Testing Allele Transmission of an SNP Set Using a Family‐Based Generalized Genetic Random Field Method

ABSTRACT Family‐based association studies are commonly used in genetic research because they can be robust to population stratification (PS). Recent advances in high‐throughput genotyping technologies have produced a massive amount of genomic data in family‐based studies. However, current family‐based association tests are mainly focused on evaluating individual variants one at a time. In this article, we introduce a family‐based generalized genetic random field (FB‐GGRF) method to test the joint association between a set of autosomal SNPs (i.e., single‐nucleotide polymorphisms) and disease phenotypes. The proposed method is a natural extension of a recently developed GGRF method for population‐based case‐control studies. It models offspring genotypes conditional on parental genotypes, and, thus, is robust to PS. Through simulations, we presented that under various disease scenarios the FB‐GGRF has improved power over a commonly used family‐based sequence kernel association test (FB‐SKAT). Further, similar to GGRF, the proposed FB‐GGRF method is asymptotically well‐behaved, and does not require empirical adjustment of the type I error rates. We illustrate the proposed method using a study of congenital heart defects with family trios from the National Birth Defects Prevention Study (NBDPS).
Source: Genetic Epidemiology - Category: Epidemiology Authors: Tags: Research Article Source Type: research