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

作者：Lauren E. Petty, Hung‐Hsin Chen, Eitan Frankel, Wanying Zhu, Carolina G Downie, Mariaelisa Graff, Phillip Lin, Priya Sharma, Xinruo Zhang, Alyssa Scartozzi, Rashedeh Roshani, Joshua M. Landman, Michael Boehnke, Donald W. Bowden, John C. Chambers, Anubha Mahajan, Mark I. McCarthy, Maggie C. Y. Ng, Xueling Sim, Cassandra N. Spracklen, Weihua Zhang, Michael Preuß, Erwin P. Böttinger, Girish N. Nadkarni, Ruth J. F. Loos, Yii‐Der Ida Chen, Jingyi Tan, Eli Ipp, Pauline Genter, Leslie S. Emery, Tin Louie, Tamar Sofer, Adrienne M. Stilp, Kent D. Taylor, Anny H. Xiang, Thomas A. Buchanan, Kathryn Roll, Chuan Gao, Nicholette D. Palmer, Jill M. Norris, Lynne E. Wagenknecht, Darryl Nousome, Rohit Varma, Roberta McKean‐Cowdin, Xiuqing Guo, Yang Hai, Willa A. Hsueh, Kevin Sandow, Esteban J. Parra, Miguel Cruz, Adán Valladares‐Salgado, Niels Wacher-Rodarte, Jerome I. Rotter, Mark O. Goodarzi, Stephen S. Rich, Alain G. Bertoni, Leslie J. Raffel, Jerry L. Nadler, Fouad Kandeel, Ravindranath Duggirala, John Blangero, Donna M. Lehman, Ralph A. DeFronzo, Farook Thameem, Yujie Wang, Sheila Gahagan, Estela Blanco, Raquel Burrows, Alicia Huerta‐Chagoya, José C. Florez, Teresa Tusié‐Luna, Clicerio González‐Villalpando, Lorena Orozco, Christopher A. Haiman, Craig L. Hanis, Rebecca L. Rohde, Eric A. Whitsel, Alex P. Reiner, Charles Kooperberg, Yun Li, Qing Duan, Miryoung Lee, Paulina Correa‐Burrows, Susan K. Fried, Kari E. North, Joseph B. McCormick, Susan P. Fisher-Hoch, Eric R. Gamazon, Andrew P. Morris, Josep M. Mercader, Heather M. Highland, Jennifer E Below · 发表于：Nature Communications · 年份：2025 · DOI：10.1038/s41467-025-58574-z · 被引用次数：6 · 研究领域：Genetic Associations and Epidemiology、Cancer-related molecular mechanisms research、RNA modifications and cancer

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. The authors present a multiomics study of type 2 diabetes and quantitative blood lipid and lipoprotein traits in Hispanic/Latino populations. They demonstrate how integrating GWAS with omics characterization can advance precision medicine.