Multi-ancestry genome-wide association analyses: a comparison of meta- and mega-analyses in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study

Multi-ancestry genome-wide association analyses: a comparison of meta- and mega-analyses in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study

Abstract Background There is increasing need for effective incorporation of high-dimensional genetics data from individuals with varied ancestry in genome-wide association (GWAS) analyses. Classically, multi-ancestry GWAS analyses are performed using statistical meta-analysis to combine results cond...

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Bibliographic Details
Main Authors: Alan Kuang, Marie-France Hivert, M. Geoffrey Hayes, William L. Lowe, Denise M. Scholtens
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Genomics
Subjects:
Genome-wide association analysis
Multi-ancestry
Meta-analysis
Mega-analysis
Online Access:https://doi.org/10.1186/s12864-025-11229-1
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https://doi.org/10.1186/s12864-025-11229-1

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