Endometriosis, a chronic inflammatory disease that affects approximately one in ten women of reproductive age—around 190 million worldwide—remains poorly understood from a biological perspective, which has historically hindered both its accurate diagnosis and the development of effective treatments. Now, an international study published in Nature Genetics provides new data to better understand the genetic basis and mechanisms involved in this condition.
The work, which analyzes genetic information from nearly 1.4 million women, including more than 100,000 cases of endometriosis, constitutes the largest study conducted to date on this disease. The research has been carried out by researchers in several institutions: Yale University (United States), Universitat de Barcelona, and the Sant Pau Research Institute (IR Sant Pau), among other centers in Europe and the United States. Its results have identified 80 regions of the genome associated with the risk of developing endometriosis, 37 of which had not been previously described, representing a significant advance in understanding its genetic architecture.
“When we study a disease, we need to understand its biological basis. If we do not know what is happening at the molecular level, it is very difficult to develop effective treatments or improve diagnosis,” explains Dr. Dora Koller, from the Perinatal and Women’s Health research group at IR Sant Pau and lead author of the study, who adds that basic research in endometriosis has arrived later than in other areas, which has limited understanding of the disease for years.
“This research leverages a multidisciplinary collaboration to improve endometriosis care. We are dedicated to translating our findings into actionable solutions for women worldwide,” said Dr. Renato Polimanti, senior author and Associate Professor of Psychiatry at the Yale School of Medicine.
This international study also highlights the participation of experts Bru Cormand, Marina Mitjans, and Selena Aranda, from the University of Barcelona Institute of Biomedicine (IBUB), the Sant Joan de Déu Research Institute (IRSJD), and the Mental Health (CIBERSAM) and Rare Diseases (CIBERER) areas of the CIBER.
An Integrative Approach to Understanding the Disease
Beyond the identification of new genetic regions, one of the main advances of the study is its ability to translate these findings into biological knowledge. The researchers did not limit themselves to identifying statistical associations typical of genome-wide studies but integrated genetic data with multiple layers of functional information to understand how these variants influence the expression of genes and proteins and epigenetic processes. This approach has made it possible to go beyond the simple identification of genetic risk and to connect these associations with real biological processes, providing a more comprehensive and mechanistic view of the pathophysiology of endometriosis.
The results indicate that the disease does not respond to a single mechanism but to the interaction of multiple biological processes acting simultaneously and contributing both to its onset and progression. These include inflammation, altered immune response, tissue remodeling, cell proliferation and differentiation, and the formation of new blood vessels, processes that help explain the diversity of clinical manifestations observed among patients.
“What we see is that there is probably not a single cause, but many possible pathways that can contribute to the disease, and these likely vary between women,” notes Dr. Koller. “This finding reinforces the idea that endometriosis should be understood as a complex and systemic disease in which multiple interrelated biological mechanisms are involved,” she continues.
A Heterogeneous Disease With Poorly Defined Subtypes
This biological complexity is reflected in the wide clinical variability of the disease. Some women have hardly any symptoms, while others experience severe and disabling pain or infertility problems that significantly affect their quality of life. This diversity, both in clinical presentation and progression, highlights that endometriosis does not follow a single pattern.
In clinical practice, current classification is mainly based on surgical criteria or the location of lesions, which is limited, as it does not adequately explain differences in symptoms, progression, or response to treatment. This lack of more precise diagnostic tools also contributes to the fact that diagnosis of the disease is often delayed for an average of 7-10 years, even in women with evident symptoms.
“We need to move toward a more biologically based classification, similar to what has happened in cancer, where we now distinguish different subtypes with different behaviors and treatments,” notes Dr. Koller. She also acknowledges that this diagnostic delay is part of the experience of many women. As a patient with endometriosis, she notes that “in my case, it took 15 years to obtain a diagnosis, despite having clear and debilitating symptoms.”
This shift in approach would not only improve understanding of the disease but also allow diagnosis and treatment to be adapted to the specific characteristics of each patient, a key step toward more personalized medicine.
The Combined Role of Genetics and Environmental Factors
The study provides new insights into the role of genetics in endometriosis, although it confirms that genetic predisposition alone does not explain the development of the disease. Genetics only partly explain the development and progression of endometriosis, reinforcing the idea that the disease follows a complex model involving multiple factors.
In this regard, the results suggest that the interaction between genetics, environmental factors, and epigenetic mechanisms is not deterministic. Elements such as diet, exposure to certain chemical compounds, and many other factors may modulate its development and progression.
This approach helps explain why women with a similar genetic predisposition may present very different clinical trajectories, both in the onset of symptoms and in their severity or response to treatment. The observed variability does not depend solely on genetic load but on how it interacts with the environment over time.
Moreover, the analysis of polygenic risk combined with clinical information provides a particularly relevant result: in some cases, symptoms and comorbidities may play a more decisive role than genetics itself in identifying the disease. This finding challenges the idea that genetic risk is always the main indicator and reinforces the importance of a comprehensive clinical evaluation.
“In clinical practice, symptoms remain a key piece,” notes Dr. Koller. “Listening to patients and understanding their clinical history is essential when guiding diagnosis.” This perspective reinforces the need to more closely integrate genetic and clinical information in healthcare practice, with the aim of improving patient identification and advancing toward more precise and personalized care models.
New Opportunities for Diagnosis and Personalized Treatment
The study findings have direct implications in the clinical setting. Currently, the treatment of endometriosis is largely based on a trial-and-error approach, in which many patients try different therapies without obtaining satisfactory results, reflecting the lack of tools to predict individual response to treatments.
“The problem is not only that treatments do not work the same in all patients but that we do not have enough tools to anticipate which option will be most appropriate in each case,” explains Dr. Koller. “Genetics can help us better understand what is happening in each patient and guide therapeutic decisions more closely aligned with their biological profile.”
In this way, the integration of genetic, clinical, and molecular information opens the door to a more personalized approach, in which treatment can be adapted to the specific characteristics of each patient. This shift would improve the effectiveness of therapies and reduce unnecessary exposure to ineffective treatments.
The study also identifies potential new therapeutic options through the repurposing of existing drugs, a strategy that allows accelerating the application of new treatments for endometriosis by building on medications with already known safety profiles. These include drugs used in oncology and others such as nortriptyline, which could have a dual effect by acting on both chronic pain and depression, two conditions frequently associated with the disease.
Clinical Impact, Diagnostic Challenges, and the Need for a Gender Perspective
Beyond its scientific contribution, this research is rooted in an urgent clinical and social reality: endometriosis remains a widely underdiagnosed disease that is too often normalized or dismissed. Diagnosis is frequently delayed by several years, a delay that not only limits access to appropriate treatment but also allows pain to become chronic and complications such as fertility problems or emotional distress to develop, among many others. It is precisely this reality that makes advancing our biological understanding of the disease so critical.
“Severe pain is never normal. If a woman cannot get out of bed during menstruation, it is a sign that something is wrong, and we must investigate it,” emphasizes Dr. Koller. Beyond the specific case of endometriosis, these results point to a broader challenge in biomedical research. “Diseases that exclusively affect women have historically been under-researched and have received fewer resources,” notes Dr. Koller. “Incorporating a gender perspective in research is not only a matter of equity but a necessity to advance knowledge and improve care.”
Reference Article:
Koller D, He J, Løkhammer S, Aranda S, Qiu D, Davtian D, Chen Q, Xu Z, Mao Z, Friligkou E, Karaca S, Cormand B, Flores I, Altmäe S, Mitjans M, Cabrera-Mendoza B, Polimanti R. Multi-ancestry genome-wide association and integrated multi-omics analyses of endometriosis and its clinical manifestations. Nature Genetics. 2026. https://doi.org/10.1038/s41588-026-02582-2