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Editorial
. 2011 Aug 17;103(16):1209-10.
doi: 10.1093/jnci/djr279. Epub 2011 Jul 26.

Empirical evaluation of gene and environment interactions: methods and potential

Ross L Prentice
Editorial

Empirical evaluation of gene and environment interactions: methods and potential

Ross L Prentice. J Natl Cancer Inst. .
No abstract available

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Comment on

  • Interactions between genetic variants and breast cancer risk factors in the breast and prostate cancer cohort consortium.
    Campa D, Kaaks R, Le Marchand L, Haiman CA, Travis RC, Berg CD, Buring JE, Chanock SJ, Diver WR, Dostal L, Fournier A, Hankinson SE, Henderson BE, Hoover RN, Isaacs C, Johansson M, Kolonel LN, Kraft P, Lee IM, McCarty CA, Overvad K, Panico S, Peeters PH, Riboli E, Sanchez MJ, Schumacher FR, Skeie G, Stram DO, Thun MJ, Trichopoulos D, Zhang S, Ziegler RG, Hunter DJ, Lindström S, Canzian F. Campa D, et al. J Natl Cancer Inst. 2011 Aug 17;103(16):1252-63. doi: 10.1093/jnci/djr265. Epub 2011 Jul 26. J Natl Cancer Inst. 2011. PMID: 21791674 Free PMC article.

References

    1. Campa D, Kaaks R, LeMarchand L, et al. Interaction between genetic variants and breast cancer risk factors in the breast and prostate cancer cohort consortium. J Natl Cancer Inst. 2011;103(16):1252–1263. - PMC - PubMed
    1. Travis RC, Reeves GK, Green J, et al. Gene-environment interactions in 7610 women with breast cancer: prospective evidence from the Million Women Study. Lancet. 2010;375(9732):2143–2151. - PMC - PubMed
    1. Manolio TA, Collins FS, Cox NJ, et al. Finding the missing heritability of complex diseases. Nature. 2009;461(7265):747–753. - PMC - PubMed
    1. Zhong H, Prentice RL. Bias-reduced estimators and confidence intervals for odds ratios in genome-wide association studies. Biostatistics. 2008;9(4):621–634. - PMC - PubMed
    1. Zhong H, Prentice RL. Correcting ‘winner’s curse’ in odds ratios from genomewide association findings for major complex human diseases. Genet Epidemiol. 2010;34(1):78–91. - PMC - PubMed