Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism.
Average rating
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item.
When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
Your vote was cast
Thank you for your feedback
Thank you for your feedback
Authors
Sapkota, YadavSteinthorsdottir, Valgerdur
Morris, Andrew P
Fassbender, Amelie
Rahmioglu, Nilufer
De Vivo, Immaculata
Buring, Julie E
Zhang, Futao
Edwards, Todd L
Jones, Sarah
O, Dorien
Peterse, Daniëlle
Rexrode, Kathryn M
Ridker, Paul M
Schork, Andrew J
MacGregor, Stuart
Martin, Nicholas G
Becker, Christian M
Adachi, Sosuke
Yoshihara, Kosuke
Enomoto, Takayuki
Takahashi, Atsushi
Kamatani, Yoichiro
Matsuda, Koichi
Kubo, Michiaki
Thorleifsson, Gudmar
Geirsson, Reynir T
Thorsteinsdottir, Unnur
Wallace, Leanne M
Yang, Jian
Velez Edwards, Digna R
Nyegaard, Mette
Low, Siew-Kee
Zondervan, Krina T
Missmer, Stacey A
D'Hooghe, Thomas
Montgomery, Grant W
Chasman, Daniel I
Stefansson, Kari
Tung, Joyce Y
Nyholt, Dale R
Issue Date
2017-05-24
Metadata
Show full item recordCitation
Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism. 2017, 8:15539 Nat CommunAbstract
Endometriosis is a heritable hormone-dependent gynecological disorder, associated with severe pelvic pain and reduced fertility; however, its molecular mechanisms remain largely unknown. Here we perform a meta-analysis of 11 genome-wide association case-control data sets, totalling 17,045 endometriosis cases and 191,596 controls. In addition to replicating previously reported loci, we identify five novel loci significantly associated with endometriosis risk (P<5 × 10(-8)), implicating genes involved in sex steroid hormone pathways (FN1, CCDC170, ESR1, SYNE1 and FSHB). Conditional analysis identified five secondary association signals, including two at the ESR1 locus, resulting in 19 independent single nucleotide polymorphisms (SNPs) robustly associated with endometriosis, which together explain up to 5.19% of variance in endometriosis. These results highlight novel variants in or near specific genes with important roles in sex steroid hormone signalling and function, and offer unique opportunities for more targeted functional research efforts.Description
To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked FilesAdditional Links
https://www.nature.com/articles/ncomms15539.pdfRights
Archived with thanks to Nature communicationsae974a485f413a2113503eed53cd6c53
10.1038/ncomms15539
Scopus Count
Collections
Related articles
- Genetic overlap analysis of endometriosis and asthma identifies shared loci implicating sex hormones and thyroid signalling pathways.
- Authors: Adewuyi EO, Mehta D, International Endogene Consortium (IEC) ., 23andMe Research Team ., Nyholt DR
- Issue date: 2022 Jan 28
- Genetic variation in the sex hormone metabolic pathway and endometriosis risk: an evaluation of candidate genes.
- Authors: Trabert B, Schwartz SM, Peters U, De Roos AJ, Chen C, Scholes D, Holt VL
- Issue date: 2011 Dec
- New variants near RHOJ and C2, HLA-DRA region and susceptibility to endometriosis in the Polish population-The genome-wide association study.
- Authors: Sobalska-Kwapis M, Smolarz B, Słomka M, Szaflik T, Kępka E, Kulig B, Siewierska-Górska A, Polak G, Romanowicz H, Strapagiel D, Szyłło K
- Issue date: 2017 Oct
- Replication and meta-analysis of previous genome-wide association studies confirm vezatin as the locus with the strongest evidence for association with endometriosis.
- Authors: Pagliardini L, Gentilini D, Sanchez AM, Candiani M, Viganò P, Di Blasio AM
- Issue date: 2015 Apr
- A genome-wide association meta-analysis of circulating sex hormone-binding globulin reveals multiple Loci implicated in sex steroid hormone regulation.
- Authors: Coviello AD, Haring R, Wellons M, Vaidya D, Lehtimäki T, Keildson S, Lunetta KL, He C, Fornage M, Lagou V, Mangino M, Onland-Moret NC, Chen B, Eriksson J, Garcia M, Liu YM, Koster A, Lohman K, Lyytikäinen LP, Petersen AK, Prescott J, Stolk L, Vandenput L, Wood AR, Zhuang WV, Ruokonen A, Hartikainen AL, Pouta A, Bandinelli S, Biffar R, Brabant G, Cox DG, Chen Y, Cummings S, Ferrucci L, Gunter MJ, Hankinson SE, Martikainen H, Hofman A, Homuth G, Illig T, Jansson JO, Johnson AD, Karasik D, Karlsson M, Kettunen J, Kiel DP, Kraft P, Liu J, Ljunggren Ö, Lorentzon M, Maggio M, Markus MR, Mellström D, Miljkovic I, Mirel D, Nelson S, Morin Papunen L, Peeters PH, Prokopenko I, Raffel L, Reincke M, Reiner AP, Rexrode K, Rivadeneira F, Schwartz SM, Siscovick D, Soranzo N, Stöckl D, Tworoger S, Uitterlinden AG, van Gils CH, Vasan RS, Wichmann HE, Zhai G, Bhasin S, Bidlingmaier M, Chanock SJ, De Vivo I, Harris TB, Hunter DJ, Kähönen M, Liu S, Ouyang P, Spector TD, van der Schouw YT, Viikari J, Wallaschofski H, McCarthy MI, Frayling TM, Murray A, Franks S, Järvelin MR, de Jong FH, Raitakari O, Teumer A, Ohlsson C, Murabito JM, Perry JR
- Issue date: 2012