The best of both worlds: Blending cutting-edge research with clinical processes for a productive exome clinic.

Genomic medicine has been transformed by next-generation sequencing (NGS), inclusive of exome sequencing (ES) and genome sequencing (GS). Currently, ES is offered widely in clinical settings, with a less prevalent alternative model consisting of hybrid programs that incorporate research ES along with clinical patient workflows. We were among the earliest to implement a hybrid ES clinic, have provided diagnoses to 45% of probands, and have identified several novel candidate genes. Our program is enabled by a cost-effective investment by the health system and is unique in encompassing all the processes that have been variably included in other hybrid/clinical programs. These include careful patient selection, utilization of a phenotype-agnostic bioinformatics pipeline followed by manual curation of variants and phenotype integration by clinicians, close collaborations between the clinicians and the bioinformatician, pursuit of interesting variants, communication of results to patients in categories that are predicated upon the certainty of a diagnosis, and tracking changes in results over time and the underlying mechanisms for such changes. Due to its effectiveness, scalability to GS and its resource efficiency, specific elements of our paradigm can be incorporated into existing clinical settings, or the entire hybrid model can be implemented within health systems that have genomic medicine programs, to provide NGS in a scientifically rigorous, yet pragmatic setting.

Identification and characterization of stromal-like cells with CD207+/low CD1a+/low phenotype derived from histiocytic lesions - a perspective in vitro model for drug testing.

BACKGROUND: Histiocytoses are rare disorders manifested by increased proliferation of pathogenic myeloid cells sharing histological features with macrophages or dendritic cells and accumulating in various organs, i.a., bone and skin. Pre-clinical in vitro models that could be used to determine molecular pathways of the disease are limited, hence research on histiocytoses is challenging. The current study compares cytophysiological features of progenitor, stromal-like cells derived from histiocytic lesions (sl-pHCs) of three pediatric patients with different histiocytoses types and outcomes. The characterized cells may find potential applications in drug testing. METHODS: Molecular phenotype of the cells, i.e. expression of CD1a and CD207 (langerin), was determined using flow cytometry. Cytogenetic analysis included GTG-banded metaphases and microarray (aCGH) evaluation. Furthermore, the morphology and ultrastructure of cells were evaluated using a confocal and scanning electron microscope. The microphotographs from the confocal imaging were used to reconstruct the mitochondrial network and its morphology. Basic cytophysiological parameters, such as viability, mitochondrial activity, and proliferation, were analyzed using multiple cellular assays, including Annexin V/7-AAD staining, mitopotential analysis, BrdU test, clonogenicity analysis, and distribution of cells within the cell cycle. Biomarkers potentially associated with histiocytoses progression were determined using RT-qPCR at mRNA, miRNA and lncRNA levels. Intracellular accumulation of histiocytosis-specific proteins was detected with Western blot. Cytotoxicyty and IC50 of vemurafenib and trametinib were determined with MTS assay. RESULTS: Obtained cellular models, i.e. RAB-1, HAN-1, and CHR-1, are heterogenic in terms of molecular phenotype and morphology. The cells express CD1a/CD207 markers characteristic for dendritic cells, but also show intracellular accumulation of markers characteristic for cells of mesenchymal origin, i.e. vimentin (VIM) and osteopontin (OPN). In subsequent cultures, cells remain viable and metabolically active, and the mitochondrial network is well developed, with some distinctive morphotypes noted in each cell line. Cell-specific transcriptome profile was noted, providing information on potential new biomarkers (non-coding RNAs) with diagnostic and prognostic features. The cells showed different sensitivity to vemurafenib and trametinib. CONCLUSION: Obtained and characterized cellular models of stromal-like cells derived from histiocytic lesions can be used for studies on histiocytosis biology and drug testing.

Computational facial analysis for rare Mendelian disorders.

With the advances in computer vision, computational facial analysis has become a powerful and effective tool for diagnosing rare disorders. This technology, also called next-generation phenotyping (NGP), has progressed significantly over the last decade. This review paper will introduce three key NGP approaches. In 2014, Ferry et al. first presented Clinical Face Phenotype Space (CFPS) trained on eight syndromes. After 5 years, Gurovich et al. proposed DeepGestalt, a deep convolutional neural network trained on more than 21,000 patient images with 216 disorders. It was considered a state-of-the-art disorder classification framework. In 2022, Hsieh et al. developed GestaltMatcher to support the ultra-rare and novel disorders not supported in DeepGestalt. It further enabled the analysis of facial similarity presented in a given cohort or multiple disorders. Moreover, this article will present the usage of NGP for variant prioritization and facial gestalt delineation. Although NGP approaches have proven their capability in assisting the diagnosis of many disorders, many limitations remain. This article will introduce two future directions to address two main limitations: enabling the global collaboration for a medical imaging database that fulfills the FAIR principles and synthesizing patient images to protect patient privacy. In the end, with more and more NGP approaches emerging, we envision that the NGP technology can assist clinicians and researchers in diagnosing patients and analyzing disorders in multiple directions in the near future.

DNA methylation signature classification of rare disorders using publicly available methylation data.

Disease-specific DNA methylation patterns (DNAm signatures) have been established for an increasing number of genetic disorders and represent a valuable tool for classification of genetic variants of uncertain significance (VUS). Sample size and batch effects are critical issues for establishing DNAm signatures, but their impact on the sensitivity and specificity of an already established DNAm signature has not previously been tested. Here, we assessed whether publicly available DNAm data can be employed to generate a binary machine learning classifier for VUS classification, and used variants in KMT2D, the gene associated with Kabuki syndrome, together with an existing DNAm signature as proof-of-concept. Using publicly available methylation data for training, a classifier for KMT2D variants was generated, and individuals with molecularly confirmed Kabuki syndrome and unaffected individuals could be correctly classified. The present study documents the clinical utility of a robust DNAm signature even for few affected individuals, and most importantly, underlines the importance of data sharing for improved diagnosis of rare genetic disorders.

From scarcity to solutions: Therapeutic strategies to restore adipose tissue functionality in rare disorders of lipodystrophy.

AIMS: Lipodystrophy is a rare disorder characterised by abnormal or deficient adipose tissue formation and distribution. It poses significant challenges to affected individuals, including the development of severe metabolic complications like diabetes and fatty liver disease. These conditions are often chronic, debilitating and life-threatening, with limited treatment options and a lack of specialised expertise. This review aims to raise awareness of lipodystrophy disorders and highlights therapeutic strategies to restore adipose tissue functionality. METHODS: Extensive research has been conducted, including both historical and recent advances. We have examined and summarised the literature to provide an overview of potential strategies to restore adipose tissue functionality and treat/reverse metabolic complications in lipodystrophy disorders. RESULTS: A wealth of basic and clinical research has investigated various therapeutic approaches for lipodystrophy. These include ground-breaking methods such as adipose tissue transplantation, innovative leptin replacement therapy, targeted inhibition of lipolysis and cutting-edge gene and cell therapies. Each approach shows great potential in addressing the complex challenges posed by lipodystrophy. CONCLUSIONS: Lipodystrophy disorders require urgent attention and innovative treatments. Through rigorous basic and clinical research, several promising therapeutic strategies have emerged that could restore adipose tissue functionality and reverse the severe metabolic complications associated with this condition. However, further research and collaboration between academics, clinicians, patient advocacy groups and pharmaceutical companies will be crucial in transforming these scientific breakthroughs into effective and viable treatment options for individuals and families affected by lipodystrophy. Fostering such interdisciplinary partnerships could pave the way for a brighter future for those battling this debilitating disorder.

Suicidal Risk Behaviors in Adolescents With Rare Neurodevelopmental Disorders: The Role of Sex, Autistic Traits, and Mental Health Difficulties.

OBJECTIVE: Autistic traits are associated with mental health difficulties and risk of suicidal risk behaviors among adolescents. Little is known about how autistic traits affect the mental health of adolescents with rare neurodevelopmental disorders (RNDs). The aim of this study was to investigate the relationship between autistic traits, mental health difficulties, and suicidal risk behaviors in adolescents with RNDs. METHODS: Parents (N = 93) completed the Child Behavior Checklist, Social Communication Questionnaire, and Social Responsiveness Scale about their adolescent (Mage = 13.1, SD = 2.3, 62.4% females) with an RND (e.g., sex chromosome aneuploidies, Fragile X syndrome, 22q11.2 deletion syndrome). The data were analyzed with hierarchical logistic regression analysis. RESULTS: The prevalence of suicidal risk behaviors (16.1%) was similar to that reported among autistic youth and was higher among boys than girls. More autistic traits were associated with suicidal risk behaviors in bivariate analysis. In multivariate analysis, more anxiety/depressive symptoms were associated with more suicidal risk behaviors and externalizing problems associated with suicidal risk behaviors beyond autistic traits and anxiety/depressive symptoms. CONCLUSION: Adolescents with RNDs are at risk of suicidal risk behaviors, especially those with higher levels of autistic traits, anxiety/depressive symptoms, and externalizing problems. Assessment of autistic traits, mental health difficulties, and suicide risk may be indicated for adolescents with RNDs to determine if corresponding intervention is needed.

Loneliness and Its Predictors in Rare Versus Common Chronic Illnesses.

BACKGROUND: Loneliness is a growing public health concern associated with substantial negative mental and physical health outcomes. Loneliness is especially relevant for individuals with a chronic illness, perhaps more so if their illness is rare. Little is known about the psychosocial experience of individuals with a rare chronic illness, and whether and how it may differ from the experience of individuals with common chronic illnesses. We compared the magnitude of loneliness in persons with a rare or common chronic illness and examined theoretically guided predictors of loneliness as follows: stigma, illness intrusiveness, social comparison, social support, support from healthcare providers, and self-efficacy. METHOD: Individuals with a chronic illness (common or rare) completed an anonymous online survey (N = 952). RESULTS: Individuals with common chronic illnesses were as lonely as those with a rare chronic illness. Loneliness in both groups was higher than that in population norms. Regression analyses reveal that independent of other predictors, loneliness was especially high among people who feel stigmatized by others, those who have less social support available, and people whose functioning is more disrupted by their illness (all p values < 0.01). CONCLUSION: The similarity of loneliness in these groups reinforces the value of further systematic research to identify the needs of individuals with any type of chronic illness. Study findings highlight the importance of examining internalized stigma and social support as possible targets of intervention to reduce loneliness among individuals with a chronic illness, recognizing some of the unique features and challenges of their disorders, whether common or rare.

Guidelines for clinical interpretation of variant pathogenicity using RNA phenotypes.

Over the last 5 years, RNA sequencing (RNA-seq) has been established and is increasingly applied as an effective approach complementary to DNA sequencing in molecular diagnostics. Currently, three RNA phenotypes, aberrant expression, aberrant splicing, and allelic imbalance, are considered to provide information about pathogenic variants. By providing a high-throughput, transcriptome-wide functional readout on variants causing aberrant RNA phenotypes, RNA-seq has increased diagnostic rates by about 15% over whole-exome sequencing. This breakthrough encouraged the development of computational tools and pipelines aiming to streamline RNA-seq analysis for implementation in clinical diagnostics. Although a number of studies showed the added value of RNA-seq for the molecular diagnosis of individuals with Mendelian disorders, there is no formal consensus on assessing variant pathogenicity strength based on RNA phenotypes. Taking RNA-seq as a functional assay for genetic variants, we evaluated the value of statistical significance and effect size of RNA phenotypes as evidence for the strength of variant pathogenicity. This was determined by the analysis of 394 pathogenic variants, of which 198 were associated with aberrant RNA phenotypes and 723 benign variants. Overall, this study seeks to establish recommendations for integrating functional RNA-seq data into the the American College of Medical Genetics and Genomics and the Association for Molecular Pathology guidelines classification system.

