Semiparametric analysis of complex polygenic gene-environment interactions in case-control studies.

Stalder, Odile; Asher, Alex; Liang, Liang; Carroll, Raymond J; Ma, Yanyuan; Chatterjee, Nilanjan (2017). Semiparametric analysis of complex polygenic gene-environment interactions in case-control studies. Biometrika, 104(4), pp. 801-812. Oxford University Press 10.1093/biomet/asx045

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Many methods have recently been proposed for efficient analysis of case-control studies of gene-environment interactions using a retrospective likelihood framework that exploits the natural assumption of gene-environment independence in the underlying population. However, for polygenic modelling of gene-environment interactions, which is a topic of increasing scientific interest, applications of retrospective methods have been limited due to a requirement in the literature for parametric modelling of the distribution of the genetic factors. We propose a general, computationally simple, semiparametric method for analysis of case-control studies that allows exploitation of the assumption of gene-environment independence without any further parametric modelling assumptions about the marginal distributions of any of the two sets of factors. The method relies on the key observation that an underlying efficient profile likelihood depends on the distribution of genetic factors only through certain expectation terms that can be evaluated empirically. We develop asymptotic inferential theory for the estimator and evaluate its numerical performance via simulation studies. An application of the method is presented.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > CTU Bern

UniBE Contributor:

Stalder, Odile

ISSN:

0006-3444

Publisher:

Oxford University Press

Language:

English

Submitter:

Tanya Karrer

Date Deposited:

09 Mar 2018 14:48

Last Modified:

24 Oct 2019 09:27

Publisher DOI:

10.1093/biomet/asx045

PubMed ID:

29430038

Uncontrolled Keywords:

Case-control study Gene-environment interaction Genetic epidemiology Pseudolikelihood Retrospective study Semiparametric method

BORIS DOI:

10.7892/boris.112606

URI:

https://boris.unibe.ch/id/eprint/112606

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