Skip to main content
Biology logoLink to Biology
. 2018 May 24;7(2):31. doi: 10.3390/biology7020031

A Rare De Novo RAI1 Gene Mutation Affecting BDNF-Enhancer-Driven Transcription Activity Associated with Autism and Atypical Smith-Magenis Syndrome Presentation

Clemer Abad 1, Melissa M Cook 2, Lei Cao 1, Julie R Jones 3, Nalini R Rao 1, Lynn Dukes-Rimsky 2, Rini Pauly 2, Cindy Skinner 2, Yunsheng Wang 4, Feng Luo 4, Roger E Stevenson 2, Katherina Walz 1,5,*, Anand K Srivastava 2,6,*
PMCID: PMC6023015  PMID: 29794985

Abstract

Deletions and mutations involving the Retinoic Acid Induced 1 (RAI1) gene at 17p11.2 cause Smith-Magenis syndrome (SMS). Here we report a patient with autism as the main clinical presentation, with some SMS-like features and a rare de novo RAI1 gene mutation, c.3440G > A (p.R1147Q). We functionally characterized the RAI1 p.R1147Q mutant protein. The mutation, located near the nuclear localization signal, had no effect on the subcellular localization of the mutant protein. However, similar to previously reported RAI1 missense mutations in SMS patients, the RAI1 p.R1147Q mutant protein showed a significant deficiency in activating in vivo transcription of a reporter gene driven by a BDNF (brain-derived neurotrophic factor) intronic enhancer. In addition, expression of other genes associated with neurobehavioral abnormalities and/or neurodevelopmental disorders were found to be altered in this patient. These results suggest a likely contribution of RAI1, either alone or in combination of other factors, to social behavior and reinforce the RAI1 gene as a candidate gene in patients with autistic manifestations or social behavioral abnormalities.

Keywords: autism spectrum disorder, Smith-Magenis syndrome, RAI1, neurodevelopmental disorder, mutation

1. Introduction

Smith-Magenis syndrome (SMS, MIM 182290) is a rare multiple congenital anomaly and developmental disability syndrome with an estimated incidence of 1:15,000–1:25,000 live births [1]. The syndrome is commonly characterized by a specific combination of clinical features, including distinctive craniofacial appearances, skeletal anomalies, speech and motor delay, a variable degree of intellectual disability, sleep disturbances, and self-injurious and/or aggressive attention-seeking behavior [1,2].

Autism spectrum disorder (ASD) is characterized by significant deficits in reciprocal social interactions, impaired communication and restricted, repetitive behaviors. ASD commonly co-occurs with other developmental, psychiatric, psychological, and neurological abnormalities. Patients with SMS have also been described to display stereotypies, sensory integration difficulties and social responsiveness scale scores consistent with ASD [3,4,5,6]. Typically, a deletion of chromosome 17p11.2, which encompasses multiple genes, including the retinoic acid-induced 1, RAI1, gene or a heterozygous mutation in the RAI1 gene, cause SMS [7,8,9,10,11,12,13,14,15,16]. Mice carrying an inactivated Rai1 allele (Rai1+/−) showed most of the SMS features and also showed diminished interest in social odors, abnormal submissive tendencies, and increased repetitive behaviors suggesting a role of Rai1 in social behavior in mice [17,18,19]. However, findings of aberrant social behaviors in mice carrying deletions or duplications of multiple genes, including the Rai1 gene, need to be interpreted with caution [20].

RAI1 is a transcription factor whose transcript has been found in multiple regions of the human brain including neurons, but not glia, of the dentate gyrus and cornus ammonis of the hippocampus [21]. Recently, it has been shown that murine Rai1 preferentially occupies DNA regions near active promoters and enhances the expression of genes involved in cell-cell neuronal communication [22]. A critical role for Rai1 in normal neural and craniofacial development has also been shown in Xenopus [23]. Morpholino-mediated Rai1 knockdown resulted in defects in the developing brain and face in Xenopus and such brain defects were also correlated with a decrease in the neurotrophic factor, bdnf [23]. Interestingly, Bdnf was also found to be downregulated in Rai1 heterozygous mice [24]. In addition, several Rai1-target genes were found to be involved in cell adhesion, axon guidance and neuronal morphogenesis [22] and Rai1 was shown to bind Bdnf and Htr2c [22]. We have shown that the human wild type RAI1 protein has nuclear localization and transcription factor activity [25,26,27]. Moreover, several mutant RAI1 proteins showed significant differences in the transcription factor activity compared with the wild type [27].

Here we describe a patient with autism, and some additional clinical features commonly present in patients with SMS including hyperactivity, obsessive-compulsive-like actions, aggressiveness, irregular eating and abnormal sleep patterns, who carries a de novo missense mutation, c.3440G > A (p.R1147Q), in the RAI1 gene. Functional studies of the p.R1147Q mutant protein revealed a significant impairment in recognizing and activating transcription of a reporter gene driven by a BDNF enhancer, described as an endogenous target sequence for RAI1 [24], when compared to the wild type form. In addition, by RNA-seq, we show that other genes associated with neurodevelopmental/neurobehavioral abnormalities are apparently altered in this patient or have abnormal expression levels, suggesting that his atypical SMS-clinical presentation might be the result of a complex genetic makeup.

2. Materials and Methods

2.1. Patient Report

A partial pedigree of the Caucasian family with one child with autism is shown in Figure 1A. Both parents are of normal intelligence and behavior. The proband is a 20-year-old male who began walking at 9 months of age and started using words at the usual time or a little late. At 16 months of age, he had an episode when he was inconsolable. Subsequent to that time, over the next three months, there was a noticeable decline. He stopped using words altogether and had essentially no social interaction. He began roaming around and was in constant motion, and seemed more self-absorbed. He was diagnosed as having ASD using CARS (Childhood Autism Rating Scale) and met criteria for ASD as outlined in DSM-IV [28,29]. He was toilet trained at 5 years of age. He had a febrile seizure at 5 years of age and subsequently has experienced nonfebrile tonic-clonic seizures which sleep deprivation seemed to precipitate. He had no EEG but his cranial CT and cranial MRI at 5 years of age were normal. His craniofacial features were normal. However, he appeared to have wide-set eyes. He had three café-au-lait spots and several pigmented nevi and a hypopigmented macule on his right arm. He had no abnormalities or deformities of the upper and lower limbs. At 9 years of age, the proband’s father noted that his son appeared to be different from other children with autism and described him as having more of a movement disorder with boundless energy, hyperactivity to the point of exhaustion and obsessive-compulsive-like actions. Although not temperamentally aggressive, he was found to be aggressive at times and had very irregular eating and sleeping patterns.

2.2. Mutation Screening

Next Generation Sequencing (NGS) of 62 autosomal and X-linked genes (Table S1) known for their association with ASD and/or syndromes that include ASD as a significant clinical feature was performed. Five micrograms of the patient’s genomic DNA sample was fragmented to 4–6 kb using a Covaris S220 Focused-Ultrasonicator (Covaris, Inc., Woburn, MA, USA). RainDance enrichment for the 62 genes was performed on the RDT1000 instrument (RainDance Technologies, Lexington, MA). A standard fragment library for analysis by SOLiD sequencing was prepared for the sample. Library amplification was performed using emulsion PCR, and the products of the emulsion PCR were purified (AMPure) and then deposited onto a glass slide for analysis by the 5500xl system (Applied Biosystems, Foster City, CA, USA). After bioinformatically processing the data, a tertiary analysis was performed using NextGENe software (SoftGenetics, State College, PA, USA). All changes deemed of potential clinical relevance were confirmed by Sanger sequencing.

2.3. Plasmid Constructs

The full-length clone of human RAI1-HA cDNA (accession numbers for human RAI1: NM_030665 and Q7Z5J4) was previously constructed [26]. The mutant RAI1-HA c.3440G > A was generated with site-directed mutagenesis by overlapping PCR utilizing the primers Forward 1 5′-GCAAAGAAAGAGCCTGTGCC-3′ and Reverse 1 5′-GTTTTGGTGCGTGACTGAAG-3′ for PCR 1 and Forward 2 5′-CTTCAGTCACGCACCAAAAC-3′ and Reverse 2 5′ CTCCTCTTCTTAGGCGCCAG-3′ for PCR 2. Following this, a third PCR was made using PCR 1 and PCR 2 as templates with Forward 1 and Reverse 2 primers. The mutated fragment was subcloned to replace the wild type sequence in the full length RAI1 cDNA with the enzymes AfeI and PfiMI. All clones were verified by DNA sequencing for the presence of the desired mutation and no extra change in the nucleotide sequence. For expression analysis, the cDNA of the mutant form was subcloned into the pALTER-MAX vector (Promega Corporation, Madison, WI, Madison, WI, USA). The constructs were sequenced in order to confirm the mutations and the absence of extra nucleotide changes.

2.4. Cell Culture

Neuro-2a cells were grown in Dulbecco’s Modified Eagle Medium supplemented with 10% fetal bovine serum, penicillin (100 units/mL), streptomycin (100 µg/mL) at 37 °C with 5% CO2 until 95% confluence was attained.

2.5. Western Blot and Immunofluorescence Analysis

To study the expression of the mutant protein, Neuro-2a cells were transfected with Lipofectamine 2000 (Invitrogen, Carlsbad, CA, USA) and the plasmid pALTER-MAX RAI1-HA wild type or RAI1-HA c.3440G > A. All transfections were performed according to the manufacturer’s protocol. Western blot analysis was performed as previously described [26]. Immunodetection was performed using rat anti-HA (1:7000, Roche, Branford, CT, USA) and rabbit anti-β-tubulin (1:1000, sc-9104 Santa Cruz, Dallas, TX, USA). Results were visualized by chemiluminescence. For immunofluorescence, cells were fixed 24 h after transfection with 4% paraformaldehyde followed by permeabilization with 0.2% Triton X-100 in PBS. Subcellular localization of RAI1-HA wild type and mutant forms were detected using the anti-HA high affinity antibody (1:1000, clone 3F10, Roche, Branford, CT, USA). Secondary antibody conjugated to Alexa Fluor 488 (1:1000) was used. Cells were stained with 4′, 6-diamidino-2-phenylindole, dihydrochloride (DAPI) and mounted with a Dako fluorescent mounting medium.

2.6. Reporter Gene Assays

In order to evaluate the transactivation activity of RAI1, transient transfections in Neuro-2a cells were performed in 35 mm plates with Lipofectamine 3000 (Gibco, Life Technologies, Carlsbad, CA, USA). The amounts of plasmid DNA used were defined according to manufacturer’s protocol. GAL4-BD fusions of human RAI1 wild type and mutant form were co-transfected with the luciferase reporter plasmid pFR-Luc (Agilent Technologies, La Jolla, CA, USA). For normalizing the results in case of transfection efficiency variations, the vector pSV-β-galactosidase (Promega Corporation, Madison, WI, USA) was also co-transfected for expression of β-galactosidase. After 24 h post-transfection, the cells were lysed and the luciferase activity was measured with Luciferase Assay Kit (Agilent Technologies, La Jolla, CA, USA) according to manufacturer’s instructions. The Relative Light Units (RLUs) were measured in duplicate in a luminometer (Turner BioSystems 20/20n, Promega Corporation, Madison, WI, USA). The β-galactosidase activity of the extracts was measured using the microassay protocol of β-galactosidase Assay kit (Agilent Technologies, La Jolla, CA, USA). Each assay was carried out in duplicate. For assessing the ability of RAI1 and its mutant form for activating transcription through the BDNF enhancer, the plasmid pGL3-BDNF enhancer previously generated was utilized [27] plus the pSV-β-Galactosidase (Promega Corporation, Madison, WI, USA) and pAlter-MAX RAI1-HA wild type or mutant form were co-transfected in Neuro-2a cells. At 24 h post-transfection, cells were lysed for measuring, in duplicate, luciferase and β-galactosidase activities as described previously [27]. Cells co-transfected with pGL3 BDNF enhancer, pSV-β-Galactosidase and empty pAlter-MAX vector were used to normalize the data to basal BDNF activation levels.

2.7. Statistical Analysis

Statistical analysis was performed utilizing the two-tailed Student’s t-test, and a p-value ≤0.05 was considered significant.

2.8. Next Generation RiboZero RNA Sequencing and RNA-Seq Data Analysis

Total RNA was extracted from lymphoblastoid cell lines from the proband and 9 age-, sex- and race-matched normal control individuals using mirVana™ miRNA Isolation Kit (LifeTech, part number AM1560, Carlsbad, CA, USA). Yield (absorbance at 260 nm) and purity (260/280 = 1.8–2.0, 260/230 ≥ 1.7) were assessed with a NanoDrop® (Thermo Scientific, Waltham, MA, USA) spectrophotometer. Automated capillary electrophoresis with the RNA 6000 Nano kit on an Agilent BioAnalyzer 2100 was used to measure RNA integrity. All samples had an RNA integrity number (RIN) of 8 or above. Sequencing was performed at the Medical University of South Carolina Genomic Center (Charleston, SC, USA). 100–200 ng of total RNA was used to prepare RNA-Seq libraries using the TruSeq® Stranded Total RNA RiboZero Sample Prep Kit (Illumina, San Diego, CA, USA) following the protocol as described by the manufacturer. Paired-end cluster generation was performed on the cBot as described by the manufacturer (Illumina, San Diego, CA, USA). Clustered RNA-seq libraries were paired-end sequenced with 2 × 125 cycles on an Illumina HiSeq2500 using v4 chemistry. Demultiplexing from base calls was performed utilizing Illumina’s bcl2fastq software to generate FASTQ files. The sequenced reads for each sample were obtained as FASTQ files. After performing sample QC on raw FASTQ files, determining any necessary trimming that may be required using FASTQC and applying some internally developed scripts, reads were aligned to Human Reference Genome (hg19) using HISAT2 that uses the Hierarchical Graph FM index (HGFM). VARSCAN2, and ANNOVAR were used for variant calling and annotation respectively. A false positive-filter was applied to all variants that included examination of the number of variant reads, base quality, position in read of variant, and strand bias. Variants were also filtered by AAF ≤ 0.05 in gnomAD, 1000G, NHLBI and dbSNP; additional filters were applied from SIFT, PolyPhen, MutationTaster, Mutation Assessor and CADD. Finally, we applied a phenotype filter using HPO terms to further reduce the gene list. Gene counts were imported into R (version 3.3.2) using featureCounts [30]) from the Rsubread package. Normalization and differential expression analysis was performed based on the difference in gene counts between the proband and controls using DESeq2. DESeq2 estimates differential expression using a negative binomial model which has been shown to reduce false positives compared to other methods. The DESeq2 model also internally corrects for library size. The BH FDR (false discovery rate) was calculated to control for multiple hypothesis testing where the log2 fold change and Wald test adjusted p-value were also calculated for each gene. Gene set enrichment analysis was performed to identify gene ontology terms associated with altered gene expression for the comparisons performed. We filtered the results by padj ≤ 0.05, sorted by log2FoldChange and highlighted the top genes.

3. Results

We characterized a 20-year-old male patient (Figure 1A) who was diagnosed as having autism at 2 years of age and met the DSM-IV criteria [28]. High-resolution chromosome analysis revealed a normal 46, XY karyotype and chromosome morphology appeared normal by G-banding. No deletions or duplications of known or of potential significance were detected by microarray analysis using the Affymetrix CytoScan HD microarray.

Figure 1.

Figure 1

Molecular analyses of a patient with autism. (A) A partial pedigree of a family with one child with autism. Nonsynonymous variants identified in the proband and his parents are shown. Grey filled symbol, affected autism; (B) Automated sequence chromatograms showing the RAI1 gene variation (arrow) in the proband. Triplet codon (underlined) and translated amino acids are shown; (C) An alignment of a region of human RAI1 showing the highly conserved 1147R residues (in bold type) altered in the proband; (D) Schematic representation of the domains (PolyQ, PolyS, nuclear localization signals (NLS1 and NLS2) and the PHD domain) contained in the RAI1 protein. The p.R1147Q alteration identified in this study is shown in bold. In addition, the previously described and functionally tested p.R1217Q, p.Q1389R, p.Q1562R and p.S1808N mutations are depicted.

In addition to autism, the proband had other clinical features, such as cognitive impairment, motor delay, sleep disturbance, aggressive behavior, hyperactivity, and irregular eating patterns, as commonly seen in patients with the RAI1 gene deletions or mutations (Table 1). Thus, we performed next generation diagnostic panel sequencing that included the RAI1 gene and an additional 61 autosomal and X-linked genes (Table S1) known for their association with ASD and/or syndromes that include autism as a significant clinical feature. We identified two heterozygous non-synonymous alterations: a c.199G > C alteration in the Kleefstra syndrome gene (EHMT1) [31] and a c.3440G > A alteration in the RAI1 gene (Figure 1A,B). The alteration in the EHMT1 gene is predicted to cause an amino acid change from an alanine to a proline at position 67 (p.A67P). The RAI1 gene alteration is predicted to result in an amino acid change from an arginine to a glutamine at position 1147 (p.R1147Q). The alterations were not reported in the Human Gene Mutation Database or the public SNP databases including the 1000 Genome Project variation data, dbSNP, NHLBI Exome Variant Server and the Ensembl variation database. Both variants were listed in ExAC data set (allele frequency: 0.00001659; 2/120,544 and no homozygotes for the EHMT1 variant; allele frequency: 0.00001665; 2/120,118 and no homozygotes for the RAI1 variant), a compilation of unrelated individuals sequenced as part of various disease-specific and population genetic studies. Parental DNAs were analyzed by targeted Sanger sequencing. The EHMT1 gene alteration (c.199G > C, p.A67P) was inherited from the unaffected healthy father (data not shown and Figure 1A) and the proband’s unaffected healthy mother carried the wildtype EHMT1 allele (c.199G/G), suggesting a likely benign nature for this variant in the proband. The RAI1 gene variant was not identified in the healthy parents (Figure 1A,B), indicating that it had occurred de novo. The residue involved in the RAI1 p.R1147Q alteration was found to be highly conserved (Figure 1C) and located near one of the two nuclear localization signals (NLS) (Figure 1D). Bioinformatic analyses using PolyPhen2, SIFT, and CADD indicated the p.R1147Q variant to be pathogenic or not tolerated.

Table 1.

Comparison of the clinical presentation in the proband compared to SMS patients with common deletion and RAI1 mutations.

SMS Patients
Phenotypes % In Common 17p11.2 Deletion [3,5,10,16,26] % In RAI1 Mutations [3,9,10,16,26] PROBAND p.R1147Q
Craniofacial Abnormalities 100 100 -
Skeletal Abnormalities
Short stature 70–80 11 -
Scoliosis/vertebral abnormalities 73 40–50 -
Short broad hands/brachydactyly 85 88 -
Otorhinolaryngolocial
Hoarse voice 66–80 76–86 -
Hearing loss 60–68 11–33 -
Neurological
Cognitive impairment 100 100 +
Infantile hypotonia <90 50–61 -
Speech delay >90 70 + &
Motor delay >90 60–70 + &
Sleep disturbance 90 100 +
EEG abnormalities 50–66 80 Not examined
Seizures 11–30 16.6–50 +
Behavioral
Self-hugging 50–80 100 -
Onychotillomania 25–85 80–100 -
Polyembolokoilamania 25–85 75–80 -
Head banging/face slapping 70 90 -
Hand biting 80 60–71 -
Attention seeking 80–100 100 +
Aggressive behavior 55 +
Self-injurious behavior 70–90 >90 -
Hyperactivity 80 100 +
Autistic features 90(6) NR +(DSM-IV)
Other features
Cardiac defects 30 0 -
Renal/urinary tract defect 30 0 -
Obesity 18 78 -
Overeating 25 81 + #

A comparison of phenotypes between the patient described in this study and patients harboring the common 17p11.2 deletion and those with intragenic mutations within RAI1 is shown. The percentages of occurrence for each of the phenotypes are given. +, phenotype present; -, absent or not reported; &, normal development then sudden decline; #, irregular eating patterns. The percentages in the table are a summary of 77 patients harboring the common deletion and 23 of patients carrying a mutation in RAI1 [3,5,9,10,16,26].

3.1. Functional Characterization of the RAI1-p.R1147Q Mutant Protein

To examine the pathogenic potential for the RAI1 c.3440G > A variant, we characterized the hemagglutinin epitope (HA)-tagged RAI1 wild type and RAI1-p.R1147Q mutant proteins. RAI1-HA and RAI1-HA c.3440G > A clones were transiently transfected in Neuro 2a cells as described in Materials and Methods. To address whether there was a difference in stability or final molecular weight of the mutated protein, a Western blot analysis of the cell lysates was performed. In both cases, we detected a protein band of ~250 kDa, similar to the wild type RAI1 (data not shown). The subcellular localization of RAI1 p.R1147Q was evaluated by immunofluorescence against the HA epitope, in Neuro-2a cells transfected with pAlter-MAX RAI1-HA or RAI1HA c.3440G > A, respectively. No difference in the subcellular localization of the mutant RAI1 protein was observed. Both the wild type and mutant proteins were primarily localized to the nucleus (Figure 2A,B).

Figure 2.

Figure 2

In vitro evaluation of RAI1-p.R1147Q mutant. (A) Plasmid coding for the wild type or the mutant form of RAI1 was transfected in Neuro-2a cells and immunofluorescence was performed with anti-HA (green) antibody, while nuclei staining is shown with DAPI; (B) The subcellular localization (nuclear or cytoplasmic) of 200 positive cells for the immunodetection is summarized in the table; (C) The percentage of the reporter transcription activation is shown for RAI1-HA wild type (light grey column, N = 4) and p.R1147Q mutant (black column, N = 4); (D) Neuro-2a cells were co-transfected with a BDNF fused luciferase reporter plasmid, a β-galactosidase reporter plasmid, and either RAI1 wild type (white column, N = 3) or RAI1 p.R1147Q (dark grey column, N = 3). Twenty four hours post-transfection, the reporter proteins were measured from the cell lysates; (C,D) Activation of the reporter for the RAI1 wild type was considered 100% for normalization. Values represent mean ± SEM. (* = p < 0.05).

We next evaluated the transcription factor activity with co-transfection of a plasmid coding for a fusion protein GAL4 DNA binding domain-RAI1 (wild type or the mutated form) and a plasmid containing the GAL4-binding element upstream of the luciferase coding sequence [15,26,27]. RAI1-HA p.R1147Q showed an increment of 86 ± 20% of activation of luciferase activity compared to the wild type protein, which was considered to be 100% activation (Figure 2C). This change was not significant (p = 0.6), indicating that the mutated proteins retained the comparable transcription factor capacity. Together, these results indicated that the p.R1147Q variant apparently had no effect on the synthesis, subcellular localization, or transcription factor activity of the RAI1 protein.

Next, we tested the capacity of the mutant form in recognizing and activating the transcription of a reporter gene driven by a BDNF intronic enhancer sequence previously recognized as an endogenous target sequence for RAI1 [24]. This intronic sequence was cloned into the pGL3-promoter vector, which contains an SV40 promoter upstream of the luciferase coding sequence (pGL3 BDNF enhancer or enhancer/reporter plasmid). Twenty-four hours after transfection of Neuro-2a cells with the enhancer/reporter plasmid and an empty vector pAlter-Max (as control), there was an activation of 26-fold over the basal expression level of the reporter luciferase, due to the presence of endogenous RAI1 (data not shown). When the enhancer/reporter plasmid was transfected together with the construct pAlter-MAX RAI1-HA, the transcription of the luciferase gene increased ~860 fold. However, when the enhancer/reporter plasmid was co-transfected with the construct carrying the missense mutation p.R1147Q, the transcription of the luciferase gene was induced ~250 fold over the basal activity, significantly less than the wild type RAI1 protein p = 0.01 (Figure 2D), indicating a deficiency of the mutant protein to recognize the BDNF enhancer sequence.

3.2. Additional Variations and Altered Expression of Genes Related with Neurobehavioral Outcomes

In addition to autism, the clinical presentation of the proband was in part consistent with only some features of SMS. To understand whether additional genes were implicated in the final clinical presentation, we checked for other gene alterations and evaluated for abnormal expression of genes that might contribute to the final phenotype by RNA-seq comparing the proband vs. age-, sex- and race-matched normal individuals. The RAI1 mutation was confirmed by the RNA-seq data (Table S2A), indicating that the mutated allele is expressed in the proband. In addition, several other heterozygous variants of unknown significance were found in transcripts of genes related to neurobehavioral and/or neurodevelopmental phenotypes (Table S2B), adding to the growing evidence that multiple genetic changes might influence the final clinical presentation to some degree. Several of these variants (e.g., in TTI2, ASPM) were rare and bioinformatically found to be deleterious or pathogenic in nature. However, mutations in these genes were previously reported to be recessive and thus it is unlikely that any of these heterozygous variants are of clinical significance in the proband (Tables S2A and S2B) [32,33].

Table 2 lists the top differentially expressed genes between the proband sample and controls (see also Table S3). The RNA-seq analysis included only 1 patient compared to 9 matched control samples, and thus the finding of differential expressed genes needs to be undertaken with caution and requires further verification in additional similar cases. Nonetheless, among downregulated genes (adjusted p value < 0.002), interestingly enough, DST, a gene previously related with autism was found to be altered in this patient and also was found to be dysregulated in a mouse model for SMS syndrome [17]. Several additional genes also appeared to be significantly altered in their expression in the proband (Table 2 and Table S3). Functional analysis using GOrilla (http://cbl-gorilla.cs.technion.ac.il/) and DAVID [34] showed that one of the top dysregulated genes, DST, was enriched for the category of cellular component Gene Ontology term, GO:0031673 (H zone), which is a part of the contractile fiber of the A band. DST is a cytoskeletal linker protein that integrates intermediate filaments such as actin and microtubule cytoskeleton networks. Defects in this gene are associated with sensory and/or autonomic abnormalities. PTCH1, an important Hedgehog (Hh) signaling pathway receptor (OMIM *601309) gene, is also shown to be differentially expressed and was enriched with a biological process GO term GO:0010157 (response to chlorate). The Hh pathway plays an important role in embryonic development and adult stem cell functioning and thereby it remains a possibility that aberrant expression of some of these genes either directly or indirectly might influence the phenotypic expression in the proband.

Table 2.

Genes with altered expression in the proband.

Gene log2FoldChange Description p Value padj
GNG12 1.719707224 Upregulated in the Patient sample 4.81 × 10−9 5.02 × 10−5
HCP5 1.617432091 Upregulated in the Patient sample 3.37 × 10−7 0.001757018
GGACT 1.35253954 Upregulated in the Patient sample 1.74 × 10−8 0.000120784
HAPLN3 1.269895566 Upregulated in the Patient sample 2.34 × 10−5 0.044419951
ICOS 1.228236573 Upregulated in the Patient sample 2.58 × 10−9 5.02 × 10−5
TRIM26 0.991872296 Upregulated in the Patient sample 1.60 × 10−8 0.0371298
PKHD1L1 −0.998015573 Downregulated in the patient sample 8.08 × 10−7 0.002466581
DST −1.109285101 Downregulated in the patient sample 5.29 × 10−7 0.002209546
CCZ1 −1.313033217 Downregulated in the patient sample 2.33 × 10−5 0.044419951
MTRNR2L8 −1.319578464 Downregulated in the patient sample 2.83 × 10−6 0.007389326
PTCH1 −1.559860559 Downregulated in the patient sample 8.27 × 10−7 0.002466581

4. Discussion

Smith-Magenis syndrome is a neurodevelopmental disorder with a clinical presentation including craniofacial dysmorphic features, abnormalities of sleep-wake circadian rhythm, and cognitive impairment with behavioral symptoms [1]. In addition, individuals with SMS have also been described to have stereotypies, sensory integration difficulties and social communication problems consistent with select features of ASD [4,6]. Several heterozygous RAI1 gene mutations (nonsense, missense and frameshift mutations) have been found to be associated with SMS [7,8,9,10,11,12,13,14,15,16]. The RAI1 gene has also been indirectly associated with spinocerebellar ataxia (SCA2), schizophrenia, and autism [35,36,37]. Recently, a mutation in the RAI1 gene has been identified in a morbidly obese child diagnosed with ROHHAD Syndrome [38]. When neuropsychiatric behaviors are associated with a CNV, it can be difficult to ascribe them to a single gene within the CNV [20]. However, RAI1 has already been validated by several groups and studies, in humans and mice, to be responsible for the main characteristics in SMS, including some of the neurobehavioral aspects of the syndrome. Furthermore, mice carrying an inactivated Rai1 allele (Rai1+/−) showed an increase in stereotypic behaviors and abnormal social interactions when compared with wild type littermates [18], further suggesting that Rai1 is related with social behavior. We have identified a rare de novo RAI1 missense mutation, p.R1147Q, in a patient diagnosed with autism by DSM-IV. Additional clinical features present in the proband and overlapping with features present in SMS individuals (Table 1) included hyperactivity, obsessive-compulsive-like actions, aggression and irregular eating and sleep patterns. SMS can be associated with deletions in 17p11.2 or mutations in the RAI1 gene. Comparison of the clinical presentation of our patient with those carrying a common deletion in 17p11.2 or mutations in the RAI1 gene (Table 1) suggests that proband does not present with classical SMS, but is rather an atypical SMS clinical presentation. Of note, this patient carries an extra change in the EHMT1 gene that seems not to be pathogenic by in silico prediction analysis, and is shared with his father, who has not been reported to have an abnormal phenotype. EHMT1 mosaicism in apparently unaffected parents was recently found to be associated with autism spectrum disorder and neurocognitive dysfunction [39]. In our case, the mutation in EHMT1 is not mosaic in the proband or his father. However, we cannot discount that it might be adding to the final clinical phenotype in the patient. The p.R1147Q mutation was not reported in the Human Gene Mutation Database or the public SNP databases, including the 1000 Genome Project variation data, but was listed at a very low minor allele frequency (0.00001665; 2/12,0118 and no homozygotes) in the ExAC dataset. Bioinformatic analyses predicted the mutation to be pathogenic. Furthermore, the p.R1147 residue was found to be highly conserved and located near one of the two nuclear localization signals (NLS). Two main functional domains for the RAI1 protein have been defined: the N-terminal half with the transactivational activity, and the C-terminal half responsible for the nuclear localization of the protein [26]. In vitro analysis of the p.R1147Q mutant protein in Neuro-2a cells showed no altered subcellular localization or transactivational activity. Bdnf, a neurotrophic growth factor, whose reduced expression has been identified in depression, schizophrenia and obsessive-compulsive disorder in human and animal models [40], was also found to be downregulated in Rai1+/− mice [24]. A Bdnf intronic enhancer was found to be an endogenous target sequence for Rai1. We have shown that the p.R1147Q mutant protein demonstrated a significant deficiency in recognizing and activating the transcription of a reporter gene driven by the BDNF intronic enhancer. Previously identified RAI1, and functionally tested missense mutations located within the C-terminal half of RAI1—p.R1217Q, p.Q1389R, p.Q1562R and p.S1808N (Figure 1D)—produced similar effects, as they were able to induce transcription of the reporter gene driven by the BDNF intronic enhancer but significantly less than the wild-type RAI1 protein [26,27]. This suggests that all of these mutations are affecting RAI1 direct or indirect binding to DNA or interfering with the transcription factor activity regulation of the protein. Interestingly, murine Rai1 binds to the promoter region of Bdnf [22].

Transcript identification and quantification of differential gene expression by RNA-seq for clinical use has recently been proven to be a powerful tool [41]. RNA-seq of this patient sample allowed us not only to confirm that the pathogenic RAI1 allele was expressed but also to recognize that other genes, such as DST, TTI2, and ASPM that are related with neurobehavioral abnormalities, were differentially expressed or altered in the proband [14,32,33,42]. Five case-specific loss-of-function variants were identified in the DST gene following the sequencing of 215 synaptic genes in 147 cases with ASD, 273 cases with schizophrenia, and 287 controls [42]. Mutations in the TTI2 gene have been associated with autosomal recessive ID and the ASPM gene has been implicated in autosomal recessive primary microcephaly-5 [32,33]. The finding of a functionally abnormal mutation on RAI1 in a patient with ASD further supports the notion of its role in social behavioral abnormalities complementing previous findings in mice [18]. Interestingly enough, in the DECIPHER database (https://decipher.sanger.ac.uk/), we found that one of nine cases with the RAI1 SNV (1bp insertion) had autistic features in the described clinical presentation. Studies in additional subjects would be required to examine any such association. Taken together, our findings suggest that the RAI1 gene mutations may contribute to some cases of autism. In addition, the present work supports the concept of a complex genetic makeup in patients with diverse clinical presentation.

5. Conclusions

Our data shows that the RAI1 gene mutation is also responsible for atypical Smith-Magenis syndrome presentation and could be a contributing factor to the social abnormalities, and reinforces the notion that RAI1 should be considered as a candidate gene in children with autistic manifestations or social abnormalities.

Acknowledgments

We are grateful to the patient and his parents for participation in this study. We thank the Molecular and Cytogenetic Diagnostic Laboratories, Greenwood Genetic Center for providing assistance at various stages of this study. We thank Gabriel Santiago for technical assistance and Erna M.L. Stoddart for proofreading of the manuscript. The study was supported, in part, by a grant from the National Institute of Child Health and Human Development (R01-HD039331 to AKS), a grant from the Self Regional Healthcare Foundation to AKS, and funds from the South Carolina Department of Disabilities and Special Needs.

Supplementary Materials

The following are available online at http://www.mdpi.com/2079-7737/7/2/31/s1, Table S1: Genes included in the syndromic autism panel, Table S2A: Variants of unknown significance identified in transcripts of genes in the proband, Table S2B: Genes with variant of unknown significance and related to neurobehavioral and/or neurodevelopmental phenotypes, Table S3: Genes with altered expression in the proband.

Author Contributions

A.K.S. and K.W. conceived and designed the experiments; C.A., M.M.C., L.C., N.R.R., L.D.-R., performed the experiments, data collection and analysis; J.R.J. analyzed the DNA sequencing data; R.P., Y.W., F.L. analyzed the RNA-seq data; C.S., R.E.S. collected clinical sample and clinical data; A.K.S. and K.W. analyzed all data and wrote the manuscript with inputs from all authors. All authors read and approved the final manuscript.

Conflicts of Interest

The Molecular and Cytogenetic Diagnostic Laboratories at the Greenwood Genetic Center receive revenue for Next Generation Sequencing panels, microarrays, and various other genetic tests.

References

  • 1.Greenberg F., Guzzetta V., Montes de Oca-Luna R., Magenis R.E., Smith A.C., Richter S.F., Kondo I., Dobyns W.B., Patel P.I., Lupski J.R. Molecular analysis of the Smith-Magenis syndrome: A possible contiguous-gene syndrome associated with del(17)(p11.2) Am. J. Hum. Genet. 1999;49:1207–1218. [PMC free article] [PubMed] [Google Scholar]
  • 2.Smith A.C.M., Magenis R.E., Elsea S.H. Overview of Smith-Magenis Syndrome. J. Assoc. Genet. Technol. 2005;31:163–167. [PubMed] [Google Scholar]
  • 3.Edelman E.A., Girirajan S., Finucane B., Patel P.I., Lupski J.R., Smith A.C., Elsea S.H. Gender, genotype, and phenotype differences in Smith-Magenis syndrome: A meta-analysis of 105 cases. Clin. Genet. 2007;71:540–550. doi: 10.1111/j.1399-0004.2007.00815.x. [DOI] [PubMed] [Google Scholar]
  • 4.Gropman A.L., Duncan W.C., Smith A.C. Neurologic and developmental features of the Smith-Magenis syndrome (del 17p11.2) Pediatr. Neurol. 2006;34:337–350. doi: 10.1016/j.pediatrneurol.2005.08.018. [DOI] [PubMed] [Google Scholar]
  • 5.Laje G., Morse R., Richter W., Ball J., Pao M., Smith A.C. Autism spectrum features in Smith-Magenis syndrome. Am. J. Med. Genet. C Semin. Med. Genet. 2010;154C:456–462. doi: 10.1002/ajmg.c.30275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wolters P.L., Gropman A.L., Martin S.C., Smith M.R., Hildenbrand H.L., Brewer C.C., Smith A.C. Neurodevelopment of children under 3 years of age with Smith-Magenis syndrome. Pediatr. Neurol. 2009;41:250–258. doi: 10.1016/j.pediatrneurol.2009.04.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Bi W., Saifi G.M., Shaw C.J., Walz K., Fonseca P., Wilson M., Potocki L., Lupski J.R. Mutations of RAI1, a PHD-containing protein, in nondeletion patients with Smith-Magenis syndrome. Hum. Genet. 2004;115:515–524. doi: 10.1007/s00439-004-1187-6. [DOI] [PubMed] [Google Scholar]
  • 8.Bi W., Saifi G.M., Girirajan S., Shi X., Szomju B., Firth H., Magenis R.E., Potocki L., Elsea S.H., Lupski J.R. RAI1 point mutations, CAG repeat variation, and SNP analysis in non-deletion Smith-Magenis syndrome. Am. J. Med. Genet. A. 2006;140:2454–2463. doi: 10.1002/ajmg.a.31510. [DOI] [PubMed] [Google Scholar]
  • 9.Dubourg C., Bonnet-Brilhault F., Toutain A., Mignot C., Jacquette A., Dieux A., Gérard M., Beaumont-Epinette M.P., Julia S., Isidor B., et al. Identification of Nine New RAI1-Truncating Mutations in Smith-Magenis Syndrome Patients without 17p11.2 Deletions. Mol. Syndromol. 2014;5:57–64. doi: 10.1159/000357359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Girirajan S., Elsas L.J., Devriendt K., Elsea S.H. RAI1 variations in Smith-Magenis syndrome patients without 17p11.2 deletions. J. Med. Genet. 2005;42:820–828. doi: 10.1136/jmg.2005.031211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Girirajan S., Truong H.T., Blanchard C.L., Elsea S.H. A functional network module for Smith-Magenis syndrome. Clin. Genet. 2009;75:364–374. doi: 10.1111/j.1399-0004.2008.01135.x. [DOI] [PubMed] [Google Scholar]
  • 12.Potocki L., Shaw C.J., Stankiewicz P., Lupski J.R. Variability in clinical phenotype despite common chromosomal deletion in Smith-Magenis syndrome [del(17)(p11.2p11.2)] Genet. Med. 2003;5:430–434. doi: 10.1097/01.GIM.0000095625.14160.AB. [DOI] [PubMed] [Google Scholar]
  • 13.Slager R.E., Newton T.L., Vlangos C.N., Finucane B., Elsea S.H. Mutations in RAI1 associated with Smith-Magenis syndrome. Nat. Genet. 2003;33:466–468. doi: 10.1038/ng1126. [DOI] [PubMed] [Google Scholar]
  • 14.Truong H.T., Dudding T., Blanchard C.L., Elsea S.H. Frameshift mutation hotspot identified in Smith-Magenis syndrome: Case report and review of literature. BMC Med. Genet. 2010;11:142. doi: 10.1186/1471-2350-11-142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Vieira G.H., Rodriguez J.D., Carmona-Mora P., Cao L., Gamba B.F., Carvalho D.R., de Rezende Duarte A., Santos S.R., de Souza D.H., DuPont B.R., et al. Detection of classical 17p11.2 deletions, an atypical deletion and RAI1 alterations in patients with features suggestive of Smith-Magenis syndrome. Eur. J. Hum. Genet. 2012;20:148–154. doi: 10.1038/ejhg.2011.167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Vilboux T., Ciccone C., Blancato J.K., Cox G.F., Deshpande C., Introne W.J., Gahl W.A., Smith A.C., Huizing M. Molecular analysis of the Retinoic Acid Induced 1 gene (RAI1) in patients with suspected Smith-Magenis syndrome without the 17p11.2 deletion. PLoS ONE. 2011;6:e22861. doi: 10.1371/journal.pone.0022861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Ricard G., Molina J., Chrast J., Gu W., Gheldof N., Pradervand S., Schütz F., Young J.I., Lupski J.R., Reymond A., et al. Phenotypic consequences of copy number variation: Insights from Smith-Magenis and Potocki-Lupski syndrome mouse models. PLoS Biol. 2010;8:e1000543. doi: 10.1371/journal.pbio.1000543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Rao N.R., Abad C., Perez I.C., Srivastava A.K., Young J.I., Walz K. Rai1 haploinsufficiency is associated with social abnormalities in mice. Biology. 2017;6:25. doi: 10.3390/biology6020025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Walz K., Spencer C., Kaasik K., Lee C.C., Lupski J.R., Paylor R. Behavioral characterization of mouse models for Smith-Magenis syndrome and dup(17)(p11.2p11.2) Hum. Mol. Genet. 2004;13:367–378. doi: 10.1093/hmg/ddh044. [DOI] [PubMed] [Google Scholar]
  • 20.Hiroi N. Critical reappraisal of mechanistic links of copy number variants to dimensional constructs of neuropsychiatric disorders in mouse models. Psychiatry Clin. Neurosci. 2018;72:301–321. doi: 10.1111/pcn.12641. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Fragoso Y.D., Stoney P.N., Shearer K.D., Sementilli A., Nanescu S.E., Sementilli P., McCaffery P. Expression in the human brain of retinoic acid induced 1, a protein associated with neurobehavioural disorders. Brain Struct. Funct. 2015;220:1195–1203. doi: 10.1007/s00429-014-0712-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Huang W.H., Guenthner C.J., Xu J., Nguyen T., Schwarz L.A., Wilkinson A.W., Gozani O., Chang H.Y., Shamloo M., Luo L. Molecular and Neural Functions of Rai1, the Causal Gene for Smith-Magenis Syndrome. Neuron. 2016;92:392–406. doi: 10.1016/j.neuron.2016.09.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Tahir R., Kennedy A., Elsea S.H., Dickinson A.J. Retinoic acid induced-1 (Rai1) regulates craniofacial and brain development in Xenopus. Mech. Dev. 2014;133:91–104. doi: 10.1016/j.mod.2014.05.004. [DOI] [PubMed] [Google Scholar]
  • 24.Burns B., Schmidt K., Williams S.R., Kim S., Girirajan S., Elsea S.H. Rai1 haploinsufficiency causes reduced Bdnf expression resulting in hyperphagia, obesity and altered fat distribution in mice and humans with no evidence of metabolic syndrome. Hum. Mol. Genet. 2010;19:4026–4042. doi: 10.1093/hmg/ddq317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Carmona-Mora P., Walz K. Retinoic Acid Induced 1, RAI1 A Dosage Sensitive Gene Related to Neurobehavioral Alterations Including Autistic Behavior. Curr. Genom. 2010;11:607. doi: 10.2174/138920210793360952. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Carmona-Mora P., Encina C.A., Canales C.P., Cao L., Molina J., Kairath P., Young J.I., Walz K. Functional and cellular characterization of human Retinoic Acid Induced 1 (RAI1) mutations associated with Smith-Magenis Syndrome. BMC Mol. Biol. 2010;11:63. doi: 10.1186/1471-2199-11-63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Carmona-Mora P., Canales C.P., Cao L., Perez I.C., Srivastava A.K., Young J.I., Walz K. RAI1 transcription factor activity is impaired in mutants associated with Smith-Magenis Syndrome. PLoS ONE. 2012;7:E45155. doi: 10.1371/journal.pone.0045155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.American Psychiatric Association . Diagnostic and Statistical Manual of Mental Disorders: DSM-IV®-TR. 4th ed. American Psychiatric Publishing, Inc.; Washington, DC, USA: 2000. [Google Scholar]
  • 29.Ozonoff S., Boodlin-Jones B., Solomon M. Evidence-based assessment of Autism Spectrum Disorder in children and adolescents. J. Clin. Child Adolesc. Psychol. 2005;4:523–540. doi: 10.1207/s15374424jccp3403_8. [DOI] [PubMed] [Google Scholar]
  • 30.Liao Y., Smyth G.K., Shi W. featureCounts: An efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014;30:923–930. doi: 10.1093/bioinformatics/btt656. [DOI] [PubMed] [Google Scholar]
  • 31.Kleefstra T., Brunner H.G., Amiel J., Oudakker A.R., Nillesen W.M., Magee A., Geneviève D., Cormier-Daire V., van Esch H., Fryns J.P., et al. Loss-of-function mutations in euchromatin histone methyl transferase 1 (EHMT1) cause the 9q34 subtelomeric deletion syndrome. Am. J. Hum. Genet. 2006;79:370–377. doi: 10.1086/505693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Langouët M., Saadi A., Rieunier G., Moutton S., Siquier-Pernet K., Fernet M., Nitschke P., Munnich A., Stern M.H., Chaouch M., et al. Mutation in TTI2 reveals a role for triple T complex in human brain development. Hum. Mutat. 2013;34:1472–1476. doi: 10.1002/humu.22399. [DOI] [PubMed] [Google Scholar]
  • 33.Létard P., Drunat S., Vial Y., Duerinckx S., Ernault A., Amram D., Arpin S., Bertoli M., Busa T., Ceulemans B., et al. Autosomal recessive primary microcephaly due to ASPM mutations: An update. Hum. Mutat. 2018;39:319–332. doi: 10.1002/humu.23381. [DOI] [PubMed] [Google Scholar]
  • 34.Huang D.W., Sherman B.T., Tan Q., Kir J., Liu D., Bryant D., Guo Y., Stephens R., Baseler M.W., Lane H.C., et al. DAVID bioinformatics resources: Expanded annotation database and novel algorithms to better extract biology from large gene lists. Nucleic Acids Res. 2007;35:W169–W175. doi: 10.1093/nar/gkm415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Hayes S., Turecki G., Brisebois K., Lopes-Cendes I., Gaspar C., Riess O., Ranum L.P., Pulst S.M., Rouleau G.A. CAG repeat length in RAI1 is associated with age at onset variability in spinocerebellar ataxia type 2 (SCA2) Hum. Mol. Genet. 2000;9:1753–1758. doi: 10.1093/hmg/9.12.1753. [DOI] [PubMed] [Google Scholar]
  • 36.Joober R., Benkelfat C., Toulouse A., Lafrenière R.G., Lal S., Ajroud S., Turecki G., Bloom D., Labelle A., Lalonde P., et al. Analysis of 14 CAG repeat-containing genes in schizophrenia. Am. J. Med. Genet. 1999;88:694–699. doi: 10.1002/(SICI)1096-8628(19991215)88:6&#x0003c;694::AID-AJMG20&#x0003e;3.0.CO;2-I. [DOI] [PubMed] [Google Scholar]
  • 37.Van der Zwaag B., Franke L., Poot M., Hochstenbach R., Spierenburg H.A., Vorstman J.A., van Daalen E., de Jonge M.V., Verbeek N.E., Brilstra E.H., et al. Gene-network analysis identifies susceptibility genes related to glycobiology in autism. PLoS ONE. 2009;4:e5324. doi: 10.1371/journal.pone.0005324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Thaker V.V., Esteves K.M., Towne M.C., Brownstein C.A., James P.M., Crowley L., Hirschhorn J.N., Elsea S.H., Beggs A.H., Picker J., et al. Whole Exome Sequencing Identifies RAI1 Mutation in a Morbidly Obese Child Diagnosed with ROHHAD Syndrome. J. Clin. Endocrinol. Metab. 2015;100:1723–1730. doi: 10.1210/jc.2014-4215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.De Boer A., Vermeulen K., Egger J.I.M., Janzing J.G.E., de Leeuw N., Veenstra-Knol H.E., den Hollander N.S., van Bokhoven H., Staal W., Kleefstra T. EHMT1 mosaicism in apparently unaffected parents is associated with autism spectrum disorder and neurocognitive dysfunction. Mol. Autism. 2018;9:5. doi: 10.1186/s13229-018-0193-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Angelucci F., Brenè S., Mathé A.A. BDNF in schizophrenia, depression and corresponding animal models. Mol. Psychiatry. 2005;10:345–352. doi: 10.1038/sj.mp.4001637. [DOI] [PubMed] [Google Scholar]
  • 41.Cummings B.B., Marshall J.L., Tukiainen T., Lek M., Donkervoort S., Foley A.R., Bolduc V., Waddell L.B., Sandaradura S.A., O'Grady G.L., et al. Improving genetic diagnosis in Mendelian disease with transcriptome sequencing. Sci. Transl. Med. 2017;9:386. doi: 10.1126/scitranslmed.aal5209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Kenny E.M., Cormican P., Furlong S., Heron E., Kenny G., Fahey C., Kelleher E., Ennis S., Tropea D., Anney R., et al. Excess of rare novel loss-of-function variants in synaptic genes in schizophrenia and autism spectrum disorders. Mol. Psychiatry. 2014;19:872–879. doi: 10.1038/mp.2013.127. [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials


Articles from Biology are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES