Robust Rare-Variant Association Tests For Quantitative Traits in General Pedigrees.

ABSTRACT: Next generation sequencing technology has propelled the development of statistical methods to identify rare polygenetic variation associated with complex traits. The majority of these statistical methods are designed for case-control or population-based studies, with few methods that are applicable to family-based studies. Moreover, existing methods for family-based studies mainly focus on trios or nuclear families; there are far fewer existing methods available for analyzing larger pedigrees of arbitrary size and structure. To fill this gap, we propose a method for rare-variant analysis in large pedigree studies that can utilize information from all available relatives. Our approach is based on a kernel-machine regression (KMR) framework, which has the advantages of high power, as well as

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC6329454 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature