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Polygenic

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PoPS

AI GWAS Gene Prioritization Machine Learning Polygenic Nat Genet
PUBMED_LINK
37443254
FULL NAME
PoPS - Polygenic Priority Score for Gene Prioritization
DESCRIPTION
PoPS (Polygenic Priority Score) is a method that learns trait-relevant gene features, such as cell-type-specific expression, to prioritize genes at GWAS loci. It leverages polygenic enrichments across multiple gene features to predict causal genes underlying complex traits and diseases. Published in Nature Genetics.
URL
https://github.com/FinucaneLab/pops
TITLE
Leveraging polygenic enrichments of gene features to predict genes underlying complex traits and diseases.
ABSTRACT
Genome-wide association studies (GWASs) are a valuable tool for understanding the biology of complex human traits and diseases, but associated variants rarely point directly to causal genes. In the present study, we introduce a new method, polygenic priority score (PoPS), that learns trait-relevant gene features, such as cell-type-specific expression, to prioritize genes at GWAS loci. PoPS and the closest gene individually outperform other gene prioritization methods.
DOI
10.1038/s41588-023-01443-6