Case Study

A Genome-wide Association Study Discovers 46 Loci of the Human Metabolome in the Hispanic Community Health Study

The Metabolon Global Discovery Panel helped this research group to elucidate the relationship between genetic factors, metabolites, and cardiometabolic disease risk in an underrepresented community.

In this study, researchers combined Genome-Wide Association Study (GWAS) data and untargeted global metabolomics to shed light on disease etiology in a large cohort of Hispanic/Latino people with increased cardiovascular disease risk. Integrating these data helped pinpoint causal effects between metabolites and disease outcomes. This foundational study advances the understanding of cardiometabolic disease risk in Hispanic and Latino populations and how metabolite levels are linked to these diseases’ prevalence.

In this study, researchers combined Genome-Wide Association Study (GWAS) data and untargeted global metabolomics to shed light on disease etiology in a large cohort of Hispanic/Latino people with increased cardiovascular disease risk. Integrating these data helped pinpoint causal effects between metabolites and disease outcomes. This foundational study advances the understanding of cardiometabolic disease risk in Hispanic and Latino populations and how metabolite levels are linked to these diseases’ prevalence.

A Genome-wise Association Study Discovers 46 Loci of the Human Metabolome in the Hispanic Community Health Study

The Challenge: Cardiometabolic Disease Omics in Hispanic and Latino Populations are Unknown

Metabolites are small molecules that exert essential roles in biological processes. Small changes in metabolite levels can affect body homeostasis and can be reflected in health and disease. Studying the effect of gene variants on metabolite levels and the impact of such associations on health and disease helps understand cardiovascular and metabolic disease outcomes. Hispanic and Latino populations are at high risk for cardiometabolic diseases, although the relationship between genes, metabolites levels, and disease risk is largely unknown for this population. To address this knowledge gap, researchers used the Metabolon Global Discovery Panel to combine phenotypic data with Genome-Wide Association Study (GWAS) data from an at-risk cohort of Hispanics/Latinos.

Metabolon Insight: Metabolomic Profiling of At-risk Hispanic and Latino Populations

The study authors leveraged the Global Discovery Panel to perform metabolomic profiling of 3,926 participants in the Hispanic Community Health Study/Study of Latinos, for which GWAS data had also been produced.1

The Solution: Co-localize Genetic Variants with Metabolites

In this study, researchers integrated metabolite measurements from fasted blood samples with co-localization analysis of genetic variants to understand the interaction of metabolites and genes in a Hispanic/Latino community, a typically underrepresented population with a unique genetic background. They analyzed a panel of 1,000 genomes and identified 640 circulating metabolites in the cohort population.

From 46 previously unreported variant-metabolites pairs, they identified a genetic association with 12 metabolites, including amino acids, lipids, cofactors and vitamins, nucleotides, and peptides. The researchers also confirmed 301 known locus-metabolite associations. Notably, they replicated their finding

Further analysis showed that the levels of five metabolites were associated with a risk of coronary heart disease (CHD) or Type 2 diabetes (T2D). For example, two variants located in or near CYP4F2 and levels of octadecanedioate and the vitamin E metabolites gamma-CEHC and gamma-CEHC glucuronide. Associated with decreased CHD risk, these metabolites may improve CHD risk prediction. Conversely, increased levels of 1-arachidonylglycerol and 1-palmitoyl-2-stearoyl-GPC were associated with increased odds of T2D.

This study also provides the very first report of an association between the gene rs2328895 (encoding the protein “Solute Carrier family 17 member 1”; SLC17A1) and decreased levels of N-acetyl tryptophan, which reduces the risk of heart failure (HF) and the prevalence of coronary heart disease (CHD). Moreover, this gene is also associated with a decreased risk of incidence of CHD in older people.

The Outcome: 46 Variant-metabolite Associations Revealed

The Global Discovery Panel enabled this research group to report 46 clinically relevant associations between gene variants and circulating metabolites in Hispanic and Latino populations, demonstrating that metabolites are integral for the functional annotation of GWAS loci. The findings highlight the impact of genetic variants on metabolite levels and, consequently, on the cardiometabolic disease risk in this unique population.

References

1. Feofanova, E. V. et al. A Genome-wide Association Study Discovers 46 Loci of the Human Metabolome in the Hispanic Community Health Study/Study of Latinos. The American Journal of Human Genetics 107, 849–863 (2020).

References

1. Zgoda-Pols, J.R., et al., Metabolomics analysis reveals elevation of 3-indoxyl sulfate in plasma and brain during chemically-induced acute kidney injury in mice: investigation of nicotinic acid receptor agonists. Toxicol Appl Pharmacol, 2011. 255(1): p. 48-56.

2. Bryant, J.A., et al., The impact of an oral purified microbiome therapeutic on the gastrointestinal microbiome. Nat Med, 2026. 32(1): p. 186-196

3. McGovern, B .H., et al., SER-109, an Investigational Microbiome Drugto Reduce Recurrence After Clostridioides difficile Infection: Lessons Learned From a Phase 2 Trial. Clin Infect Dis, 2021. 72(12): p. 2132-2140.

4. Feuerstadt, P., et al., SER-109, an Oral Microbiome Therapy for Recurrent Clostridioides difficile Infection. N Engl J Med, 2022. 386(3): p. 220-229.

5. Hu, Z., et al., Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer. Mol Oncol, 2025. 19(6): p. 1737-1750.

6. Butler, F.M., et al., Vegetarian Dietary Patterns and Diet-Related Metabolites Are Associated With Kidney Function in the Adventist Health Study-2 Cohort. J Ren Nutr, 2025.

7. Stanford, J., et al., Metabolomic Profiling and Diet Quality Scoring in a Randomized Crossover Trial of Healthy and Typical Dietary Patterns. Mol Nutr Food Res, 2025 . 69(23): p. e70271.

8. O’Connor, L.E., et al., Metabolomic Profiling of an Ultraprocessed Dietary Pattern in a Domiciled Randomized Controlled Crossover Feeding Trial. J Nutr, 2023. 153(8): p. 2181-2192.

9. Fritsch, D.A., et al., Microbiome function underpins the efficacy of a fiber-supplemented dietary intervention in dogs with chronic large bowel diarrhea. BMC Vet Res, 2022. 18(1): p. 245.

10. Leal, L.N., et al., Preweaning nutrient supply improves lactation productivity and reduces the risk of culling in Holstein cows. J Dairy Sci, 2025. 108(6): p. 5875-5888.

11. Ahsin, M., et al., Soil and pasture health underlie improved beef nutrient density determined by untargeted metabolomics in Southern US grass finished beef systems. NPJ Sci Food, 2025. 9(1): p. 151.

12. Yin, W., et al., Plasma lipid profiling across species for the identification of optimal animal models of human dyslipidemia. J Lipid Res, 2012. 53(1): p. 51-65.

13. Porter, F .D., et al., Cholesterol oxidation products are sensitive and specific blood-based biomarkers for Niemann-Pick C1 disease. Sci Transl Med, 2010. 2(56): p. 56ra81.

14. Needham, B .D., et al., Plasma and Fecal Metabolite Profiles in Autism Spectrum Disorder. Biol Psychiatry, 2021. 89(5): p. 451-462

15. Li, C., et al., Estradiol and mTORC2 cooperate to enhance prostaglandin biosynthesis and tumorigenesis in TSC2-deficient LAM cells. J Exp Med, 2014. 211(1): p. 15-28.

16. Green, P.G., et al., Metabolic flexibility and reverse remodelling of the failing human heart. Eur Heart J, 2025. 46(25): p. 2422-2433.

17. Maekawa, H., et al., SGLT2 inhibition protects kidney function by SAM-dependent epigenetic repression of inflammatory genes under metabolic stress. J Clin Invest, 2025. 135(19).

18. Wu, D., et al., Integrated screens reveal that guanine nucleotide depletion, which is irreversible via targeting IMPDH2, inhibits pancreatic cancer and potentiates KRAS inhibition. Gut, 2026.

19. Schwerdtfeger, L.A., et al., Gut microbiota and metabolites are linked to disease progression in multiple sclerosis. Cell Rep Med, 2025. 6(4): p. 102055.

20. Wu, H., et al., Microbiome-metabolome dynamics associated with impaired glucose control and responses to lifestyle changes. Nat Med, 2025. 31(7): p. 2222-2231.

21. Jacobs, J.P., et al., Cognitive behavioral therapy for irritable bowel syndrome induces bidirectional alterations in the brain-gut-microbiome axis associated with gastrointestinal symptom improvement. Microbiome, 2021. 9(1): p. 236.

22. Pietzner, M., et al., Plasma metabolites to profile pathways in noncommunicable disease multimorbidity. Nat Med, 2021. 27(3): p. 471-479.

23. Faquih, T.O., et al., Robust Metabolomic Age Prediction Based on a Wide Selection of Metabolites. J Gerontol A Biol Sci Med Sci, 2025. 80(3).

24. Scherer, N., et al., Coupling metabolomics and exome sequencing reveals graded effects of rare damaging heterozygous variants on gene function and human traits. Nat Genet, 2025. 57(1): p. 193-205.

25. Holmes, Z.C., et al., Untargeted metabolomic analysis of human milk from healthy mothers reveals drivers of metabolite variability. Sci Rep, 2024. 14(1): p. 20827.

26. Titz, B., et al., Implications of Ocular Confounding Factors for Aqueous Humor Proteomic and Metabolomic Analyses in Retinal Diseases. Transl Vis Sci Technol, 2024. 13(6): p. 17.

27. Bloom, S.M., et al., Cysteine dependence of Lactobacillus iners is a potential therapeutic target for vaginal microbiota modulation. Nat Microbiol, 2022. 7(3): p. 434-450.

28. Leimer, E.M., et al., Lipid profile of human synovial fluid following intra-articular ankle fracture. J Orthop Res, 2017. 35(3): p. 657-666.