Large-scale genome-wide analyses with proteomics integration reveal novel loci and biological insights into frailty

Author:

Mak Jonathan K.L.ORCID,Qin Chenxi,Kuukka Anna, ,Hägg SaraORCID,Lin JakeORCID,Jylhävä JuuliaORCID

Abstract

AbstractFrailty is a clinically relevant phenotype with significant gaps in our understanding of its etiology. We performed a genome-wide association study of frailty in FinnGen (N=500,737) and replicated the signals in the UK Biobank (N=429,463) using polygenic risk scores (PRSs). We prioritized genes through proteomics integration (N∼45,000; UK Biobank) and colocalization of protein quantitative trait loci. Frailty was measured using the Hospital Frailty Risk Score (HFRS). We observed 1,588 variants associated with frailty (p<5×10-8) of which 1,242 were novel, i.e., previously unreported for any trait. The associations mapped to 106 genes of which 31 were novel. PRS replication validated the signals (β=0.074,p<2×10-16). Cell type enrichment analysis indicated expression in neuronal cells. Protein levels ofKHK,CGREF1,MET,ATXN2,ALDH2,NECTIN2,APOC1,APOEandFOSBwere associated with HFRS, whereas colocalized signals were observed withinAPOEandBRAP. Our results reveal novel genetic contributions and causal candidate genes for frailty.

Publisher

Cold Spring Harbor Laboratory

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