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Ancestry-driven metabolite variation provides insights into disease states in admixed populations
BACKGROUND: Metabolic pathways are related to physiological functions and disease states and are influenced by genetic variation and environmental factors. Hispanics/Latino individuals have ancestry-derived genomic regions (local ancestry) from their recent admixture that have been less characterize...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351197/ https://www.ncbi.nlm.nih.gov/pubmed/37461045 http://dx.doi.org/10.1186/s13073-023-01209-z |
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author | Reynolds, Kaylia M. Horimoto, Andrea R. V. R. Lin, Bridget M. Zhang, Ying Kurniansyah, Nuzulul Yu, Bing Boerwinkle, Eric Qi, Qibin Kaplan, Robert Daviglus, Martha Hou, Lifang Zhou, Laura Y. Cai, Jianwen Shaikh, Saame Raza Sofer, Tamar Browning, Sharon R. Franceschini, Nora |
author_facet | Reynolds, Kaylia M. Horimoto, Andrea R. V. R. Lin, Bridget M. Zhang, Ying Kurniansyah, Nuzulul Yu, Bing Boerwinkle, Eric Qi, Qibin Kaplan, Robert Daviglus, Martha Hou, Lifang Zhou, Laura Y. Cai, Jianwen Shaikh, Saame Raza Sofer, Tamar Browning, Sharon R. Franceschini, Nora |
author_sort | Reynolds, Kaylia M. |
collection | PubMed |
description | BACKGROUND: Metabolic pathways are related to physiological functions and disease states and are influenced by genetic variation and environmental factors. Hispanics/Latino individuals have ancestry-derived genomic regions (local ancestry) from their recent admixture that have been less characterized for associations with metabolite abundance and disease risk. METHODS: We performed admixture mapping of 640 circulating metabolites in 3887 Hispanic/Latino individuals from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Metabolites were quantified in fasting serum through non-targeted mass spectrometry (MS) analysis using ultra-performance liquid chromatography-MS/MS. Replication was performed in 1856 nonoverlapping HCHS/SOL participants with metabolomic data. RESULTS: By leveraging local ancestry, this study identified significant ancestry-enriched associations for 78 circulating metabolites at 484 independent regions, including 116 novel metabolite-genomic region associations that replicated in an independent sample. Among the main findings, we identified Native American enriched genomic regions at chromosomes 11 and 15, mapping to FADS1/FADS2 and LIPC, respectively, associated with reduced long-chain polyunsaturated fatty acid metabolites implicated in metabolic and inflammatory pathways. An African-derived genomic region at chromosome 2 was associated with N-acetylated amino acid metabolites. This region, mapped to ALMS1, is associated with chronic kidney disease, a disease that disproportionately burdens individuals of African descent. CONCLUSIONS: Our findings provide important insights into differences in metabolite quantities related to ancestry in admixed populations including metabolites related to regulation of lipid polyunsaturated fatty acids and N-acetylated amino acids, which may have implications for common diseases in populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01209-z. |
format | Online Article Text |
id | pubmed-10351197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103511972023-07-18 Ancestry-driven metabolite variation provides insights into disease states in admixed populations Reynolds, Kaylia M. Horimoto, Andrea R. V. R. Lin, Bridget M. Zhang, Ying Kurniansyah, Nuzulul Yu, Bing Boerwinkle, Eric Qi, Qibin Kaplan, Robert Daviglus, Martha Hou, Lifang Zhou, Laura Y. Cai, Jianwen Shaikh, Saame Raza Sofer, Tamar Browning, Sharon R. Franceschini, Nora Genome Med Research BACKGROUND: Metabolic pathways are related to physiological functions and disease states and are influenced by genetic variation and environmental factors. Hispanics/Latino individuals have ancestry-derived genomic regions (local ancestry) from their recent admixture that have been less characterized for associations with metabolite abundance and disease risk. METHODS: We performed admixture mapping of 640 circulating metabolites in 3887 Hispanic/Latino individuals from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Metabolites were quantified in fasting serum through non-targeted mass spectrometry (MS) analysis using ultra-performance liquid chromatography-MS/MS. Replication was performed in 1856 nonoverlapping HCHS/SOL participants with metabolomic data. RESULTS: By leveraging local ancestry, this study identified significant ancestry-enriched associations for 78 circulating metabolites at 484 independent regions, including 116 novel metabolite-genomic region associations that replicated in an independent sample. Among the main findings, we identified Native American enriched genomic regions at chromosomes 11 and 15, mapping to FADS1/FADS2 and LIPC, respectively, associated with reduced long-chain polyunsaturated fatty acid metabolites implicated in metabolic and inflammatory pathways. An African-derived genomic region at chromosome 2 was associated with N-acetylated amino acid metabolites. This region, mapped to ALMS1, is associated with chronic kidney disease, a disease that disproportionately burdens individuals of African descent. CONCLUSIONS: Our findings provide important insights into differences in metabolite quantities related to ancestry in admixed populations including metabolites related to regulation of lipid polyunsaturated fatty acids and N-acetylated amino acids, which may have implications for common diseases in populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01209-z. BioMed Central 2023-07-17 /pmc/articles/PMC10351197/ /pubmed/37461045 http://dx.doi.org/10.1186/s13073-023-01209-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Reynolds, Kaylia M. Horimoto, Andrea R. V. R. Lin, Bridget M. Zhang, Ying Kurniansyah, Nuzulul Yu, Bing Boerwinkle, Eric Qi, Qibin Kaplan, Robert Daviglus, Martha Hou, Lifang Zhou, Laura Y. Cai, Jianwen Shaikh, Saame Raza Sofer, Tamar Browning, Sharon R. Franceschini, Nora Ancestry-driven metabolite variation provides insights into disease states in admixed populations |
title | Ancestry-driven metabolite variation provides insights into disease states in admixed populations |
title_full | Ancestry-driven metabolite variation provides insights into disease states in admixed populations |
title_fullStr | Ancestry-driven metabolite variation provides insights into disease states in admixed populations |
title_full_unstemmed | Ancestry-driven metabolite variation provides insights into disease states in admixed populations |
title_short | Ancestry-driven metabolite variation provides insights into disease states in admixed populations |
title_sort | ancestry-driven metabolite variation provides insights into disease states in admixed populations |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10351197/ https://www.ncbi.nlm.nih.gov/pubmed/37461045 http://dx.doi.org/10.1186/s13073-023-01209-z |
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