B0991
Title: Re-analyzing large-scale GWAS meta-analysis using GAUSS and next generation reference panels
Authors: Donghyung Lee - Miami University (United States) [presenting]
Abstract: A coherent software package is introduced for genome analysis using summary statistics (GAUSS) from genome-wide association studies and whole genome/exome sequencing studies. It contains diverse tools which allow for accurate and computationally efficient genome analyses (e.g., summary statistic imputation, joint testing of eQTLs, causality test, etc.). Among these tools implemented in GAUSS, the focus is mainly on describing a novel statistical method/software (DISTMIX) for directly imputing summary statistics of unmeasured single nucleotide polymorphisms from cosmopolitan cohorts using a next-generation reference panel consisting of 32,953 samples from 29 ethnic groups. The performance of the proposed method is illustrated using real summary data sets from the psychiatric genomics consortium.
