Powerful and efficient SNP-set association tests across multiple phenotypes using GWAS summary data.

ABSTRACT:

Motivation

Many GWAS conducted in the past decade have identified tens of thousands of disease related variants, which in total explained only part of the heritability for most traits. There remain many more genetics variants with small effect sizes to be discovered. This has motivated the development of sequencing studies with larger sample sizes and increased resolution of genotyped variants, e.g., the ongoing NHLBI Trans-Omics for Precision Medicine (TOPMed) whole genome sequencing project. An alternative approach is the development of novel and more powerful statistical methods. The current dominating approach in the field of GWAS analysis is the "single trait single variant" association test, despite the fact that most GWAS are conducted in deeply-phenotyped cohorts with many

SUBMITTER: Guo B 

PROVIDER: S-EPMC6477978 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature