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Large-scale multi-omics analyses in Hispanic/Latino populations identify genes for cardiometabolic traits

Title: Large-scale multi-omics analyses in Hispanic/Latino populations identify genes for cardiometabolic traits
Authors: Petty, LE; Chen, H; Frankel, EG; Zhu, W; Downie, CG; Graff, M; Lin, P; Sharma, P; Zhang, X; Scartozzi, AC; Roshani, R; Landman, JM; Boehnke, M; Bowden, DW; Chambers, JC; Mahajan, A; McCarthy, MI; Ng, MCY; Sim, X; Spracklen, CN; Zhang, W; Preuss, M; Bottinger, EP; Nadkarni, GN
Publisher Information: Nature Research
Publication Year: 2025
Collection: Oxford University Research Archive (ORA)
Description: Here, we present a multi-omics study of type 2 diabetes and quantitative blood lipid and lipoprotein traits conducted to date in Hispanic/Latino populations (nmax = 63,184). We conduct a meta-analysis of 16 type 2 diabetes and 19 lipid trait GWAS, identifying 20 genome-wide significant loci for type 2 diabetes, including one novel locus and novel signals at two known loci, based on fine-mapping. We also identify sixty-one genome-wide significant loci across the lipid/lipoprotein traits, including nine novel loci, and novel signals at 19 known loci through fine-mapping. Next, we analyze genetically regulated expression, perform Mendelian randomization, and analyze association with transcriptomic and proteomic measure using multi-omics data from a Hispanic/Latino population. Using this approach, we identify genes linked to type 2 diabetes and lipid/lipoprotein traits, including TMEM205 and NEDD9 for HDL cholesterol, TREH for triglycerides, and ANXA4 for type 2 diabetes.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1038/s41467-025-58574-z
Availability: https://doi.org/10.1038/s41467-025-58574-z; https://ora.ox.ac.uk/objects/uuid:1c842b09-bd28-4516-98d6-d323e4e21d5f
Rights: info:eu-repo/semantics/openAccess ; CC Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)
Accession Number: edsbas.4F9C5C
Database: BASE