Caroline G Tai1, Rebecca E Graff1, Jinghua Liu2, Michael N Passarelli1, Joel A Mefford3, Gary M Shaw4, Thomas J Hoffmann1,2, John S Witte1,2,5,6. 1. Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California. 2. Institute for Human Genetics, University of California San Francisco, San Francisco, California. 3. Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California. 4. Department of Pediatrics, Stanford University School of Medicine, Stanford, California. 5. Department of Urology, University of California San Francisco, San Francisco, California. 6. UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California.
Abstract
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.
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.
Authors: Stijn Vansteelandt; Dawn L Demeo; Jessica Lasky-Su; Jordan W Smoller; Amy J Murphy; Matt McQueen; Kady Schneiter; Juan C Celedon; Scott T Weiss; Edwin K Silverman; Christoph Lange Journal: Biometrics Date: 2007-10-25 Impact factor: 2.571
Authors: Mary M Jenkins; Lynn M Almli; Faith Pangilinan; Jessica X Chong; Elizabeth E Blue; Stuart K Shapira; Janson White; Daniel McGoldrick; Joshua D Smith; James C Mullikin; Christopher J Bean; Wendy N Nembhard; Xiang-Yang Lou; Gary M Shaw; Paul A Romitti; Kim Keppler-Noreuil; Mahsa M Yazdy; Denise M Kay; Tonia C Carter; Andrew F Olshan; Kristin J Moore; Nanette Nascone-Yoder; Richard H Finnell; Philip J Lupo; Marcia L Feldkamp; Deborah A Nickerson; Michael J Bamshad; Lawrence C Brody; Jennita Reefhuis Journal: Birth Defects Res Date: 2019-07-21 Impact factor: 2.344