Clinical sequencing yield in epilepsy, autism spectrum disorder, and intellectual disability: A systematic review and meta-analysis

Holistic Exome-Based Genetic Testing in Adults With Epilepsy

Background and Objectives

Exome sequencing (ES) is increasingly used in the diagnostic workup of epilepsies. While its utility has been extensively demonstrated in children, its role in adults remains to be defined. In this study, we evaluate the outcomes of a holistic exome-based approach in adults with epilepsy.

Methods

We included 106 adults with epilepsy and a presumed genetic etiology between January 2015 and December 2023 at the Medical University of Vienna, Austria. Diagnostic ES, including copy number variation (CNV) and mitochondrial analyses, was performed. We report on diagnostic outcomes, phenotype expansions, and research findings. Furthermore, we compared the diagnostic outcomes with 3 comprehensive gene panels.

Results

In our cohort, the diagnostic yield was 30.2%, outperforming all 3 simulated gene panels. A developmental and epileptic encephalopathy phenotype was associated with receiving a genetic diagnosis. Overall, 27 distinct molecular etiologies were identified. Eight patients had pathogenic CNVs, and 2 had mitochondrial DNA variants. Molecular diagnoses had potential clinical implications in 8 of 32 solved cases (25%), which were eventually exerted in 5 patients (15.6%). Tailored treatment changes were successfully applied in SCN1A-related epilepsy (discontinuation of sodium channel blockers) and GLUT1 deficiency (ketogenic diet). Three patients with mitochondrial diseases were referred for preventive screening investigations after the genetic diagnosis. Our findings expand the clinical spectrum of 3 known epilepsy genes. In addition, explorative variant prioritization identified heterozygous truncating variants in CLASP1 in 2 unrelated patients with focal epilepsy, suggesting it as a candidate gene.

Discussion

Our study strongly supports the use of holistic genetic approaches, encompassing CNV and mitochondrial analyses, in adults with epilepsy. Similar to pediatric cohorts, results may inform clinical care. Moreover, we report on phenotype expansions and a candidate gene discovery.

Genetic etiologies with a large NGS panel in a monocentric cohort of 1000 patients with pediatric onset epilepsies

OBJECTIVE

Genetic testing is now included in the diagnostic assessment of childhood onset epilepsies. We evaluated the yield of a targeted next generation sequencing (TNGS) panel dedicated to pediatric epilepsies.

METHODS

We tested by TNGS panel 1000 consecutive patients presenting with childhood onset epilepsies and including mainly patients with early onset epilepsies (under 2 years, 61%).

RESULTS

Causal variants were identified in 31% of patients, spanning 78 different genes. Patients with benign familial neonatal/infantile epilepsy (BFN/IS) exhibited the highest rate of positive findings (82%). Developmental and epileptic encephalopathies (DEEs) had a global diagnostic yield of 37%, with epilepsy of infancy with migrating focal seizures (EIMFSI) and Dravet syndrome (DS) presenting the highest yield in this group (78%) and early infantile DEE (EIDEE) laying next with a yield of 43%. The lowest rates of genetic diagnosis were observed in infantile epileptic spasms syndrome (IESS, 17%), epilepsy with myoclonic-atonic seizures (EMAtS, 19%), and DEE-SWAS (14%). Patients with GEFS+ had a yield of 16%. Among patients with developmental encephalopathies and refractory seizures with onset after 2 years, TNGS yielded a 33% diagnostic rate. Atypical absences yielded 16%, focal epilepsy yielded 18%, and generalized epilepsies with refractory seizures yielded 13%. These groups exhibited a high genetic heterogeneity.

SIGNIFICANCE

TNGS is an effective first-step genetic screening in patients with high diagnostic yields (BFN/IS, EIMFS, DS, EIDEE) and for epilepsy syndromes associated with one or a few major genes (BFN/IS, EIMFS, DS, GEFS+, DEE-SWAS). Whole exome or genome sequencing (WES/WGS) should be considered as a second step in these groups with a probably relevant Mendelian inheritance. WES/WGS could be proposed as first-tier analysis in patients with IESS, EMAtS, generalized or focal epilepsies refractory to ASMs, and developmental encephalopathies with seizure onset after 2 years. However, the lower diagnostic yield obtained in these groups may suggest a complex inheritance.

PLAIN LANGUAGE SUMMARY

This study emphasizes the importance of accurately identifying different types of epilepsy and epilepsy syndromes to improve genetic testing strategies. We suggest that a targeted gene panel can be a good first step for some genetic conditions, such as benign familial neonatal/infantile epilepsy, Dravet syndrome, and epilepsy of infancy with migrating focal seizures.

Identification of intragenic variants in pediatric patients with intellectual disability in Peru

BACKGROUND

Intellectual disability in Latin America can reach a frequency of 12% of the population, these may include nutritional deficiencies, exposure to toxic or infectious agents, and the lack of universal neonatal screening programs. In 90% of patients with intellectual disability, the etiology can be attributed to variants in the genome.

OBJECTIVE

to determine intragenic variants in patients with intellectual disability between 5 and 18 years old at Instituto Nacional de Salud del Niño.

METHODS

It is a descriptive cross-sectional study with convenience sampling. A total of 124 children diagnosed with intellectual disability were selected based on psychological test results and availability for whole exome sequencing. In addition, a chromosomal analysis of 6.55 M was performed on ten patients with a negative result in sequencing. Relative and absolute frequencies and measures of central tendency and dispersion were determined according to their nature. In addition, multiple linear regression and Poisson regression were used to determine the association between some clinical characteristics and the probability of occurrence in patients with positive results.

RESULTS

The median age of the patients was 6.3 (IQR = 5.95), males accounted for 57.3%, and 91.9% of the cases had mild intellectual disability. Exome sequencing determined the etiology in 30.6% of patients with intellectual disability, of which 52.6% were autosomal dominant inheritance. The most frequent genes found were MECP2, STXBP1 and LAMA2. A broad genotype-phenotype correlation was identified, highlighting the genetic heterogeneity of intellectual disability in this population. The presence of dermatologic lesions, dystonia, peripheral neurological disorders, and fourth finger flexion limitation were observed more frequently in patients with intellectual disability with "positive results".

CONCLUSIONS

This study shows that one-third of patients with intellectual disability exhibit intragenic variants, highlighting the importance of genetic analysis for accurate diagnosis. The identification of genes such as MECP2, STXBP1, and LAMA2 underscores the genetic heterogeneity of intellectual disability in the studied population. These findings emphasize the need for genetic testing in clinical management and the implementation of early detection programs in Peru.

Autism Spectrum Disorder and Epilepsy: Pathogenetic Mechanisms and Therapeutic Implications

The co-occurrence of autism spectrum disorder (ASD) and epilepsy is a complex neurological condition that presents significant challenges for both patients and clinicians. ASD is a group of complex developmental disorders characterized by the following: (1) Social communication difficulties: challenges in understanding and responding to social cues, initiating and maintaining conversations, and developing and maintaining relationships. (2) Repetitive behaviors: engaging in repetitive actions, such as hand-flapping, rocking, or lining up objects. (3) Restricted interests: focusing intensely on specific topics or activities, often to the exclusion of other interests. (4) Sensory sensitivities: over- or under-sensitivity to sensory input, such as sounds, touch, tastes, smells, or sights. These challenges can significantly impact individuals' daily lives and require specialized support and interventions. Early diagnosis and intervention can significantly improve the quality of life for individuals with ASD and their families. Epilepsy is a chronic brain disorder characterized by recurrent unprovoked (≥2) seizures that occur >24 h apart. Single seizures are not considered epileptic seizures. Epilepsy is often idiopathic, but various brain disorders, such as malformations, strokes, and tumors, can cause symptomatic epilepsy. While these two conditions were once considered distinct, growing evidence suggests a substantial overlap in their underlying neurobiology. The prevalence of epilepsy in individuals with ASD is significantly higher than in the general population. This review will explore the epidemiology of this comorbidity, delve into the potential mechanisms linking ASD and epilepsy, and discuss the implications for diagnosis, treatment, and management.

Novel Compound Heterozygous Variants in ZNF526 Causing Dentici-Novelli Neurodevelopmental Syndrome: A Case Report and Literature Review

BACKGROUND

The ZNF526 gene encodes a ubiquitously expressed Kruppel-type zinc finger protein crucial in transcriptional regulation. Recent studies suggest that biallelic pathogenic variants in ZNF526 may lead to Dentici-Novelli neurodevelopmental syndrome, characterized by microcephaly, developmental delay, epilepsy, and ocular anomalies. To date, phenotypic details have been reported for only six patients with ZNF526 variants.

METHODS

This study gathered clinical information and genetic data from a child with neurodevelopmental disorders. A three-dimensional protein model was employed to predict variant effects on protein structure. A literature review was conducted to compare this case with previously reported cases, analyzing clinical features and genetic findings.

RESULTS

The proband, a 7-month-old girl, exhibited developmental delay, microcephaly, limb hypotonia, abnormal brain imaging, and seizures. Chromosomal karyotype analysis and copy number variation analyses were normal. Whole exome sequencing revealed two heterozygous variants in the ZNF526 gene (NM_133444.3): c.1426del (p.Val476Phefs*9), a de novo frameshift variant, and c.1513T;> C (p.Cys505Arg), inherited from her mother. These previously unreported variants are on separate alleles, forming a compound heterozygous state correlated with the clinical presentation. Ocular anomalies were absent, while café-au-lait spots may represent a novel feature. Among 12 cases of Dentici-Novelli neurodevelopmental syndrome, 11 unique ZNF526 variants have been identified, with loss-of-function variants possibly linked to seizures.

CONCLUSION

This study describes the youngest patient with Dentici-Novelli neurodevelopmental syndrome, broadening the ZNF526 mutation spectrum and detailing the associated clinical profile. These findings are valuable for genetic diagnosis and family counseling in cases of this syndrome.

The Comprehension of Grammatical Structures in a Pediatric Population with ASD and Epilepsy: A Comparative Study

Autism Spectrum Disorder (ASD) and epilepsy represent a comorbidity that negatively influences the proper development of linguistic competencies, particularly in receptive language, in the pediatric population. This group displays impairments in the auditory comprehension of both simple and complex grammatical structures, significantly limiting their performance in language-related activities, hampering their integration into social contexts, and affecting their quality of life. The main objective of this study was to assess auditory comprehension of grammatical structures in individuals with ASD and epilepsy and compare the results among the three groups. A non-experimental cross-sectional study was designed, including a total of 170 participants aged between 7 and 9 years, divided into three groups: a group with ASD, a group with epilepsy, and a comorbid group with both ASD and epilepsy (ASDEP). The comprehension of grammatical structures was assessed using the CEG and CELF-5 instruments. Statistical analyses included MANOVA and ANOVA to compare scores between groups to verify associations between study variables. The results indicate that the group with ASD and epilepsy performed worse compared to the ASD and epilepsy-only groups, respectively. Additionally, a significant and directly proportional association was observed among all variables within the measures of grammatical structure comprehension. The neurological damage caused by epilepsy in the pediatric population with ASD leads to difficulties in understanding oral language. This level of functioning significantly limits the linguistic performance of these children, negatively impacting their quality of life and the development of core language skills.

Exploring the Genetic Etiology of Pediatric Epilepsy: Insights from Targeted Next-Generation Sequence Analysis

Introduction

Epilepsy is a group of neurologic disorders with clinical and genetic heterogeneity. Epilepsy often affects children; thus, early diagnosis and precise treatment are vital to protecting the standard of life of a child. Progress in epilepsy-related gene discovery has caused enormous novelty in specific epilepsy diagnoses. Genetic testing using next-generation sequencing is now reachable, leading to higher diagnosis ratios and understanding of the disease's underlying mechanisms. The study's primary aim was to identify the genetic etiology based on targeted next-generation sequence analysis data and to calculate the diagnostic value of the epilepsy gene panel in the 0-17 age-group diagnosed with epilepsy. The secondary aim was to demonstrate the significance of periodic reinterpretation of variant of uncertain significance (VUS) variants and genotype-phenotype correlation.

Methods

This retrospective study comprised 107 patients with epilepsy aged 8 months to 17 years, for whom a targeted gene panel covered 110 genes. VUS variants were reanalyzed, and genotype-phenotype correlation was performed.

Results

In the initial evaluation, causal variants were described in 23 patients (21.5%). After reinterpretation of VUS, we detected causal variants in 30 out of 107 patients (28%). By reinterpreting the VUS and evaluating genotype-phenotype correlations, we enhanced our diagnostic value by 30.32%. After reinterpretation of VUS variants, the ACMG classification of 36 variants, including 15 benign (31%), 15 likely benign (31%), 5 likely pathogenic (10%), and 1 pathogenic (2%), were redefined. We most frequently detected causal variants in TSC2 (n = 5), GRIN2A (n = 4), and ALDH7A1 (n = 4) genes.

Conclusion

The predictive value for epilepsy panel testing was 28% in the cohort. Our study revealed the importance of reanalysis of VUS variants and contributed to enriching the mutation spectrum in epilepsy.

SNV/Indel and CNV Analysis in Trio-WES for Intellectual and Developmental Disabilities: Diagnostic Yield & Cost-Effectiveness

Intellectual and developmental disabilities (IDD) are clinically and genetically heterogeneous disorders of global concern. While whole exome sequencing (WES) is used to identify single nucleotide variants (SNVs) and small insertions/deletions (Indels) in IDD patients, its detection rate is limited. This study evaluated the value of integrating copy number variation (CNV) analysis into traditional SNV/Indel analysis based on trio-WES. One hundred eighty seven patients with IDD in 140 families from southwest China were incorporated into the study cohort. The overall diagnostic rate was 40.11% (75/187), with 33.16% (62/187) from SNV/Indel analysis and 6.95% (13/187) from CNV analysis. SNV/Indel analysis identified 52 variants in 42 genes, including 30 novel and 22 reported variants; CNV analysis identified 11 CNVs, comprising 1 repeat and 10 deletions, with sizes ranging from 1313 to 55 184 kb. 39.29% (55/140) families benefited from this study for their clinical diagnosis, treatment, and reproduction. Furthermore, our strategy, with an incremental cost-effectiveness ratio (ICER) of $2546.22/diagnosis, had demonstrated significant advantages in terms of cost-effectiveness and detection speed compared to previous methods. In general, by incorporating SNV/Indel and CNV analysis based on trio-WES, a robust, cost-effective, and time-saving approach for diagnosing IDD has been developed.

De novo TANC2 variants caused developmental and epileptic encephalopathy and epilepsy

OBJECTIVE

The TANC2 gene encodes a scaffolding synaptic protein with essential roles in synaptic transmission. This study aims to explore the association between TANC2 and epilepsy and the mechanism underlying phenotypic variation.

METHODS

Trio-based exome sequencing was performed in patients with epilepsy from the China Epilepsy 1.0 cohort. The association between TANC2 and epilepsy was validated with a Drosophila model. The role of TANC2 in development was investigated by single-cell RNA sequencing in cerebral organoids and spatiotemporal expression across brain regions.

RESULTS

De novo TANC2 variants were identified in six unrelated cases, including four null and two missense variants. The six variants were classified as "pathogenic"/"likely pathogenic," according to the American College of Medical Genetics and Genomics guidelines. Patients with null variants exhibited severe phenotypes, including three with epilepsy and neurodevelopmental disorders (NDDs) and one with developmental and epileptic encephalopathy (DEE). In contrast, the patients with missense variants presented with only epilepsy. Genotype-phenotype correlation analysis revealed that variants associated with epilepsy and NDD were mostly null variants, whereas the missense variants were associated with NDD or epilepsy. NDD-associated missense variants exhibited more severe damage effects, compared with the epilepsy-associated missense variants. Functional studies in Drosophila suggested that knockdown TANC2 led to increased susceptibility to seizure-like behavior. TANC2 expresses highly in the brain, with three peaks in early fetal, infancy, and adulthood, coinciding with the onset ages of patients. Specifically, TANC2 exhibited the highest expression in the early fetal stage, indicating its vital role in early development. Single-cell RNA sequencing revealed an extensive expression of TANC2 in neurons in 1-month-old cerebral organoids, suggesting its vital role in neurodevelopment.

SIGNIFICANCE

This study suggested TANC2 as a causative gene of epilepsy and DEE. The phenotypic spectrums of TANC2 potentially ranged from early lethality, DEE, epilepsy with NDD, NDD, to mild epilepsy, depending on the damaging effects caused by variants.

Phenotypic analysis of 11,125 trio exomes in neurodevelopmental disorders

Genomic sequencing is widely used to identify causative genetic changes in neurodevelopmental disorders, such as autism, intellectual disability, and epilepsy. Most neurodevelopmental disorders also present with diverse clinical features, and delineating the interaction between causative genetic changes and phenotypic features is a key prerequisite for developing personalized therapies. However, assessing clinical features at a scale that parallels genomic sequencing remains challenging. Here, we standardize phenotypic information across 11,125 patient-parent trios with exome sequencing data using biomedical ontologies, analyzing 674,767 phenotypic terms. We find that individuals with de novo variants in 69 out of 261 neurodevelopmental genes exhibit statistically significant clinical similarities with distinct phenotypic fingerprints. We also observe that phenotypic relatedness follows a gradient, spanning from highly similar to dissimilar phenotypes, with intra-gene similarities suggesting clinically distinct subgroups for seven neurodevelopmental genes. For most genetic etiologies, only a small subset of highly phenotypically similar individuals carried de novo variants in the same gene, highlighting the heterogeneous and complex clinical landscape of neurodevelopmental disorders. Our study provides a large-scale overview of the dynamic relationship between genotypes and phenotypes in neurodevelopmental disorders, underscoring how the inherent complexity of these conditions can be deciphered through approaches that integrate genomic and phenotypic data.

Advancing Mental Health Research Through Strategic Integration of Transdiagnostic Dimensions and Genomics

Genome-wide studies are yielding a growing catalog of common and rare variants that confer risk for psychopathology. However, despite representing unprecedented progress, emerging data also indicate that the full promise of psychiatric genetics-including understanding pathophysiology and improving personalized care-will not be fully realized by targeting traditional dichotomous diagnostic categories. The current article provides reflections on themes that emerged from a 2021 National Institute of Mental Health-sponsored conference convened to address strategies for the evolving field of psychiatric genetics. As anticipated by the National Institute of Mental Health's Research Domain Criteria framework, multilevel investigations of dimensional and transdiagnostic phenotypes, particularly when integrated with biobanks and big data, will be critical to advancing knowledge. The path forward will also require more diverse representation in source studies. Additionally, progress will be catalyzed by a range of converging approaches, including capitalizing on computational methods, pursuing biological insights, working within a developmental framework, and engaging health care systems and patient communities.

A Retrospective Review of Reclassification of Variants of Uncertain Significance in a Pediatric Epilepsy Cohort Undergoing Genetic Panel Testing

BACKGROUND

The interpretation and communication of variant of uncertain significance (VUS) genetic results often present a challenge in clinical practice. VUSs can be reclassified over time into benign/likely benign (B/LB) or pathogenic/likely pathogenic (P/LP) based on the availability of updated data. We evaluate the frequency of VUS reclassification in our tertiary care epilepsy cohort undergoing epilepsy genetic panel (EGP) testing.

METHODS

Patients with established diagnoses of epilepsy (neonates to 18 years of age) who underwent EGP testing between 2017 and 2022 from a single commercial laboratory were evaluated. Patients who had any variant reclassified from their initial EGP report were included. Duration between reclassification of VUSs and types of reclassifications were compared between developmental and epileptic encephalopathy (DEE) versus non-DEE phenotypes.

RESULTS

Over the five years, 1025 probands were tested using EGP. Eighty-five probands (8%) had at least one genetic variant reclassified. A total of 252 initial VUSs were reported in the 85 probands, of which 113 (45%) VUSs were reclassified. Of 113 reclassification events, 21 (19%) were upgraded to P/LP and 92 (81%) were reclassified to B/LB. The median (interquartile range) duration between variant reinterpretations in the cohort was 12 (14.5) months. There were no significant differences in the duration between reclassification and the likelihood of reclassification of VUSs to B/LB or P/LP between the two groups (DEE versus non-DEE).

CONCLUSIONS

VUS reclassification over time can lead to clinically significant variant reinterpretation in patients with unknown genetic diagnoses. Periodic genomic test reinterpretation, preferably yearly, is recommended in routine clinical practice.

Epilepsy genetics in the paediatric population of the Eastern Anatolia region of Turkey

This study investigates the genetic causes of epilepsy in 166 paediatric patients under the age of 16 from the East Anatolian region of Turkey, who were treated at Erzurum City Hospital between 2018 and 2023. Patients with early-onset seizures, a family history of epilepsy or intellectual disability was selected for genetic analysis using a next-generation sequencing (NGS) gene panel targeting 449 genes associated with epilepsy and epileptic encephalopathy. The analysis revealed that pathogenic or probable pathogenic mutations were present in 14.8% (32 patients), highlighting the significant role of genetic factors in the aetiology of epilepsy in this population. In addition, 30.6% (66 patients) carried variants of uncertain significance (VUS), which, although not classified as pathogenic, have potential clinical relevance. Many epilepsy-related genes follow an autosomal dominant inheritance pattern, meaning that VUSs may gain pathogenic significance as more data and global studies accumulate, emphasising the evolving nature of genetic research. In addition to genetic factors, other aetiological causes such as perinatal insults (15.3%) and infections (7.9%) were identified, highlighting the multifactorial origin of epilepsy. While pathogenic mutations currently serve as important diagnostic and therapeutic markers, the role of VUS should not be underestimated. Genetic testing has proven to be essential for understanding the complex causes of epilepsy, providing opportunities for personalised treatment and genetic counselling. This study highlights the importance of genetic testing in regions such as Eastern Anatolia, where both environmental and genetic factors may influence the prevalence of epilepsy. As genetic databases expand, it is likely that the understanding of VUS will evolve, improving the clinical management of epilepsy through more targeted therapies and improved outcomes.

Categorizing Monogenic Epilepsies by Genetic Mechanisms May Predict Efficacy of the Ketogenic Diet

BACKGROUND

The ketogenic diet (KD) is an effective treatment for epilepsy. In recent years, studies have shown favorable efficacy of KD in epilepsy from genetic disorders. In this study, we propose an approach to KD in monogenic epilepsy: we evaluate the utility of categorizing genetic variants based on rational associations with the known mechanisms of KD.

METHODS

Patients with monogenic epilepsy treated with KD were reviewed. The genetic etiologies were categorized into five groups: (1) conditions causing cellular energy impairment, (2) GABA-pathies, (3) mToR-pathies, (4) ion channelopathies, and (5) no known mechanisms associated with KD mechanisms. Treatment response was defined as a median reduction in seizure frequency of greater than 50%.

RESULTS

Of 35 patients, 24 (69%) were responders at three months. Based on categories, Group 1 had the highest response rate with seven of seven (100%), followed by Group 2, six of seven (86%), and Group 3, two of three (67%). Patients in Groups 4 and 5 had poorer responses with three of seven (43%) and four of 11 (36%) response rates, respectively (P < 0.01). Median percentage of seizure reduction showed Group 1 with the highest reduction of 97.5%, Group 2 at 94%, and Groups 3, 4, and 5 at 62.5%, 30%, and 40%, respectively (P = 0.036).

CONCLUSION

Our findings show a favorable response to KD in patients with monogenic epilepsy (69% at three months) with the highest response in patients with conditions involving cellular energy impairment and GABA-pathies. The KD, therefore, should be considered early in patients with monogenic epilepsy, especially those involving genes associated with cellular energy impairment or GABA-pathies.

Whole Exome Sequencing and Panel-Based Analysis in 176 Spanish Children with Neurodevelopmental Disorders: Focus on Autism Spectrum Disorder and/or Intellectual Disability/Global Developmental Delay

BACKGROUND

Neurodevelopmental disorders (NDDs) represent a significant challenge in pediatric genetics, often requiring advanced diagnostic tools for the accurate identification of genetic variants.

OBJECTIVES

To determine the diagnostic yield of whole exome sequencing (WES) with targeted gene panels in children with neurodevelopmental disorders (NDDs).

METHODS

This observational, prospective study included a total of 176 Spanish-speaking pediatric patients with neurodevelopmental disorders (NDDs), encompassing intellectual disability (ID), global developmental delay (GDD), and/or autism spectrum disorder (ASD). Participants were recruited from January 2019 to January 2023 at a University Hospital in Madrid, Spain. Clinical and sociodemographic variables were recorded, along with genetic study results. The age range of the subjects was 9 months to 16 years, and the percentage of males was 72.1%. The diagnostic yield of whole exome sequencing (WES) was calculated both before and after parental testing via Sanger DNA sequencing.

RESULTS

The study included 176 children: 67 (38.1%) with ID, 62 (35.2%) with ASD, and 47 (26.7%) with ASD + ID. The diagnostic yield of proband-only exome sequencing was 12.5% (22/176). By group, the diagnostic yield of proband-only exome sequencing was 3.2% in the ASD, 12.7% in the ASD + ID, and 20.8% in the ID group. Variants of uncertain significance (VUS) were found in 39.8% (70/176). After parental testing, some variants were reclassified as "likely pathogenic", increasing the diagnostic yield by 4.6%, with an overall diagnostic yield of 17.1%. Diagnostic yield was higher in patients with syndromic ID (70.6%% vs. 29.4%; p = 0.036).

CONCLUSIONS

A sequential approach utilizing WES followed by panel-based analysis, starting with the index case and, when appropriate, including the parents, proves to be a cost-effective strategy. WES is particularly suitable for complex conditions, as it allows for the identification of potentially causative genes beyond those covered by targeted panels, providing a more comprehensive analysis. Including parental testing enhances the diagnostic yield and improves accuracy, especially in cases with variants of uncertain significance (VUS), thereby advancing our understanding of NDDs.

A retrospective study of the yield of next-generation sequencing in the diagnosis of developmental and epileptic encephalopathies and epileptic encephalopathies in 0-12 years aged children at a single tertiary care hospital in South India

OBJECTIVE

Studies on the genetic yield of developmental and epileptic encephalopathy and Epileptic encephalopathies using next-generation sequencing techniques are sparse from the Indian subcontinent. Hence, the study was conducted to assess the yield of genetic testing and the proportion of children where a positive genetic yield influenced treatment decisions.

METHODS

In this retrospective observational study, electronic medical records of children (0-12 years) with suspected genetic epilepsy who underwent genetic testing using whole exome sequencing, focused exome sequencing and epilepsy gene panels were retrieved. Genetic yield was ascertained based on the detection of pathogenic and likely pathogenic variants.

RESULTS

A total of 100 patients with epilepsy underwent genetic testing. A yield of 53.8% (42/78) was obtained. Pathogenic variants were identified in 18 (42.8%) cases and likely pathogenic variants in 24 (57.1%) cases. Yield was 66.6% each through whole exome sequencing, focused exome sequencing and 40% through Epilepsy gene panels (p = .07). Yield was not statistically significant across different age groups (p = .2). It was however found to significantly vary across different epilepsy syndromes with maximum yield in Epilepsy in infancy with migrating focal seizures in 2 (100%), followed by developmental and epileptic encephalopathy unspecified in 14 (77.7%), Dravet syndrome in 14 (60.8%), early infantile developmental and epileptic encephalopathy in 3 (60%), infantile epileptic spasm syndrome in 5 (35.7%), and other epileptic encephalopathies in 4 (30.7%) cases (p = .04). After genetic diagnosis and drug optimization, drug-refractory proportion reduced from 73.8% to 45.3%. About half of the cases achieved seizure control.

SIGNIFICANCE

A reasonably high yield of 53.8% was obtained irrespective of the choice of panel or exome or age group using next-generation sequencing-based techniques. Yield was however higher in certain epilepsy syndromes and low in Infantile epileptic spasms syndrome. A specific genetic diagnosis facilitated tailored treatment leading to seizure freedom in 28.6% and marked seizure reduction in 54.7% cases.

High Diagnostic Yield and Clinical Utility of Next-Generation Sequencing in Children with Epilepsy and Neurodevelopmental Delays: A Retrospective Study

Advances in genetics led to the identification of hundreds of epilepsy-related genes, some of which are treatable with etiology-specific interventions. However, the diagnostic yield of next-generation sequencing (NGS) in unexplained epilepsy is highly variable (10-50%). We sought to determine the diagnostic yield and clinical utility of NGS in children with unexplained epilepsy that is accompanied by neurodevelopmental delays and/or is medically intractable. A 5-year retrospective review was conducted at the American University of Beirut Medical Center to identify children who underwent whole exome sequencing (WES) or whole genome sequencing (WGS). Data on patient demographics, neurodevelopment, seizures, and treatments were collected. Forty-nine children underwent NGS with an overall diagnostic rate of 68.9% (27/38 for WES, and 4/7 for WGS). Most children (42) had neurodevelopmental delays with (18) or without (24) refractory epilepsy, and only three had refractory epilepsy without delays. The diagnostic yield was 77.8% in consanguineous families (18), and 61.5% in non-consanguineous families (26); consanguinity information was not available for one family. Genetic test results led to anti-seizure medication optimization or dietary therapies in six children, with subsequent improvements in seizure control and neurodevelopmental trajectories. Not only is the diagnostic rate of NGS high in children with unexplained epilepsy and neurodevelopmental delays, but also genetic testing in this population may often lead to potentially life-altering interventions.

Clinical use of whole exome sequencing in children with developmental delay/intellectual disability

BACKGROUND

Identifying the underlying etiology of developmental delay/intellectual disability (DD/ID) is challenging but important. The genetic diagnosis of unexplained DD/ID helps in the treatment and prognosis of the disability in patients. In this study, we reported our experience of using whole exome sequencing (WES) of children with unexplained DD/ID.

METHODS

We conducted a retrospective analysis of WES results of children under 19 years of age with unexplained DD/ID between January 2020 and December 2021. The demographic data of all patients and variants identified through WES were evaluated. Furthermore, we evaluated the clinical characteristics that influenced the identification of genetic causes.

RESULTS

Forty-one patients with DD/ID were included, of whom 21 (51.2 %) were male. The average age at symptom onset was 1.6 ± 1.3 years, and the duration from symptom onset to diagnosis was 3.1 ± 3.7 years. Hypotonia was the most common symptom (17 patients, 41.5 %), and epilepsy was confirmed in 10 patients (24.4 %). Twenty-two pathogenic/likely pathogenic variants were identified in 20 patients, and three variants of uncertain significance were identified in three patients. Family-based trio Sanger sequencing for candidate variants of 12 families was conducted; 10 variants were de novo, one variant paternally inherited, and two variants compound heterozygous. The diagnostic yield of WES for DD/ID was 48.8 % and was significantly high in patients with an early onset of DD/ID and facial dysmorphism. In contrast, patients with autism spectrum disorder (ASD) were more likely to have negative WES results compared with others without ASD.

CONCLUSION

The diagnostic yield of WES was 48.8 %. We conclude that patients' characteristics, such as dysmorphic features and the age of symptom onset, can predict the likelihood that WES will identify a causal variant of a phenotype.

Influence of Genetic Polymorphisms on Cognitive Function According to Dietary Exposure to Bisphenols in a Sample of Spanish Schoolchildren

BACKGROUND

Neurodevelopmental disorders (NDDs) like intellectual disability (ID) are highly heritable, but the environment plays an important role. For example, endocrine disrupting chemicals (EDCs), including bisphenol A (BPA) and its analogues, have been termed neuroendocrine disruptors. This study aimed to evaluate the influence of different genetic polymorphisms (SNPs) on cognitive function in Spanish schoolchildren according to dietary bisphenol exposure.

METHODS

A total of 102 children aged 6-12 years old were included. Ten SNPs in genes involved in brain development, synaptic plasticity, and neurotransmission (BDNF, NTRK2, HTR2A, MTHFR, OXTR, SLC6A2, and SNAP25) were genotyped. Then, dietary exposure to bisphenols (BPA plus BPS) was estimated and cognitive functions were assessed using the WISC-V Spanish form.

RESULTS

BDNF rs11030101-T and SNAP25 rs363039-A allele carriers scored better on the fluid reasoning domain, except for those inheriting the BDNF rs6265-A allele, who had lower scores. Secondly, relevant SNP-bisphenol interactions existed in verbal comprehension (NTRK2 rs10868235 (p-int = 0.043)), working memory (HTR2A rs7997012 (p-int = 0.002), MTHFR rs1801133 (p-int = 0.026), and OXTR rs53576 (p-int = 0.030)) and fluid reasoning (SLC6A2 rs998424 (p-int = 0.004)).

CONCLUSIONS

Our findings provide the first proof that exploring the synergistic or additive effects between genetic variability and bisphenol exposure on cognitive function could lead to a better understanding of the multifactorial and polygenic aetiology of NDDs.

Genetic testing for unexplained epilepsy: A review of diagnostic approach, benefits, and referral algorithm

In the last several decades, advances in genetic testing have transformed the diagnostic and therapeutic approach to pediatric epilepsy. However, the interpretation of these genetic tests often requires expert analysis and counseling. For this reason, as our molecular understanding of the linkages between abnormal cerebral physiology and genetics has grown, so too has the field of clinical epilepsy genetics. Here we explore recent advances in genetic testing, describe the benefits of genetic testing in epilepsy, and provide a practice guideline for testing and referrals to specialized epilepsy genetics centers, highlighting the Epilepsy NeuroGenetics Initiative (ENGIN) Clinic and the Center for Epilepsy and Neurodevelopmental Disorders (ENDD) at the Children's Hospital of Philadelphia as an illustration of such a specialized center.

Genetic Testing in Pediatric Epilepsy: Tools, Tips, and Navigating the Traps

With the advent of high-throughput sequencing and computational methods, genetic testing has become an integral part of contemporary clinical practice, particularly in epilepsy. The toolbox for genetic testing has evolved from conventional chromosomal microarray and epilepsy gene panels to state-of-the-art sequencing techniques in the modern genomic era. Beyond its potential for therapeutic benefits through precision medicine, optimizing the choice of antiseizure medications, or exploring nonpharmacological therapeutic modalities, genetic testing carries substantial diagnostic, prognostic, and personal implications. Developmental and epileptic encephalopathies, the coexistence of neurodevelopmental comorbidities, early age of epilepsy onset, unexplained drug-refractory epilepsy, and positive family history have demonstrated the highest likelihood of yielding positive genetic test results. Given the diagnostic efficacy across different testing modalities, reducing costs of next-generation sequencing tests, and genetic diversity of epilepsies, exome sequencing or genome sequencing, where feasible and available, have been recommended as the first-tier test. Comprehensive clinical phenotyping at the outset, corroborative evidence from radiology and electrophysiology-based investigations, reverse phenotyping, and periodic reanalysis are some of the valuable strategies when faced with inconclusive test results. In this narrative review, the authors aim to simplify the approach to genetic testing in epilepsy by guiding on the selection of appropriate testing tools in the indicated clinical scenarios, addressing crucial aspects during pre- and post-test counseling sessions, adeptly navigating the traps posed by uncertain or negative genetic variants, and paving the way forward to the emerging testing modalities beyond DNA sequencing.

Reverse Phenotyping after Whole-Exome Sequencing in Children with Developmental Delay/Intellectual Disability-An Exception or a Necessity?

This study delves into the diagnostic yield of whole-exome sequencing (WES) in pediatric patients presenting with developmental delay/intellectual disability (DD/ID), while also exploring the utility of Reverse Phenotyping (RP) in refining diagnoses. A cohort of 100 pediatric patients underwent WES, yielding a diagnosis in 66% of cases. Notably, RP played a significant role in cases with negative prior genetic testing, underscoring its significance in complex diagnostic scenarios. The study revealed a spectrum of genetic conditions contributing to DD/ID, illustrating the heterogeneity of etiological factors. Despite challenges, WES demonstrated effectiveness, particularly in cases with metabolic abnormalities. Reverse phenotyping was indicated in half of the patients with positive WES findings. Neural network models exhibited moderate-to-exceptional predictive abilities for aiding in patient selection for WES and RP. These findings emphasize the importance of employing comprehensive genetic approaches and RP in unraveling the genetic underpinnings of DD/ID, thereby facilitating personalized management and genetic counseling for affected individuals and families. This research contributes insights into the genetic landscape of DD/ID, enhancing our understanding and guiding clinical practice in this particular field of clinical genetics.

Neonatal Seizures

Neonatal seizures are common among patients with acute brain injury or critical illness and can be difficult to diagnose and treat. The most common etiology of neonatal seizures is hypoxic-ischemic encephalopathy, with other common causes including ischemic stroke and intracranial hemorrhage. Neonatal clinicians can use a standardized approach to patients with suspected or confirmed neonatal seizures that entails laboratory testing, neuromonitoring, and brain imaging. The primary goals of management of neonatal seizures are to identify the underlying cause, correct it if possible, and prevent further brain injury. This article reviews recent evidence-based guidelines for the treatment of neonatal seizures and discusses the long-term outcomes of patients with neonatal seizures.

The expanding diagnostic toolbox for rare genetic diseases

Genomic technologies, such as targeted, exome and short-read genome sequencing approaches, have revolutionized the care of patients with rare genetic diseases. However, more than half of patients remain without a diagnosis. Emerging approaches from research-based settings such as long-read genome sequencing and optical genome mapping hold promise for improving the identification of disease-causal genetic variants. In addition, new omic technologies that measure the transcriptome, epigenome, proteome or metabolome are showing great potential for variant interpretation. As genetic testing options rapidly expand, the clinical community needs to be mindful of their individual strengths and limitations, as well as remaining challenges, to select the appropriate diagnostic test, correctly interpret results and drive innovation to address insufficiencies. If used effectively - through truly integrative multi-omics approaches and data sharing - the resulting large quantities of data from these established and emerging technologies will greatly improve the interpretative power of genetic and genomic diagnostics for rare diseases.

The genetic landscape of autism spectrum disorder in the Middle Eastern population

Introduction: Autism spectrum disorder (ASD) is characterized by aberrations in social interaction and communication associated with repetitive behaviors and interests, with strong clinical heterogeneity. Genetic factors play an important role in ASD, but about 75% of ASD cases have an undetermined genetic risk. Methods: We extensively investigated an ASD cohort made of 102 families from the Middle Eastern population of Qatar. First, we investigated the copy number variations (CNV) contribution using genome-wide SNP arrays. Next, we employed Next Generation Sequencing (NGS) to identify de novo or inherited variants contributing to the ASD etiology and its associated comorbid conditions in families with complete trios (affected child and the parents). Results: Our analysis revealed 16 CNV regions located in genomic regions implicated in ASD. The analysis of the 88 ASD cases identified 41 genes in 39 ASD subjects with de novo (n = 24) or inherited variants (n = 22). We identified three novel de novo variants in new candidate genes for ASD (DTX4, ARMC6, and B3GNT3). Also, we have identified 15 de novo variants in genes that were previously implicated in ASD or related neurodevelopmental disorders (PHF21A, WASF1, TCF20, DEAF1, MED13, CREBBP, KDM6B, SMURF1, ADNP, CACNA1G, MYT1L, KIF13B, GRIA2, CHM, and KCNK9). Additionally, we defined eight novel recessive variants (RYR2, DNAH3, TSPYL2, UPF3B KDM5C, LYST, and WNK3), four of which were X-linked. Conclusion: Despite the ASD multifactorial etiology that hinders ASD genetic risk discovery, the number of identified novel or known putative ASD genetic variants was appreciable. Nevertheless, this study represents the first comprehensive characterization of ASD genetic risk in Qatar's Middle Eastern population.

Healthcare utilization and clinical characteristics of genetic epilepsy in electronic health records

Understanding the clinical characteristics and medical treatment of individuals affected by genetic epilepsies is instrumental in guiding selection for genetic testing, defining the phenotype range of these rare disorders, optimizing patient care pathways and pinpointing unaddressed medical need by quantifying healthcare resource utilization. To date, a matched longitudinal cohort study encompassing the entire spectrum of clinical characteristics and medical treatment from childhood through adolescence has not been performed. We identified individuals with genetic and non-genetic epilepsies and onset at ages 0-5 years by linkage across the Cleveland Clinic Health System. We used natural language processing to extract medical terms and procedures from longitudinal electronic health records and tested for cross-sectional and temporal associations with genetic epilepsy. We implemented a two-stage design: in the discovery cohort, individuals were stratified as being 'likely genetic' or 'non-genetic' by a natural language processing algorithm, and controls did not receive genetic testing. The validation cohort consisted of cases with genetic epilepsy confirmed by manual chart review and an independent set of controls who received negative genetic testing. The discovery and validation cohorts consisted of 503 and 344 individuals with genetic epilepsy and matched controls, respectively. The median age at the first encounter was 0.1 years and 7.9 years at the last encounter, and the mean duration of follow-up was 8.2 years. We extracted 188,295 Unified Medical Language System annotations for statistical analysis across 9659 encounters. Individuals with genetic epilepsy received an earlier epilepsy diagnosis and had more frequent and complex encounters with the healthcare system. Notably, the highest enrichment of encounters compared with the non-genetic groups was found during the transition from paediatric to adult care. Our computational approach could validate established comorbidities of genetic epilepsies, such as behavioural abnormality and intellectual disability. We also revealed novel associations for genitourinary abnormalities (odds ratio 1.91, 95% confidence interval: 1.66-2.20, P = 6.16 × 10-19) linked to a spectrum of underrecognized epilepsy-associated genetic disorders. This case-control study leveraged real-world data to identify novel features associated with the likelihood of a genetic aetiology and quantified the healthcare utilization of genetic epilepsies compared with matched controls. Our results strongly recommend early genetic testing to stratify individuals into specialized care paths, thus improving the clinical management of people with genetic epilepsies.

Validation of targeted next-generation sequencing panels in a cohort of Polish patients with epilepsy: assessing variable performance across clinical endophenotypes and uncovering novel genetic variants

Introduction

Targeted Next-Generation Sequencing Panels (TNGSP) have become a standard in global clinical practice. Instead of questioning the necessity of next-generation sequencing in epilepsy patients, contemporary large-scale research focuses on factors such as the size of TNGSP, the comparative advantages of exome or genome-wide sequencing over TNGSP, and the impact of clinical, electrophysiological, and demographic variables on genetic test performance. This study aims to elucidate the demographic and clinical factors influencing the performance of TNGSP in 138 Polish patients with epilepsy, recognizing the pivotal role of genetic testing in guiding patient management and therapy.

Methods

A retrospective analysis was conducted on patients from a genetic clinic in Poznań, Poland, who underwent commercial gene panel studies at Invitae Corporation (USA) between 2020 and 2022. Patient groups were defined based on the age of onset of the first epileptic seizures, seizure type, gender, fever dependence of seizures, presence of intellectual disability or developmental delay, abnormalities in MRI, and the presence of dysmorphic features or congenital malformations. Seizure classification followed the 2017 ILAE criteria.

Results

Among the 138 patients, 30 (21.7%) exhibited a pathogenic or likely pathogenic variant, with a distribution of 20.7% in males and 22.5% in females. Diagnostic performance correlated with the patient's age at the onset of the first seizure and the type of seizure. Predominant variants were identified in the SCN1A, PRRT2, CDKL5, DEPDC5, TSC2, and SLC2A1 genes. Additionally, 12 genes (CACNA1A, SCN2A, GRIN2A, KCNQ2, CHD2, DYNC1H1, NEXMIF, SCN1B, DDX3X, EEF1A2, NPRL3, UBE3A) exhibited single instances of damage. Notably, novel variants were discovered in DEPDC5, SCN1A, TSC2, CDKL5, NPRL3, DYNC1H1, CHD2, and DDX3X.

Discussion

Identified variants were present in genes previously recognized in both European and non-European populations. A thorough examination of Variants of Uncertain Significance (VUSs), specifically focusing on gene copy number changes, may unveil more extensive chromosomal aberrations. The relatively frequent occurrence of pathological variants in X chromosome-linked genes in girls warrants further investigation, challenging the prevailing notion of male predominance in X-linked epilepsy.

Case report: Assessment of linguistic, cognitive, and sensory profile competencies in a child with ASD and epilepsy

Introduction

Autism Spectrum Disorder (ASD) and epilepsy pose significant challenges for early diagnosis during childhood. Current scientific literature does not reflect robust action protocols that allow for a detailed screening of difficulties in this population, especially in areas such as language, cognition, and sensory profile. Additionally, detecting epilepsy before the age of 4 is established as a major current public health challenge in our society.

Objective

The aim was to evaluate a patient exhibiting symptoms compatible with both ASD and epilepsy, determining the linguistic, cognitive, and sensory profile through a clinical assessment protocol. Furthermore, the objective included establishing a diagnosis of ASD.

Method

This single-case study (N = 1) presents the evaluation of a 7-year-old patient with suspected ASD, experiencing a decline in linguistic and cognitive competencies following a documented epileptic episode. Evaluation was conducted using instruments such as CELF-5, PROLEC-R, WISC-V, ENFEN, PS-2, ADI-R, and ADOS-2.

Results

Following assessment of language, cognition, sensory aspects, and behaviors associated with ASD, the diagnosis of ASD was confirmed in the patient, along with impairments in expressive and receptive language, executive functioning, and alterations in the sensory profile.

Conclusion

Diagnosing ASD and epilepsy, as well as their evaluation, is a complex process requiring interdisciplinary assessment involving a detailed exploration of all functional competencies in individuals with this comorbidity. Future studies should focus on creating and improving existing protocols to develop optimal and effective evaluation strategies for assessing this population during childhood.

Next-generation sequencing testing in children with epilepsy reveals novel clinical, diagnostic and therapeutic implications

Introduction: Epilepsy is one of the commonest diseases in children, characterized by extensive phenotypic and genetic heterogeneity. This study was conducted to determine the diagnostic utility and to identify novel clinical and therapeutic implications of genetic testing in pediatric patients with epilepsy. Methods: Large multigene panel and/or exome sequencing was performed in 127 unrelated Polish and Ukrainian patients with suspected monogenic epilepsy. Diagnostic yields were presented for five phenotypic subgroups, distinguished by seizure type, electroencephalographic abnormalities, anti-seizure treatment response, and neurodevelopmental deficits. Results: A definite molecular diagnosis was established in 46 out of 127 cases (36%). Alterations in six genes were detected in more than one patient: SCN1A, MECP2, KCNT1, KCNA2, PCDH19, SLC6A1, STXBP1, and TPP1, accounting for 48% of positive cases. 4/46 cases (8.7%) were mosaic for the variant. Although the highest rates of positive diagnoses were identified in children with developmental delay and generalized seizures (17/41, 41%) and in developmental end epileptic encephalopathies (16/40, 40%), a monogenic etiology was also frequently detected in patients with solely focal seizures (10/28, 36%). Molecular diagnosis directly influenced anti-seizure management in 15/46 cases. Conclusion: This study demonstrates the high diagnostic and therapeutic utility of large panel testing in childhood epilepsies irrespective of seizure types. Copy number variations and somatic mosaic variants are important disease-causing factors, pointing the need for comprehensive genetic testing in all unexplained cases. Pleiotropy is a common phenomenon contributing to the growing phenotypic complexity of single-gene epilepsies.

Diagnostic Yield of Epilepsy-Genes Sequencing and Chromosomal Microarray in Pediatric Epilepsy

BACKGROUND

Around 40% of individuals with epilepsy have an underlying identifiable genetic etiology. Common methods for epilepsy genetic testing are chromosomal microarray (CMA) and epilepsy-genes sequencing (EGS). Historically, CMA was the first-line test for patients with epilepsy, but recent studies have shown that EGS has a superior diagnostic yield. To further optimize testing algorithms for epilepsy, we compared these tests' diagnostic yields and explored how they are influenced by age of onset and phenotype complexity.

METHODS

Genetic test results from a cohort of patients with epilepsy were used to determine the diagnostic yield of CMA (n = 366) versus EGS (n = 370) for genetic epilepsy etiologies. Further analysis examined the probability of diagnostic results based on age of seizure onset and patients' phenotype complexity.

RESULTS

For patients who underwent CMA, causative variants were found in 28 of 366 cases (7.7%), and 60 of 366 patients (16.4%) had at least one variant of uncertain significance (VUS). For EGS, 65 of 370 (17.6%) cases had causative variants, whereas 155 of 370 (41.9%) had at least one VUS. EGS had a significantly higher diagnostic yield than CMA (odds ratio [OR] = 2.63, P < 0.001). This difference in diagnostic yield was further pronounced among patients with infantile seizure onset (OR = 4.69, P < 0.001) and patients with additional neurological findings (OR = 2.99, P < 0.001).

CONCLUSION

To minimize the time and resources required to reach a diagnosis, clinicians and insurers alike should consider using EGS as an initial diagnostic tool.

Sleep in people with and without intellectual disabilities: a systematic review and meta-analysis

BACKGROUND

Sleep problems are regularly reported in people with intellectual disabilities. Recent years have seen a substantial increase in studies comparing sleep in people with intellectual disabilities to control participants, with an increase in the use of validated, objective measures. Emerging patterns of differences in sleep time and sleep quality warrant pooled investigation.

METHODS

A systematic search was conducted across three databases (Ovid Embase, PsycInfo and Medline) and returned all papers comparing sleep in people with intellectual disabilities to a control group, published since the last meta-analysis on the topic. A quality framework was employed to rate the risk of bias across studies. Separate meta-analyses of sleep duration and sleep quality were conducted. Subgrouping compared findings for those studies with participants with genetic syndromes or neurodevelopmental conditions and those with heterogeneous intellectual disability.

RESULTS

Thirteen new papers were identified and combined with those from the previous meta-analysis to provide 34 papers in total. Quality of studies was generally rated highly, though sampling provided risk of bias and adaptive functioning was rarely measured. People with intellectual disability associated with genetic syndromes or neurodevelopmental conditions sleep for shorter time periods (standardised mean difference = .26) and experience worse sleep quality (standardised mean difference = .68) than their peers. People with intellectual disability of heterogeneous origin show no difference in sleep time but have poorer sleep quality. There was some evidence that age moderated these effects.

CONCLUSIONS

People with intellectual disability have poorer sleep than those without. Subtle patterns suggest that aetiology of intellectual disability moderates the topography of these difficulties, with further work needed to differentiate common and distinct mechanisms across groups.

From diagnosis to treatment in genetic epilepsies: Implementation of precision medicine in real-world clinical practice

The implementation of whole exome sequencing (WES) has had a major impact on the diagnostic yield of genetic testing in individuals with epilepsy. The identification of a genetic etiology paves the way to precision medicine: an individualized treatment approach, based on the disease pathophysiology. The aim of this retrospective cohort study was to: (1) determine the diagnostic yield of WES in a heterogeneous cohort of individuals with epilepsy referred for genetic testing in a real-world clinical setting, (2) investigate the influence of epilepsy characteristics on the diagnostic yield, (3) determine the theoretical yield of treatment changes based on genetic diagnosis and (4) explore the barriers to implementation of precision medicine. WES was performed in 247 individuals with epilepsy, aged between 7 months and 68 years. In 34/247 (14 %) a (likely) pathogenic variant was identified. In 7/34 (21 %) of these individuals the variant was found using a HPO-based filtering. Diagnostic yield was highest for individuals with an early onset of epilepsy (39 %) or in those with a developmental and epileptic encephalopathy (34 %). Precision medicine was a theoretical possibility in 20/34 (59 %) of the individuals with a (likely) pathogenic variant but implemented in only 11/34 (32 %). The major barrier to implementation of precision treatment was the limited availability or reimbursement of a given drug. These results confirm the potential impact of genetic analysis on treatment choices, but also highlight the hurdles to the implementation of precision medicine. To optimize precision medicine in real-world practice, additional endeavors are needed: unifying definitions of precision medicine, establishment of publicly accessible databases that include data on the functional effect of gene variants, increasing availability and reimbursement of precision therapeutics, and broadening access to innovative clinical trials.

Autism Spectrum Disorder with Epilepsy: A Research Protocol for a Clinical and Genetic Study

Autism spectrum disorder (ASD) is a common neurodevelopmental condition affecting ~1% of people worldwide. Core ASD features present with impaired social communication abilities, repetitive and stereotyped behaviors, and atypical sensory responses and are often associated with a series of comorbidities. Among these, epilepsy is frequently observed. The co-occurrence of ASD and epilepsy is currently thought to result from common abnormal neurodevelopmental pathways, including an imbalanced excitation/inhibition ratio. However, the pathological mechanisms involved in ASD-epilepsy co-morbidity are still largely unknown. Here, we propose a research protocol aiming to investigate electrophysiological and genetic features in subjects with ASD and epilepsy. This study will include a detailed electroencephalographic (EEG) and blood transcriptomic characterization of subjects with ASD with and without epilepsy. The combined approach of EEG and transcriptomic studies in the same subjects will contribute to a novel stratification paradigm of the heterogeneous ASD population based on quantitative gene expression and neurophysiological biomarkers. In addition, our protocol has the potential to indicate new therapeutic options, thus amending the current condition of absence of data and guidelines for the treatment of ASD with epilepsy.

Solving the unsolved genetic epilepsies: Current and future perspectives

Many patients with epilepsy undergo exome or genome sequencing as part of a diagnostic workup; however, many remain genetically unsolved. There are various factors that account for negative results in exome/genome sequencing for patients with epilepsy: (1) the underlying cause is not genetic; (2) there is a complex polygenic explanation; (3) the illness is monogenic but the causative gene remains to be linked to a human disorder; (4) family segregation with reduced penetrance; (5) somatic mosaicism or the complexity of, for example, a structural rearrangement; or (6) limited knowledge or diagnostic tools that hinder the proper classification of a variant, resulting in its designation as a variant of unknown significance. The objective of this review is to outline some of the diagnostic options that lie beyond the exome/genome, and that might become clinically relevant within the foreseeable future. These options include: (1) re-analysis of older exome/genome data as knowledge increases or symptoms change; (2) looking for somatic mosaicism or long-read sequencing to detect low-complexity repeat variants or specific structural variants missed by traditional exome/genome sequencing; (3) exploration of the non-coding genome including disruption of topologically associated domains, long range non-coding RNA, or other regulatory elements; and finally (4) transcriptomics, DNA methylation signatures, and metabolomics as complementary diagnostic methods that may be used in the assessment of variants of unknown significance. Some of these tools are currently not integrated into standard diagnostic workup. However, it is reasonable to expect that they will become increasingly available and improve current diagnostic capabilities, thereby enabling precision diagnosis in patients who are currently undiagnosed.

NGS Custom Panel Implementation in Patients with Non-Syndromic Autism Spectrum Disorders in the Clinical Routine of a Tertiary Hospital

Autism spectrum disorder (ASD) is a set of neurodevelopmental disorders characterized by deficiencies in communication, social interaction, and repetitive and restrictive behaviors. The discovery of genetic involvement in the etiology of ASD has made this condition a strong candidate for genome-based diagnostic tests. Next-generation sequencing (NGS) is useful for the detection of variants in the sequence of different genes in ASD patients. Herein, we present the implementation of a personalized NGS panel for autism (AutismSeq) for patients with essential ASD over a prospective period of four years in the clinical routine of a tertiary hospital. The cohort is composed of 48 individuals, older than 3 years, who met the DSM-5 (The Diagnostic and Statistical Manual of Mental Disorders) diagnostic criteria for ASD. The NGS customized panel (AutismSeq) turned out to be a tool with good diagnostic efficacy in routine clinical care, where we detected 12 "pathogenic" (including pathogenic, likely pathogenic, and VUS (variant of uncertain significance) possibly pathogenic variations) in 11 individuals, and 11 VUS in 10 individuals, which had previously been negative for chromosomal microarray analysis and other previous genetic studies, such as karyotype, fragile-X, or MLPA/FISH (Multiplex Ligation dependent Probe Amplification/Fluorescence in situ hybridization) analysis. Our results demonstrate the high genetic and clinical heterogeneity of individuals with ASD and the current difficulty of molecular diagnosis. Our study also shows that an NGS-customized panel might be useful for diagnosing patients with essential/primary autism and that it is cost-effective for most genetic laboratories.

Predictive factors of genetic diagnosis and real-life impact of next-generation sequencing for children with epilepsy

OBJECTIVE

Identify the predictive variables of genetic pathogenic results and the impact of test results on epilepsy diagnosis and management.

METHODS

Analytical observational design evaluated 130 patients with epilepsy that had performed genetic testing over January 2017 to July 2022.

RESULTS

There was a gradual increase in the number of exams performed over the years. The frequency of pathogenic results was 34% (n = 44/130), 8 altered genes with 54% (n = 24/44) of the results. The tests were more positive in patients with developmental delay and/or regression (p = .01). None of the other factors analyzed were associated with higher diagnostic yield. The age at onset of epilepsy brought diagnostic yield to the test (p = .041). Patients with negative genetic test had a reduction in the number of electroencephalograms performed before and after the test (respectively, 3.80 ± 6.37 and .84 ± 1.67; p < .001).

SIGNIFICANCE

Facing a large proportion of patients with unexplained epilepsy have a genetic cause a genetic test has the potential to reduce the use of unnecessary diagnostic tests, improve patient outcomes by identifying targeted treatments, and provide families with genetic counseling and risk assessment. But an early genetic testing can be crucial to reach these goals. Even in cases where the genetic test is negative, the study suggests that it still has important implications for patient care and management.

Epilepsy phenotype and gene ontology analysis of the 129 genes in a large neurodevelopmental disorders cohort

Objective

Although pediatric epilepsy is an independent disease entity, it is often observed in pediatric neurodevelopmental disorders (NDDs) as a major or minor clinical feature, which might provide diagnostic clues. This study aimed to identify the clinical and genetic characteristics of patients with epilepsy in an NDD cohort and demonstrate the importance of genetic testing.

Methods

We retrospectively analyzed the detailed clinical differences of pediatric NDD patients with epilepsy according to their genetic etiology. Among 1,213 patients with NDDs, 477 were genetically diagnosed by exome sequencing, and 168 had epilepsy and causative variants in 129 genes. Causative genes were classified into two groups: (i) the "epilepsy-genes" group resulting in epilepsy as the main phenotype listed in OMIM, Epi25, and ClinGen (67 patients) and (ii) the "NDD-genes" group not included in the "epilepsy-genes" group (101 patients).

Results

Patients in the "epilepsy-genes" group started having seizures, often characterized by epilepsy syndrome, at a younger age. However, overall clinical features, including treatment responses and all neurologic manifestations, showed no significant differences between the two groups. Gene ontology analysis revealed the close interactions of epilepsy genes associated with ion channels and neurotransmitters.

Conclusion

We demonstrated a similar clinical presentation of different gene groups regarding biological/molecular processes in a large NDDs cohort with epilepsy. Phenotype-driven genetic analysis should cover a broad scope, and further studies are required to elucidate integrated pathomechanisms.

Publicly funded exome sequencing for outpatients with neurodevelopmental disorders demonstrates a high rate of unexpected findings impacting medical management

Purpose

Exome sequencing (ES) is a powerful tool that facilitates the diagnosis of patients with rare Mendelian syndromes. In 2018 the Israeli Ministry of Health initiated a national pilot program that funds ES for outpatients with global developmental delay (GDD). Here, we describe the 3-year impact of this program on patient care in a single tertiary hospital.

Methods

From 2018 to 2020, trio ES was performed on 170 participants fulfilling Israeli Ministry of Health criteria: (1) moderate to severe GDD and (2) mild GDD with epilepsy or a major congenital anomaly. We retrospectively analyzed this cohort.

Results

A diagnosis was achieved in 74 individuals (43%). There were 82 clinically significant variants, the majority being novel. Consanguinity was reported in 22% and was not associated with a higher diagnostic rate. The presence of autism spectrum was associated with a lower diagnostic rate of 8/33 (24%). Autosomal dominant inheritance was identified in 14% of participants, and the parental phenotype ranged between fully affected and asymptomatic. Among the diagnosed participants, 16% had an unexpected diagnosis that did not fit the typical clinical presentation. In 9%, the diagnosis changed short-term active clinical management, in 19%, the surveillance recommendations, and in 23%, the family-focused outcomes.

Conclusion

The introduction of a national program that funds ES for GDD has transformed patient care, leading to a significant effect on medical management and treatment. The high rate of an unexpected inheritance mode and variable phenotypes emphasizes the diagnostic complexity of neurodevelopmental disorders and the strength of a non-targeted approach.

Linkage of whole genome sequencing and administrative health data in autism: A proof of concept study

Whether genetic testing in autism can help understand longitudinal health outcomes and health service needs is unclear. The objective of this study was to determine whether carrying an autism-associated rare genetic variant is associated with differences in health system utilization by autistic children and youth. This retrospective cohort study examined 415 autistic children/youth who underwent genome sequencing and data collection through a translational neuroscience program (Province of Ontario Neurodevelopmental Disorders Network). Participant data were linked to provincial health administrative databases to identify historical health service utilization, health care costs, and complex chronic medical conditions during a 3-year period. Health administrative data were compared between participants with and without a rare genetic variant in at least 1 of 74 genes associated with autism. Participants with a rare variant impacting an autism-associated gene (n = 83, 20%) were less likely to have received psychiatric care (at least one psychiatrist visit: 19.3% vs. 34.3%, p = 0.01; outpatient mental health visit: 66% vs. 77%, p = 0.04). Health care costs were similar between groups (median: $5589 vs. $4938, p = 0.4) and genetic status was not associated with odds of being a high-cost participant (top 20%) in this cohort. There were no differences in the proportion with complex chronic medical conditions between those with and without an autism-associated genetic variant. Our study highlights the feasibility and potential value of genomic and health system data linkage to understand health service needs, disparities, and health trajectories in individuals with neurodevelopmental conditions.

Assessing Diversity in Newborn Genomic Sequencing Research Recruitment: Race/Ethnicity and Primary Spoken Language Variation in Eligibility, Enrollment, and Reasons for Declining

PURPOSE

Diagnostic genomic research has the potential to directly benefit participants. This study sought to identify barriers to equitable enrollment of acutely ill newborns into a diagnostic genomic sequencing research study.

METHODS

We reviewed the 16-month recruitment process of a diagnostic genomic research study enrolling newborns admitted to the neonatal intensive care unit at a regional pediatric hospital that primarily serves English- and Spanish-speaking families. Differences in eligibility, enrollment, and reasons for not enrolling were examined as functions of race/ethnicity and primary spoken language.

FINDINGS

Of the 1248 newborns admitted to the neonatal intensive care unit, 46% (n = 580) were eligible, and 17% (n = 213) were enrolled. Of the 16 languages represented among the newborns' families, 4 (25%) had translated consent documents. Speaking a language other than English or Spanish increased a newborn's likelihood of being ineligible by 5.9 times (P < 0.001) after controlling for race/ethnicity. The main reason for ineligibility was documented as the clinical team declined having their patient recruited (41% [51 of 125]). This reason significantly affected families who spoke languages other than English or Spanish and was able to be remediated with training of the research staff. Stress (20% [18 of 90]) and the study intervention(s) (20% [18 of 90]) were the main reasons given for not enrolling.

IMPLICATIONS

This analysis of eligibility, enrollment, and reasons for not enrolling in a diagnostic genomic research study found that recruitment generally did not differ as a function of a newborn's race/ethnicity. However, differences were observed depending on the parent's primary spoken language. Regular monitoring and training can improve equitable enrollment into diagnostic genomic research. There are also opportunities at the federal level to improve access to those with limited English proficiency and thus decrease disparities in representation in research participation.

25(OH)Vitamin D and autism spectrum disorder: genetic overlap and causality

OBJECTIVE

To identify whether there exists a genetic correlation and causal relationship between 25(OH)D and autism spectrum disorder (ASD).

METHODS

Based on large-scale genome-wide association studies, a series of genetic approaches were adopted to obtain summary statistics. Using linkage disequilibrium score regression, we assessed the shared polygenic structure between traits and performed pleiotropic analysis under composite null hypothesis (PLACO) to identify pleiotropic loci between complex traits. A bidirectional Mendelian randomization (MR) analysis was applied to investigate whether there is a causal relationship between 25(OH)D and ASD.

RESULTS

The linkage disequilibrium score regression (LDSC) showed a negative genetic correlation between 25(OH)D and ASD (rg = - 0.227, P < 0.05), and PLACO analysis identified 20 independent pleiotropic loci matched to 24 pleiotropic genes, of which the function reveals an underlying mechanism on 25(OH)D and ASD. In Mendelian randomization analysis, the inverse variance-weighted (IVW) method with OR = 0.941 (0.796, 1.112) and p < 0.474 did not show a causal relationship between 25(OH)D and ASD, while, in the reverse Mendelian randomization analysis, IVW method showed OR = 1.042 (0.930, 1.169), indicating no causal relationship either.

CONCLUSION

This study provides evidence for a shared genetic overlap between 25(OH)D and ASD. Bidirectional MR analysis also did not show a definite causal relationship between 25(OH)D and ASD.

High Performance of a Dominant/X-Linked Gene Panel in Patients with Neurodevelopmental Disorders

Neurodevelopmental disorders (NDDs) affect 2–5% of the population and approximately 50% of cases are due to genetic factors. Since de novo pathogenic variants account for the majority of cases, a gene panel including 460 dominant and X-linked genes was designed and applied to 398 patients affected by intellectual disability (ID)/global developmental delay (GDD) and/or autism (ASD). Pathogenic variants were identified in 83 different genes showing the high genetic heterogeneity of NDDs. A molecular diagnosis was established in 28.6% of patients after high-depth sequencing and stringent variant filtering. Compared to other available gene panel solutions for NDD molecular diagnosis, our panel has a higher diagnostic yield for both ID/GDD and ASD. As reported previously, a significantly higher diagnostic yield was observed: (i) in patients affected by ID/GDD compared to those affected only by ASD, and (ii) in females despite the higher proportion of males among our patients. No differences in diagnostic rates were found between patients affected by different levels of ID severity. Interestingly, patients harboring pathogenic variants presented different phenotypic features, suggesting that deep phenotypic profiling may help in predicting the presence of a pathogenic variant. Despite the high performance of our panel, whole exome-sequencing (WES) approaches may represent a more robust solution. For this reason, we propose the list of genes included in our customized gene panel and the variant filtering procedure presented here as a first-tier approach for the molecular diagnosis of NDDs in WES studies.

The Autism Spectrum: Behavioral, Psychiatric and Genetic Associations

Autism spectrum disorder (ASD) consists of a group of heterogeneous genetic neurobehavioral disorders associated with developmental impairments in social communication skills and stereotypic, rigid or repetitive behaviors. We review common behavioral, psychiatric and genetic associations related to ASD. Autism affects about 2% of children with 4:1 male-to-female ratio and a heritability estimate between 70 and 90%. The etiology of ASD involves a complex interplay between inheritance and environmental factors influenced by epigenetics. Over 800 genes and dozens of genetic syndromes are associated with ASD. Novel gene–protein interactions with pathway and molecular function analyses have identified at least three functional pathways including chromatin modeling, Wnt, Notch and other signaling pathways and metabolic disturbances involving neuronal growth and dendritic spine profiles. An estimated 50% of individuals with ASD are diagnosed with chromosome deletions or duplications (e.g., 15q11.2, BP1-BP2, 16p11.2 and 15q13.3), identified syndromes (e.g., Williams, Phelan-McDermid and Shprintzen velocardiofacial) or single gene disorders. Behavioral and psychiatric conditions in autism impacted by genetics influence clinical evaluations, counseling, diagnoses, therapeutic interventions and treatment approaches. Pharmacogenetics testing is now possible to help guide the selection of psychotropic medications to treat challenging behaviors or co-occurring psychiatric conditions commonly seen in ASD. In this review of the autism spectrum disorder, behavioral, psychiatric and genetic observations and associations relevant to the evaluation and treatment of individuals with ASD are discussed.

Genetics of autism spectrum disorders and future direction

Autism spectrum disorders (ASDs) have been increasing in prevalence. ASD is a complex human genetic disorder with high heredity and involves interactions between genes and the environment. A significant inheritance pattern in ASD involves a rare genetic mutation; common copy number variants refer to duplication or deletion of stretches of chromosomal loci or protein-disrupting single-nucleotide variants. Haploinsufficiency is one of the more common single-gene causes of ASD, explaining at least 0.5% of cases. Epigenetic mechanisms, such as DNA methylation, act at an interface of genetic and environmental risk and protective factors. Advances in genome-wide sequencing have broadened the view of the human methylome and have revealed the organization of the human genome into large-scale methylation domains with a footprint over neurologically important genes involved in embryonic development. Psychiatric disorders, including ASD, are expected to be diagnosed based on their genetically regulated pathophysiology and to be linked to their treatment.

Targeted sequencing and clinical strategies in children with autism spectrum disorder: A cohort study

Objectives: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with genetic and clinical heterogeneity. Owing to the advancement of sequencing technologies, an increasing number of ASD-related genes have been reported. We designed a targeted sequencing panel (TSP) for ASD based on next-generation sequencing (NGS) to provide clinical strategies for genetic testing of ASD and its subgroups.

Methods: TSP comprised 568 ASD-related genes and analyzed both single nucleotide variations (SNVs) and copy number variations (CNVs). The Autism Diagnostic Observation Schedule (ADOS) and the Griffiths Mental Development Scales (GMDS) were performed with the consent of ASD parents. Additional medical information of the selected cases was recorded.

Results: A total of 160 ASD children were enrolled in the cohort (male to female ratio 3.6:1). The total detection yield was 51.3% for TSP (82/160), among which SNVs and CNVs accounted for 45.6% (73/160) and 8.1% (13/160), respectively, with 4 children having both SNVs and CNV variants (2.5%). The detection rate of disease-associated variants in females (71.4%) was significantly higher than that in males (45.6%, p = 0.007). Pathogenic and likely pathogenic variants were detected in 16.9% (27/160) of the cases. SHANK3, KMT2A, and DLGAP2 were the most frequent variants among these patients. Eleven children had de novo SNVs, 2 of whom had de novo ASXL3 variants with mild global developmental delay (DD) and minor dysmorphic facial features besides autistic symptoms. Seventy-one children completed both ADOS and GMDS, of whom 51 had DD/intellectual disability (ID). In this subgroup of ASD children with DD/ID, we found that children with genetic abnormalities had lower language competence than those without positive genetic findings (p = 0.028). There was no correlation between the severity of ASD and positive genetic findings.

Conclusion: Our study revealed the potential of TSP, with lower cost and more efficient genetic diagnosis. We recommended that ASD children with DD or ID, especially those with lower language competence, undergo genetic testing. More precise clinical phenotypes may help in the decision-making of patients with genetic testing.

Prader-Willi Syndrome and Chromosome 15q11.2 BP1-BP2 Region: A Review

Prader-Willi syndrome (PWS) is a complex genetic disorder with three PWS molecular genetic classes and presents as severe hypotonia, failure to thrive, hypogonadism/hypogenitalism and developmental delay during infancy. Hyperphagia, obesity, learning and behavioral problems, short stature with growth and other hormone deficiencies are identified during childhood. Those with the larger 15q11-q13 Type I deletion with the absence of four non-imprinted genes (NIPA1, NIPA2, CYFIP1, TUBGCP5) from the 15q11.2 BP1-BP2 region are more severely affected compared with those with PWS having a smaller Type II deletion. NIPA1 and NIPA2 genes encode magnesium and cation transporters, supporting brain and muscle development and function, glucose and insulin metabolism and neurobehavioral outcomes. Lower magnesium levels are reported in those with Type I deletions. The CYFIP1 gene encodes a protein associated with fragile X syndrome. The TUBGCP5 gene is associated with attention-deficit hyperactivity disorder (ADHD) and compulsions, more commonly seen in PWS with the Type I deletion. When the 15q11.2 BP1-BP2 region alone is deleted, neurodevelopment, motor, learning and behavioral problems including seizures, ADHD, obsessive-compulsive disorder (OCD) and autism may occur with other clinical findings recognized as Burnside-Butler syndrome. The genes in the 15q11.2 BP1-BP2 region may contribute to more clinical involvement and comorbidities in those with PWS and Type I deletions.

Proband only exome sequencing in 403 Indian children with neurodevelopmental disorders: Diagnostic yield, utility and challenges in a resource-limited setting

Whole exome sequencing is recommended as the first tier test for neurodevelopmental disorders (NDDs) with trio being an ideal option for the detection of de novo variants. Cost constraints have led to adoption of sequential testing i.e. proband-only whole exome followed by targeted testing of parents. The reported diagnostic yield for proband exome approach ranges between 31 and 53%. Typically, these study designs have aptly incorporated targeted parental segregation before concluding a genetic diagnosis to be confirmed. The reported estimates however do not accurately reflect the yield of proband only standalone whole -exome, a question commonly posed to the referring clinician in self pay medical systems like India. To assess the utility of standalone proband exome (without follow up targeted parental testing), we retrospectively evaluated 403 cases of neurodevelopmental disorders referred for proband-only whole exome sequencing at Neuberg Centre for Genomic Medicine (NCGM), Ahmedabad during the period of January 2019 and December 2021. A diagnosis was considered confirmed only upon the detection of Pathogenic/Likely Pathogenic variants in concordance with patient's phenotype as well as established inheritance pattern. Targeted parental/familial segregation analysis was recommended as a follow up test where applicable. The diagnostic yield of the proband-only standalone whole exome was 31.5%. Only 20 families submitted samples for follow up targeted testing, and a genetic diagnosis was confirmed in twelve cases increasing the yield to 34.5%. To understand factors leading to poor uptake of sequential parental testing, we focused on cases where an ultra-rare variant was detected in hitherto described de novo dominant neurodevelopmental disorder. A total of 40 novel variants in genes associated with de novo autosomal dominant disorders could not be reclassified as parental segregation was denied. Semi-structured telephonic interviews were conducted upon informed consent to comprehend reasons for denial. Major factors influencing decision making included lack of definitive cure in the detected disorders; especially when couples not planning further conception and financial constraints to fund further targeted testing. Our study thus depicts the utility and challenges of proband-only exome approach and highlights the need for larger studies to understand factors influencing decision making in sequential testing.

Association of intellectual disability with overall and type-specific cardiovascular diseases: a population-based cohort study in Denmark

BACKGROUND

Individuals with mental health problems have been shown to have an increased risk of cardiovascular disorder (CVD), but little is known about the risk of early-onset CVD among those with intellectual disability. We aimed to investigate the association between intellectual disability and subsequent CVD, taking into consideration the severity of intellectual disability and neurodevelopmental and neurologic comorbidity.

METHODS

This population-based cohort study used individual-level linked data from Danish national health registries. Participants were all live-born singletons born in Denmark during 1978-2016 (n = 2,288,393). Follow-up began from birth and continued until the onset of CVD, death, emigration, or December 31, 2018, whichever came first. Clinical diagnosis of any CVD or type-specific CVDs was identified in the Danish National Patient Register. Time-varying Cox regression analyses were used to estimate the hazard ratio (HR) of intellectual disability associated with overall and type-specific CVDs.

RESULTS

A total of 11,954 individuals received a diagnosis of intellectual disability (7434 males and 4520 females). During a median follow-up time of 18.5 years (interquartile range, 18.1 years), 652 individuals with intellectual disability (5.5%) received a diagnosis of CVD (incidence rate, 2.4 per 1000 person-years), compared with 78,088 (3.4%) CVD cases in individuals without intellectual disability (incidence rate, 1.9 per 1000 person-years), corresponding to a HR of 1.24 (95% CI, 1.15-1.34). Increased risks of CVD were similar in both childhood (HR, 1.24; 95% CI, 1.08-1.43) and early adulthood (HR, 1.25; 95% CI, 1.14-1.38). For type-specific CVDs, intellectual disability was significantly associated with cerebrovascular disease (HR, 2.50; 95% CI, 2.02-3.10), stroke (HR, 2.20; 95% CI, 1.69-2.86), heart failure (HR, 3.56; 95% CI, 2.37-5.35), hypertensive disease (HR, 1.30; 95% CI, 1.22-1.39), and deep vein thrombosis (HR, 2.10; 95% CI, 1.60-2.75). Stratified HRs of overall CVD were 1.14 (95% CI, 1.01-1.30) for borderline/mild intellectual disability, 1.25 (95% CI, 1.01-1.54) for moderate intellectual disability, and 1.91 (95% CI, 1.47-2.48) for severe/profound intellectual disability. After the exclusion of individuals with neurodevelopmental and neurologic comorbidity, intellectual disability remained significantly associated with increased risks of CVD.

CONCLUSIONS

Individuals with intellectual disability had increased risks of early-onset CVD, in particular, for cerebrovascular disease, stroke, heart failure, and deep vein thrombosis, and the risks also increased with the severity of intellectual disability. Our findings highlight the awareness of increased risks of CVD in intellectual disability patients.