A global overview of genetically interpretable multimorbidities among common diseases in the UK Biobank.

ABSTRACT:

Background

Multimorbidities greatly increase the global health burdens, but the landscapes of their genetic risks have not been systematically investigated.

Methods

We used the hospital inpatient data of 385,335 patients in the UK Biobank to investigate the multimorbid relations among 439 common diseases. Post-GWAS analyses were performed to identify multimorbidity shared genetic risks at the genomic loci, network, as well as overall genetic architecture levels. We conducted network decomposition for the networks of genetically interpretable multimorbidities to detect the hub diseases and the involved molecules and functions in each module.

Results

In total, 11,285 multimorbidities among 439 common diseases were identified, and 46% of them were genetically interpretab

SUBMITTER: Dong G 

PROVIDER: S-EPMC8258962 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature