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At least 19 recordsLinked to original sources
PubMed2024

Diagnostic delay in monogenic disease: A scoping review.

PURPOSE: Diagnostic delay in monogenic disease is reportedly common. We conducted a scoping review investigating variability in study design, results, and conclusions. METHODS: We searched the academic literature on January 17, 2023, for original peer reviewed journals and conference articles that quantified diagnostic delay in monogenic disease. We abstracted the reported diagnostic delay, relevant study design features, and definitions. RESULTS: Our search identified 259 articles quantifying diagnostic delay in 111 distinct monogenetic diseases. Median reported diagnostic delay for all studies collectively in monogenetic diseases was 5.0 years (IQR 2-10). There was major variation in the reported delay within individual monogenetic diseases. Shorter delay was associated with disorders of childhood metabolism, immunity, and development. The majority (67.6%) of articles that studied delay reported an improvement with calendar time. Study design and definitions of delay were highly heterogenous. Three gaps were identified: (1) no studies were conducted in the least developed countries, (2) delay has not been studied for the majority of known, or (3) most prevalent genetic diseases. CONCLUSION: Heterogenous study design and definitions of diagnostic delay inhibit comparison across studies. Future efforts should focus on standardizing delay measurements, while expanding the research to low-income countries.

Humans↗
PubMed1979

Delay in the diagnosis of insulinomas.

The median diagnostic delay in 32 patients with verified insulinomas was 2 3/4 years (range 1/4--18). The median delay in the 1939--1958 period was shorter (2 years, n = 17) than in the 1959--1978 period (3 years, n = 15). Thus, modern developments with insulin estimations were without noticeable effect upon the diagnostic delay. The findings can probably only be explained by a poor awareness of the insulinoma syndrome in the medical profession.

Adenoma, Islet Cell↗
PubMed2026

Guidelines for Genetic Testing of Peripheral Nerve Disorders.

Inherited peripheral neuropathies (IPNs) comprise a clinically and genetically heterogeneous group of disorders affecting approximately 1 in 2500 individuals and represent one of the most common inherited neurologic diseases. The rapidly expanding identification of disease-causing genes and the widespread implementation of next-generation sequencing (NGS) have fundamentally transformed the diagnostic evaluation of these disorders. Contemporary molecular testing has substantially increased diagnostic yield, shortened the diagnostic delay, refined disease classification, and strengthened genotype-phenotype correlations. In the United States, NGS-based multigene panels have become the most cost-effective first-line molecular diagnostic approach for most patients with suspected inherited neuropathies, whereas phenotype-directed single-gene testing remains appropriate in selected clinical circumstances and in healthcare systems in which access to comprehensive sequencing is limited. Despite these advances, challenges continue to affect diagnostic accuracy, including interpretation of variants of uncertain significance, detection of copy number variants and repeat expansions, technical limitations associated with highly homologous genomic regions such as SORD, and variability in gene content and analytic performance among commercially available testing platforms. Accurate diagnosis therefore requires integration of clinical phenotype, electrodiagnostic findings, family history, and molecular data. Establishing a precise genetic diagnosis has become increasingly important because it improves prognostic accuracy, guides genetic counseling and cascade testing, identifies patients with treatable hereditary neuropathies such as transthyretin amyloidosis, and facilitates enrollment in gene-specific clinical trials and emerging precision therapies. An evidence-based, phenotype-driven approach that incorporates contemporary molecular technologies is essential to maximize diagnostic efficiency while recognizing the strengths and limitations of currently available genetic testing strategies.

Charcot–Marie–tooth disease↗
PubMed1979

Identification of impaired hearing in early childhood.

Although the incidence of congenital deafness is high, routine neonatal screening for this problem is not practised, and early identification of congenital or early acquired deafness is relatively rare. Delaying therapy until a child is 3 or more years old severely limits speech development, language acquisition and learning. The commonest causes of delay in diagnosis are the refusal of physicians to listen to the parents' observations, their failure to screen children for hearing and speech problems, and their reluctance to arrange prompt referral for audiologic assessment. Diagnostic delay occurs even though half the children who have impaired hearing are known to be at increased risk. A plea is made for the setting up of a register of infants known to be at risk for impaired hearing. First-contact physicians should be alert to the possibility of hearing problems, particularly in children at high risk. Screening methods for use by nonspecialist practitioners are outlined.

Age Factors↗
PubMed2026

Re-emerging Marburg virus disease in Africa: spillover ecology, geographic expansion, and surveillance vulnerabilities.

Marburg virus disease (MVD) is re-emerging across Africa as a high-consequence zoonosis shaped by expanding ecological suitability, repeated spillover, and uneven surveillance capacity. This review synthesizes current evidence on the ecological, epidemiological, and operational determinants of contemporary Marburg virus (MARV) emergence. We conceptualize MVD as an ecological-emergence system produced by interactions among reservoir-host biology, environmental change, human exposure, health-system readiness, and mobility, rather than as a series of isolated outbreaks. Recent detections in multiple African regions indicate wider enzootic circulation than previously recognized and support repeated, reservoir-associated introductions from distributed ecological foci. Spillover risk is heightened where mining, land-use change, agricultural encroachment, settlement growth, climate-sensitive habitat disruption, and population movement increase contact with Egyptian rousette bats (Rousettus aegyptiacus) and contaminated roost environments. Following primary spillover, diagnostic delays, fragmented surveillance, limited laboratory decentralization, healthcare-associated transmission, and mobility-linked exposure can enable outbreak amplification and delayed recognition. Serological findings further suggest possible "shadow epidemiology," with unrecognized or mild MARV infections occurring outside confirmed outbreak chains. Critical preparedness gaps persist in ecological risk mapping, longitudinal reservoir surveillance, decentralized molecular diagnostics, genomic sequencing, data integration, and cross-border early warning. Future preparedness should move beyond reactive containment toward integrated One Health approach combining predictive ecological surveillance, rapid community-level detection, real-time genomics, infection prevention, risk communication, and regional coordination to identify spillover early and prevent human transmission.

Animals↗
PubMed2026

AI echo INSIGHT study: A prospective blinded randomized trial of artificial intelligence echocardiogram interpretation.

BACKGROUND: Transthoracic echocardiography (TTE) is the most commonly performed cardiac imaging modality with over 30 million studies annually. Demand for timely expert interpretation continues to outpace capacity, creating diagnostic delays and inter-observer variability that impact patient care. Recent research has suggested computer vision artificial intelligence (AI) models can generate accurate preliminary comprehensive TTE reports, however, prospective evaluation is needed to determine whether AI-assisted TTE interpretation can improve clinician efficiency while preserving diagnostic accuracy. METHODS: AI ECHO INSIGHT is a prospective randomized blinded clinical trial conducted at Kaiser Permanente Northern California that will evaluate 1200 historical TTE studies (1000 consecutive unselected studies plus 200 with moderate or greater valvular disease) interpreted using three workflows: (1) AI-generated preliminary report finalized by a blinded cardiologist (AI-assisted); (2) cardiologist-generated preliminary report finalized by a blinded cardiologist (cardiologist-assisted); and (3) sonographer-generated preliminary report finalized by a blinded cardiologist (sonographer-assisted). The primary outcome is the rate of substantial change between preliminary and final reports, comparing the AI-assisted workflow to the pooled cardiologist-assisted and sonographer-assisted workflows. Secondary outcomes include cardiologist interpretation time for report finalization, superiority testing for diagnostic accuracy, and reporting consistency. CONCLUSION: AI ECHO INSIGHT is a prospective randomized blinded clinical trial evaluating the clinical impact of AI-assisted TTE interpretation on diagnostic accuracy, cardiologist efficiency, and reporting consistency in real-world echocardiography workflows. TRIAL REGISTRATION: ClinicalTrials.gov registration number NCT07229300.

Humans↗
PubMed2025

Antifungal treatment strategies and their impact on resistance development in clinical settings.

Invasive fungal diseases, particularly among immunocompromised patients, represent a growing clinical challenge due to limited therapeutic options, diagnostic delays and escalating antifungal resistance. Fungal pathogens employ diverse resistance mechanisms, including genetic mutations of antifungal target enzymes, biofilm formation, efflux pump overexpression and reduced drug penetration, which compromise the efficacy of clinically available antifungal classes. This review explores antifungal treatment modalities and evaluates approaches to mitigate resistance development. Advanced diagnostics and therapeutic drug monitoring are pivotal for enabling timely, targeted therapies and personalizing treatment plans, thus minimizing reliance on broad-spectrum agents. New antifungal agents, such as rezafungin, olorofim and fosmanogepix, along with long-acting and advanced formulations plus combination regimens, show substantial promise for managing resistance and improving treatment outcomes. Additionally, the development of immunotherapies and antifungal vaccines offers new avenues for bolstering host defences against fungal pathogens. Addressing antifungal resistance demands a multifaceted 'One Health' approach that integrates robust diagnostics, antifungal stewardship (AFS), precision medicine and collaborative global efforts. By advancing drug formulations, enhancing diagnostic tools and implementing forward-thinking AFS practices, the healthcare community can better tackle the escalating burden of fungal infections and deliver improved patient outcomes.

Antifungal Agents↗
PubMed1979

Chronic progressive coccidioidal pneumonitis. Report of six cases with clinical, roentgenographic, serologic, and therapeutic features.

Chronic progressive coccidioidal pneumonitis (CPCP) is an uncommon sequela of acute pulmonary coccidiodomycosis. Six recent patients with CPCP are described, most of whom were previously healthy. The clinical presentation was indolent, resulting in long diagnostic delays. Serial chest roentgenograms showed progressive pulmonary infiltration and sputum cultures were persistently positive for Coccidioides immitis. Serum complement fixation (CF) antibody titers were high, with five of six patients having titers greater than or equal to 1:16. No patients had evidence of extrapulmonary coccidioidal spread at time of diagnosis of CPCP, although hematogenous dissemination occurred later in one patient. Five patients received amphotericin B intravenously (greater than or equal to 30 mg/kg total), resulting in rapid clinical and mycologic cure, decline in CF titers, and roentgenographic improvement or stabilization. However, two of these five patients suffered permanent physiologic impairment. One patient refused therapy and remains clinically symptomatic, with chronic positivity of sputum cultures for C immitis and high CF titers.

Adult↗
PubMed2026

Respiratory manifestations as clues to inherited metabolic disorders in children: a phenotype-driven diagnostic approach.

UNLABELLED: Inherited metabolic disorders (IMDs) are uncommon but clinically important causes of respiratory morbidity in children. Respiratory involvement may be the first or dominant manifestation, although it may precede, accompany, or follow systemic involvement. Because cough, dyspnea, hypoxemia, recurrent infection, abnormal chest imaging, and ventilatory failure are non-specific, affected children may initially be managed for common respiratory conditions, such as infection, asthma, aspiration, immunodeficiency, or non-metabolic diffuse lung disease, before the underlying IMD is recognized. This narrative mini-review presents a phenotype-driven approach to recognizing IMDs in pediatric respiratory practice. Rather than cataloguing rare disorders by metabolic pathway, it organizes respiratory involvement into practical clinical entry points: diffuse lung disease, pulmonary alveolar proteinosis-like disease, pulmonary vascular disease, recurrent infection or bronchiectasis, upper-airway or thoracic restriction, and neuromuscular respiratory failure and aspiration. For each pattern, we highlight extrapulmonary red flags and first-line biochemical, enzymatic, and genetic tests that may guide early etiological diagnosis. CONCLUSION: Careful recognition of respiratory phenotypes, combined with targeted metabolic and genomic evaluation, may shorten diagnostic delay and allow disease-specific treatment before irreversible pulmonary or neurological injury occurs. WHAT IS KNOWN: • IMDs can involve the respiratory system and may mimic common pediatric respiratory disorders or non-metabolic forms of childhood diffuse lung disease. • Respiratory manifestations may precede, accompany, or follow classical systemic features, and their temporal pattern varies among individual IMDs. WHAT IS NEW: • This mini-review organizes IMD-related respiratory involvement by presenting respiratory phenotype rather than by metabolic pathway. • It links respiratory entry points with extrapulmonary red flags and targeted biochemical, enzymatic, and genetic testing to support earlier diagnosis.

Humans↗
PubMed2025

Insights into the heterogeneity of oculopharyngeal muscular dystrophy.

Oculopharyngeal muscular dystrophy (OPMD) is a rare, adult-onset, autosomal dominant myopathy characterized by variability in the age of onset and disease progression. However, its pathogenesis and phenotypic variability remain poorly understood. The disorder is caused by an expansion of a short polyalanine tract in the poly(A) binding protein nuclear 1 (PABPN1) gene. This study presents data from 23 patients across 19 Greek families with pathogenic PABPN1 expansions, including demographic and laboratory data, as well as molecular and electron microscopy findings. Eight distinct trinucleotide expansion genotypes were identified. Electron microscopy consistently demonstrated mitochondrial abnormalities, including swelling, disrupted cristae and atypical lipid inclusions. Clinical heterogeneity was observed at both inter- and intrafamilial levels, and milder phenotypes were generally linked to smaller alleles. Notably, maternally inherited expansions were associated with an earlier disease onset and more severe progression in affected offspring. Given the genetic variability observed in the cohort, the presence of a founder effect could not be supported. A significant degree of underdiagnosis or diagnostic delay was noted, largely attributable to the rarity and clinical heterogeneity of the disease. The observed intrafamilial heterogeneity - particularly in maternally inherited expansions - supports previous reports suggesting that mitochondrial dysfunction may contribute to transgenerational disease progression in the context of a dominant, causative nuclear variant.

Humans↗
PubMed2026

Tele-Oncology in the Post-Pandemic Era: Clinical Integration, Access Disparities and Medico-Legal Accountability.

PURPOSE OF THE REVIEW: Tele-health has evolved from a marginal tool confined to rural populations and selected follow-up programs into a structurally integrated component of modern cancer care. Prior to COVID-19, its adoption was constrained by regulatory fragmentation, non-uniform reimbursement, and licensure barriers. This narrative review evaluates the evolutionary integration of tele-health in oncology post-COVID-19, examines digital disparities across patient populations, and addresses the medico-legal implications of this integration, with the objective of providing a comprehensive and clinically actionable framework for the governance of virtual oncology care. RECENT FINDINGS: The pandemic acted as a global catalyst, driving telehealth to over 50% of oncology outpatient encounters in some settings, before stabilising post-pandemic at approximately 10-20% of consultations within hybrid care models. Evidence supports meaningful clinical benefits - improved access to specialist services, reduced travel burden, and sustained continuity of care - with outcomes comparable to in-person care in postoperative follow-up, symptom monitoring, and survivorship. However, persistent disparities in device availability, connectivity, and digital literacy disproportionately affect older, rural, and socioeconomically disadvantaged patients, raising the risk that geographic inequalities are replaced by technological ones. From a medico-legal standpoint, the remote modality does not modify the applicable standard of care, yet restricted physical examination and reliance on patient-reported data introduce risks of diagnostic delay and incomplete clinical assessment, with direct implications for professional liability, data protection under HIPAA and GDPR, cross-border licensure, and multi-party accountability across physicians, institutions, and technology providers. Tele-oncology has become a permanent structural feature of modern cancer care, offering demonstrable benefits in access, continuity, and patient satisfaction. Yet its integration has been uneven, its governance remains fragmented, and its medico-legal landscape is still evolving. Realising the full potential of virtual oncology care - equitably and safely - requires coherent regulatory frameworks, sustained investment in digital infrastructure, and explicit attention to the populations at greatest risk of being left behind.

Humans↗
PubMed2024

Diagnosing missed cases of spinal muscular atrophy in genome, exome, and panel sequencing data sets.

PURPOSE: We set out to develop a publicly available tool that could accurately diagnose spinal muscular atrophy (SMA) in exome, genome, or panel sequencing data sets aligned to a GRCh37, GRCh38, or T2T reference genome. METHODS: The SMA Finder algorithm detects the most common genetic causes of SMA by evaluating reads that overlap the c.840 position of the SMN1 and SMN2 paralogs. It uses these reads to determine whether an individual most likely has 0 functional copies of SMN1. RESULTS: We developed SMA Finder and evaluated it on 16,626 exomes and 3911 genomes from the Broad Institute Center for Mendelian Genomics, 1157 exomes and 8762 panel samples from Tartu University Hospital, and 198,868 exomes and 198,868 genomes from the UK Biobank. SMA Finder's false-positive rate was below 1 in 200,000 samples, its positive predictive value was greater than 96%, and its true-positive rate was 29 out of 29. Most of these SMA diagnoses had initially been clinically misdiagnosed as limb-girdle muscular dystrophy. CONCLUSION: Our extensive evaluation of SMA Finder on exome, genome, and panel sequencing samples found it to have nearly 100% accuracy and demonstrated its ability to reduce diagnostic delays, particularly in individuals with milder subtypes of SMA. Given this accuracy, the common misdiagnoses identified here, the widespread availability of clinical confirmatory testing for SMA, and the existence of treatment options, we propose that it is time to add SMN1 to the American College of Medical Genetics list of genes with reportable secondary findings after genome and exome sequencing.

Humans↗
PubMed2025

Early mortality in children with homozygous familial hypercholesterolemia: Case reports of deaths at ages 5 and 7 and a systematic review of global evidence.

BACKGROUND: Homozygous familial hypercholesterolemia (HoFH) is a leading cause of premature atherosclerotic cardiovascular disease (ASCVD) and early mortality if left untreated or inadequately treated. OBJECTIVE: This study presents 2 pediatric cases of early death from Pakistan due to familial hypercholesterolemia (FH) and provides a systematic review of similar cases reported globally. METHODS: Genetic analysis was conducted using next-generation sequencing to confirm pathogenic variants. For the systematic review, published reports of individuals with FH who died before the age of 18 years were identified. Data were extracted on demographic features, personal and family history, genetic variants, treatment given, and cause of death. RESULTS: Both patients, born to consanguineous families, presented with markedly elevated low-density lipoprotein cholesterol (LDL-C) levels (792 mg/dL [20.48 mmol/L] and 896 mg/dL [23 mmol/L], respectively), multiple xanthomas, and early-onset myocardial infarction, and died at the ages of 5 and 7 years, respectively. Their genetic analysis revealed a pathogenic frameshift variant in the LDLR gene: NM_000527.5: c.2416dupG (p.Val806GlyfsTer11). The systematic review included 12 studies reporting pediatric FH-related mortality. Common clinical features included tendon xanthomas, elevated LDL-C levels, family history, and early-onset ASCVD. Genetic testing was performed in a few cases, which revealed pathogenic variations in the LDLR gene. Most of the patients received inadequate lipid-lowering therapy. The most common causes of death were severe coronary artery disease, myocardial infarction, and sudden cardiac arrest. CONCLUSION: Our 2 cases and the accompanying systematic review identified additional cases of premature mortality. Collectively, these findings highlight diagnostic delays and inadequate treatment as common factors among patients who died prematurely.

Child↗
PubMed2026

Phenotypic and Genetic Characterization of 64 Egyptian Children With Neuronal Ceroid Lipofuscinosis.

BACKGROUND: Neuronal ceroid lipofuscinoses (NCLs) are the most common neurodegenerative diseases in childhood. This study aimed to investigate the phenotypic and genetic spectrum of NCLs in Egypt. METHODS: This descriptive study involved children with NCLs diagnosed and managed at five Egyptian centers between 2019 and 2024. Demographic, clinical, brain imaging, and genetic data were systematically evaluated. Identified variants in NCL-related genes were classified following the American College of Medical Genetics and Genomics guidelines. RESULTS: The cohort included 64 Egyptian children (from 57 families) with eight NCL types. The most commonly identified genotype was CLN2 (17/64, 27%), followed by CLN1 and CLN7 (12/64, 19% each). Patients generally exhibited the classic manifestations of NCLs, particularly motor regression (64/64, 100%), cognitive decline (64/64, 100%), language impairment (64/64, 100%), epilepsy (57/64, 89%), and vision loss (47/64, 73%). Notably, developmental regression (12/17, 71%) was the predominant presenting symptom for CLN2. Brain imaging generally showed typical cerebral and cerebellar atrophy in 95% (61/64) and 84% (54/64) of cases, respectively. Nevertheless, thalamic abnormalities were observed in only 16% (10/64) of cases. A total of 46 distinct variants were identified across eight NCL-related genes, including 23 novel ones, with the majority (33/46, 72%) being private. There was a median diagnostic delay of 2 years, and none of the patients received specific therapy. CONCLUSIONS: This study reports the largest cohort of children with NCLs from Egypt, including 12 patients with the less-commonly reported CLN7 subtype, which expands the demographic, clinical, and molecular spectrum of these diseases.

Humans↗
PubMed2026

Expanding the clinical spectrum of ARV1-related disease beyond classical developmental and epileptic encephalopathy.

PURPOSE: Biallelic pathogenic variants in ARV1 are classically associated with developmental and epileptic encephalopathy-38 (DEE38), a severe infantile-onset disorder characterized by drug-resistant epilepsy, profound neurodevelopmental impairment, and early mortality. However, emerging evidence suggests broader phenotypic variability. We aimed to expand the clinical and molecular spectrum of ARV1-related disease through a retrospective case series and structured literature review. METHODS: We retrospectively identified five unrelated Saudi Arabian families with biallelic pathogenic or likely pathogenic ARV1 variants confirmed by whole-exome sequencing. Clinical, neurodevelopmental, neurophysiological, neuroimaging, and multisystem findings were reviewed. A structured literature review was performed to integrate previously reported cases. RESULTS: We identified marked clinical heterogeneity, including a novel ARV1 missense variant (c.214G>T; p.Asp72Tyr), which remains classified as a variant of uncertain significance according to ACMG/AMP criteria despite multiple computational predictions supporting a deleterious effect. Clinical severity ranged from severe developmental and epileptic encephalopathy with drug-resistant epilepsy and early mortality to milder static neurodevelopmental phenotypes with sustained seizure remission and long-term survival into adulthood. Families harboring the same homozygous frameshift variant exhibited markedly different clinical severity, supporting the absence of a strict genotype-phenotype correlation. Multisystem involvement included neurological, cardiac, skeletal, sensory, gastrointestinal, and genitourinary manifestations, and metabolic phenocopies contributed to diagnostic delays. CONCLUSION: Our findings demonstrate that ARV1-related disease represents a broad multisystem clinical spectrum, with classical DEE38 representing its most severe presentation rather than its sole manifestation. Recognition of milder phenotypes, prolonged seizure remission, and marked phenotypic variability has important implications for diagnosis, prognostic counseling, and multidisciplinary long-term surveillance. Early genomic testing should be considered in patients with early-onset epilepsy and multisystem involvement, particularly in consanguineous populations.

ARV1↗
PubMed2026

Responding to a protracted tuberculosis outbreak: lessons from multiple rounds of investigation in a Chinese boarding school.

PURPOSE: This study analysed a multi-semester pulmonary tuberculosis (PTB) cluster outbreak in a Chinese boarding school to provide evidence for future epidemic control. METHODS: Contacts were screened via symptoms, infection tests and chest radiography. Screening expanded progressively from close contacts to same-floor contacts, then all students and staff. Whole-genome sequencing (WGS) with single nucleotide polymorphism (SNP) and bioinformatics analysis was used for lineage classification, transmission clustering (&#x2264;12 SNPs defining a cluster) and drug resistance prediction. RESULTS: From 2020 to 2022, 20 students were diagnosed with PTB, half laboratory-confirmed. Most cases clustered in class 16 and were epidemiologically linked to the primary case (case 0), who had household PTB exposure. Case 0 and case 1 had diagnostic delays exceeding 3 and 6&#xa0;months, respectively. WGS of five isolates (case 1, 3, 4, 9 and 10) collected over three semesters showed all belonged to lineage 2 and differed by &#x2264;12 SNPs, confirming the same transmission chain. The infection rate in class 16 (46.34%) was significantly higher than other case classes (19.05%) and classes without cases (8.27%) (&#x3c7;2&#xa0;=&#xa0;61.169, p&#xa0;<&#xa0;0.001). No new cases were detected during a one-year follow-up of students involved in the outbreak after the final round of screening, nor among household contacts of all cases followed up to the present. CONCLUSIONS: Lack of entry health examinations facilitated the outbreak. Delayed diagnosis, incomplete contact screening and absence of preventive treatment led to cross-semester persistence. The infection rate disparity confirms class 16 as the outbreak epicentre. Improving community case management, extending contact follow-up and enhancing cluster outbreak measures are recommended to prevent future outbreaks.

Humans↗
PubMed2026

Genetic architecture of endometriosis: risk factors, comorbidities and clinical implications.

BACKGROUND: In 1999, Dr Susan Treloar and colleagues conducted a landmark twin study in Australia and reported their estimate of 51% for the heritability of endometriosis. This important result led several groups to begin mapping genetic factors contributing to increased endometriosis risk. Despite early challenges, advances in genome-wide association studies (GWAS) have identified multiple genetic risk factors and some target genes implicated in follow-up studies on genetic regulation of transcription. Access to large publicly available genetic datasets and analysis with endometriosis GWAS results is also providing new opportunities to answer important questions about comorbid conditions associated with endometriosis and their implications for clinical practice. OBJECTIVE AND RATIONALE: The objective of the review is to summarize the last 25 years of genetic studies in endometriosis, outline contributions to our understanding of the disease, and suggest future directions to accelerate biological insights from genetic studies to improve clinical outcomes. SEARCH METHODS: A comprehensive review of scientific literature on the genetics of endometriosis was conducted through searches in PubMed and Google Scholar up to June 2026. Search terms included "endometriosis AND (genetics OR GWAS OR genetic risk factors)", For studies addressing the functional characterization of genetic risk loci, additional searches employed the terms "endometriosis AND (genotype-phenotype associations OR colocalization OR eQTL OR mQTL OR multi omics methods)". To identify studies examining shared genetic risk between endometriosis and comorbid conditions, the search strategy included "endometriosis AND (genetic correlation OR colocalization OR Mendelian randomisation)". Publications reporting discoveries related to genetic risk factors for endometriosis and studies interpreting their biological and clinical significance were critically evaluated, and 144 publications were discussed in the review. OUTCOMES: Discovery of genetic risk factors started slowly and has accelerated in recent years with developments in technology and international collaborations to combine data and increase statistical power. GWAS have mapped 80 genetic risk factors that implicate gene regulation of hormonal targets, development of the reproductive tract, regulation of cell proliferation, and regulation of epithelial cell differentiation. In common with most other complex diseases, effects of individual common genetic risk factors are small. However, several examples demonstrate that small effect sizes are not a good predictor for the impact of drugs developed against genetically validated targets. Genetic risk factors implicate five genes regulating gonadotrophin release and oestrogen action, the major target pathway of current drugs for treatment of endometriosis demonstrating proof-of-principal for biologically meaningful results. Genetic correlation and Mendelian Randomization studies highlight important causal relationships between endometriosis and comorbid conditions including a possible role for testosterone during development and shared genetic risk factors for gynaecological, gastrointestinal, pain, psychiatric, and inflammatory conditions. Understanding causal relationships between endometriosis and related conditions will aid clinical management and more personalized treatments. WIDER IMPLICATIONS: Genetic studies provide novel insights into endometriosis pathogenesis and associations with related comorbid conditions. Genetic factors modifying gene regulation and disease risk likely act in specific cell types, and access to datasets from genetically informed cell-based models, single-cell and spatial omics data are needed to accelerate progress. Future studies should address critical questions of heterogeneity and disease subtypes, expand the search for genetic risk factors to non-European populations, evaluate the role of rare and structural variants, and better integrate data from functional, genomics, genetics, and clinical studies to reduce diagnostic delay, develop novel treatment strategies, and translate discoveries into personalized management strategies for affected individuals. REGISTRATION NUMBER: N/A.

comorbid conditions↗