SumSTAAR: A flexible framework for gene-based association studies using GWAS summary statistics.

ABSTRACT: Gene-based association analysis is an effective gene-mapping tool. Many gene-based methods have been proposed recently. However, their power depends on the underlying genetic architecture, which is rarely known in complex traits, and so it is likely that a combination of such methods could serve as a universal approach. Several frameworks combining different gene-based methods have been developed. However, they all imply a fixed set of methods, weights and functional annotations. Moreover, most of them use individual phenotypes and genotypes as input data. Here, we introduce sumSTAAR, a framework for gene-based association analysis using summary statistics obtained from genome-wide association studies (GWAS). It is an extended and modified version of STAAR framework proposed by Li and coll

SUBMITTER: Belonogova NM 

PROVIDER: S-EPMC9197066 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature