Genome-wide Association Meta-analysis Identifies New Endometriosis Risk Loci

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Genome-wide Association Meta-analysis Identifies New Endometriosis Risk Loci

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Title: Genome-wide Association Meta-analysis Identifies New Endometriosis Risk Loci
Author: Nyholt, Dale R.; Low, Siew-Kee; Anderson, Carl A.; Painter, Jodie N.; Uno, Satoko; Morris, Andrew P.; MacGregor, Stuart; Gordon, Scott D.; Henders, Anjali K.; Martin, Nicholas G.; Attia, John; Holliday, Elizabeth G.; McEvoy, Mark; Scott, Rodney J.; Kennedy, Stephen M; Treloar, Susan A.; Missmer, Stacey Ann; Adachi, Sosuke; Tanaka, Kenichi; Nakamura, Yusuke; Zondervan, Krina T.; Zembutsu, Hitoshi; Montgomery, Grant W.

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Citation: Nyholt, Dale R., Siew-Kee Low, Carl A. Anderson, Jodie N. Painter, Satoko Uno, Andrew P. Morris, Stuart MacGregor, et al. 2012. Genome-wide association meta-analysis identifies new endometriosis risk loci. Nature Genetics 44(12): 1355-1359.
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Abstract: We conducted a genome-wide association (GWA) meta-analysis of 4,604 endometriosis cases and 9,393 controls of Japanese and European ancestry. We show that rs12700667 on chromosome 7p15.2, previously found in Europeans, replicates in Japanese \((P = 3.6 × 10^{−3})\), and confirm association of rs7521902 on 1p36.12 near WNT4. In addition, we establish association of rs13394619 in GREB1 on 2p25.1 and identify a novel locus on 12q22 near VEZT (rs10859871). Excluding European cases with minimal or unknown severity, we identified additional novel loci on 2p14 (rs4141819), 6p22.3 (rs7739264) and 9p21.3 (rs1537377). All seven SNP effects were replicated in an independent cohort and produced \(P < 5 × 10^{−8}\) in a combined analysis. Finally, we found a significant overlap in polygenic risk for endometriosis between the European and Japanese GWA cohorts \((P = 8.8 × 10^{−11})\), indicating that many weakly associated SNPs represent true endometriosis risk loci and risk prediction and future targeted disease therapy may be transferred across these populations.
Published Version: doi:10.1038/ng.2445
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