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Detecting gene-environment interactions in human birth defects: Study designs and statistical methods.
Tai, Caroline G; Graff, Rebecca E; Liu, Jinghua; Passarelli, Michael N; Mefford, Joel A; Shaw, Gary M; Hoffmann, Thomas J; Witte, John S.
Afiliação
  • Tai CG; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
  • Graff RE; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
  • Liu J; Institute for Human Genetics, University of California San Francisco, San Francisco, California.
  • Passarelli MN; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
  • Mefford JA; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California.
  • Shaw GM; Department of Pediatrics, Stanford University School of Medicine, Stanford, California.
  • Hoffmann TJ; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
  • Witte JS; Institute for Human Genetics, University of California San Francisco, San Francisco, California.
Birth Defects Res A Clin Mol Teratol ; 103(8): 692-702, 2015 Aug.
Article em En | MEDLINE | ID: mdl-26010994
BACKGROUND: The National Birth Defects Prevention Study (NBDPS) contains a wealth of information on affected and unaffected family triads, and thus provides numerous opportunities to study gene-environment interactions (G×E) in the etiology of birth defect outcomes. Depending on the research objective, several analytic options exist to estimate G×E effects that use varying combinations of individuals drawn from available triads. METHODS: In this study, we discuss important considerations in the collection of genetic data and environmental exposures. RESULTS: We will also present several population- and family-based approaches that can be applied to data from the NBDPS including case-control, case-only, family-based trio, and maternal versus fetal effects. For each, we describe the data requirements, applicable statistical methods, advantages, and disadvantages. CONCLUSION: A range of approaches can be used to evaluate potentially important G×E effects in the NBDPS. Investigators should be aware of the limitations inherent to each approach when choosing a study design and interpreting results.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Anormalidades Congênitas / Modelos Estatísticos / Predisposição Genética para Doença / Interação Gene-Ambiente Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Anormalidades Congênitas / Modelos Estatísticos / Predisposição Genética para Doença / Interação Gene-Ambiente Idioma: En Ano de publicação: 2015 Tipo de documento: Article