Insights from genomic studies on the role of sex steroids in the aetiology of endometriosis

Endometriosis only occurs spontaneously in menstruating species including humans and some primates. Explanations for the formation of endometriosis lesions, particularly those in the pelvis, have largely focused on a theory, first proposed in the 1920s, that tissue fragments including stem/progenitor cells and immune cells transferred via fallopian tubes at the time of menstruation (retrograde flow) survive and become attached to the peritoneal wall and other sites ( Horne & Saunders 2019 , Zondervan et al. 2020 ). Other theories include transfer via the vasculature and ( Yovich et al. 2020 ) and coelomic metaplasia ( Zondervan et al. 2020 ). The human endometrium is a complex multicellular tissue that is exquisitely sensitive to the actions of sex steroids with cycles of proliferation, differentiation breakdown, shedding (menstruation) and repair orchestrated by changes in circulating concentrations of endocrine hormones secreted by the ovaries ( Gibson et al. 2020 ). Within the ovaries, follicular maturation, and subsequent expression of steroid enzymes such as aromatase (metabolises androgens to oestrogens) within the granulosa cells ( Turner et al. 2002 ), is stimulated by the pituitary hormones LH and FSH. G-protein coupled receptors that bind FSH (FSHR) are expressed in the granulosa cells, and there are reports that FSHR polymorphisms are associated with increased risk of endometriosis in fertile women ( Andre et al. 2018 ). The actions of sex steroids, including oestrogens, progestins and androgens, are mediated by receptors encoded by genes ( ESR1, ESR2, PR, AR respectively) that are members of a large family of ligand-activated transcription factors. Studies using cell-based assays and mouse models have highlighted a key role for ESR1 (oestrogen receptor alpha) in regulation of endometrial cell proliferation and stromal–epithelial cell signalling ( Winuthayanon et al. 2017 ). Progesterone acting via PR, in combination with other factors including cAMP, plays a critical role in the differentiation (decidualisation) of endometrial stromal fibroblasts resulting in remodelling of their cytoskeleton (shape), changes in gene expression and a novel secretory profile ( Gellersen & Brosens 2003 ). Decidualisation is associated with increased synthesis and secretion of factors such as interleukin 15 that regulate recruitment of immune cells including the CD56+ uterine natural killer cells (uNK) which play a key role in remodelling of the vasculature ( Gibson et al. 2015 ). Androgens and AR also play an important role in regulation of endometrial function and endometrial pathologies ( Gibson et al. 2020 ) with strong expression of AR in stromal fibroblasts and variable expression in epithelial cells in normal endometrium. Steroid metabolism within lesions results in high levels of testosterone which are independent of stage of the cycle ( Huhtinen et al. 2014 ). Expression of AR and 5 alpha reductase enzymes capable of metabolising testosterone to the highly potent steroid dihydrotestosterone in lesions has also been reported ( Carneiro et al. 2008 ). Studies on the role of steroids in the pathogenesis of endometriosis have included evidence of changes in the function of the endometrium in women with endometriosis, measurement of steroids in the peritoneal fluid and detailed analysis of expression of steroid receptors, metabolising enzymes and steroid concentrations in the lesions themselves ( Fig. 1 ). The results of these studies have consistently reported differences between samples from women with or without endometriosis that involve steroid hormone production or action including altered responses to progesterone (‘progesterone resistance’) ( Burney et al. 2007 ). There is also a large body of work that has identified changes in expression of enzymes and the creation of an oestrogen-dominated microenvironment within the lesions which has provided the rationale for the use of enzyme inhibitors, including those targeting the aromatase enzyme, as therapeutics ( Dunselman et al. 2014 ). Readers interested in learning more about the many studies exploring the role of steroid receptors in endometriosis are encouraged to read the comprehensive review by Yilmaz and Bulun that summarises papers published up to 2018 ( Yilmaz & Bulun 2019 ).

Genetic changes identified by GWAS or other methods based on sequencing of DNA arise in the germline, and their impact may therefore be at any time during formation, differentiation or function of a differentiated tissue. The results from these approaches need to be complemented by analysis of cells recovered from lesions or the endometrium of women with endometriosis that can provide information on somatic mutations, epigenetic changes and transcriptomes. One of the main reasons genetic studies were carried out was in anticipation they might lead to the development of screening panels for genes implicated in endometriosis reducing the need for surgical diagnosis. A recent study on Korean women which explored familial cases of endometriosis found shared risk factors/SNPs suggested women with an affected sibling, early menarche, low BMI or who smoked could be considered an at-risk population ( Kim et al. 2021 ). This study shows the power of combining information from several studies to move the field forward towards the goal of personalised risk assessment. Notably this study was conducted in Asia whereas nearly all the other GWAS have largely focused on populations with European ancestry: there is clearly an urgency to increase the ethnic diversity of populations studied in GWAS for all reproductive traits and disorders. Another notable limitation of many of the findings from existing GWAS is that the most significant findings with the most robust statistical significance have only been associated with more extensive disease (stages III/IV). This may suggest genetic changes play a more important role in the aetiology of the disorder in this subset of women, but we cannot conclude this is the case without additional data from well phenotyped individuals with a stage I/II diagnosis. A study using whole genome sequencing of members of an affected family with ovarian endometriosis highlights the power of this approach to identify novel mutations that might explain familial cases ( Albertsen et al. 2019 ). The rapidly reducing cost of whole genome sequencing is likely to increase the use of this approach for analysis of at-risk families and could be one way to increase early diagnosis and better integrate GWAS data into diagnostic pathways. Another approach that shows promise involves analysis of levels of long non-coding RNAs or miRNAs in blood ( Moustafa et al. 2020 ) or saliva ( Balogova et al. 2022 ) which may also be useful in stratification of stages ( Maier & Maier 2021 ). Some useful insights that may accelerate new therapies have come from comparisons between endometriosis-associated SNPs and those associated with other traits and disorders. For example, a recent study linking risks of asthma and endometriosis ( Adewuyi et al. 2022 ) is consistent with an important role for inflammatory processes that may be exacerbated by oestrogens in both conditions ( Reyes-Garcia et al. 2021 , Saunders & Horne 2021 ). In asthma, androgens can negatively regulate inflammation and Adewuyi and colleagues suggested that androgen receptor modulators might be explored as therapies for both conditions ( Adewuyi et al. 2022 ). This suggestion is one that has been made in the context of endometriosis as a way of overcoming the negative side effects of the pain medication Danazol ( Gibson et al. 2020 ); however, as our recent studies in mice demonstrate more studies on the impact of SARMs on endometirum are needed before they can be widely adopted in women ( Simitsidellis et al. 2019 ). In the case of migraine there is already discussion surrounding repurposing of drugs used to treat migraine for treatment of endometriosis-associated pain ( Saunders & Horne 2021 ). Likewise reports that GWAS analysis of data sets related to depression and comparison to those of endometriosis identified a link to ‘gastric mucosa abnormality’ ( Adewuyi et al. 2021 ) are consistent with new evidence that the gut–brain axis can play a role in pain pathways ( Muller et al. 2020 ). These findings are likely to stimulate further studies on dietary modification as a non-drug therapy for both conditions. The strong association between inflammation and endometriosis also means we can learn from new genomics-led approaches to identify targets and accelerate drug repurposing that have been applied to asthma and autoimmune disorders such as Sjogen’s syndrome ( Fang et al. 2019 ). With data sets of priority targets now available ( Fang & Knight 2022 ), comparisons using endometriosis datasets are a possibility and may yield new targets including those involved in crosstalk between inflammation and steroid signalling pathways.

Work in the author’s laboratory directed at understanding the role of sex steroids has been funded by the Medical Research Council http://dx.doi.org/10.13039/501100000265 UK (MR/N024524/1, G1100356/1).

The rapid increase in large-scale GWAS has opened up the opportunity to compare SNPs in women with endometriosis with those identified as associated with reproductive traits and reproductive or other disorders ( Table 3 ). Table 3 GWAS studies from reproductive and other disorders that have identified SNPs in common with endometriosis. Condition Cohort for non-endo condition SNP overlap with endometriosis Target genes/pathways References Fibroids 35,474 cases and 267,505 female controls of European ancestry 1p36.12, rs7412010; 2p25.1, rs35417544; 6q25.2, rs58415480; 11p14.1, rs11031006 WNT4, CDC42, GREB1, ESR1, FSHB Gallagher et al. (2019) Age at menarche 395 patients (endo), 981 controls 52 SNPs previously identified for age at menarche: 16 SNPs overlap with endo; rs6589964 28 genes in G alpha signalling pathway; LHCGR several SNPs (strong); BSX – increases affinity for FOXA transcription factors Ponomarenko et al. (2020) Endometrial cancer 4 data sets: 6459 patients, 32,624 controls 13 loci incl rs2475335 located in PTPRD STAT3 pathway Painter et al. (2018) Endometrial cancer Data from O’Mara et al. (2018) with replication using UK Biobank 12,270 cases/46,126 controls 4 regions identified with 17q21.32 demonstrating evidence of a shared genetic risk signal; 3q21.3? novel Potential genes?: CBX1, MIR1203, SKAP1 SNX11 Kho et al. (2021) Ovarian cancer 10,065 cases and 21,663 controls Clear cell carcinoma showed the strongest genetic correlation with endometriosis ?? Lu et al. (2015) Obesity/leanness BMI (GIANT; 123,865 individuals) and WHRadjBMI (GIANT: 77,167 individuals) 7p15.2; KIFAP3 and CAB39L are novel associations for both traits Wnt pathway (3 genes) Rahmioglu et al. (2015) Migraine 22 GWAS, 59,674 migraine cases and 316,078 controls (sex considered as a covariant) SNPs near SLC35G6, TRIM32, ARL14EP IL1R binding, PI3K-Akt-mTOR-signalling, MAPK signalling, TNF-α signalling Adewuyi et al. (2020) Depression 170,756 cases of depression 329,443 controls of European ancestry 20 independent loci, 8 novel Causal relationship?; Gastric mucosal abnormality Adewuyi et al. (2021) Asthma UK Biobank 26,332 cases of asthma/ 375,505 controls; TAGC consortium 19,954 cases/107715 controls UKB comparison 14 independent loci, 5 putative novel (3 replicated in TAGC) Biological pathways including thyroid hormone signalling, androgen biosynthetic process Adewuyi et al. (2022) GWAS studies from reproductive and other disorders that have identified SNPs in common with endometriosis. Younger age at menarche has been implicated in increased risk of developing endometriosis as having short menstrual cycles and low BMI whereas having more children is associated with lower risk ( Shafrir et al. 2018 ). GWAS studies have shed light on the heritable factors that may contribute to these characteristics with comparisons made to endometriosis data sets. For example, a large-scale GWAS has identified a genetic component to age at first birth and number of children with 12 loci including an SNP associated with ESR1 (rs4851269) ( Barban et al. 2016 ). There is also evidence from GWAS studies for a shared genetic risk factors between ovarian ageing and premature ovarian failure ( McGrath et al. 2021 ). A preprint article ( https://doi.org/10.1101/401448 ) which has not yet been peer reviewed reported a GWAS of endometriosis-related infertility, including 2969 cases and 3770 controls; they did not show genome-wide significance for any SNPs associated with endometriosis-related infertility although they recorded three SNPs at or near genes implicated in female fertility in model organisms. To identify loci for age at menarche, a meta-analysis of 32 GWAS in 87,802 women of European descent, with replication in up to 14,731 women, was performed resulting in the identification of more than 30 new SNP loci ( Elks et al. 2010 ). Notably three of these were in or near genes implicated in hormonal regulation ( INHBA, PCSK2, RXRG ). A more recent small-scale study took 52 of the candidate SNPs for age at menarche and their gene–gene and gene–environment interactions and analysed whether they were associated with endometriosis using samples from 395 patients and 981 controls ( Ponomarenko et al. 2020 ). They found 16 SNPs that were associated with endometriosis and evidence for a link with the G protein signalling pathway. One of the most well-established associations with age at menarche is body size with early studies indicating this is regulated by genetic factors rather than diet ( Stark et al. 1989 ). It is therefore of note that Rahmioglu and colleagues have reported a significant enrichment of common SNPs when comparing data sets based on fat distribution and endometriosis ( Rahmioglu et al. 2015 ) including shared genes associated with the WNT signalling pathway ( Table 3 ). A recent analysis using two-sample randomization also found evidence that reduced body weight/BMI and variants that expose women to more episodes of menstruation might be mediating genetic susceptibility to endometriosis ( Garitazelaia et al. 2021 ) which backs up epidemiological and other genetic data including GWAS discussed above. Comparisons have made between SNP data from endometriosis patients and those from women with fibroids (leiomyomata) ( Gallagher et al. 2019 ). A meta-analysis reported that genes associated with endometriosis that were involved in hormone signalling ( WNT4/CDC42, GREB1, ESR1, FSHB ) were also associated with diagnosis of fibroids. The authors reported that there was at least a doubling of risk for a diagnosis of fibroids among those with a history of endometriosis suggesting overlapping genetic origins. Notably, candidate genes identified for age at menarche are also associated with presence of fibroids. A recent study reported that of the 23 loci associated with fibroids, 16 were associated with either age at menarche (7 SNPs) or height and/or BMI (13 SNPs) ( Ponomarenko et al. 2020 ). One of the SNPs was associated with at least two of the three phenotypes being rs4374421 (associated with LHCGR) consistent with an important role for hormones/receptors in regulation of multiple reproductive phenotypes. Epidemiological and array studies have identified an increased risk of developing some forms of ovarian cancer in women with endometriosis ( Lu et al. 2015 ). Analysis of endometriosis and endometrial cancer SNP data sets ( Painter et al. 2018 ) highlighted 13 distinct loci associated with both endometriosis and endometrial cancer. The study suggested that endometriosis and endometrial cancer have a moderate, but significant, shared genetic aetiology. Recently, Japanese researchers performed GWAS studies of two benign gynaecologic diseases (endometriosis, fibroids) and three reproductive cancers (ovarian, endometrial and cervical) using data of 46,837 subjects and 39,556 matched female controls from the Japan Biobank Project ( Masuda et al. 2020 ). They reported genetic correlations were relatively strong between ovarian cancer and endometriosis and reported a weaker association between endometriosis and fibroids as well as SNPs in endometrial and ovarian cancer unique to Japanese and/or East Asians. In a recent study, Australian researchers also identified genetic risk regions shared between endometriosis, endometrial cancer and fibroids and a novel genome-wide significant endometrial cancer risk locus at 1p36.12, contained biologically relevant genes, including WNT4 discussed above ( Kho et al. 2021 ) ( Table 3 ). In this study, the authors used a GWAS data set from endometrial cancers and an expanded data set of 12,906 cases to identify 9 new SNPs with complementary analysis of epigenomic marks in cell lines showing greater overlap in oestrogen-treated cells ( O’Mara et al. 2018 ). Comparison with the endometriosis SNP data is available in a preprint (bioRxiv. https://doi.org/10.1101/406967 ). Whilst stringent analysis using replication data sets failed to replicate some earlier data, the authors did report finding four shared genetic risk regions, three of which (9p21.3, 15q15.1 and 17q21.32) have previously been independently associated with risk of both diseases ( Sapkota et al. 2017 , O’Mara et al. 2018 ). The finding of common SNPs between endometriosis and migraine ( Adewuyi et al. 2020 ) is interesting because they align with reports that migraine is more common in women than men and many women report worse symptoms during menstruation suggestive of an impact of hormones. The co-morbidity of endometriosis with migraine has been reported in a number of epidemiological studies ( Yang et al. 2012 ). Notably, in a twin-based study of 815 monozygotic and 457 dizygotic female twin pairs, Nyholt and colleagues reported a significant additive genetic correlation and bivariate heritability between migraine and endometriosis ( Nyholt et al. 2009 ). Meta-analysis of endometriosis and migraine GWAS data sets did not find novel genome-wide significant SNPs nor evidence of a causal link however they did identify some SNPs associated with genetically controlled biological mechanisms which might explain the co-occurrence of the two disorders. These included several signalling pathways previously noted in GWAS studies on endometriosis such as IL1R, MAP kinase and Akt-mTOR ( Adewuyi et al. 2020 ). Depression and fatigue are symptoms commonly reported by women with endometriosis ( Saunders & Horne 2021 ). A meta-analysis of endometriosis and depression GWAS (sample size 709,111) identified 20 independent genome-wide significant loci of which 8 were novel ( Adewuyi et al. 2021 ). Genes overlapping the two traits were significantly enriched for the biological pathways ‘cell-cell adhesion’, ‘inositol phosphate metabolism’, ‘Hippo-Merlin signalling dysregulation’ and ‘gastric mucosa abnormality’. New data highlighting shared genetic traits with asthma also align with the strong association between endometriosis and inflammatory processes ( Adewuyi et al. 2022 ) ( Table 3 ). Notably in their paper the authors highlighted the many lines of evidence that exposure to high levels of oestrogens increases the risk of asthma ( Keselman & Heller 2015 , Keselman et al. 2017 ) providing a plausible biological link between the two conditions.

Evidence from GWAS ( Table 2 ) appear consistent with a role for genetic mutations in genes implicated in steroid regulation of the endometrium in modifying the risk of developing endometriosis. Follow-up studies, reviewed briefly below, have been conducted which have further strengthened this evidence and complemented studies on individual hormone-dependent gene expression in endometrial cells and tissues ( Burney et al. 2007 ). In a meta-analysis, Nyholt and collaborators used data from 11 GWAS case–control data sets with more than 17,000 endometriosis cases ( Table 2 ) ( Sapkota et al. 2017 ). They replicated previous reported loci and identified five novel SNPs significantly associated with genes involved in sex steroid hormone signalling pathways including FSH beta ( FSHB ), fibronectin ( FN1 ) and CCDC170 a gene implicated in breast cancer risk ( Dunning et al. 2016 ) and five secondary association signals, including two at the ESR1 locus. Given the importance of FSH in regulating production of oestrogens by the ovarian granulosa cells, the finding of SNPs associated with the FSHB gene provides a further link between endometriosis risk and oestrogen action(s). Notably in their paper, Sapkota et al. (2017) reported that their data were supported by independent samples from the UK Biobank ( Ruth et al. 2016 ) and the index SNP was in high linkage disequilibrium with other SNPs associated with FSH concentrations. SNPs associated with the ESR1 gene and GREB1 , an early response gene that is regulated by oestrogens as well as androgens in hormone-dependent cancers ( Cheng et al. 2018 ), were reported in endometriosis GWAS including large-scale meta-analysis ( Rahmioglu et al. 2014 , Sapkota et al. 2017 ), although not all studies have replicated findings of an association with the rs11674184 SNP of the GREB1 gene ( Matalliotaki et al. 2019 ). Oestrogen receptors play a key role in regulation of endometrial function, and it is notable that many studies have recorded dysregulation of ESR1/ESR2 with overexpression of the latter in endometriosis lesions ( Table 1 ) which has been attributed to changes in methylation status of ESR2 ( Xue et al. 2007 ) rather than genomic SNPs. In a recent paper, Marla et al. (2021) examined hormonal and genetic regulation of genes in the ESR1 region in endometrium and explored the effect of endometriosis risk variants. The authors noted that variants in the ESR1 region of SNPs associated with endometriosis risk were not the same as the ESR1 SNPs associated with age at first birth, age at menarche or breast cancer which is something that needs to be born in mind when linking risks to pathways. SNPs associated with HOXA10 (7p15.2) have been reported in more than one GWAS ( Painter et al. 2011 a , Nyholt et al. 2012 ). Expression of HOXA10 is steroid regulated in adult endometrium: two EREs that can bind either ESR1 or ESR2 in vitro have been identified in the regulatory region of the gene highlighting a direct link to oestrogens and oestrogen receptor action in endometrial cells ( Akbas et al. 2004 ). The abundance of HOXA10 protein in endometrial stromal cells increases as they decidualise in response to progesterone and it plays a key role in regulating other genes implicated in regulation of metabolism, DNA replication and repair, cell junction, and lysosome and signal transduction ( Wang et al. 2021 ). Miss-expression of HOXA10 has been reported to contribute to infertility ( Ashary et al. 2020 ) and mice with deletion of Hoxa10 have severe defects in decidualisation and implantation ( Gao et al. 2015 ). More recent studies have suggested altered expression of HOXA10 might also be a risk factor for adenomyosis (abnormal invasion of endometrium into the myometrium) which is often found as co-morbidity with endometriosis consistent with these conditions sharing common risk factors ( Bulun et al. 2021 ). Members of the Wnt gene family are well established as regulators of endometrial cell function with important roles in epithelial–mesenchymal interactions ( Tulac et al. 2003 ). SNPs associated with WNT4 (at 1p36.12) have been reported in several GWAS ( Rahmioglu et al. 2014 ). This gene encodes a secreted signalling factor that regulates both development of endometrial glands and progesterone signalling during decidualisation ( Franco et al. 2011 , Hayashi et al. 2011 ). In a study comparing expression of WNT4 in eutopic and ectopic endometrium of 30 patients with endometrium from 30 controls, some evidence was presented for downregulation in ectopic endometrium and in eutopic endometrium of patients compared with controls ( Liang et al. 2016 ) although more extensive studies to link SNPs to gene expression are required. Whilst the evidence described above appears to add weight to the link between genetic changes in regions of the genome that appear to be associated with genes involved in steroid regulation of endometrium/endometriosis lesions, it is important to acknowledge that steroids can have pleiotrophic effects that span development as well as adult life making cause and effect difficult to unravel particularly in a disorder with a complex presentation. Much larger-scale studies are now required to expand on the link between SNPs and the regulation of gene expression that is specific to endometrium ( Mortlock et al. 2020 ).

The endometrium is a tissue in which both steroids and inflammatory processes are implicated in normal function, and in disorders such as endometriosis, so the apparent association between genetic variants that have an impact on steroid receptor expression and/or steroid signalling and endometriosis risk appears to back up what we already know about the characteristics of the disorder ( Saunders & Horne 2021 ). Challenges remain in linking changes in specific gene expression with causation and/or aetiology which is not surprising given the heterogeneity of the disease and the complex interrelationships between steroids (biosyntheisis/metabolism), steroid signalling pathways and changes in tissue function. Montgomery and colleagues have argued that we may achieve additional breakthroughs in our understanding of the role(s) of gene mutations in the origins and pathogenesis of the disorder ( Montgomery et al. 2020 ) by expanding our studies on somatic mutations in epithelial cells within the eutopic endometrium many of which may arise early in life ( Lac et al. 2019 ): this is clearly an important area for future work. Steroid regulation of the endometrium and endometriosis lesions which may contribute to risk and progression of the disorder will also be influenced by epigenetic changes to the genome and large-scale studies exploring DNA methylation data from women with endometriosis and comparisons to controls are now underway. These studies have expanded on those analysing the impact of methylation on expression of individual genes such as ESR2 ( Xue et al. 2007 ). Mortlock et al. analysed DNA methylation data from endometrium and blood samples of 66 women reporting genetic regulation of methylation in endometrium across the menstrual cycle that was not observed in blood and novel disease-related methylation quantitative trait loci including one near GREB1 ( Mortlock et al. 2019 ). Another study used stromal cells isolated from eutopic endometrium during the proliferative phase as well as in vitro cultures with E2 and/or progesterone in combination with analysis of the DNA methylome to compare epigenetic landscape and see if this was altered in endometriosis patients ( Houshdaran et al. 2020 ). The authors reported finding pre-existing aberrant DNA methylation signatures in the cells from women with endometriosis and that these were not uniform throughout the patient group with those found in women with stage IV disease associated with a blunting of response to E2 treatment. Another regulatory pathway that has been investigated in the context of hormone regulation of endometrium/endometriosis is that of non-coding RNAs ( Vashisht et al. 2020 ). Whilst outside the scope of this review the miRNA field is a rapidly expanding one with some promising results linking miRNAs to disease mechanisms ( Stejskalova et al. 2021 ). Further studies on epigenetic changes in the genome and non-coding RNA pathways are anticipated but they also need to be closely integrated with the insights from genomic studies. In summary, the rapid explosion in the use of unbiased genomic approaches such as GWAS has led to a large body of data that consistently reports mutations in areas of the genome that appear associated with genes that regulate hormone-dependent gene expression (receptors, enzymes, transcription factors). These changes may explain some of the genetic risk associated with developing this disorder and other co-morbidities reported by patients. The next challenge is to integrate these data with changes in cell/tissue function and to use them as a platform for improvements in diagnosis, development of new therapies and care pathways.

The author declares that there is no conflict of interest that could be perceived as prejudicing the impartiality of this review.

Endometriosis is a complex, heterogeneous, chronic, incurable disorder the hallmark of which is growth of tissue ‘lesions’ that have histological features resembling the intrauterine (eutopic) endometrium outside the uterine cavity ( Horne & Saunders 2019 , Zondervan et al. 2020 ). Estimates of prevalence typically quote rates of ~10% of women of reproductive age, equating to 190 million individuals world-wide ( Zondervan et al. 2020 ). This is likely to be an underestimate as many women, or those assigned as female at birth, may remain undiagnosed, and ‘lesions’ have also been found in asymptomatic fertile women ( Shafrir et al. 2018 ). Prevalence rates can be as high as 50% in women seeking treatment for infertility ( Meuleman et al. 2009 ): rates in adolescents with pelvic pain range from 49% to 75% ( Shafrir et al. 2018 ). A recent review highlighted the profound negative impact on the lives of individuals with the disorder ( Missmer et al. 2021 ). Endometriosis lesions are most commonly found within the pelvic cavity ( Fig. 1 ) ( Zondervan et al. 2020 ) but may also occur in other sites including the thorax and nervous system ( Andres et al. 2020 ). The location, type, degree of invasion, extent of disease and associated adhesions have been used to ‘stage’ the disease with the most widely adopted scheme being that proposed by the American Society of Reproductive Medicine. This scheme proposes classification of endometriosis lesions into four stages I to IV: stage I – mild, stage II – minimal, stage III – moderate, stage IV – severe. The assignment of stage is based on visual analysis at time of surgery and a points-based system with the majority of peritoneal disease scored as stage I/II and more extensive disease associated with adhesions and deep nodules as stage III or IV. Figure 1 Location and histology of endometriosis lesions. Endometriosis lesions are predominantly found in the pelvic cavity where they may be associated with the peritoneal wall (superficial peritoneal), the ovary (cysts/endometriomas) or as nodules (deep endometriosis) associated with areas of fibrosis and adhesions between bowel, bladder and vagina (lower left diagram shown as red circles). A histological section of a superficial peritoneal lesion (*) stained with H&E is shown above the diagram of the pelvic cavity. The lesion is supported by the peritoneal wall which has a layer of smooth muscle (M), and it contains stromal fibroblasts (S), myofibroblasts (fibrosis, F) and a gland surrounded by epithelial cells (G). The right-hand panel shows a diagrammatic representation of a lesion (surrounded by dotted pink line) mirroring the histology of the H&E image complemented by representation of additional cell types including nerves (yellow), blood vessels (brown) and immune cells (variety of colours). It also shows processes that contribute to lesion survival (angiogenesis), growth of nerves in lesions (neuroangiogenesis) and creation of a unique environment that has high concentrations of steroids (intracrine biosynthesis). Location and histology of endometriosis lesions. Endometriosis lesions are predominantly found in the pelvic cavity where they may be associated with the peritoneal wall (superficial peritoneal), the ovary (cysts/endometriomas) or as nodules (deep endometriosis) associated with areas of fibrosis and adhesions between bowel, bladder and vagina (lower left diagram shown as red circles). A histological section of a superficial peritoneal lesion (*) stained with H&E is shown above the diagram of the pelvic cavity. The lesion is supported by the peritoneal wall which has a layer of smooth muscle (M), and it contains stromal fibroblasts (S), myofibroblasts (fibrosis, F) and a gland surrounded by epithelial cells (G). The right-hand panel shows a diagrammatic representation of a lesion (surrounded by dotted pink line) mirroring the histology of the H&E image complemented by representation of additional cell types including nerves (yellow), blood vessels (brown) and immune cells (variety of colours). It also shows processes that contribute to lesion survival (angiogenesis), growth of nerves in lesions (neuroangiogenesis) and creation of a unique environment that has high concentrations of steroids (intracrine biosynthesis). Endometriosis is associated with a wide range of symptoms including pelvic pain (which may be more severe during menstruation), painful sex, heavy menstrual bleeding, bladder and bowel symptoms as well as those shared with other chronic pain conditions such as fatigue and depression. Several reports have recorded poor correlation between patient-reported pain and endometriosis stage ( Vercellini et al. 2007 ). Some commentators have suggested endometriosis should be considered a ‘syndrome’ with greater emphasis on symptoms rather than lesion subtype/location ( Saunders & Horne 2021 ). Results from genomic and other studies (discussed below) suggest there may also be differences in the aetiology of deep and ovarian disease compared with peritoneal, superficial lesions. In this narrative review, I will consider the evidence that genetic changes in gene pathways associated with hormone production or action may contribute to the risk of endometriosis and other disorders that may have shared genetic risk factors. Opportunities to use the information to improve non-surgical diagnosis or personalised therapies will be briefly discussed.