Clinical application of a scale to assess genomic healthcare empowerment (GEmS): Process and illustrative case examples.

The Genome Empowerment Scale (GEmS), developed as a research tool, assesses perspectives of parents of children with undiagnosed disorders about to undergo exome or genome sequencing related to the process of empowerment. We defined genomic healthcare empowerment as follows: perceived ability to understand and seek new information related to the genomic sequencing, manage emotions related to the diagnostic process and outcomes, and utilize genomic sequencing information to the betterment of the individual/child and family. The GEmS consists of four scales, two are primarily emotion-focused (Meaning of a Diagnosis, and Emotional Management of the Process) and two are action-oriented (Seeking Information and Support, and Implications and Planning). The purpose of this research was to provide a strategy for interpreting results from the GEmS and present illustrative cases. These illustrations should serve to facilitate use of the GEmS in the clinical and research arena, particularly with respect to guiding genetic counseling processes for parents of children with undiagnosed conditions.

[Artificial intelligence in the diagnosis of rare disorders: the development of phenotype analysis]. / Künstliche Intelligenz bei der Diagnose Seltener Erkrankungen: die Entwicklung der Phänotyp-Analyse.

Rare diseases can often be diagnosed by carefully assessing the phenotype of the patient, as characteristic deviations (dysmorphisms) occur in many genetic diseases. These affect, for example, the features of the face - the "facial gestalt."This paper highlights an area of artificial intelligence (AI) in which there has been great progress in recent years: the recognition of characteristic patterns in medical image data using deep, convolutional neural networks (next-generation phenotyping - NGP). The technical basis of the method is briefly described and the high relevance of FAIR data for the scientific community to develop AI is discussed. Furthermore, it is explained why decisions made by AI should always remain comprehensible and how it can overcome the challenges with regard to data protection and transparency.In the future, software applications with AI will support medical professionals in the diagnosis of rare diseases. AI will be trustworthy if patients retain their data sovereignty and can understand how the diagnosis was made.

Psychosocial Functioning in Siblings of Children With Rare Disorders Compared to Controls.

Siblings of children with chronic disorders are at increased risk of psychosocial problems. The risk may be exacerbated when the chronic disorder is rare and limited medical knowledge is available, due to more uncertainty and feelings of isolation. We examined mental health, parent-child communication, child-parent relationship quality, and social support among 100 children aged 8 to 16 years (M age 11.5 years, SD = 2.2; 50.0% boys, 50.0% girls). Fifty-six were siblings of children with rare disorders, and 44 were controls. The siblings of children with rare disorders (herein, siblings) were recruited from a resource centre for rare disorders and comprised siblings of children with a range of rare disorders including neuromuscular disorders and rare chromosomal disorders with intellectual disability. Controls were recruited from schools. Self-reported child mental health was significantly poorer for siblings compared to controls (effect size difference d = 0.75). Parent-reported child mental health was not significantly different between the groups (d = -0.06 to 0.16). Most child-parent relationships (anxiety/avoidance; mothers/fathers) were significantly poorer for siblings compared to controls (d = 0.47 to 0.91). There was no difference between groups in anxious relation with mother. Parent-child communication was significantly poorer for siblings compared to controls (d = -0.87 to -0.75). Social support was significantly poorer for siblings compared to controls (d = 0.61). We conclude that siblings of children with rare disorders display more psychosocial problems than controls. Interventions are indicated to prevent further maladjustment for siblings.

Age-related changes in behavioural and emotional problems in Smith-Magenis syndrome measured with the Developmental Behavior Checklist.

Smith-Magenis syndrome (SMS) is a genetic syndrome most often caused by a deletion on chromosome 17 or more rarely by a mutation in the retinoic acid-induced 1 gene. The aim of this study was to investigate the Developmental Behavior Checklist (DBC) profile of persons with SMS and the associations between behavioural and emotional problems, age, gender, adaptive behaviour and autism symptomatology. Twenty-eight persons with SMS were represented by their parents in this study. DBC Total scores are reduced with age, but they still show a mean that is clearly above the cut-off of 46. The differences between the age groups <9 years and 9-17 years (p = 0.024) and between the age groups <9 years and >18 years (p = 0.007) are significant. We found a significant decrease in behavioural and emotional problems with age in SMS. We did not find a relationship between adapted behaviour and communication and behavioural and emotional problems.

The ILE56 mutation on different genetic backgrounds of alanine:glyoxylate aminotransferase: Clinical features and biochemical characterization.

Primary Hyperoxaluria type I (PH1) is a rare disease caused by mutations in the AGXT gene encoding alanine:glyoxylate aminotransferase (AGT), a liver enzyme involved in the detoxification of glyoxylate, the failure of which results in accumulation of oxalate and kidney stones formation. The role of protein misfolding in the AGT deficit caused by most PH1-causing mutations is increasingly being recognized. In addition, the genetic background in which a mutation occurs is emerging as a critical risk factor for disease onset and/or severity. Based on these premises, in this study we have analyzed the clinical, biochemical and cellular effects of the p.Ile56Asn mutation, recently described in a PH1 patient, as a function of the residue at position 11, a hot-spot for both polymorphic (p.Pro11Leu) and pathogenic (p.Pro11Arg) mutations. We have found that the p.Ile56Asn mutation induces a structural defect mostly related to the apo-form of AGT. The effects are more pronounced when the substitution of Ile56 is combined with the p.Pro11Leu and, at higher degree, the p.Pro11Arg mutation. As compared with the non-pathogenic forms, AGT variants display reduced expression and activity in mammalian cells. Vitamin B6, a currently approved treatment for PH1, can overcome the effects of the p.Ile56Asn mutation only when it is associated with Pro at position 11. Our results provide a first proof that the genetic background influences the effects of PH1-causing mutations and the responsiveness to treatment and suggest that molecular and cellular studies can integrate clinical data to identify the best therapeutic strategy for PH1 patients.

Diagnosis of Chediak Higashi disease in a 67-year old woman.

Chediak-Higashi disease is a rare disease caused by bi-allelic mutations in the lysosomal trafficking regulator gene, LYST. Individuals typically present in early childhood with partial oculocutaneous albinism, a bleeding diathesis, recurrent infections secondary to immune dysfunction, and risk of developing hemophagocytic lymphohistiocytosis (HLH). Without intervention, mortality is high in the first decade of life. However, some individuals with milder phenotypes have attenuated hematologic and immunologic presentations, and lower risk of HLH. Both classic and milder phenotypes develop progressive neurodegeneration in early adulthood. Here we present a remarkable patient diagnosed with Chediak-Higashi disease at age 67, many decades after the diagnosis is usually established. Diagnosis was suspected by observing the pathognomonic granules within leukocytes, and confirmed by identification of bi-allelic mutations in LYST, reduced LYST mRNA expression, enlarged lysosomes within fibroblasts, and decreased NK cell lytic activity. This case further expands the phenotype of Chediak-Higashi disease and highlights the need for increased awareness. Individuals with milder phenotypes may escape early diagnosis, but identification is important for close monitoring of potential complications, and to further our understanding of the function of LYST.

Patient and clinician opinions of patient reported outcome measures (PROMs) in the management of patients with rare diseases: a qualitative study.

BACKGROUND: Rare diseases may be life-threatening or chronically debilitating conditions. Patient care needs are often complex and challenging to coordinate and deliver effectively. Rare diseases and their clinical management may therefore substantially impact on patients' health-related quality of life (HRQOL). The use of patient-reported outcome measures (PROMs) may complement clinical assessments by elucidating patients' perspectives on their health status and care priorities. This study explored the opinions of patients and clinicians on the use of PROMs in the management of patients with rare diseases in routine clinical practice. METHODS: A total of 15 semi-structured one-to-one interviews were conducted with four patients with primary sclerosing cholangitis (PSC); five renal transplant recipients; and six PSC doctors from University Hospitals Birmingham (UHB) NHS Foundation Trust. A focus group session was also conducted with 10 clinical staff members (doctors, nurses and other allied health professionals from UHB). The suitability and acceptability of the Chronic Liver Disease Questionnaire (CLDQ) and the Short Form 12 (SF12) were assessed by patients with PSC and their doctors while the Paediatric quality of life inventory Transplant Module (PedsQL-TM) and the EuroQoL-5 dimensions (EQ. 5D) were evaluated by the renal transplant recipients and their doctors. The discussions were audio recorded and transcribed verbatim. Coding of the transcripts was done using the Nvivo 11 Plus software. Thematic analysis was conducted to identify the main themes and subthemes. RESULTS: Four themes were identified, namely: (i) potential benefits of PROMs in the management of rare diseases; (ii) views on selected questionnaires; (iii) practical considerations for implementation; and (iv) potential facilitators and barriers of implementation. Patients and clinicians suggested that the use of ePROMs may facilitate patient-centred care by promoting patient-clinician communication, highlighting aspects of HRQOL that are important to patients and encouraging patient involvement in their care. They also felt that the disease-specific CLDQ and PedsQL-TM were more relevant than the generic SF12 and EQ-5D. CONCLUSIONS: Patients with rare diseases often experience impaired HRQOL. The use of an ePROM system may enhance the routine management of patients with rare diseases.

Genetic and Rare Disease Diagnoses: A Review of Resources for Patients and Health Care Professionals.

This article reviews genetic and rare disease resources from the National Library of Medicine and National Institutes of Health that assist patients and their families to decipher the complexity of rare and genetically related diseases. Librarians can use these resources to guide those seeking genetic information that encompasses the medical, social, psychological, and financial aspects of living with a rare disease. Physicians and healthcare professionals will find these resources helpful when assisting patients and engaging in genetic research.

Deleterious de novo variants of X-linked ZC4H2 in females cause a variable phenotype with neurogenic arthrogryposis multiplex congenita.

Pathogenic variants in the X-linked gene ZC4H2, which encodes a zinc-finger protein, cause an infrequently described syndromic form of arthrogryposis multiplex congenita (AMC) with central and peripheral nervous system involvement. We present genetic and detailed phenotypic information on 23 newly identified families and simplex cases that include 19 affected females from 18 families and 14 affected males from nine families. Of note, the 15 females with deleterious de novo ZC4H2 variants presented with phenotypes ranging from mild to severe, and their clinical features overlapped with those seen in affected males. By contrast, of the nine carrier females with inherited ZC4H2 missense variants that were deleterious in affected male relatives, four were symptomatic. We also compared clinical phenotypes with previously published cases of both sexes and provide an overview on 48 males and 57 females from 42 families. The spectrum of ZC4H2 defects comprises novel and recurrent mostly inherited missense variants in affected males, and de novo splicing, frameshift, nonsense, and partial ZC4H2 deletions in affected females. Pathogenicity of two newly identified missense variants was further supported by studies in zebrafish. We propose ZC4H2 as a good candidate for early genetic testing of males and females with a clinical suspicion of fetal hypo-/akinesia and/or (neurogenic) AMC.

The genome empowerment scale: An assessment of parental empowerment in families with undiagnosed disease.

While genomic sequencing (ES/GS) has the potential to diagnose children with difficult to diagnose phenotypes, the goal should be not only a diagnosis, but also to empower parents to seek next steps for their children and to emotionally manage the outcome, whether or not a diagnosis is secured. To help achieve this goal, objective measures are needed to assess the process of parental empowerment related to genome sequencing. We present the validity and reliability of the Genome Empowerment Scale (GEmS), developed using a healthcare empowerment theoretical model. To evaluate its psychometric properties, 158 parents of 117 children with an undiagnosed condition undergoing genomic sequencing completed the GEmS, measures for criterion validity and for depression and anxiety. Factor analysis resulted in a four factor solution: (a) meaning of a diagnosis; (b) emotional management of the process; (c) seeking information and support and (d) implications and planning. Reliability and validity analyses show that the GEmS has good psychometric properties. The inter-relationships among the factors revealed a profile that may identify parents at risk for a poorer outcome who may benefit from targeted genetic counseling. The GEmS, an objective measure of parental genomic empowerment, can be utilized for future research and translational applications.

Early Check: translational science at the intersection of public health and newborn screening.

BACKGROUND: Newborn screening (NBS) occupies a unique space at the intersection of translational science and public health. As the only truly population-based public health program in the United States, NBS offers the promise of making the successes of translational medicine available to every infant with a rare disorder that is difficult to diagnose clinically, but for which strong evidence indicates that presymptomatic treatment will substantially improve outcomes. Realistic NBS policy requires data, but rare disorders face a special challenge: Screening cannot be done without supportive data, but adequate data cannot be collected in the absence of large-scale screening. The magnitude and scale of research to provide this expanse of data require working with public health programs, but most do not have the resources or mandate to conduct research. METHODS: To address this gap, we have established Early Check, a research program in partnership with a state NBS program. Early Check provides the infrastructure needed to identify conditions for which there have been significant advances in treatment potential, but require a large-scale, population-based study to test benefits and risks, demonstrate feasibility, and inform NBS policy. DISCUSSION: Our goal is to prove the benefits of a program that can, when compared with current models, accelerate understanding of diseases and treatments, reduce the time needed to consider inclusion of appropriate conditions in the standard NBS panel, and accelerate future research on new NBS conditions, including clinical trials for investigational interventions. TRIAL REGISTRATION: Clinicaltrials.gov registration # NCT03655223 . Registered on August 31, 2018.

Health complaints and work experiences among adults with neurofibromatosis 1.

BACKGROUND: Neurofibromatosis type 1 (NF1) is a rare genetic disorder with usually benign nerve tumours, skin problems, pain and cardiovascular problems among common complications. AIMS: To examine work participation and experiences in relation to health complaints among adults with NF1. METHODS: We conducted a cross-sectional self-reported survey among 142 persons with NF1 (mean age = 50.3 years, SD = 12.0; 62% females). We measured physical and social dimensions of work experiences with eight items from the third wave of the epidemiological survey 'Nord-Trøndelag Health Study' (HUNT3). We compared NF1 data to 27 036 HUNT3 controls. We measured health complaints with the 29-item Subjective Health Complaints Inventory (SHC; subscales musculoskeletal pain, pseudoneurology and gastrointestinal problems) and compared NF1 data to norms. RESULTS: Compared to controls, significantly more persons with NF1 reported workplace bullying (13% versus 5%) and work as physically exhausting (74% versus 44%), whereas fewer reported work autonomy (64% versus 80%). Women with NF1 reported significantly more SHC than female norms (99% versus 86%). Men with NF1 reported significantly more pseudoneurology and gastrointestinal problems compared to male norms (76% versus 58%). SHC explained 9% of the variance in physical work experiences (ß = -0.47; 95% CI -0.76 to -0.19) and 8% of the variance in social work experiences (ß = 0.48; 95% CI 0.18-0.78). CONCLUSION: Persons with NF1 experience more physical and social work problems, and both work domains were related to health complaints. Individualized assessment and information to co-workers and managers may represent ways to increase work participation among persons with NF1.