PRSice-2: Polygenic Risk Score software for biobank-scale data.

ABSTRACT:

Background

Polygenic risk score (PRS) analyses have become an integral part of biomedical research, exploited to gain insights into shared aetiology among traits, to control for genomic profile in experimental studies, and to strengthen causal inference, among a range of applications. Substantial efforts are now devoted to biobank projects to collect large genetic and phenotypic data, providing unprecedented opportunity for genetic discovery and applications. To process the large-scale data provided by such biobank resources, highly efficient and scalable methods and software are required.

Results

Here we introduce PRSice-2, an efficient and scalable software program for automating and simplifying PRS analyses on large-scale data. PRSice-2 handles both genotyped and imputed

SUBMITTER: Choi SW 

PROVIDER: S-EPMC6629542 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature