Genetic admixture predictors of fetal alcohol spectrum disorders (FASD) in a South African population.

Genetic admixture Genetics Prenatal alcohol exposure fetal alcohol spectrum disorders (FASD) fetal alcohol syndrome (FAS)

Journal

Gene
ISSN: 1879-0038
Titre abrégé: Gene
Pays: Netherlands
ID NLM: 7706761

Informations de publication

Date de publication:
13 Aug 2024
Historique:
received: 06 04 2024
revised: 17 07 2024
accepted: 12 08 2024
medline: 16 8 2024
pubmed: 16 8 2024
entrez: 15 8 2024
Statut: aheadofprint

Résumé

Ancestrally admixed populations are underrepresented in genetic studies of complex diseases, which are still dominated by European-descent populations. This is relevant not only from a representation standpoint but also because of admixed populations' unique features, including being enriched for rare variants, for which effect sizes are disproportionately larger than common polymorphisms. Furthermore, results from these populations may be generalizable to other populations. The South African Cape Coloured (SACC) population is genetically admixed, with one of the highest prevalences of fetal alcohol spectrum disorders (FASD) worldwide. We profiled its admixture and examined associations between ancestry profiles and FASD outcomes using two longitudinal birth cohorts (N=308 mothers, 280 children) designed to examine effects of prenatal alcohol exposure on development. Participants were genotyped via MEGA-ex array to capture common and rare variants. Rare variants were overrepresented in our SACC cohorts, with numerous polymorphisms being monomorphic in other reference populations (e.g., ∼30,000 and ∼ 221,000 variants in gnomAD European and Asian populations, respectively). The cohorts showed global African (51 %; Bantu and San); European (26 %; Northern/Western); South Asian (18 %); and East Asian (5 %; largely Southern regions) ancestries. The cohorts exhibited high rates of homozygosity (6 %), with regions of homozygosity harboring more deleterious variants when lying within African local-ancestry genomic segments. Both maternal and child ancestry profiles were associated with higher FASD risk, and maternal and child ancestry-by-prenatal alcohol exposure interaction effects were seen on child cognition. Our findings indicate that the SACC population may be a valuable asset to identify novel disease-associated genetic loci for FASD and other diseases.

Identifiants

pubmed: 39147113
pii: S0378-1119(24)00735-2
doi: 10.1016/j.gene.2024.148854
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

148854

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: [R. Colin Carter reports financial support was provided by National Institutes of Health. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper].

Auteurs

R Colin Carter (RC)

Departments of Emergency Medicine and Pediatrics and the Institute of Human Nutrition, Columbia University Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Department of Human Biology, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa. Electronic address: rcc2142@cumc.columbia.edu.

Zikun Yang (Z)

Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.

Tugba Akkaya-Hocagil (T)

Department of Biostatistics, School of Medicine, Ankara University, Ankara, Turkey; Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada.

Sandra W Jacobson (SW)

Department of Human Biology, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa; Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA; Department of Psychiatry and Mental Health, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa.

Joseph L Jacobson (JL)

Department of Human Biology, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa; Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA; Department of Psychiatry and Mental Health, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa.

Neil C Dodge (NC)

Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA.

H Eugene Hoyme (HE)

Sanford Children's Genomic Medicine Consortium, Sanford Health, and the University of South Dakota Sanford School of Medicine, Sioux Falls, SD, USA.

Steven H Zeisel (SH)

University of North Carolina Nutrition Research Institute, Kannapolis, NC, USA.

Ernesta M Meintjes (EM)

Department of Human Biology, University of Cape Town Faculty of Health Sciences, Cape Town, South Africa.

Caghan Kizil (C)

Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.

Giuseppe Tosto (G)

Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA. Electronic address: gt2260@cumc.columbia.edu.

Classifications MeSH