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Testing gene-environment interactions in family-based association studies using trait-based ascertained samples.
Zhang, Weiming; Langefeld, Carl D; Grunwald, Gary K; Fingerlin, Tasha E.
Afiliação
  • Zhang W; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, U.S.A.
Stat Med ; 33(2): 304-18, 2014 Jan 30.
Article em En | MEDLINE | ID: mdl-23922213
The study of gene-environment interactions is an increasingly important aspect of genetic epidemiological investigation. Historically, it has been difficult to study gene-environment interactions using a family-based design for quantitative traits or when parent-offspring trios were incomplete. The QBAT-I provides researchers a tool to estimate and test for a gene-environment interaction in families of arbitrary structure that are sampled without regard to the phenotype of interest, but is vulnerable to inflated type I error if families are ascertained on the basis of the phenotype. In this study, we verified the potential for type I error of the QBAT-I when applied to samples ascertained on a trait of interest. The magnitude of the inflation increases as the main genetic effect increases and as the ascertainment becomes more extreme. We propose an ascertainment-corrected score test that allows the use of the QBAT-I to test for gene-environment interactions in ascertained samples. Our results indicate that the score test and an ad hoc method we propose can often restore the nominal type I error rate, and in cases where complete restoration is not possible, dramatically reduce the inflation of the type I error rate in ascertained samples.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interpretação Estatística de Dados / Característica Quantitativa Herdável / Interação Gene-Ambiente / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interpretação Estatística de Dados / Característica Quantitativa Herdável / Interação Gene-Ambiente / Modelos Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article