Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism
Open accessAbstract
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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TL;DR
This meta-analysis of 11 genome-wide association case-control datasets (17,045 endometriosis cases and 191,596 controls) replicated 9 of 11 previously reported European risk loci and identified five novel endometriosis loci implicating sex steroid hormone pathway genes. Conditional analysis yielded 19 independent SNPs at 14 loci, which together explained up to 5.19% of phenotypic variance in Grade B endometriosis.
Key findings
- The study replicated 9 of 11 previously reported European SNP risk loci; it did not confirm associations at 2q23.3 and 9p22.
- Five novel loci reached genome-wide significance: CCDC170 on 6q25.1 (rs1971256: OR=1.09, 95% CI 1.06–1.13; P=3.74×10−8), SYNE1 on 6q25.1 (rs71575922: OR=1.11, 95% CI 1.07–1.15; P=2.02×10−8), near FSHB on 11p14.1 (rs74485684: OR=1.11, 95% CI 1.07–1.15; P=2.00×10−8), FN1 on 2q35 (rs1250241: OR=1.23, 95% CI 1.15–1.30; P Grade B=2.99×10−9), and 7p12.3 (rs74491657: OR=1.46, 95% CI 1.28–1.59; P Grade B=2.24×10−8).
- Conditional analysis identified five secondary signals: rs77294520 near GREB1 on 2p25.1; rs2206949 in ESR1 and rs17803970 in SYNE1 on 6q25.1; and rs10757272 in CDKN2B-AS1 and rs1448792 on 9p21.3, giving 19 independent SNPs at 14 loci.
- The 9 previously reported SNPs explained 0.97% of liability-scale variance; the 10 new SNPs explained a further 0.78% in all cases (total 1.75%), while the 19 SNPs together explained 5.19% in Grade B endometriosis, of which 2.46% was from the 10 new SNPs.
Methods
- Meta-analysis of 11 GWA case-control datasets of European and Japanese ancestry, totalling 17,045 endometriosis cases and 191,596 controls (Results section reports 191,858 controls); ~93% of effective sample size was European and ~7% Japanese.
- Primary fixed-effect inverse-variance meta-analysis in METAL included 6,979,035 SNPs passing QC in at least 50% of studies; genome-wide significance was P<5×10−8. A secondary “Grade B” analysis excluded minimal/mild rAFS I/II cases from QIMRHCS, deCODE, LEUVEN, and OX cohorts.
- Follow-up analyses included GCTA approximate conditional analysis, VEGAS2 gene-based testing, Bayesian fine-mapping, GTEx eQTL lookups, SMR, DEPICT pathway analysis, and liability-threshold variance-explained estimation.
Limitations
- Stated: target genes in most regions remain unidentified and further functional studies are needed; DEPICT provided little support for genes, pathways, tissues, or cell types at FDR≤0.05; SMR showed significant heterogeneity for VEZT, suggesting possible colocalization that needs further investigation.
- Stated/evident: the sample is predominantly European (~93% of effective sample size), and only 6 of 19 SNPs showed significant association in Japanese-only analysis, although effect directions were concordant.
- Evident from text: some studies used self-reported endometriosis or mixed surgical/self-report diagnosis, and the authors note disease misclassification may contribute to smaller effect sizes; six loci showed between-study heterogeneity in the all-case fixed-effect meta-analysis.
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Claims the paper makes
0 of 68 cited sources checked · 0 supported · 0 flagged
- Findingown data
The 19 independent SNPs are robustly associated with endometriosis.
“resulting in 19 independent single nucleotide polymorphisms (SNPs) robustly associated with endometriosis, which together explain up to 5.19% of variance in endometriosis.”
Quote in the paperSubstantial claim - Findingcitation
The current meta-analysis represents an approximate five-fold increase in effective sample size compared with the previously largest multi-ethnic GWA meta-analysis of 4,604 endometriosis cases and 9,393 controls.
“the current meta-analysis represents an approximate five-fold increase in the effective sample size13 in comparison to the previously largest multi-ethnic GWA meta-analysis of 4,604 endometriosis cases and 9,393 controls from Australia, United Kingdom and Japan8.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [13] Willer, C. J., Li, Y. & Abecasis, G. R. METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics 26, 2190–2191 (2010). source
Not checked in the free run.
- cites [8] Nyholt, D. R. et al. Genome-wide association meta-analysis identifies new endometriosis risk loci. Nat. Genet. 44, 1355–1359 (2012). source
Not checked in the free run.
- Findingown data
Conditional analysis identified five secondary association signals, including two at the ESR1 locus.
“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”
Quote in the paperSubstantial claim - Findingown data
The meta-analysis identified five novel loci significantly associated with endometriosis risk at P<5 × 10−8.
“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).”
- Also stated in: § Risk loci associated with endometriosis · plain
“the meta-analysis identified five new genomic regions harbouring risk loci for endometriosis (Fig. 1 and Table 1).”
Quote in the paperSubstantial claim - Also stated in: § Risk loci associated with endometriosis · plain
- Findingown data
The 19 independent SNPs together explain up to 5.19% of variance in endometriosis.
“which together explain up to 5.19% of variance in endometriosis.”
Quote in the paperNot a substantial claim
- Findingown data
All nine previously reported loci produced larger effects (odds ratios) in Grade B analysis compared with analysis of all cases.
“Furthermore, all nine previously reported loci produced larger effects (odds ratios (ORs)) in Grade B analysis compared to the analysis of all cases—an observation consistent with previous reports of greater genetic loading in moderate-to-severe endometriosis.”
Quote in the paperNot a substantial claim - Findingown data
Except for the 6q25.1 (SYNE1) locus, the length of the 99% credible interval and the number of credible SNPs for all association signals were smaller in analysis including all studies compared with results restricted to only Europeans.
“Except for the 6q25.1 (SYNE1) locus, the length of the 99% credible interval and the number of credible SNPs for all association signals were smaller in analysis including all studies compared to the results restricted to only Europeans.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: A single causal variant underlies each association signal in the fine-mapping analysis.
- Findingcitation
The study confirms association near the KDR gene that was recently reported by the Icelandic GWA study.
“We confirm association near the kinase insert domain receptor (KDR) gene that was recently reported by the Icelandic GWA study9.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] Steinthorsdottir, V. et al. Common variants upstream of KDR encoding VEGFR2 and in TTC39B associate with endometriosis. Nat. Commun. 7, 12350 (2016). source
Not checked in the free run.
- Findingown data
The Grade B fixed-effect meta-analysis implicated rs1250241 in FN1 on 2q35 (OR=1.23, 95% CI 1.15-1.30; P=2.99 × 10−9) as genome-wide significantly associated with endometriosis risk.
“The ‘Grade B' fixed-effect meta-analysis implicated rs1250241 in FN1 on 2q35 (OR (95% CI)=1.23 (1.15–1.30); PGrade B=2.99 × 10−9)”
Quote in the paperSubstantial claim - Findingown data
All five loci except 2p14 produced larger effect sizes for surgically confirmed endometriosis than diagnosis based on self-reports.
“All five loci except 2p14 produced larger effect sizes for surgically confirmed endometriosis than diagnosis based on self-reports.”
Quote in the paperNot a substantial claim - Findingown data
SNP associations at loci on 1p36.12, 7p15.2 and 9p21.3 remained genome-wide significant in the Grade B secondary meta-analysis after excluding cases with known minimal or mild endometriosis.
“SNP associations at loci on 1p36.12, 7p15.2 and 9p21.3 remained genome-wide significant when secondary meta-analysis (‘Grade B') was performed after excluding cases with known minimal or mild (Grade A) endometriosis (rAFS I or II disease) (Table 1).”
Quote in the paperNot a substantial claim - Findingown data
When using results with evidence of genome-wide suggestive association (P<1 × 10−5) in either all or Grade B meta-analysis, DEPICT provided evidence for significant enrichment (FDR≤0.05) of COPB1 PPI subnetwork gene set.
“However, when using results with evidence of genome-wide suggestive association (P<1 × 10−5) in either all or Grade B meta-analysis, DEPICT provided evidence for significant enrichment (FDR≤0.05) of COPB1 PPI subnetwork gene set (Supplementary Data 16).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Pers, T. H. et al. Biological interpretation of genome-wide association studies using predicted gene functions. Nat. Commun. 6, 5890 (2015). source
Not checked in the free run.
- Findingown data
No overlap (LD r2<0.17) was found between the five breast cancer signals at 6q25.1 and the four independent SNPs at the 6q25.1 (ESR1) locus.
“We found no overlap (LD r2<0.17) between these five breast cancer signals and our four independent SNPs at the 6q25.1 (ESR1) locus.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Dunning, A. M. et al. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170. Nat. Genet. 48, 374–386 (2016). source
Not checked in the free run.
- Findingown data
The primary meta-analysis identified two SNPs at the ESR1 locus-rs1971256 in CCDC170 and rs71575922 in SYNE1-located up and downstream of ESR1, respectively.
“Our primary meta-analysis identified two SNPs at this locus—rs1971256 in CCDC170 and rs71575922 in SYNE1—located up and downstream of ESR1, respectively.”
Quote in the paperSubstantial claim - Findingown data
A genome-wide gene-based test using VEGAS2 identified 18 genes that reached the conservative gene-based threshold of P<2.23 × 10−6.
“A genome-wide gene-based test using VEGAS2 (ref. 28) identified 18 genes that reached our conservative gene-based threshold of P<2.23 × 10−6 (Supplementary Data 10)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] Mishra, A. & Macgregor, S. VEGAS2: Software for More Flexible Gene-Based Testing. Twin Res. Hum. Genet. 18, 86–91 (2015). source
Not checked in the free run.
- Findingown data
Of 101 SNPs with genome-wide significance for overall breast cancer, 23 also showed associations (P<0.05) with endometriosis.
“Of these, 23 SNPs also showed associations (P<0.05) with endometriosis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Dunning, A. M. et al. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170. Nat. Genet. 48, 374–386 (2016). source
Not checked in the free run.
- Findingown data
Strong significant associations (FDR<0.05) were found between a SNP and expression of nearby genes in subcutaneous adipose tissues.
“We found strong significant associations (false discovery rate (FDR)<0.05) between a SNP and expression of nearby genes in subcutaneous adipose tissues (Supplementary Data 13).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Consortium, G. T. Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans. Science 348, 648–660 (2015). source
Not checked in the free run.
- Findingown data
There was no linkage disequilibrium or very low LD (r2<0.03) between the index SNPs and the five secondary association signals on 2p25.1, 6q25.1 and 9p21.3 in both European and Japanese populations.
“Furthermore, there was no linkage disequilibrium (LD) or very low LD (r2<0.03) between the index SNPs and the five secondary association signals on 2p25.1, 6q25.1 and 9p21.3 in both European and Japanese populations (Supplementary Data 5), suggesting that the results are not influenced by differences in LD patterns across European and Japanese populations.”
Quote in the paperSubstantial claim - Findingown data
Except for 2p14 and 4q12, the heterogeneity attenuated in moderate-to-severe endometriosis cases.
“However, except for 2p14 and 4q12, this heterogeneity attenuated in moderate-to-severe endometriosis cases (Supplementary Data 2).”
Quote in the paperNot a substantial claim - Findingown data
No statistically significant genetic correlation was observed between endometriosis and 199 common complex traits based on LD score regression analysis using LD hub.
“We did not observe statistically significant genetic correlation between endometriosis and 199 common complex traits, based on LD score regression analysis25 using LD hub26.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [25] Bulik-Sullivan, B. K. et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat. Genet. 47, 291–295 (2015). source
Not checked in the free run.
- cites [26] Zheng, J. et al. LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis. Bioinformatics 33, 272–279 (2016). source
Not checked in the free run.
- Findingown data
The Grade B fixed-effect meta-analysis implicated rs74491657 on 7p12.3 (OR=1.46, 95% CI 1.28-1.59; P=2.24 × 10−8) as genome-wide significantly associated with endometriosis risk.
“and rs74491657 on 7p12.3 (OR (95% CI)=1.46 (1.28–1.59); PGrade B=2.24 × 10−8) as genome-wide significantly associated with endometriosis risk (Table 1).”
Quote in the paperSubstantial claim - Findingown data
For surgically confirmed endometriosis, all but two SNPs (rs2206949 on 6q25.1 and rs10757272 on 9p21.3) showed significant association with endometriosis.
“For surgically confirmed endometriosis, all but two SNPs (rs2206949 on 6q25.1 and rs10757272 on 9p21.3) showed significant association with endometriosis (P<2.6 × 10−3 after multiple testing).”
Quote in the paperNot a substantial claim - Findingown data
None of the six loci showed between-study heterogeneity in analyses restricted to Japanese alone and self-reported endometriosis cases.
“None of the six loci showed between-study heterogeneity in analyses restricted to Japanese alone and self-reported endometriosis cases (Supplementary Data 6).”
Quote in the paperNot a substantial claim - Findingown data
In the All fixed-effect meta-analysis, genome-wide significant evidence was observed for a risk locus in SYNE1 on 6q25.1 (rs71575922: OR=1.11, 95% CI 1.07-1.15; P=2.02 × 10−8).
“in SYNE1 on 6q25.1 (rs71575922: OR (95% CI)=1.11 (1.07–1.15); Pall=2.02 × 10−8)”
Quote in the paperSubstantial claim - Findingown data
Except for near region-wide significance for rs17803970 on 6q25.1 and rs10757272 on 9p21.3, the remaining three secondary association signals persisted with region-wide significance when analysis was restricted to European studies only.
“Except for near region-wide significance for rs17803970 on 6q25.1 (SYNE1; P=4.59 × 10−6) and for rs10757272 on 9p21.3 (CDKN2B-AS1; P=1.40 × 10−5), the remaining three secondary association signals persisted with region-wide significance when analysis was restricted to Europeans studies only (Supplementary Data 4).”
Quote in the paperNot a substantial claim - Findingown data
SMR analysis identified two potential causal genes, CDC42 (rs2268177; PSMR=1.07 × 10−12) and VEZT (rs14121; PSMR=3.41 × 10−6), underlying endometriosis loci at 1p36.12 and 12q22, respectively.
“The SMR analysis identified two potential causal genes, CDC42 (rs2268177; PSMR=1.07 × 10−12) and VEZT (rs14121; PSMR=3.41 × 10−6), underlying endometriosis loci at 1p36.12 and 12q22, respectively (Supplementary Data 14).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [30] Zhu, Z. et al. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. Nat. Genet. 48, 481–487 (2016). source
Not checked in the free run.
- cites [31] Westra, H. J. et al. Systematic identification of trans eQTLs as putative drivers of known disease associations. Nat. Genet. 45, 1238–1243 (2013). source
Not checked in the free run.
- Rests on an assumption: The genetic variants used as instruments in SMR affect endometriosis risk only through gene expression (no horizontal pleiotropy).
- Findingown data
A total of 391 SNPs reached conventional genome-wide significance (P<5 × 10−8) in the primary GWA meta-analysis.
“A total of 391 SNPs reached conventional genome-wide significance (P<5 × 10−8) and their association summary results are provided in Supplementary Data 2.”
Quote in the paperNot a substantial claim - Findingown data
Suggestive evidence for enrichment (FDR≤0.2) was observed for ten tissues, including female genitalia, uterus, endocrine glands, endometrium, ovary and Fallopian tubes.
“Additionally, suggestive evidence for enrichment (FDR≤0.2) was observed for ten tissues, including female genitalia, uterus, endocrine glands, endometrium, ovary and Fallopian tubes (Supplementary Data 16).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Pers, T. H. et al. Biological interpretation of genome-wide association studies using predicted gene functions. Nat. Commun. 6, 5890 (2015). source
Not checked in the free run.
- Findingown data
Most SNPs showed larger effect sizes in Japanese populations compared with results from Europeans alone.
“Most SNPs showed larger effect sizes in Japanese populations in comparison with results from Europeans alone (Supplementary Data 6).”
Quote in the paperNot a substantial claim - Findingown data
In the All fixed-effect meta-analysis, genome-wide significant evidence was observed for a risk locus in CCDC170 on 6q25.1 (rs1971256: OR=1.09, 95% CI 1.06-1.13; P=3.74 × 10−8).
“In the ‘All' fixed-effect meta-analysis, we observed genome-wide significant evidence for risk loci in CCDC170 on 6q25.1 (rs1971256: OR (95% confidence interval (CI))=1.09 (1.06–1.13); Pall=3.74 × 10−8)”
Quote in the paperSubstantial claim - Findingown data
The remaining six gene-based genome-wide significant association signals were at three novel genomic regions 1q24.3 (DNM3OS, MIR214 and MIR3120), 9q22.32 (MIR23B, MIR27B) and 16p13.3 (LINC00921).
“Notably, the remaining six gene-based genome-wide significant association signals were at three novel genomic regions 1q24.3 (DNM3OS, MIR214 and MIR3120), 9q22.32 (MIR23B, MIR27B) and 16p13.3 (LINC00921).”
Quote in the paperSubstantial claim - Findingown data
DEPICT analysis provided little support for potential genes, pathways, tissues or cell types reaching multiple testing threshold (FDR≤0.05).
“DEPICT32 analysis provided little support for potential genes, pathways, tissues or cell types reaching multiple testing threshold (FDR≤0.05).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Pers, T. H. et al. Biological interpretation of genome-wide association studies using predicted gene functions. Nat. Commun. 6, 5890 (2015). source
Not checked in the free run.
- Findingown data
The secondary endometriosis risk SNP rs2206949 was also strongly associated with overall breast cancer (P=5.5 × 10−6).
“The secondary endometriosis risk SNP rs2206949 was also strongly associated with overall breast cancer (P=5.5 × 10−6).”
Quote in the paperSubstantial claim - Findingown data
Risk allele (G) of rs56376645 on 7p15.2, associated with endometriosis at genome-wide significance (OR=1.09, 95% CI 1.06-1.12; P=1.93 × 10−8), also showed strong associations (beta=0.38; P=1.44 × 10−7; FDR=1.28 × 10−3) with increased expression of AC003090.1.
“Risk allele (G) of rs56376645 on 7p15.2 which is associated with endometriosis at genome-wide significance (OR (95% CI)=1.09 (1.06–1.12); Pall=1.93 × 10−8) also showed strong associations (beta=0.38; P=1.44 × 10−7; FDR=1.28 × 10−3) with increased expression of AC003090.1 (Supplementary Fig. 45).”
Quote in the paperSubstantial claim - Findingown data
rs77294520 on 2p25.1 also remained significant in Grade B analyses with a larger effect.
“Of these, rs77294520 on 2p25.1 also remained significant in Grade B analyses with a larger effect (OR).”
Quote in the paperNot a substantial claim - Findingown data
In the All fixed-effect meta-analysis, genome-wide significant evidence was observed for a risk locus near FSHB on 11p14.1 (rs74485684: OR=1.11, 95% CI 1.07-1.15; P=2.00 × 10−8).
“and near FSHB on 11p14.1 (rs74485684: OR (95% CI)=1.11 (1.07–1.15); Pall=2.00 × 10−8).”
Quote in the paperSubstantial claim - Findingown data
This GWA meta-analysis of endometriosis provides evidence for 10 new independent SNP loci.
“this GWA meta-analysis of endometriosis provides evidence for 10 new independent SNP loci”
Quote in the paperSubstantial claim - Findingown data
The association signal at 11p14.1 includes an LD region beginning upstream of FSHB and extending across to ARL14EP.
“The association signal includes an LD region beginning upstream of FSHB and extending across to ARL14EP.”
Quote in the paperSubstantial claim - Findingown data
The study's results provide strong evidence for multiple association signals on chromosome 9p21.3 containing ANRIL.
“Our results provide strong evidence for multiple association signals on chromosome 9p21.3 containing ANRIL (antisense non-coding RNA in the INK4 locus, also known as CDKN2B-AS1).”
Quote in the paperSubstantial claim - Findingown data
The results more than double the proportion of genetic variation in endometriosis explained by robust SNP risk loci.
“more than doubles the proportion of genetic variation in endometriosis explained by robust SNP risk loci”
Quote in the paperSubstantial claim- The authors state this as an assumption: The associated SNPs are not in high LD with one another.
- Findingown data
The strongest signal at 11p14.1 was for SNP rs74485684 (risk allele T, RAF=0.84, OR=1.11) located 10,276 bp upstream of the transcription start site of FSHB.
“The strongest signal was for SNP rs74485684 (risk allele T, RAF=0.84, OR=1.11) located 10,276 bp upstream of the transcription start site of FSHB.”
Quote in the paperSubstantial claim - Findingown data
Conditional analysis identified a further two independent associations at the ESR1 locus, including rs2206949 in ESR1 and rs17803970 in SYNE1.
“Conditional analysis identified a further two independent associations at this locus, including rs2206949 in ESR1 and rs17803970 in SYNE1.”
Quote in the paperSubstantial claim - Findingcitation
The majority of the identified SNP loci showed larger effects in the Grade B analysis than in the analysis of all endometriosis.
“The majority of the identified SNP loci showed larger effects in the Grade B analysis in comparison with those based on analysis of all endometriosis, supporting previous findings of greater genetic loading in moderate-to-severe endometriosis7857.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [7] Painter, J. N. et al. Genome-wide association study identifies a locus at 7p15.2 associated with endometriosis. Nat. Genet. 43, 51–54 (2010). source
Not checked in the free run.
- cites [57] Sapkota, Y. et al. Genetic burden associated with varying degrees of disease severity in endometriosis. Mol. Hum. Reprod. 21, 594–602 (2015). source
Not checked in the free run.
- Findingown data
Of the four independent endometriosis SNPs at the 6q25.1 locus, the association signal for rs2206949 in intron 2 of ESR1 overlaps with the signal observed for overall breast cancer.
“Of the four independent endometriosis SNPs at this locus, the association signal for rs2206949 in intron 2 of ESR1 overlaps with the signal observed for overall breast cancer.”
Quote in the paperSubstantial claim - Findingown data
The results provide further support for association at the 2p25.1 locus, containing the oestrogen-regulated gene GREB1.
“Our results provide further support for association at the 2p25.1 locus, containing an oestrogen-regulated gene, GREB1, that was first identified in breast cancer cell lines and tumours49.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [49] Ghosh, M. G., Thompson, D. A. & Weigel, R. J. PDZK1 and GREB1 are estrogen-regulated genes expressed in hormone-responsive breast cancer. Cancer Res. 60, 6367–6375 (2000).
Not checked in the free run.
- Interpretationown data
The five novel endometriosis risk loci implicate genes involved in sex steroid hormone pathways: FN1, CCDC170, ESR1, SYNE1 and FSHB.
“implicating genes involved in sex steroid hormone pathways (FN1, CCDC170, ESR1, SYNE1 and FSHB).”
Quote in the paperSubstantial claim - Premisecitation
GWA studies have identified 11 independent SNPs for endometriosis.
“Genome-wide association (GWA) studies have identified 11 independent single-nucleotide polymorphisms (SNPs) for endometriosis.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [5] Uno, S. et al. A genome-wide association study identifies genetic variants in the CDKN2BAS locus associated with endometriosis in Japanese. Nat. Genet. 42, 707–710 (2010). source
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- cites [6] Albertsen, H. M., Chettier, R., Farrington, P. & Ward, K. Genome-wide association study link novel loci to endometriosis. PLoS ONE 8, e58257 (2013). source
Not checked in the free run.
- cites [7] Painter, J. N. et al. Genome-wide association study identifies a locus at 7p15.2 associated with endometriosis. Nat. Genet. 43, 51–54 (2010). source
Not checked in the free run.
- Study design and conductcitation
All cases in the QIMRHCS, OX, deCODE and LEUVEN studies have surgically confirmed endometriosis and disease stage from surgical records using the revised American Fertility Society classification system.
“All cases in the QIMRHCS, OX, deCODE and LEUVEN studies have surgically confirmed endometriosis and disease stage from surgical records using the revised American Fertility Society (rAFS) classification system16; women were grouped into Grade A (rAFS I or II disease or some ovarian disease with a few adhesions), Grade B (rAFS III or IV disease) or unknown stage as described previously7.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [16] Revised American Society for Reproductive Medicine classification of endometriosis: 1996. Fertil. Steril. 67, 817–821 (1997). source
Not checked in the free run.
- cites [7] Painter, J. N. et al. Genome-wide association study identifies a locus at 7p15.2 associated with endometriosis. Nat. Genet. 43, 51–54 (2010). source
Not checked in the free run.
- Interpretationown data
The results highlight novel variants in or near specific genes with important roles in sex steroid hormone signalling and function.
“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.”
Quote in the paperSubstantial claim - Premisecitation
Endometriosis is an oestrogen-dependent disease.
“Endometriosis is an oestrogen-dependent disease.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [41] Bulun, S. E. et al. Role of estrogen receptor-beta in endometriosis. Semin. Reprod. Med. 30, 39–45 (2012). source
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- cites [42] Burney, R. O. & Giudice, L. C. Pathogenesis and pathophysiology of endometriosis. Fertil. Steril. 98, 511–519 (2012). source
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- Study design and conductown data
The genomic inflation factor (λ) for the GWA meta-analysis was 1.12.
“The genomic inflation factor (λ) for the GWA meta-analysis was 1.12.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The results highlight key genes involved in hormone metabolism that are likely to play a major role in endometriosis pathogenesis.
“Importantly, our results highlight key genes involved in hormone metabolism that are likely to play a major role in endometriosis pathogenesis, thereby advancing current knowledge of endometriosis biology.”
Quote in the paperSubstantial claim - Premisecitation
Polygenic prediction analysis showed significant prediction of minimal disease between two independent data sets with surgically confirmed endometriosis.
“Using polygenic prediction analysis, we also showed significant prediction of minimal disease between two independent data sets with surgically confirmed endometriosis57.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [57] Sapkota, Y. et al. Genetic burden associated with varying degrees of disease severity in endometriosis. Mol. Hum. Reprod. 21, 594–602 (2015). source
Not checked in the free run.
- Premisecitation
Compared with the conventional random-effects model, the RE2 model offers greater power under heterogeneity.
“Compared to the conventional random-effects model, the RE2 model offers greater power under heterogeneity.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17] Han, B. & Eskin, E. Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies. Am. J. Hum. Genet. 88, 586–598 (2011). source
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- Premisecitation
Nominal evidence for association between endometriosis and SNPs upstream of FSHB was recently reported in independent samples from the UK Biobank, providing strong support for this result.
“Nominal evidence for association between endometriosis and SNPs upstream of FSHB was recently reported in independent samples from the UK Biobank providing strong support for this result45.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [45] Ruth, K. S. et al. Genetic evidence that lower circulating FSH levels lengthen menstrual cycle, increase age at menopause and impact female reproductive health. Hum. Reprod. 31, 473–481 (2016). source
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- Interpretationown data
The results identify novel variants in or near specific genes with important roles in sex steroid hormone signalling and function.
“These results identify novel variants in or near specific genes with important roles in sex steroid hormone signalling and function”
Quote in the paperSubstantial claim - Premisecitation
GREB1 functions as an essential component of the oestrogen receptor transcription complex.
“Moreover, GREB1 functions as an essential component of the oestrogen receptor transcription complex52”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52] Mohammed, H. et al. Endogenous purification reveals GREB1 as a key estrogen receptor regulatory factor. Cell Rep. 3, 342–349 (2013). source
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- Interpretationreasoning
The chromosome 9p21.3 associations are independent endometriosis-specific risk loci.
“suggesting that these associations are independent endometriosis-specific risk loci”
Quote in the paperSubstantial claim - Premisecitation
The genetic loading (liability) of moderate-to-severe (Grade B) endometriosis is greater than that of minimal or mild (Grade A) endometriosis.
“Considering the relatively greater genetic loading (liability) of moderate-to-severe (Grade B) endometriosis (rAFS stage III or IV disease) compared to minimal or mild (Grade A) endometriosis (rAFS stage I or II disease or limited ovarian involvement)7857”
- Also stated in: § Discussion · boosted
“We have previously shown that the genetic contribution to phenotypes of surgically confirmed endometriosis or minimal disease is weaker than for severe disease phenotypes757.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [7] Painter, J. N. et al. Genome-wide association study identifies a locus at 7p15.2 associated with endometriosis. Nat. Genet. 43, 51–54 (2010). source
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- cites [57] Sapkota, Y. et al. Genetic burden associated with varying degrees of disease severity in endometriosis. Mol. Hum. Reprod. 21, 594–602 (2015). source
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- Also stated in: § Discussion · boosted
- Premisecitation
The index SNP rs74485684 is in high LD with other SNPs located upstream of FSHB, including rs11031005 (r2=0.82) associated with FSH concentrations and rs11031002 (r2=0.64) associated with LH concentrations.
“Our index SNP rs74485684 is in high LD with other SNPs located in this region upstream of FSHB including rs11031005 (r2=0.82) associated with FSH concentrations and rs11031002 (r2=0.64) associated with LH concentrations24.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Ruth, K. S. et al. Genome-wide association study with 1000 genomes imputation identifies signals for nine sex hormone-related phenotypes. Eur. J. Hum. Genet. 24, 284–290 (2016). source
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- Interpretationown data
The results support a role for a functional effect associated with endometriosis on chromosome 11p14.1.
“Our results support a role for a functional effect associated with endometriosis on chromosome 11p14.1.”
Quote in the paperSubstantial claim - Interpretationreasoning
The association between SNPs on chromosome 11 and concentrations of both FSH and LH suggests a common mechanism of regulation.
“The LH beta subunit is located on chromosome 19q13.32 and association between these SNPs on chromosome 11 with concentrations for both hormones suggests a common mechanism of regulation.”
Quote in the paperNot a substantial claim
- May combine two claims. 34
- Classified as probably not a substantial claim. 17
May combine two claims.
Findingown dataOf the 11 previously reported European SNP risk loci, nine reached genome-wide significance in the present study; associations at 2q23.3 and 9p22 were not confirmed.
“Of the 11 previously reported European SNP risk loci, nine reached genome-wide significance (P<5 × 10−8) in the present study (Fig. 1 and Table 1); we did not confirm associations at 2q23.3 and 9p22.”
- Also stated in: § Abstract · plain
“In addition to replicating 9 of the 11 previously reported European risk loci, this GWA meta-analysis identified 5 novel loci significantly associated with endometriosis risk (P<5 × 10−8)”
Quote in the paperSubstantial claim- Also stated in: § Abstract · plain
May combine two claims.
Findingown dataThe risk allele of six SNPs was the same for both breast cancer and endometriosis, including four SNPs in strong LD (r2≥0.60) with the secondary association signal rs2206949 at 6q25.1 (ESR1).
“The risk allele of six SNPs was the same for both breast cancer and endometriosis, including four SNPs (rs851981, rs851980, rs2206948 and rs150182883) that are in strong LD (r2≥0.60) with our secondary association signal rs2206949 at 6q25.1 (ESR1).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe 19 independent SNPs together explained 5.19% of phenotypic variance in Grade B endometriosis cases, of which 2.46% was explained by the 10 new SNPs.
“More importantly, the 19 independent SNPs together explained 5.19% of the phenotypic variance in Grade B endometriosis cases, of which 2.46% was explained by the 10 new SNPs.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataBased on results from all studies, the smallest 99% credible interval was ∼16.52 kb observed for rs11674184 on 2p25.1 and the largest was ∼604.80 kb for the 6q25.1 (SYNE1).
“Based on results from all studies, the smallest 99% credible interval was ∼16.52 kb observed for rs11674184 on 2p25.1 and the largest was ∼604.80 kb for the 6q25.1 (SYNE1).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: A single causal variant underlies each association signal in the fine-mapping analysis.
May combine two claims.
Findingown dataIn Europeans, five loci (2p14, 2q35, 4q12, 6q25.1 (SYNE1) and 7p15.2) showed heterogeneity in allelic associations, and except for 6q25.1 (SYNE1), this trend persisted in surgically confirmed endometriosis cases.
“In Europeans, five loci (2p14, 2q35, 4q12, 6q25.1 (SYNE1) and 7p15.2) showed heterogeneity in allelic associations, and except for 6q25.1 (SYNE1), this trend persisted in surgically confirmed endometriosis cases.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAll 19 SNPs showed significant associations with endometriosis in Europeans; only six SNPs showed significance in Japanese alone; direction of effects for all SNPs was concordant with the meta-analysis.
“Whereas all 19 SNPs showed significant associations with endometriosis (P<2.6 × 10−3 after multiple testing) in Europeans, only six SNPs showed significance in Japanese alone, although importantly, direction of effects for all SNPs were concordant with those produced in the meta-analysis.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOf the 19 SNPs and high-LD proxies, associations were observed with multiple diseases or traits, including epithelial ovarian cancer, low-density lipoprotein cholesterol, coronary heart disease, luteinizing hormone and follicle-stimulating hormone levels, and age at onset for menopause.
“Of these, we observed associations with multiple diseases or traits, including epithelial ovarian cancer21, low-density lipoprotein cholesterol22, coronary heart disease23, luteinizing hormone and follicle-stimulating hormone levels, and age at onset for menopause24.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [21] Pearce, C. L. et al. Association between endometriosis and risk of histological subtypes of ovarian cancer: a pooled analysis of case-control studies. Lancet Oncol. 13, 385–394 (2012). source
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- cites [22] Global Lipids Genetics, C.. et al. Discovery and refinement of loci associated with lipid levels. Nat. Genet. 45, 1274–1283 (2013). source
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- cites [23] Lu, X. et al. Genome-wide association study in Han Chinese identifies four new susceptibility loci for coronary artery disease. Nat. Genet. 44, 890–894 (2012). source
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May combine two claims.
Findingown dataOf the 18 genes, 12 are located at six GWA SNP risk loci including 1p36.12 (WNT4, LINC00339, LOC101928043 and CDC42), 2p25.1 (GREB1), 2q13 (IL1A and CKAP2L), 7p15.2 (RNU6-16P), 9p21.3 (CDKN2A) and 12q22 (MIR331, MIR3685 and VEZT).
“Of these, 12 genes are located at six GWA SNP risk loci including 1p36.12 (WNT4, LINC00339, LOC101928043 and CDC42), 2p25.1 (GREB1), 2q13 (IL1A and CKAP2L), 7p15.2 (RNU6-16P), 9p21.3 (CDKN2A) and 12q22 (MIR331, MIR3685 and VEZT).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThese data implicate 19 independent SNPs at 14 distinct genomic loci, including four on 6q25.1.
“Taken together, these data implicate 19 independent SNPs at 14 distinct genomic loci, including four on 6q25.1—a locus containing a cluster of genes including ESR1.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAssociations at the 6q25.1 CCDC170 and SYNE1 loci remained genome-wide significant in the Grade B analysis, with larger effects for the risk allele compared with all endometriosis cases.
“Associations at the 6q25.1 CCDC170 and SYNE1 loci remained genome-wide significant in the ‘Grade B' analysis, with larger effects (ORs) for the risk allele in comparison to those based on analysis of all endometriosis cases (Table 1).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGCTA conditional analysis identified five secondary signals: rs77294520 near GREB1 on 2p25.1; rs2206949 in ESR1 and rs17803970 in SYNE1 on 6q25.1; and rs10757272 in CDKN2B-AS1 and rs1448792 on 9p21.3.
“GCTA identified five secondary signals including one (rs77294520 near GREB1) on 2p25.1; two (rs2206949 in ESR1 and rs17803970 in SYNE1) on 6q25.1, and two (rs10757272 in CDKN2B-AS1 and rs1448792) on 9p21.3 (Table 2).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Yang, J., Lee, S. H., Goddard, M. E. & Visscher, P. M. GCTA: a tool for genome-wide complex trait analysis. Am. J. Hum. Genet. 88, 76–82 (2011). source
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Findingown dataThe nine previously reported SNPs explain 0.97% of phenotypic variance on the liability scale; the 10 new SNPs explain a further 0.78%, totalling 1.75% of phenotypic variance explained for endometriosis.
“On the basis of the fixed-effect GWA meta-analysis results including all endometriosis cases from European studies, the nine previously reported SNPs explain 0.97% of the phenotypic variance on the liability scale19. The 10 new SNPs identified in this study together explain a further 0.78%, totalling to 1.75% of the phenotypic variance explained for endometriosis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] Risch, N. J. Searching for genetic determinants in the new millennium. Nature 405, 847–856 (2000). source
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Findingown dataOf the 14 distinct loci, 6 showed evidence of between-study heterogeneity in fixed-effect meta-analysis including all endometriosis cases; after modelling the observed heterogeneity in the RE2 model, these associations remained genome-wide significant.
“Of the 14 distinct loci, 6 (2p14, 2q35, 4q12, 6q25.1 (SYNE1), 7p15.2 and 12q22) showed evidence of between-study heterogeneity (Phet<0.05; I2: 13.30–20.33) in fixed-effect meta-analysis including all endometriosis cases; however, after appropriately modelling the observed heterogeneity in the RE2 model, these associations remained genome-wide significant (Supplementary Data 2).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The RE2 model's assumption of no heterogeneity under the null hypothesis of no association holds.
May combine two claims.
Findingnone givenSNP rs17761446 is monomorphic in Europeans and is in weak LD (r2<0.16) in Japanese with the SNPs implicated in the current study.
“SNP rs17761446 is monomorphic in Europeans and is also in weak LD (r2<0.16) in Japanese with the SNPs implicated in the current study”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataResults from the current study provide genome-wide evidence for the FN1 locus in Grade B endometriosis, thereby highlighting the importance of subgroup analysis and phenotype definition.
“Results from the current study provide genome-wide evidence for the FN1 locus in Grade B endometriosis, thereby highlighting the importance of subgroup analysis and phenotype definition.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThis study robustly associated the FN1 locus with endometriosis, in particular with moderate-to-severe disease.
“This study robustly associated the FN1 locus with endometriosis, in particular with moderate-to-severe disease.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn addition to confirming the previously identified association signal at the 2p25.1 locus, the results provide evidence for secondary association with risk of endometriosis.
“In addition to confirming the previously identified association signal at this locus, our results provide evidence for secondary association with risk of endometriosis.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationOf the 11 European SNP risk loci, eight SNPs have been replicated and robustly implicated as susceptibility loci for endometriosis, with exceptions rs1519761, rs17773813 and rs519664.
“Of the 11 European SNP risk loci, eight SNPs have been replicated and robustly implicated as susceptibility loci for endometriosis1012, the exceptions being rs1519761 (2q23.3), rs17773813 (4q12) and rs519664 (TTC39B) that are yet to be examined in an independent study.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1012]
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationEndometriosis has an estimated total heritability of 0.47-0.51 based on twin studies and a common SNP-based heritability of 0.26.
“The condition has an estimated total heritability of 0.47–0.51 based on twin studies13, and a common SNP-based heritability of 0.26 (ref. 4).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [13] Willer, C. J., Li, Y. & Abecasis, G. R. METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics 26, 2190–2191 (2010). source
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- cites [4] Lee, S. H. et al. Estimation and partitioning of polygenic variation captured by common SNPs for Alzheimer's disease, multiple sclerosis and endometriosis. Hum. Mol. Genet. 22, 832–841 (2013). source
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious GWA studies of endometriosis have implicated WNT signalling, oestrogen responsive genes and genes involved in the actin cytoskeleton and cellular adhesion.
“Previous GWA studies of endometriosis have implicated WNT signalling, oestrogen responsive genes and genes involved in the actin cytoskeleton and cellular adhesion1233.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [12] Rahmioglu, N. et al. Genetic variants underlying risk of endometriosis: insights from meta-analysis of eight genome-wide association and replication datasets. Hum. Reprod. Update 20, 702–716 (2014). source
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- cites [33] Nyholt, D. R. et al. Genome-wide association meta-analysis identifies new endometriosis risk loci. Nat. Genet. 44, 1355–1359 (2012). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSymptoms occur after puberty and oestrogen action contributes to pathological processes including growth of lesions and inflammation, and to symptoms including pain.
“Symptoms occur after puberty and oestrogen action contributes to pathological processes including growth of lesions and inflammation, and to the symptoms including pain4142.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [41] Bulun, S. E. et al. Role of estrogen receptor-beta in endometriosis. Semin. Reprod. Med. 30, 39–45 (2012). source
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- cites [42] Burney, R. O. & Giudice, L. C. Pathogenesis and pathophysiology of endometriosis. Fertil. Steril. 98, 511–519 (2012). source
Not checked in the free run.
May combine two claims.
PremisecitationKDR is responsive to steroid hormones; expression of KDR in endometrial stromal cells isolated from proliferative phase endometrium was significantly increased by oestrogen and medroxyprogesterone acetate in vitro.
“KDR is responsive to steroid hormones; expression of KDR in endometrial stromal cells isolated from proliferative phase endometrium was significantly increased by oestrogen and medroxyprogesterone acetate in vitro39.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] Sugino, N., Kashida, S., Karube-Harada, A., Takiguchi, S. & Kato, H. Expression of vascular endothelial growth factor (VEGF) and its receptors in human endometrium throughout the menstrual cycle and in early pregnancy. Reproduction 123, 379–387 (2002). source
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PremisecitationDuring the premenstrual phase in both humans and macaques, KDR expression was significantly increased in the stromal cells of the endometrium.
“During the premenstrual phase in both humans and macaques, KDR expression was significantly increased in the stromal cells of the endometrium40.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] Brenner, R. M., Nayak, N. R., Slayden, O. D., Critchley, H. O. & Kelly, R. W. Premenstrual and menstrual changes in the macaque and human endometrium: relevance to endometriosis. Ann. NY Acad. Sci. 955, 60–74 discussion 86-8, 396-406 (2002). source
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May combine two claims.
Interpretationown dataFor rs2268177, there was no significant evidence of heterogeneity (PHEIDI=0.065) in effect sizes of dependent SNPs, and therefore it is very likely that rs2268177 contributes to both endometriosis risk and the expression level of CDC42.
“For rs2268177, there was no significant evidence of heterogeneity (PHEIDI=0.065) in effect sizes of dependent SNPs at this associated region and therefore it is very likely that rs2268177 contributes to both endometriosis risk and the expression level of CDC42.”
Quote in the paperSubstantial claim- Rests on an assumption: The genetic variants used as instruments in SMR affect endometriosis risk only through gene expression (no horizontal pleiotropy).
May combine two claims.
PremisecitationThe index SNP associated with endometriosis on chromosome 2p25.1 is a common splice variant in GREB1 and SNPs associated with endometriosis on chromosome 12q22 increase expression of VEZT in RNA from blood and endometrium.
“The index SNP associated with endometriosis on chromosome 2p25.1 is a common splice variant in the oestrogen-responsive growth regulation by oestrogen in breast cancer 1 (GREB1) gene3337 and SNPs associated with endometriosis on chromosome 12q22 increase expression of the transmembrane adherens junctions protein coding gene vezatin (VEZT) in RNA from blood and endometrium38.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [33] Nyholt, D. R. et al. Genome-wide association meta-analysis identifies new endometriosis risk loci. Nat. Genet. 44, 1355–1359 (2012). source
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- cites [37] Fung, J. N. et al. Functional evaluation of genetic variants associated with endometriosis near GREB1. Hum. Reprod. 30, 1263–1275 (2015). source
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- cites [38] Holdsworth-Carson, S. J. et al. Endometrial vezatin and its association with endometriosis risk. Hum. Reprod. 31, 999–1013 (2016). source
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May combine two claims.
PremisecitationThe index SNP for endometriosis at the WNT4 locus on chromosome 1p36.12 is also the index SNP for ovarian cancer and the risk mechanism likely acts through inverse regulation of CDC42 and LINC00339.
“The most strongly associated (index) SNP for endometriosis at the WNT4 locus on chromosome 1p36.12 is also the index SNP for ovarian cancer35 and the risk mechanism likely acts through inverse regulation of CDC42 and LINC00339 (ref. 36).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [35] Kuchenbaecker, K. B. et al. Identification of six new susceptibility loci for invasive epithelial ovarian cancer. Nat. Genet. 47, 164–171 (2015). source
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- cites [36] Powell, J. E. et al. Endometriosis risk alleles at 1p36.12 act through inverse regulation of CDC42 and LINC00339. Hum. Mol. Genet. 25, 5046–5058 (2016).
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningA reference population with a similar proportion of European and Japanese individuals to the meta-analysis was used to calculate the LD for conditional analysis.
“we used a reference population with similar proportion of European and Japanese individuals to calculate the LD.”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningGene-based approaches can be more powerful than single SNP analyses, in part because they account for allelic heterogeneity and LD between SNPs and restrict to genic regions, reducing the multiple-testing problem of traditional GWA studies.
“Gene-based approaches can be more powerful than single SNP analyses, in part due to accounting for allelic heterogeneity (if present) and LD between SNPs, and restricting to genic regions thereby reducing the multiple-testing problem of traditional GWA study.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRegulation of GREB1 transcription by oestrogen receptor α (ERα) is mediated through three oestrogen response elements (EREs) located 20 kb upstream of the gene.
“Regulation of GREB1 transcription by oestrogen receptor α (ERα) is mediated through three oestrogen response elements (EREs) located 20 kb upstream of the gene5051.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [50] Deschenes, J., Bourdeau, V., White, J. H. & Mader, S. Regulation of GREB1 transcription by estrogen receptor alpha through a multipartite enhancer spread over 20 kb of upstream flanking sequences. J. Biol. Chem. 282, 17335–17339 (2007). source
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- cites [51] Sun, J., Nawaz, Z. & Slingerland, J. M. Long-range activation of GREB1 by estrogen receptor via three distal consensus estrogen-responsive elements in breast cancer cells. Mol. Endocrinol. 21, 2651–2662 (2007). source
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Classified as probably not a substantial claim.
Study design and conductnone givenBest-guess genotypes of well-imputed (minimac r2>0.8) SNPs in the QIMRHCS 1000 Genomes imputed data were quality-controlled to exclude SNPs with Hardy-Weinberg Equilibrium P<1 × 10−6 in controls, MAF<0.01 and >5% missingness.
“Best guess genotypes of well-imputed (minimac r2>0.8) SNPs in the QIMRHCS 1,000 Genomes imputed data were then subjected to quality control to exclude SNPs with Hardy-Weinberg Equilibrium P<1 × 10−6 in controls, MAF<0.01 and >5% missingness.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationFSHB encodes the beta polypeptide of FSH, a glycoprotein hormone that plays a central role in ovarian folliculogenesis.
“FSHB encodes the beta polypeptide of FSH, a glycoprotein hormone that plays a central role in ovarian folliculogenesis46.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Gougeon, A. Human ovarian follicular development: from activation of resting follicles to preovulatory maturation. Ann. Endocrinol. (Paris) 71, 132–143 (2010). source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenAll samples were collected with informed consent and study protocols were approved by the relevant local institutional ethics committees.
“All samples were collected with informed consent and study protocols were approved by the relevant local institutional ethics committees”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenImputed genotypes with low imputation quality (<0.3 for minimac and <0.4 for IMPUTE2) in each data set were excluded from downstream analysis.
“Imputed genotypes with low imputation quality (<0.3 for minimac and <0.4 for IMPUTE2) in each data set were excluded from the downstream analysis.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAssociation between rs1250248, which is in very high LD (r2=0.95) with the lead SNP rs1250241 at the FN1 locus, was first reported by the earlier European GWA study led by us, but was not replicated in an independent sample.
“Association between rs1250248, which is in very high LD (r2=0.95) with our lead SNP rs1250241 at this locus, was first reported by the earlier European GWA study led by us, but was not replicated in an independent sample7.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Painter, J. N. et al. Genome-wide association study identifies a locus at 7p15.2 associated with endometriosis. Nat. Genet. 43, 51–54 (2010). source
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSNPs at the chromosome 9p21 locus are also associated with a number of other diseases, including coronary artery disease, in which ANRIL has previously been implicated.
“SNPs at the chromosome 9p21 locus are also associated with a number of other diseases, including coronary artery disease (CAD)—a disease in which ANRIL has previously been implicated55.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [55] Holdt, L. M. & Teupser, D. From genotype to phenotype in human atherosclerosis–recent findings. Curr. Opin. Lipidol. 24, 410–418 (2013). source
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May combine two claims.
PremisecitationFunctional studies in mammalian cells show that ANRIL overexpression accelerated proliferation, increased adhesion and decreased apoptosis.
“Functional studies in mammalian cells show that ANRIL overexpression accelerated proliferation, increased adhesion and decreased apoptosis5456.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [54] Nakaoka, H. et al. Allelic Imbalance in Regulation of ANRIL through Chromatin Interaction at 9p21 Endometriosis Risk Locus. PLoS Genet. 12, e1005893 (2016). source
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- cites [56] Chen, H. H., Almontashiri, N. A., Antoine, D. & Stewart, A. F. Functional genomics of the 9p21.3 locus for atherosclerosis: clarity or confusion? Curr. Cardiol. Rep. 16, 502 (2014). source
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationVariants at the 6q25.1 locus have recently been associated with overall breast cancer and its sub-phenotypes including tumour subtypes, mammographic density and tumour grade.
“Variants at this locus have recently been associated with overall breast cancer and its sub-phenotypes including tumour subtypes, mammographic density and tumour grade27.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [27] Dunning, A. M. et al. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170. Nat. Genet. 48, 374–386 (2016). source
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PremisecitationChromatin conformation capture in human vascular endothelial cells identified short-range interactions between sequences at the 9p21.3 locus and sequences near CDKN2A, CDKN2B and MTAP, and long-range interactions with IFNW1 and IFNA21 approximately one million base pairs upstream on chromosome 9.
“Chromatin conformation capture in this region in human vascular endothelial cells identified short-range interactions between sequences at the 9p21.3 locus and sequences in the vicinity of the genes encoding CDKN2A, CDKN2B, and MTAP, and long-range interactions with IFNW1 and IFNA21 approximately one million base pairs upstream on chromosome 9 (ref. 56).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [56] Chen, H. H., Almontashiri, N. A., Antoine, D. & Stewart, A. F. Functional genomics of the 9p21.3 locus for atherosclerosis: clarity or confusion? Curr. Cardiol. Rep. 16, 502 (2014). source
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InterpretationreasoningWhile effects of individual risk SNPs are small, the results suggest that risk variants acting on several genes in the same pathway act to increase sensitivity to oestrogen and increase the risk of endometriosis.
“Moreover, GREB1 functions as an essential component of the oestrogen receptor transcription complex52, and while effects of individual risk SNPs are small, the results suggest that risk variants acting on several genes in the same pathway act to increase sensitivity to oestrogen and increase the risk of endometriosis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [52] Mohammed, H. et al. Endogenous purification reveals GREB1 as a key estrogen receptor regulatory factor. Cell Rep. 3, 342–349 (2013). source
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Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenImputed genotypes in the 23andMe data set were analysed adjusting for age and the top five principal components.
“Imputed genotypes in the 23andMe data set were analysed by adjusting for age and the top five principal components”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe allele(s) associated with increased risk of endometriosis are also associated with shorter menstrual cycles, earlier age at menopause, increased dizygotic twinning and polycystic ovarian syndrome.
“The allele(s) associated with increased risk of endometriosis are also associated with shorter menstrual cycles, earlier age at menopause, increased dizygotic twinning and polycystic ovarian syndrome24454748.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [24] Ruth, K. S. et al. Genome-wide association study with 1000 genomes imputation identifies signals for nine sex hormone-related phenotypes. Eur. J. Hum. Genet. 24, 284–290 (2016). source
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- cites [45] Ruth, K. S. et al. Genetic evidence that lower circulating FSH levels lengthen menstrual cycle, increase age at menopause and impact female reproductive health. Hum. Reprod. 31, 473–481 (2016). source
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- cites [47] Jones, M. R. & Goodarzi, M. O. An update on the genetics of polycystic ovary syndrome: progress and future directions. Fertil. Steril. 106, 25–32 (2016). source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationAssociation analysis of deCODE data was performed using logistic regression and included adjustment for age and population substructures.
“Association analysis of deCODE data was performed using logistic regression9, and included adjustment for age and population substructures.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] Steinthorsdottir, V. et al. Common variants upstream of KDR encoding VEGFR2 and in TTC39B associate with endometriosis. Nat. Commun. 7, 12350 (2016). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe 6q25.1 region is a well-established susceptibility locus for breast cancer in both Europeans and Asians.
“The 6q25.1 region is a well-established susceptibility locus for breast cancer in both Europeans and Asians274344.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [27] Dunning, A. M. et al. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170. Nat. Genet. 48, 374–386 (2016). source
Not checked in the free run.
- cites [43] Cai, Q. et al. Replication and functional genomic analyses of the breast cancer susceptibility locus at 6q25.1 generalize its importance in women of chinese, Japanese, and European ancestry. Cancer Res. 71, 1344–1355 (2011). source
Not checked in the free run.
- cites [44] Zheng, W. et al. Genome-wide association study identifies a new breast cancer susceptibility locus at 6q25.1. Nat. Genet. 41, 324–328 (2009). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe smaller effect sizes in analyses including all endometriosis cases may be due to disease misclassification in self-reported endometriosis cases.
“The smaller effect sizes in analyses including all endometriosis cases may be due to disease misclassification in self-reported endometriosis cases.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe iPSYCH data were analysed adjusting for genotyping waves and the top five principal components.
“The iPSYCH were analysed by adjusting for genotyping waves and the top five principal components.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationFSH and LH play central roles in regulating follicle development in the ovary, influencing oestradiol release during the proliferative phase of the cycle and contributing to a role for estradiol in endometriosis risk.
“They both play central roles in regulating follicle development in the ovary, influencing oestradiol release during the proliferative phase of the cycle46 and contributing to a role for estradiol in endometriosis risk.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46] Gougeon, A. Human ovarian follicular development: from activation of resting follicles to preovulatory maturation. Ann. Endocrinol. (Paris) 71, 132–143 (2010). source
Not checked in the free run.
The authors state this as an assumption.
A single causal variant underlies each association signal in the fine-mapping analysis.
“We assumed a single causal variant for each association signal and constructed a 99% credible set of variants including SNPs within 500 kb of the index SNP.”
The authors state this as an assumption.
The RE2 model's assumption of no heterogeneity under the null hypothesis of no association holds.
“The RE2 model is similar to the traditional RE approach except it relaxes the conservative assumption in hypothesis testing and assumes no heterogeneity under the null hypothesis of no association.”
The paper relies on this without support.
The genetic variants used as instruments in SMR affect endometriosis risk only through gene expression (no horizontal pleiotropy).
“we used a novel method30, summary data-based Mendelian randomization (SMR), which exploits the concept of Mendelian Randomisation (MR), to test for the causative effect of an exposure (that is, gene expression) on a phenotypic outcome (that is, endometriosis) using a genetic (SNP) variant as an instrumental variable.”
The authors state this as an assumption.
There is a single causal variant for each association signal.
“We assumed a single causal variant for each association signal, calculated BF for all SNPs within 500 kb of the index SNP, and ranked the SNPs based on their BF.”
The authors state this as an assumption.
The associated SNPs are not in high LD with one another.
“Assuming associated SNPs are not in high LD, we calculated the sum of single-SNP explained variances to produce the total variance explained by a set of independent SNPs72.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Recent GWAS meta-analysis of 17,045 women with endometriosis and 191,596 controls has documented five novel genome-wide significant SNPs enriched for genes involved in steroid hormone levels and activities.
“Recent GWAS meta-analysis of 17,045 women with endometriosis and 191,596 controls has documented five novel genome-wide significant SNPs, that are enriched for a set of genes (including FN1, CCDC170, ESR1, SYNE1 and FSHB) involved in steroid hormone levels and activities.35”
From Prenatal Origins of Endometriosis Pathology and Pain: Reviewing the Evidence of a Role for Low Testosterone (2023) · cites this paper as [35]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredA recent meta-analysis identified five loci regulating sex steroid hormone pathways, five secondary signals, and 19 single-nucleotide polymorphisms robustly associated with endometriosis.
“A recent meta-analysis identified five loci regulating sex steroid hormone pathways, five secondary signals, and 19 single-nucleotide polymorphisms robustly associated with endometriosis (54)”
From Pathogenesis of endometriosis: The genetic/epigenetic theory (2019) · cites this paper as [54]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
ESR1 region is assigned two chromosome bands
MinorThe Discussion places the ESR1 region at 6p25.1, whereas the Results places the ESR1 association at 6q25.1.
“We identified several independent signals in a region that includes ESR1 encoding oestrogen receptor 1 on chromosome 6p25.1.”
“two (rs2206949 in ESR1 and rs17803970 in SYNE1) on 6q25.1”
Variance explained increases by less than twofold
MinorThe reported variance explained rises from 0.97% for the previously reported SNPs to 1.75% with the new SNPs-approximately 1.8-fold, not more than double.
“more than doubles the proportion of genetic variation in endometriosis explained by robust SNP risk loci.”
“the nine previously reported SNPs explain 0.97% of the phenotypic variance on the liability scale19. The 10 new SNPs identified in this study together explain a further 0.78%, totalling to 1.75% of the phenotypic variance explained for endometriosis.”
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Self-citationCommon variants in the CYP2C19 gene are associated with susceptibility to endometriosis
Painter, J. N., Nyholt, D. R., Krause, L., Zhao, Z., Chapman, B. M., Zhang, C., Medland, S. E., Martin, N. G., Kennedy, S. M., Treloar, S. A., et al. (2014) · Fertility and Sterility · doi:10.1016/j.fertnstert.2014.04.015 · Cited by 20 · see citing works
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Sorted by citations
Zondervan, K. T., Becker, C. M., & Missmer, S. A. (2020) · New England Journal of Medicine · doi:10.1056/nejmra1810764 · Cited by 2,249 · see citing works
Self-citationZondervan, K. T., Becker, C. M., Koga, K., Missmer, S. A., Taylor, R. N., & Viganò, P. (2018) · Nature Reviews Disease Primers · doi:10.1038/s41572-018-0008-5 · Cited by 1,257 · see citing works
Self-citationEndometriosis: Etiology, pathobiology, and therapeutic prospects
Saunders, P. T. K., & Horne, A. W. (2021) · Cell · doi:10.1016/j.cell.2021.04.041 · Cited by 1,022 · see citing works
Bulun, S. E., Yilmaz, B. D., Sison, C., Miyazaki, K., Bernardi, L., Liu, S., Kohlmeier, A., Yin, P., Milad, M., & Wei, J. (2019) · Endocrine Reviews · doi:10.1210/er.2018-00242 · Cited by 844 · see citing works
Pathophysiology, diagnosis, and management of endometriosis
Horne, A. W., & Missmer, S. A. (2022) · BMJ · doi:10.1136/bmj-2022-070750 · Cited by 661 · see citing works
Self-citationDiscovery of common and rare genetic risk variants for colorectal cancer
Huyghe, J. R., Bien, S. A., Harrison, T. A., Kang, H. M., Chen, S., Schmit, S. L., Conti, D. V., Qu, C., Jeon, J., Edlund, C. K., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0286-6 · Cited by 530 · see citing works
The Pathogenesis of Endometriosis: Molecular and Cell Biology Insights
Laganà, A. S., Garzon, S., Götte, M., Viganò, P., Franchi, M. P., Ghezzi, F., & Martin, D. C. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20225615 · Cited by 492 · see citing works
The Origin and Pathogenesis of Endometriosis
Wang, Y., Nicholes, K., & Shih, I. (2019) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-012419-032654 · Cited by 466 · see citing works
“Interestingly, all loci harbor genes that function in sex steroid hormone pathways (FN1,CCDC170,ESR1, SYNE1, and FSHB), emphasizing the role of these pathways in the development of endometriosis (10).”
BackgroundPathogenesis of endometriosis: The genetic/epigenetic theory
Koninckx, P. R., Ussia, A., Adamyan, L., Wattiez, A., Gomel, V., & Martin, D. C. (2019) · Fertility and Sterility · doi:10.1016/j.fertnstert.2018.10.013 · Cited by 427 · see citing works
“A recent meta-analysis identified five loci regulating sex steroid hormone pathways, five secondary signals, and 19 single-nucleotide polymorphisms robustly associated with endometriosis (54) All studies that investigated a specific hereditary predisposition as detoxication failed (55).”
BackgroundSuda, K., Nakaoka, H., Yoshihara, K., Ishiguro, T., Tamura, R., Mori, Y., Yamawaki, K., Adachi, S., Takahashi, T., Kase, H., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.07.037 · Cited by 414 · see citing works
“Genome-wide association studies have identified several susceptibility loci for endometriosis (Adachi et al., 2010; Uno et al., 2010; Nyholt et al., 2012; Albertsen et al., 2013; Sapkota et al., 2017).”
Self-citationThe association between endometriosis and autoimmune diseases: a systematic review and meta-analysis
Shigesi, N., Kvaskoff, M., Kirtley, S., Feng, Q., Fang, H., Knight, J. C., Missmer, S. A., Rahmioglu, N., Zondervan, K. T., & Becker, C. M. (2019) · Human Reproduction Update · doi:10.1093/humupd/dmz014 · Cited by 382 · see citing works
Self-citationEndometriosis: advances and controversies in classification, pathogenesis, diagnosis, and treatment
Rolla, E. D. (2019) · F1000Research · doi:10.12688/f1000research.14817.1 · Cited by 327 · see citing works
“According to Nyholt et al.4, endometriosis is a “heritable, hormone-dependent gynecological disorder”.”
MethodEndometriosis-associated infertility: From pathophysiology to tailored treatment
Bonavina, G., & Taylor, H. S. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1020827 · Cited by 359 · see citing works
The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions
Rahmioğlu, N., Mortlock, S., Ghiasi, M., Møller, P. L., Stefánsdóttir, L., Galarneau, G., Turman, C., Danning, R., Law, M. H., Sapkota, Y., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01323-z · Cited by 311 · see citing works
Self-citationIdentification of nine new susceptibility loci for endometrial cancer
O’Mara, T. A., Glubb, D. M., Amant, F. C., Annibali, D., Ashton, K. A., Attia, J., Auer, P. L., Beckmann, M. W., Black, A., Bolla, M. K., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05427-7 · Cited by 285 · see citing works
Self-citationEndometriosis-Associated Macrophages: Origin, Phenotype, and Function
Hogg, C., Horne, A. W., & Greaves, E. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00007 · Cited by 241 · see citing works
“Genes implicated in disease included those involved in the regulation of epithelial cells and hormone metabolism, specifically genes involved in regulating hormone responses in tissues (24, 25).”
BackgroundImpact of Endometriosis on Life-Course Potential: A Narrative Review
Missmer, S. A., Tu, F. F., Agarwal, S. K., Chapron, C., Soliman, A. M., Chiuve, S. E., Eichner, S. F., Flores, I., Horne, A. W., Kimball, A. B., et al. (2021) · International Journal of General Medicine · doi:10.2147/ijgm.s261139 · Cited by 222 · see citing works
“but collectively these only explain about 5% of the variance.(18) Further, the peritoneal microenvironment may be altered by multiple factors, such as immune cells and pro-”
BackgroundSelf-citationObesity and risk of female reproductive conditions: A Mendelian randomisation study
Venkatesh, S. S., Ferreira, T. C., Benónísdóttir, S., Rahmioğlu, N., Becker, C. M., Granne, I., Zondervan, K. T., Holmes, M. V., Lindgren, C. M., & Wittemans, L. B. L. (2022) · PLoS Medicine · doi:10.1371/journal.pmed.1003679 · Cited by 206 · see citing works
“Genetic instruments for endometriosis (14,926 cases, 189,715 controls) [54], PCOS (10,174 cases, 103,164 controls) [47], and UF (20,406 cases, 223,918 controls) [3] were constructed from index variants identified by the largest European ancestry GWAS for each trait.”
BackgroundSelf-citationReis, F. M., Coutinho, L. M., Vannuccini, S., Batteux, F., Chapron, C., & Petraglia, F. (2020) · Human Reproduction Update · doi:10.1093/humupd/dmaa009 · Cited by 166 · see citing works
“metabolism have been investigated in women with endometriosis (Bozdag et al., 2010; Moreno et al., 2012; Sapkota et al., 2017), but the association of such polymorphisms with the individual response”
BackgroundGallagher, C. S., Mäkinen, N., Harris, H. R., Rahmioğlu, N., Uimari, O., Cook, J. P., Shigesi, N., Ferreira, T. C., Velez-Edwards, D. R., Edwards, T. L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12536-4 · Cited by 169 · see citing works
Self-citationNon-coding RNAs in endometriosis: a narrative review
Panir, K., Schjenken, J. E., Robertson, S. A., & Hull, M. L. (2018) · Human Reproduction Update · doi:10.1093/humupd/dmy014 · Cited by 151 · see citing works
Progesterone Resistance in Endometriosis: an Acquired Property?
McKinnon, B. D., Mueller, M. D., & Montgomery, G. W. (2018) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2018.05.006 · Cited by 153 · see citing works
Self-citationEpigenetic Dysregulation in Endometriosis: Implications for Pathophysiology and Therapeutics
Marquardt, R. M., Tran, D. N., Lessey, B. A., Rahman, M. S., & Jeong, J. (2023) · Endocrine Reviews · doi:10.1210/endrev/bnad020 · Cited by 130 · see citing works
Analysis of menstrual effluent: diagnostic potential for endometriosis
Warren, L. A., Shih, A., Renteira, S. M., Seckin, T. A., Blau, B. J., Simpfendorfer, K. R., Lee, A., Metz, C. N., & Gregersen, P. K. (2018) · Molecular Medicine · doi:10.1186/s10020-018-0009-6 · Cited by 115 · see citing works
“Genetic differences play a significant role in risk for endometriosis; a recent metaanalysis of over 170,000 endometriosis patients and almost 200,000 controls revealed 14 genetic regions of interest, including WNT4, GREB1, IL1A, and CDKN2B (Sapkota et al., 2017).”
BackgroundShih, A., Adelson, R. P., Vashistha, H., Khalili, H., Nayyar, A., Puran, R., Herrera, R., Chatterjee, P. K., Lee, A. T., Truskinovsky, A. M., et al. (2022) · BMC Medicine · doi:10.1186/s12916-022-02500-3 · Cited by 106 · see citing works
“6 (right panel), the MGP+ stromal cell subcluster expresses many genes that are associated with the extracellular matrix, including FN1 (encoding fibronectin-1) which has been associated with an increased risk for endometriosis in GWAS studies [116].”
BackgroundDawson, A., Llauradó Fernandez, M., Anglesio, M., Yong, P. J., & Carey, M. S. (2018) · ecancermedicalscience · doi:10.3332/ecancer.2018.803 · Cited by 106 · see citing works
“Also in 2017, Sapkota et al identified five novel loci in sex steroid hormone pathways associated with endometriosis risk (FN1, CCDC170, ESR1, SYNE1 and FSHB) [23].”
BackgroundMolecular Basis of Endometriosis and Endometrial Cancer: Current Knowledge and Future Perspectives
Terzić, M., Aimagambetova, G. N., Kunz, J., Bapayeva, G., Aitbayeva, B., Terzic, S., & Laganà, A. S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22179274 · Cited by 111 · see citing works
Epithelial Mutations in Endometriosis: Link to Ovarian Cancer
Bulun, S. E., Wan, Y., & Matei, D. E. (2019) · Endocrinology · doi:10.1210/en.2018-00794 · Cited by 103 · see citing works
Yarmolinsky, J., Relton, C. L., Lophatananon, A., Muir, K. R., Menon, U., Gentry‐Maharaj, A., Walther, A., Zheng, J., Fasching, P. A., Zheng, W., et al. (2019) · PLoS Medicine · doi:10.1371/journal.pmed.1002893 · Cited by 106 · see citing works
Rafnar, T., Gunnarsson, B., Stefansson, O., Sulem, P., Ingason, A., Frigge, M., Stefánsdóttir, L., Sigurdsson, J. K., Tragante, V., Steinthorsdottir, V., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05428-6 · Cited by 91 · see citing works
Self-citationLiu, X., Helenius, D., Skotte, L., Beaumont, R. N., Wielscher, M., Geller, F., Juodakis, J., Mahajan, A., Bradfield, J. P., Lin, F. T. J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11881-8 · Cited by 94 · see citing works
Self-citationShared Molecular Genetic Mechanisms Underlie Endometriosis and Migraine Comorbidity
Adewuyi, E. O., Sapkota, Y., Auta, A., Yoshihara, K., Nyegaard, M., Griffiths, L. R., Montgomery, G. W., Chasman, D. I., & Nyholt, D. R. (2020) · Genes · doi:10.3390/genes11030268 · Cited by 96 · see citing works
“The ‘IEC endometriosis’ GWAS summary statistics utilised in this study represent the largest endometriosis genetic study published to date [31].”
BackgroundMethodInfluentialSelf-citationOrganoids of the female reproductive tract
Chumduri, C., & Turco, M. Y. (2021) · Journal of Molecular Medicine · doi:10.1007/s00109-020-02028-0 · Cited by 99 · see citing works
Genetic, Epigenetic, and Steroidogenic Modulation Mechanisms in Endometriosis
Zubrzycka, A., Zubrzycki, M., Perdas, E., & Zubrzycka, M. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9051309 · Cited by 97 · see citing works
“GWAS association studies conducted in various samples have allowed to identify the diseasesusceptibility loci implicated in matrix remodeling, transcription regulation, cell cycle regulation and signaling, cell adhesion, inflammation, immunity, oxidative stress and steroid hormone receptors [4,17,18].”
BackgroundInfluentialThree Types of Endometriosis: Pathogenesis, Diagnosis and Treatment. State of the Art
Imperiale, L., Nisolle, M., Noël, J., & Fastrez, M. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12030994 · Cited by 99 · see citing works
“Understanding the role of single-nucleotide polymorphisms could lead to identifying a panel of biomarkers for a more accurate diagnosis with bigger specificity [57].”
BackgroundPolymorphisms and endometriosis: A systematic review and meta-analyses
Méar, L., Herr, M., Fauconnier, A., Pineau, C., & Vialard, F. (2020) · Human Reproduction Update · doi:10.1093/humupd/dmz034 · Cited by 85 · see citing works
Endometriosis-associated Ovarian Cancers
Anglesio, M. S., & Yong, P. J. (2017) · Clinical Obstetrics & Gynecology · doi:10.1097/grf.0000000000000320 · Cited by 86 · see citing works
Painter, J. N., O’Mara, T. A., Morris, A. P., Cheng, T. H. T., Gorman, M., Martin, L. M., Hodson, S., Jones, A., Martin, N. G., Gordon, S. D., et al. (2018) · Cancer Medicine · doi:10.1002/cam4.1445 · Cited by 81 · see citing works
Self-citationEndometriosis: A Comprehensive Review
Arafah, M., Rashid, S., & Akhtar, M. (2020) · Advances in Anatomic Pathology · doi:10.1097/pap.0000000000000288 · Cited by 82 · see citing works
Maulenkul, T., Sabitova, A., Makhadiyeva, D., Dautova, A., Terzić, M., Oshibayeva, A., Moldaliyev, I. S., Аязбеков, А. К., Maimakov, T., Saruarov, Y. G., et al. (2024) · BMC Women s Health · doi:10.1186/s12905-024-03369-5 · Cited by 88 · see citing works
Pathogenesis of Endometriosis and Endometriosis-Associated Cancers
Adilbayeva, A., & Kunz, J. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25147624 · Cited by 88 · see citing works
“…by estrogen in breast cancer-1 ( GREB1 ), and the follicle-stimulating hormone subunit beta ( FSHB ), as well as the coiled-coil domain containing 170 ( CCDC170 ) and spectrin repeat containing nuclear envelope protein 1 ( SYNE1 ), which are located near ESR1 and coexpressed with it [78].”
BackgroundAgarwal, M., Mettler, L., Jain, S., Meshram, S., Günther, V., & Alkatout, İ. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9092795 · Cited by 74 · see citing works
“[37] described in their meta-analysis five novel loci related to the risk of developing endometriosis.”
BackgroundAdewuyi, E. O., Mehta, D., Sapkota, Y., Sapkota, Y., Yoshihara, K., Nyegaard, M., Steinthórsdóttir, V., Morris, A. P., Fassbender, A., Rahmioğlu, N., et al. (2020) · Human Genetics · doi:10.1007/s00439-020-02223-6 · Cited by 73 · see citing works
Self-citationThe role of gene polymorphisms in endometriosis
Matalliotakis, M., Zervou, M. I., Matalliotaki, C., Rahmioglu, N., Koumantakis, G., Kalogiannidis, I., Prapas, I., Zondervan, K., Spandidos, D. A., Matalliotakis, I., et al. (2017) · Molecular Medicine Reports · doi:10.3892/mmr.2017.7398 · Cited by 75 · see citing works
“These results were confirmed by a recent meta‑analysis conducted by Sapkota et al , which, additionally, identified rs11031006 of the FSHB gene as a novel endometriosis-associated SNP (13).”
InfluentialSelf-citationA Lifelong Impact on Endometriosis: Pathophysiology and Pharmacological Treatment
Chen, L.-H., Lo, W.-C., Huang, H.-Y., & Wu, H. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087503 · Cited by 85 · see citing works
“The similar loci between SNP datasets implicate the shared pathogenesis of other gynecologic diseases that the genes significantly associated with endometriosis risk are close to genes involved in sex steroid hormone pathways [38], MAP kinase signaling cascade [39], interleukin 1A (a cytokine implicated in inflammator…”
BackgroundSources of Individual Differences in Pain
Mogil, J. S. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-092820-105941 · Cited by 73 · see citing works
New concepts on the etiology of endometriosis
Cousins, F. L., McKinnon, B. D., Mortlock, S., Fitzgerald, H. C., Zhang, C., Montgomery, G. W., & Gargett, C. E. (2023) · Journal of obstetrics and gynaecology research · doi:10.1111/jog.15549 · Cited by 82 · see citing works
“The most recent published endometriosis GWA meta-analysis(97) identified 19 independent signals in 14 genomic loci associated with the disease.(97) Candidate genes in the risk regions have been linked to hormonal regulation (ESR1, FSHB, GREB1) and cell adhesion and proliferation (CDC42, CDKN2BAS, VEZT, FGD6).”
BackgroundSelf-citationComplex genetics of female fertility
Gajbhiye, R., Fung, J. N., & Montgomery, G. W. (2018) · npj Genomic Medicine · doi:10.1038/s41525-018-0068-1 · Cited by 69 · see citing works
“The genetic locus associated with endometriosis risk on chromosome 1p36 (discussed above) overlaps completely with an association signal for ovarian cancer.(79,92) The association signals are located in WNT4.”
BackgroundInfluentialSelf-citationMortlock, S., Corona, R. I., Kho, P. F., Pharoah, P. D. P., Seo, J.-H., Freedman, M. L., Gayther, S. A., Siedhoff, M. T., Rogers, P. A. W., Leuchter, R., et al. (2022) · Cell Reports Medicine · doi:10.1016/j.xcrm.2022.100542 · Cited by 71 · see citing works
“and Sapkota et al.(17) respectively, and linkage disequilibrium (LD) score regression (LDSC).”
InfluentialSelf-citationFung, J. N., Mortlock, S., Girling, J. E., Holdsworth‐Carson, S. J., Teh, W. T., Zhu, Z., Lukowski, S. W., McKinnon, B. D., McRae, A. F., Yang, J., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-29462-y · Cited by 60 · see citing works
Self-citationTissue specific regulation of transcription in endometrium and association with disease
Mortlock, S., Kendarsari, R. I., Fung, J. N., Gibson, G. C., Yang, F. Y., Restuadi, R., Girling, J. E., Holdsworth‐Carson, S. J., Teh, W. T., Lukowski, S. W., et al. (2019) · Human Reproduction · doi:10.1093/humrep/dez279 · Cited by 60 · see citing works
Self-citationCandidate Genes for Age at Menarche Are Associated With Uterine Leiomyoma
Ponomarenko, I., Александрович, Р. Е., Polonikov, A., Николаевна, В. И., Николаевна, С. И., Yermachenko, A., Dvornyk, V., & Churnosov, M. I. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2020.512940 · Cited by 61 · see citing works
“, 2018) replicated three of the 19 previously reported endometriosis variants (Sapkota et al., 2017).”
BackgroundResultGenetics of endometriosis: a comprehensive review
Deiana, D., Gessa, S., Anardu, M., Daniilidis, A., Nappi, L., D’Alterio, M. N., Pontis, A., & Angioni, S. L. (2019) · Gynecological Endocrinology · doi:10.1080/09513590.2019.1588244 · Cited by 56 · see citing works
“The study identified five new locus with significant associated risks of endometriosis (p< 5 10); those are genes involved via steroid hormone synthesis (FN1, CCDC170, ESR1, SYNE1, and FSHB) for a total of 16 genomic regions associated with a risk of endometriosis in one or more populations [51].”
BackgroundPathogenomics of Endometriosis Development
Баранов, В. С., Malysheva, O., & Yarmolinskaya, M. I. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19071852 · Cited by 55 · see citing works
“The contribution of epigenetic and genetic factors in the pathogenesis of endometriosis has been described in many exhaustive reviews [3,4,10-12].”
BackgroundMcGrath, I. M., Montgomery, G. W., & Mortlock, S. (2023) · Human Reproduction Update · doi:10.1093/humupd/dmad009 · Cited by 58 · see citing works
Self-citationThe evolutionary biology of endometriosis
Dinsdale, N., Nepomnaschy, P., & Crespi, B. (2021) · Evolution, Medicine, and Public Health · doi:10.1093/emph/eoab008 · Cited by 53 · see citing works
Endometriosis and Cancer: Exploring the Role of Macrophages
Artemova, D. A., Vishnyakova, P., Khashchenko, K. E. P., Elchaninov, A. V., Sukhikh, G. T., & Fatkhudinov, T. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22105196 · Cited by 53 · see citing works
“Sapkota et al. (2017) confirmed the relevance of 9 of 11 loci previously implicated in endometriosis and associated five new loci (involved in sex hormone metabolism) with increased risks of endometriosis [35].”
BackgroundAngioni, S. L., D’Alterio, M. N., Coiana, A., Anni, F., Gessa, S., & Deiana, D. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21051765 · Cited by 52 · see citing works
“Five additional new loci significantly associated with the risk of endometriosis (p < 5 × 10–8) of genes involved in sexual steroid hormone pathways (FN1, CCDC170, ESR1, SYNE1 and FSHB) were identified, for a total of 16 genomic regions associated with endometriosis risk in one or more populations [27].”
BackgroundInfluentialGWAS of five gynecologic diseases and cross-trait analysis in Japanese
Masuda, T., Low, S., Akiyama, M., Hirata, M., Ueda, Y., Matsuda, K., Kimura, T., Murakami, Y., Kubo, M., Kamatani, Y., et al. (2019) · European Journal of Human Genetics · doi:10.1038/s41431-019-0495-1 · Cited by 52 · see citing works
Self-citationEndometriosis research in the -omics era
Goulielmos, G. N., Matalliotakis, M., Matalliotaki, C., Eliopoulos, E., Matalliotakis, I., & Zervou, M. I. (2020) · Gene · doi:10.1016/j.gene.2020.144545 · Cited by 49 · see citing works
Candidate genes for age at menarche are associated with endometriosis
Ponomarenko, I., Reshetnikov, E., Polonikov, A., Verzilina, I., Sorokina, I., Elgaeva, E. E., Tsepilov, Y. A., Yermachenko, A., Dvornyk, V., & Churnosov, M. (2020) · Reproductive BioMedicine Online · doi:10.1016/j.rbmo.2020.04.016 · Cited by 49 · see citing works
Should genetics now be considered the pre-eminent etiologic factor in endometriosis?
Montgomery, G. W., Mortlock, S., & Giudice, L. C. (2020) · Journal of Minimally Invasive Gynecology · doi:10.1016/j.jmig.2019.10.020 · Cited by 49 · see citing works
“The genetic risk constitutes additive effects of a large number of common variants with small effects [12], with little evidence for protein-modifying variants with moderate or large effects [28].”
BackgroundInfluentialSelf-citationCandidate genes for age at menarche are associated with endometrial hyperplasia
Ponomarenko, I., Александрович, Р. Е., Polonikov, A., Николаевна, С. И., Yermachenko, A., Dvornyk, V., & Churnosov, M. I. (2020) · Gene · doi:10.1016/j.gene.2020.144933 · Cited by 47 · see citing works
Sfakianoudis, K., Maziotis, E., Karantzali, E., Kokkini, G., Grigoriadis, S., Pantou, A., Giannelou, P., Petroutsou, K., Markomichali, C., Fakiridou, M., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22158353 · Cited by 49 · see citing works
Yang, F. Y., Wu, Y., Hockey, R., Doust, J. A., Mishra, G. D., Montgomery, G. W., & Mortlock, S. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101250 · Cited by 50 · see citing works
“We also observed the co-occurrence of endometriosis with GPM, a more powerful and representative GI disorder phenotype that combined GORD and PUD and/or corresponding medication treatments due to the shared treatment therapy and high genetic correlation between the two disorders (genetic…”
Self-citationEndometriosis and autoimmunity
Blanco, L. P., Salmeri, N., Temkin, S. M., Shanmugam, V. K., & Stratton, P. (2025) · Autoimmunity Reviews · doi:10.1016/j.autrev.2025.103752 · Cited by 55 · see citing works
Genetic Regulation of Physiological Reproductive Lifespan and Female Fertility
McGrath, I. M., Mortlock, S., & Montgomery, G. W. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22052556 · Cited by 45 · see citing works
“Polymorphisms in the ER gene regions, particularly in the ESR1 region, are implicated in risk for a variety of traits, such as breast cancer [61,62], age of menarche [22], age at first birth [63], uterine fibroids [54], endometriosis [27].”
BackgroundSelf-citationThe role of small extracellular vesicle-miRNAs in endometriosis
Nazri, H. M., Greaves, E., Quenby, S. M., Dragovic, R., Tapmeier, T. T., & Becker, C. M. (2023) · Human Reproduction · doi:10.1093/humrep/dead216 · Cited by 46 · see citing works
“…is essential as increasing evidence shows that these two combined stages of endometriosis could represent different disease entities altogether, with different ge-netic and biological pathways underpinning the pathophysiology (Painter et al. , 2011; Sapkota et al. , 2017; Uimari et al. , 2017).”
BackgroundSelf-citationRahmioğlu, N., Drong, A., Lockstone, H. E., Tapmeier, T. T., Hellner, K., Saare, M., Laisk, T., Dew, C., Tough, E., Nicholson, G., et al. (2017) · Epigenetics · doi:10.1080/15592294.2017.1367475 · Cited by 44 · see citing works
Self-citationAldo-keto reductase 1C3—Assessment as a new target for the treatment of endometriosis
Rižner, T. L., & Penning, T. M. (2019) · Pharmacological Research · doi:10.1016/j.phrs.2019.104446 · Cited by 51 · see citing works
Coan, M., Vinciguerra, G. L. R., Cesaratto, L., Gardenal, E., Bianchet, R., Dassi, E., Vecchione, A. M., Baldassarre, G., Spizzo, R., & Nicoloso, M. S. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19092512 · Cited by 44 · see citing works
“CCDC170 is only 133 kb away from estrogen receptor 1 (ESR1), and the closest SNPs to CCDC170 are associated with breast cancer and endometriosis risk [88,89].”
BackgroundMortlock, S., Restuadi, R., Levien, R., Girling, J. E., Holdsworth‐Carson, S. J., Healey, M., Zhu, Z., Qi, T., Wu, Y., Lukowski, S. W., et al. (2019) · Clinical Epigenetics · doi:10.1186/s13148-019-0648-7 · Cited by 42 · see citing works
“[26] generated from ~ 15,000 European endometriosis cases were used to test overlap with our endometrial mQTLs.”
BackgroundMethodInfluentialSelf-citationInvestigation of infertility using endometrial organoids
Νικολακοπούλου, Κ., & Turco, M. Y. (2021) · Reproduction · doi:10.1530/rep-20-0428 · Cited by 45 · see citing works
Rahmioğlu, N., Karina, B., Christofidou, P., Rebecca, D. L., Galarneau, G., Ayush, G., MacGregor, S., Mortlock, S., Yadav, S., Andrew, S. J., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/406967 · Cited by 42 · see citing works
“In total eight genome-wide association studies (GWAS) in women of European and East Asian ancestry have been published to date [6], the largest of which comprised 17,045 cases and 191,596 controls and identified 19 distinct signals at 14 loci [7], leaving many loci yet to be uncovered.”
BackgroundMethodSelf-citationEarly-life factors, in-utero exposures and endometriosis risk: a meta-analysis
Ottolina, J., Schimberni, M., Makieva, S., Bartiromo, L., Fazia, T., Bernardinelli, L., Viganò, P., Candiani, M., & Gentilini, D. (2020) · Reproductive BioMedicine Online · doi:10.1016/j.rbmo.2020.04.005 · Cited by 42 · see citing works
Genetics of endometriosis: state of the art on genetic risk factors for endometriosis
Fung, J. N., & Montgomery, G. W. (2018) · Best Practice & Research Clinical Obstetrics & Gynaecology · doi:10.1016/j.bpobgyn.2018.01.012 · Cited by 41 · see citing works
Self-citationNew Insights into Genetics of Endometriosis—A Comprehensive Literature Review
Chiorean, D. M., Mitranovici, M.-I., Toru, H. S., Cotoi, T. C., Tomuț, A. N., Turdean, S. G., & Cotoi, O. S. (2023) · Diagnostics · doi:10.3390/diagnostics13132265 · Cited by 41 · see citing works
“• Polygenic Risk Scores With the accumulation of genetic loci associated with endometriosis from GWAS, there has been increasing interest in developing polygenic risk scores (PRS) [6].”
BackgroundInfluentialLiu, Y., Zhang, Z., Yang, F., Wang, H., Liang, S., Wang, H., Yang, J., & Lin, J. (2020) · Biology of Reproduction · doi:10.1093/biolre/ioaa011 · Cited by 43 · see citing works
“Because of this clear heritability, genome-wide association studies were performed, and nine previously reported and five novel loci significantly associated with endometriosis risk were identified, which all harbor genes that function in sex steroid hormone pathways [38]; meanwhile, a dozen susceptibility regions wer…”
BackgroundSelf-citationMetabolic risk factors and fertility disorders: A narrative review of the female perspective
Westerman, R., & Kuhnt, A. (2021) · Reproductive Biomedicine & Society Online · doi:10.1016/j.rbms.2021.09.002 · Cited by 41 · see citing works
“…are more likely to have increased coronary artery calcium scores and increased carotid intima– media thickness, which are predictors of subclinical atherosclerosis and other cardiovascular events (Karthik et al., 2019; Sathyapalan and Atkin, 2012; Sirmans and Pate, 2014; Woodward et al., 2019).”
BackgroundAdewuyi, E. O., Mehta, D., Sapkota, Y., Yoshihara, K., Nyegaard, M., Steinthórsdóttir, V., Morris, A. P., Fassbender, A., Rahmioğlu, N., Vivo, I. D., et al. (2021) · Human Reproduction · doi:10.1093/humrep/deab254 · Cited by 40 · see citing works
Self-citationGenomics of Endometriosis: From Genome Wide Association Studies to Exome Sequencing
Lalami, I., Abo, C., Borghese, B., Chapron, C., & Vaiman, D. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22147297 · Cited by 44 · see citing works
“, 2017 [41] 28537267 Asian, Oceania European and American Meta-analysis of population and hospital-based 17,045 191,596 Laparoscopy Medical history and laparoscopy Discovery 19 rs12037376 (WNT4), rs11674184 and rs77294520 (GREB1), rs6546324 ( ETAA1), rs4762326 (VEZT), rs10167914 (IL1A), rs1903068 (KDR), rs760794 (ID4)…”
BackgroundResultInfluentialKho, P. F., Mortlock, S., Amant, F. C., Annibali, D., Ashton, K. A., Attia, J., Auer, P. L., Beckmann, M. W., Black, A., Brinton, L. A., et al. (2021) · Human Genetics · doi:10.1007/s00439-021-02312-0 · Cited by 40 · see citing works
Self-citationZhu, D., Chen, X., Hu, W., Dong, S.-S., Lü, B.-J., Rong, Y., Chen, Y., Chen, H., Thynn, H. N., Wang, N., et al. (2018) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.3419 · Cited by 39 · see citing works
“We used summary data–based Mendelian randomization (SMR) analysis((41,47)) to test for association between RANKL expression and BMD GWAS signals at six eQTL SNPs.”
MethodBylińska, A., Wilczyńska, K., Malejczyk, J., Milewski, Ł., Wagner, M., Jasek, M., Niepiekło-Miniewska, W., Wiśniewski, A., Płoski, R., Barcz, E., et al. (2018) · Molecular Genetics and Genomics · doi:10.1007/s00438-017-1404-3 · Cited by 38 · see citing works
Using Polygenic Scores in Social Science Research: Unraveling Childlessness
Verweij, R., Mills, M. C., Stulp, G., Nolte, I. M., Barban, N., Tropf, F. C., Carrell, D. T., Aston, K. I., Zondervan, K. T., Rahmioğlu, N., et al. (2019) · Frontiers in Sociology · doi:10.3389/fsoc.2019.00074 · Cited by 38 · see citing works
Self-citationTaylor, H. S., Dun, E. C., & Chwalisz, K. (2019) · Pain Management · doi:10.2217/pmt-2019-0010 · Cited by 38 · see citing works
Ólafsdóttir, Þ., Þorleifsson, G., Sulem, P., Stefánsson, Ó. A., Medek, H., Olafsson, K., Ingthorsson, O., Gudmundsson, V., Jónsdóttir, I., Halldorsson, G. H., et al. (2020) · Communications Biology · doi:10.1038/s42003-020-0857-9 · Cited by 38 · see citing works
Self-citationMarla, S., Mortlock, S., Houshdaran, S., Fung, J. N., McKinnon, B. D., Holdsworth‐Carson, S. J., Girling, J. E., Rogers, P. A. W., Giudice, L. C., & Montgomery, G. W. (2020) · Molecular Human Reproduction · doi:10.1093/molehr/gaaa082 · Cited by 39 · see citing works
“Table I Four independent single nucleotide polymorphisms (SNPs) on chromosome 6 associated with endometriosis risk identified by GWAS (Sapkota et al., 2017).”
BackgroundSelf-citationSystematic review of genome-wide association studies on susceptibility to endometriosis
Cardoso, J. V., Perini, J. A., Machado, D. E., Pinto, R., & Medeiros, R. (2020) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2020.10.017 · Cited by 36 · see citing works
Rull, K., Grigorova, M., Ehrenberg, A., Vaas, P., Sekavin, A., Nõmmemees, D., Adler, M., Hanson, E., Juhanson, P., & Laan, M. (2018) · Human Reproduction · doi:10.1093/humrep/dey057 · Cited by 36 · see citing works
Mortlock, S., Houshdaran, S., Kosti, I., Rahmioğlu, N., NEZHAT, C. R., Vitonis, A. F., Andrews, S. V., Grosjean, P., Paranjpe, M. D., Horne, A. W., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-05070-z · Cited by 38 · see citing works
Self-citationThe Role of Long Non-Coding RNAs in Endometriosis
Hudson, Q. J., Proestling, K., Perricos, A., Kuessel, L., Husslein, H., Wenzl, R. J., & Yotova, I. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111425 · Cited by 34 · see citing works
“Genome-wide association studies (GWAS) have been conducted for many diseases including endometriosis [24,25].”
BackgroundEndometriosis and inflammatory immune responses: Indian experience
Gajbhiye, R. (2022) · American Journal of Reproductive Immunology · doi:10.1111/aji.13590 · Cited by 36 · see citing works
Role of HOXA10 in pathologies of the endometrium
Mishra, A., & Modi, D. N. (2024) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-024-09923-8 · Cited by 35 · see citing works
“2 which harbors the HOXA10 gene [132–134].”
Bao, C., Wang, H., & Fang, H. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.758440 · Cited by 35 · see citing works
“For example, GWAS meta-analysis in endometriosis has identified disease risk loci that are likely to affect genes involved in hormone metabolism (9).”
BackgroundSex Hormone Candidate Gene Polymorphisms Are Associated with Endometriosis
Олегович, Г. И., Айзикович, Б. И., Golovchenko, O., Александрович, Р. Е., Churnosova, M., Aristova, I., Ponomarenko, I., & Churnosov, M. I. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232213691 · Cited by 33 · see citing works
“The molecular mechanisms of endometriosis remain highly enigmatic and largely unknown [6,7].”
BackgroundMethodResultInfluentialRevisiting the Risk Factors for Endometriosis: A Machine Learning Approach
Blass, I., Sahar, T., Shraibman, A., Ofer, D., Rappoport, N., & Linial, M. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12071114 · Cited by 33 · see citing works
“26 according to common SNP-based heritability [28].”
InfluentialAssociation of endometriosis with cardiovascular disease: Genetic aspects (Review)
Vazgiourakis, V., Zervou, M. I., Papageorgiou, L., Chaniotis, D. I., Spandidos, D. A., Vlachakis, D., Eliopoulos, E., & Goulielmos, G. N. (2023) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2023.5232 · Cited by 32 · see citing works
“3 (44,140), miR‐143 (rs41291957) (135,141), miR‐143 (rs4705342) (142,143), miR‐145 (141), miR‐23B and miR‐27B probably located on 9q22.”
InfluentialGajbhiye, R., McKinnon, B. D., Mortlock, S., Mueller, M. D., & Montgomery, G. W. (2018) · Reproductive Sciences · doi:10.1177/1933719118768688 · Cited by 31 · see citing works
“Up to 51% of endometriosis risk is genetic,(9) and genome-wide association studies (GWAS) have identified 14 genomic loci associated with endometriosis susceptibility.(10) The functional consequence of these variants, however, is not yet clear as they are intergenic and do not directly influence protein coding.”
BackgroundSelf-citationPathogenesis of bowel endometriosis
Yong, P. J., Bedaiwy, M. A., Alotaibi, F. T., & Anglesio, M. S. (2020) · Best Practice & Research Clinical Obstetrics & Gynaecology · doi:10.1016/j.bpobgyn.2020.05.009 · Cited by 32 · see citing works
- Authors
- Sapkota, Y., Steinthorsdottir, V., Morris, A. P., Fassbender, A., Rahmioglu, N., De Vivo, I., Buring, J. E., Zhang, F., Edwards, T. L., Jones, S., O, D., Peterse, D., Rexrode, K. M., Ridker, P. M., Schork, A. J., MacGregor, S., Martin, N. G., Becker, C. M., Adachi, S., Yoshihara, K., Enomoto, T., Takahashi, A., Kamatani, Y., Matsuda, K., Kubo, M., Thorleifsson, G., Geirsson, R. T., Thorsteinsdottir, U., Wallace, L. M., iPSYCH-SSI-Broad Group, Werge, T. M., Thompson, W. K., Yang, J., Velez Edwards, D. R., Nyegaard, M., Low, S.-K., Zondervan, K. T., Missmer, S. A., D'Hooghe, T., Montgomery, G. W., Chasman, D. I., Stefansson, K., Tung, J. Y., & Nyholt, D. R.
- Affiliations
- St. Jude Children's Research Hospital (US)
- Centre for Human Genetics (GB)
- Universitair Ziekenhuis Leuven (BE)
- Brigham and Women's Hospital (US)
- The University of Queensland (AU)
- Vanderbilt University Medical Center (US)
- Vanderbilt University (US)
- Mental Health Services (DK)
- QIMR Berghofer Medical Research Institute (AU)
- John Radcliffe Hospital (GB)
- Niigata University (JP)
- RIKEN Center for Integrative Medical Sciences (JP)
- Institute of Medical Science, The University of Tokyo (JP)
- University of Iceland (IS)
- University of Copenhagen (DK)
- Aarhus University (DK)
- Queensland University of Technology (AU)
- Corresponding author
- Sapkota, Yadav
- Montgomery, Grant W.
- Nyholt, Dale R.
- ORCID
- Sapkota, Yadav
- Morris, Andrew P.
- Buring, Julie E.
- Zhang, Futao
- Edwards, Todd L.
- Jones, Sarah
- 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
- Matsuda, Koichi
- Kubo, Michiaki
- Geirsson, Reynir T.
- Wallace, Leanne M.
- Thompson, Wesley K.
- Yang, Jian
- Nyegaard, Mette
- Low, Siew-Kee
- Zondervan, Krina T.
- Montgomery, Grant W.
- Chasman, Daniel I.
- Tung, Joyce Y.
- Nyholt, Dale R.
- Venue
- Nature Communications
- Published
- 2017-05-24
- Volume
- 8
- Issue
- 1
- Pages
- 15539-15539
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC5458088
- OpenAlex
- W2617005810
- Semantic Scholar
- 43b752c493514217000f98e6381d7f65df4a71b6
- Cited by
- 344
- References
- 73
- Citations by year
- 2026: 30 · 2025: 36 · 2024: 32 · 2023: 41 · 2022: 45 · 2021: 43 · 2020: 34 · 2019: 38 · 2018: 34 · 2017: 10
- FWCI
- 5.17
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by)
- Lirias (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Opin vísindi (Opin vísindi) (submittedVersion, cc-by)
- Hirsla (Landspítali University Hospital) (submittedVersion)
- Funders
- Wellcome Trust (085475, WT098017, WT084766, 339446, WTCCC2, WT084766/Z/08/Z, 076113)
- QIMR Berghofer Medical Research Institute
- Lundbeckfonden (R155-2014-1724, R102‐A9118, R102-A9118, R155-2014-1724)
- Novo Nordisk
- Novo Nordisk Fonden
- H. Lundbeck A/S (R102-A9118, R155-2014-1724)
- Medical Research Council (MR/K011480/1)
- Australian Research Council (FT0991022)
- National Health and Medical Research Council (613674, 033 and 1, 1050208, 619667, 241,944, 339,462, 389,927, 389,875, 389,891, 389,892, 389,938, 443,036, 442,915, 442,981, 496,610, 496,739, 552,485, 552,498, 1,026,033)
- Japan Society for the Promotion of Science (17K16837, 16H06267)
- RIKEN
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Endometriosis Research and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Plant and fungal interactions
- Keywords
- endometriosis, genetic susceptibility, ESR1, follicle-stimulating hormone beta subunit, FN1, SYNE1, single nucleotide polymorphisms, conditional analysis, heritability
- MeSH terms
- Adult, Aged, Endometriosis, Female, Genotype, Humans, Middle Aged, Gonadal Steroid Hormones, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Estrogen Receptor alpha, Metabolic Networks and Pathways, Genome-Wide Association Study, Genetic Loci
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