Literature DB >> 31406558

Impact of on-site clinical genetics consultations on diagnostic rate in children and young adults with autism spectrum disorder.

Arnold Munnich1, Caroline Demily2, Lisa Frugère3, Charlyne Duwime3, Valérie Malan4, Giulia Barcia4, Céline Vidal5, Emeline Throo5, Claude Besmond6, Laurence Hubert6, Gilles Roland-Manuel7, Jean-Pierre Malen7, Mélanie Ferreri7, Sylvain Hanein6, Jean-Christophe Thalabard8, Nathalie Boddaert9, Moïse Assouline7.   

Abstract

Background: Neurogenetics investigations and diagnostic yield in patients with autism spectrum disorder (ASD) have significantly improved over the last few years. Yet, many patients still fail to be systematically investigated.
Methods: To improve access to services, an ambulatory team has been established since 1998, delivering on-site clinical genetics consultations and gradually upgrading services to 502 children and young adults with ASD in their standard environment across 26 day-care hospitals and specialized institutions within the Greater Paris region. The evaluation included a clinical genetics consultation, screening for fragile X syndrome, metabolic workup, chromosomal microarray analysis, and, in a proportion of patients, next-generation sequencing of genes reported in ASD and other neurodevelopmental disorders.
Results: Fragile X syndrome and pathogenic copy number variants (CNVs) accounted for the disease in 10% of cases, including 4/312 (1.3%) with fragile X syndrome and 34/388 (8.8%) with pathogenic CNVs (19 de novo and 4 inherited). Importantly, adding high-throughput resequencing of reported intellectual disability/ASD genes to the screening procedure had a major impact on diagnostic yield in the 141 patients examined most recently. Pathogenic or likely pathogenic sequence variants in 27 disease genes were identified in 33/141 patients (23.4%; 23 were de novo and 10 inherited, including five X-linked and five recessive compound heterozygous variants). Diagnosed cases presented atypical and/or syndromic ASD with moderate to severe intellectual disability. The diagnostic yield of fragile X syndrome and array CGH testing combined with next-generation sequencing was significantly higher than fragile X syndrome and array CGH alone (p value 0.009). No inborn errors of metabolism were detected with the metabolic screening.
Conclusion: Based on the diagnostic rate observed in this cohort, we suggest that a stepwise procedure be considered, first screening pathogenic CNVs and a limited number of disease genes in a much larger number of patients, especially those with syndromic ASD and intellectual disability.

Entities:  

Keywords:  Autism spectrum disorder; Copy number variant; Fragile X syndrome; Gene panel; Genetic counseling; Genetic diagnosis; Microarray; Next-generation sequencing; Sequence variant

Mesh:

Year:  2019        PMID: 31406558      PMCID: PMC6686526          DOI: 10.1186/s13229-019-0284-2

Source DB:  PubMed          Journal:  Mol Autism            Impact factor:   7.509


Background

Autism spectrum disorder (ASD) is a major health care issue, affecting 1/200 live births, with a male to female ratio of 4/1 [1, 2]. In the last few years, important advances in deciphering the neurogenetic bases of ASD have been achieved [1, 2]. However, many patients still fail to be offered systematic investigations. In order to improve patients’ access to services, disseminate knowledge, and counteract the loss of opportunity to diagnose a genetic condition, an ambulatory team was established and has visited day-care hospitals across the Greater Paris region since 1998. The team offered comprehensive clinical genetics consultations and gradually improved genetics services to ASD patients in their standard environment. Here, we show that high-throughput resequencing of reported disease genes had a major impact on diagnostic yield. As cost and access to genomic facilities are common issues, we suggest that a stepwise procedure be considered, first screening a limited number of disease genes in a much larger number of individuals, especially those with syndromic ASD and intellectual disability. Moreover, owing to constraints imposed by the special needs of those patients, we suggest that this flexible method of on-site genetics services be considered, to implement improved standard of care, navigate referrals, and counteract the loss of opportunity to diagnose a genetic condition in patients with ASD and their relatives.

Patients and methods

The ambulatory team is based in the medical genetics clinic of the Necker-Enfants Malades University hospital, in Paris. Initially, it included one clinical geneticist (0.2 full-time equivalent, FTE), one case manager (0.5 FTE), and one clinical psychologist (0.5 FTE). The team has grown over time and now includes six members: two clinical geneticists (1.4 FTE), two FTE case managers, one FTE genetic counselor, and one FTE neuropsychologist. The institutions that were visited include 26 day-care hospitals and special schooling medical institutions, under the authority of the Greater Paris Regional Health Agency. Initiated in 1998, the program is still ongoing and will continue to serve the community with a multi-annual budget of the Greater Paris Regional Health Agency. All institutions were visited upon request. They were founded in the mid-1960s at the initiative of parents and family support groups eager to prevent the psychiatric hospitalization of children. Parents’ consent, and when possible, patient’s consent, was obtained prior to the consultation in accordance with French legislation. All patients diagnosed with ASD based on Diagnostic and Statistical Manual of Mental Disorders criteria [3] were offered a consultation. Standardized clinical assessment supported multidimensional symptoms (Childhood Autism Rating Scale, Autism Diagnostic Observation Schedule, and/or Autism Diagnostic Interview-Revised). Global cognitive testing indicated cognitive dysfunctions (especially attention and/or visual-spatial impairments) and various degrees of intellectual disability in all patients. Local child psychiatrists attended the medical genetics consultation. For the sake of privacy, a confidential consultation with the clinical geneticist was offered to the family and seldom accepted. Consultations reviewed personal and family history, pedigree, and photo albums and included a complete clinical examination of the child in the presence of a local team member. The procedure addressed the following questions: (i) is ASD isolated or part of a recognizable syndrome? (ii) is the case sporadic or familial? (iii) with or without intellectual disability? and (iv) are there risk factors? (paternal age, in vitro fertilization, prematurity, drug intake during pregnancy). Owing to rapid changes in the field, a minority of medical genetics records were considered up-to-date. None of these patients has been reported previously. Ambulatory workup included (i) screening for FMR1 expansion, (ii) metabolic workup (amino acid and organic acid chromatography, succinyl purines, sialo transferrin, creatine synthesis intermediates), and (iii) array comparative genomic hybridization (CGH), replacing high-resolution karyotype from 2005 onwards [4]. Agilent 60 K microarrays (Agilent Technologies, Santa Clara, CA) were used for genomic copy number analyses on blood samples. Chromosomal rearrangements were confirmed by fluorescence in situ hybridization (FISH). The pathogenicity of copy number variants (CNVs) was assessed according to the guidelines of the American College of Medical Genetics [5]. When this first series of tests were negative, they were followed by a brain magnetic resonance imaging (MRI) in 347/502 patients, with nuclear magnetic resonance (NMR) spectroscopy and a computerized tomography (CT) scan upon short sedation, and electroencephalography (EEG). From 2014, high-throughput next-generation sequencing (NGS) of intellectual disability/ASD genes was performed in a proportion of families (both parents and the child) [6]. The NGS panel used in this study was an in-house, non-commercial service panel designed at the Imagine Institute in Paris, and was based on a sequence capture method (Agilent Technologies). It screened a total of 439 genes, known to be implicated in intellectual disability/ASD or candidate genes reported at least twice in two distinct studies (Additional file 1: Table S1). Genomic DNA was extracted from peripheral blood using standard procedures. Agilent Sure Select libraries were prepared from 2 μg of genomic DNA sheared with a Covaris S2 Ultrasonicator. Regions of interest were captured with the corresponding 120-bp cRNA baits using the SureSelectXT Target Enrichment Reagent (Agilent) and the Ovation® Target Capture Module (NuGen). The targeted region was sequenced on an Illumina HiSeq2500 (Illumina Inc., San Diego, CA) generating 2 × 130 paired-end reads. Paired-end sequence datasets from Illumina HiSeq2500 runs were treated following three main steps: alignment against human genome release hg19 (using Bwa), calling of single nucleotide variants and small indels (using SAMtools, GATK, and Varscan), and variant annotation based on Ensembl human database (GRCh37 release). Data was integrated in pipelines enabling a CNV analysis based on a double normalization of depth coverage. A minority of patients benefited from different gene panels or whole exome sequencing as part of research projects. Sequence variants were classified according to the American College of Medical Genetics and Genomics (ACMG) guidelines [7]. Variants were confirmed by Sanger sequencing and segregation analysis was performed in the families for which parental DNA was available. Paternity and maternity were confirmed in all patients carrying a de novo variant. Results and conclusions were communicated to patients and families during subsequent on-site multi-disciplinary consultations. Variants of uncertain significance (VOUS) were not reported to the parents [8-11]. Statistical analyses were performed using the non-parametric Fisher’s exact test (null hypothesis: no percentage difference between the pre-NGS versus NGS tested patients; two-sided test) [12-14].

Results

A total of 502 patients from 26 institutions were included in the program. There were 351 males and 151 females; most patients were unrelated, except for nine families with two affected siblings, and one family with three affected siblings. The distribution of patients by age categories was as follows: < 10 years, 34; 11–20 years, 194; 21–30 years, 211; > 30 years, 63. The majority of parents were positive about the on-site medical genetics consultations. Less than 1% of families declined the offer to participate, arguing that no immediate benefit would follow. Meeting with families and drawing the pedigree occasionally recognized X-linked or autosomal recessive forms of ASD. Frequently, significant and previously unreported information was first disclosed to the clinical geneticist (family history, affected relatives, serious medical events during pregnancy, in vitro fertilization, etc.). Brain MRI detected overt, yet nonspecific, isolated, or combined anomalies in 146/347 (42%) patients [15], including (i) punctuated white matter hyper intensities, (ii) impaired gray/white matter differentiation of temporal horns, and (iii) dilation of the Virchow-Robin spaces (Table 1).
Table 1

Brain MRI anomalies in 146 patients with ASD in day-care hospitals of the Greater Paris region

Brain MRI anomaliesNumber of patients
Temporal pole anomalies on T2-weighted images (subcortical hyper-intensity52, hypoplasia2, 37, dedifferentiation)36 (24.7%)
White matter hyper-intensities on T2-weighted images (hemispheres60, periventricular, insula, pallidum, cerebellum; focal, punctuate, heterotopia)26 (17.8%)
Cerebellar anomalies (vermian or hemispheric atrophy37, 54, 67, hypoplasia20, signal anomalies)25 (17.1%)
Abnormal ventricles (dysmorphism45, dilatation18, asymmetry)23 (15.8%)
Corpus callosum anomalies (short, thin18, thick26, 37, dysmorphic)19 (13.0%)
Cysts47, tumors (teratoms, gangliomas, germinomas)14 (9.6%)
Dilation of Virchow-Robin spaces4712 (8.2%)
Abnormal pituitary gland14, 528 (5.5%)
Abnormal gyration (heterotopia, polymicrogyria, pachygyria)6 (4.1%)

The numbers in superscript refer to the patients listed in Tables 2 and 3

Brain MRI anomalies in 146 patients with ASD in day-care hospitals of the Greater Paris region The numbers in superscript refer to the patients listed in Tables 2 and 3
Table 2

Pathogenic CNVs identified in patients with ASD in day-care hospitals of the Greater Paris region

PatientRegionCoordinates (GRCh37/hg19)Del/DupPhenotype (MIM number)SizeInheritanceSex
11p21.3(98134258x2,98186019_99530585x1,99612872x2)Deletion1.4 MbNAM
21p36.33p36.32(0852803_2723463)x1 dnDeletionChromosome 1p36 deletion syndrome (# 607872)1.9 MbDe novoF
32p16.3(50597116_50837494)x1DeletionChromosome 2p16.3 deletion syndrome (NRXN1 gene) (# 614332)240 kbNAM
42p16.3(508925906x2,50937444_51446873x1,51510902x2)patDeletionChromosome 2p16.3 deletion syndrome (NRXN1 gene) (# 614332)250 kbInherited from the fatherM
54q31.1(139993209x2,140046328_140323064x1,14037951x2)dnDeletion 276 kbDe novoF
65q13.3q14.1(76116577_78831700)x1 dnDeletion2.7 MbDe novoM
76q22.1q22.31(117955439x2,117998538_123380719x1,123539625x2)dnDeletion5.4 MbDe novoF
87q31.1(113824704_114008914)x1DeletionSpeech-language disorder-1 (FOXP2 gene) (# 602081)184 kbNAM
98q12.3(63847208_65755563)x1 dnDeletion1.9 MbDe novoM
1010q11.22q11.23(48533668x2,49390457_52415071x1,52566354x2)dnDeletion3 MbDe novoM
1116p11.2(28543104_29133735)x1 patDeletionChromosome 16p11.2 deletion syndrome (SH2B1 gene) (# 613444)592 kbInherited from the fatherM
1216p13.3(3776852x2,3831263_3831322x1,3855608x2)Intragenic deletion in CREBBPRubinstein-Taybi deletion syndrome (# 610543) NAF
1317q21.31(43717703_44210822)x1DeletionKoolen-De Vries syndrome (# 610443)500 kbDe novoF
1418q21.33q23(60610554_77945325)x1DeletionChromosome 18q deletion syndrome (# 601808)17.3 MbNAM
1519q12q13.3Karyotype and FISH analysis (probe YAC 954B2 [provided by Human Polymorphism study Center], location 19q12; locus AFM150xa9)DeletionDe novoM
1620q11.23q12(37467951_39961785)x1Deletion2.5 MbNAF
1722q11.2Karyotype and FISH analysis (probes RP11-316 L10 and RP11-1107 K6, location 22q11.2, locus TBX1)DeletionVelocardiofacial syndrome (# 192430)NAM
1822q13.3Karyotype and FISH analysis (cosmid probe c106G1220P, location 22q13.3, locus SHANK3)DeletionPhelan-McDermid syndrome (# 606232)De novoF
1922q13.33(51121514x2,51122452_51178264x1,51181762x2)dnDeletionPhelan-McDermid syndrome (# 606232)55.8–60.2 kbDe novoM
20Xp11.4(41510822_41912496)x1 dnDeletionMental retardation and microcephaly with pontine and cerebellar hypoplasia (CASK gene) (# 300749)405 kbDe novoF
211q21.1q21.2(145747269x2,146324068_149079826x3,149154996x2)dnDuplicationChromosome 1q21.1 duplication syndrome (# 612475)2.7 MbDe novoM
221q31Karyotype and FISH analysis (probes RP11-440G22 and RP11-142 L4, location 1q31.2)DuplicationNAF
231q32.2(207780569_208295581)x3Duplication515 kbNAM
24

4p15.3p16.3

4q34.1q35.2

Recombinant chromosome 4 from a pericentric inversion

Duplication

Deletion

14 Mb

15 Mb

De novo

De novo

M
255p15.33p14.3(658561_19955760x3, 20049711x2)dnDuplication19.3 MbDe novoF
268p12p11.21(31396993x2,31488003_43056153x3,43110494x2)dnDuplication11.6 MbDe novoM
278q24.13q23Karyotype and FISH analysis (probe RP11-762A3, location 8q23.3, locus TRPS1 and probe RP11-89P19, location 8q24.1, locus EXT1)DuplicationDe novoM
2814q31.3qter(88212824_107258824)x3[0.2]dnDuplicationMosaic chromosome 14q duplication19 MbDe novoM
2915q11q13Karyotype and FISH analysis (probe cos368 H, location 15q11.2)DuplicationChromosome 15q11q13 duplication syndrome (# 608636)De novoM
3016p13.12p12.3(14780195x2,15048751_16276115x3,16899616x2)matDuplication1.2 MbInherited from the motherM
3118p11.32p11.31(198111_3512486)x3Duplication3.3 MbDe novoM
3222q11.23(23668074x2,23739437_24988455x3,25119044x2)matDuplication1.2 MbInherited from the motherM
3322q13.33(51112766_51137924)X3Partial duplication of SHANK3Exons 1 to 12NA (deceased father)F
34Xp11Karyotype 45,X [16]/46,X,idic(X)(p11) [9]Mosaic isodicentric X chromosomeNAF

F female, FISH fluorescence in situ hybridization, M male, NA not available (adopted child, parent deceased or unavailable)

Table 3

Deleterious sequence variants identified in patients with ASD in day-care hospitals of the Greater Paris region

PatientMethodGeneReference sequencecDNA and protein changesZygosityMode of inheritanceSexACMG classificationaEvidencePhenotype (MIM number)
35ASD/ID panel ADNP NM_015339c.2499del, p.Val834Serfs*80HeterozygousDe novoMPathogenic (Ia)PVS1, PS2, PM2Helsmoortel van der Aa syndrome (615873)
36ASD/ID panel ADNP NM_015339c.517C>T, p.Arg173*HeterozygousDe novoMPathogenic (Ia)PVS1, PS2, PM2Helsmoortel van der Aa syndrome (615873)
37ASD/ID panel ANKRD11 NM_013275c.3542_3543ins23, p.Arg1182Alafs*144HeterozygousDe novoMPathogenic (Ia)PVS1, PS2, PM2KBG syndrome (148050)
38ASD/ID panel ARID1B NM_020732.3c.4110G>A, p.His1339Ilefs*77 (b)HeterozygousDe novoMPathogenic (Ia)PVS1, PS2, PS1, PM2Coffin-Siris syndrome 1 (135900)
39WES ATRX NM_000489.3c.6740A>C, p.His2247ProHemizygousInherited from heterozygous motherMLikely pathogenic (II)PS1, PM2, PP2, PP3, PP4Mental retardation-hypotonic facies syndrome, X-linked (309580)
40WES CACNA1E NM_000721.3c.4688A>G, p.Lys1563ArgHeterozygousDe novoMLikely pathogenic (II)PS2, PM2, PP2, PP3Epileptic encephalopathy, early infantile, 69 (618285)
41WES CHD2 NM_001271.3c.2352+1G>A, p.Lys730Asnfs*4 Skip of exon 18HeterozygousDe novoMPathogenic (Ia)PVS1, PS2, PM2Epileptic encephalopathy, childhood-onset (615369)
42WES COG4 NM_015386.2c.15G>A, p.Met5IleHomozygousInherited from heterozygous parentsMLikely pathogenic (V)PM2, PM3, PP2, PP3, PP4Congenital disorder of glycosylation, type IIj (613489)
43WES FOXP1 NM_032682.5c.1541G>A, p.Arg514HisHeterozygousDe novoFLikely pathogenic (II)PS2, PM2, PP2, PP3Mental retardation with language impairment and with or without autistic features (613670)
44ASD/ID panel FOXP1 NM_032682.5c.1541G>A, p.Arg514HisHeterozygousDe novoFLikely pathogenic (II)PS2, PM2, PP2, PP3Mental retardation with language impairment and with or without autistic features (613670)
45WES GNAO1 NM_020988.2c.736G>A, p.Glu246LysHeterozygousDe novoFPathogenic (II)PS2, PS1, PM2, PP2, PP3, PP4Epileptic encephalopathy, early infantile 17 (615473)
46cASD/ID panel GRIA3 NM_000828c.504del, p.Glu168Aspfs*21HemizygousInherited from mother with somatic mosaicismMPathogenic (Ib)PVS1, PM2, PP1-MMental retardation, X-linked 94 (300699)
47cASD/ID panel GRIA3 NM_000828c.504del, p.Glu168Aspfs*21HemizygousInherited from mother with somatic mosaicismMPathogenic (Ib)PVS1, PM2, PP1-MMental retardation, X-linked 94 (300699)
48ASD/ID panel GRIA3 NM_000828c.1990C>G, p.Pro664AlaHemizygousInherited from heterozygous motherMLikely pathogenic (II)PS1, PM2, PP2, PP3, PP4Mental retardation, X-linked 94 (300699)
49ASD/ID panel GRIN2B NM_000834.4c.2087G>A, p.Arg696HisHeterozygousDe novoFPathogenic (II)PS2, PS1, PM2, PP2, PP3, PP4Mental retardation, autosomal dominant 6 (613970)
50ASD/ID panel GRIN2B NM_000834.4c.2084T>C, p.Ile695ThrHeterozygousDe novoMPathogenic (II)PS2, PS1, PM2, PP2, PP3, PP4Mental retardation, autosomal dominant 6 (613970)
51ASD/ID panel HUWE1 NM_031407.6c.1736A>C, p.Asn579ThrHemizygousInherited from heterozygous motherMLikely pathogenic (II)PS1, PM2, PP2, PP3, PP4Mental retardation, X-linked syndromic (300706)
52Epilepsy panel IQSEC2 NM_001111125.2c.2272C>T, p.Arg758*Heterozygousde novoFPathogenic (Ia)PVS1, PS2, PM2Mental retardation, X-linked 78 (309530)
53WES KCNB1 NM_004975.2c.128A>G, p.Glu43GlyHeterozygousDe novoMLikely pathogenic (II)PS2, PM2, PP3, PP2Epileptic encephalopathy, early infantile 26 (616056)
54ASD/ID panel KDM6A NM_021140.3c.2944G>T, p.Gly982*HeterozygousDe novoMPathogenic (Ia)PVS1, PS2, PM2Kabuki syndrome 2 (300867)
55WES LINS1 NM_001040616.2c.1921del, p.Glu641Serfs*4HomozygousInherited from heterozygous parentsMLikely pathogenic (V)PM2, PM3, PP2, PP3, PP4Mental retardation, autosomal recessive 27 (614340)
56ASD/ID panel MED13L NM_015335.4c.1708_1709del, p.Ser570Phefs*27HeterozygousDe novoFPathogenic (Ia)PVS1, PS2, PM2Mental retardation and distinctive facial features with or without cardiac defects (616789)
57ASD/ID panel MYT1L NM_015025.3c.1579G>C, p.Gly527ArgHeterozygousDe novoFPathogenic (II)PS2, PS1, PM2, PP2, PP3, PP4Mental retardation, autosomal dominant 39 (616521)
58ASD/ID panel NAA10 NM_003491.3c.236G>A, p.Arg79HisHeterozygousDe novoMLikely pathogenic (II)PS2, PM2, PP2, PP3Ogden syndrome (300855)
59WES PHF6 NM_032458.2c.385C>T, p.Arg129*HeterozygousDe novoFPathogenic (Ia)PVS1, PS2, PM2Borjeson-Forssman-Lehmann syndrome (301900)
60WES, Epilepsy panel RORB NM_006914.3c.640C>T, p.Arg214*HeterozygousDe novoFPathogenic (Ia)PVS1, PS2, PM2Epilepsy, idiopathic generalized, susceptibility to, 15 (618357)
61ASD/ID panel SHANK3 NM_033517.1c.5021G>A, p.Gly1674AspHeterozygousInherited from the affected motherMLikely pathogenic (II)PP1-S, PM2, PP2, PP3, PP4Phelan-McDermid syndrome (606232)
62ASD/ID panel SHANK3 NM_033517.1c.3679dup, p.(Ala1227Glyfs*69)HeterozygousDe novoMPathogenic (Ia)PVS1, PS2, PM2Phelan-McDermid syndrome (606232)
63ASD/ID panel SLC6A1 NM_003042c.752T>C, p.Leu251ProHeterozygousDe novoFLikely pathogenic (II)PS2, PM2, PP3, PP2Myoclonic-atonic epilepsy (616421)
64Epilepsy panel STXBP1 NM_003165.3c.87+1G>T, p.?HeterozygousDe novoMPathogenic (Ia)PVS1, PS2, PM2Epileptic encephalopathy, early infantile, 4 (612164)
65ASD/ID panel SZT2 NM_015284.3c.1261+1G>A, p.? c.6113A>G, p.Tyr2038CysCompound heterozygousInherited from heterozygous parentsFLikely pathogenic (V)PVS1, PM2, PM3, PP2, PP3, PP4Epileptic encephalopathy, early infantile 18 (615476)
66ASD/ID panel TLK2 NM_006852.3c.1015C>T, p.Arg339TrpHeterozygousDe novoMPathogenic (II)PS2, PS1, PM2, PP2, PP3, PP4Mental retardation, autosomal dominant 57 (618050)
67WES TUSC3 NM_006765.3c.787_788insC, p.Asn263Thrfs*homozygousInherited from heterozygous parentsMPathogenic (Ib)PVS1, PM2, PM3, PP2Mental retardation, autosomal recessive 7 (611093)

ASD autism spectrum disorder, F female, ID intellectual disability, M male, WES whole exome sequencing

aVariants were assessed for pathogenicity according to the American College of Medical Genetics and Genomics (ACMG) criteria [7]

bIn patient 38, the c.4110G>A variant in ARID1B is predicted to result in a synonymous substitution (p.Pro1370=) in the last base pair of exon 17. Further studies indicated that this variant affects the splice donor site and induces skipping of exon 17, causing a frameshift and premature termination (p.His1339Ilefs*77) [16]

cPatients 46 and 47 are siblings

On-site visits allowed the review of laboratory investigations including screening for fragile X syndrome, metabolic workup, and cytogenetic analyses. No screening for fragile X syndrome was available in 312/502 patients. The previously untested patients were screened and 1.3% (4/312) were found to be positive for fragile X syndrome. Systematic metabolic workup made a marginal contribution, especially as neonatal screening for phenylketonuria, and hypothyroidism is widespread in France. Systematic array CGH replaced high-resolution karyotype from 2005 onwards and was performed in 388/502 patients. Pathogenic CNVs were found in 8.8% (34/388) of cases, including 19 de novo, 4 inherited, and 11 of unknown inheritance (adopted child, parent deceased, or unavailable) (Table 2). Most diagnosed patients presented atypical and/or syndromic ASD with moderate to severe intellectual disability. Pathogenic CNVs identified in patients with ASD in day-care hospitals of the Greater Paris region 4p15.3p16.3 4q34.1q35.2 Duplication Deletion 14 Mb 15 Mb De novo De novo F female, FISH fluorescence in situ hybridization, M male, NA not available (adopted child, parent deceased or unavailable) Of our 502 patients, 193 were seen prior to and 309 after inception of NGS in 2014. Among the 309 patients seen from 2014 onwards, a pathogenic CNV was found in 18/309. Owing to funding restriction, only a fraction of patients without pathogenic CNVs (141/291) had NGS. NGS consisted in either panel resequencing of 439 known intellectual disability/ASD genes or candidate genes (Additional file 1: Table S1) or different gene panels in 116/141 patients, or whole exome sequencing in 25/141. A pathogenic or likely pathogenic variant was identified in 23.4% (33/141) of cases (Table 3). Most variants occurred de novo (23/33, 70%), while X-linked inheritance accounted for 5/33 (15%) cases and compound recessive heterozygosity for 5/33 (15%) cases. A total of 27 different disease genes were found to be mutated in our series. All diagnosed cases were syndromic forms of ASD, with moderate to severe intellectual disability. VOUS were identified in 23.4% (33/141) cases (data not shown) and were not reported to parents. Deleterious sequence variants identified in patients with ASD in day-care hospitals of the Greater Paris region ASD autism spectrum disorder, F female, ID intellectual disability, M male, WES whole exome sequencing aVariants were assessed for pathogenicity according to the American College of Medical Genetics and Genomics (ACMG) criteria [7] bIn patient 38, the c.4110G>A variant in ARID1B is predicted to result in a synonymous substitution (p.Pro1370=) in the last base pair of exon 17. Further studies indicated that this variant affects the splice donor site and induces skipping of exon 17, causing a frameshift and premature termination (p.His1339Ilefs*77) [16] cPatients 46 and 47 are siblings Overall, on-site medical genetics consultations in specialized institutions identified previously undiagnosed genetic conditions in 71 ASD children and young adults and the implementation of NGS significantly improved diagnostic yield. The difference in diagnostic yield of array CGH and fragile X syndrome testing either alone or combined with NGS was strongly significant (Fisher’s exact test, p value 0.00998). Parents frequently mentioned that putting a name on the disease mechanism was not perceived as a “stigmatization,” but instead, they described it as a “relief” that helped them understand and overcome hardships and a connection to family support groups and other families facing similar situations. Occasionally, couples reported that genetic counseling arrived too late, when they already had a second affected child (or relative) or had given up the idea of having another child. Local team members frequently considered identifying the disease mechanism as an opportunity to improve specific management and gain access to relevant literature and future clinical trials. When the procedure proved unsuccessful, on-site follow-up appointments were offered to families and possible inclusion in research programs was discussed (whole exome and whole genome sequencing).

