Benchmarking statistical methods for analyzing parent-child dyads in genetic association studies.

ABSTRACT: Genetic association studies of child health outcomes often employ family-based study designs. One of the most popular family-based designs is the case-parent trio design that considers the smallest possible nuclear family consisting of two parents and their affected child. This trio design is particularly advantageous for studying relatively rare disorders because it is less prone to type 1 error inflation due to population stratification compared to population-based study designs (e.g., case-control studies). However, obtaining genetic data from both parents is difficult, from a practical perspective, and many large studies predominantly measure genetic variants in mother-child dyads. While some statistical methods for analyzing parent-child dyad data (most commonly involving mother-child

SUBMITTER: Ray D 

PROVIDER: S-EPMC9356976 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature