Human genetics and epigenetics of alcohol use disorder.


Journal

The Journal of clinical investigation
ISSN: 1558-8238
Titre abrégé: J Clin Invest
Pays: United States
ID NLM: 7802877

Informations de publication

Date de publication:
15 Aug 2024
Historique:
medline: 15 8 2024
pubmed: 15 8 2024
entrez: 15 8 2024
Statut: epublish

Résumé

Alcohol use disorder (AUD) is a prominent contributor to global morbidity and mortality. Its complex etiology involves genetics, epigenetics, and environmental factors. We review progress in understanding the genetics and epigenetics of AUD, summarizing the key findings. Advancements in technology over the decades have elevated research from early candidate gene studies to present-day genome-wide scans, unveiling numerous genetic and epigenetic risk factors for AUD. The latest GWAS on more than one million participants identified more than 100 genetic variants, and the largest epigenome-wide association studies (EWAS) in blood and brain samples have revealed tissue-specific epigenetic changes. Downstream analyses revealed enriched pathways, genetic correlations with other traits, transcriptome-wide association in brain tissues, and drug-gene interactions for AUD. We also discuss limitations and future directions, including increasing the power of GWAS and EWAS studies as well as expanding the diversity of populations included in these analyses. Larger samples, novel technologies, and analytic approaches are essential; these include whole-genome sequencing, multiomics, single-cell sequencing, spatial transcriptomics, deep-learning prediction of variant function, and integrated methods for disease risk prediction.

Identifiants

pubmed: 39145449
pii: 172885
doi: 10.1172/JCI172885
doi:
pii:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Hang Zhou (H)

Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.
Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA.
Department of Biomedical Informatics and Data Science.
Center for Brain and Mind Health.

Joel Gelernter (J)

Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA.
Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA.
Department of Genetics, and.
Department of Neuroscience, Yale School of Medicine, New Haven, Connecticut, USA.

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Classifications MeSH