Meta-Analysis of Rare Variant Association Tests in Multiethnic Populations.

ABSTRACT: Several methods have been proposed to increase power in rare variant association testing by aggregating information from individual rare variants (MAF < 0.005). However, how to best combine rare variants across multiple ethnicities and the relative performance of designs using different ethnic sampling fractions remains unknown. In this study, we compare the performance of several statistical approaches for assessing rare variant associations across multiple ethnicities. We also explore how different ethnic sampling fractions perform, including single-ethnicity studies and studies that sample up to four ethnicities. We conducted simulations based on targeted sequencing data from 4,611 women in four ethnicities (African, European, Japanese American, and Latina). As with single-ethnicity stu

SUBMITTER: Mensah-Ablorh A 

PROVIDER: S-EPMC4968883 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature