Large trans-ethnic meta-analysis identifies AKR1C4 as a novel gene associated with age at menarche

Does the expansion of genome-wide association studies (GWAS) to a broader range of ancestries improve the ability to identify and generalise variants associated with age at menarche (AAM) in European populations to a wider range of world populations? By including women with diverse and predominantly...

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Veröffentlicht in:Human reproduction (Oxford) 2021-06, Vol.36 (7), p.1999-2010
Hauptverfasser: Sarnowski, C, Cousminer, D L, Franceschini, N, Raffield, L M, Jia, G, Fernández-Rhodes, L, Grant, S F A, Hakonarson, H, Lange, L A, Long, J, Sofer, T, Tao, R, Wallace, R B, Wong, Q, Zirpoli, G, Boerwinkle, E, Bradfield, J P, Correa, A, Kooperberg, C L, North, K E, Palmer, J R, Zemel, B S, Zheng, W, Murabito, J M, Lunetta, K L
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Sprache:eng
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Zusammenfassung:Does the expansion of genome-wide association studies (GWAS) to a broader range of ancestries improve the ability to identify and generalise variants associated with age at menarche (AAM) in European populations to a wider range of world populations? By including women with diverse and predominantly non-European ancestry in a large-scale meta-analysis of AAM with half of the women being of African ancestry, we identified a new locus associated with AAM in African-ancestry participants, and generalised loci from GWAS of European ancestry individuals. AAM is a highly polygenic puberty trait associated with various diseases later in life. Both AAM and diseases associated with puberty timing vary by race or ethnicity. The majority of GWAS of AAM have been performed in European ancestry women. We analysed a total of 38 546 women who did not have predominantly European ancestry backgrounds: 25 149 women from seven studies from the ReproGen Consortium and 13 397 women from the UK Biobank. In addition, we used an independent sample of 5148 African-ancestry women from the Southern Community Cohort Study (SCCS) for replication. Each AAM GWAS was performed by study and ancestry or ethnic group using linear regression models adjusted for birth year and study-specific covariates. ReproGen and UK Biobank results were meta-analysed using an inverse variance-weighted average method. A trans-ethnic meta-analysis was also carried out to assess heterogeneity due to different ancestry. We observed consistent direction and effect sizes between our meta-analysis and the largest GWAS conducted in European or Asian ancestry women. We validated four AAM loci (1p31, 6q16, 6q22 and 9q31) with common genetic variants at P 
ISSN:0268-1161
1460-2350
1460-2350
DOI:10.1093/humrep/deab086