Meta-imputation: An efficient method to combine genotype data after imputation with multiple reference panels.

ABSTRACT: Genotype imputation is an integral tool in genome-wide association studies, in which it facilitates meta-analysis, increases power, and enables fine-mapping. With the increasing availability of whole-genome-sequence datasets, investigators have access to a multitude of reference-panel choices for genotype imputation. In principle, combining all sequenced whole genomes into a single large panel would provide the best imputation performance, but this is often cumbersome or impossible due to privacy restrictions. Here, we describe meta-imputation, a method that allows imputation results generated using different reference panels to be combined into a consensus imputed dataset. Our meta-imputation method requires small changes to the output of existing imputation tools to produce necessary inp

SUBMITTER: Yu K 

PROVIDER: S-EPMC9247833 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature