Diverse Birth Cohorts. J Nutr. 2016 Nov; 146(11): 2343-2350. doi: 10.3945/jn.116.236729 . Epub 2016 Oct 5

Bovin, M. J., et al. (2016) Psychometric properties of the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PCL-5) in veterans. Psychol Assess. 2016 Nov; 28(11): 1379-1391. doi: 10.1037/pas0000254 . Epub 2015 Dec 14

Henriksen, L., et al. (2016) Standardized Tobacco Assessment for Retail Settings (STARS): dissemination and implementation research. Tobacco Control. 2016 Oct; 25(Suppl 1): i67-i74. doi: 10.1136/tobaccorcontrol-2016-053076

Tomko, R. L., et al. (2016) Personalizing substance use treatment based on pre-treatment impulsivity and sensation seeking: A review. Drug Alcohol Depend. 2016 Oct; 167: 1-7. doi: 10.1016/j.drugalcdep.2016.07.022 . Epub 2016 Jul 27

Pavlakis, S. G. and M. Hirano. (2016) Mitochondrial Diseases: A Clinical and Molecular History. Pediatr Neurol. 2016 Oct; 63: 3-5. doi: 10.1016/j.pediatrneurol.2016.05.014 . Epub 2016 Jun 2

Minicuci, N., et al. (2016) Data Resource Profile: Cross-national and cross-study sociodemographic and health-related harmonized domains from SAGE plus ELSA, HRS and SHARE (SAGE+, Wave 1). Int J Epidemiol. 2016 Oct; 45(5): 1403-1403j. doi: 10.1093/ije/dyw181 . Epub 2016 Oct 29

Grondin, C. J., et al. (2016) Advancing Exposure Science through Chemical Data Curation and Integration in the Comparative Toxicogenomics Database. Environ Health Perspect. 2016 Oct; 124(10): 1592-1599. doi: 10.1289/EHP174 . Epub 2016 May 12

Umakanthan, S., et al. (2016) Low dietary fiber intake in inflammatory bowel disease is associated with active disease and poor quality of life. American Journal of Gastroenterology. 2016 Sep; 111(Supplement 1): S301.

Kuriyama S., et al. (2016) The Tohoku Medical Megabank Project: Design and Mission. J Epidemiol. 2016 Sep; 26(9): 493-511. doi: 10.2188/jea.JE20150268 . Epub 2016 Jul 2

Wu, L.T., et al. (2016) Design of the NIDA clinical trials network validation study of tobacco, alcohol, prescription medications, and substance use/misuse (TAPS) tool. Contemp Clin Trials. 2016 Sep; 50: 90-7. doi: 10.1016/j.cct.2016.07.013 . Epub 2016 Jul 19

Lin, C. H., et al. (2016) An exploratory study using an openEHR 2-level modeling approach to represent common data elements. J Am Med Inform Assoc. 2016 Sep; 23(5): 956-67. doi: 10.1093/jamia/ocv137 . Epub 2016 Jan 23

Ong, Y. L., et al. (2016) The association of maternal vitamin D status with infant birth outcomes, postnatal growth and adiposity in the first 2 years of life in a multi-ethnic Asian population: the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort study. Br J Nutr. 2016 Aug; 116(4): 621-31. doi: 10.1017/S0007114516000623 . Epub 2016 Jun 24

Kwako, L. E., et al. (2016) Addictions Neuroclinical Assessment: A Neuroscience-Based Framework for Addictive Disorders. Biol Psychiatry. 2016 Aug; 80(3): 179-89. doi: 10.1016/j.biopsych.2015.10.024 . Epub 2015 Nov 17

Hall, M. A., et al. (2016) Embracing Complex Associations in Common Traits: Critical Considerations for Precision Medicine. Trends Genet. 2016 Aug; 32(8): 470-484. doi: 10.1016/j.tig.2016.06.001

Talley, A. E., et al. (2016) Addressing gaps on risk and resilience factors for alcohol use outcomes in sexual and gender minority populations. Drug Alcohol Rev. 2016 Jul; 35(4): 484-93. doi: 10.1111/dar.12387 . Epub 2016 Apr 13

Newman, E., et al. (2016) Anxiety is related to indices of cortical maturation in typically developing children and adolescents. Brain Struct Funct. 2016 Jul; 221(6): 3013-25. doi: 10.1007/s00429-015-1085-9 . Epub 2015 Jul 17

Krebs, N. M., et al. (2016) Comparison of Puff Volume With Cigarettes per Day in Predicting Nicotine Uptake Among Daily Smokers. Am J Epidemiol. 2016 Jul; 184(1): 48-57. doi: 10.1093/aje/kwv341 . Epub 2016 Jun 16

Barch, D. M., et al. (2016) Common Measures for National Institute of Mental Health Funded Research. Biol Psychiatry. 2016 Jun; 79(12): e91-6. doi: 10.1016/j.biopsych.2015.07.006 . Epub 2016 Feb 19

Gietzelt, M., et al. (2016) Models and Data Sources Used in Systems Medicine. A Systematic Literature Review. Methods Inf Med. 2016 Jun; 55(2): 107-13. doi: 10.3414/ME15-01-0151 . Epub 2016 Feb 5

Baumeister, S. E., et al. (2016) Physical activity surveillance in the European Union: reliability and validity of the European Health Interview Survey-Physical Activity Questionnaire (EHIS-PAQ). International Journal of Behavioral Nutrition and Physical Activity. 2016 May; 13: 61. doi: 10.1186/s12966-016-0386-6

Steinglass, J. E. and B. T. Walsh. (2016) Neurobiological model of the persistence of anorexia nervosa. J Eat Disord. 2016 May; 4: 19. doi: 10.1186/s40337-016-0106-2

Webel, A. R., et al. (2016) Social resources, health promotion behavior, and quality of life in adults living with HIV. Appl Nurs Res. 2016 May; 30: 204-9. doi: 10.1016/j.apnr.2015.08.001 . Epub 2015 Aug 7

Sullivan, E. V., et al. (2016) Cognitive, emotion control, and motor performance of adolescents in the NCANDA study: Contributions from alcohol consumption, age, sex, ethnicity, and family history of addiction. Neuropsychology. 2016 May; 30(4): 449-73. doi: 10.1037/neu0000259 . Epub 2016 Jan 11

Rosas, L. G., et al. (2016) Evaluation of a culturally-adapted lifestyle intervention to treat elevated cardiometabolic risk of Latino adults in primary care (Vida Sana): A randomized controlled trial. Contemp Clin Trials. 2016 May; 48: 30-40. doi: 10.1016/j.cct.2016.03.003 . Epub 2016 Mar 16

Kepper, M., et al. (2016) Prepubertal children exposed to concentrated disadvantage: An exploratory analysis of inflammation and metabolic dysfunction. Obesity (Silver Spring). 2016 May; 24(5): 1148-53. doi: 10.1002/oby.21462 . Epub 2016 Mar 9

Vande Loo, S. J. and F. North. (2016) Patient question set proliferation: scope and informatics challenges of patient question set management in a large multispecialty practice with case examples pertaining to tobacco use, menopause, and Urology and Orthopedics specialties. BMC Med Inform Decis Mak. 2016 Apr; 16: 41. doi: 10.1186/s12911-016-0279-2

Sapkota, B. R., et al. (2016) Genome-wide association study of 25(OH) Vitamin D concentrations in Punjabi Sikhs: Results of the Asian Indian diabetic heart study. J Steroid Biochem Mol Biol. 2016 Apr; 158: 149-156. doi: 10.1016/j.jsbmb.2015.12.014 . Epub 2015 Dec 15

Lorenzetti, V., et al. (2016) The Role of Cannabinoids in Neuroanatomic Alterations in Cannabis Users. Biol Psychiatry. 2016 Apr; 79(7): e17-31. doi: 10.1016/j.biopsych.2015.11.013 . Epub 2015 Dec 4

Spjuth, O., et al. (2016) Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research. Eur J Hum Genet. 2016 Apr; 24(4): 521-8. doi: 10.1038/ejhg.2015.165 . Epub 2015 Aug 26

Kessler, R. M., et al. (2016) The neurobiological basis of binge-eating disorder. Neurosci Biobehav Rev. 2016 Apr; 63: 223-38. doi: 10.1016/j.neubiorev.2016.01.013 . Epub 2016 Feb 2

Mulder, N., et al. (2016) Proceedings of a Sickle Cell Disease Ontology workshop - Towards the first comprehensive ontology for Sickle Cell Disease. Appl Transl Genom. 2016 Mar; 9: 23-9. doi: 10.1016/j.atg.2016.03.005

Winhusen, T., et al. (2016) Design considerations for a pilot trial using a novel approach for evaluating smoking-cessation medication in methadone-maintained smokers. Contemp Clin Trials. 2016 Mar; 47: 334-9. doi: 10.1016/j.cct.2016.02.008 . Epub 2016 Mar 2

Sward, K. A., et al. (2016) Case Study: Semantic Annotation of a Pediatric Critical Care Research Study. Comput Inform Nurs. 2016 Mar; 34(3): 101-4. doi: 10.1097/CIN.0000000000000236

Kingston, B. E., et al. (2016) Building an evidence-based multitiered system of supports for high-risk youth and communities. Am J Orthopsychiatry. 2016 Mar; 86(2): 132-43. doi: 10.1037/ort0000110

Bush, W. S., et al. (2016) Unravelling the human genome-phenome relationship using phenome-wide association studies. Nat Rev Genet. 2016 Mar; 17(3): 129-45. doi: 10.1038/nrg.2015.36 . Epub 2016 Feb 15

Dugas, M., et al. (2016) Portal of medical data models: information infrastructure for medical research and healthcare. Database (Oxford). 2016 Feb; 2016. pii: bav121. doi: 10.1093/database/bav121

Stevens, A. K., et al. (2016) Does drinking refusal self-efficacy mediate the impulsivity-problematic alcohol use relation?. Addict Behav. 2016 Feb; 53: 181-6. doi: 10.1016/j.addbeh.2015.10.019 . Epub 2015 Oct 28

Littlefield, A. K., et al. (2016) Changes in negative urgency, positive urgency, and sensation seeking across adolescence. Pers Individ Dif. 2016 Feb; 90: 332-337. doi: 10.1016/j.paid.2015.11.024

Tyler, A. L., et al. (2016) The detection and characterization of pleiotropy: discovery, progress, and promise. Brief Bioinform. 2016 Jan; 17(1): 13-22. doi: 10.1093/bib/bbv050 . Epub 2015 Jul 28

Schifferdecker, K. E., et al. (2016) Translation of an Action Learning Collaborative Model Into a Community-Based Intervention to Promote Physical Activity and Healthy Eating. Health Promot Pract. 2016 Jan; 17(1): 70-9. doi: 10.1177/1524839915601371 . Epub 2015 Aug 27

Ma, J., et al. (2016) Pilot randomised trial of a healthy eating behavioural intervention in uncontrolled asthma. Eur Respir J. 2016 Jan; 47(1): 122-32. doi: 10.1183/13993003.00591-2015 . Epub 2015 Oct 22

Kim, H., et al. (2016) Developing a Semantic Model to Describe Physical Activity Data. Stud Health Technol Inform. 2016 Jan; 225: 447-51.

Jernigan, T. L., et al. (2016) The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository. Neuroimage. 2016 Jan; 124(Pt B): 1149-54. doi: 10.1016/j.neuroimage.2015.04.057 . Epub 2015 May 1

Rice, M.L. & Tager-Flusberg, H (2016) Language Phenotypes. In V. Jagaroo and S.L. Santangelo (eds.) Neurophenotypes, Innovations in Cognitive Neuroscience, Springer. . 2016 Jan; doi: 10.1007/978-1-4614-3846-5_12

2015

Jiao, Y. et al. (2015) Application of Citizen Science Risk Communication Tools in a Vulnerable Urban Community. Int J Environ Res Public Health. 2015 Dec; 13(1): ijerph13010011. doi: 10.3390/ijerph13010011

Chandler, R. K., et al. (2015) Data Collection and Harmonization in HIV Research: The Seek, Test, Treat, and Retain Initiative at the National Institute on Drug Abuse. Am J Public Health. 2015 Dec; 105(12): 2416-22. doi: 10.2105/AJPH.2015.302788 . Epub 2015 Oct 15

Pattaro, C., et al. (2015) The Cooperative Health Research in South Tyrol (CHRIS) study: rationale, objectives, and preliminary results. J Transl Med. 2015 Nov; 13: 348. doi: 10.1186/s12967-015-0704-9

Carter, E. W., et al. (2015) Representation of Drug Use in Biomedical Standards, Clinical Text, and Research Measures. AMIA Annu Symp Proc. 2015 Nov; 2015: 376-85.

Gatz, M., et al. (2015) Data Harmonization in Aging Research: Not so Fast. Exp Aging Res. 2015 Nov; 41(5): 475-95. doi: 10.1080/0361073X.2015.1085748

Millner, A. J., et al. (2015) Single-Item Measurement of Suicidal Behaviors: Validity and Consequences of Misclassification. PLoS One. 2015 Oct; 10(10): e0141606. doi: 10.1371/journal.pone.0141606

Mensah, G. A., et al. (2015) From Data to Action: Neuroepidemiology Informs Implementation Research for Global Stroke Prevention and Treatment. Neuroepidemiology. 2015 Oct; 45(3): 221-9. doi: 10.1159/000441105 . Epub 2015 Oct 28

Niel, C., et al. (2015) A survey about methods dedicated to epistasis detection. Front Genet. 2015 Sep; 6: 285. doi: 10.3389/fgene.2015.00285

Zullig, K. J., et al. (2015) Preliminary development of a revised version of the School Climate Measure. Psychol Assess. 2015 Sep; 27(3): 1072-81. doi: 10.1037/pas0000070 . Epub 2015 Feb 2

Spruijt-Metz, D., et al. (2015) Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research. Transl Behav Med. 2015 Sep; 5(3): 335-46. doi: 10.1007/s13142-015-0324-1

Riley, W., et al. (2015) News from the NIH: potential contributions of the behavioral and social sciences to the precision medicine initiative. Transl Behav Med. 2015 Sep; 5(3): 243-6. doi: 10.1007/s13142-015-0320-5

Ortiz, A. P., et al. (2015) Methods in HPV Surveillance: Experiences from a Population-Based Study of HPV Infection among Women in the San Juan Metropolitan Area of Puerto Rico. P R Health Sci J. 2015 Sep; 34(3): 117-27.

Nichols, B. N., Pohl, K. M. (2015) Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community. Neuropsychol Rev. 2015 Sep; 25(3): 356-68. doi: 10.1007/s11065-015-9293-x . Epub 2015 Aug 13

Murray, D. M., et al. (2015) Enhancing Coordination Among the U.S. Preventive Services Task Force, Agency for Healthcare Research and Quality, and National Institutes of Health. Am J Prev Med. 2015 Sep; 49(3 Suppl 2): S166-73. doi: 10.1016/j.amepre.2015.04.024

O'Brien, S. E., et al. (2015) Differential Lipid Response to Statins Is Associated With Variants in the BUD13-APOA5 Gene Region. J Cardiovasc Pharmacol. 2015 Aug; 66(2): 183-8. doi: 10.1097/FJC.0000000000000261

Conrad, K.M., et al. (2015) Validation of the Full and Short-Form Self-Help Involvement Scale Against the Rasch Measurement Model. Eval Rev. 2015 Aug; 39(4): 395-427. doi: 10.1177/0193841X15599645 . Epub 2015 Aug 14

Pendergrass, S. A., et al. (2015) Phenome-Wide Association Studies: Embracing Complexity for Discovery. Hum Hered. 2015 Jul; 79(3-4): 111-23. doi: 10.1159/000381851 . Epub 2015 Jul 28

Hall, M.A., et al. (2015) Biology-Driven Gene-Gene Interaction Analysis of Age-Related Cataract in the eMERGE Network. Genet Epidemiol. 2015 Jul; 39(5): 376-84. doi: 10.1002/gepi.21902 . Epub 2015 May 17

Vinkhuyzen, A. A. E., Wray, N. R. (2015) Novel directions for G × E analysis in psychiatry. Epidemiol Psychiatr Sci. 2015 Feb; 24(1): 12-9. doi: 10.1017/S2045796014000584 . Epub 2014 Oct 8

Leslie, E. J. and M. L. Marazita. (2015) Developmental Anomalies - Clefts (Chapter 5). Genomics, Personalized Medicine and Oral Disease. 2015 Jan;

2014

Parks, C.G., Miller, F.W., Pollard, K.M., Selmi, C., Germolec, D., Joyce, K., Rose, N.R., Humble, M.C. (2014) Expert Panel Workshop Consensus Statement on the Role of the Environment in the Development of Autoimmune Disease. Int J Mol Sci. 2014 Aug; 15(8): 14269-97. doi: 10.3390/ijms150814269

Min, H., Ohira, R., Collins, M.A., Bondy, J., Avis, N.E., Tchuvatkina, O., Courtney, P.K., Moser, R.P., Shaikh, A.R., Hesse, B.W., Cooper, M., Reeves, D., Lanese, B., Helba, C., Miller, S.M., Ross, E.A. (2014) Sharing behavioral data through a grid infrastructure using data standards. J Am Med Inform Assoc. 2014 Jul; 21(4): 642-9. doi: 10.1136/amiajnl-2013-001763 . Epub 2013 Sep 27

Wong, C., Althoff, K., Gange, S.J. (2014) Identifying the appropriate comparison group for HIV-infected individuals. Curr Opin HIV AIDS. 2014 Jul; 9(4): 379-85. doi: 10.1097/COH.0000000000000063

Patel, C.J., Ioannidis, J.P.A. (2014) Studying the Elusive Environment in Large Scale. JAMA. 2014 Jun; 311(21): 2173-4. doi: 10.1001/jama.2014.4129

Shivade, C., Raghaven, P., Fosler-Lussier, E., Embi, P.J., Elhadad, N., Johnson, S.B., & Lai, A.M. (2014) A review of approaches to identifying patient phenotype cohorts using electronic health records. J Am Med Inform Assoc. 2014 Mar; 21(2): 221-30. doi: 10.1136/amiajnl-2013-001935 . Epub 2013 Nov 7

Zullig, K.J., Collins, R., Ghani, N., Patton, J.M., Huebner, E.S., Ajamie, J. (2014) Psychometric Support of the School Climate Measure in a Large, Diverse Sample of Adolescents: A Replication and Extension. J Sch Health. 2014 Feb; 84(2): 82-90. doi: 10.1111/josh.12124

Peter, I., Papandonatos, G.D., Belalcazar, M.L., Yang, Y., Erar, B., Jakicic, J.M., Unick, J.L., Balasubramanyan, A., Lipkin, E.W., Delahanty, L.M., Wagenknecht, L.E., Wing, R.R., Mccaffery, J.M., Huggins, G.S. (2014) Genetic Modifiers of Cardiorespiratory Fitness Response to Lifestyle Intervention. Med Sci Sports Exerc. 2014 Feb; 46(2): 302-11. doi: 10.1249/MSS.0b013e3182a66155

McCarty, C.A., Berg, R., Rottscheit, C.M., Waudby, C.J., Kitchner, T., Brilliant, M., Ritchie, M.D. (2014) Validation of PhenX measures in the personalized medicine research project for use in gene/environment studies. BMC Med Genomics. 2014 Jan; 7: 3. doi: 10.1186/1755-8794-7-3

Martin-Sanchez, F., Lopez-Campos, G., Gray, K. (2014) Data Sources for Personalized Medicine. Methods in biomedical informatics; a pragmatic approach. 2014 Jan;

2013

Dumitrescu, L., Carty, C.L., Franceschini, N., Hindorff, L.A., Cole, S.A., Buzkova, P., Schumacher F.R., Eaton, C.B., Goodloe, R.J., Duggan, D.J., Haessler, J., Cochran, B., Henderson, B.E., Cheng, I., Johnson, K.C., Carlson, C.S., Love, S.A., Brown-Gentry, K., Nato, A.Q., Quibrera, M., Shohet, R.V., Ambite, J.L., Wilkens, L.R., Le Marchand, L., Haiman, C.A., Buyske, S., Kooperberg, C., North, K.E., Fornage, M., Crowford, D.C. (2013) No evidence of interaction between known lipid-associated genetic variants and smoking in the multi-ethnic PAGE population. Hum Genet. 2013 Dec; 132(12): 1427-31. doi: 10.1007/s00439-013-1375-3 . Epub 2013 Oct 8

Richesson, R.L., Hammond, W.E., Nahm, M., Wixted, D., Simon, G.E., Robinson, J.G., Bauck, A.E., Cifelli, D., Smerek, M.M., Dickerson, J., Laws, R.L., Madigan, R.A., Rusincovitch, S.A., Kluchar, C., Calif, R.M. (2013) Electronic health records based phenotyping in next-generation clinical trials: a perspective from the NIH Health Care Systems Collaboratory. J Am Med Inform Assoc. 2013 Dec; 20(e2): e226-31. doi: 10.1136/amiajnl-2013-001926 . Epub 2013 Aug 16

Doiron, D. et al. (2013) Data harmonization and federated analysis of population-based studies: the BioSHaRE project. Emerg Themes Epidemiol. 2013 Nov; 10(1): 12. doi: 10.1186/1742-7622-10-12

Hutter, C.M., Mechanic, L.E., Chatterjee, N., Kraft, P., Gillanders, E.M. (2013) Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report. Genet Epidemiol. 2013 Nov; 37(3): 643-57. doi: 10.1002/gepi.21756 . Epub 2013 Oct 5

Spittel, M.L., Spotts, E.L., Deeds, B.G. (2013) Integration of behavioral, social science and genetics research: exploring public health significance. Am J Public Health. 2013 Oct; 103 Suppl 1: S5-7. doi: 10.2105/AJPH.2013.301539 . Epub 2013 Aug 8

McGue, M. (2013) Genomics and the Nature of Behavioral and Social Risk. Am J Public Health. 2013 Oct; 103 Suppl 1: S7-9. doi: 10.2105/AJPH.2013.301527 . Epub 2013 Aug 8

Sadasivam, R.S., Volz, E.M., Kinney, R.L., Rao, S.R., Houston, T.K. (2013) Share2Quit: Web-Based Peer-Driven Referrals for Smoking Cessation. JMIR Res Protoc. 2013 Sep; 2(2): e37. doi: 10.2196/resprot.2786

Craig, R.L., Gray, N.S., Snowden, R.J. (2013) Recalled Parental Bonding, Current Attachment, and the Triarchic Conceptualisation of Psychopathy. Personality and Individual Differences. 2013 Aug; 55(4): 345-350. doi: 10.1016/j.paid.2013.03.012

Glasgow, R.E., Riley, W.T. (2013) Pragmatic measures: what they are and why we need them. Am J Prev Med. 2013 Aug; 45(2): 237-43. doi: 10.1016/j.amepre.2013.03.010

Larsen, P.S., Kamper-Jorgensen, M., Adamson, A., Barros, H., Bonde, J.P., Brescianini, S., Brophy, S., Casas, M., Devereux, G., Eggesbo, M., Fantini, M.P., Frey, U., Gehring, U., Grazulevicience, R., Henriksen, T.B., Hertz-Piciiotto, I., Heude, B., Hryhorczuk, D.O., Inskip, H., Jaddoe, V.W., Lawlor, D.A., Ludvigsson, J., Kelleher, C., Kiess, W., Koletzko, B., Kuehni, C.E., Kull, I., Kyhl, H.B., Magnus, P., Mamos, I., Murray, D., Pekkanen, J., Polanska, K., Porta, D., Poulsen, G., Richiardi, L., Roeleveld, N., Skovgaard, A.M., Sram, R.J., Strandberg-Larsen, K., Thijs, C., Van Eijsden, M., Wrights, J., Vriheid, M., Andersen, A.M. (2013) Pregnancy and birth cohort resources in europe: a large opportunity for aetiological child health research. Paediatr Perinat Epidemiol. 2013 Jul; 27(4): 393-414. doi: 10.1111/ppe.12060

Winters, K.C. (2013) Advances in the science of adolescent drug involvement: implications for assessment and diagnosis - experience from the United States. Curr Opin Psychiatry. 2013 Jul; 26(4): 318-24. doi: 10.1097/YCO.0b013e328361e814

Tucker, K.L., Smith, C.E., Lai, C.Q., Ordovas, J.M. (2013) Quantifying diet for nutrigenomic studies. Annu Rev Nutr. 2013 Jul; 33: 349-71. doi: 10.1146/annurev-nutr-072610-145203 . Epub 2013 Apr 29

Strickland, C.M., Drislane, L.E., Lucy, M., Krueger, R.F., Patrick, C.J. (2013) Characterizing psychopathy using DSM-5 personality traits. Assessment. 2013 Jun; 20(3): 327-38. doi: 10.1177/1073191113486691 . Epub 2013 Apr 24

Zijlema, W.L., Stolk, R.P., Lowe, B., Rief, W., White, P.D., Rosmalen, J.G. (2013) How to assess common somatic symptoms in large-scale studies: a systematic review of questionnaires. J Psychosom Res. 2013 Jun; 74(6): 459-68. doi: 10.1016/j.jpsychores.2013.03.093 . Epub 2013 Apr 24

Newton, K.M., Peissig, P.L., Kho, A.N., Bielinski, S.J., Berg, R.L., Choudhary, V., Basford, M., Chute, C.G., Kullo, I.J., Li, R., Pacheco, J.A., Rasmussen, L.V., Spangler, L., Denny, J.C. (2013) Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network. J Am Med Inform Assoc. 2013 Jun; 20(e1): e147-54. doi: 10.1136/amiajnl-2012-000896 . Epub 2013 Mar 26

Riley, W.T., Glasgow, R.E., Etheredge, L., Abernethy, A.P. (2013) Rapid, responsive, relevant (R3) research: a call for a rapid learning health research enterprise. Clin Transl Med. 2013 May; 2(1): 10. doi: 10.1186/2001-1326-2-10

Patel, C.J., Chen, R., Kodama, K., Ioannidis, J.P., Butte, A.J. (2013) Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus. Hum Genet. 2013 May; 132(5): 495-508. doi: 10.1007/s00439-012-1258-z . Epub 2013 Jan 20

Morean, M.E., de Wit, H., King, A.C., Sofuoglu, M., Rueger, S.Y., O'Malley, S.S. (2013) The drug effects questionnaire: psychometric support across three drug types. Psychopharmacology (Berl). 2013 May; 227(1): 177-92. doi: 10.1007/s00213-012-2954-z . Epub 2012 Dec 28

McCusker, J.P., McGuinness, D.L., Lee, J., Thomas, C., Courtney, P., Tatalovich, Z., Contractor, N., Morgan, G., Shaikh, A. (2013) Towards Next Generation Health Data Exploration: A Data Cube-Based Investigation into Population Statistics for Tobacco. Proceedings of the Annual Hawaii International Conference on System Sciences. 2013 Mar; doi: 10.1109/HICSS.2013.567

Gizer, I.R., Gilder, D.A., Lau, P., Wang, T., Wilhelmsen, K.C., Elhlers, C.L. (2013) Contributions of ethnicity to differential item functioning of cannabis abuse and dependence symptoms. J Stud Alcohol Drugs. 2013 Mar; 74(2): 320-8.

Bracken, M.B., Baker, D., Cauley, J.A., Chambers, C., Culhane, J., Dabelea, D., Dearborn, D., Drews-Botsch, C.D., Dudley, D.J., Durkin, M., Entwisle B., Flick, L., Hale, D., Holl, J., Hovell, M., Hudak, M., Paneth, N., Specker, B., Wilhelm M., Wyatt, S. (2013) New models for large prospective studies: is there a risk of throwing out the baby with the bathwater?. Am J Epidemiol. 2013 Feb; 177(4): 285-9. doi: 10.1093/aje/kws408 . Epub 2013 Jan 7

Sellbom, M., Phillips, T.R. (2013) An examination of the triarchic conceptualization of psychopathy in incarcerated and nonincarcerated samples. J Abnorm Psychol. 2013 Feb; 122(1): 208-214. doi: 10.1037/a0029306 . Epub 2012 Aug 6

Stanley, J.H., Wygant, D.B., Sellbom, M. (2013) Elaborating on the construct validity of the Triarchic Psychopathy Measure in a criminal offender sample. J Pers Assess. 2013 Jan; 95(4): 343-50. doi: 10.1080/00223891.2012.735302 . Epub 2012 Oct 31

Baynam, G., Walters, M., Claes, P., Kung, S., LeSouef, P., Dawkins, H., Gillett, D., Goldblatt, J. (2013) The facial evolution: looking backward and moving forward. Hum Mutat. 2013 Jan; 34(1): 14-22. doi: 10.1002/humu.22219 . Epub 2012 Nov 2

2012

Kingma, E. M., Rosmalen, J. G. M. (2012) The power of longitudinal population-based studies for investigating the etiology of chronic widespread pain. Pain. 2012 Dec; 153(12): 2305-6. doi: 10.1016/j.pain.2012.09.001 . Epub 2012 Sep 23

Fedson, A. C., Pack, A. I., Gislason, T. (2012) Frequently used sleep questionnaires in epidemiological and genetic research for obstructive sleep apnea: a review. Sleep Med Rev. 2012 Dec; 16(6): 529-37. doi: 10.1016/j.smrv.2011.12.002

Vrieze, S.I, Iacono, W.G., McGue, M. (2012) Confluence of genes, environment, development, and behavior in a post Genome-Wide Association Study world. Dev Psychopathol. 2012 Nov; 24(4): 1195-214. doi: 10.1017/S0954579412000648

Richesson, R.L., Shereff, D., Andrews, J.E. (2012) Standardization of Questions in Rare Disease Registries: The PRISM Library Project. Interact J Med Res. 2012 Oct; 1(2): e10. doi: 10.2196/ijmr.2107

Ritchie, M. D. (2012) The success of pharmacogenomics in moving genetic association studies from bench to bedside: study design and implementation of precision medicine in the post-GWAS era. Hum Genet. 2012 Oct; 131(10): 1615-26. doi: 10.1007/s00439-012-1221-z . Epub 2012 Aug 25

Buck Louis, G.M., Sundaram, R. (2012) Exposome: time for transformative research. Stat Med. 2012 Sep; 31(22): 2569-75. doi: 10.1002/sim.5496

Marazita, M.L. (2012) The Evolution of Human Genetic Studies of Cleft Lip and Cleft Palate. Annu Rev Genomics Hum Genet. 2012 Sep; 13: 263-83. doi: 10.1146/annurev-genom-090711-163729 . Epub 2012 Jun 6

Cornelis, M.C., Hu, F.B. (2012) Gene-environment interactions in the development of type 2 diabetes: recent progress and continuing challenges. Annu Rev Nutr. 2012 Aug; 32: 245-59. doi: 10.1146/annurev-nutr-071811-150648 . Epub 2012 Apr 23

Agrawal, A., Verweij, K. J., Gillespie, N.A., et al. (2012) The genetics of addiction-a translational perspective. Transl Psychiatry. 2012 Jul; 2: e140. doi: 10.1038/tp.2012.54

Parnell, L.D. (2012) Advances in technologies and study design. Prog Mol Biol Transl Sci. 2012 Jul; 108: 17-50. doi: 10.1016/B978-0-12-398397-8.00002-2

Hancock, D. B., Scott, W. K. (2012) Population-based case-control association studies. Curr Protoc Hum Genet. 2012 Jul; Chapter 1: Unit 1.17. doi: 10.1002/0471142905.hg0117s74

Patel, C. J., Cullen, M. R., Ioannidis, J. P., Butte, A. J. (2012) Systematic evaluation of environmental factors: persistent pollutants and nutrients correlated with serum lipid levels. Int J Epidemiol. 2012 Jun; 41(3): 828-43. doi: 10.1093/ije/dys003 . Epub 2012 Mar 15

Manolio TA, Weis BK, Cowie CC, Hoover RN, et al. (2012) New models for large prospective studies: is there a better way?. Am J Epidemiol. 2012 May; 175(9): 859-66. doi: 10.1093/aje/kwr453 . Epub 2012 Mar 12

Beck, T., Gollapudi, S., Brunak, S., et al. (2012) Knowledge engineering for health: a new discipline required to bridge the "ICT gap" between research and healthcare. Hum Mutat. 2012 May; 33(5): 797-802. doi: 10.1002/humu.22066 . Epub 2012 Apr 4

Robinson, P. N. (2012) Deep phenotyping for precision medicine. Hum Mutat. 2012 May; 33(5): 777-80. doi: 10.1002/humu.22080

Balshaw D. M., Kwok, R. K. (2012) Innovative methods for improving measures of the personal environment. Am J Prev Med. 2012 May; 42(5): 558-9. doi: 10.1016/j.amepre.2012.02.002

Murtagh, M.J., Thorisson, G.A., Wallace, S.E., Kaye, J., Demir, I., Fortier, I., Harris, J.R., (...), Buron, P.R. (2012) Navigating the perfect [data] storm. Norsk Epidemiologi. 2012 Apr; 21(2): 203-209. doi: 10.5324/nje.v21i2.1495

Agrawal, A., Freedman, N. D., Yu-Ching, et al. (2012) Measuring alcohol consumption for genomic meta-analyses of alcohol intake: opportunities and challenges. Am J Clin Nutr. 2012 Mar; 95(3): 539-47. doi: 10.3945/ajcn.111.015545 . Epub 2012 Feb 1

Fortier, I., Doiron, D., Wolfson, C., et al. (2012) Canadian Institutes of Health Research-Institute of Aging: Profile Harmonizing Data for Collaborative Research on Aging: Why Should We Foster Such an Agenda?. Canadian Journal on Aging. 2012 Mar; 31(1): 95-99. doi: 10.1017/S0714980811000729 . Epub 2012 Feb 29

2011

Zuvich, R. L., Armstrong, L. L, Bielinski, S. J. (2011) Pitfalls of merging GWAS data: lessons learned in the eMERGE network and quality control procedures to maintain high data quality. Genet Epidemiol. 2011 Dec; 35(8): 887-98. doi: 10.1002/gepi.20639

Riley, W. T., Pilkonis, P., Cella, D. (2011) Application of the National Institutes of Health Patient-reported Outcome Measurement Information System (PROMIS) to mental health research. J Ment Health Policy Econ. 2011 Dec; 14(4): 201-8.

Turner, C. F., Pan, H., Silk, G. W., et al. (2011) The NIDDK Central Repository at 8 years--ambition, revision, use and impact. Database (Oxford). 2011 Sep; 2011: bar043. doi: 10.1093/database/bar043

Murtagh, M. J., Demir, I., Harris, J.R., Burton, P. R. (2011) Realizing the promise of population biobanks: a new model for translation. Hum Genet. 2011 Sep; 130(3): 333-45. doi: 10.1007/s00439-011-1036-3

Pathak, J., Wang, J., Kashyap, S., Basford, M., et al. (2011) Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience. J Am Med Inform Assoc. 2011 Jul; 18(4): 376-86. doi: 10.1136/amiajnl-2010-000061

Richesson, R. L., Nadkarni, P. (2011) Data standards for clinical research data collection forms: current status and challenges. J Am Med Inform Assoc. 2011 May; 18(3): 341-6. doi: 10.1136/amiajnl-2011-000107

Bookman, E. B., McAllister, K., Gillanders, E., et al. (2011) Gene-Environment Interplay in Common Complex Diseases: Forging an Integrative Model-Recommendations from an NIH Workshop. Genet Epidemiol. 2011 May; 35(4): 217-25. doi: 10.1002/gepi.20571

Moser, R. P., Hesse, B. W., Shaikh, A. R., et al. (2011) Grid-enabled measures: using Science 2.0 to standardize measures and share data. Am J Prev Med. 2011 May; 40(5 Suppl 2): S134-43. doi: 10.1016/j.amepre.2011.01.004

Hesse, B. W., Croyle, R. T., Buetow, K. H. (2011) Cyberinfrastructure and the biomedical sciences. Am J Prev Med. 2011 May; 40(5 Suppl 2): S97-102. doi: 10.1016/j.amepre.2011.01.006

Shaikh, A. R., Prabhu Das, I., Vinson, C. A., Spring, B. (2011) Cyberinfrastructure for consumer health. Am J Prev Med. 2011 May; 40((5 Suppl 2): S91-6. doi: 10.1016/j.amepre.2011.02.012

Chowdhury, F.N., Joyce, K. (2011) Pushing the boundaries of transdisciplinary science through cyber-enabled research. Am J Prev Med. 2011 May; 40(5 Suppl 2): S103-7. doi: 10.1016/j.amepre.2011.01.007

Viswanath, K. (2011) Cyberinfrastructure: an extraordinary opportunity to bridge health and communication inequalities?. Am J Prev Med. 2011 May; 40(5 Suppl 2): S245-8. doi: 10.1016/j.amepre.2011.02.005

Bennett, S.N., Caporaso, N., Fitzpatrick, A.L., Agrawal, A., Barnes, K., Boyd, H.A., Cornelis, M.C., Hansel, N.N, Heiss, G., Heit, J.A., Kang, J.H., Kittner, S.J., Kraft, P., Lowe, W., Marazita, M., Monroe, K.R., Pasquale, L.R., Ramos, E.R., van Dam, R.M., Udren, J., and Williams, K., for the GENEVA Consortium (2011) Phenotype harmonization and cross-study collaboration in GWAS consortia: the GENEVA experience. Genet Epidemiol. 2011 Apr; 35(3): 159-173. doi: 10.1002/gepi.20564 . Epub 2011 Jan 31

Green, E. D., Guyer, M. S. (2011) Charting a course for genomic medicine from base pairs to bedside. Nature. 2011 Feb; 470(7333): 204-13. doi: 10.1038/nature09764

2010

Fortier, I., Burton, P. R., Robson, P. J., et al. (2010) Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies. Int J Epidemiol. 2010 Oct; 39(5): 1383-93. doi: 10.1093/ije/dyq139

Baye, T.M., Martin, L.J., Khurana Hershey, G.K. (2010) Application of genetic/genomic approaches to allergic disorders. J Allergy Clin Immunol. 2010 Sep; 126(3): 425-36; quiz 437-8. doi: 10.1016/j.jaci.2010.05.025