Evaluation and application of summary statistic imputation to discover new height-associated loci.

ABSTRACT: As most of the heritability of complex traits is attributed to common and low frequency genetic variants, imputing them by combining genotyping chips and large sequenced reference panels is the most cost-effective approach to discover the genetic basis of these traits. Association summary statistics from genome-wide meta-analyses are available for hundreds of traits. Updating these to ever-increasing reference panels is very cumbersome as it requires reimputation of the genetic data, rerunning the association scan, and meta-analysing the results. A much more efficient method is to directly impute the summary statistics, termed as summary statistics imputation, which we improved to accommodate variable sample size across SNVs. Its performance relative to genotype imputation and practical ut

SUBMITTER: Rueger S 

PROVIDER: S-EPMC5983877 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature