Associations between SLC16A11 variants and diabetes in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
29 01 2019
Historique:
received: 04 05 2018
accepted: 09 11 2018
entrez: 31 1 2019
pubmed: 31 1 2019
medline: 5 8 2020
Statut: epublish

Résumé

Five sequence variants in SLC16A11 (rs117767867, rs13342692, rs13342232, rs75418188, and rs75493593), which occur in two non-reference haplotypes, were recently shown to be associated with diabetes in Mexicans from the SIGMA consortium. We aimed to determine whether these previous findings would replicate in the HCHS/SOL Mexican origin group and whether genotypic effects were similar in other HCHS/SOL groups. We analyzed these five variants in 2492 diabetes cases and 5236 controls from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), which includes U.S. participants from six diverse background groups (Mainland groups: Mexican, Central American, and South American; and Caribbean groups: Puerto Rican, Cuban, and Dominican). We estimated the SNP-diabetes association in the six groups and in the combined sample. We found that the risk alleles occur in two non-reference haplotypes in HCHS/SOL, as in the SIGMA Mexicans. The haplotype frequencies were very similar between SIGMA Mexicans and the HCHS/SOL Mainland groups, but different in the Caribbean groups. The SLC16A11 sequence variants were significantly associated with risk for diabetes in the Mexican origin group (P = 0.025), replicating the SIGMA findings. However, these variants were not significantly associated with diabetes in a combined analysis of all groups, although the power to detect such effects was 85% (assuming homogeneity of effects among the groups). Additional analyses performed separately in each of the five non-Mexican origin groups were not significant. We also analyzed (1) exclusion of young controls and, (2) SNP by BMI interactions, but neither was significant in the HCHS/SOL data. The previously reported effects of SLC16A11 variants on diabetes in Mexican samples was replicated in a large Mexican-American sample, but these effects were not significant in five non-Mexican Hispanic/Latino groups sampled from U.S. populations. Lack of replication in the HCHS/SOL non-Mexicans, and in the entire HCHS/SOL sample combined may represent underlying genetic heterogeneity. These results indicate a need for future genetic research to consider heterogeneity of the Hispanic/Latino population in the assessment of disease risk, but add to the evidence suggesting SLC16A11 as a potential therapeutic target for type 2 diabetes.

Identifiants

pubmed: 30696834
doi: 10.1038/s41598-018-35707-7
pii: 10.1038/s41598-018-35707-7
pmc: PMC6351621
doi:

Substances chimiques

Monocarboxylic Acid Transporters 0
SLC16A11 protein, human 0

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

843

Subventions

Organisme : NHLBI NIH HHS
ID : HHSN268201300005C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201300001C
Pays : United States
Organisme : NHLBI NIH HHS
ID : R25 HL126146
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65236
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65234
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK101855
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK020541
Pays : United States
Organisme : NCRR NIH HHS
ID : M01 RR000032
Pays : United States
Organisme : NHLBI NIH HHS
ID : K01 HL130609
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK079626
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65235
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK063491
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65233
Pays : United States
Organisme : NHLBI NIH HHS
ID : K01 HL129892
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK111022
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65237
Pays : United States
Organisme : NCATS NIH HHS
ID : U54 TR000123
Pays : United States

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Auteurs

Bertha A Hidalgo (BA)

University of Alabama at Birmingham, Department of Epidemiology, Birmingham, Alabama, USA. bhidalgo@uab.edu.

Tamar Sofer (T)

Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Qibin Qi (Q)

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

Neil Schneiderman (N)

University of Miami, Department of Psychology and Behavioral Medicine Research Center, Miami, Florida, USA.

Y-D Ida Chen (YI)

Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Los Angeles, California, USA.

Robert C Kaplan (RC)

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

M Larissa Avilés-Santa (ML)

National Institutes of Health, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA.

Kari E North (KE)

University of Chapel Hill, Department of Epidemiology, Chapel Hill, North Carolina, USA.

Donna K Arnett (DK)

University of Kentucky, College of Public Health, Lexington, Kentucky, USA.

Adam Szpiro (A)

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

Jianwen Cai (J)

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

Bing Yu (B)

University of Texas, Health Science Center, Houston, Texas, USA.

Eric Boerwinkle (E)

University of Texas, Health Science Center, Houston, Texas, USA.

George Papanicolaou (G)

National Institutes of Health, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA.

Cathy C Laurie (CC)

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

Jerome I Rotter (JI)

Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Los Angeles, California, USA.

Adrienne M Stilp (AM)

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

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Classifications MeSH