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
  • [31] Ethical, Legal, and Social Implications of Gene-Environment Interaction Research
    Calluori, Stephanie
    Heimke, Kaitlin Kirkpatrick
    Caga-anan, Charlisse
    Kaufman, David
    Mechanic, Leah E.
    Mcallister, Kimberly A.
    GENETIC EPIDEMIOLOGY, 2025, 49 (01)
  • [32] Exposure Enriched Case-Control (EECC) Design for the Assessment of Gene-Environment Interaction
    Huque, Md Hamidul
    Carroll, Raymond J.
    Diao, Nancy
    Christiani, David C.
    Ryan, Louise M.
    GENETIC EPIDEMIOLOGY, 2016, 40 (07) : 570 - 578
  • [33] Using shared genetic controls in studies of gene-environment interactions
    Chen, Yi-Hau
    Chatterjee, Nilanjan
    Carroll, Raymond J.
    BIOMETRIKA, 2013, 100 (02) : 319 - 338
  • [34] Gene-environment interaction in allergic disease: More questions, more answers?
    Koppelman, Gerard H.
    JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2007, 120 (06) : 1266 - 1268
  • [35] Robust gene-environment interaction analysis using penalized trimmed regression
    Xu, Yaqing
    Wu, Mengyun
    Ma, Shuangge
    Ahmed, Syed Ejaz
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2018, 88 (18) : 3502 - 3528
  • [36] Gene polymorphisms related to insulin resistance and gene-environment interaction in colorectal cancer risk
    Hu, Xiaoqin
    Feng, Fei
    Li, Xiaoling
    Yuan, Ping
    Luan, Rongsheng
    Yan, Jin
    Liu, Wenhui
    Yang, Yanfang
    ANNALS OF HUMAN BIOLOGY, 2015, 42 (06) : 560 - 568
  • [37] Classification and Clustering Methods for Multiple Environmental Factors in Gene-Environment Interaction Application to the Multi-Ethnic Study of Atherosclerosis
    Ko, Yi-An
    Mukherjee, Bhramar
    Smith, Jennifer A.
    Kardia, Sharon L. R.
    Allison, Matthew
    Roux, Ana V. Diez
    EPIDEMIOLOGY, 2016, 27 (06) : 870 - 878
  • [38] Bias in the case-only design applied to studies of gene-environment and gene-gene interaction: a systematic review and meta-analysis
    Dennis, Jessica
    Hawken, Steven
    Krewski, Daniel
    Birkett, Nick
    Gheorghe, Mihaela
    Frei, Julia
    McKeown-Eyssen, Gail
    Little, Julian
    INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2011, 40 (05) : 1329 - 1341
  • [39] Flexible matching in case-control studies of gene-environment interactions
    Saunders, CL
    Barrett, JH
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2004, 159 (01) : 17 - 22
  • [40] Sample Size Requirements to Detect Gene-Environment Interactions in Genome-Wide Association Studies
    Murcray, Cassandra E.
    Lewinger, Juan Pablo
    Conti, David V.
    Thomas, Duncan C.
    Gauderman, W. James
    GENETIC EPIDEMIOLOGY, 2011, 35 (03) : 201 - 210