Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism

Yadav Sapkota, Valgerdur Steinthorsdottir, Andrew P. Morris, Amelie Fassbender, Nilufer Rahmioglu, Immaculata De Vivo, Julie E. Buring, Futao Zhang, Todd L. Edwards, Sarah Jones, O. Dorien, Daniëlle Peterse, Kathryn M. Rexrode, Paul M. Ridker, Andrew J. Schork, Stuart MacGregor, Nicholas G. Martin, Christian M. Becker, Sosuke Adachi, Kosuke YoshiharaTakayuki Enomoto, Atsushi Takahashi, Yoichiro Kamatani, Koichi Matsuda, Michiaki Kubo, Gudmar Thorleifsson, Reynir T. Geirsson, Unnur Thorsteinsdottir, Leanne M. Wallace, Thomas M. Werge, Wesley K. Thompson, Jian Yang, DIgna R. Velez Edwards, Mette Nyegaard, Siew Kee Low, Krina T. Zondervan, Stacey A. Missmer, Thomas D'Hooghe, Grant W. Montgomery, Daniel I. Chasman, Kari Stefansson, Joyce Y. Tung, Dale R. Nyholt

Research output: Contribution to journalArticle

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Abstract

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.

Original languageEnglish
Article number15539
JournalNature Communications
Volume8
DOIs
Publication statusPublished - 24-05-2017

Fingerprint

hormone metabolisms
hormones
Endometriosis
loci
Metabolism
genes
Meta-Analysis
steroids
Genes
Gonadal Steroid Hormones
Hormones
fertility
pain
genome
polymorphism
nucleotides
Polymorphism
Nucleotides
Pelvic Pain
disorders

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Physics and Astronomy(all)

Cite this

Sapkota, Y., Steinthorsdottir, V., Morris, A. P., Fassbender, A., Rahmioglu, N., De Vivo, I., ... Nyholt, D. R. (2017). Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism. Nature Communications, 8, [15539]. https://doi.org/10.1038/ncomms15539
Sapkota, Yadav ; Steinthorsdottir, Valgerdur ; Morris, Andrew P. ; Fassbender, Amelie ; Rahmioglu, Nilufer ; De Vivo, Immaculata ; Buring, Julie E. ; Zhang, Futao ; Edwards, Todd L. ; Jones, Sarah ; Dorien, O. ; 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. ; Werge, Thomas M. ; Thompson, Wesley K. ; 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. / Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism. In: Nature Communications. 2017 ; Vol. 8.
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abstract = "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.",
author = "Yadav Sapkota and Valgerdur Steinthorsdottir and Morris, {Andrew P.} and Amelie Fassbender and Nilufer Rahmioglu and {De Vivo}, Immaculata and Buring, {Julie E.} and Futao Zhang and Edwards, {Todd L.} and Sarah Jones and O. Dorien and Dani{\"e}lle Peterse and Rexrode, {Kathryn M.} and Ridker, {Paul M.} and Schork, {Andrew J.} and Stuart MacGregor and Martin, {Nicholas G.} and Becker, {Christian M.} and Sosuke Adachi and Kosuke Yoshihara and Takayuki Enomoto and Atsushi Takahashi and Yoichiro Kamatani and Koichi Matsuda and Michiaki Kubo and Gudmar Thorleifsson and Geirsson, {Reynir T.} and Unnur Thorsteinsdottir and Wallace, {Leanne M.} and Werge, {Thomas M.} and Thompson, {Wesley K.} and Jian Yang and {Velez Edwards}, {DIgna R.} and Mette Nyegaard and Low, {Siew Kee} and Zondervan, {Krina T.} and Missmer, {Stacey A.} and Thomas D'Hooghe and Montgomery, {Grant W.} and Chasman, {Daniel I.} and Kari Stefansson and Tung, {Joyce Y.} and Nyholt, {Dale R.}",
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Sapkota, Y, Steinthorsdottir, V, Morris, AP, Fassbender, A, Rahmioglu, N, De Vivo, I, Buring, JE, Zhang, F, Edwards, TL, Jones, S, Dorien, O, Peterse, D, Rexrode, KM, Ridker, PM, Schork, AJ, MacGregor, S, Martin, NG, Becker, CM, Adachi, S, Yoshihara, K, Enomoto, T, Takahashi, A, Kamatani, Y, Matsuda, K, Kubo, M, Thorleifsson, G, Geirsson, RT, Thorsteinsdottir, U, Wallace, LM, Werge, TM, Thompson, WK, Yang, J, Velez Edwards, DIR, Nyegaard, M, Low, SK, Zondervan, KT, Missmer, SA, D'Hooghe, T, Montgomery, GW, Chasman, DI, Stefansson, K, Tung, JY & Nyholt, DR 2017, 'Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism', Nature Communications, vol. 8, 15539. https://doi.org/10.1038/ncomms15539

Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism. / Sapkota, Yadav; Steinthorsdottir, Valgerdur; Morris, Andrew P.; Fassbender, Amelie; Rahmioglu, Nilufer; De Vivo, Immaculata; Buring, Julie E.; Zhang, Futao; Edwards, Todd L.; Jones, Sarah; Dorien, O.; 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.; Werge, Thomas M.; Thompson, Wesley K.; 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.

In: Nature Communications, Vol. 8, 15539, 24.05.2017.

Research output: Contribution to journalArticle

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.

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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DO - 10.1038/ncomms15539

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