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Endometriosis

Endometriosis is a chronic, often painful condition characterized by the growth of tissue similar to the lining inside the uterus (the endometrium) in locations outside the uterus. This ectopic endometrial-like tissue typically affects pelvic organs such as the ovaries, fallopian tubes, and the outer surface of the uterus, but can also be found in other parts of the body. Affecting millions of individuals of reproductive age worldwide, endometriosis can significantly impact quality of life due to its diverse and debilitating symptoms.

The biological basis of endometriosis is complex and multifactorial, involving genetic, hormonal, and immunological factors. It is recognized as a hormonally regulated disease, with its development and progression influenced by estrogen levels, and symptoms often ameliorated by treatments involving progesterone[1]. Inflammation and immune system dysfunction are also implicated in the disease’s pathogenesis[2]. Genetic predisposition plays a significant role, with studies indicating a substantial genetic contribution to the condition, particularly for moderate-to-severe forms [3].

Advances in genomic research, particularly through genome-wide association studies (GWAS), have shed light on the genetic architecture of endometriosis. To date, 19 independent single nucleotide polymorphisms (SNPs) have been significantly associated with the condition[1]. These studies have identified novel genetic loci, highlighting key genes involved in processes such as hormone metabolism[3]. Furthermore, research has uncovered significant genetic overlap between endometriosis and numerous other conditions. This includes a genetic correlation with 76 comorbidities, identifying shared pleiotropic and causal mechanisms underlying disease risk[4]. There is also documented genetic overlap with immunological diseases [2], and other pain and inflammatory conditions[5]. While specific GWAS-identified SNPs for endometriosis and endometrial cancer do not overlap, there is evidence of shared genetic predisposition factors and common hormonal regulation between the two diseases[1].

Clinically, endometriosis presents with a wide range of symptoms, including chronic pelvic pain, painful menstruation (dysmenorrhea), painful intercourse (dyspareunia), and infertility[6]. The diagnostic process can be challenging, often leading to significant diagnostic delays [6]. Endometriosis is also associated with a variety of comorbidities, such as uterine fibroids, ovarian cancer, and asthma[1]. Understanding these comorbidities and the underlying genetic connections is crucial for comprehensive patient care.

The social importance of endometriosis is substantial. Its chronic nature and debilitating symptoms can severely impact an individual’s physical and mental health, affecting daily activities, relationships, and professional life. The condition contributes significantly to healthcare burdens and lost productivity. Continued research into the genetic and biological underpinnings of endometriosis is vital for developing more effective diagnostic tools, targeted therapies, and ultimately, improving the lives of those affected.

Understanding the genetic and phenotypic landscape of endometriosis is subject to several limitations that influence the interpretation and generalizability of research findings. These challenges stem from methodological considerations, the inherent complexity of the disease, and demographic representation in studies. Acknowledging these limitations is crucial for contextualizing current knowledge and guiding future research directions.

Methodological and Statistical Constraints

Section titled “Methodological and Statistical Constraints”

Genetic studies of endometriosis, particularly those involving comorbidity analyses, can be constrained by the sample sizes of the comorbid traits, with some genetic correlation results showing significance only for traits with more than 5,000 cases, suggesting potential power limitations for smaller cohorts[4]. Furthermore, the ability to conduct certain advanced analyses, such as GSMR, is sometimes hampered by the infrequent reporting of essential data like effect allele frequencies in summary statistics [4]. Studies may also face limitations in detecting associations at a genome-wide level due to insufficient sample sizes [7]. The choice of control groups can also introduce potential biases; for example, using individuals with other benign gynecological diseases as controls rather than healthy women may affect the strength of observed associations [7]. Researchers often employ methods like genomic control to correct for residual population structure, which indicates a need to mitigate such biases in the analysis [5].

Phenotypic Heterogeneity and Diagnostic Challenges

Section titled “Phenotypic Heterogeneity and Diagnostic Challenges”

The definition and diagnosis of endometriosis present significant challenges that impact genetic research. The disease exhibits considerable phenotypic heterogeneity, ranging from mild to severe stages, and can be associated with varying clinical features such as infertility[6]. This variability makes unambiguous categorization difficult and affects the consistency of genetic signals. For instance, self-reported endometriosis cases may lead to disease misclassification, resulting in smaller observed effect sizes compared to analyses focused solely on surgically confirmed cases, which are considered more accurate[3]. Researchers have addressed this by performing sub-phenotype meta-analyses for specific stages (e.g., Stage I/II vs. Stage III/IV) or disease presentations (e.g., infertile endometriosis), acknowledging that different clinical manifestations might have distinct genetic underpinnings[5].

Generalizability and Unaccounted Etiological Factors

Section titled “Generalizability and Unaccounted Etiological Factors”

A significant limitation in current endometriosis research is the predominant representation of individuals of European ancestry in large-scale genetic studies[8]. While some studies include individuals of Japanese ancestry, the vast majority of participants are European, which limits the generalizability of findings to other diverse populations [8]. Differences in genetic architecture and allele frequencies across ancestries can lead to varying genetic effects and potentially missed associations in underrepresented groups. Beyond genetic factors, there remain significant knowledge gaps regarding the full spectrum of etiological factors contributing to endometriosis risk. The complex interplay of genetic predispositions with environmental or lifestyle factors, as well as gene-environment interactions, is not yet fully characterized and represents an area where further comprehensive investigation is needed to provide a complete understanding of disease development.

Endometriosis is a complex gynecological disorder influenced by a combination of genetic and environmental factors. Genetic studies have identified numerous variants across several genes that contribute to an individual’s susceptibility to this condition. These variants often impact key biological pathways involved in cell growth, migration, hormone response, and inflammation, which are all critical to the development and progression of endometriotic lesions.

Cell division cycle 42 (CDC42) is a crucial gene encoding a small GTPase, a type of protein that acts like a molecular switch to regulate diverse cellular functions, including cell morphology, migration, and cell cycle progression. This gene’s activity is partly influenced by estrogen, and its expression is altered in the endometrium of individuals with endometriosis, making it a strong candidate for involvement in the disease[6]. The variant rs10917151 , located in the WNT4 region, has been identified as a strongly associated single nucleotide polymorphism (SNP) with endometriosis, significantly increasing risk[6]. While the specific mechanisms for rs56319427 are still being explored, it is also found within the CDC42 gene, suggesting a potential role in modulating CDC42’s essential functions in cell growth and movement. Furthermore, the non-coding RNA CDC42-AS1, an antisense transcript to CDC42, with variants like rs72665317 , may impact CDC42 expression and function, thereby contributing to the abnormal cell behavior characteristic of endometriosis.

The genes SYNE1 and CCDC170, both located on chromosome 6q25.1, are associated with endometriosis and play roles in cell structure and regulation. SYNE1 encodes a large protein important for maintaining nuclear envelope integrity and facilitating cell migration, processes crucial for normal tissue development but potentially dysregulated in endometriosis. The variantrs71575922 within SYNE1 is a genome-wide significant risk locus for endometriosis, with its risk allele showing larger effects in more severe forms of the disease[3]. Similarly, CCDC170, a coiled-coil domain-containing protein, is implicated in cellular proliferation and differentiation, and its proximity to the estrogen receptor gene (ESR1) suggests a role in hormone-responsive pathways relevant to endometriosis. The variantrs1971256 in CCDC170 is also a genome-wide significant risk locus for endometriosis, exhibiting increased effects in moderate-to-severe cases[3]. Other variants like rs13211170 and rs17215781 in SYNE1, and rs7759516 and rs12173791 in CCDC170, likely contribute to these associations by influencing gene expression or protein function. Furthermore, the long non-coding RNA ARL14EP-DT, featuring variants such as rs11031005 , rs74485684 , and rs3858429 , including rs74485684 located near the FSHB gene, is identified as a novel risk locus for endometriosis, suggesting its involvement in hormone metabolism and disease pathogenesis[3].

Genes involved in hormone response, angiogenesis, and cell signaling pathways also show associations with endometriosis. GREB1, an estrogen-responsive gene, is critical for cell growth and proliferation in hormone-sensitive tissues, and variants likers11674184 , rs57439315 , and rs77294520 may modulate its activity, contributing to the abnormal proliferation seen in endometriosis. KDR, also known as VEGFR2, encodes a receptor for vascular endothelial growth factor (VEGF) and plays a central role in angiogenesis, the formation of new blood vessels, a process often dysregulated in endometriotic lesions[3]. Variants such as rs1903068 , rs73236109 , and rs9312656 near KDR are associated with endometriosis, potentially by altering blood vessel development or inflammatory responses. The small nucleolar RNA RN7SL822P, located in proximity to KDR, may also contribute to this pathology by influencing gene expression through RNA-mediated mechanisms. Furthermore, SMAD3 is a key component of the TGF-beta signaling pathway, which regulates cell growth, differentiation, and immune responses; its variants, includingrs56062135 , rs17293632 , and rs17228058 , could impact these fundamental cellular processes, leading to the inflammatory and fibrotic characteristics of endometriosis.

The CDKN2B-AS1 gene, a long non-coding RNA (lncRNA), is a significant locus associated with endometriosis and plays a critical role in regulating cell cycle progression. Located on chromosome 9p21.3, CDKN2B-AS1 influences the expression of tumor suppressor genes CDKN2A and CDKN2B, which are vital for controlling cell division and preventing uncontrolled growth. Dysregulation of this pathway, including loss of heterozygosity or hypermethylation of CDKN2A, has been observed in endometriosis[9]. The variant rs1537377 , found near CDKN2B-AS1, is an independently identified risk locus for endometriosis, suggesting its involvement in the disease’s pathogenesis by potentially altering cell proliferation or immune responses[3]. Other variants such as rs10122243 and rs2779747 may also contribute to endometriosis susceptibility by affecting the regulatory functions of CDKN2B-AS1 and the cellular mechanisms it controls, which include cell growth and senescence.

RS IDGeneRelated Traits
rs10917151
rs56319427
CDC42endometriosis
uterine fibroid
rs72665317 CDC42-AS1endometriosis
female infertility
rs71575922
rs13211170
rs17215781
SYNE1endometriosis
uterine fibroid
Uterine leiomyoma
rs11031005
rs74485684
ARL14EP-DThormone measurement, follicle stimulating hormone measurement
age at menarche
testosterone measurement
polycystic ovary syndrome
Ovarian cyst
rs3858429 ARL14EP-DTendometriosis
rs11674184
rs57439315
rs77294520
GREB1endometriosis
rs1903068
rs73236109
rs9312656
KDR - RN7SL822Pendometriosis
rs56062135
rs17293632
rs17228058
SMAD3coronary artery disease
asthma
asthma, allergic disease
thyroid carcinoma
eosinophilic esophagitis
rs7759516
rs12173791
rs1971256
CCDC170eosinophil count
endometriosis
rs10122243
rs2779747
rs1537377
CDKN2B-AS1endometriosis
monocyte count

Defining Endometriosis and Diagnostic Criteria

Section titled “Defining Endometriosis and Diagnostic Criteria”

Endometriosis is a complex and heterogeneous condition characterized by the presence of endometrial-like tissue outside the uterus. The definitive diagnosis of endometriosis relies on the direct visualization of these lesions during surgical procedures, with laparoscopy typically being the preferred method[5]. This operational definition often involves confirmation through biopsy-proven lesions or the identification of unambiguous gross lesions in operative reports [6]. Despite these established diagnostic criteria, challenges persist, as surgical visualization can fail to identify endometriosis in a notable percentage of instances[10]. This contributes to a significant diagnostic delay, which averages approximately seven years from symptom onset globally [5].

Classification Systems and Severity Gradations

Section titled “Classification Systems and Severity Gradations”

Endometriosis is primarily classified using the revised American Society of Reproductive Medicine (rASRM) criteria, which categorizes the disease based on the extent and appearance of lesions observed during surgery[5]. This system delineates severity into stages: Stage I/II disease is characterized by superficial peritoneal lesions and minimal adhesions, while Stage III/IV disease signifies more extensive manifestations, including cystic ovarian endometriosis (endometrioma) and widespread scarring, fibrosis, and adhesions[5]. It is important to note that the rASRM staging algorithm does not fully account for deep endometriosis, which involves lesions penetrating more than 5mm into tissues and can infiltrate organs such as the bowel, ureter, or bladder, including rectovaginal lesions[5]. The severity of endometriosis, as classified by these systems, has been shown to correlate with clinical features such as infertility[6].

The study of endometriosis frequently employs terminology that describes its relationships with other health conditions, often referred to as comorbidities. These associations can suggest common etiological pathways or underlying biological mechanisms[4]. Key terms in this context include “pleiotropic” and “causal mechanisms,” which indicate that shared genetic or biological factors may contribute to the risk of developing multiple diseases [4]. Large-scale epidemiological studies have implicated many traits as comorbid with endometriosis, encompassing specific gynecological conditions like leiomyoma of the uterus (D25), salpingitis and oophoritis (N70), noninflammatory disorders of the ovary, fallopian tube, and broad ligament (N83), and female infertility (N97)[4]. Furthermore, research highlights genetic overlap and an increased risk with conditions such as endometrial cancer and various immunological diseases[1].

Endometriosis is a heterogeneous condition characterized by a wide spectrum of clinical presentations and varying severity among individuals[4]. The definitive diagnosis of endometriosis relies on the direct visualization of lesions during surgery, typically via laparoscopy[5]. This surgical assessment allows for the classification of disease severity using criteria such as the revised American Society of Reproductive Medicine (rASRM) staging system, which categorizes disease from superficial peritoneal lesions and minimal adhesions (stages I/II) to more extensive involvement including cystic ovarian endometriosis (endometrioma), significant scarring, fibrosis, and adhesions (stages III/IV)[5]. The severity of endometriosis has been correlated with clinical features such as infertility[6].

Despite the established staging systems, the phenotypic diversity of endometriosis is complex, as deep endometriosis—defined by lesions greater than 5mm in depth that can infiltrate organs like the bowel, ureter, or bladder, including rectovaginal lesions—is a significant clinical phenotype not accounted for in the rASRM staging algorithm[5]. The diagnostic process is often protracted, with a global average delay of approximately 7 years from symptom onset to definitive diagnosis [5]. Moreover, even with surgical visualization, diagnostic surgery fails to identify endometriosis in one in four instances, underscoring the challenges in definitive diagnosis[10].

Endometriosis frequently co-occurs with multiple other conditions, and recognizing these comorbidities can provide crucial insights into its underlying biological mechanisms and aid in differential diagnosis[4]. Large-scale epidemiological studies have identified numerous associated traits, including a significant phenotypic and genetic association with various immunological diseases, as well as other pain and inflammatory conditions[5]. Beyond physical symptoms, psychiatric conditions such as depression, anxiety, and an increased risk of self-directed violence have also been observed in women with endometriosis[11].

The condition is also associated with an increased risk of uterine fibroids and ovarian cancer[1]. While epidemiological evidence regarding a link with endometrial cancer has been conflicting, some studies indicate a significant 2.6-fold increased risk of endometrial cancer in women with surgically confirmed endometriosis diagnosed more than one year prior to cancer[1]. Other reported comorbidities include asthma and migraine, suggesting potential shared genetic or environmental predispositions and pleiotropic mechanisms underlying disease risk[8]. These widespread clinical correlations and associated conditions serve as important diagnostic indicators and can influence overall patient management and prognosis.

Endometriosis is a complex condition influenced by a combination of genetic, epigenetic, hormonal, and systemic factors. The precise mechanisms are still being elucidated, but research points to multiple interacting pathways contributing to its development and progression.

Genetic Predisposition and Molecular Pathways

Section titled “Genetic Predisposition and Molecular Pathways”

Endometriosis exhibits a significant genetic component, with studies consistently demonstrating its heritability.[12]Genome-wide association studies (GWAS) have identified numerous independent single nucleotide polymorphisms (SNPs) significantly associated with endometriosis risk, indicating a polygenic nature.[1]These genetic variants often implicate key biological processes such as hormone metabolism and mitogen-activated protein kinase (MAPK) signaling, which are crucial for cellular growth, differentiation, and inflammation.[3]

Further research indicates genetic overlap with other conditions, suggesting shared underlying pathways. For instance, a proportion of endometrial cancer cases share genetic predisposition factors with endometriosis, although the specific genome-wide associated SNPs identified for each disease may not directly overlap.[1]Cross-disease genetic correlation analyses have also identified shared loci between endometriosis and conditions like asthma, pointing to common genetic influences on sex hormones and thyroid signaling pathways.[8]

Beyond direct genetic inheritance, epigenetic mechanisms play a role in the development of endometriosis. Altered DNA methylation and expression patterns, similar to those seen in cancer, have been reported in endometriosis tissue.[1]Specific SNPs associated with endometriosis risk have been linked to DNA methylation changes at nearby CpG sites in both endometrial and blood samples, suggesting that genetic predisposition can influence epigenetic regulation.[5]

Hormonal regulation is a critical factor, as endometriosis is considered a hormonally regulated disease. Increased exposure to higher levels of estrogen is associated with an elevated risk, while treatments involving progesterone or contraceptive pills can ameliorate symptoms.[1]This highlights a significant gene-environment interaction, where genetic predispositions, potentially involving hormone metabolism genes, interact with endogenous or exogenous hormonal environments to influence disease susceptibility and progression.

Endometriosis frequently coexists with a variety of other conditions, a phenomenon known as comorbidity.[4]This co-occurrence suggests common underlying aetiological pathways and shared molecular disease mechanisms.[4]Large-scale epidemiological studies have implicated many traits as comorbid with endometriosis, including immunological diseases, uterine fibroids, and ovarian cancer.[4]

The link between endometriosis and endometrial cancer, for example, extends beyond shared genetic factors to include common risk factors, histopathologic similarities, and molecular features.[1]Dysregulation of genes typically associated with endometrial cancer, such as PTEN and other genes in the Ingenuity “endometrial cancer pathway,” has also been observed in endometriosis.[1]These shared biological foundations underscore a complex interplay of factors contributing to the disease.

Dysregulated Cellular Signaling and Proliferation

Section titled “Dysregulated Cellular Signaling and Proliferation”

Endometriosis involves significant dysregulation of various intracellular signaling pathways that govern cell proliferation and survival. The mitogen-activated protein kinase (MAPK) pathways, including ERK1/2, p38, and JNK, are notably enriched and play a crucial role in regulating cell proliferation in mammalian cells. ometrial stromal cells of individuals with endometriosis, contributing to the disease’s overall pathogenesis. ometrial tissue.

Beyond the MAPK cascades, other signaling mechanisms are also implicated in endometriosis pathophysiology. The WNT/beta-catenin pathway influences the expression of survival-promoting genes, while Src-family kinases such as SRC and BLK contribute to CLDN6-adhesion signaling, suggesting roles in cell-cell interactions and the establishment of ectopic lesions. ometriosis both in vitro and in vivo. ometriosis is fundamentally influenced by hormonal regulation, with genetic analyses highlighting key genes involved in hormone metabolism and emphasizing the significant role of sex hormones. ometriosis, while therapeutic interventions involving progesterone can alleviate symptoms, indicating critical feedback loops and regulation within metabolic pathways. ometrial implants.

Moreover, studies on genetic overlap between endometriosis and other conditions like asthma have identified shared loci that implicate sex hormones and thyroid signaling pathways. endocrine dysregulation contributing to the disease. Such systemic metabolic shifts are crucial for the ectopic tissue’s ability to survive and proliferate in diverse anatomical locations, influencing overall metabolic flux control and disease progression.

Genetic and Epigenetic Regulatory Mechanisms

Section titled “Genetic and Epigenetic Regulatory Mechanisms”

Genome-wide association studies (GWAS) have been instrumental in identifying numerous single nucleotide polymorphisms (SNPs) that are significantly associated with endometriosis, providing crucial insights into its genetic underpinnings. ometriosis. ometrial tissue.

Systems-Level Integration and Immunological Crosstalk

Section titled “Systems-Level Integration and Immunological Crosstalk”

Endometriosis exhibits substantial genetic and phenotypic overlap with a range of immunological diseases and other comorbidities, including migraine, asthma, and endometrial cancer, underscoring extensive pathway crosstalk and network interactions. ometriosis itself. ometriosis is a complex, chronic condition with significant clinical implications, affecting diagnosis, treatment, and long-term patient outcomes. Its varied presentation and overlap with numerous other health conditions necessitate a comprehensive understanding for effective patient management. Genetic and epidemiological studies are increasingly illuminating the intricate relationships between endometriosis and other diseases, providing critical insights into shared biological pathways and informing personalized medicine approaches.

Endometriosis frequently coexists with multiple other conditions, and large-scale epidemiological studies have implicated a wide range of traits as comorbid[4]. Investigating these comorbid relationships offers valuable insights into the underlying molecular disease mechanisms and biology, suggesting common etiological pathways[4]. For instance, significant phenotypic and genetic associations have been observed between endometriosis and various immunological diseases[2]. Furthermore, shared molecular genetic mechanisms have been identified that underlie the comorbidity between endometriosis and migraine[8]. Beyond physical ailments, endometriosis is also associated with mental health conditions, including increased risks of depression, anxiety, and self-directed violence[11].

The relationship between endometriosis and endometrial cancer is particularly complex, with evidence suggesting a genetic overlap and shared predisposition factors[1]. While epidemiological studies have presented conflicting evidence, some research indicates an increased risk of endometrial cancer in women with endometriosis, particularly those with surgically confirmed diagnoses more than a year prior[1]. This association is complicated by factors such as diagnostic delays, small sample sizes, and the inability to adjust for potential confounders like oral contraceptive use and parity in some studies [1]. However, shared risk factors, histopathologic features, and molecular changes, including dysregulation of endometrial cancer-associated genes like PTEN, underscore a potential biological link[1].

A definitive diagnosis of endometriosis typically requires surgical visualization of lesions, which contributes to a substantial diagnostic delay, globally averaging seven years from symptom onset[5]. This diagnostic challenge is further compounded by the fact that surgical visualization fails to identify endometriosis in approximately one in four instances[10]. The condition itself is highly heterogeneous, commonly classified by revised American Society of Reproductive Medicine (rASRM) criteria based on surgical findings, distinguishing between superficial peritoneal lesions and more extensive disease involving ovarian endometriomas, scarring, and adhesions[5]. However, deep infiltrating endometriosis, characterized by lesions deeper than 5mm that can involve organs like the bowel or bladder, is not adequately accounted for in the rASRM staging algorithm[5].

This diagnostic delay and the inherent heterogeneity of endometriosis contribute to variations in symptom severity and treatment response among individuals[4]. Research indicates that endometriosis severity correlates with other clinical features, including infertility and the duration of diagnostic delay[6]. A deeper understanding of the genetic and molecular underpinnings of this heterogeneity, including the estimated heritability of approximately 50% with about 26% attributed to common genetic variation, is crucial for developing more accurate non-invasive diagnostic tools and tailored treatment strategies [5].

Risk Stratification and Prognostic Implications

Section titled “Risk Stratification and Prognostic Implications”

The growing understanding of the genetic architecture of endometriosis, including its overlap with other conditions, offers significant prognostic value for predicting disease progression, treatment response, and long-term implications[4]. Identifying individuals at high risk for endometriosis, as well as for its associated comorbidities like immunological diseases, migraine, or even endometrial cancer, is becoming increasingly feasible through genetic characterization[2]. This risk stratification can facilitate earlier intervention and more targeted surveillance, moving towards a personalized medicine approach.

Insights into shared genetic predispositions and pleiotropic mechanisms underlying endometriosis and its comorbidities can inform prevention strategies and improve long-term management[4]. For example, recognizing the genetic links and molecular dysregulation shared with endometrial cancer could lead to enhanced screening protocols for at-risk individuals with endometriosis, despite the current complexities in epidemiological evidence[1]. By leveraging these advancements, clinicians can better assess individual patient risk profiles, select more effective treatments, and implement monitoring strategies that account for the multifaceted nature of endometriosis and its potential impact on overall health.

Frequently Asked Questions About Endometriosis

Section titled “Frequently Asked Questions About Endometriosis”

These questions address the most important and specific aspects of endometriosis based on current genetic research.


1. My mom had severe endometriosis; does that mean I’ll definitely get it too?

Section titled “1. My mom had severe endometriosis; does that mean I’ll definitely get it too?”

While there’s a significant genetic predisposition to endometriosis, especially for moderate-to-severe forms, it doesn’t mean you’ll definitely get it. Genetics play a big role in your risk, but the condition is also influenced by hormonal and immunological factors. Your genes might increase your likelihood, but they aren’t the sole determinant.

2. Why do I have endometriosis, but my sister, who’s so similar, doesn’t?

Section titled “2. Why do I have endometriosis, but my sister, who’s so similar, doesn’t?”

Endometriosis is complex and multifactorial, meaning many things contribute to it. Even with shared genetics, individual differences in hormonal balance, immune system function, and other environmental factors can lead to one sibling developing the condition and another not. The disease also shows a lot of variety in how it presents, even among family members.

Yes, there’s evidence of genetic overlap between endometriosis and other conditions like asthma. Research shows a genetic correlation with 76 comorbidities, including immunological diseases and inflammatory conditions. This suggests shared genetic mechanisms that contribute to the risk for both endometriosis and other health issues you might experience.

4. Can a genetic test tell me if I’m at high risk for endometriosis?

Section titled “4. Can a genetic test tell me if I’m at high risk for endometriosis?”

Genetic research has identified 19 specific genetic markers (SNPs) associated with endometriosis, highlighting genes involved in processes like hormone metabolism. While these findings are important for understanding risk, genetic testing for endometriosis is still largely a research tool. It’s not yet a definitive diagnostic or risk prediction test widely used in clinical practice, but it’s an active area of research for better diagnostic tools.

Endometriosis is known for its phenotypic heterogeneity, meaning it can present very differently from person to person, both in terms of stage and specific symptoms like pain. These variations in how the disease manifests can be influenced by different genetic underpinnings. This is why researchers often study specific sub-types of the condition.

6. I’m not of European descent; does my background affect my endometriosis risk?

Section titled “6. I’m not of European descent; does my background affect my endometriosis risk?”

Yes, your ancestry can potentially affect your endometriosis risk and how the disease is understood. Most large-scale genetic studies have focused on individuals of European ancestry, which limits how broadly those findings apply to other populations. Differences in genetic makeup and allele frequencies across diverse ancestries mean that risk factors and disease presentation can vary.

There is a documented association between endometriosis and ovarian cancer. While the specific genetic markers identified for each condition don’t directly overlap, there is evidence of shared genetic predisposition factors and common hormonal regulation that links the two diseases. This emphasizes the importance of understanding all your health risks.

8. Does stress or my daily habits make my endometriosis symptoms worse?

Section titled “8. Does stress or my daily habits make my endometriosis symptoms worse?”

Endometriosis is a multifactorial condition involving genetic, hormonal, and immunological factors. While the article doesn’t specifically detail the role of stress or daily habits, these factors can certainly influence your hormonal balance and immune system function, which are key players in endometriosis development and symptom severity. Managing stress and maintaining healthy habits can support your overall well-being.

9. Why did it take so many years for me to finally get diagnosed?

Section titled “9. Why did it take so many years for me to finally get diagnosed?”

Diagnostic delays are unfortunately very common with endometriosis. This is partly due to the disease’s significant phenotypic heterogeneity, meaning its symptoms vary widely and can mimic other conditions, making it hard to categorize unambiguously. Self-reported cases can also be misclassified, and surgical confirmation is often needed for accuracy, all contributing to a challenging diagnostic process.

While genetics contribute significantly to endometriosis risk, it’s a multifactorial condition involving genetic, hormonal, and immunological factors. This means that while you can’t change your genetic predisposition, lifestyle factors that influence your hormones and immune system can play a role. Focusing on overall health and working with your doctor on management strategies can help mitigate symptoms and potentially influence disease progression.


This FAQ was automatically generated based on current genetic research and may be updated as new information becomes available.

Disclaimer: This information is for educational purposes only and should not be used as a substitute for professional medical advice. Always consult with a healthcare provider for personalized medical guidance.

[1] Painter, J. N. et al. “Genetic overlap between endometriosis and endometrial cancer: evidence from cross-disease genetic correlation and GWAS meta-analyses.”Cancer Med, 2018.

[2] Shigesi, N., et al. “The phenotypic and genetic association between endometriosis and immunological diseases.”Hum Reprod, 2024.

[3] Sapkota, Y. et al. “Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism.”Nat Commun, 2017.

[4] McGrath, I. M. et al. “Genomic characterisation of the overlap of endometriosis with 76 comorbidities identifies pleiotropic and causal mechanisms underlying disease risk.”Hum Genet, 2023.

[5] Rahmioglu, N. et al. “The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions.”Nat Genet, 2023.

[6] Albertsen, H. M. et al. “Genome-wide association study link novel loci to endometriosis.”PLoS One, 2013.

[7] Chou, Y. C., et al. “Integration of genome-wide association study and expression quantitative trait locus mapping for identification of endometriosis-associated genes.”Scientific Reports, vol. 11, no. 1, 2021, 959.

[8] Adewuyi, E. O., et al. “Genetic overlap analysis of endometriosis and asthma identifies shared loci implicating sex hormones and thyroid signalling pathways.”Human Reproduction, vol. 35, 2022, PMID: 35472084.

[9] Nyholt, D. R., et al. “Genome-wide association meta-analysis identifies new endometriosis risk loci.”Nat Genet, 2012.

[10] Fernando, S. et al. “Reliability of visual diagnosis of endometriosis.”J Minim Invasive Gynecol, vol. 20, no. 6, 2013, pp. 783–789.

[11] Estes, S. J. et al. “Depression, anxiety, and self-directed violence in women with endometriosis: a retrospective matched-cohort study.”Am J Epidemiol, vol. 190, no. 5, 2021, pp. 843–852.

[12] Stefansson, H., et al. “Genetic factors contribute to the risk of developing endometriosis.”Human Reproduction, vol. 17, no. 3, 2002, pp. 555–559.