Introduction
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder distinguished by impaired social communication and interaction, as well as restricted, repetitive behaviors or interests [1]. Over 90% of individuals with ASD exhibit sensory abnormalities as part of their restricted, repetitive behaviors [2]. In particular, hyperacusis, or auditory hypersensitivity, has an estimated current prevalence of 37%–45% and a lifetime prevalence of 50%–70% in the ASD population, according to a recent meta-analysis [3]. Additionally, the occurrence of auditory dysfunction in ASD is supported by findings of prolonged wave latencies or delayed responses in auditory brainstem response tests in infants and children with autism, suggesting immaturity in the auditory brainstem circuits [4–6].
Genetic analysis is crucial for elucidating the underlying mechanisms of auditory dysfunction in the ASD population, which is primarily explored through knock-out studies of ASD-related genes in animal models [7–10]. Among these genes, contactin-5 (CNTN5) encodes CNTN5 that facilitates neurite outgrowth [11, 12] and synaptogenesis [13], critical functional pathways linked with ASD phenotypes [14, 15]. CNTN5 is a cell adhesion molecule anchored to the cell membrane by a glycosylphosphatidyl inositol (GPI) anchor, comprising six immunoglobulin-like domains and four fibronectin type III homologous repeats [16]. In mice, Cntn5 is prominently expressed in brain regions involved in the auditory pathway [17], and its deficiency disrupts synapse formation and triggers neuronal apoptosis during postnatal development of the auditory brainstem, consequently increasing auditory brainstem response wave latencies in the adult stage [18].
In European populations, inconsistent results for an association of rare CNTN5 variants with ASD have been reported. Mercati et al. [19] resequenced CNTN5 in 212 patients with ASD and 217 control individuals. They found a significant association between rare CNTN5 variants and ASD in 501 patients and 33 075 controls. In contrast, Murdoch et al. [20] failed to observe a significant association in 1030 patients and 942 controls. A two-stage analysis study aggregating exome and genome sequencing data from 42 607 ASD cases and 236 000 controls did not list CNTN5 as an ASD-associated gene despite identifying two rare de novo mutations in this gene [21]. These discrepancies highlight the need for further investigation into the role of rare CNTN5 variants in ASD susceptibility.
In a Japanese population, a whole-exome sequencing (WES) study failed to find an association between rare CNTN5 variants in 309 ASD cases and 299 controls [22]. Here, we performed a four-stage study to investigate the association between rare putatively damaging CNTN5 variants and ASD in a Japanese population. In the first stage, we resequenced coding regions of CNTN5 in 302 patients with ASD. In the second stage, we genotyped rare putatively damaging CNTN5 variants in 313 patients with ASD and 1065 controls. In the third stage, we performed an association study between rare putatively damaging CNTN5 variants and ASD in 614 patients and 61 057 controls. In the fourth stage, we conducted a chart review to obtain clinical information from the patients carrying rare putatively damaging CNTN5 variants.
Methods
Participants
We enrolled 302 patients with ASD to resequence CNTN5 coding regions for variant screening (Table 1). Then, we genotyped the variants prioritized via resequencing in 313 patients with ASD and 1065 control individuals. At this genotyping stage, 191 ASD samples overlapped with those previously included in the study by Kimura et al. [22]. There was no overlap between the individuals with ASD in the resequencing and genotyping processes. Child psychiatrists established the ASD diagnosis based on the criteria for ASD in the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5). Control individuals did not have any personal or familial history of psychiatric disorders among their first-degree relatives. All subjects recruited in this study were of Japanese descent.
TABLE 1 Characteristics of participants.
Characteristic | ASD | Control | |
Resequencing | Genotyping | Genotyping | |
Number of samples | 302 | 313 | 1065 |
Male (%) | 234 (77.5%) | 236 (75.4%) | 460 (43.2%) |
Age (year)a | 19.4 ± 9.5 | 19.6 ± 10.2 | 39.0 ± 12.1 |
To increase statistical power, we used additional controls by obtaining the genome or exome data of 60 000 Japanese individuals from the Tohoku Medical Megabank Organization (ToMMo) 60KJPN allele frequency panel () [23].
We examined 302 patients with ASD using the Sanger sequencing method, as described previously [24], to identify variations in the CNTN5 coding region, spanning from exon 3 to exon 25 (RefSeq accession number NM_014361). We designed custom amplification primers (Table S1) to cover this region.
The variations identified from resequencing were prioritized if they were predicted using in silico tools as deleterious variants that had a Phred score of ≥ 20 from Combined Annotation Dependent Depletion (CADD) v1.7 () [25] and categorized as possibly or probably damaging by Polymorphism Phenotyping v2 (PolyPhen-2; ) [26]. We included rare variants with a mutant allele frequency (MAF) < 0.01 in ToMMo 60KJPN. Variants with MAF < 0.01 are more likely to be deleterious and have larger effect sizes that contribute to disease risk, as these rare variants are often under negative selection, including weak and strong selection [27–29]. This cutoff enriches for variants more likely to impact complex diseases, particularly when using a combination of predictor tools. However, not all variants will show statistically significant associations because association strength depends on factors such as effect size, selection pressure, and sample size [29]. Next, the prioritized variants were investigated through a conservation analysis of human CNTN5 orthologs across different vertebrae and were compared against other human CNTN family members. This evolutionary conservation was analyzed using the Constraint-based Multiple Alignment Tool (COBALT; ) [30].
Case–Control Study
We genotyped the selected variants in 313 patients with ASD and 1065 control individuals using the TaqMan 5′-exonuclease assay (Thermo Fisher Scientific, Waltham, MA, USA; Table S2), as previously described [31]. For the case–control analysis, we combined samples from resequencing, genotyping, and acquired data from public databases, resulting in 614 ASD cases and 61 057 controls.
We excluded the variant with a genotyping call rate of less than 95% and that also deviated from Hardy–Weinberg equilibrium using the chi-square test for goodness-of-fit. To investigate the contribution of each prioritized CNTN5 variant identified through resequencing to ASD susceptibility in the Japanese population, we conducted an association analysis using Fisher's exact test. The α level was adjusted using Bonferroni correction for multiple testing. To test the joint effects of all prioritized variants in CNTN5, our combined resequencing and genotyping data (614 cases and 1057 controls) without additional controls from ToMMo 60KJPN were converted into PLINK-formatted files () [32] and then analyzed using the sequence kernel association test (SKAT; ) [33]. To estimate the statistical power of our results, we used the Genetic Power Calculator () [34] with an α level of 0.05 and assuming a disease prevalence of 0.01.
Chart Review of Patients Carrying Rare Putatively Damaging
We conducted a chart review to obtain clinical information from the medical records of patients with ASD carrying prioritized CNTN5 mutations. The information entailed the presence of hyperacusis, full-scale intellectual quotient scores, neuropsychiatric comorbidities, and family history with ASD diagnosis.
Results
The variant screening by resequencing the CNTN5 coding region in 302 patients with ASD identified 12 variants (Table 2). We prioritized three rare missense variants (W69G, I227L, L1000S) that were predicted to be probably damaging or possibly damaging using PolyPhen-2 and had CADD scores over 20. We did not include I1060L, which was predicted as benign using PolyPhen-2, or K349N, as its MAF was 0.011 in ToMMo 60KJPN. We mapped the prioritized variants onto CNTN5 protein domains (Figure 1). I227L and L1000S were located in the Immunoglobulin-like 2 (Ig2) and Fibronectin type III 4 (FN4) domains, respectively, while W69G was not localized within any known domains. All residues corresponding with our prioritized variants were conserved among distinct vertebrates (Table S3).
TABLE 2
Positiona | Alleleb | dbSNP ID | Amino acid | Genotypec | In silico analysis | Mutant allele frequency (MAF) | |
ASD | PolyPhen-2 | CADD | ToMMo 60KJPN | ||||
99 819 555 | T/G | rs10790978 | S23A | 215/86/1 | Benign | 14.76 | 0.405d |
99 819 693 | T/G | rs778655565 | W69G | 300/2/0 | Probably damaging | 21.9 | 0.0006 |
99 844 969 | G/A | rs577549789 | S132N | 301/1/0 | Benign | 7.808 | 0.003 |
99 845 151 | A/T | rs201145645 | T156S | 300/2/0 | Benign | 16.42 | 0.002 |
99 956 811 | A/C | rs771277271 | I227L | 298/4/0 | Possibly damaging | 20.5 | 0.003 |
100 061 278 | A/T | rs186615197 | K349N | 293/9/0 | Probably damaging | 22.0 | 0.011 |
100 061 356 | T/A | rs201982881 | R375= | 301/1/0 | — | 4.886 | 0.002 |
100 191 133 | A/G | rs11223168 | I530V | 266/33/3 | Benign | 15.78 | 0.068 |
100 341 174 | T/C | rs757538847 | L1000S | 301/1/0 | Possibly damaging | 23.7 | 0.003 |
100 350 849 | A/C | rs140703637 | I1060L | 299/3/0 | Benign | 22.6 | 0.002 |
100 356 152 | T/A | rs1216183 | S1079T | 129/138/35 | Benign | 0.328 | 0.388 |
100 356 197 | A/C | — | M1094L | 301/1/0 | Benign | 1.007 | — |
[IMAGE OMITTED. SEE PDF]
Next, three prioritized variants were genotyped in 313 patients with ASD and 1065 controls. The genotyping rate of the W69G variant was less than 95%, and we excluded the variant from a subsequent association analysis. There was no significant deviation from Hardy–Weinberg equilibrium in the genotype distributions of all variants (Table S4). We also excluded one ASD patient and eight controls from further analysis due to missing genotyping data for all prioritized variants.
By incorporating additional controls from ToMMo 60KJPN, we expanded our case–control analysis to include 614 cases and 61 057 controls (Table 3). A nominally significant association was detected between the I227L and ASD (p = 0.04), although this did not withstand the Bonferroni correction with an adjusted α of 0.025. Similarly, no significant association was observed between the set of prioritized CNTN5 variants and ASD using the SKAT method in 614 cases and 1057 controls (PSKAT = 0.111).
TABLE 3 Association analysis of rare putatively damaging
Variant | Allele counta | p value | Odd ratio | |||||
ASD | Control | |||||||
Resequencing | Genotyping | Combined | Genotyping | ToMMo 60KJPN | Combined | |||
I227L | 600/4 | 611/3 | 1211/7 | 2062/4 | 119 560/316 | 121 622/320 | 0.046 | 2.2 |
L1000S | 603/1 | 623/1 | 1226/2 | 2107/7 | 119 566/306 | 121 673/313 | 0.775 | 0.6 |
Clinically, most patients with ASD carrying the prioritized variants were males with sporadic ASD in the resequencing and genotyping phases (Table 4). Of the three prioritized variants, only two (I227L and L1000S) had sufficient genotyping call rates. We were able to obtain clinical information from five of seven patients carrying I227L, and hyperacusis developed in one of these patients. Similarly, one out of two patients carrying I1000L had hyperacusis. Although W69G had a low genotyping call rate, one in two patients carrying this variant complained of hyperacusis. Tabulating all available data, three out of nine (33.3%) patients with prioritized variants had hyperacusis. Regarding comorbidity, attention deficit hyperactivity disorder was observed in one patient with W69G and three patients with I227L. A patient with the L1000S mutation also had an intellectual disability as a comorbidity.
TABLE 4 Clinical characteristics ASD patients carrying rare putatively damaging
ID | Variant | Sex | Age | Hyperacusis | Full scale IQ | Comorbid | Family history |
1 | W69G | Male | 14 | Yes | 107 | No | No |
2 | Female | 26 | No | 66 | Suspected ADHD | No | |
3 | I227L | Male | 9 | No | 94 | ADHD | No |
4 | Male | 8 | No | 89 | Suspected ADHD | No | |
5 | Male | 22 | No | 87 | No | No | |
6 | Male | 44 | No | 72 | ADHD | No | |
7 | Male | 10 | Yes | NA | No | No | |
8 | Male | 24 | NA | NA | NA | NA | |
9 | Female | 42 | NA | NA | NA | NA | |
10 | L1000S | Male | 24 | Yes | 98 | No | No |
11 | Female | 20 | No | 50 | Intellectual disability | NA |
Discussion
In this study, we screened the coding region of CNTN5 in 302 Japanese patients with ASD and identified three rare putatively damaging variants. Of these, I227L was nominally associated with ASD in the analysis involving 614 ASD cases and 61 057 controls, although this association did not pass the Bonferroni correction threshold. Overall, our analysis did not provide substantial evidence for the involvement of rare putatively damaging CNTN5 variants in the genetic etiology of ASD.
CNTN5 plays a crucial role as a neuronal cell adhesion molecule during neurodevelopment by regulating neurite outgrowth [11, 12], neuronal migration [35], synaptic formation, and maturation [18]—the processes associated with ASD [36]. A study using induced pluripotent stem cells derived from patients with ASD demonstrated that the heterozygous loss of CNTN5 increases neuron excitability, indicating impaired synaptic function [37]. Although the knock-down of the Cntn5 gene in rodents did not result in behavioral abnormalities [35], it was associated with synaptic immaturity leading to auditory impairment [17, 18].
Furthermore, Mercati et al. found a significant increase in the prevalence of hyperacusis (reaching 87.5%), evaluated using objective audiometry assessments, among 24 patients with ASD carrying 12 rare missense CNTN5 variants [19]. Collectively, these findings suggest that disruptions in CNTN5 neurobiological functions may contribute to the development of hyperacusis in ASD. In the present study, the prevalence of hyperacusis, assessed by child psychiatrists using unstructured interviews, was 33.3% among nine patients with ASD carrying rare putatively damaging missense variants (W69G, I227L, and L1000S). We then performed a chart review and obtained information of hyperacusis in six of seven patients carrying the other non-prioritized rare missense variants (S132N, T156S, I1060L, and M1094L) of CNTN5. Four of those patients had hyperacusis, and thus, the prevalence of hyperacusis was 44.7% among 15 patients with ASD carrying rare missense CNTN5 variants. Moreover, subjectively reported hyperacusis observed by parents ranged from 5%–38% in Japanese patients with ASD using subjective measurement tools [38–40]. Taken together, unlike the Mercati et al. study [19] that used objective audiometry assessments that could assess latent hyperacusis in patients with ASD [41], we hypothesized that our lower hyperacusis prevalence might be due to reliance on subjective reports from unstructured interviews documented in medical records.
In the present study, we found hyperacusis in patients carrying rare putatively damaging missense variants (W69G, I227L, and L1000S), while Mercati et al. [19] observed hyperacusis in patients carrying 12 rare missense CNTN5 variants. Notably, none of the rare variants carried by patients with hyperacusis in the European cohort of the study by Mercati et al. overlapped with those found in our Japanese cohort. W69G and I227L were specifically identified in the East Asian population (gnomad v 4.1.0, ) [42], while L1000S was predominantly detected in the East Asian population, with only one occurrence in a non-East Asian individual. Of 12 rare missense CNTN5 variants carried by patients with ASD having hyperacusis in the Mercati et al. study [19], seven (D242Y, L254F, E805D, A871P, A884V, I899T, and S933F) were absent in the East Asian population, while the other five were very rare (I158M, I528T, L790I, and V935I with MAF < 0.0001 in gnomAD v4.1.0 East Asian; R837Q with MAF of 0.000055 in ToMMo 60KJPN). This lack of shared rare variants may reflect the impact of demographic history and natural selection, driving population differentiation [43–45].
The human CNTN5 gene has an alternative splicing isoform that omits 74 amino acids (Refseq accession number NM_175566.2), corresponding to the exon 4 region of the CNTN5 canonical isoform [46]. Similarly, other CNTN members also lack this region, making CNTN5 the most extended protein [46]. A previous WES study identified a de novo D96G mutation in a proband with ASD [21], while we found a W69G mutation in exon 4 of the N-terminal region of CNTN5. Although the function of this region is not well understood, a copy number variant lacking this region was found in an individual with ASD who developed hyperacusis and abnormal motor coordination [19]. The W69G variant corresponds to the substitution of tryptophan, which is large, rigid, and hydrophobic with an aromatic side chain [47], for glycine, which is small, flexible, and neutral with a side chain consisting of a single hydrogen atom [48]. This variant may cause a shift toward greater disorder, potentially altering its regional structure and function [49, 50]. This assumption should be validated through in vitro and in vivo neuron culture studies.
We excluded W69G from the association analysis due to a low genotyping call rate of less than 95% observed only in the control group, which was significantly different from that of the ASD group (p < 0.001). This discrepancy might have resulted from various technical issues, such as the low quantity or quality of DNA samples, the presence of PCR inhibitors, or pipetting errors, particularly in 4 out of 12 control group batches [51, 52]. However, we acknowledge the limitation of our study, as we were unable to reexamine these samples due to the insufficient quantity of reserved DNA and limited resources for new DNA extraction.
CNTN5 is tethered to the plasma membrane by a GPI anchor, implying that it needs to form coreceptor complexes with other transmembrane proteins to transmit signals inside the cell in the absence of an intracellular region [53, 54]. One key interacting protein is the protein tyrosine phosphatase receptor gamma (PTPRG), which binds to the Ig2 and Ig3 domains of CNTN5 at four specific sites comprising identical residues shared with other CNTNs [55, 56]. Our study identified I227L within the Ig2 domain. Notably, this variant does not occur at residues that interface with PTPRG. The I227 residue in human CNTN5 is not identical with its paralogs, which possess a serine at this position (Table S5). Several deleterious CNTN5 variants in Ig2 and Ig3 domains have been identified in patients with ASD of European descent [19, 57]. CNTN4 and CNTN6 variants within Ig2 and Ig3 domains identified in ASD cases altered neurite outgrowth and synaptogenesis, despite not substituting PTPRG contact residues [19, 58]. Functional studies are needed to examine the impact of CNTN5 variants within Ig2 and Ig3 domains on protein stability, structure, and interactions.
In the present study, we identified L1000S in the FN4 domain, which may affect protein stability due to its proximity to an N-linked glycosylation site (N1002) [59]. Notably, the Autism Sequencing Consortium () previously reported a stop-gained CNTN5 mutation (S1064X) in the same domain, exclusively found in an individual with ASD [57]. Fibronectin repeats of contactins have been reported as essential regions that facilitate binding with the members of the amyloid precursor protein family [60], although a recent study suggests that the binding site is limited to a small conserved region in the FN2 domain of CNTN5 [61].
Additionally, we identified a novel missense mutation (M1094L), which was not recorded in any genetic databases, despite a different substitution (M1094V) previously registered as rs35208161 in the same position. M1094L is located in the C-terminal GPI domain of CNTN5. The lack of this domain in CNTN4 affects its function in dendritic spine formation through membrane localization [58]. However, our novel mutation was predicted to be benign.
Our data showed an interestingly consistent interpretation of pathogenic variants between PolyPhen-2 and CADD, except for one variant. I1060L was predicted to be benign by PolyPhen-2 yet had a CADD score of 22.6. CADD incorporates conservation analysis, epigenetic modifications, functional prediction, and genetic content, and it calculated these features relative to ~9 billion single nucleotide variants in the entire genome to produce Phred scores, of which a score of above 20 indicates the top 1% of the highest Phred deleterious-proxy scores [62]. However, PolyPhen-2 uses information on variants such as multiple sequence alignment and its predicting effect on a protein structure to predict the impact of rare variants [26]. Multiple sequence alignment in particular is one of the major indicators for predicting variant classification by assessing amino acid conservation and the conservation of surrounding regions. Highly conserved amino acids and conserved regions result in a “damaging” prediction as seen in our three missense variants: W69G, I227L, and L1000S (Tables 2 and S3). However, I1060L and its surrounding region are not highly conserved in a series of species; thus, they were predicted to be benign in PolyPhen-2. Because of their algorithmic analyses, these variant predictor tools occasionally differ in their outcome despite CADD and PolyPhen-2 being among the best variant prediction tools available [63].
We considered that the relatively small sample size of 614 ASD cases and 61 057 controls represented a limitation in this study. Although we observed a nominally significant association between I227L and ASD, this finding did not pass the Bonferroni correction threshold. Assuming the MAF of I227L in the control group (0.00262) as a risk allele frequency and the odds ratio from association analysis (2.2) as the genotypic relative risk in a dominant model of inheritance, our association only reached 57% power with α of 0.05. Therefore, the sample size may explain our negative results. Another limitation of our study was that our variant screening focused solely on the coding regions, potentially overlooking significant mutations in non-coding regions such as the promoter, untranslated regions, or intronic regions of CNTN5. Of note, a whole-genome sequencing study identified a novel de novo variant (g.100072400 T > G) in a patient with ASD, located in the CNTN5 intronic enhancer region [64]. Further studies with larger sample sizes are needed to examine associations between coding and non-coding CNTN5 variants and ASD.
In conclusion, our present study does not provide evidence for the contribution of rare putatively damaging CNTN5 variants to ASD susceptibility in the Japanese population.
Author Contributions
Jun Egawa and Yuichiro Watanabe designed the study. Abdul Fuad Hadi and Reza K. Arta performed resequencing, genotyping, and the statistical analyses. Jun Egawa and Itaru Kushima collected clinical data. Abdul Fuad Hadi, Reza K. Arta, Jun Egawa, and Yuichiro Watanabe wrote the first draft of the manuscript. Norio Ozaki and Toshiyuki Someya directed the project. All authors contributed to the revision of the manuscript and approved the final manuscript.
Acknowledgments
The authors greatly appreciate the involvement of all participants, their families, and the healthy individuals in this study. We also thank Ms. Yamazaki and Dr. Lasham Di Ja for their excellent technical assistance.
Ethics Statement
The protocol for this study received approval from the Ethics Committee on Genetics of Niigata University School of Medicine (Approval No. G2018-0002) and was conducted following the Declaration of Helsinki.
Consent
Written informed consent was obtained from all participants and/or their families.
Conflicts of Interest
The authors declare no conflicts of interest.
Data Availability Statement
We are not able to make the individual-level raw data available to readers because we do not have permission from the participating institutions to do so.
American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders (DSM‐5),
S. R. Leekam, C. Nieto, S. J. Libby, L. Wing, and J. Gould, “Describing the Sensory Abnormalities of Children and Adults With Autism,” Journal of Autism and Developmental Disorders 37, no. 5 (2007): 894–910.
Z. J. Williams, E. Suzman, and T. G. Woynaroski, “Prevalence of Decreased Sound Tolerance (Hyperacusis) in Individuals With Autism Spectrum Disorder: A Meta‐Analysis,” Ear and Hearing 42, no. 5 (2021): 1137–1150.
O. Miron, D. Ari‐Even Roth, L. V. Gabis, et al., “Prolonged Auditory Brainstem Responses in Infants With Autism,” Autism Research 9, no. 6 (2016): 689–695.
O. Miron, A. L. Beam, and I. S. Kohane, “Auditory Brainstem Response in Infants and Children With Autism Spectrum Disorder: A Meta‐Analysis of Wave V,” Autism Research 11, no. 2 (2018): 355–363.
N. M. Talge, M. Adkins, P. R. Kileny, and I. Frownfelter, “Click‐Evoked Auditory Brainstem Responses and Autism Spectrum Disorder: A Meta‐Analytic Investigation of Disorder Specificity,” Pediatric Research 92, no. 1 (2022): 40–46.
K. E. Scott, A. L. Schormans, K. Y. Pacoli, C. De Oliveira, B. L. Allman, and S. Schmid, “Altered Auditory Processing, Filtering, and Reactivity in the Cntnap2 Knock‐Out Rat Model for Neurodevelopmental Disorders,” Journal of Neuroscience 38, no. 40 (2018): 8588–8604.
C. Cheng, Y. Hou, Z. Zhang, et al., “Disruption of the Autism‐Related Gene Pak1 Causes Stereocilia Disorganization, Hair Cell Loss, and Deafness in Mice,” Journal of Genetics and Genomics 48, no. 4 (2021): 324–332.
N. McChesney, J. L. Barth, J. A. Rumschlag, et al., “Peripheral Auditory Nerve Impairment in a Mouse Model of Syndromic Autism,” Journal of Neuroscience 42, no. 42 (2022): 8002–8018.
A. C. Castro and P. Monteiro, “Auditory Dysfunction in Animal Models of Autism Spectrum Disorder,” Frontiers in Molecular Neuroscience 13, no. 15 (2022): [eLocator: 845155].
J. Ogawa, S. Lee, K. Itoh, et al., “Neural Recognition Molecule NB‐2 of the Contactin/F3 Subgroup in Rat: Specificity in Neurite Outgrowth‐Promoting Activity and Restricted Expression in the Brain Regions,” Journal of Neuroscience Research 65, no. 2 (2001): 100–110.
O. Mercati, A. Danckaert, G. André‐Leroux, et al., “Contactin 4, −5 and −6 Differentially Regulate Neuritogenesis While They Display Identical PTPRG Binding Sites,” Biology Open 2, no. 3 (2013): 324–334.
Y. Shimoda, F. Koseki, M. Itoh, M. Toyoshima, and K. Watanabe, “A Cis‐Complex of NB‐2/Contactin‐5 With Amyloid Precursor‐Like Protein 1 Is Localized on the Presynaptic Membrane,” Neuroscience Letters 510, no. 2 (2012): 148–153.
D. H. Ebert and M. E. Greenberg, “Activity‐Dependent Neuronal Signalling and Autism Spectrum Disorder,” Nature 493, no. 7432 (2013): 327–337.
S. De Rubeis, X. He, A. P. Goldberg, et al., “Synaptic, Transcriptional and Chromatin Genes Disrupted in Autism,” Nature 515, no. 7526 (2014): 209–215.
J. Ogawa, H. Kaneko, T. Masuda, S. Nagata, H. Hosoya, and K. Watanabe, “Novel Neural Adhesion Molecules in the Contactin/F3 Subgroup of the Immunoglobulin Superfamily: Isolation and Characterization of cDNAs From Rat Brain,” Neuroscience Letters 218, no. 3 (1996): 173–176.
H. Li, Y. Takeda, H. Niki, et al., “Aberrant Responses to Acoustic Stimuli in Mice Deficient for Neural Recognition Molecule NB‐2,” European Journal of Neuroscience 17, no. 5 (2003): 929–936.
M. Toyoshima, K. Sakurai, K. Shimazaki, Y. Takeda, Y. Shimoda, and K. Watanabe, “Deficiency of Neural Recognition Molecule NB‐2 Affects the Development of Glutamatergic Auditory Pathways From the Ventral Cochlear Nucleus to the Superior Olivary Complex in Mouse,” Developmental Biology 336, no. 2 (2009): 192–200.
O. Mercati, G. Huguet, A. Danckaert, et al., “CNTN6 Mutations Are Risk Factors for Abnormal Auditory Sensory Perception in Autism Spectrum Disorders,” Molecular Psychiatry 22, no. 4 (2017): 625–633.
J. D. Murdoch, A. R. Gupta, S. J. Sanders, et al., “No Evidence for Association of Autism With Rare Heterozygous Point Mutations in Contactin‐Associated Protein‐Like 2 (CNTNAP2), or in Other Contactin‐Associated Proteins or Contactins,” PLoS Genetics 11, no. 1 (2015): [eLocator: e1004852].
X. Zhou, P. Feliciano, C. Shu, et al., “Integrating de Novo and Inherited Variants in 42,607 Autism Cases Identifies Mutations in New Moderate‐Risk Genes,” Nature Genetics 54, no. 9 (2022): 1305–1319.
H. Kimura, M. Nakatochi, B. Aleksic, et al., “Exome Sequencing Analysis of Japanese Autism Spectrum Disorder Case‐Control Sample Supports an Increased Burden of Synaptic Function‐Related Genes,” Translational Psychiatry 12, no. 1 (2022): 265.
S. Tadaka, J. Kawashima, E. Hishinuma, et al., “jMorp: Japanese Multi‐Omics Reference Panel Update Report 2023,” Nucleic Acids Research 52, no. D1 (2024): D622–D632.
A. Nunokawa, Y. Watanabe, N. Kaneko, et al., “The Dopamine D3 Receptor (DRD3) Gene and Risk of Schizophrenia: Case‐Control Studies and an Updated Meta‐Analysis,” Schizophrenia Research 116, no. 1 (2010): 61–67.
M. Schubach, T. Maass, L. Nazaretyan, S. Röner, and M. Kircher, “CADD v1.7: Using Protein Language Models, Regulatory CNNs and Other Nucleotide‐Level Scores to Improve Genome‐Wide Variant Predictions,” Nucleic Acids Research 52, no. D1 (2024): D1143–D1154.
I. A. Adzhubei, S. Schmidt, L. Peshkin, et al., “A Method and Server for Predicting Damaging Missense Mutations,” Nature Methods 7, no. 4 (2010): 248–249.
H. Chen, A. E. Hendricks, Y. Cheng, et al., “Comparison of Statistical Approaches to Rare Variant Analysis for Quantitative Traits,” BMC Proceedings 5, no. Suppl 9 (2011): S113.
C. Goswami, A. Chattopadhyay, and E. Y. Chuang, “Editorial: Rare Variants: Data Types and Analysis Strategies,” Annals of Translational Medicine 9, no. 12 (2021): 961.
A. L. Price, G. V. Kryukov, P. I. W. de Bakker, et al., “Pooled Association Test for Rare Variants in Exon‐Resequencing Studies,” American Journal of Human Genetics 86, no. 6 (2010): 832–838.
J. S. Papadopoulos and R. Agarwala, “COBALT: Constraint‐Based Alignment Tool for Multiple Protein Sequences,” Bioinformatics 23, no. 9 (2007): 1073–1079.
Y. Watanabe, T. Muratake, N. Kaneko, A. Nunokawa, and T. Someya, “No Association Between the Brain‐Derived Neurotrophic Factor Gene and Schizophrenia in a Japanese Population,” Schizophrenia Research 84, no. 1 (2006): 29–35.
S. Purcell, B. Neale, K. Todd‐Brown, et al., “PLINK: A Tool Set for Whole‐Genome Association and Population‐Based Linkage Analyses,” American Journal of Human Genetics 81, no. 3 (2007): 559–575.
M. C. Wu, S. Lee, T. Cai, Y. Li, M. Boehnke, and X. Lin, “Rare‐Variant Association Testing for Sequencing Data With the Sequence Kernel Association Test,” American Journal of Human Genetics 89, no. 1 (2011): 82–93.
S. Purcell, S. S. Cherny, and P. C. Sham, “Genetic Power Calculator: Design of Linkage and Association Genetic Mapping Studies of Complex Traits,” Bioinformatics 19, no. 1 (2003): 149–150.
K. T. E. Kleijer, D. van Nieuwenhuize, H. A. Spierenburg, S. Gregorio‐Jordan, M. J. H. Kas, and J. P. H. Burbach, “Structural Abnormalities in the Primary Somatosensory Cortex and a Normal Behavioral Profile in Contactin‐5 Deficient Mice,” Cell Adhesion & Migration 12, no. 1 (2018): 5–18.
A. Zuko, K. T. E. Kleijer, A. Oguro‐Ando, et al., “Contactins in the Neurobiology of Autism,” European Journal of Pharmacology 719, no. 1–3 (2013): 63–74.
E. Deneault, M. Faheem, S. H. White, et al., “CNTN5−/+ or EHMT2−/+ Human iPSC‐Derived Neurons From Individuals With Autism Develop Hyperactive Neuronal Networks,” eLife 12, no. 8 (2019): [eLocator: e40092].
N. Inada, T. Koyama, E. Inokuchi, M. Kuroda, and Y. Kamio, “Reliability and Validity of the Japanese Version of the Modified Checklist for Autism in Toddlers (M‐CHAT),” Research in Autism Spectrum Disorder 5, no. 1 (2011): 330–336.
Y. Kamio, H. Haraguchi, A. Stickley, K. Ogino, M. Ishitobi, and H. Takahashi, “Brief Report: Best Discriminators for Identifying Children With Autism Spectrum Disorder at an 18‐Month Health Check‐Up in Japan,” Journal of Autism and Developmental Disorders 45, no. 12 (2015): 4147–4153.
J. L. Matson, M. Matheis, C. O. Burns, et al., “Examining Cross‐Cultural Differences in Autism Spectrum Disorder: A Multinational Comparison From Greece, Italy, Japan, Poland, and the United States,” European Psychiatry 42 (2017): 70–76.
H. Fujihira, C. Itoi, S. Furukawa, N. Kato, and M. Kashino, “Auditory Brainstem Responses in Adults With Autism Spectrum Disorder,” Clinical Neurophysiology Practice 5, no. 6 (2021): 179–184.
S. Chen, L. C. Francioli, J. K. Goodrich, et al., “A Genomic Mutational Constraint Map Using Variation in 76,156 Human Genomes,” Nature 625, no. 7993 (2024): 92–100.
S. Gravel, B. M. Henn, R. N. Gutenkunst, et al., “Demographic History and Rare Allele Sharing Among Human Populations,” Proceedings of the National Academy of Sciences of the United States of America 108, no. 29 (2011): 11983–11988.
L. Quintana‐Murci, “Understanding Rare and Common Diseases in the Context of Human Evolution,” Genome Biology 17, no. 1 (2016): 225.
D. D. Wu and Y. P. Zhang, “Different Level of Population Differentiation Among Human Genes,” BMC Evolutionary Biology 14, no. 11 (2011): 16.
Y. Kamei, Y. Takeda, K. Teramoto, O. Tsutsumi, Y. Taketani, and K. Watanabe, “Human NB‐2 of the Contactin Subgroup Molecules: Chromosomal Localization of the Gene (CNTN5) and Distinct Expression Pattern From Other Subgroup Members,” Genomics 69, no. 1 (2000): 113–119.
L. Palego, L. Betti, A. Rossi, and G. Giannaccini, “Tryptophan Biochemistry: Structural, Nutritional, Metabolic, and Medical Aspects in Humans,” Journal of Amino Acids 2016 (2016): [eLocator: 8952520].
F. Huang and W. M. Nau, “A Conformational Flexibility Scale for Amino Acids in Peptides,” Angewandte Chemie (International Ed. in English) 42, no. 20 (2003): 2269–2272.
Y. Hu, Y. Liu, J. Jung, A. K. Dunker, and Y. Wang, “Changes in Predicted Protein Disorder Tendency May Contribute to Disease Risk,” BMC Genomics 12 (2011): S2.
R. M. Williams, Z. Obradovi, V. Mathura, et al., “The Protein Non‐folding Problem: Amino Acid Determinants of Intrinsic Order and Disorder,” Pacific Symposium on Biocomputing 6 (2001): 89–100.
Thermofisher.com, “TaqMan® SNP Genotyping Assays User Guide,” 2017 Available from, https://assets.thermofisher.com/TFS‐Assets/LSG/manuals/MAN0009593_TaqManSNP_UG.pdf.
J. Blais, S. B. Lavoie, S. Giroux, et al., “Risk of Misdiagnosis due to Allele Dropout and False‐Positive PCR Artifacts in Molecular Diagnostics: Analysis of 30,769 Genotypes,” Journal of Molecular Diagnostics 17, no. 5 (2015): 505–514.
Y. Shimoda and K. Watanabe, “Contactins: Emerging Key Roles in the Development and Function of the Nervous System,” Cell Adhesion & Migration 3, no. 1 (2009): 64–70.
A. Zuko, S. Bouyain, B. van der Zwaag, and J. P. Burbach, “Contactins: Structural Aspects in Relation to Developmental Functions in Brain Disease,” Advances in Protein Chemistry and Structural Biology 84 (2011): 143–180.
S. Bouyain and D. J. Watkins, “The Protein Tyrosine Phosphatases PTPRZ and PTPRG Bind to Distinct Members of the Contactin Family of Neural Recognition Molecules,” Proceedings of the National Academy of Sciences of the United States of America 107, no. 6 (2010): 2443–2448.
R. M. Nikolaienko, M. Hammel, V. Dubreuil, et al., “Structural Basis for Interactions Between Contactin Family Members and Protein‐Tyrosine Phosphatase Receptor Type G in Neural Tissues,” Journal of Biological Chemistry 291, no. 41 (2016): 21335–21349.
F. K. Satterstrom, J. A. Kosmicki, J. Wang, et al., “Large‐Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism,” Cell 180, no. 3 (2020): 568–584.e23.
R. Zhao, T. Zhu, Q. Liu, et al., “The Autism Risk Gene CNTN4 Modulates Dendritic Spine Formation,” Human Molecular Genetics 31, no. 2 (2021): 207–218.
H. S. Lee, Y. Qi, and W. Im, “Effects of N‐Glycosylation on Protein Conformation and Dynamics: Protein Data Bank Analysis and Molecular Dynamics Simulation Study,” Scientific Reports 9, no. 5 (2015): 8926.
M. Osterfield, R. Egelund, L. M. Young, and J. G. Flanagan, “Interaction of Amyloid Precursor Protein With Contactins and NgCAM in the Retinotectal System,” Development 135, no. 6 (2008): 1189–1199.
S. J. Karuppan, A. Vogt, Z. Fischer, et al., “Members of the Vertebrate Contactin and Amyloid Precursor Protein Families Interact Through a Conserved Interface,” Journal of Biological Chemistry 298, no. 2 (2022): [eLocator: 101541].
P. Rentzsch, D. Witten, G. M. Cooper, J. Shendure, and M. Kircher, “CADD: Predicting the Deleteriousness of Variants Throughout the Human Genome,” Nucleic Acids Research 47, no. D1 (2019): D886–D894.
V. Suybeng, F. Koeppel, A. Harle, et al., “Comparison of Pathogenicity Prediction Tools on Somatic Variants,” JMD 22, no. 12 (2020): 1383–1392.
B. Trost, B. Thiruvahindrapuram, A. J. S. Chan, et al., “Genomic Architecture of Autism From Comprehensive Whole‐Genome Sequence Annotation,” Cell 185, no. 23 (2022): 4409–4427.e18.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2025. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
ABSTRACT
Background
Contactin‐5 (CNTN5), a neural adhesion molecule involved in synaptogenesis and synaptic maturation in the auditory pathway, has been associated with the pathophysiology of autism spectrum disorder (ASD), particularly hyperacusis. To investigate the role of rare
Methods
We resequenced the
Results
Through resequencing, we prioritized three rare putatively damaging missense variants (W69G, I227L, and L1000S) in patients with ASD. Although we found a nominally significant association between the I227L variant and ASD, it did not remain significant after post hoc correction. Hyperacusis was found in three out of nine patients carrying prioritized variants.
Conclusion
This study does not provide evidence for the contribution of rare
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details


1 Department of Psychiatry, School of Medicine, and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
2 Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan, Medical Genomics Center, Nagoya University Hospital, Nagoya, Aichi, Japan
3 Department of Psychiatry, School of Medicine, and Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan, Department of Psychiatry, Uonuma Kikan Hospital, Niigata, Japan
4 Pathophysiology of Mental Disorders, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan