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Items: 1 to 20 of 131

1.

Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report.

Hutter CM, Mechanic LE, Chatterjee N, Kraft P, Gillanders EM; NCI Gene-Environment Think Tank.

Genet Epidemiol. 2013 Nov;37(7):643-57. doi: 10.1002/gepi.21756. Epub 2013 Oct 5.

2.

Review of the Gene-Environment Interaction Literature in Cancer: What Do We Know?

Simonds NI, Ghazarian AA, Pimentel CB, Schully SD, Ellison GL, Gillanders EM, Mechanic LE.

Genet Epidemiol. 2016 Jul;40(5):356-65. doi: 10.1002/gepi.21967. Epub 2016 Apr 7. Review.

3.

Next generation analytic tools for large scale genetic epidemiology studies of complex diseases.

Mechanic LE, Chen HS, Amos CI, Chatterjee N, Cox NJ, Divi RL, Fan R, Harris EL, Jacobs K, Kraft P, Leal SM, McAllister K, Moore JH, Paltoo DN, Province MA, Ramos EM, Ritchie MD, Roeder K, Schaid DJ, Stephens M, Thomas DC, Weinberg CR, Witte JS, Zhang S, Zöllner S, Feuer EJ, Gillanders EM.

Genet Epidemiol. 2012 Jan;36(1):22-35. doi: 10.1002/gepi.20652. Epub 2011 Dec 6.

4.

A review of NCI's extramural grant portfolio: identifying opportunities for future research in genes and environment in cancer.

Ghazarian AA, Simonds NI, Bennett K, Pimentel CB, Ellison GL, Gillanders EM, Schully SD, Mechanic LE.

Cancer Epidemiol Biomarkers Prev. 2013 Apr;22(4):501-7. doi: 10.1158/1055-9965.EPI-13-0156. Epub 2013 Mar 5. Review.

5.

Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.

McAllister K, Mechanic LE, Amos C, Aschard H, Blair IA, Chatterjee N, Conti D, Gauderman WJ, Hsu L, Hutter CM, Jankowska MM, Kerr J, Kraft P, Montgomery SB, Mukherjee B, Papanicolaou GJ, Patel CJ, Ritchie MD, Ritz BR, Thomas DC, Wei P, Witte JS.

Am J Epidemiol. 2017 Oct 1;186(7):753-761. doi: 10.1093/aje/kwx227.

PMID:
28978193
6.

Gene-environment interactions in genome-wide association studies: current approaches and new directions.

Winham SJ, Biernacka JM.

J Child Psychol Psychiatry. 2013 Oct;54(10):1120-34. doi: 10.1111/jcpp.12114. Epub 2013 Jun 28. Review.

7.

Functional logistic regression approach to detecting gene by longitudinal environmental exposure interaction in a case-control study.

Wei P, Tang H, Li D.

Genet Epidemiol. 2014 Nov;38(7):638-51. doi: 10.1002/gepi.21852. Epub 2014 Sep 12.

8.
9.

Efficient genome-wide association testing of gene-environment interaction in case-parent trios.

Gauderman WJ, Thomas DC, Murcray CE, Conti D, Li D, Lewinger JP.

Am J Epidemiol. 2010 Jul 1;172(1):116-22. doi: 10.1093/aje/kwq097. Epub 2010 Jun 11.

10.

Generalized estimating equations for genome-wide association studies using longitudinal phenotype data.

Sitlani CM, Rice KM, Lumley T, McKnight B, Cupples LA, Avery CL, Noordam R, Stricker BH, Whitsel EA, Psaty BM.

Stat Med. 2015 Jan 15;34(1):118-30. doi: 10.1002/sim.6323. Epub 2014 Oct 9.

11.

Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus.

Patel CJ, Chen R, Kodama K, Ioannidis JP, Butte AJ.

Hum Genet. 2013 May;132(5):495-508. doi: 10.1007/s00439-012-1258-z. Epub 2013 Jan 20.

12.

Complete effect-profile assessment in association studies with multiple genetic and multiple environmental factors.

Wang Z, Maity A, Luo Y, Neely ML, Tzeng JY.

Genet Epidemiol. 2015 Feb;39(2):122-33. doi: 10.1002/gepi.21877. Epub 2014 Dec 23.

13.

Gene-environment interactions in the study of asthma in the postgenomewide association studies era.

Rava M, Smit LA, Nadif R.

Curr Opin Allergy Clin Immunol. 2015 Feb;15(1):70-8. doi: 10.1097/ACI.0000000000000131. Review.

PMID:
25479314
14.

Deciphering Genome Environment Wide Interactions Using Exposed Subjects Only.

Zhao LP, Fan W, Goodman G, Radich J, Martin P.

Genet Epidemiol. 2015 Jul;39(5):334-46. doi: 10.1002/gepi.21890. Epub 2015 Feb 18.

15.

The current state of play on the molecular genetics of depression.

Cohen-Woods S, Craig IW, McGuffin P.

Psychol Med. 2013 Apr;43(4):673-87. doi: 10.1017/S0033291712001286. Epub 2012 Jun 12. Review.

PMID:
22687339
17.

Beyond genome-wide association studies: genetic heterogeneity and individual predisposition to cancer.

Galvan A, Ioannidis JP, Dragani TA.

Trends Genet. 2010 Mar;26(3):132-41. doi: 10.1016/j.tig.2009.12.008. Epub 2010 Jan 26. Review.

18.

Update on the State of the Science for Analytical Methods for Gene-Environment Interactions.

Gauderman WJ, Mukherjee B, Aschard H, Hsu L, Lewinger JP, Patel CJ, Witte JS, Amos C, Tai CG, Conti D, Torgerson DG, Lee S, Chatterjee N.

Am J Epidemiol. 2017 Oct 1;186(7):762-770. doi: 10.1093/aje/kwx228.

PMID:
28978192
19.

Finding novel genes by testing G × E interactions in a genome-wide association study.

Gauderman WJ, Zhang P, Morrison JL, Lewinger JP.

Genet Epidemiol. 2013 Sep;37(6):603-13. doi: 10.1002/gepi.21748. Epub 2013 Jul 19.

20.

Tests for gene-environment interaction from case-control data: a novel study of type I error, power and designs.

Mukherjee B, Ahn J, Gruber SB, Rennert G, Moreno V, Chatterjee N.

Genet Epidemiol. 2008 Nov;32(7):615-26. doi: 10.1002/gepi.20337.

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