Kavli Affiliate: V. S. Ramachandran
| Authors: Nannan Wang, Franklin P. Ockerman, Laura Y. Zhou, Megan L Grove, Taryn Alkis, John Barnard, Russell P. Bowler, Clary B. Clish, Shinhye Chung, Emily Drzymalla, Anne M. Evans, Nora Franceschini, Robert E. Gerszten, Madeline G. Gillman, Scott R. Hutton, Rachel S. Kelly, Charles Kooperberg, Martin G. Larson, Jessica A. Lasky-Su, Deborah A. Meyers, Prescott G. Woodruff, Alexander P. Reiner, Stephen S Rich, Jerome Rotter, Edwin K Silverman, Vasan S. Ramachandran, Scott T. Weiss, Kari E. Wong, Alexis C. Wood, Lang Wu, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Ronit Yarden, Tom Blackwell, Albert Vernon Smith, Han Chen, Laura M. Raffield and Bing Yu
| Summary:
Circulating metabolite levels partly reflect the state of human health and diseases, and can be impacted by genetic determinants. Hundreds of loci associated with circulating metabolites have been identified; however, most findings focus on predominantly European ancestry or single study analyses. Leveraging the rich metabolomics resources generated by the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program, we harmonized and accessibly cataloged 1,729 circulating metabolites among 25,058 ancestrally-diverse samples. We provided recommendations for outlier and imputation handling to process metabolite data, as well as a general analytical framework. We further performed a pooled analysis following our practical recommendations and discovered 1,778 independent loci associated with 667 metabolites. Among 108 novel locus-metabolite pairs, we detected not only novel loci within previously implicated metabolite associated genes, but also novel genes (such as GAB3 and VSIG4 located in the X chromosome) that have putative roles in metabolic regulation. In the sex-stratified analysis, we revealed 85 independent locus-metabolite pairs with evidence of sexual dimorphism, including well-known metabolic genes such as FADS2, D2HGDH, SUGP1, UTG2B17, strongly supporting the importance of exploring sex difference in the human metabolome. Taken together, our study depicted the genetic contribution to circulating metabolite levels, providing additional insight into the understanding of human health.