Genome biology · 2026
Genetic architecture and cross-platform validation of apolipoprotein A-IV concentrations.
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Koller Adriana, Schnitzer Florian, Kollerits Barbara, Lamina Claudia, Moix Samuel, Claringbould Annique, Mishra Binisha H, Lu Haojie, Schachtl-Riess Johanna F, Forer Lukas, Gieger Christian, Kheirkhah Azin, Lehtimäki Terho, Marques-Vidal Pedro, Schönherr Sebastian, Stark Klaus J, Würzner Reinhard, Eckardt Kai-Uwe, Heid Iris M, Kavousi Maryam, Köttgen Anna, Raitakari Olli, Sijbrands Eric J G, Peters Annette, Vollenweider Peter, Kronenberg Florian
Аннотация
BACKGROUND: Apolipoprotein A-IV (apoA-IV) plays key roles in lipid metabolism, reverse cholesterol transport, and kidney function, yet its genetic determinants remain poorly defined. We conduct a genome-wide association study (GWAS) meta-analysis of apoA-IV concentrations measured by ELISA in 25,181 individuals and combine these with proteomic data from 33,995 UK Biobank participants (Olink platform), yielding a total sample of 59,176. We perform genetic correlations and colocalization analyses to explore links with lipid, renal, and other complex traits.
RESULTS: The GWAS identifies several novel loci to be associated with apoA-IV concentrations (TDRD5, DPP4, MYL3, MORC1, MCUB, GATA4, ZPR1, UMOD, GLP2R, SLC38A10 and APOE) besides two previously identified loci (APOA5-A4-C3-A1 cluster and KLKB1). Cross-platform comparison shows strong concordance of effect directions and magnitudes, underscoring the robustness of findings across measurement techniques. Global genetic correlation reveals significant shared genetic architecture between apoA-IV, kidney function and HDL-cholesterol, while colocalization supports shared causal variants with lipid, renal, and hematological phenotypes, suggesting biologically relevant pathways.
CONCLUSION: These results provide a comprehensive overview of the genetic architecture of apoA-IV and suggest mechanistic links to lipid metabolism, kidney function and blood-related traits. Our findings refine the role of apoA-IV as a potential biomarker and inform future epidemiological research.
RESULTS: The GWAS identifies several novel loci to be associated with apoA-IV concentrations (TDRD5, DPP4, MYL3, MORC1, MCUB, GATA4, ZPR1, UMOD, GLP2R, SLC38A10 and APOE) besides two previously identified loci (APOA5-A4-C3-A1 cluster and KLKB1). Cross-platform comparison shows strong concordance of effect directions and magnitudes, underscoring the robustness of findings across measurement techniques. Global genetic correlation reveals significant shared genetic architecture between apoA-IV, kidney function and HDL-cholesterol, while colocalization supports shared causal variants with lipid, renal, and hematological phenotypes, suggesting biologically relevant pathways.
CONCLUSION: These results provide a comprehensive overview of the genetic architecture of apoA-IV and suggest mechanistic links to lipid metabolism, kidney function and blood-related traits. Our findings refine the role of apoA-IV as a potential biomarker and inform future epidemiological research.