Ancestry-driven metabolite variation provides insights into disease states in admixed populations.


Journal

Genome medicine
ISSN: 1756-994X
Titre abrégé: Genome Med
Pays: England
ID NLM: 101475844

Informations de publication

Date de publication:
17 07 2023
Historique:
received: 22 11 2022
accepted: 10 07 2023
medline: 19 7 2023
pubmed: 18 7 2023
entrez: 17 7 2023
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 37461045
doi: 10.1186/s13073-023-01209-z
pii: 10.1186/s13073-023-01209-z
pmc: PMC10351197
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

52

Subventions

Organisme : NIDDK NIH HHS
ID : R01 DK117445
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65235
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65233
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK020541
Pays : United States
Organisme : NIMHD NIH HHS
ID : R01 MD012765
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES010126
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK130044
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65236
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65237
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65234
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Kaylia M Reynolds (KM)

Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
Department of Epidemiology, University of North Carolina, 123 W Franklin St, Suite 401, NC, NC 27516, Chapel Hill, USA.

Andrea R V R Horimoto (ARVR)

Department of Biostatistics, University of Washington, Seattle, WA, USA.

Bridget M Lin (BM)

Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.

Ying Zhang (Y)

Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.

Nuzulul Kurniansyah (N)

Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.

Bing Yu (B)

Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA.

Eric Boerwinkle (E)

Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA.

Qibin Qi (Q)

Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.

Robert Kaplan (R)

Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Martha Daviglus (M)

Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA.

Lifang Hou (L)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Laura Y Zhou (LY)

Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.

Jianwen Cai (J)

Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.

Saame Raza Shaikh (SR)

Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA.

Tamar Sofer (T)

Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.
Departments of Medicine and Biostatistics, Harvard University, Boston, MA, USA.

Sharon R Browning (SR)

Department of Biostatistics, University of Washington, Seattle, WA, USA.

Nora Franceschini (N)

Department of Epidemiology, University of North Carolina, 123 W Franklin St, Suite 401, NC, NC 27516, Chapel Hill, USA. noraf@unc.edu.

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