Integrating Proteomics and GWAS to Identify Key Tissues and Genes Underlying Human Complex Diseases

• Published in: Biology (Basel, Switzerland) Vol. 14; no. 5; p. 554
• Main Authors: Xue, Chao, Zhou, Miao
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 16.05.2025; MDPI
• Subjects: Arthritis; associated genes; Bipolar disorder; Cardiovascular disease; complex diseases; Coronary artery disease; Coronary heart disease; Crohn's disease; Diabetes mellitus (non-insulin dependent); Disease susceptibility; disease-associated tissues; fine-mapping; Gene expression; Gene mapping; Genes; Genetic aspects; Genetic research; Genome-wide association studies; genome-wide association study; Heart diseases; Mental disorders; Molecular modelling; Peptide mapping; Protein expression; Proteins; Proteomics; Rheumatoid arthritis; Rheumatoid factor; Ribonucleic acid; RNA; Schizophrenia; Standard scores; Tissues; Transcriptomics; Type 2 diabetes; disease-associated tissues; proteomics; complex diseases; associated genes; genome-wide association study; fine-mapping

Background: The tissues of origin and molecular mechanisms underlying human complex diseases remain incompletely understood. Previous studies have leveraged transcriptomic data to interpret genome-wide association studies (GWASs) for identifying disease-relevant tissues and fine-mapping causal genes...