Environmental Confounding in Gene-Environment Interaction Studies

被引:35
|
作者
VanderWeele, Tyler J. [1 ,2 ]
Ko, Yi-An [3 ]
Mukherjee, Bhramar [3 ]
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[2] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[3] Univ Michigan, Sch Publ Hlth, Dept Biostat, Ann Arbor, MI 48109 USA
基金
美国国家卫生研究院;
关键词
case-control; case-only; confounding; gene-environment; interaction; joint tests; marginal genetic association; LUNG-CANCER; POPULATION STRATIFICATION; SUSCEPTIBILITY LOCUS; WIDE ASSOCIATION; DESIGN; TESTS;
D O I
10.1093/aje/kws439
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
We show that, in the presence of uncontrolled environmental confounding, joint tests for the presence of a main genetic effect and gene-environment interaction will be biased if the genetic and environmental factors are correlated, even if there is no effect of either the genetic factor or the environmental factor on the disease. When environmental confounding is ignored, such tests will in fact reject the joint null of no genetic effect with a probability that tends to 1 as the sample size increases. This problem with the joint test vanishes under gene-environment independence, but it still persists if estimating the gene-environment interaction parameter itself is of interest. Uncontrolled environmental confounding will bias estimates of gene-environment interaction parameters even under gene-environment independence, but it will not do so if the unmeasured confounding variable itself does not interact with the genetic factor. Under gene-environment independence, if the interaction parameter without controlling for the environmental confounder is nonzero, then there is gene-environment interaction either between the genetic factor and the environmental factor of interest or between the genetic factor and the unmeasured environmental confounder. We evaluate several recently proposed joint tests in a simulation study and discuss the implications of these results for the conduct of gene-environment interaction studies.
引用
收藏
页码:144 / 152
页数:9
相关论文
共 50 条
  • [41] Gene-environment interactions and obesity - Further aspects of genomewide association studies
    Andreasen, Camilla H.
    Andersen, Gitte
    NUTRITION, 2009, 25 (10) : 998 - 1003
  • [42] A Robust Test for Additive Gene-Environment Interaction Under the Trend Effect of Genotype Using an Empirical Bayes-Type Shrinkage Estimator
    Sanyal, Nilotpal
    Napolioni, Valerio
    de Rochemonteix, Matthieu
    Belloy, Michael E.
    Caporaso, Neil E.
    Landi, Maria Teresa
    Greicius, Michael D.
    Chatterjee, Nilanjan
    Han, Summer S.
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2021, 190 (09) : 1948 - 1960
  • [43] The role of gene-environment interactions in the development of food allergy
    Neeland, Melanie R.
    Martino, David J.
    Allen, Katrina J.
    EXPERT REVIEW OF GASTROENTEROLOGY & HEPATOLOGY, 2015, 9 (11) : 1371 - 1378
  • [44] Gene-environment interaction in chronic disease: A European Science Foundation Forward Look
    Renz, Harald
    Autenrieth, Ingo B.
    Brandtzaeg, Per
    Cookson, William O.
    Holgate, Stephen
    von Mutius, Erika
    Valenta, Rudolf
    Haller, Dirk
    JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2011, 128 (06) : S27 - S49
  • [45] Testing for Gene-Environment and Gene-Gene Interactions Under Monotonicity Constraints
    Han, Summer S.
    Rosenberg, Philip S.
    Chatterjee, Nilanjan
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2012, 107 (500) : 1441 - 1452
  • [46] Evidence for Gene-Environment Interaction in a Genome Wide Study of Nonsyndromic Cleft Palate
    Beaty, Terri H.
    Ruczinski, Ingo
    Murray, Jeffrey C.
    Marazita, Mary L.
    Munger, Ronald G.
    Hetmanski, Jacqueline B.
    Murray, Tanda
    Redett, Richard J.
    Fallin, M. Daniele
    Liang, Kung Yee
    Wu, Tao
    Patel, Poorav J.
    Jin, Sheng-Chih
    Zhang, Tian Xiao
    Schwender, Holger
    Wu-Chou, Yah Huei
    Chen, Philip K.
    Chong, Samuel S.
    Cheah, Felicia
    Yeow, Vincent
    Ye, Xiaoqian
    Wang, Hong
    Huang, Shangzhi
    Jabs, Ethylin W.
    Shi, Bing
    Wilcox, Allen J.
    Lie, Rolv T.
    Jee, Sun Ha
    Christensen, Kaare
    Doheny, Kimberley F.
    Pugh, Elizabeth W.
    Ling, Hua
    Scott, Alan F.
    GENETIC EPIDEMIOLOGY, 2011, 35 (06) : 469 - 478
  • [47] Review of the Gene-Environment Interaction Literature in Cancer: What Do We Know?
    Simonds, Naoko I.
    Ghazarian, Armen A.
    Pimentel, Camilla B.
    Schully, Sheri D.
    Ellison, Gary L.
    Gillanders, Elizabeth M.
    Mechanic, Leah E.
    GENETIC EPIDEMIOLOGY, 2016, 40 (05) : 356 - 365
  • [48] Gene-environment Interaction in Spherical Equivalent and Myopia: An Evidence-based Review
    Zhang, Xiyan
    Fan, Qiao
    Zhang, Fengyun
    Liang, Gang
    Pan, Chen-Wei
    OPHTHALMIC EPIDEMIOLOGY, 2022, 29 (04) : 435 - 442
  • [49] Powerful Cocktail Methods for Detecting Genome-Wide Gene-Environment Interaction
    Hsu, Li
    Jiao, Shuo
    Dai, James Y.
    Hutter, Carolyn
    Peters, Ulrike
    Kooperberg, Charles
    GENETIC EPIDEMIOLOGY, 2012, 36 (03) : 183 - 194
  • [50] Potential misinterpretation of the case-only study to assess gene-environment interaction
    Schmidt, S
    Schaid, DJ
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 1999, 150 (08) : 878 - 885