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Items: 1 to 20 of 82

1.

Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons.

Mukherjee B, Ahn J, Gruber SB, Chatterjee N.

Am J Epidemiol. 2012 Feb 1;175(3):177-90. doi: 10.1093/aje/kwr367. Epub 2011 Dec 22.

2.

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.

4.

Empirical hierarchical bayes approach to gene-environment interactions: development and application to genome-wide association studies of lung cancer in TRICL.

Sohns M, Viktorova E, Amos CI, Brennan P, Fehringer G, Gaborieau V, Han Y, Heinrich J, Chang-Claude J, Hung RJ, Müller-Nurasyid M, Risch A, Thomas D, Bickeböller H.

Genet Epidemiol. 2013 Sep;37(6):551-559. doi: 10.1002/gepi.21741. Epub 2013 Jul 26.

5.

Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence.

Liu G, Lee S, Lee AW, Wu AH, Bandera EV, Jensen A, Anne Rossing M, Moysich KB, Chang-Claude J, Doherty J, Gentry-Maharaj A, Kiemeney L, Gayther SA, Modugno F, Massuger L, Goode EL, Fridley B, Terry KL, Cramer DW, Ramus SJ, Anton-Culver H, Ziogas A, Tyrer JP, Schildkraut JM, Kjaer SK, Webb PM, Ness RB, Menon U, Berchuck A, Pharoah PD, Risch H, Leigh Pearce C, Mukherjee B.

Am J Epidemiol. 2017 Jun 14. doi: 10.1093/aje/kwx243. [Epub ahead of print]

PMID:
28633381
6.

Invited commentary: efficient testing of gene-environment interaction.

Chatterjee N, Wacholder S.

Am J Epidemiol. 2009 Jan 15;169(2):231-3; discussion 234-5. doi: 10.1093/aje/kwn352. Epub 2008 Nov 20.

7.

Empirical Bayes screening of many p-values with applications to microarray studies.

Datta S, Datta S.

Bioinformatics. 2005 May 1;21(9):1987-94. Epub 2005 Feb 2.

PMID:
15691856
8.

Comparisons of power of statistical methods for gene-environment interaction analyses.

Ege MJ, Strachan DP.

Eur J Epidemiol. 2013 Oct;28(10):785-97. doi: 10.1007/s10654-013-9837-4. Epub 2013 Sep 5.

PMID:
24005774
9.

The impact of exposure-biased sampling designs on detection of gene-environment interactions in case-control studies with potential exposure misclassification.

Stenzel SL, Ahn J, Boonstra PS, Gruber SB, Mukherjee B.

Eur J Epidemiol. 2015 May;30(5):413-23. doi: 10.1007/s10654-014-9908-1. Epub 2014 Jun 4.

10.

Likelihood ratio test for detecting gene (G)-environment (E) interactions under an additive risk model exploiting G-E independence for case-control data.

Han SS, Rosenberg PS, Garcia-Closas M, Figueroa JD, Silverman D, Chanock SJ, Rothman N, Chatterjee N.

Am J Epidemiol. 2012 Dec 1;176(11):1060-7. doi: 10.1093/aje/kws166. Epub 2012 Nov 1.

11.

Testing for Sufficient-Cause Gene-Environment Interactions Under the Assumptions of Independence and Hardy-Weinberg Equilibrium.

Lee WC.

Am J Epidemiol. 2015 Jul 1;182(1):9-16. doi: 10.1093/aje/kwv030. Epub 2015 May 29.

PMID:
26025233
12.

Detecting gene-environment interactions using a combined case-only and case-control approach.

Li D, Conti DV.

Am J Epidemiol. 2009 Feb 15;169(4):497-504. doi: 10.1093/aje/kwn339. Epub 2008 Dec 13.

13.

Gene-environment interactions in genome-wide association studies: a comparative study of tests applied to empirical studies of type 2 diabetes.

Cornelis MC, Tchetgen EJ, Liang L, Qi L, Chatterjee N, Hu FB, Kraft P.

Am J Epidemiol. 2012 Feb 1;175(3):191-202. doi: 10.1093/aje/kwr368. Epub 2011 Dec 22.

14.

Environmental confounding in gene-environment interaction studies.

Vanderweele TJ, Ko YA, Mukherjee B.

Am J Epidemiol. 2013 Jul 1;178(1):144-52. doi: 10.1093/aje/kws439. Epub 2013 May 21.

15.

Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification.

Boonstra PS, Mukherjee B, Gruber SB, Ahn J, Schmit SL, Chatterjee N.

Am J Epidemiol. 2016 Feb 1;183(3):237-47. doi: 10.1093/aje/kwv198. Epub 2016 Jan 10.

16.

Methodological and conceptual issues regarding occupational psychosocial coronary heart disease epidemiology.

Burr H, Formazin M, Pohrt A.

Scand J Work Environ Health. 2016 May 1;42(3):251-5. doi: 10.5271/sjweh.3557. Epub 2016 Mar 9.

PMID:
26960179
17.

A latent variable approach to study gene-environment interactions in the presence of multiple correlated exposures.

Sánchez BN, Kang S, Mukherjee B.

Biometrics. 2012 Jun;68(2):466-76. doi: 10.1111/j.1541-0420.2011.01677.x. Epub 2011 Sep 28.

18.

Simultaneously testing for marginal genetic association and gene-environment interaction.

Dai JY, Logsdon BA, Huang Y, Hsu L, Reiner AP, Prentice RL, Kooperberg C.

Am J Epidemiol. 2012 Jul 15;176(2):164-73. doi: 10.1093/aje/kwr521. Epub 2012 Jul 6.

19.

Semiparametric Bayesian analysis of case-control data under conditional gene-environment independence.

Mukherjee B, Zhang L, Ghosh M, Sinha S.

Biometrics. 2007 Sep;63(3):834-44. Epub 2007 May 8.

20.

A general framework for two-stage analysis of genome-wide association studies and its application to case-control studies.

Wason JM, Dudbridge F.

Am J Hum Genet. 2012 May 4;90(5):760-73. doi: 10.1016/j.ajhg.2012.03.007.

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