Faculty, Staff and Student Publications
Language
English
Publication Date
4-11-2025
Journal
Nature Communications
DOI
10.1038/s41467-025-58574-z
PMID
40210677
PMCID
PMC11985957
PubMedCentral® Posted Date
4-11-2025
PubMedCentral® Full Text Version
Post-print
Abstract
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.
© 2025. The Author(s).
Keywords
Female, Humans, Male, Cholesterol, HDL, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Genome-Wide Association Study, Hispanic or Latino, Lipids, Membrane Proteins, Mendelian Randomization Analysis, Multiomics, Polymorphism, Single Nucleotide, Proteomics, Quantitative Trait Loci, Triglycerides
Published Open-Access
yes
Recommended Citation
Petty, Lauren E; Chen, Hung-Hsin; Frankel, Elizabeth G; et al., "Large-Scale Multi-Omics Analyses in Hispanic/Latino Populations Identify Genes for Cardiometabolic Traits" (2025). Faculty, Staff and Student Publications. 1086.
https://digitalcommons.library.tmc.edu/uthsph_docs/1086