TY - JOUR
T1 - Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism
AU - Sapkota, Yadav
AU - Steinthorsdottir, Valgerdur
AU - Morris, Andrew P.
AU - Fassbender, Amelie
AU - Rahmioglu, Nilufer
AU - De Vivo, Immaculata
AU - Buring, Julie E.
AU - Zhang, Futao
AU - Edwards, Todd L.
AU - Jones, Sarah
AU - Dorien, O.
AU - Peterse, Daniëlle
AU - Rexrode, Kathryn M.
AU - Ridker, Paul M.
AU - Schork, Andrew J.
AU - MacGregor, Stuart
AU - Martin, Nicholas G.
AU - Becker, Christian M.
AU - Adachi, Sosuke
AU - Yoshihara, Kosuke
AU - Enomoto, Takayuki
AU - Takahashi, Atsushi
AU - Kamatani, Yoichiro
AU - Matsuda, Koichi
AU - Kubo, Michiaki
AU - Thorleifsson, Gudmar
AU - Geirsson, Reynir T.
AU - Thorsteinsdottir, Unnur
AU - Wallace, Leanne M.
AU - Werge, Thomas M.
AU - Thompson, Wesley K.
AU - Yang, Jian
AU - Velez Edwards, DIgna R.
AU - Nyegaard, Mette
AU - Low, Siew Kee
AU - Zondervan, Krina T.
AU - Missmer, Stacey A.
AU - D'Hooghe, Thomas
AU - Montgomery, Grant W.
AU - Chasman, Daniel I.
AU - Stefansson, Kari
AU - Tung, Joyce Y.
AU - Nyholt, Dale R.
N1 - Publisher Copyright:
© 2017 The Author(s).
PY - 2017/5/24
Y1 - 2017/5/24
N2 - 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.
AB - 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.
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U2 - 10.1038/ncomms15539
DO - 10.1038/ncomms15539
M3 - Article
C2 - 28537267
AN - SCOPUS:85019935832
SN - 2041-1723
VL - 8
JO - Nature communications
JF - Nature communications
M1 - 15539
ER -