Funmap: integrating high-dimensional functional annotations to improve fine-mapping.

ABSTRACT:

Motivation

Fine-mapping aims to prioritize causal variants underlying complex traits by accounting for the linkage disequilibrium of genome-wide association study risk locus. The expanding resources of functional annotations serve as auxiliary evidence to improve the power of fine-mapping. However, existing fine-mapping methods tend to generate many false positive results when integrating a large number of annotations.

Results

In this study, we propose a unified method to integrate high-dimensional functional annotations with fine-mapping (Funmap). Funmap can effectively improve the power of fine-mapping by borrowing information from hundreds of functional annotations. Meanwhile, it relates the annotation to the causal probability with a random effects model that avoids the

SUBMITTER: Li Y 

PROVIDER: S-EPMC11769679 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature