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. 2024 Jul 23;2:101873. doi: 10.1016/j.gimo.2024.101873

ARID1B-related disorder in 87 adults: Natural history and self-sustainability

PJ van der Sluijs 1, M Gösgens 1, AJM Dingemans 2, P Striano 3,4, A Riva 4,5, C Mignot 6, A Faudet 7, G Vasileiou 8,9, M Walther 8, SA Schrier Vergano 10,11, M Alders 12, FS Alkuraya 13,14, I Alorainy 15, HS Alsaif 13,16, B Anderlid 17, I Bache 18, I van Beek 12, M Blanluet 19, BW van Bon 20, T Brunet 21,22, H Brunner 2, ML Carriero 23, P Charles 6, N Chatron 24,25, E Coccia 26, C Dubourg 27,28, RK Earl 29, EE Eichler 30,31, L Faivre 32,33, N Foulds 34, C Graziano 35, AM Guerrot 36, MO Hashem 13, S Heide 7, D Heron 7, SE Hickey 37,38, SMJ Hopman 39, A Kattentidt-Mouravieva 40, J Kerkhof 41, JS Klein Wassink-Ruiter 42, EC Kurtz-Nelson 29,43, K Kušíková 44, M Kvarnung 17, F Lecoquierre 36, GS Leszinski 21, L Loberti 23,45, PL Magoulas 46, F Mari 23, I Maystadt 47, G Merla 48,49, JM Milunsky 50, S Moortgat 47, G Nicolas 36, MO’ Leary 51, S Odent 28,52, JR Ozmore 53, K Parbhoo 37,54, R Pfundt 2, M Piccione 55,56, AM Pinto 23, B Popp 57, A Putoux 24, HL Rehm 51, A Reis 8,9, A Renieri 23,45, JA Rosenfeld 46,58, M Rossi 24, E Salzano 55, P Saugier-Veber 36, M Seri 26, G Severi 26, FM Sonmez 59, G Strobl-Wildemann 60, KE Stuurman 61, E Uctepe 62, H Van Esch 63, G Vitetta 26, BBA de Vries 2, D Wahl 64, T Wang 30,65,66,67, P Zacher 68, KR Heitink 69, FG Ropers 70, D Steenbeek 71, T Rybak 72, GWE Santen 1,
PMCID: PMC11613905  PMID: 39669611

Abstract

Purpose

ARID1B is one of the most frequently mutated genes in intellectual disability cohorts. Thus, far few adult-aged patients with ARID1B-related disorder have been described, which limits our understanding of the disease’s natural history and our ability to counsel patients and their families.

Methods

Data on patients aged 18+ years with ARID1B-related disorder were collected through an online questionnaire completed by clinicians and parents.

Results

Eighty-seven adult patients with ARID1B were included. Cognitive functioning ranged from borderline to severe intellectual disability. Patients identified through the genetic workup of their child were either mosaic or had a variant in exon 1. New clinical features identified in this population are loss of skill (16/64, 25%) and recurrent patella luxation (12/45, 32%). Self-sustainability data showed that 88% (45/51) could eat independently, and 16% (7/45) could travel alone by public transport. Facial photo analysis showed that patients’ photographs taken at different ages clustered consistently, separate from matched controls.

Conclusion

The ARID1B spectrum is broad, and as patients age, there is a significant shift in the medical aspects requiring attention. To address the changing medical needs with increasing age, we have formulated recommendations to promote timely intervention in an attempt to mitigate disease progression.

Keywords: Adult, ARID1B, Coffin–Siris syndrome, Developmental delay, Intellectual disability

Introduction

ARID1B (HUGO Gene Nomenclature Committee: 18040) is one of the most frequently mutated genes in intellectual disability (ID) and neurodevelopmental delay (NDD) cohorts at around 1%.1, 2, 3, 4 The phenotypic spectrum of ARID1B-related disorder is broad, ranging from severe ID in Coffin–Siris syndrome (CSS) patients (OMIM 135900) to normal IQ scores in patients with developmental delay.5

Although many challenges faced by patients during childhood are well-documented (such as feeding difficulties, failure to thrive, and seizures)5, 6, 7, 8 there remains a significant knowledge gap regarding the obstacles they encounter later in adult life. This knowledge gap is common in genetic ID and NDD, as most published patients are minors.

Although there are sporadic case reports of adult patients with ARID1B-related disorder,7, 8, 9, 10, 11 it is unclear whether these represent a biased subset of the phenotype. Thus, studies documenting the development, functioning, and challenges faced by adult-aged patients in large cohorts are needed to improve the counseling of parents about the diagnosis, provide appropriate screening and guidance to diagnosed patients, and facilitate the transition of patients from pediatric to adult care.12 To provide a more complete overview of adult patients with ARID1B-related disorder, we acquired and analyzed data from 87 adult-aged patients, investigated the natural history of this disorder, assessed functional (in)dependence, identified potential comorbidities associated with aging, and aggregated these data into screening recommendations.

Materials and Methods

Patient collection

Patients with a heterozygous pathogenic variant in ARID1B and aged 18 years and above were identified through the following diverse sources: national and international colleagues approaching us with their patients; ClinVar; Leiden Open Variant Database; contacts from the Baylor Genetics Laboratories; physician referrals for second opinions; and the Facebook group named ”Coffin-Siris Syndrome Group”. Additionally, recruitment took place through the outpatient CSS expertise center at Leiden University Medical Center, Leiden, the Netherlands.

Data collection

Data were collected through an online questionnaire which was completed by the referring physician. If possible, parents were also asked to complete an online questionnaire (languages available were English, Dutch, French, German, Italian and Japanese). The clinical questionnaire focused on medical history and physical examination. Although several questions overlapped with those in the parental questionnaire, the parental questionnaire also included additional inquiries about activities of daily living and overall functioning. Variable labels of all questions are included in Supplemental Excel 1. When 2 patients with the same pathogenic variant were included, their phenotypes were compared. If overlapping features were observed, contributing clinicians were contacted to verify whether these were different patients. In this manner, we were able to identify 2 duplicate entries.

Data assessment

Alamut Visual Plus version 1.6.1 was used to translate the genetic variant or derive the missing genomic location if a genetic variant was reported on a different ARID1B transcript, if another genomic build was used, or if the genomic location was not reported. If the standard deviation score (SDS) was not reported, and raw data on weight, height, or occipital–frontal circumference (OFC) were available, the SDS was determined using published growth charts.13,14 Furthermore, we contacted clinicians of published patients with ARID1B-related disorders (now aged 18+) by email to request an update. All analyses were executed using SPSS version 25. R version 4.2.1 was used to create graphs. Control data for survival were derived from the Human Mortality database as reported by Beltrán-Sánchez et al15 and Verguet et al16, data on developmental milestones were derived from Sheldrick et al17 and data on toilet training from Schum et al.18

PhenoScore

To assess whether the individuals in this study had a facial gestalt distinguishable from other NDD patients, the facial module of PhenoScore was utilized. PhenoScore is a next-generation phenomics framework that uses artificial intelligence to assess whether the phenotype of a specific group is different from that of age-, sex- and ethnicity-matched controls with neurodevelopmental disorders.19 In this case, we used QMagFace20 as the facial feature extraction method in PhenoScore and then trained it to see whether the facial features of the investigated individuals were different from those of matched controls with NDD. Matched NDD controls were derived from the in-house database of the Radboud University Medical Center with over 1,200 individuals seen at their outpatient clinic.19 The individuals included in this study comprise a sample of patients with Neurodevelopmental Disorders (NDD) seen at the Radboud University Medical Center. This cohort encompasses both individuals with known genetic causes of NDD and those with unknown causes. Most of the individuals in this group have undergone exome sequencing to identify potential genetic factors contributing to their condition. This sample is not biased or overrepresented by specific genetic disorders; rather, it represents a random and non-selected subset of the NDD population. In other words, it reflects the diversity and heterogeneity typically observed within the NDD population. For the full methodology of PhenoScore, please see Dingemans et al.19 These analyzes were performed for the whole study group and different subgroups based on age.

Results

Eighty-seven adult-aged patients with pathogenic variants in ARID1B were included. For all patients, an online clinical survey was completed by the clinician. In 53 cases (61%) parents also completed an online questionnaire about their child. Forty-five patients have previously been published, and in 38 of them (84%) clinical data were updated (Supplemental Table 1). Facial photographs were available for 55 patients, and parents or caretakers provided consent for publication for 38 patients (Figure 1A and Supplemental Figure 1).

Figure 1.

Figure 1

Figure 1

Figure 1

General characteristicts of the adultARID1Bpopulation. A. Facial photos of ARID1B patients. B. ARID1B transcript with pathogenic variants identified in our patients. C. Survival plot for death n = 87. Histogram of the SDS of (D) Birthweight, n = 53; (E) Height, n = 69; (F) weight for length, n = 55; (G) OFC, n = 55. H. Distribution of ID severity n = 87. I. IQ score n = 32. Cumulative distribution of developmental milestones (J) sitting, n = 61; (K) walking, n = 74; (L) first words, n = 63; (M) toilet trained stool, n = 44. ∗Percentiles of mortality are based on data derived from the Human Mortality database as reported by Beltrán-Sánchez et al15 and Verguet et al.16 Percentiles of developmental milestones are based on normative data of children without developmental delay.17,18 ID, intellectual disability; IQ, intellectual quotient; SDS, standard deviation score.

Genotype

Figure 1B and Supplemental Table 1 give an overview of the ARID1B variants in our cohort. In 6 cases, the variant was passed on to 1 or more children (currently < 18 years of age, therefore their data was not included in this manuscript). Two of these patients had a mosaic variant. In 62 patients the pathogenic variant was de novo. In the remaining 19 patients, inheritance could not be determined or only 1 parent was available for testing. One inherited variant (ie., NM_020732.3:c. c.63_73del p.(Glu22Glnfs∗206)) was identified through exome sequencing and was initially classified as a variant of uncertain significance due to its location early in the transcript. Additional DNA methylation analysis on DNA derived from blood showed a BAFopathy episignature (Supplemental Figure 2), after which this variant was reclassified as pathogenic. All patients have variants predicted to lead to haploinsufficiency. A prior suspicion of CSS was present in 22.8% (18/79) of the cases. Figure 1B shows the distribution of pathogenic variants and degree of ID. Aside from the pathogenic variants in ARID1B, no other pathogenic deletions, duplications, or single nucleotide variants were identified in our patient cohort.

Phenotype

An overview of patients’ characteristics is given in Table 1 and Supplemental Table 2. Ages ranged from 18 to 69 years with a median of 23.3 years. One patient died at the age of 24 years due to renal abscesses, and 1 patient died at the age of 47.2 years by asphyxiation due to choking on food (see also Figure 1C).

Table 1.

Clinical characteristics of ARID1B patients

Patient Groups:
18+ (LoF)
LoF Exon 1
LoF > Exon 1
Mosaic
Clinical Features + n = 85 % P Valuea Testa n = 16 % n = 69 % n = 2 %
 Age (nr, min-max) 85 (18-69) 0.64 T 16 (18,5-48,5) 69 (18-69) 2 (35-37)
 Sex (female) 85 61% 0.78 Chi 16 56% 69 62% 2 50%
 Died 85 2% 1.00 F 16 0% 69 3% 2 0%
Growth parameters & development
 Gestational age, weeks (mean) 73 224 0.19 T 11 275 62 213 1 -
 Birthweight (<-2 SDS) 53 11% 0.58 F 7 0% 46 13% 0 -
 Height at birth (<-2 SDS) 16 31% 1.00 F 2 0% 14 36% 0 -
 OFC at birth (<-2 SDS) 18 6% 1.00 F 3 0% 15 7% 0 -
 Age last measurements, years (nr, min-max) 83 (4,2-69) 0.59 T 16 (11,8-40) 67 (4,2-69) 2 (35-37)
 Weight (<-2 SDS) 55 0% - - 6 0% 49 0% 0 -
 BMI >25 kg/m² or overweight 70 56% 1.00 F 10 60% 60 52% 1 100%
 Length (<-2 SDS) 69 54% 0.49 F 9 67% 60 52% 2 50%
 OFC (<-2 SDS) 55 5% 1.00 F 9 0% 46 7% 1 0%
 Motor delay 78 92% 0.01 F 14 71% 64 97% 2 0%
 Motor skills gross, delayed 78 76% 0.31 F 14 64% 64 78% 2 0%
 Motor skills fine, delayed 78 65% 0.07 F 14 43% 64 70% 2 0%
 Speech, delayed 81 98% 0.35 F 15 93% 66 98% 2 0%
 Sleeping problems 59 36% 0.24 F 8 13% 51 39% 1 0%
 Obstructive sleep apnea 85 1% 1.00 F 16 0% 69 1% 2 0%
 Laryngomalacia 53 9% 1.00 F 10 10% 43 9% 2 0%
 Feeding difficulties 81 65% 0.03 Chi 15 40% 66 71% 2 0%
 Duration of feeding problems 42 0.17 F 5 37 0
 Brief 40% 60% 38% -
 Several years 38% 0% 43% -
 Ongoing 21% 40% 19% -
 Recurrent infections 71 39% 0.75 F 12 33% 59 41% 1 0%
 Upper airway tract 71 4% 1.00 F 12 0% 59 5% 1 0%
 Lower airway tract 71 3% 1.00 F 12 0% 59 3% 1 0%
 ENT infections 71 17% 0.68 F 12 8% 59 19% 1 0%
 Otitis media 71 14% 0.67 F 12 17% 59 14% 1 0%
 Urinary tract 71 8% 1.00 F 12 8% 59 8% 1 0%
Neurological features
 IQ (nr, min-max) 32 (20-80) 0.48 T 4 (54-65) 28 (20-80) 0 -
 Intellectual disability 85 93% 0.08 F 16 81% 69 96% 2 0%
 Borderline 0 7% 19% 4% 50%
 Mild 0 28% 38% 26% 0%
 Mild-moderate - - - - - - - - - -
 Moderate 0 42% 31% 45% 0%
 Moderate-severe - - - - - - - - - -
 Severe 0 20% 13% 22% 0%
 Profound 0% 0% 3% 0%
 Hypotonia 74 77% 0.13 F 12 58% 62 81% 2 0%
 Seizures 81 47% 0.67 F 14 36% 67 49% 2 0%
 No seizures, but abnormal EEG 7% 7% 7% 0%
 Still experiencing seizures 20 15% 0.15 F 1 100% 19 11% 0 -
 Loss of skill 64 25% 0.45 F 10 0% 54 30% 2 0%
 Motoric 0 11% 0% 13% 0%
 Speech 0 8% 0% 9% 0%
 Unspecified 0 8% 0% 9% 0%
 Agenesis of the corpus callosum 58 47% 0.94 F 8 50% 50 46% 2 0%
 Partial/hypoplasia 31% 38% 30% 0%
 Brain abnormality 67 55% 1.00 F 10 60% 57 54% 2 50%
 MRI performed 78 85% 0.05 Chi 15 67% 63 89% 1 100%
Vision and hearing impairments
 Vision impaired 82 83% 1.00 F 15 87% 67 82% 2 0%
 Myopia 60 78% 1.00 F 12 83% 48 77% 0 -
 Hypermetropia 53 26% 0.09 F 8 0% 45 31% 0 -
 Cataract 43 7% 1.00 F 7 0% 36 8% 1 0%
 Hearing loss 79 28% 1.00 F 15 27% 64 28% 2 0%
 Hearing loss, conductive 79 14% 1.00 F 15 13% 64 14% 2 0%
 Hearing loss, perceptive 79 8% 0.59 F 15 0% 64 9% 2 0%
 Eartubes 56 41% 1.00 F 11 36% 45 42% 2 0%
 Hearing aid 17 35% 1.00 F 3 33% 14 36% 0 -
Musculoskeletal anomalies
 Orthopedic anomalies (scoliosis+patella+pes pedes) 85 61% 0.16 Chi 16 44% 69 65% 2 50%
 Scoliosis 82 30% 1.00 F 15 27% 67 31% 2 50%
 Degree scoliosis 3 (37-75) - - 0 - 3 (37-75) 0 -
 Operation scoliosis needed 22 32% 0.52 F 3 0% 19 37% 1 0%
 Pes planus 46 67% 0.65 F 6 83% 40 65% 2 50%
 Patella luxation 45 27% 0.84 F 8 13% 37 30% 1 0%
 Recurrent 12 67% 1 100% 11 64%
 Pectus, excavatum 80 3% 1.00 F 15 0% 65 3% 1 0%
 Primary dentition, delayed 47 23% 0.66 F 9 11% 38 26% 2 0%
 Permanent dentition, delayed 47 40% 0.28 F 9 22% 38 45% 2 0%
 Widely spaced teeth 47 15% 1.00 F 9 11% 38 16% 2 0%
 Abnormal dentition 36 69% 1.00 F 4 75% 32 69% 2 50%
 Dental surgeon operation/treated by a dental surgeon 34 50% 0.38 F 5 20% 29 55% 0 -
 Joint laxity 46 50% 0.24 F 8 25% 38 55% 2 0%
 Early arthritis 33 6% 1.00 F 7 0% 26 8% 1 0%
 Clinodactyly 65 12% 0.63 F 12 17% 53 11% 2 0%
 Brachydactyly fifth finger 65 25% 1.00 F 12 25% 53 25% 2 0%
 Small nails 66 38% 1.00 Chi 13 46% 53 36% 2 0%
 Which nails, 5th finger, and/or toe 66 29% 0.17 Chi 13 46% 53 25% 2 0%
Intestinal
 Inguinal hernia 53 8% 0.54 F 9 11% 44 7% 1 0%
 Intestinal problems 73 42% 0.54 F 13 31% 60 45% 1 0%
 Constipation 73 27% 0.10 F 13 8% 60 32% 1 0%
 Gastroesophageal reflux 73 11% 0,63 F 13 15% 60 10% 1 0%
 Diarrhea 73 0% - - 13 0% 60 0% 1 0%
 Pyloric Stenosis 73 0% - - 13 0% 60 0% 1 0%
 Umbilical hernia 73 4% 0.08 F 13 15% 60 2% 1 0%
Cardiac & urogenital anomalies
 Cardiac anomalies 65 14% 1.00 F 12 8% 53 15% 1 0%
 ASD 65 6% 1.00 F 12 0% 53 8% 1 0%
 VSD 65 0% - - 12 0% 53 0% 1 0%
 Aortic valve abnormality 65 3% 0.34 F 12 8% 53 2% 1 0%
 Mitralis insufficiency 65 2% 1.00 F 12 0% 53 2% 1 0%
 Renal anomalies 42 43% 0.01 F 6 0% 36 50% 0 -
 Hydronephrotic kidney 42 10% 1.00 F 6 0% 36 11% 0 -
 Nephrolithiasis 42 21% 0.31 F 6 0% 36 25% 0 -
 Renal sonography, abnormal 43 42% 6 0% 37 49% 0 -
 Age identification of first renal stone (nr, min-max) 5 (7-59) - - 0 - 5 (7-59) 0 -
 Cryptorchidism 30 60% 0.66 F 6 50% 24 63% 1 0%
Endocrinological abnormalities
 Diabetes mellitus 54 11% 1.00 F 8 13% 46 11% 0 -
 Type 2 diabetes mellitus 54 11% 1.00 F 8 13% 46 11% 0 -
 Hypothyroidism 54 15% 1.00 F 8 13% 46 15% 0 -
 Growth hormone deficiency 54 2% 1.00 F 8 0% 46 2% 0 -
Other
 Anemia 54 6% 1.00 F 8 0% 46 7% 0 -
 Elevated cholesterol 54 7% 1.00 F 8 0% 46 9% 0 -
 Hypertension 35 17% 0.56 F 5 0% 30 20% 0 -
Behavioral abnormalities 80 85% 0.40 F 13 77% 67 87% 2 50%
 Hyperactivity 75 7% 0.59 F 13 0% 62 8% 2 0%
 High pain threshold 53 64% 0.26 F 9 44% 44 68% 1 0%
Psychiatric disorders
 ADHD 80 9% 1.00 F 13 8% 67 9% 2 50%
 Autistic traits 80 26% 0.50 F 13 15% 67 28% 2 0%
 Autism 80 31% 0.75 F 13 23% 67 33% 2 0%
 Age autism diagnosis (nr, min-max) 21 (0-25) 0.89 MW 3 (3-12) 18 (0-25) 0 -
 Auto-mutilation 80 19% 0.11 F 13 0% 67 22% 2 0%
Malignancies 73 1% 1.00 F 12 0% 61 2% 2 0%
Lifestyle
 Daycare 49 65% 0.15 F 7 57% 42 67% 0 -
 Regular 0 22% 43% 19%
 Special 0 43% 14% 48%
 Primary education 59 100% 0.15 F 8 100% 51 100% 0 -
 Regular 2% 13% 0%
 Special 69% 88% 67%
 Secondary education 45 73% 0.38 F 7 86% 38 71% 0 -
 Regular 0 67% 14% 5%
 Special 0 0% 71% 66%
 Living situation 57 0.22 F 8 0% 49 0% 0 -
 At home/with parents 67% 75% 65% 0 -
 Independently guided/assisted living 9% 13% 8% 0 -
 Residential group (>residents/caretaker) 19% 0% 22% 0 -
 Residential group (1 on 1 guidance) 5% 13% 4% 0 -
 Medication 65 74% 0.69 F 9 67% 56 75% 2 100%
 Anti-epileptics 65 23% 1.00 F 9 22% 56 23% 2 0%
 Anti-depressants 65 12% 0.31 F 9 22% 56 11% 2 50%
 Anti-psychotics 65 12% 0.59 F 9 0% 56 14% 2 0%
 Diuretics/Anti-hypertensives 65 12% 1.00 F 9 11% 56 13% 2 50%
 Amphetamines 65 5% 1.00 F 9 0% 56 5% 2 0%
 Anti-diabetics 65 8% 1.00 F 9 0% 56 9% 2 0%
 Hypo-/hyperthyroidism medication 65 8% 0.14 F 9 22% 56 5% 2 50%
 Laxatives 65 15% 0.33 F 9 0% 56 18% 2 0%
 PPI 65 11% 0.58 F 9 0% 56 13% 2 0%
 Other 65 43% 0.07 F 9 11% 56 48% 2 50%

A, ANOVA; ADHD, attention deficit hyperactivity disorder; ASD, Atrial Septal Defect; BMI, body mass index; Chi, Chi-square; EEG, electro encephalography; ENT, ear nose throat; F, Fisher's exact; KW, Kruskal-Wallis; LoF, loss of function variants; MW, Mann-Whitney U; OFC, occipital–frontal circumference; SDS, standard deviation score; T, T-test; VSD, ventricular septal defect.

+ the total number of a feature can differ from the sum of subcategories because in some cases it was possible to answer with more than 1 option or to report the existence of a feature without specifying.

a

Groups compared are patients with a pathogenic variant in exon 1 versus patients with an exon 2-20 variant or a deletion in ARID1B.

Frequencies reported henceforth concern the 85 non-mosaic patients.

Congenital anomalies

Frequently reported congenital anomalies are agenesis of the corpus callosum (27/58, 47%), cardiac anomalies (9/65, 14%), renal abnormalities (18/42, 43%), and cryptorchidism (18/30, 60%).

Growth

Birthweight below 2 SDS was observed in 11% (6/53) of patients (Figure 1D), and feeding difficulties were reported in 65% (53/81). For the majority, feeding issues started at birth (74%, 34/46) and were transient in 79% of cases (brief: 40%, 17/42; several years: 38%, 16/42), with 21% (9/42) experiencing ongoing difficulties.

Histograms of the SDS of height, weight, and occipital-frontal circumference (OFC) are shown in Figure 1E-G. The majority of patients have a height below 0 SDS (97%, 67/69); 56% (39/70) have a body mass index above 25 kg/m² or are reported to be overweight; OFC is distributed normally around 0 SDS.

Development

Ninety-three percent of patients have ID (Table 1, Figure 1H-I), with total IQ scores (n = 32) ranging from 20-80 (Figure 1I). Eight patients had borderline or normal intelligence (i.e. an estimated normal intelligence or an IQ score of 80 or higher). IQ values were available for only 3 patients with an estimated borderline or normal IQ score. One patient had a total IQ of 80 measured at the age of 14 years, another patient had a verbal IQ of 92 and a performance IQ of 70 at the age of 18 years, and the last patient had a verbal IQ of 83 and a performance IQ of 70 at an unknown age. Of the 8 patients with a borderline or normal IQ, 5 had behavioral anomalies: attention deficit hyperactivity disorder in 4 patients and autistic features in 2 patients. Self-mutilation was not reported in this group.

Hypotonia was observed in 77% (57/74). Figures 1J-L show developmental milestones. Motor and speech are delayed in most patients. While almost all patients eventually walk, approximately one-third of patients do not develop speech. Seventy-five percent of patients are toilet trained (Figure 1M, Supplemental Figure 3A). Fifty-five patients can read, and 33 patients can write. The age of puberty onset (n = 39) varied between 9 and 21 years (Supplemental Figure 3B).

Seizures occurred in 47% (38/81) of patients, with an additional 7% (6/81) with an abnormal electroencephalogram (EEG). The age of onset (n = 80) varied between 0 and 41 years (Figure 2A). Loss of skills was noted in 25% (16/64) of patients. No specific triggering event was reported. The age of onset was documented in 4 cases. This age ranged from 31 to 54 years (Figure 2B). Loss of motor skills, particularly in walking ability (with increased tripping and decreased balance) was the most common (7/16), followed by loss of speech (5/16). Some patients required the use of a wheelchair (5/62).

Figure 2.

Figure 2

Figure 2

Survival analysis of features developing later in life in adultARID1Bpatients. Kaplan-Meier plot for the age of (A) onset first seizure, n = 80; (B) loss of skill, n = 54; (C) diabetes mellitus, type 2, n = 53; (D) hypothyroidism, n = 51; (E) nephrolithiasis, n = 38; (F) first patella luxation, n = 43.

Vision and hearing

Most patients had impaired vision 83% (68/82), usually due to myopia (78%, 47/60). Myopia severity (n = 27) ranged from -1 to -25 (Supplemental Figure 3C), with 14 patients having a severity below -10. Hearing loss was present in 28% (22/79) of patients; with 6 patients needing a hearing aid. Both conductive and perceptive hearing impairment are reported, with conductive hearing impairment being slightly more prevalent (Supplemental Table 2).

Other features

Diabetes mellitus type 2 was reported in 11% (6/54) of patients (Figure 2C), hypothyroidism in 15% (8/54) of patients (Figure 2D), and nephrolithiasis in 21% (9/42) (Figure 2E). Recurrent infections were present in 39% (28/71) of patients. Anemia was identified in 6% (3/54), elevated cholesterol in 7% (4/54), and hypertension in 17% (6/35) of patients. Sleeping problems were reported in 36% (21/59).

Behavioral anomalies were reported by clinicians in 85% (68/80). Seventy-five percent (36/48) of parents report the behavior of their child as being problematic (“sometimes” 25/48 [52%] or “often” 11/48 [23%]). Auto-mutilation was reported in 19% (15/80) of patients.

Abnormal dentition was noted in 69% (25/36) of patients, and 50% (17/34) received treatment from a dental surgeon. Although the specific reasons for dental treatment were not explicitly asked, it was reported that several patients required the extraction of multiple teeth.

Approximately one-third (30%, 25/82) of patients developed scoliosis, with 32% of those (7/22) requiring surgery. Pes planovalgus was reported for 67% (31/46), and 60% (25/42) of patients used support insoles. Talocalaneonavicular dislocation was reported in the surveys’ open fields. Patella luxation (Figure 2F) was reported in 12/45 patients, and in 8 cases these were recurrent. Patella luxation occurred at ages between 4 and 49 years with a median of 27.9 years. At least 3 patients were reported to have undergone surgery for recurrent patella luxation, as noted in the free text, although no specific question regarding this surgery was included.

One patient in our cohort was reported to have a lung tumor, but based on radiological examination and consultation with a pulmonologist, it was determined to be likely benign. Therefore, a biopsy was deemed to be overly burdensome in this patient with severe ID.

Functioning

Table 2 and Supplemental Table 3 show to what extent the included adult patients with ARID1B-related disorder were able to perform activities of daily living based on our parental questionnaire. Many (45/51, 88%) patients were able to eat and drink independently, 73% (37/51) were able to dress without help, 30% (15/50) independently shop for groceries and 8% (4/49) could prepare dinner independently. Sixty-five percent of the patients (30/46) could stay home alone for 30 minutes, and 16% (7/45) could travel alone by public transport. Most patients lived at home with parents (38/57, 67%), 9% of patients (5/57) lived in assisted living, and the remaining patients lived in groups or had 1 on 1 guidance.

Table 2.

Activities of daily living: parent-reported outcomes for their adult children

18+ (LoF)
LoF patients exon 1
LoF patients >exon 1
n = 85 % P Valuea Test n = 16 % n = 69 %
Can your child make his/her own bed? 49 0.48 F 7 42
 With help 53% 57% 52%
 Independently 31% 43% 29%
Can your child clean up, and do light housework? 51 0.73 F 7 44
 With help 59% 71% 57%
 Independently 27% 29% 27%
Can your child do the groceries? 50 0.06 F 7 43
 With help 34% 43% 33%
 Independently 30% 57% 26%
Can your child replace a lamp, or tighten a screw? 50 0.00 F 7 43
 With help 32% 71% 26%
 Independently 14% 29% 12%
Can your child do the laundry? 49 0.03 F 7 42
 With help 47% 57% 45%
 Independently 16% 43% 12%
Can your child take a bath or shower? 51 0.05 F 7 44
 With help 51% 14% 57%
 Independently 41% 86% 34%
Can your child brush his/her teeth and comb his/her hair? 51 0.19 F 7 44
 With help 47% 29% 50%
 Independently 37% 71% 32%
Can your child dress and undress him/herself? 51 0.26 F 7 44
 With help 22% 0% 25%
 Independently 73% 100% 68%
Can your child go to the toilet? 51 0.74 F 7 44
 With help 16% 0% 18%
 Independently 78% 100% 75%
Can your child make sandwiches? 51 0.16 F 7 44
 With help 29% 14% 32%
 Independently 51% 86% 45%
Can your child fry an egg, make pancakes, or heat food in the microwave 50 0.25 F 7 43
 With help 48% 57% 47%
 Independently 16% 29% 14%
Can your child prepare dinner? 49 0.02 F 7 42
 With help 37% 57% 33%
 Independently 8% 29% 5%
Can your child set and clear the table? 50 0.41 F 7 43
 With help 30% 14% 33%
 Independently 58% 86% 53%
Can your child drink from a cup? 51 1.00 F 7 44
 With help 0% 0% 0%
 Independently 96% 100% 95%
Can your child eat from a plate? 51 1.00 F 7 44
 With help 8% 0% 9%
 Independently 90% 100% 89%
Can your child do the dishes or load the dishwasher? 47 0.64 F 7 40
 With help 30% 29% 30%
 Independently 55% 71% 53%
Can your child handle money, and pay in the store? 46 0.21 F 7 39
 With help 35% 43% 33%
 Independently 13% 29% 10%
Can your child stay home alone for 30 minutes? 46 0.39 F 7 39
 Yes 65% 86% 62%
Can your child travel alone by public transport? 45 0.30 F 7 38
 Yes 16% 29% 13%

F, Fisher's exact; LoF: loss of Function variants.

a

Groups compared are patients with a pathogenic variant in exon 1 versus patients with an exon 2-20 variant or a deletion in ARID1B.

Medication use

Medication is utilized by 74% (48/65) of patients in the cohort. Among the reported medications, anti-epileptic drugs (23%, 15/65) are the most frequently used, followed by laxatives (15%, 10/65), anti-depressants (12%, 8/65), and anti-psychotics (12%, 8/65) (Table 1). A combination of antidepressant or antipsychotic medication is used by 20% (13/65) of patients. Other medications include antihypertensive drugs (12%, 8/65), anti-diabetics (8%, 5/65), and medication for hypo/hyperthyroidism (8%, 5/65). Response to medication was assessed only for seizure medication. Frequently prescribed anti-convulsive medications were valproic acid (n = 5), lamotrigine (n = 3), carbamazepine (n = 3), and, levetiracetam (n = 3). Ninety percent of patients (18/20) responded well to anti-convulsive therapy.

Variants in exon 1 lead to a milder phenotype than deletions or variants in exon 2-20

All pathogenic ARID1B variants inherited from non-mosaic parents are located in exon 1 (Figure 1A). Among patients with exon 1 variants, 19% (3/16) exhibit borderline to no ID; in comparison, only 4% (3/69) of individuals in the exon 2-20 group are described as having borderline to no ID (P = .07). In addition, exon 1 patients tend to have less fine motor delay (P = .01), fewer feeding difficulties (P = .03) and no reported renal anomalies (P = .01) (Table 1, Supplemental Table S2, Supplemental Figure 4). On all activities of daily living mentioned in Table 2, a higher proportion of patients with the exon 1 variant score as ‘independent’, indicating that they have a higher level of self-sustainability. For example, 86% of patients with exon 1 variants can take a bath or shower independently compared to 34% in the exon 2-20 and whole gene deletion group (P = .05).

Facial features

Using the most recent facial photographs, patients with ARID1B-related disorders (n = 48) were distinguishable from age and sex-matched NDD controls (analysis 1: P < .01) (Supplemental Table 4, Supplemental Figure 5). This distinction held true when stratified by age groups (0-4, 5-10, 11-17, 18-25, and 25+ years) (analysis 2: P < .01). Notably, the age group 11-17 years displayed the lowest Brier score and the highest area under the curve (AUC). Using 14 facial photos of patients aged below 11 years and the same 14 patients aged above 25 years, the photos of these patients aged below 11 years were more significantly different from controls (analysis 3a: P < .01) compared to photos of these patients aged above 25 years (analysis 3b: P = .05). Facial photos of 8 patients with variants in exon 1 were not distinguishable from NDD controls (analysis 4a: P = .65), while the 43 photos of patients with variants outside exon 1 or whole gene deletions differed from NDD controls (analysis 4b: P < .01). Additionally, when comparing the 7 photos (one photo could not be age-matched) of patients with exon 1 variants to those with variants in other exons, no significant difference was observed (analysis 4c: P = .84).

Facial photos of patient 066, who had a mosaic ARID1B pathogenic variant, were analyzed at different ages (0.6, 4, 10, 18, and 40 years) and were found to cluster with photos of patients with non-mosaic pathogenic variants (Supplemental Table 5). When comparing each photo to the photos of patients and controls in the corresponding age group, those taken at ages 11 and 17 years exhibited the most consistent clustering patterns.

Discussion

We report the first adult-aged cohort of 87 patients with pathogenic ARID1B variants. We confirmed our previous hypothesis11 that patients with variants predicted to lead to haploinsufficiency in exon 1 tend to have a milder ID phenotype. In addition, we determined that (adult-aged) patients with ARID1B-related disorder have a risk of recurrent patella luxation, loss of skills, and auto-mutilation. Additionally, we confirmed our previous findings that patients with ARID1B-related disorder have a risk of seizures, myopia, nephrolithiasis, hypothyroidism, diabetes mellitus type 2, and scoliosis.

Genotype

All patients in our cohort have variants predicted to lead to haploinsufficiency. Some pathogenic missense variants have been reported in literature,8,21, 22, 23 but they are much less common than predicted loss-of-function variants. Further research is necessary to study these missense variants and determine if patients carrying such variants differ from those with predicted loss-of-function variants, which have been shown to lead to nonsense-mediated decay on several occasions.24, 25, 26 Further studies are needed to confirm that nonsense-mediated decay is happening with most predicted loss-of-function variants versus the formation of truncated proteins.

Most of the variants occurred de novo, but several variants were inherited. All variants inherited from nonmosaic parents were located in exon 1. In retrospect, these parents have several features fitting with ARID1B-related disorder, indicating a full penetrance of these variants.27

Genotype-phenotype

As shown in Figure 1B, patients with pathogenic variants in exon 1 of ARID1B tend to have milder ID. It is hypothesized that variants at the start of exon 1 may not be pathogenic.5,11 Based on our current data, we conclude that predicted loss-of-function variants in exon 1 are pathogenic, but tend to lead to a milder phenotype compared to variants located further on the transcript.

This phenomenon might be explained by a partial rescue because of an alternative start site.28 For example, in the GTEx portal29 there are several transcripts starting later than the exon 1 start site of NM_020732.3, and there are also several transcripts starting before exon 1 start site of NM_020732.3.

Phenotype

This study provides the first comprehensive assessment of the self-sustainability of adult-aged patients with pathogenic ARID1B variants. Parents of newly diagnosed individuals often inquire about the extent to which this patient group is toilet trained, able to read and/or write, has received education, and can perform activities of daily living, and those questions can now be answered.

Our study confirms the wide spectrum of individuals with ARID1B-related disorders. This spectrum includes individuals without ID who live independently, typically associated with very early exon 1 variants or mosaic variants. On the other end of the spectrum are individuals with severe ID requiring 24-hour care. Between these extremes, we found patients with varying levels of independence (Table 2).

We also confirmed that height in ARID1B patients is lower than that of the general population with an average SDS of -2.0. We used published growth charts to impute missing SDS. These growth charts are based on a predominantly White population. It could, therefore, be possible that in the 7 cases with a mixed or non-White ancestry SDS for height was overestimated. However, based on these growth charts, 3 of 7 patients had a height below -2 SDS, which is similar to the distribution of the group as a whole. Myopia (78%) and hypermetropia (26%) are more prevalent in our population, compared with the general population where myopia is present in 4.9% to 18.2% and hypermetropia in 2.2% to 14.3%.30 Age of puberty onset is at an average of 14.7 years, with several outliers starting at the age of 17 to 21 years. These numbers are based on both clinician and parent reports.

New features identified in this cohort are recurrent patella dislocation and loss of skill. Recurrent patella luxation can have several causes, including weakness of the thigh muscles, or excess pronation of the feet. Both factors can play a role in our population as many patients (77%) experience hypotonia, 67% have pes planovalgus and in 1 patient, a talocalaneonavicular dislocation has been reported. The loss of skills observed in 25% of patients is important to consider when caring for a patient with a pathogenic ARID1B variant. This number may be biased, as loss of skills may be the reason to refer an adult to a genetic center for diagnostic evaluation. Further investigation is required to assess whether timely interventions can, for example, improve functioning or aid in restoring motor function. In instances where the onset of loss of skills can be linked to a specific event, eye movement desensitization and reprocessing therapy may offer valuable support.

Interestingly, although feeding problems are frequent in childhood, we observe that over half of our adult cohort is overweight (body mass index > 25 kg/m², or as reported by a parent). People with intellectual disabilities are generally less physically active,31 and research has demonstrated the benefits of exercise in improving cardiorespiratory and muscular fitness.32 Given the correlation of obesity and type 2 diabetes (4/5 individuals with this disease had obesity in our cohort), on indication, diabetes should be tested. This also goes for other features that develop with age (Supplemental Tables 6-7), and therefore, we have formulated screening recommendations (Table 3). Furthermore, it is noteworthy that aside from laxatives, anti-epileptic drugs, anti-depressants, and anti-psychotics are the most prescribed medications in our patient group, reflecting the impact of behavior on daily living and patient management.

Table 3.

Recommendations surveillance guidelines ARID1B patients

Evaluation (Inquire/Perform physical examination) After diagnosis Age category
(para) medica
Children (0-18 years) Adults (18+) Frequency
Congenital abnormalities (heart, kidneys and cryptorchidism) Yes Upon indication Upon indication Treating physician
Feeding difficulties Yes Yes At every visit Pediatrician
Constipation Yes Yes Yes At every visit Treating physician
Growth and weight Yes Yes Yes At every visit, to avoid excessive weight gain Pediatrician, dietitian
Seizures Yes Yes Yes At every visit Treating physician
Endocrine/hormonal Upon indication Upon indication At every visitb Upon indication or every 3 years if there are risk factors (i.e. overweight) Treating physician
Vision Yes Yes Yes Every 2 years, the frequency can be adjusted if the patient is able to report on eyesight Ophthalmologist
Hearing Yes Yes Upon indication At every visit ask for signs of hearing loss and refer to an audiologist if suspected Treating physician
Nephrolithiasis Yes Yes Upon indication At every visit Treating physician/urologist
Scoliosis Yes Yes Upon indication Periodically, until length growth is complete Orthopedic surgeon/ physiatrist/ pediatrician
Patella luxation Yes Upon indication Upon indication Upon indication Orthopedic surgeon/ physiatrist/ pediatrician
Pedes (plano)valgi Yes Yes Upon indication Periodically Orthopedic surgeon/ physiatrist/ pediatrician
Dentition/dental health Yes Yes Yes Twice a year Dentist
Motor development and/or loss of skill Yes Yes Upon indication At every visit Pediatrician/ physiatrist/ physical therapist/ treating physician
Cognitive development If aged <16 Yes At every visit Pediatrician/ psychologist
Communication/language development and/or loss of skill Yes Yes Upon indication Screening at age 2 and 3 years, then on indication Pediatrician/ physiatrist/ speech therapist/ treating physician
Behavioral and social development/impairments Yes Yes Yes At every visit Treating physician
Sexual development When applicable Yes Yes When applicable Treating physician
Transition to adult care When applicable When applicable From the age of 16 years Physiatrist/ pediatrician
a

treating physician (eg, general practitioner, pediatrician).

b

especially, glucose and thyroid lab.

We also noted some differences with current frequency estimates, compared to our previous work. For example, in one publication5 75% of patients had developed speech by the age of 5 years. In our cohort, only 60% of patients have developed speech by the age of 5 years, although this estimate rises toward 75% at the age of 7 years (Figure 1L). This difference may be caused by random variation, but may also point to a more severely affected cohort because of either ascertainment bias (genetic testing is more often done in more severely affected adult-aged patients) or a reduced quality of care in this older cohort. Similarly, Figure 2A indicates that 60% will develop epilepsy whereas previously this estimate was 35%.5 This difference seems to be caused by a substantial proportion having their first seizure after the age of 20 years, which we previously missed because of reduced follow-up.

Somatic variants in ARID1B have been associated with several types of cancer.33 In the literature only occasional cases of ARID1B patients with cancer are reported.5,34 We did not identify an increased cancer risk in our cohort. Based on our cohort and literature, there is no indication that germline variants in ARID1B give an increased cancer risk at pediatric age. Although there is currently no evidence to suggest an elevated cancer risk in adult-aged patients, it is important to acknowledge that our study had a limited representation of patients over the age of 50 years, and further longitudinal research is needed to confirm this.

Pediatric versus adult cohort

Compared to the previously published predominantly pediatric cohort5 (Supplemental Figure 6), our adult cohort exhibits a notable shift in phenotype (Supplemental Table 6-7). One example is the previously mentioned shift from feeding difficulties in children to overweight in adults. Similarly, recurrent infections are significantly less prevalent in our adult cohort (39% compared to 57%,5 P = .03). In children with ARID1B-related disorder, the primary emphasis often revolves around development and the acquisition of new skills. However, as these patients transition into adulthood, the focus shifts towards the preservation of current skills or the prevention of loss of skills and maintenance of muscular and cardiorespiratory fitness. This divergence in focus underscores the evolving needs and priorities of individuals with this condition as they grow older.

Facial photograph analyses

Our study demonstrated that ARID1B patients are distinguishable from matched NDD controls based on facial features in infancy. However, in our earlier analysis, there was an indication these distinctive facial features may become less specific as individuals with ARID1B-related disorders age,11 whereas in the current analysis, all age groups clustered separately from matched NDD controls. When using fewer photographs, we did see less significant clustering results for photos of patients aged 25+ years (Supplemental Table 5), indicating the difference in results from our previous analysis may be explained by the then limited number of available photos.

Nonetheless, if facial analysis is implemented to assist with interpretation, we recommend using childhood photographs, especially since most available photos are still of patients aged below 18 years. This approach can provide a more reliable basis for accurate diagnosis and interpretation.

Limitations

Our study has several potential limitations that should be considered. One is that multiple clinicians contributed to data entry, which may have introduced variability and dataset inconsistencies. There is also a risk of overestimating the prevalence of certain features due to the unknown status regarding specific features in some patients as, in our experience, a clinician is more likely to tick the box “unknown” for a feature than “absent.” In addition, there may be ascertainment bias in our study towards more severe cases as genetic diagnostics may be performed more often on more severely affected adult patients. We tried to limit this by including as many adult-aged patients as we could find.

Conclusion

The ARID1B spectrum is broad, and as patients age, there is a significant shift in the medical aspects that need attention. Several features warrant extra attention in adult patients, and screening and treatment of these features may prevent progression. Therefore, we have updated our screening recommendations5,35 for all age groups to promote timely intervention in an attempt to potentially improve health outcomes (Table 3).

Data Availability

De-identified patient data will be made available on request to the corresponding author.

Conflict of Interest

Jill A. Rosenfeld: The Department of Molecular and Human Genetics at Baylor College of Medicine receives revenue from clinical genetic testing completed at Baylor Genetics Laboratories. Evan E. Eichler is a scientific advisory board (SAB) member of Variant Bio, Inc. All other authors declare no conflicts of interest.

Acknowledgments

We would like to thank Johan den Dunnen for his assistance in adding patient data to the Leiden Open Variant Database (LOVD).

Funding

This work was supported, in part, by US National Institutes of Health (NIH) grant MH101221 to E.E.E. (E.E.E. is an investigator of the Howard Hughes Medical Institute), by “the Fundamental Research Funds for the Central Universities” starting fund (BMU2022RCZX038) to T.W., by the Ministero dell’Istruzione, dell’Università e della Ricerca via PNRR-MUR-M4C2 PE0000006 Research Program “MNESYS”—A multiscale integrated approach to the study of the nervous system in health and disease (to Pa.S.). IRCCS ‘G. Gaslini’ is a member of ERN-Epicare, and by the Dutch Organisation for Health Research and Development: ZON-MW grants 912-12-109 (to B.B.A.d.V.) and Donders Junior researcher grant 2019 (B.B.A.d.V.).

Sequencing and analysis of individual 101 was provided by the Broad Institute Center for Mendelian Genomics funded by the National Human Genome Research Institute grants UM1HG008900 (with additional support from the National Eye Institute, and the National Heart, Lung and Blood Institute) and R01HG009141.

Author Contributions

Conceptualization: P.J.S., G.W.E.S.; Data curation: P.J.S., M.G.; Formal Analysis: P.J.S., M.G., A.J.M.D., G.W.E.S.; Funding acquisition: P.J.S., P.S., B.B.A.V., T.W., G.W.E.S.; Investigation: P.J.S., M.G.; Methodology: P.J.S., M.G., G.W.E.S.; Project administration: P.J.S., M.G.; Resources: P.J.S., M.G., A.J.M.D., P.S., A.R., C.M., A.F., N.D., G.V., M.W., S.A.S., M.A., F.S.A., I.A., H.S.A., B.A., I.B., I.B., M.B., B.W.B., T.B., H.B., M.L.C., P.C., N.C., E.C., C.D., R.K.E., E.E.E., L.F., N.F., C.G., A.M.G., M.O.H., S.H., D.H., S.E.H., S.M.J.H., A.K., J.S.K., E.C.K., K.K., M.K., F.L., G.S.L., L.L., P.L.M., F.M., I.M., G.M., J.M.M., S.M., G.N., M.O., S.O., J.R.O., K.P., R.P., M.P., A.M.P., B.P., A.P., H.L.R. An.R., A.R., J.A.R., M.R., E.S., P.S., M.S., G.S., F.M.S., G.S., K.E.S., E.U., H.V., B.B.A.V., D.W., T.W., P.Z., K.R.H., F.G.R., D.S., T.R., G.W.E.S.; Software: P.J.S., M.G., A.J.M.D.; Supervision: P.J.S., G.W.E.S.; Validation: P.J.S., A.J.M.D.; Visualization: P.J.S., M.G.; Writing-original draft: P.J.S.; Writing-review & editing: P.J.S., M.G., A.J.M.D., P.S., A.R., C.M., A.F., N.D., G.V., M.W., S.A.S., M.A., F.S.A., I.A., H.S.A., B.A., I.B., I.B., M.B., B.W.B., T.B., H.B., M.L.C., P.C., N.C., E.C., C.D., R.K.E., E.E.E., L.F., N.F., C.G., A.M.G., M.O.H., S.H., D.H., S.E.H., S.M.J.H., A.K., J.S.K., E.C.K., K.K., M.K., F.L., G.S.L., L.L., P.L.M., F.M., I.M., G.M., J.M.M., S.M., G.N., M.O., S.O., J.R.O., K.P., R.P., M.P., A.M.P., B.P., A.P., H.L.R., An.R., A.R., J.A.R., M.R., E.S., P.S., M.S., G.S., F.M.S., G.S., K.E.S., E.U., H.V., B.B.A.V., D.W., T.W., P.Z., K.R.H., F.G.R., D.S., T.R., G.W.E.S.

Ethics Declaration

The research included in this report was conducted in a manner consistent with the principles of research ethics. The Leiden University Medical Center's Institutional Review Board granted approval waivers for using de-identified and aggregated data (no: G18.098) without requiring specific informed consent. Patient data was de-identified using assigned numbers, and, when feasible, informed consent was obtained through the referring clinician. Written consent was obtained and archived for all included patient photos.

Footnotes

The Article Publishing Charge (APC) for this article was paid by Gijs W.E. Santen under an agreement between the LUMC and Elsevier.

Additional Information

The online version of this article (https://doi.org/10.1016/j.gimo.2024.101873) contains supplementary material, which is available to authorized users.

Supplementary Material

Supplementary Tables and Figurs

The supplementary material consists of 7 tables, 6 figures and 1 supplementary excel file that support the results reported in this article. All tables, figures and the excel are mentioned in the text. This supplementary material includes, but is not limited to, variable labels of the online questionnaire questions, genetic variants, facial photographs, extensive overviews of the clinical characteristics of the patients reported in this paper, PhenoScore analyses, and a comparison of our patient group with a previously published cohort of ARID1B patients.

mmc1.pdf (5.3MB, pdf)
Supplementary Material
mmc2.xlsx (47.8KB, xlsx)

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Tables and Figurs

The supplementary material consists of 7 tables, 6 figures and 1 supplementary excel file that support the results reported in this article. All tables, figures and the excel are mentioned in the text. This supplementary material includes, but is not limited to, variable labels of the online questionnaire questions, genetic variants, facial photographs, extensive overviews of the clinical characteristics of the patients reported in this paper, PhenoScore analyses, and a comparison of our patient group with a previously published cohort of ARID1B patients.

mmc1.pdf (5.3MB, pdf)
Supplementary Material
mmc2.xlsx (47.8KB, xlsx)

Data Availability Statement

De-identified patient data will be made available on request to the corresponding author.


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