Literature DB >> 29398931

Syndromic autism spectrum disorders: moving from a clinically defined to a molecularly defined approach.

Bridget A Fernandez1, Stephen W Scherer2.   

Abstract

Autism spectrum disorder (ASD) encompasses a group of neurodevelopmental conditions diagnosed solely on the basis of behavioral assessments that reveal social deficits. Progress has been made in understanding its genetic underpinnings, but most ASD-associated genetic variants, which include copy number variants (CNVs) and mutations in ASD-risk genes, account for no more than 1 % of ASD cases. This high level of genetic heterogeneity leads to challenges obtaining and interpreting genetic testing in clinical settings. The traditional definition of syndromic ASD is a disorder with a clinically defined pattern of somatic abnormalities and a neurobehavioral phenotype that may include ASD. Most have a known genetic cause. Examples include fragile X syndrome and tuberous sclerosis complex. We propose dividing syndromic autism into the following two groups: (i) ASD that occurs in the context of a clinically defined syndrome-recognizing these disorders depends on the familiarity of the clinician with the features of the syndrome, and the diagnosis is typically confirmed by targeted genetic testing (eg, mutation screening of FMR1); (ii) ASD that occurs as a feature of a molecularly defined syndrome-for this group of patients, ASD-associated variants are identified by genome-wide testing that is not hypothesis driven (eg, microarray, whole exome sequencing). These ASD groups cannot be easily clinically defined because patients with a given variant have variable somatic abnormalities (dysmorphism and birth defects). In this article, we review common diagnoses from the above categories and suggest a testing strategy for patients, guided by determining whether the individual has essential or complex ASD; patients in the latter group have multiple morphologic anomalies on physical examination. Finally, we recommend that the syndromic versus nonsyndromic designation ultimately be replaced by classification of ASD according to its genetic etiology, which will inform about the associated spectrum and penetrance of neurobehavioral and somatic manifestations.

Entities:  

Keywords:  ASD-risk gene; autism spectrum disorder; copy number variant; microarray; syndromic; whole exome sequencing

Mesh:

Substances:

Year:  2017        PMID: 29398931      PMCID: PMC5789213     

Source DB:  PubMed          Journal:  Dialogues Clin Neurosci        ISSN: 1294-8322            Impact factor:   5.986


Introduction

Autism spectrum disorder (ASD) encompasses a diverse group of neurodevelopmental conditions diagnosed by clinicians solely on the basis of behavioral assessments that reveal social communication and social interaction deficits. The most recent edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) uses one overarching ASD classification for what were formerly considered distinct clinical entities, including Asperger disorder, autistic disorder, and pervasive developmental disorder not otherwise specified. ASD's clinical heterogeneity includes not just the severity of the core autistic features, but also the presence or absence of neurobehavioral comorbidities, which include intellectual disability, attention-deficit/hyperactivity disorder (ADHD), and anxiety disorders, as well as medical comorbidities. Examples of the latter include the presence of a major congenital anomaly, epilepsy, and/or a broader genetic syndrome of which that individual's ASD is a feature.[1,2] The traditional definition of syndromic ASD is a disorder with a clinically defined pattern of somatic abnormalities and a neurobehavioral phenotype that may include ASD. The diagnosis is typically confirmed by targeted genetic testing, eg, for trisomy 21 or fragile X syndrome (FXS).[3] Such recognition depends on the clinician's experience with patients with particular groups of clinical findings, particularly for the less common syndromes. Examples where ASD is a variably present feature include (from lowest to highest expertise required for identification) Down syndrome, cases of neurofibromatosis type 1 (NF1) with mild cutaneous involvement, Cohen syndrome, and Potocki-Lupski syndrome.[4-7] We propose to differentiate syndromic ASD that occurs in the context of a “phenotype first” clinically defined syndrome, as described above and accounting for 4% to 5% of ASD cases,[8,9] from that which is molecularly defined (“genotype first”) ( Patients with molecularly defined ASD syndromes are not easily identified clinically because the somatic manifestations of a given genetic change (eg, dysmorphic features, birth defects) vary widely and because, often, the number of reported cases with sufficient accompanying clinical information is low. These syndromes are recognized through testing that is genome-wide and not hypothesis-driven (ie, microarray, whole exome sequencing [WES], or research-based whole genome sequencing). Examples include recurrent deletions and duplications of the 16p11.2 chromosome region[10] and pathogenic variants of the ASD-risk gene ADNP (activity-dependent neuroprotective protein).[11] To address the phenotypic complexity of ASD, in 2005, Miles et al suggested physical examination of an affected child for minor physical anomalies (MPAs) and significant anthropometric measurement abnormalities.[9] MPAs are morphologic deviations, present in less than 5% of the population (eg, single palmar creases, low-set ears).[12] Measurement abnormalities include ocular hypertelorism (inner and outer canthal distances > +2 standard deviations [SD]) and macrocephaly (head circumference > +2SD). Miles and colleagues assigned one point for each MPA or measurement abnormality and two points for each major congenital abnormality (eg, ventricular septal defect) to give a total dysmorphology score for each child. They stratified 260 ASD children into three morphologic categories: essential (score 0-3), equivocal (score 4-5), or complex (score >5). Twenty percent were classified as complex.[9] Miles et al hypothesized that, because those with equivocal and complex ASD showed evidence of an insult during early morphogenesis, they would be genetically distinct from those with essential/nondysmorphic ASD. Our group used her classification system to stratify a population-based cohort of 258 ASD children from Newfoundland and Labrador, Canada: 65.1% were classified as essential, 14.3% as equivocal, and 20.5% as complex.[8] The combined diagnostic yield from chromosomal microarray (CMA) (for ASD-associated copy number variants [CNVs]) and WES (for pathogenic variants in ASD-risk genes) was 15.8%. Positive genetic tests were enriched in the equivocal and complex groups (diagnostic rates of 28.6% and 37.5% respectively) compared with the essential group (6%). In this review, we: (i) summarize categories of ASD-associated genetic changes, with an emphasis on those identified by genome-wide testing; (ii) propose an approach to the genetic workup of ASD patients, with a testing strategy guided by morphologic examination; the algorithm is based on the premise that having excluded children with clinically defined syndromes, molecularly defined ASD syndromes are more likely to become apparent among individuals with equivocal or complex morphology; and (iii) use several molecularly defined ASD syndromes to illustrate common themes - such as variable penetrance and expressivity - and overlapping neurobehavioral phenotypes. Those selected are copy number variation at 16p11.2, genomic deletions that include the ASD-risk gene NRXN1 (neurexin 1), and CHD8 (chromosome helicase DNA binding protein 8)-associated ASD. Box 1. Glossary of genetic terms. Aneuploicly: The presence of an abnormal number of chromosomes in a cell. The normal number of chromosomes in a human cell is 46. De novo: A genetic variant that arises for the first time in the proband and is not present in either of the individual's parents. Haploinsufficiency: This arises when two copies of a gene are ordinarily both transcribed to make protein and one of the two gene copies is inactivated by a mutation. The resulting 50% reduction in the level of the associated protein leads to an abnormal state, for example, to an autosomal dominant disorder. Loss-of-function (LOF) mutation: A variant that affects a gene in such a way that no functional protein is produced from that copy of the gene. Nonallelic homologous recombination (NAHR): An abnormal form of recombination (crossing over) that occurs between two stretches of DNA that have high, but not identical, sequence homology. These are typically low copy repeats (LCRS) that have been duplicated through evolution. During cell division (in either meiosis or mitosis), LCRs can misalign and the subsequent crossing over leads to deletion or duplication of segments of DNA. Some of these copy number variants are associated with genetic disorders. Premutation allele: An allele which, when compared with a normal copy of the gene, contains a higher number of a tandemly repeated nucleotide sequence (eg, CCG repeats in the 5' untranslated region of FMR1 [fragile X mental retardation 1 gene]). The increase in repeat number is not high enough to lead to the severe form of the disorder and may or may not be associated with other milder conditions. A premutation allele can expand to a fully penetrant allele when passed through the germ line. Supernumerary isodkentric chromosome: An extra chromosome composed of a piece of a chromosome that has been duplicated end-to-end. The duplicated portions exist in a mirror image configuration and the extra chromosome has two centromeres.

Categories of ASD-associated genetic changes

Chromosomal

The first human karyotypes, nine cases of Down syndrome, were published in 1959,[13] but chromosome analysis was not routinely used in diagnostic laboratories until the 1970s. Karyotypes identify an ASD-associated chromosomal syndrome in 2% of ASD cases.[9,14] Most common are a supernumerary isodicentric chromosome 15 [idic(15)] involving the imprinted Prader-Willi/Angelman syndrome region (such individuals have four copies of the proximal 15q region instead of the usual two copies), Down syndrome, and the sex chromosome aneuploidies.[15] Over 85% of maternally derived idic(15) cases develop ASD. For Down syndrome patients, 5% to 15% meet ASD criteria. In one study of Klinefelter syndrome (also known as 47,XXY), 27% (14/51) met ASD criteria.[16]

Variants identified by genome-wide testing

Most CNVs and mutations in ASD-risk genes identified by genome-wide approaches are characterized by incomplete penetrance for ASD and by variable expressivity, or pleiotropy, with respect to the associated somatic abnormalities.[17,18] Very few lead to ASD in every person who carries the variant (ie, are completely penetrant) with the possible exception of truncating mutations in CHD8.[19] Also, most are associated with other neurobehavioral disorders, especially intellectual disability. Determining the penetrance of these variants with respect to each associated trait (central nervous system [CNS] and non-CNS abnormalities) would require population screening with deep phenotyping - a daunting task. Further, few identified variants account for more than 1% of ASD cases.[20] There are over 50 ASD-associated CNVs[21] and at least 61 ASD-risk genes.[22] Many of these converge into shared biological pathways, including neuronal development and axonal guidance, synaptic function, and chromatin remodeling.[21] This knowledge holds promise for guided therapeutic interventions.

Copy number variants

The first contiguous gene syndromes—genomic deletions creating haploinsufficiency of multiple neighboring genes—were identified using fluorescence in situ hybridization (FISH) on chromosomes.[23] We now recognize some of these as ASD-associated. For example, microdeletion 22q11.l syndrome is typically caused by a recurrent 3-megabase (Mb) deletion of 40 genes, including TBX1 (T-box 1). Twenty percent to 50% of patients with this deletion develop ASD (Table I).[49,50] Originally, a clinician might have suspected the diagnosis because of a particular facial appearance (narrow palpebral fissures, tubular nose) and/or the presence of certain birth defects, commonly involving the palate and the conotruncal region of the heart and then have ordered specific FISH testing of chromosome 22. Now, the abnormality would be detected by a genome-wide microarray. In 2004, large-scale human genomic variation was recognized.[53] A CNV is a segment of DNA, often larger than 1 kilobase (kb) and containing more than one gene, which is deleted or duplicated relative to a reference genome. About 10% of the human genome is affected by copy number variation. Some CNVs are benign (part of normal human variation) and others are pathogenic (associated with a medical phenotype).[54] Genome-wide microarrays were introduced into diagnostic laboratories in 2007 and were soon recommended as a first-line test for children with ASD.[55] Arrays capture the unbalanced changes detectable by chromosome analysis, which have a minimum resolution of 4 to 5 Mb, as well as smaller genomic deletions and duplications. Current microarrays detect an ASD associated CNV in 7% to 10% of cases.[8,22,55]

Pathogenic variants in ASD-risk genes

WES documents most of the coding parts of the genome, ie, the exons of 19 000 protein-coding genes (total of 50 Mb), from which a growing list of ASD-risk genes has been identified. In a population-based ASD cohort of 258 children, 9.3% received a molecular diagnosis by microarray and 8.4%, by WES.[8] Although still limited to research settings, whole genome sequencing (WGS) offers the advantage of identifying CNVs and DNA sequence changes in a single test. CNVs are more precisely sized by WGS, which helps with clinical interpretation. It offers better screening of the first exon of many genes and better identification of pathogenic variants at the intron/exon boundaries (splice junctions). In our hands, this increases the diagnostic yield by 3% to 5%,[56] and we expect WGS to become the first-line test for children with ASDs over the next 5 years.

Approach to an ASD patient in clinic

shows an approach designed for a child who has been diagnosed with ASD by DSM-5 criteria. The child's medical record, including imaging reports, should be reviewed, documenting neurobehavioral comorbidities (eg, intellectual disability, anxiety disorders, sleep disturbance) and medical comorbidities (eg, epilepsy, other neurologic abnormalities, major congenital anomalies). Physical examination should include documentation of height, weight, head circumference, and dysmorphic features. Particular attention should be paid to the face, hands, and feet. The skin should be examined, looking for cutaneous abnormalities associated with NF1 (café-au lait spots, inguinal/axillary freckling, cutaneous/subcutaneous neurofibromas) and with tuberous sclerosis complex (TSC) (hypopigmented macules, facial angiofibromas, ungual fibromas). This may allow the clinician to identify a specific ASD-associated syndrome based on clinical features. For those without expert training in dysmorphology, syndromes that could reasonably be recognized include Down syndrome, NF1,TSC, FXS, and PTEN (phosphatase and tensin homolog gene)-associated ASD in a child with extreme macrocephaly (head circumference greater than 3 SDs above the mean). If no clinical syndrome is identified, the morphologic exam should be used to classify the child as having either essential (nondysmorphic) or complex ASD (multiple minor physical abnormalities and/or major congenital anomalies). Note that 25% of those with essential ASD are macrocephalic.[8] All patients with unexplained essential ASD should have microarray and FXS testing. We also suggest mutation screening of MECP2 (methyl-CpG-binding protein 2 gene) for girls with intellectual disability, particularly if there are other features of Rett syndrome (RTT), such as language regression.[57] Some patients with essential ASD, especially those with comorbid intellectual disability, have mutations in ASD-risk genes that will be missed without WES,[8] and opportunities for such testing should be considered. For patients with complex ASD, if a clinically defined syndrome is suspected, targeted genetic testing is indicated. Otherwise, we recommend microarray, followed by WES if no highly penetrant CNV is identified. The caveat to this is that 4% to 8% of children who have an ASD-associated CNV on microarray have a second ASD-associated change identified through WES.[8,22]

Clinically defined ASD syndromes

Fragile X syndrome (FXS)

FXS is the leading cause of inherited intellectual disability and in some populations, the most common genetic cause of ASD, accounting for 0.5% to 2% of cases.[58] Over 98% of mutations are triplet repeat expansions in the 5' untranslated region (5'UTR) of the X-linked gene, FMR1 (fragile X mental retardation 1). The ranges for normal, premutation, and full mutation alleles are 5 to 44 CGG repeats, 55 to 200 repeats, and more than 200 CGG repeats, respectively. FMR1 mutations are dynamic and expand from one generation to the next, particularly when transmitted by a female. Full mutations in males typically lead to methylation of FMR1, inhibiting production of FMR1 messenger RNA (mRNA) and fragile X mental retardation protein (FRMP)—an RNA binding protein that regulates hundreds of proteins, most of which are involved with synaptic plasticity.[59] Males with full FMR1 mutations and fully methylated alleles have moderate intellectual disability and a characteristic appearance. Typical facial features are macrocephaly with a prominent forehead, a long face, large protruding ears, and a prominent chin. There may be signs of a connective tissue disorder including a high arched palate, hyperextensible finger joints, pectus excavatum and mitral valve prolapse. Postpubertal macroorchidism also occurs. These findings are age-dependent, and 30% of young children with FXS are not obviously dysmorphic.[59] Over 90% of males with full mutations have autistic features, and up to 60% meet diagnostic criteria for ASD.[60] In females, the impact of full mutations is buffered by their second X chromosome and the X-inactivation phenomenon, such that 30% to 50% will have the syndrome. Their dysmorphism is milder or less evident than in their male counterparts, the main features being prominent ears and jaw.[59] In one review of 31 females with full mutations, 23% met the criteria for ASD on at least one diagnostic test.[61] Premutation alleles are paradoxically associated with increased FMR1 transcript levels; this leads to premature ovarian failure in 20% of carrier women and to fragile X-associated tremor ataxia syndrome (FXTAS) in up to 50% of older males.[62] Premutation alleles also appear to increase susceptibility to ASD in both sexes. In a study of 50 premutation carriers, 14% of males and 5% of females met Autism Diagnostic Observation Scale-Generic (ADOS-G)[63] criteria for ASD.[61] In keeping with other reviews,[1,58] we recommend FMR1 testing for all males and females with unexplained ASD, even in the absence of typical FXS dysmorphism (Figure 1). Note that trinucleotide repeat expansions, including those in FMR1, are not well detected by WES.

Phosphatase and tensin homolog (PTEN)-associated ASD

This widely expressed tumor suppressor, which maps to 10q23.3, functions as a brake for numerous cellular growth pathways. Its canonical function is downregulation of the phosphoinositol 3-kinase/AKT (or protein kinase B)/mammalian target of rapamycin (mTOR) pathway. Heterozygous PTEN mutations upregulate the AKT pathway leading to decreased apoptosis and increased cell growth.[64] PTEN mutations are associated with a family of disorders with overlapping features that include Cowden syndrome (CS), Bannayan-Riley-Ruvalcaba syndrome (BRR), PTEN-related Proteus syndrome, and ASD-macrocephaly syndrome. A patient with any one of these conditions is considered to have PTEN hamartoma tumor syndrome (PTHS). CS patients are at increased risk of certain cancers, mainly breast, thyroid, and uterine. Most are macrocephalic, and by age 30 years, the vast majority develop pathognomonic mucocutaneous lesions (trichilemmomas and papillomatous papules). BRR is characterized by macrocephaly, intestinal polyps, and penile freckling in males. No genotype-phenotype correlations exist, and these phenotypes can be mixed even within the same family with the same mutation.[65] In 2001, the first child with autism, macrocephaly, and a PTEN mutation was reported. At 9 years of age, his head circumference was 6 SD above the mean. He inherited the missense mutation from his intellectually and socially normal mother, who was subsequently diagnosed with CS.[66] This report was followed by a series of prospective studies, mainly cohorts of individuals with ASD and macrocephaly summarized by Tilot et al,[64] and the frequency of PTEN mutations ranged from 1% to 17%. The prevalence of macrocephaly in ASD is 20% to 25%,[8,9] but the degree of macrocephaly in ASD PTEN-mutation-positive patients is higher than in those who are mutation negative. In a cohort of 181 PTEN-mutation-positive individuals, the average head circumference was + 3.5 SD in adults and + 5 SD in children.[67] The smallest head circumference reported to date in a macrocephalic child with ASD was + 2.9 SD.[68] In our population-based cohort of 258 ASD children, we identified one PTEN mutation (0.4%). The variant was de novo and at age 4.5 years, this female's head circumference was + 4.5 SD.[8] We recommend PTEN-mutation screening for all ASD children with a head circumference at or above +3 SD (Figure 2). If a mutation is identified, the child requires tumor surveillance (annual thyroid ultrasound and skin examination) with screening for other tumors beginning at 30 years of age.[65] Mutations can be either de novo or inherited, and parents should be checked for the mutation even if they are asymptomatic.

Methyl-CpG-binding protein 2 (MECP2) and its association with ASD

The X-linked MECP2 gene encodes a critical regulator of brain function. It binds to specifically methylated cytosine residues in DNA (5meCyt) leading to chromatin compaction, which regulates the transcription of adjacent genes. MECP2 also influences translation at a global level by enhancing the AKT/mTOR pathway.[69] De novo MECP2 mutations are responsible for over 95% of classic Rett syndrome (RTT). Affected girls develop normally for the first 6 to 18 months, followed by a period of regression, with loss of acquired language and replacement of purposeful hand use by stereotypic movements. The regression almost always occurs by age 5 years, and during this phase, some girls meet the criteria for ASD. Regression is followed by a period of stabilization, sometimes with recovery of skills.[57] MECP2 mutations were later associated with a broad range of phenotypes including milder or more severe presentations of RTT in girls, and neonatal encephalopathy in males.[70] Considerations around MECP2 testing for the ASD population include: (i) some girls first meet diagnostic criteria for ASD and later develop features of classic or variant RTT[71]; and (ii) MECP2 mutations are found in 2% of girls with ASD with or without intellectual disability and no features of RTT[72] Such was first reported when researchers screened 68 autistic females and identified de novo mutations in two (ages 10 and 16 years) who met diagnostic criteria for ASD without features of RTT[73] Recently, screening of 120 ASD cases via WES identified three patients (2.5%) with MECP2 mutations previously reported in patients with RTT[74] We recommend MECP2 testing in any girl with unexplained ASD, particularly if she has intellectual disability or features to suggest early RTT (Figure 2). If a MECP2 mutation is found in a young girl, she should be monitored until at least age 5 years for the development of RTT features.

Other common clinically defined syndromes

Disorders associated with ASD include those characterized by skin abnormalities (eg, NF1,TSC), intellectual disability coupled with dysmorphic features (eg CHARGE syndrome, Cornelia de Lange syndrome, Sotos syndrome) or particular birth defects (eg, Timothy syndrome, Joubert syndrome and other ciliopathy disorders). For a thorough catalog, see reviews by Carter and Scherer,[1] Betancur,[16] and Miles.[58] The clinically defined syndromes also include several of the genomic disorders listed in Table I that are caused by recurrent CNVs and that have well delineated somatic features.

Molecularly defined ASD syndromes

ASD-associated CNVs

Microarrays identify ASD-associated CNVs in 7% to 10% of ASD cases.[8,22,55] Individuals with an ASD have more de novo CNVs than do controls[21]; this increased level of genomic variation has been documented in other neurodevelopmental disorders,[75,76] supporting the concept of overlapping genomic etiologies. CNVs can be further classified into four categories: (i) large imbalances that would have been detected by routine chromosome analysis, eg, trisomy 21; (ii) large rare deletions or duplications, many of which been catalogued in DECIPHER (DECIPHER consortium, https://decipher.sanger.ac.uk/); (iii) recurrent CNVs involving genomic disorder loci; and (iv) CNVs that involve known ASD-risk genes. Here, we focus on the third and fourth categories. In general, for neurobehavioral phenotypes, penetrance is greater for de novo than for inherited CNVs, and for genomic deletions than for duplications.[21]

16p11.2 deletions and duplications

Some regions of the human genome are flanked by lowcopy repeat segments that predispose to nonallelic homologous recombination (NAHR), resulting in recurrent reciprocal deletions and duplications.[45] One such region is a 593-kb segment of 16p11.2 that contains 25 annotated genes. First reported in ASD cohorts at 1% frequency,[77-79] this CNV's variable expressivity has been recognized, both with respect to the associated neurobehavioral abnormalities, which includes intellectual disability, and to somatic abnormalities.[10] Deletions of the 16p11.2 region are the second most common microdeletion identified in clinical laboratories[80] and are frequently de novo. Almost all affected individuals are developmentally delayed. In a review of 85 well-characterized deletion-positive individuals, 93% had at least one psychiatric diagnosis: 24% met ASD diagnostic criteria, and most of the remainder had behavioral traits that overlapped with ASD, including restricted interests and insistence on sameness. Other common diagnoses included speech and language disorders in 71% and developmental coordination disorders.[42] Patients with microdeletion 16p11.2 are variably dysmorphic and may have congenital anomalies, the most common of which are posterior fossa malformations of the brain and vertebral anomalies.[10,43] Over half are obese by age 7 years—anticipatory steps should be taken to prevent this.[43,44] The reciprocal 16p11.2 duplications have a more variable and often milder phenotype and some carriers are nonpenetrant. Penetrance estimates for the associated neuropsychiatric disorders are unknown. Dysmorphology data are sparse, but in our experience, most individuals are not dysmorphic. Although the duplication confers susceptibility to ASD and intellectual disability, its strongest association is with schizophrenia, which has been suggested as ASD's mirror image disorder; duplication-positive patients are at 10- to 14-fold increased risk for psychosis.[81,82] Underscoring the pleiotropy that is common to this and other CNVs, among 202 adults with intellectual disability and a comorbid psychiatric diagnosis, the most frequently observed CNV was duplication 16p11.2; of these four individuals, two had ASD and two had psychotic disorders.[83] Duplication patients are more likely to have low body mass index (BMI), consistent with this genomic region being dosage-sensitive for weight. They have reduced head circumferences, whereas deletion patients tend to be macrocephalic.[44] Another mirror image phenotype was shown among 30 deletion and 25 duplication patients by high-resolution brain magnetic resonance imaging, where clusters of abnormally thick or thin cortex were more extensive in the deletion and duplication patients, respectively.[84] Other CNVs that have been consistently associated with ASD are summarized in Table I.

CNVs that involve an ASD-risk gene: Neurexin 1

The list of high confidence ASD-risk genes and of ASD-associated CNVs are largely nonoverlapping; however, some CNVs involve a known ASD-risk gene. In neurobehavioral patient cohorts, most such CNVs appear to be more common than disruptive sequence changes within the associated ASD-risk gene. Examples include deletions that involve NRXN1, NRXN3, ASTN2 (astrotactin 2 gene), DPYD (dihydropyrimidine dehydrogenase gene), and MBD5 (methyl-CpG-binding domain 5 gene), and deletions or duplications that involve AUTS2 (autism susceptibility candidate 2 gene), DMD (dystrophin gene), and NF1 (neurofibromatosis, type 1 gene).[22] See Table I for a description of 2q23.1 microdeletion syndrome. The causative overlapping deletions all contain MBD5 and appear to be highly penetrant with respect to ASD.[27,28] The human neurexin genes (NRXN1, NRXN2, NRXN3) encode CNS presynaptic scaffolding proteins. They function as cell adhesion molecules and receptors and, through binding neuroligins, mediate synapse formation and function. Each gene has alternative promoters, which direct the expression of longer α-neurexin and shorter β-neurexin transcripts. These transcripts undergo extensive alternative splicing to form over 1000 neurexin isoforms.[85,86] NRXN1 maps to 2p16.2 and has 24 exons.[87] Heterozygous deletions involving multiple NRXN1 exons, typically at the 5' end of the gene and involving only α-neurexin, were first reported in 2008.[88,89] Heterozygous partial gene deletions have been reported in ASD, intellectual disability, and schizophrenia cohorts, as well as in the healthy parents of children with neurobehavioral abnormalities and in healthy controls.[90] Among 2620 ASD cases, five had exonic NRXN1 deletions (0.19%).[22] The largest published group of exonic-deletion patients with accompanying clinical information includes 24 children ascertained through referral for a clinical microarray.[91] Their deletions varied from 40 to 586 kb, and 91% of the children were developmentally delayed. Though not personally examined by the authors, 83% (19/23) were classified as dysmorphic without an overlapping pattern of somatic abnormalities constituting a recognizable syndrome. Forty-three percent (9/21) had a formal diagnosis of ASD and 77% had either ASD or ASD features. On the basis of a review of published cases and the frequency of exonic NRXN1 deletions in controls, the authors suggested that deletion-positive individuals are at a 20-fold increased risk for ASD, and that NRXN1 exonic deletions have an ASD penetrance of 20%. Heterozygous pathogenic sequence changes in NRXN1 have been reported in ASD cohorts, but appear to be less frequent than exonic deletions.[22,92,93] Finally, biallelic disruptions of NRXN1 (exonic deletions and intragenic mutations) are associated with a severe syndromic form of intellectual disability, called Pitt Hopkins-like syndrome 2, which is within the differential diagnosis for a patient with suspected Angelman syndrome. All four reported cases (two sisters and an unrelated male and female) were dysmorphic, and three had severe seizure disorders. One male had a formal diagnosis of ASD,[94] and the other three had autistic features.[95,96]

ASD-risk genes

High-throughput sequencing projects (initially WES and later WGS) have identified genes that are very likely to confer ASD risk, based on the finding of multiple de novo loss-of-function (LOF) mutations in unrelated ASD cases. These high-confidence ASD-risk genes include CHD8,[10] ARID1B [98-100] (AT-rich interaction domain 1B), SCN2A (sodium channel, voltage-gated, type II, α subunit gene)[52,112-116], DYRK1A (dual-specificity tyrosine-(Y)-phosphorylation-regulated kinase 1A gene), SYNGAP1 (synaptic Ras G TPase activating protein 1 gene),[108-110] ADNP and SHANK3 (SH3 and multiple ankyrin repeat domains 3 gene)[105-107] (see Table II [11,19,22,56,89,91,119]). Of these, CHD8 has the highest number of LOF mutations and accounts for the most de novo mutations among ASD patients.[22]

Chromosome helicase DNA binding protein 8 (CHD8)-associated ASD

CHD8 maps to chromosome 14q11.2 and is a master transcriptional repressor that acts by remodeling chromatin structure and recruiting histone 1 to target genes. It functions at the center of a complex network of ASD genes. Its targets in human fetal brain include other ASD-risk genes such as ADNP ARID1B, DYRK1A, PTEN, and RAD21 (RAD21 cohesin complex component gene).[120,121] In 2015, Cotney et al suggested that mutations in CHD8 “[perturb] an ancient gene regulatory network” critical for normal human brain development.[121] This may prove to be an important common underlying mechanism for ASD, at least for a subset of affected individuals. Heterozygous CHD8 LOF mutations in ASD individuals were first reported in 2012.[122,123] In a combined cohort of 6000 patients (40% ASD probands from the Simons Simplex Collection and the remainder, children with ASD or developmental delay), there were 16 LOF CHD8 mutations. Over 90% of the truncating mutations were de novo.[19] The group was able to recontact eight families containing 15 individuals with severe truncating CHD8 mutations for structured clinical assessments, including dysmorphology examinations. Of these, 13 met strict criteria for ASD, suggesting that disruptive mutations are possibly specific for ASD. All had low or borderline intelligence quotients (IQs); 80% were macrocephalic, although not to the degree typical of patients with PTEN mutations. The children and adults in this group had strikingly similar facial dysmorphology, including prominent supraorbital ridges, ocular hypertelorism with downslanting palpebral fissures, and pointed chins. The majority had gastrointestinal dysmotility. Both individuals in the cohort who were over age 40 years developed malignancies, including one who died of colorectal cancer at 42.[19] Somatic mutations in CHD8 have been associated with gastric cancer.[124] This group's work shows the importance of recalling groups of individuals with the same genetic alteration for deep phenotyping. The need to screen over 6000 patients to identify 15 CHD8 patients who could be recontacted underscores one of the biggest challenges in this field, ie, ASD's high level of genetic heterogeneity. The study appears to have identified a genomic marker for an ASD subtype with dysmorphology findings that overlap with FXS, and efforts should continue to characterize independent cohorts with CHD8 truncating mutations, including longitudinal studies to determine whether these patients are at increased risk of gastrointestinal or other malignancies.

Concluding remarks

ASD affects 1 in 68 American children, according to the most recent estimates.[125] Providing assessments for such numbers through traditional genetic clinics is not feasible. We present an algorithm that can be followed by other health care providers who care for ASD children and have access to microarray and FXS testing. Children with morphologically complex ASD should be referred to a clinical geneticist, who may undertake targeted genetic testing or WES (Figure 2). Few studies have examined the diagnostic yield of a thorough medical assessment, coupled with modern genetic testing, for ASD in a typical pediatric developmental clinic; however, a diagnostic rate of 25% for clinically and molecularly defined syndromes has been suggested.[20] The availability of microarray and WES to clinicians involved in the care of children with ASD varies widely even within countries that have adopted genomic medicine. For example, in many Canadian provinces, nongeneticist specialists can order microarrays for children with ASD, with access to WES largely limited to geneticists. In the United States, insurance coverage is a major determinant of access to these tests. WGS still mainly occurs through research protocols. The approximate prices in Canadian dollars, which includes the cost of the assay and calling the variants, are as follows: about $500 for a microarray, $750 for WES, and $1250 for WGS. These prices are all based on the experiments being performed in a research setting. As these tests move into a clinical diagnostic realm with increased monitoring and standard operating procedures, the cost often triples compared with the prices listed for research testing.[126] Genome-wide testing for the individual child and family is valuable for the following reasons. First, for some variants, sufficient data exist to predict developmental trajectories and provide anticipatory care for known medical comorbidities. For example, almost all patients with PTEN mutations have early motor delay including in independent walking, about one-quarter remain nonverbal or minimally verbal after age 4 years, and another quarter have an intelligence quotient (IQ) that is average or above average. Additionally, these patients need to be enrolled in a tumor surveillance protocol.[64] A child with 7q11.23 duplication syndrome requires regular monitoring of the proximal aorta for dilatation,[123] and a child with 17q12 deletion should be screened for maturity-onset diabetes of the young (Table I).[48] Second, a positive genetic test often leads to improved recurrence risk counseling for parents considering more children. Examples include a full FMR1 mutation in a boy whose mother carries a premutation, or a child with a negative microarray and a de novo truncating mutation in CHD8. In the latter scenario, the risk that a future sibling will develop ASD is very likely less than the empirical recurrence risk of 20%. Major knowledge gaps remain, including the determinants of penetrance and expressivity associated with the known variants. The proportion of children whose ASD is due to a combination of multiple genetic hits is probably much higher than we currently appreciate, and this will complicate interpretation of their phenotypes and provision of genetic counseling. Bourgeron hypothesized that individuals with ASD can be divided into three groups with different ASD susceptibilities on the basis of the degree of genetic buffering provided by common low-risk alleles, of which we currently have little knowledge.[20] A person with high genetic buffering, and therefore low a priori risk, might only develop ASD in the context of a de novo highly penetrant mutation; these are the changes that we have been most successfully identifying by WES. For a person with a low genetic buffer, accumulation of certain lower risk alleles may be sufficient to lead to ASD; this group probably includes a high proportion of children with essential ASD who have negative genetic testing. Addressing these issues will require well-defined cohorts who are identified by genotype, clinically characterized, and followed-up longitudinally. Many of the identified ASD variants are in genes whose products converge into shared biologic pathways that ultimately control synaptic plasticity.[20] For example, MECP2, MBD5, CHD8, ADNP, ARID1B, and TBR1 (T-box, brain, 1 gene) all encode key regulators of chromatin remodeling (Table II). NF1, PTEN, and SYNGAP1 products all upregulate the mTOR pathway, increasing translation within neurons and at synapses. Once the deregulation of these pathways is better understood, clinical trials will probably ensue, for which well-defined cohorts will be needed. Lastly, informed by better natural history data, it may become appropriate to screen for highly penetrant ASD variants in newborns in order to allow the introduction of behavioral interventions in the first year of life when the brain has its highest level of neuronal plasticity.
TABLE I.

Copy number variants consistently reported in association with autism spectrum disorder. ADHD, attention-deficit/hyperactivity disorder; AS, Angelman syndrome; ASD, autism spectrum disorder; BMI, body mass index; BD, bipolar disorder; BP, breakpoint; btw, between; CHD, congenital heart disease; chr, chromosome; CNV, copy number variant; DCD, developmental coordination disorder; DD, developmental delay; Del, deletion; Dup, duplication; FTT, failure to thrive; GU, genitourinary abnormality; HDAC4, histone deacetylase 4; HNF1B, hepatocyte nuclear factor 1 β; ID, intellectual disability; IQ, intelligence quotient; Kb, kilobase; Mb, megabase; MBD5, methyl- CpG-binding domain 5 gene; MEF2C, myocyte-specific enhancer factor 2C gene; mild-mod ID, mild-to-moderate intellectual disability; MODY, maturity onset diabetes of the young; MRI, magnetic resonance imaging; OCD, obsessive compulsive disorder; ODD, oppositional defiant disorder; PFs, palpebral fissures; PWS, Prader-Willi syndrome; RASA1, RAS p21 protein activator 1; SCZ, schizophrenia; SHANK3, SH3 and multiple ankyrin repeat domains 3 gene; SL disorder, speech and/or language disorder. A Genomic coordinates (hg19) for recurrent CNVs from DECIPHER: Del/Dup1q21.1 chr1:146533376-147883376; Del3q29 chr3:195726835-197344663; Dup7q11.23 chr7:72744455-74142672; Dup15q11-13 chr15:22876632-28557186; Del/Dup15q13.2q13.3 chr15:30910306-32445407; Del/ Dup16p11.2 chr16:29606852-30199855; Dup16p13.11 chr16:14986684-16486684; Dup17p11.2 chr17:16773072-20222149; Del17q12 chr17:34815072-36215917; Del22q11.2 chr22:21917117-23722445; Del22q13.3 chr22:51045516-51187844. Genomic coordinates (hg19) for recurrent CNVs from ClinGen: Del/Dup15q11.2 chr15:22803838-23092697.B This is the frequency of ASD in carriers reported in the referenced manuscript and, because of the influence of ascertainment bias, it should not be equated with the penetrance of the CNV for ASD.C Apparently normal transmitting parents reported.D Includes the imprinted Prader-Willi/Angelman syndrome region.E Nonimprinted region that includes NIPA1 & NIPA2.F Little inheritance data reported due to availability of parental samples, but at least several cases have had de novo duplications.G Nonimprinted region that contains CHRNA7.H Miller et al, 2009[40]: ASD 40% (2/5).I Ben-Schachar et al, 2009[41]: ASD features in 85% (12/14), most not formally tested and one diagnosed with Asperger syndrome.J Greater than 50% by age 7 years.K Causative gene is RAI1 and the reciprocal 17p11.2 deletion causes Smith-Magenis syndrome.L Only one formally assessed for ASD, and this individual met ASD criteria.M HNF1B causes renal cysts and diabetes syndrome (RCAD).N Vortsman et al, 200650: ASD in 30/60 Dutch children.O 50% of these are inherited from parent with a balanced rearrangement.

CNVA Size Rate of ASD in reported carriersB Other neuropsychiatric phenotypes Consistently clinically recognizable Dysmorphic features Other somatic abnormalities (specific examples) Inheritance References
Del1q21.11.35 Mb<10%ADHD, mildmod ID (30%), SCZ, seizures (16%), learning disabilityNoVariably dysmorphic: microcephaly,short stature, frontal bossing, deep-set eyes, bulbous noseOcular (microphthalmia), CHD (tetralogy of Fallot), GU (hydronephrosis), skeletal malformationsUp to 50% inheritedC 24
Dup1q21.1Critical region 1.35 Mb36% (21/59)ID, SCZ, mood disorders (bipolar, depression)NoVariable mild dysmorphism (1/3): macrocephaly (62%), prominent forehead, hypertelorismCHD (tetralogy of Fallot), GU (cryptorchidism)Up to 2/3's inheritedC 25,26
Del2q23.1Various sizes, all including MBD5 100% (51/51 had ASD features)Consistent severe phenotype; all appear to have ID with little/no speech; many ataxic with seizuresPotentially yes (an Angelmanlike syndrome)Consistently dysmorphic: microcephaly (90%), thick/high-arched eyebrows, wide mouth, small hands & feetCHD; GUAll presumed de novo due to severity of phenotype27,28
Del2q373-10 Mb (HDAC4 proposed as causative gene)30 %Mild-mod ID (occasionally normal IQ), seizures (20%- 35%)Potentially yes - initially classified as a form of Albright hereditary osteodystrophyCharacteristic facies: round face, thin high-arched eyebrows, deep-set eyes, upslanting palpebral fissures, hypoplastic nasal alae. Short stature, obesity, short digitsCHD (septal defects), CNS (hydrocephalus) GU (horseshoe kidney); 1% risk of Wilms tumor95% de novo deletion; 5% result from balanced parental translocation29
Del3q291.6 Mb26% (11/44 patients)ID; speech delay (60%); Of the non-ASD cases, 28% had another psychiatric phenotype: anxiety disorder, BD, SCZNoPaucity of data, subtle dysmorphism in first described patients.CHD (26%)Mainly de novo, occasional reports of inherited deletions30
Del5q14.3Various sizes, all including the ID gene MEF2C 42% (autistic features in 12/28)Severe ID syndrome with absent speech. Majority have seizures & hypotoniaNo (in the differential of a Rettlike syndrome)No easily recognizable facial phenotype. Features include broad forehead, small upturned nose, small mouth, large ears.Brain MRI abnormalities (89%); if the deletion includes RASA1, some have capillary and/or arteriovenous malformationsDe novo deletions31,32
Dup7q11.231.5-1.8—Mb dup of the Williams- Beuren syndrome critical region20% meet gold standard criteria for ASDID (18%), borderline IQ (20%), anxiety disorder (60%), ADHD (35%), oppositional disorders (25%), seizures (19%), hypotonia, ataxiaPotentially yesDistinctive craniofacial features at all ages: macrobrachycephaly, straight eyebrows, short philtrum, thin upper lipDilatation of ascending aorta sometimes requiring surgical correction (46%); 30% have one or more congenital anomalies (CHD, renal, vertebral abnormalities)73% de novo; 27% inherited33
Dup15q11-13Dup of maternal chr 15D Unknown. ASD is a recognized feature & penetrance appears highID, motor coordination difficulties, language disorders including dyspraxia, ADHDNoMild or no dysmorphic features (no overt features of PWS or AS)Joint laxity, occasional congenital abnormalities phenotype ++ variable even within familiesDe novo & inherited34-36
Del15q11.2350-kb del between BP1 and BP2E 27% (43/161)ID (37%), speech delay (67%), motor delay (42%), ADHD (35%), SCZ (20%), OCD (26%), ODD (24%), ataxia (28%), seizures (26%)NoUnspecified dysmorphic features (39%), dysmorphic ears (46%), palatal abnormalities (46%)Brain MRI abnormalities (43%), congenital heart defect (9%), genital abnormality (7%).De novo and inheritedC 37-39
Dup15q11.2350-kb dup between BP1 & BP2E 43% (20/47)DD (40%), speech delay (49%), ADHD (38%), ataxia (23%), seizures (12%)NoDysmorphic features (42%) - not consistently recognizableNone recordedUnknownF 37
Del15q13.2 q13.31.6-Mb del btw BP4 & 5G ASD 40%H, ASD features 85%I DD, ID, ADHD, SL disorder, SCZ, seizuresNoMiller et al,[40] 2009: Subtle dysmorphic features (5/5); Ben-Schachar et al,[41] 2009: facies normal to moderately dysmorphicNone recordedDe novo & inheritedC 40,41
Dup15q13.2 q13.3500 kb-1.98 Mb dup btw/ within BP4 & BP5ASD 80% (4/5)DD (3/3), ID (1/1), SL disorder (3/3)NoNo consistent pattern of dysmorphism (2/2)None recordedDe novo (2/5); maternally inherited (3/5)40
Del16p11.2 Potocki-Lupsky syndrome600 kb del btw BP4 & BP5ASD 26% (20/78)ID/borderline IQ (23%), SL disorder (71%), DCD (58%), ADHD (19%), anxiety disorder (6%), seizures (24%)NoNonspecific facial dysmorphia (46%, 69/150), some macrocephalicWide range of congenital anomalies (most common: vertebral abnormalities [20%] & posterior fossa malformations), obesityJ Frequently de novo; can be inherited42-44
Dup16p11.2600-kb dup btw BP 4 & BP 5UnknownID, SCZ, bipolar disorder, seizures (overall penetrance 30%- 50%)NoNot usually dysmorphic, some microcephalicLow BMIUsually inheritedC 45-46
Dup16p13.11Dups with varying BPs (790 kb- 2.67 Mb)ASD 50% (4/8)DD, ADHD, seizuresNoNot consistently dysmorphic (1/8, severely dysmorphic)Brain MRI abnormalities, CHDDe novo & inheritedC 47
Dup17p11.2K Potocki-Lupsky syndrome3.7 Mb6/7 autistic featuresL ID, ADHD, severe communication disorder, infant hypotoniaPotentially yesShared dysmorphic features: broad forehead, downslanting PFs, long nasal tipFTT (5/7), CHDUnknownF 7
Del17q121.4-MB del, includes HNF1BM 6/9 ASD features (4/9 met diagnostic criteria)SCZ, ID, SL disorder, deficits in motor skills &/ or coordination, anxiety disordersPotentially yesMacrodolicocephaly & consistent, mild facial dysmorphism (epicanthal folds, downslanting PFs, arched eyebrows)Renal abnormalities that can present prenatally (eg, cystic kidneys), risk of diabetes including MODYDe novo & inherited48
Del22q11.2Common 3-Mb del20%- 50%N Psychiatric diagnosis in 60% of adults (SCZ in 25%) ID, ADHD, SL disorder, anxiety disordersYes, in many casesCharacteristic facial features include narrow PFs, hooded eyelids, squared off ear helicesCHD especially conotruncal, palatal abnormalities, renal anomalies93% de novo, 7% inherited49,50
Del22q13.3 [Phelan- McDermid syndrome]Terminal deletions, varying sizes, all include SHANK3 50% ASD or autistic featuresMajor features: neonatal hypotonia, moderate- severe ID, severely delayed/absent expressive language, seizures (25%)NoCommon, but subtle facial features: dolichocephaly, wide brow, deep-set eyes, bulbous nose, large poorly formed earsCHD (>25%), renal anomalies (>25%)80%- 85% de novo; 15-20% unbalanced chromosome rearrangementO 51
TABLE II.

Examples of ASD-risk genes and their associated additional phenotypes. ADD, attention deficit disorder; ADHD, attention-deficit hyperactivity disorder; ASD, autism spectrum disorder; BAF, BRG1/BRM associated factor (also known as SWI/SNF); CASK, Calcium/calmodulindependent serine protein kinase; CHD, congenital heart disease; CNS, central nervous system; CPVT, catecholaminergic polymorphic ventricular tachycardia; CSS1, Coffin-Siris syndrome 1; DD, developmental delay; GI, gastrointestinal; GU, genitourinary abnormality; het, heterozygous; HVDAS, Helsmoortel-Van der Aa syndrome; ID, intellectual disability; IUGR, intrauterine growth retardation; LD, learning disability; mod-severe ID, moderate-to-severe intellectual disability; MRI, magnetic resonance imaging; NMDAR, N-methyl-Daspartate receptor; OMIM, Online Mendelian Inheritance in Man database; PSD, postsynaptic density; SCZ, schizophrenia; SD, standard deviation; SWI/SNF-A, a chromatin remodeling complex.A SWI/SNF complex in yeast.B Initial ADNP mutations were identified by screening ASD cohorts.C Reports are rare.D ANK2 mutations have been identified in multiple large ASD cohorts with little accompanying phenotypic information.E 16/35 (45.7%) had ASD.[119]

ASD-risk gene Chromosomal location/ gene name and function ASD penetrance Other neurobehavioral phenotypes Dysmorphology Other somatic abnormalities References
Chromatin remodeling
CHD8 14q11.2, Chromodomain helicase DNA binding protein 8. Master transcriptional repressorWith truncating mutations, possibly completeIDTruncating mutations - common facial dysmorphism: prominent supraorbital ridges, hypertelorism, pointed chinGI dysmotility, possible increased malignancy risk19
ADNP 20q13.13, Activity-dependent neuroprotective protein. Presumed transcription factor. Cterminus interacts with 3 essential components of BAF complex,A which regulates gene expression by mediating chromatin remodelingComplete: causes Helsmoortel- Van der Aa syndrome (HVDAS, OMIM ≠615873), which belongs to the group of SWI/SNFrelated ID disordersB Other features of HVDAS: ID, hypotonia, seizures, ADHD/ ADD, anxiety disordersDysmorphology variable. Common features: prominent forehead, high hairline, broad nasal bridge, thin upper lip, long/ smooth philtrum, polydactylyFeeding problems, CHD, brain MRI abnormalities11,97
ARID1B 6q25.3, AT-rich interactive domain-containing protein 1B. Largest subunit of the mammalian SWI/SNF-A chromatin remodeling complexIncompleteAD mutations associated with: SWI/SNF ID syndrome Coffin- Siris syndrome (CSS1, OMIM≠ 135900), apparently nonsyndromic ID, syndromic short statureFeatures in some CCS1 patients: hypertrichosis, coarse facies, malformed ears, short stature, small, hypoplastic 5th fingers. Clinical data on phenotypes of apparently nonsyndromic ID/ASD patients is lackingDocumented in CSS1: brain MRI abnormalities (especially agenesis of the corpus callosum), cryptorchidism in males, palatal abnormalities98-100
TBR1 2q24.2, T-box, brain 1. Coactivated by cask to induce transcription of T-element containing genes, including Reelin, which is essential for cerebrocortical developmentUnknownIDUnknown - none reportedGrowth retardation22,101
Synaptic and cytoskeletal proteins
NRXN1 - het missense & truncating variantsC 2p16.3, Neurexin 1. Cell surface receptor that binds neuroligins to form a complex at CNS synapsesIncompleteADHD, LD, ID, SCZMild facial dysmorphism in some (no other details)Unknown - none reported89,92,93,102
NRXN1 - deletions (limited to NRXN1 exons)2p16.3, Neurexin 1. Cell surface receptor that binds neuroligins to form a complex at CNS synapses20 %DD, ID, hypotonia, bipolar disorder, ADHD, epilepsy, SCZVariably dysmorphic or nondysmorphicNonspecific brain MRI abnormalities, ocular abnormalities, other congenital anomalies91,103,104
SHANK3 22q13.33, SH3 and multiple Ankyrin repeat domain 3. Structural protein of the post-synaptic density (PSD). PSD is responsible for alignment of postsynaptic membrane proteinsIncomplete; penetrance for de novo truncating mutations is high, and most cases also have mod-severe IDSCZ, ID, epilepsy, speech delay, ADHD/ ADD, hypotoniaVariable facial dysmorphism in some cases similar to Phelan- McDermid syndrome (del22q13.3 syndrome, Table I); some cases nondysmorphic; macrocephaly; large statureNone reported105-107
SYNGAP1 6p21.3, Synaptic RASGTPase activating protein 1. Part of the N-methyl-d-aspartate receptor (NMDAR) complex located in the PSD of glutamatergic neuronsIncomplete (50%[108])Nonsyndromic ID [MRD5 OMIM≠ 612621]. Appears to be highly penetrant for ID and generalized epilepsy. Other findings: hypotonia, ataxiaUnknown - none reportedAcquired microcephaly. Brain MRI normal or nonspecific features108-110
ANK2 4q25-q26, Ankyrin 2. Localizes membrane ion channels and transportersUnknownD UnknownNone reportedAssociated with several cardiac arrhythmia syndromes, including long QT syndrome type 4 & CPVT22,111
SCN2A 2q24.3, Sodium channel, voltage gated, type II alpha subunit. A subunit of a sodium channelIncompleteSpectrum of seizure disorders (benign familial neonatal seizures, infantile epileptic encephalopathy, neonatal seizures with later-onset episodic ataxia), SCZ, ID, brain MRI abnormalitiesNone reportedOptic atrophy, microcephaly56,112-116
DYRK1A. Dualspecificity tyrosine phosphorylationregulated kinase 1A.21q22.13 (located within the Down syndrome critical region). Protein kinase essential for neurogenesis, neuronal differentiation, synaptic plasticityIncompleteE ID, severe speech delay/absent speech, epilepsy, ataxia/ broad-based gaitAn Angelman-like syndrome with distinct facial features: sparse scalp hair, deep-set eyes, hooded eyelids, prominent nasal root, pointed nasal tip, short chin (not reminiscent of Down syndrome)IUGR, congenital microcephaly (—2 SD to —5 SD), brain MRI abnormalities (hypomyelination), eye defects, joint contractures, CHD, GU117-119
  119 in total

1.  The cognitive and behavioral phenotype of the 16p11.2 deletion in a clinically ascertained population.

Authors:  Ellen Hanson; Raphael Bernier; Ken Porche; Frank I Jackson; Robin P Goin-Kochel; LeeAnne Green Snyder; Anne V Snow; Arianne Stevens Wallace; Katherine L Campe; Yuan Zhang; Qixuan Chen; Debra D'Angelo; Andres Moreno-De-Luca; Patrick T Orr; K B Boomer; David W Evans; Stephen Kanne; Leandra Berry; Fiona K Miller; Jennifer Olson; Elliot Sherr; Christa L Martin; David H Ledbetter; John E Spiro; Wendy K Chung
Journal:  Biol Psychiatry       Date:  2014-06-16       Impact factor: 13.382

Review 2.  Etiological heterogeneity in autism spectrum disorders: more than 100 genetic and genomic disorders and still counting.

Authors:  Catalina Betancur
Journal:  Brain Res       Date:  2010-12-01       Impact factor: 3.252

3.  The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism.

Authors:  C Lord; S Risi; L Lambrecht; E H Cook; B L Leventhal; P C DiLavore; A Pickles; M Rutter
Journal:  J Autism Dev Disord       Date:  2000-06

4.  High frequencies of de novo CNVs in bipolar disorder and schizophrenia.

Authors:  Dheeraj Malhotra; Shane McCarthy; Jacob J Michaelson; Vladimir Vacic; Katherine E Burdick; Seungtai Yoon; Sven Cichon; Aiden Corvin; Sydney Gary; Elliot S Gershon; Michael Gill; Maria Karayiorgou; John R Kelsoe; Olga Krastoshevsky; Verena Krause; Ellen Leibenluft; Deborah L Levy; Vladimir Makarov; Abhishek Bhandari; Anil K Malhotra; Francis J McMahon; Markus M Nöthen; James B Potash; Marcella Rietschel; Thomas G Schulze; Jonathan Sebat
Journal:  Neuron       Date:  2011-12-22       Impact factor: 17.173

5.  Investigation of NRXN1 deletions: clinical and molecular characterization.

Authors:  Mindy Preston Dabell; Jill A Rosenfeld; Patricia Bader; Luis F Escobar; Dima El-Khechen; Stephanie E Vallee; Mary Beth Palko Dinulos; Cynthia Curry; Jamie Fisher; Raymond Tervo; Mark C Hannibal; Kiana Siefkas; Philip R Wyatt; Lauren Hughes; Rosemarie Smith; Sara Ellingwood; Yves Lacassie; Tracy Stroud; Sandra A Farrell; Pedro A Sanchez-Lara; Linda M Randolph; Dmitriy Niyazov; Cathy A Stevens; Cheri Schoonveld; David Skidmore; Sara MacKay; Judith H Miles; Manikum Moodley; Adam Huillet; Nicholas J Neill; Jay W Ellison; Blake C Ballif; Lisa G Shaffer
Journal:  Am J Med Genet A       Date:  2013-03-12       Impact factor: 2.802

6.  Genetic and clinical characterization of patients with an interstitial duplication 15q11-q13, emphasizing behavioral phenotype and response to treatment.

Authors:  J A Thomas; J Johnson; T L Peterson Kraai; R Wilson; N Tartaglia; J LeRoux; L Beischel; L McGavran; R J Hagerman
Journal:  Am J Med Genet A       Date:  2003-06-01       Impact factor: 2.802

7.  Disruption of neurexin 1 associated with autism spectrum disorder.

Authors:  Hyung-Goo Kim; Shotaro Kishikawa; Anne W Higgins; Ihn-Sik Seong; Diana J Donovan; Yiping Shen; Eric Lally; Lauren A Weiss; Juliane Najm; Kerstin Kutsche; Maria Descartes; Lynn Holt; Stephen Braddock; Robin Troxell; Lee Kaplan; Fred Volkmar; Ami Klin; Katherine Tsatsanis; David J Harris; Ilse Noens; David L Pauls; Mark J Daly; Marcy E MacDonald; Cynthia C Morton; Bradley J Quade; James F Gusella
Journal:  Am J Hum Genet       Date:  2008-01       Impact factor: 11.025

Review 8.  Autism spectrum disorders--a genetics review.

Authors:  Judith H Miles
Journal:  Genet Med       Date:  2011-04       Impact factor: 8.822

9.  Convergence of genes and cellular pathways dysregulated in autism spectrum disorders.

Authors:  Dalila Pinto; Elsa Delaby; Daniele Merico; Mafalda Barbosa; Alison Merikangas; Lambertus Klei; Bhooma Thiruvahindrapuram; Xiao Xu; Robert Ziman; Zhuozhi Wang; Jacob A S Vorstman; Ann Thompson; Regina Regan; Marion Pilorge; Giovanna Pellecchia; Alistair T Pagnamenta; Bárbara Oliveira; Christian R Marshall; Tiago R Magalhaes; Jennifer K Lowe; Jennifer L Howe; Anthony J Griswold; John Gilbert; Eftichia Duketis; Beth A Dombroski; Maretha V De Jonge; Michael Cuccaro; Emily L Crawford; Catarina T Correia; Judith Conroy; Inês C Conceição; Andreas G Chiocchetti; Jillian P Casey; Guiqing Cai; Christelle Cabrol; Nadia Bolshakova; Elena Bacchelli; Richard Anney; Steven Gallinger; Michelle Cotterchio; Graham Casey; Lonnie Zwaigenbaum; Kerstin Wittemeyer; Kirsty Wing; Simon Wallace; Herman van Engeland; Ana Tryfon; Susanne Thomson; Latha Soorya; Bernadette Rogé; Wendy Roberts; Fritz Poustka; Susana Mouga; Nancy Minshew; L Alison McInnes; Susan G McGrew; Catherine Lord; Marion Leboyer; Ann S Le Couteur; Alexander Kolevzon; Patricia Jiménez González; Suma Jacob; Richard Holt; Stephen Guter; Jonathan Green; Andrew Green; Christopher Gillberg; Bridget A Fernandez; Frederico Duque; Richard Delorme; Geraldine Dawson; Pauline Chaste; Cátia Café; Sean Brennan; Thomas Bourgeron; Patrick F Bolton; Sven Bölte; Raphael Bernier; Gillian Baird; Anthony J Bailey; Evdokia Anagnostou; Joana Almeida; Ellen M Wijsman; Veronica J Vieland; Astrid M Vicente; Gerard D Schellenberg; Margaret Pericak-Vance; Andrew D Paterson; Jeremy R Parr; Guiomar Oliveira; John I Nurnberger; Anthony P Monaco; Elena Maestrini; Sabine M Klauck; Hakon Hakonarson; Jonathan L Haines; Daniel H Geschwind; Christine M Freitag; Susan E Folstein; Sean Ennis; Hilary Coon; Agatino Battaglia; Peter Szatmari; James S Sutcliffe; Joachim Hallmayer; Michael Gill; Edwin H Cook; Joseph D Buxbaum; Bernie Devlin; Louise Gallagher; Catalina Betancur; Stephen W Scherer
Journal:  Am J Hum Genet       Date:  2014-04-24       Impact factor: 11.025

10.  Microduplications of 16p11.2 are associated with schizophrenia.

Authors:  Shane E McCarthy; Vladimir Makarov; George Kirov; Anjene M Addington; Jon McClellan; Seungtai Yoon; Diana O Perkins; Diane E Dickel; Mary Kusenda; Olga Krastoshevsky; Verena Krause; Ravinesh A Kumar; Detelina Grozeva; Dheeraj Malhotra; Tom Walsh; Elaine H Zackai; Paige Kaplan; Jaya Ganesh; Ian D Krantz; Nancy B Spinner; Patricia Roccanova; Abhishek Bhandari; Kevin Pavon; B Lakshmi; Anthony Leotta; Jude Kendall; Yoon-Ha Lee; Vladimir Vacic; Sydney Gary; Lilia M Iakoucheva; Timothy J Crow; Susan L Christian; Jeffrey A Lieberman; T Scott Stroup; Terho Lehtimäki; Kaija Puura; Chad Haldeman-Englert; Justin Pearl; Meredith Goodell; Virginia L Willour; Pamela Derosse; Jo Steele; Layla Kassem; Jessica Wolff; Nisha Chitkara; Francis J McMahon; Anil K Malhotra; James B Potash; Thomas G Schulze; Markus M Nöthen; Sven Cichon; Marcella Rietschel; Ellen Leibenluft; Vlad Kustanovich; Clara M Lajonchere; James S Sutcliffe; David Skuse; Michael Gill; Louise Gallagher; Nancy R Mendell; Nick Craddock; Michael J Owen; Michael C O'Donovan; Tamim H Shaikh; Ezra Susser; Lynn E Delisi; Patrick F Sullivan; Curtis K Deutsch; Judith Rapoport; Deborah L Levy; Mary-Claire King; Jonathan Sebat
Journal:  Nat Genet       Date:  2009-10-25       Impact factor: 38.330

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  34 in total

1.  CNTN5-/+or EHMT2-/+human iPSC-derived neurons from individuals with autism develop hyperactive neuronal networks.

Authors:  Eric Deneault; Muhammad Faheem; Sean H White; Deivid C Rodrigues; Song Sun; Wei Wei; Alina Piekna; Tadeo Thompson; Jennifer L Howe; Leon Chalil; Vickie Kwan; Susan Walker; Peter Pasceri; Frederick P Roth; Ryan Kc Yuen; Karun K Singh; James Ellis; Stephen W Scherer
Journal:  Elife       Date:  2019-02-12       Impact factor: 8.140

2.  Mitochondria, Metabolism, and Redox Mechanisms in Psychiatric Disorders.

Authors:  Yeni Kim; Krishna C Vadodaria; Zsolt Lenkei; Tadafumi Kato; Fred H Gage; Maria C Marchetto; Renata Santos
Journal:  Antioxid Redox Signal       Date:  2019-02-01       Impact factor: 8.401

3.  (S)-5-(2'-Fluorophenyl)-N,N-dimethyl-1,2,3,4-tetrahydronaphthalen-2-amine, a Serotonin Receptor Modulator, Possesses Anticonvulsant, Prosocial, and Anxiolytic-like Properties in an Fmr1 Knockout Mouse Model of Fragile X Syndrome and Autism Spectrum Disorder.

Authors:  Jessica L Armstrong; Austen B Casey; Tanishka S Saraf; Munmun Mukherjee; Raymond G Booth; Clinton E Canal
Journal:  ACS Pharmacol Transl Sci       Date:  2020-02-21

4.  EEG Spectral Features in Sleep of Autism Spectrum Disorders in Children with Tuberous Sclerosis Complex.

Authors:  Ian A Cook; Andrew C Wilson; Jurriaan M Peters; Monisha N Goyal; E Martina Bebin; Hope Northrup; Darcy Krueger; Andrew F Leuchter; Mustafa Sahin
Journal:  J Autism Dev Disord       Date:  2020-03

5.  Mutations in trpγ, the homologue of TRPC6 autism candidate gene, causes autism-like behavioral deficits in Drosophila.

Authors:  Angelina Palacios-Muñoz; Danielle de Paula Moreira; Valeria Silva; Isaac E García; Francisco Aboitiz; Mehdi Zarrei; Gabriele Campos; Olivia Rennie; Jennifer L Howe; Evdokia Anagnostou; Patricia Ambrozewic; Stephen W Scherer; Maria Rita Passos-Bueno; John Ewer
Journal:  Mol Psychiatry       Date:  2022-05-02       Impact factor: 15.992

Review 6.  Cerebral organoids as an in vitro model to study autism spectrum disorders.

Authors:  Alexa Rabeling; Mubeen Goolam
Journal:  Gene Ther       Date:  2022-07-05       Impact factor: 5.250

7.  Systematic phenomics analysis of autism-associated genes reveals parallel networks underlying reversible impairments in habituation.

Authors:  Troy A McDiarmid; Manuel Belmadani; Joseph Liang; Fabian Meili; Eleanor A Mathews; Gregory P Mullen; Ardalan Hendi; Wan-Rong Wong; James B Rand; Kota Mizumoto; Kurt Haas; Paul Pavlidis; Catharine H Rankin
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-21       Impact factor: 11.205

Review 8.  Autism spectrum disorder: insights into convergent mechanisms from transcriptomics.

Authors:  Mathieu Quesnel-Vallières; Robert J Weatheritt; Sabine P Cordes; Benjamin J Blencowe
Journal:  Nat Rev Genet       Date:  2019-01       Impact factor: 53.242

Review 9.  Untangle the Multi-Facet Functions of Auts2 as an Entry Point to Understand Neurodevelopmental Disorders.

Authors:  Wenbin Pang; Xinan Yi; Ling Li; Liyan Liu; Wei Xiang; Le Xiao
Journal:  Front Psychiatry       Date:  2021-04-23       Impact factor: 4.157

10.  Contribution of Multiple Inherited Variants to Autism Spectrum Disorder (ASD) in a Family with 3 Affected Siblings.

Authors:  Jasleen Dhaliwal; Ying Qiao; Kristina Calli; Sally Martell; Simone Race; Chieko Chijiwa; Armansa Glodjo; Steven Jones; Evica Rajcan-Separovic; Stephen W Scherer; Suzanne Lewis
Journal:  Genes (Basel)       Date:  2021-07-08       Impact factor: 4.096

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