The detection of gene–environment interaction for continuous traits: should we deal with measurement error by bigger studies or better measurement? | Zendy

Michael Wong | Zendy; Nicholas Day | Zendy; Jian’an Luan | Zendy; Karen Chan | Zendy; N J Wareham | Zendy

Open Access

The detection of gene–environment interaction for continuous traits: should we deal with measurement error by bigger studies or better measurement?

Author(s) -

Michael Wong,

Nicholas Day,

Jian’an Luan,

Karen Chan,

N J Wareham

Publication year - 2003

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyg002

Subject(s) - minor allele frequency , sample size determination , statistics , observational error , standard deviation , outcome (game theory) , allele frequency , standard error , interaction , type i and type ii errors , allele , mathematics , econometrics , genetics , biology , mathematical economics , gene

The search for biologically relevant gene-environment interactions has been facilitated by technological advances in genotyping. The design of studies to detect interactions on continuous traits such as blood pressure and insulin sensitivity is attracting increasing attention. We have previously described power calculations for such studies, and this paper describes the extension of those calculations to take account of measurement error.

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