Characterizing the genetic basis of Cardio-Renal-Metabolic multimorbidity using multivariate genomic modelling

Genomic structural equation modelling of CRMM in European, African, and East Asian populations identifies 148, 16, and 138 independent CRMM-associated loci, respectively.

• Why it matters: Shared genetic architecture of cardio-renal-metabolic multimorbidity across ancestries is not fully resolved, limiting precision therapeutic targeting.
• What they did: Using ancestry-specific GWAS summary statistics from over 3.5 million participants in seven biobanks, the study fit a hierarchical latent-factor model and performed conditional analyses to count independent loci.
• The result: Neurological pathways and brain-tissue enrichment implicated ATXN2L, drug repurposing suggested existing diabetes and hypertension therapies, and Mendelian randomisation linked adiposity and cholesterol to CRMM risk.

AI summary of the abstract · may contain errors · not medical advice · read the paper.