Discussion

Taking advantage of on-site medical genetics consultations, we estimated the impact of systematic resequencing of reported disease genes on the diagnostic rate in day-care hospitals and special schooling institutions within the Greater Paris area. While array CGH and screening for fragile X syndrome detected pathogenic variants in 10% of patients, further implementation of high-throughput sequencing of intellectual disability/ASD genes identified pathogenic or likely pathogenic variants in 23.5% of investigated patients. Most variants occurred de novo and only 27 genes were found to be mutated in our series [7, 8]. All diagnosed cases were syndromic forms of ASD, with moderate to severe intellectual disability. Some patients had undiagnosed early-onset, transient epilepsy, later ascribed to a genetic condition when deferred behavioral problems occurred. Overall, on-site medical genetics consultations identified previously undiagnosed genetic conditions in 71 ASD children and young adults. This diagnostic yield may be an under-estimate, given that variants of uncertain significance and variants in strong candidate genes were not regarded as the cause of the disease. With the rapid pace of gene discovery in intellectual disability and ASD, some of these uncertain findings will likely be reclassified as pathogenic over time. Based on this study, we suggest offering systematic array CGH and panel resequencing of known disease genes in syndromic/atypical ASD individuals with an associated intellectual disability. Moreover, we suggest that a stepwise procedure be considered, first screening a limited number of disease genes in a much larger number of patients, especially those with syndromic ASD and intellectual disability. In the future, current guidelines will hopefully mention genetics screening of the most frequent ASD genes as an explicit recommendation to professionals, which is not currently the case [17, 18]. While recognizing a genetic condition had no immediate impact on the case management, this information was often received by parents as a “relief” that helped them overcome hardship and alleviate the sense of guilt and self-blame of having given birth to a child with ASD. Relating to support groups and other families facing similar situations was also appreciated, as it fostered studies aimed at delineating natural history and the long-term outcome of ASD sub-types. On-site consultations also helped offering actionable recommendations and cognitive/behavioral interventions [19, 20]. Conversely, on-site medical genetics consultations had a significant impact on genetic counseling especially when de novo sequence variants or CNVs were identified, as they significantly reduced recurrence risk to parents and relatives (with the reservation of low-recurrence risk germline mosaicism). Omitting or postponing medical genetics consultations and failing to warn of potential genetic risks may have serious consequences in inherited forms of ASD. The reason why so many patients failed to be systematically investigated before our on-site consultations remains unclear. Possible explanations include a limited number of clinical experts, the congestion or inadequacy of outpatient hospital consultations for patients with special needs, and a lack of funding for genetics services. Furthermore, while parents usually accept being referred to a child neurologist, the perception of a genetics consultation is a much more sensitive issue at the early stages of the disease, i.e., when parents first meet with a child psychiatrist. In contrast, the opportunity to conduct or update the etiological investigations was accepted more easily later on, when there is no doubt regarding the ASD diagnosis, but there are still many remaining mechanism-related questions. This study shows that ASD children and young adults admitted in specialized institutions within the Greater Paris area (and probably other regions of France as well) had limited access to genetic advances. Deferred, optional on-site interventions may help by offering specialized consultations and counteracting the loss of opportunity to diagnose a genetic condition for both patients and relatives. The fact that genetics services are underused by affected families is not specific to France; it is a major challenge worldwide [21]. For instance, a Spanish study exploring access to genetics services and parental perception of genetic risk in children with ASD revealed striking underuse of genetics services, with only 30% of families visiting a genetics service and 13% of patients undergoing the recommended genetic tests [22]. Similarly, a recent Taiwanese study revealed that two-thirds of parents with children with ASD had never heard about genetic testing for ASD, while the majority (71%) expressed an interest in learning more about such testing [23]. This lack of service provision significantly impacted family planning in both studies.

Limitations

It is worth noting that our study has several limitations. First, owing to the number of patients reported here, no details on the clinical assessment (CARS, ADOS, ADI-R) or the level of intellectual disability could be individually provided for patients carrying pathogenic CNVs or sequence variants. Second, patients seen by our ambulatory services in specialized institutions possibly differ from those who visit regular clinics, as the most severe cases are selected over time. It is likely that the less severely affected ones are not referred to the institutions visited, and that in these patients, the etiologic yield of the genetic explorations performed here could be lower. Third, the eponym of ASD actually comprises a variety of conditions, including a significant amount of overlooked genetic conditions (i.e., early-onset transient epileptic encephalopathy). Owing to difficulties accessing long-term medical/medico-social facilities for disabled children, recognition of “autistic features” in a disabled child might have channeled many patients towards these high-quality institutions. Finally, an obvious limitation stems from public funding restriction, as only a fraction of patients without pathogenic CNVs had NGS.

Conclusions

We suggest that on-site clinical genetics consultations be considered in day-care hospitals and specialized institutions, to implement a standard of care, navigate referrals, and counteract the loss of opportunity to diagnose a genetic condition in ASD patients. Particular attention should be paid to a stepwise procedure, first screening for pathogenic CNVs and sequence variants in frequently mutated genes in a much larger number of children with syndromic ASD and intellectual disability. Table S1. List of 439 known intellectual disability/ASD genes or candidate genes tested by panel resequencing. (XLSX 196 kb)
  18 in total

1.  Haploinsufficiency of ARID1B, a member of the SWI/SNF-a chromatin-remodeling complex, is a frequent cause of intellectual disability.

Authors:  Juliane Hoyer; Arif B Ekici; Sabine Endele; Bernt Popp; Christiane Zweier; Antje Wiesener; Eva Wohlleber; Andreas Dufke; Eva Rossier; Corinna Petsch; Markus Zweier; Ina Göhring; Alexander M Zink; Gudrun Rappold; Evelin Schröck; Dagmar Wieczorek; Olaf Riess; Hartmut Engels; Anita Rauch; André Reis
Journal:  Am J Hum Genet       Date:  2012-03-09       Impact factor: 11.025

2.  The new genetics of autism: a translational opportunity?

Authors:  Tony Charman
Journal:  Lancet Psychiatry       Date:  2015-09-02       Impact factor: 27.083

3.  Xq25 duplication: the crucial role of the STAG2 gene in this novel human cohesinopathy.

Authors:  C Leroy; M-L Jacquemont; B Doray; D Lamblin; V Cormier-Daire; A Philippe; S Nusbaum; C Patrat; J Steffann; L Colleaux; M Vekemans; S Romana; C Turleau; V Malan
Journal:  Clin Genet       Date:  2015-03-05       Impact factor: 4.438

4.  American College of Medical Genetics standards and guidelines for interpretation and reporting of postnatal constitutional copy number variants.

Authors:  Hutton M Kearney; Erik C Thorland; Kerry K Brown; Fabiola Quintero-Rivera; Sarah T South
Journal:  Genet Med       Date:  2011-07       Impact factor: 8.822

Review 5.  Autism.

Authors:  Meng-Chuan Lai; Michael V Lombardo; Simon Baron-Cohen
Journal:  Lancet       Date:  2013-09-26       Impact factor: 79.321

6.  Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.

Authors:  Sue Richards; Nazneen Aziz; Sherri Bale; David Bick; Soma Das; Julie Gastier-Foster; Wayne W Grody; Madhuri Hegde; Elaine Lyon; Elaine Spector; Karl Voelkerding; Heidi L Rehm
Journal:  Genet Med       Date:  2015-03-05       Impact factor: 8.822

7.  Targeted Next-Generation Sequencing Analysis of 1,000 Individuals with Intellectual Disability.

Authors:  Detelina Grozeva; Keren Carss; Olivera Spasic-Boskovic; Maria-Isabel Tejada; Jozef Gecz; Marie Shaw; Mark Corbett; Eric Haan; Elizabeth Thompson; Kathryn Friend; Zaamin Hussain; Anna Hackett; Michael Field; Alessandra Renieri; Roger Stevenson; Charles Schwartz; James A B Floyd; Jamie Bentham; Catherine Cosgrove; Bernard Keavney; Shoumo Bhattacharya; Matthew Hurles; F Lucy Raymond
Journal:  Hum Mutat       Date:  2015-09-30       Impact factor: 4.878

8.  MRI findings in 77 children with non-syndromic autistic disorder.

Authors:  Nathalie Boddaert; Mônica Zilbovicius; Anne Philipe; Laurence Robel; Marie Bourgeois; Catherine Barthélemy; David Seidenwurm; Isabelle Meresse; Laurence Laurier; Isabelle Desguerre; Nadia Bahi-Buisson; Francis Brunelle; Arnold Munnich; Yves Samson; Marie-Christine Mouren; Nadia Chabane
Journal:  PLoS One       Date:  2009-02-10       Impact factor: 3.240

9.  Behavioral disturbance and treatment strategies in Smith-Magenis syndrome.

Authors:  Alice Poisson; Alain Nicolas; Pierre Cochat; Damien Sanlaville; Caroline Rigard; Hélène de Leersnyder; Patricia Franco; Vincent Des Portes; Patrick Edery; Caroline Demily
Journal:  Orphanet J Rare Dis       Date:  2015-09-04       Impact factor: 4.123

10.  Efficient strategy for the molecular diagnosis of intellectual disability using targeted high-throughput sequencing.

Authors:  Claire Redin; Bénédicte Gérard; Julia Lauer; Yvan Herenger; Jean Muller; Angélique Quartier; Alice Masurel-Paulet; Marjolaine Willems; Gaétan Lesca; Salima El-Chehadeh; Stéphanie Le Gras; Serge Vicaire; Muriel Philipps; Michaël Dumas; Véronique Geoffroy; Claire Feger; Nicolas Haumesser; Yves Alembik; Magalie Barth; Dominique Bonneau; Estelle Colin; Hélène Dollfus; Bérénice Doray; Marie-Ange Delrue; Valérie Drouin-Garraud; Elisabeth Flori; Mélanie Fradin; Christine Francannet; Alice Goldenberg; Serge Lumbroso; Michèle Mathieu-Dramard; Dominique Martin-Coignard; Didier Lacombe; Gilles Morin; Anne Polge; Sylvie Sukno; Christel Thauvin-Robinet; Julien Thevenon; Martine Doco-Fenzy; David Genevieve; Pierre Sarda; Patrick Edery; Bertrand Isidor; Bernard Jost; Laurence Olivier-Faivre; Jean-Louis Mandel; Amélie Piton
Journal:  J Med Genet       Date:  2014-08-28       Impact factor: 6.318

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  10 in total

1.  An ethical analysis of divergent clinical approaches to the application of genetic testing for autism and schizophrenia.

Authors:  E Morris; M O'Donovan; A Virani; J Austin
Journal:  Hum Genet       Date:  2021-08-28       Impact factor: 4.132

2.  Sex-Specific Social Behavior and Amygdala Proteomic Deficits in Foxp2 +/- Mutant Mice.

Authors:  Maria Jesus Herrero; Li Wang; David Hernandez-Pineda; Payal Banerjee; Heidi Y Matos; Meredith Goodrich; Aswini Panigrahi; Nathan Anthony Smith; Joshua G Corbin
Journal:  Front Behav Neurosci       Date:  2021-08-05       Impact factor: 3.558

3.  A Study of the Genomic Variations Associated with Autistic Spectrum Disorders in a Russian Cohort of Patients Using Whole-Exome Sequencing.

Authors:  Ekaterina A Gibitova; Pavel V Dobrynin; Ekaterina A Pomerantseva; Elizaveta V Musatova; Anna Kostareva; Igor Evsyukov; Sergey Y Rychkov; Olga V Zhukova; Oxana Y Naumova; Elena L Grigorenko
Journal:  Genes (Basel)       Date:  2022-05-20       Impact factor: 4.141

4.  Effects of a postnatal Atrx conditional knockout in neurons on autism-like behaviours in male and female mice.

Authors:  Nicole Martin-Kenny; Nathalie G Bérubé
Journal:  J Neurodev Disord       Date:  2020-06-24       Impact factor: 4.025

5.  Screening for FMR1 CGG Repeat Expansion in Thai Patients with Autism Spectrum Disorder.

Authors:  Areerat Hnoonual; Charunee Jankittunpaiboon; Pornprot Limprasert
Journal:  Biomed Res Int       Date:  2021-12-08       Impact factor: 3.411

Review 6.  Erotomania and phenotypic continuum in a family frameshift variant of AUTS2: a case report and review.

Authors:  Christophe Gauld; Alice Poisson; Julie Reversat; Elodie Peyroux; Françoise Houdayer-Robert; Massimiliano Rossi; Gaetan Lesca; Damien Sanlaville; Caroline Demily
Journal:  BMC Psychiatry       Date:  2021-07-17       Impact factor: 3.630

Review 7.  Copy number variants (CNVs): a powerful tool for iPSC-based modelling of ASD.

Authors:  Danijela Drakulic; Srdjan Djurovic; Yasir Ahmed Syed; Sebastiano Trattaro; Nicolò Caporale; Anna Falk; Rivka Ofir; Vivi M Heine; Samuel J R A Chawner; Antonio Rodriguez-Moreno; Marianne B M van den Bree; Giuseppe Testa; Spyros Petrakis; Adrian J Harwood
Journal:  Mol Autism       Date:  2020-06-01       Impact factor: 7.509

Review 8.  Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders.

Authors:  Veronica B Searles Quick; Belinda Wang; Matthew W State
Journal:  Neuropsychopharmacology       Date:  2020-07-15       Impact factor: 8.294

9.  New Candidates for Autism/Intellectual Disability Identified by Whole-Exome Sequencing.

Authors:  Lucia Pia Bruno; Gabriella Doddato; Floriana Valentino; Margherita Baldassarri; Rossella Tita; Chiara Fallerini; Mirella Bruttini; Caterina Lo Rizzo; Maria Antonietta Mencarelli; Francesca Mari; Anna Maria Pinto; Francesca Fava; Alessandra Fabbiani; Vittoria Lamacchia; Anna Carrer; Valentina Caputo; Stefania Granata; Elisa Benetti; Kristina Zguro; Simone Furini; Alessandra Renieri; Francesca Ariani
Journal:  Int J Mol Sci       Date:  2021-12-14       Impact factor: 5.923

Review 10.  Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs.

Authors:  Ida E Sønderby; Christopher R K Ching; Sophia I Thomopoulos; Dennis van der Meer; Daqiang Sun; Julio E Villalon-Reina; Ingrid Agartz; Katrin Amunts; Celso Arango; Nicola J Armstrong; Rosa Ayesa-Arriola; Geor Bakker; Anne S Bassett; Dorret I Boomsma; Robin Bülow; Nancy J Butcher; Vince D Calhoun; Svenja Caspers; Eva W C Chow; Sven Cichon; Simone Ciufolini; Michael C Craig; Benedicto Crespo-Facorro; Adam C Cunningham; Anders M Dale; Paola Dazzan; Greig I de Zubicaray; Srdjan Djurovic; Joanne L Doherty; Gary Donohoe; Bogdan Draganski; Courtney A Durdle; Stefan Ehrlich; Beverly S Emanuel; Thomas Espeseth; Simon E Fisher; Tian Ge; David C Glahn; Hans J Grabe; Raquel E Gur; Boris A Gutman; Jan Haavik; Asta K Håberg; Laura A Hansen; Ryota Hashimoto; Derrek P Hibar; Avram J Holmes; Jouke-Jan Hottenga; Hilleke E Hulshoff Pol; Maria Jalbrzikowski; Emma E M Knowles; Leila Kushan; David E J Linden; Jingyu Liu; Astri J Lundervold; Sandra Martin-Brevet; Kenia Martínez; Karen A Mather; Samuel R Mathias; Donna M McDonald-McGinn; Allan F McRae; Sarah E Medland; Torgeir Moberget; Claudia Modenato; Jennifer Monereo Sánchez; Clara A Moreau; Thomas W Mühleisen; Tomas Paus; Zdenka Pausova; Carlos Prieto; Anjanibhargavi Ragothaman; Céline S Reinbold; Tiago Reis Marques; Gabriela M Repetto; Alexandre Reymond; David R Roalf; Borja Rodriguez-Herreros; James J Rucker; Perminder S Sachdev; James E Schmitt; Peter R Schofield; Ana I Silva; Hreinn Stefansson; Dan J Stein; Christian K Tamnes; Diana Tordesillas-Gutiérrez; Magnus O Ulfarsson; Ariana Vajdi; Dennis van 't Ent; Marianne B M van den Bree; Evangelos Vassos; Javier Vázquez-Bourgon; Fidel Vila-Rodriguez; G Bragi Walters; Wei Wen; Lars T Westlye; Katharina Wittfeld; Elaine H Zackai; Kári Stefánsson; Sebastien Jacquemont; Paul M Thompson; Carrie E Bearden; Ole A Andreassen
Journal:  Hum Brain Mapp       Date:  2021-02-21       Impact factor: 5.399

  10 in total

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