Nature AgingGenetic & Genomic MedicinePeer-reviewed journal article
Large-scale genome-wide analyses with proteomics integration reveal novel loci and biological insights into frailty
Jonathan K. L. MakiD, Chenxi Qin, Moritz KrügeriD, Anna Kuukka, FinnGeniD, Aarno V. PalotieiD, Mark J. DalyiD, Bridget Riley-Gillis, Howard J. JacobiD, Dirk S. PauliD, Slavé PetrovskiiD, Heiko RunziD, Sally John, George Okafo, Robert M. PlengeiD, Joseph MaranvilleiD, Mark I. McCarthyiD, Margaret G. EhmiD, Kirsi M. Auro, Simonne Longerich, Anders MälarstigiD, Katherine Klinger, Clément ChatelainiD, Matthias Gossel, Karol EstradaiD, , Ekaterina A. KhramtsovaiD
Abstract
Frailty 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<5x10-8) 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 ({beta}=0.074, p<2x10-16). Cell type enrichment analysis indicated expression in neuronal cells. Protein levels of KHK, CGREF1, MET, ATXN2, ALDH2, NECTIN2, APOC1, APOE and FOSB were associated with HFRS, whereas colocalized signals were observed within APOE and BRAP. Our results reveal novel genetic contributions and causal candidate genes for frailty.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 5
- FWCI
- 2.92
- Field percentile
- top 8%
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