Non-parametric Polygenic Risk Prediction via Partitioned GWAS Summary Statistics.

ABSTRACT: In complex trait genetics, the ability to predict phenotype from genotype is the ultimate measure of our understanding of genetic architecture underlying the heritability of a trait. A complete understanding of the genetic basis of a trait should allow for predictive methods with accuracies approaching the trait's heritability. The highly polygenic nature of quantitative traits and most common phenotypes has motivated the development of statistical strategies focused on combining myriad individually non-significant genetic effects. Now that predictive accuracies are improving, there is a growing interest in the practical utility of such methods for predicting risk of common diseases responsive to early therapeutic intervention. However, existing methods require individual-level genotypes o

SUBMITTER: Chun S 

PROVIDER: S-EPMC7332650 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature