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Dataset Information

Integrative analyses for the identification of idiopathic pulmonary fibrosis-associated genes and shared loci with other diseases.


ABSTRACT:

Background

Although genome-wide association studies (GWAS) have identified many genomic regions associated with idiopathic pulmonary fibrosis (IPF), the causal genes and functions remain largely unknown. Many single-cell expression data have become available for IPF, and there is increasing evidence suggesting a shared genetic basis between IPF and other diseases.

Methods

We conducted integrative analyses to improve the power of GWAS. First, we calculated global and local genetic correlations to identify IPF genetically associated traits and local regions. Then, we prioritised candidate genes contributing to local genetic correlation. Second, we performed transcriptome-wide association analysis (TWAS) of 44 tissues to identify candidate genes whose genetically predicted expr

SUBMITTER: Chen M 

PROVIDER: S-EPMC10083187 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature