Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
08 Jul 2023
Historique:
medline: 18 7 2023
pubmed: 18 7 2023
entrez: 18 7 2023
Statut: epublish

Résumé

Limited ancestral diversity has impaired our ability to detect risk variants more prevalent in non-European ancestry groups in genome-wide association studies (GWAS). We constructed and analyzed a multi-ancestry GWAS dataset in the Alzheimer's Disease (AD) Genetics Consortium (ADGC) to test for novel shared and ancestry-specific AD susceptibility loci and evaluate underlying genetic architecture in 37,382 non-Hispanic White (NHW), 6,728 African American, 8,899 Hispanic (HIS), and 3,232 East Asian individuals, performing within-ancestry fixed-effects meta-analysis followed by a cross-ancestry random-effects meta-analysis. We identified 13 loci with cross-ancestry associations including known loci at/near

Identifiants

pubmed: 37461624
doi: 10.1101/2023.07.06.23292311
pmc: PMC10350126
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIA NIH HHS
ID : P30 AG066508
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG066518
Pays : United States
Organisme : NIA NIH HHS
ID : U19 AG074879
Pays : United States

Auteurs

Classifications MeSH