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Meta-Analysis
. 2025 Apr 11;16(1):3438.
doi: 10.1038/s41467-025-58574-z.

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

Lauren E Petty  1 Hung-Hsin Chen  1   2 Elizabeth G Frankel  1 Wanying Zhu  1 Carolina G Downie  3 Mariaelisa Graff  3 Phillip Lin  1 Priya Sharma  3 Xinruo Zhang  3 Alyssa C Scartozzi  1 Rashedeh Roshani  1 Joshua M Landman  1 Michael Boehnke  4 Donald W Bowden  5   6   7 John C Chambers  8   9   10   11   12 Anubha Mahajan  13   14 Mark I McCarthy  13   14   15 Maggie C Y Ng  1   5   6   16 Xueling Sim  17 Cassandra N Spracklen  18   19 Weihua Zhang  8   9 Michael Preuss  20 Erwin P Bottinger  20 Girish N Nadkarni  20   21 Ruth J F Loos  20   22 Yii-Der Ida Chen  23 Jingyi Tan  23 Eli Ipp  24 Pauline Genter  24 Leslie S Emery  25 Tin Louie  25 Tamar Sofer  26   27   28 Adrienne M Stilp  25 Kent D Taylor  23 Anny H Xiang  29 Thomas A Buchanan  30 Kathryn Roll  23 Chuan Gao  31 Nicholette D Palmer  6 Jill M Norris  32 Lynne E Wagenknecht  33 Darryl Nousome  34 Rohit Varma  35 Roberta McKean-Cowdin  34 Xiuqing Guo  23 Yang Hai  23 Willa Hsueh  36 Kevin Sandow  23 Esteban J Parra  37 Miguel Cruz  38 Adan Valladares-Salgado  38 Niels Wacher-Rodarte  39 Jerome I Rotter  23 Mark O Goodarzi  40 Stephen S Rich  41 Alain Bertoni  42 Leslie J Raffel  43 Jerry L Nadler  44 Fouad R Kandeel  45 Ravindranath Duggirala  46 John Blangero  46 Donna M Lehman  47 Ralph A DeFronzo  47 Farook Thameem  48 Yujie Wang  3 Sheila Gahagan  49 Estela Blanco  50 Raquel Burrows  51 Alicia Huerta-Chagoya  52   53   54 Jose C Florez  27   53   54 Teresa Tusie-Luna  55 Clicerio González-Villalpando  56 Lorena Orozco  57 Christopher A Haiman  58 Craig L Hanis  59 Rebecca Rohde  3 Eric A Whitsel  3   60 Alexander P Reiner  61   62 Charles Kooperberg  62 Yun Li  18 Qing Duan  18 Miryoung Lee  63 Paulina Correa-Burrows  51 Susan K Fried  64 Kari E North  3 Joseph B McCormick  63 Susan P Fisher-Hoch  63 Eric R Gamazon  1   65 Andrew P Morris  66 Josep M Mercader  27   53   54 Heather M Highland  3 Jennifer E Below  67 DIAMANTE Hispanic/Latino ConsortiumGlobal Hispanic Lipids Consortium
Affiliations
Meta-Analysis

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

Lauren E Petty et al. Nat Commun. .

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.

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Conflict of interest statement

Competing interests: A.M. and M.I.M. are employees of Genentech and a holders of Roche stock. L.S.E. is now an employee of Bristol Myers Squibb (BMS) and a holder of BMS stock. The remaining authors declare no competing interests.

Figures

Fig. 1
Fig. 1. UpSet plots of gene/protein-based findings across omics.
UpSet plot (an extension of Venn diagrams to visualize overlap of more than three datasets) for type 2 diabetes (A) HDL cholesterol (B), LDL cholesterol (C) total cholesterol (D) triglycerides (E) and showing all nominally significant (p < 0.05) annotation results across gene/protein-based analyses for novel genes identified in S-PrediXcan discovery genetically regulated expression association analyses: Mendelian randomization of S-PrediXcan findings, transcriptomic association analyses, and proteomic association analyses. Intersections empty for all traits are excluded (GReX, MR, RNASeq, and Proteomics; and GReX, RNASeq, and Proteomics). GReX represents genetically regulated expression analysis (S-PrediXcan) results, MR represents Mendelian randomization results, RNASeq represents transcriptomic differential expression results, and Proteomics represents proteomic differential abundance results. Blue represents novel loci, purple represents novel genes/proteins in known loci, and pink represents known genes/proteins in known loci.
Fig. 2
Fig. 2. Single variant result counts for each trait, categorized by their status relative to previously reported variants and loci.
A novel variant in a known locus was defined as a locus that had known variants within one Mb, but no known variants contained in its 95% credible set(s). A known locus was defined as a locus with known variants contained in its 95% credible set(s). A novel locus was defined as a variant with no known variants within one Mb or contained in its 95% credible set(s). Pink represents known variants in known loci, purple represents novel variants in known loci, and blue represents novel loci. Traits included are type 2 diabetes (T2D), HDL cholesterol (HDL-C), LDL cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TG).

References

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