Methods for Detecting Interactions Between Genetic Polymorphisms and Prenatal Environment Exposure with a Mother-Child Design

• Activity Number: 16
• Type: Topic Contributed
• Date/Time: Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
• Sponsor: Biometrics Section
• Author(s): Shuang Wang*+ and Tian Zheng and Stephen Chanock and Wieslaw Jedrychowski and Frederica Perera
• Companies: Columbia University and Columbia University and National Cancer Institute and Jagiellonian University and Columbia University
• Keywords: mother-child pair design ; gene-environment interaction ; likelihood-based method

Abstract

To study the effects of maternal environmental exposure during pregnancy and early postnatal environmental exposures on the child's development, a prospective mother-child pair design has become popular recently. With this design, existing methods for parent-child trios or random samples are either not applicable or not designed to optimally use the information as this design provides partial information on genetic transmission and has both maternal and newborn outcome status collected. We developed a likelihood-based method that uses both the maternal and the newborn information together and jointly models gene-environment interactions on maternal and newborn outcomes.