Integrating genome-wide association and transcriptome prediction model identifies novel target genes for osteoporosis.

ABSTRACT: In this study, we integrated large-scale GWAS summary data and used the predicted transcriptome-wide association study method to discover novel genes associated with osteoporosis. We identified 204 candidate genes, which provide novel clues for understanding the genetic mechanism of osteoporosis and indicate potential therapeutic targets.

Introduction

Osteoporosis is a highly polygenetic disease characterized by low bone mass and deterioration of the bone microarchitecture. Our objective was to discover novel candidate genes associated with osteoporosis.

Methods

To identify potential causal genes of the associated loci, we investigated trait-gene expression associations using the transcriptome-wide association study (TWAS) method. This method directly imputes gene expression

SUBMITTER: Zhu M 

PROVIDER: S-EPMC8608767 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature