Nature Communications (Apr 2025)

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

  • Lauren E. Petty,
  • Hung-Hsin Chen,
  • Elizabeth G. Frankel,
  • Wanying Zhu,
  • Carolina G. Downie,
  • Mariaelisa Graff,
  • Phillip Lin,
  • Priya Sharma,
  • Xinruo Zhang,
  • Alyssa C. 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. Bottinger,
  • 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 Hsueh,
  • Kevin Sandow,
  • Esteban J. Parra,
  • Miguel Cruz,
  • Adan Valladares-Salgado,
  • Niels Wacher-Rodarte,
  • Jerome I. Rotter,
  • Mark O. Goodarzi,
  • Stephen S. Rich,
  • Alain Bertoni,
  • Leslie J. Raffel,
  • Jerry L. Nadler,
  • Fouad R. Kandeel,
  • Ravindranath Duggirala,
  • John Blangero,
  • Donna M. Lehman,
  • Ralph A. DeFronzo,
  • Farook Thameem,
  • Yujie Wang,
  • Sheila Gahagan,
  • Estela Blanco,
  • Raquel Burrows,
  • Alicia Huerta-Chagoya,
  • Jose C. Florez,
  • Teresa Tusie-Luna,
  • Clicerio González-Villalpando,
  • Lorena Orozco,
  • Christopher A. Haiman,
  • Craig L. Hanis,
  • Rebecca Rohde,
  • Eric A. Whitsel,
  • Alexander 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,
  • On behalf of the DIAMANTE Hispanic/Latino Consortium,
  • Global Hispanic Lipids Consortium

DOI
https://doi.org/10.1038/s41467-025-58574-z
Journal volume & issue
Vol. 16, no. 1
pp. 1 – 13

Abstract

Read online

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.