Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism
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 endometrio...
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| Vydáno v: | Nature communications Ročník 8; číslo 1; s. 15539 - 12 |
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| Hlavní autoři: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
London
Nature Publishing Group UK
24.05.2017
Nature Publishing Group Nature Portfolio |
| Témata: | |
| ISSN: | 2041-1723, 2041-1723 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | 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.
Endometriosis is a major cause of infertility. Molecular mechanisms underlying the disease involve genetic and environmental risk factors. In a meta-analysis of eleven GWA studies, Sapkota and colleagues identify five novel risk loci, implicating steroid sex hormone pathways in the pathogenesis. |
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| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 These authors contributed equally to this work. A full list of consortium members appears at the end of the paper. |
| ISSN: | 2041-1723 2041-1723 |
| DOI: | 10.1038/ncomms15539 |