Skip to main content
International Journal of Molecular and Cellular Medicine logoLink to International Journal of Molecular and Cellular Medicine
. 2016 Dec 5;5(4):236–245.

Analysis of Copy Number Variations in Patients with Autism Using Cytogenetic and MLPA Techniques: Report of 16p13.1p13.3 and 10q26.3 Duplications

Saghar Ghasemi Firouzabadi 1, Roshanak Vameghi 2, Roxana Kariminejad 3, Hossein Darvish 4, Susan Banihashemi 1, Mahboubeh Firouzkouhi Moghaddam 5,6, Peyman Jamali 7, Hassan Farbod Mofidi Tehrani 8, Hossein Dehghani 1, Mohammad Reza Raeisoon 9, Mehrnaz Narooie-Nejad 10, Javad Jamshidi 11, Abbas Tafakhori 12, Saeid Sadabadi 13, Farkhondeh Behjati 1,*
PMCID: PMC5353985  PMID: 28357200

Abstract

Autism is a common neuropsychiatric disorder affecting 1 in 68 children. Copy number variations (CNVs) are known to be major contributors of autism spectrum disorder (ASD). There are different whole genome or targeted techniques to identify CNVs in the patients including karyotyping, multiplex ligation-dependent probe amplification (MLPA) and array CGH. In this study, we used karyotyping and MLPA to detect CNVs in 50 Iranian patients with autism. GTG banding and 4 different MLPA kits (2 subtelomeric and 2 autism kits) were utilized. To elevate our detection rate, we selected the sporadic patients who had additional clinical features including intellectual disability, seizure, attention deficit hyperactivity disorder, and abnormal head circumference. Two out of 50 patients (4%) showed microscopic chromosome abnormalities and 5 out of 50 (10%) demonstrated copy number gains or losses using MLPA kits. Including one overlapping result between karyotype and MLPA techniques, our overall detection rate was 6 out of 50 (12%). Three out of 6 CNVs were de novo and three others were paternally inherited. Two of CNVs detected by karyotyping and MLPA tests were 16p13.1q13.3 and 10q26.3 duplications, respectively. For these two CNVs genotype and phenotype of the patients were compared with other studies. Although the pathogenicity of cytogenetic results was certain, most of MLPA results needed to be better refined using other more accurate techniques such as array CGH. Our findings suggest that it might be possible to obtain some useful information using MLPA technique but it cannot be used as a single diagnostic tool for the autism.

Key Words: Autism, MLPA, cytogejnetic, 16p13.1p13.3 duplication, 10q26.3 duplication


Nowadays it is not needed to separate autistic disorders with different names including Asperger’s disorder, autistic disorder and pervasive developmental disorder not otherwise specified (PDD-NOS). These all have been merged together under the name of autism spectrum disorder (ASD) or the autism according to the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM5) criteria. ASD is a common disorder with an estimated prevalence of 1/68, characterized by persistent deficits in social relationships and communication and restricted/repetitive patterns of behavior. Many patients also have intellectual disability (70%) or epilepsy (20-25%) (1-3).

ASD is the most heritable of all neuropsychiatric disorders (4) and genetic factors play an important role in the etiology of autism. Copy number variants are known to be major contributors with the overall rate of 10-15% in children with autism from which 3-7% are cytogenetically detectable chromosome abnorma-lities (5-8) and the remaining could be identified using molecular cytogenetic techniques (9, 10). This rate increases when autism co-occurs with other clinical features, suggesting a syndromic forms of autism (11-15). Furthermore, de novo CNVs appear to be a more common risk factor in sporadic cases of ASD (12, 16).

Almost every chromosome has been demonstrated to be involved in imbalances contributing to autism (8, 17). Although most variants are very rare and might only be reported in a single case, several chromosomal abnormalities have been recurrently reported (5). The most frequent CNVs are duplications of maternal 15q11–q13 (18), and microdeletions of 16p11.2 (16) and SHANK3 gene (on chromosome 22q13.3) (19, 20) occurring in 1-3%, 1% and 0.5-2% of ASD patients, respectively. The other recurrent CNVs include deletions of 7q11.23 (Williams syndrome locus), 22q11.2 (DiGeorge syndrome locus), 1q21.1 and 2q37 (5, 21, 22). Moreover, a significant proportion of cytogenetic abnormalities includes rearrangements of chromosome subtelomeric regions. Due to the gene richness of these regions, a variety of phenotypic abnormalities particularly intellectual disability (ID) plus autism are plausible to be resulted from subtelomeric rearrangements (23-25).

The most commonly used methods to detect subtelomeric and interstitial chromosomal rearrang-ements include GTG banding, fluorescence in situ hybridization (FISH), multiplex ligation-dependent probe amplification (MLPA), and microarray-based comparative genomic hybridization (array-CGH) (18). Out of these, cytogenetic is a cost-effective test that can detect all balanced and unbalanced rearrangements but with a size of at least 3-5 Mb. MLPA is a targeted but rapid and cost-effective method to screen subtelomeric abnormalities and recurrent copy number changes involved in autism (26).

In the present study, our purpose was to evaluate the diagnostic efficiency of cytogenetic and MLPA techniques in patients with autism. With regard to the finding that the highest occurrence of CNVs is demonstrated in singleton families (12, 16) and when ASD is associated with additional clinical features, we used these parameters in the present study to elevate the detection rate. Fifty sporadic patients in whom clinical diagnosis was confirmed for amtism were selected for the present study. All patients had associated features including ID, seizure, craniofacial and/ or other congenital ano-malies. GTG banding and MLPA analysis was per-formed for CNV detection. We utilized 4 different MLPA kits including 2 subtelomeric MLPA kits (P036, P070) to detect CNVs in subtelomeric region of all chromosomes, and 2 autism MLPA kits (P343 and P396) to identify imbalances in three recurrent autism loci (15q11-q13, 16p11 and SHANK3 gene) and also in the SHANK2, an autism candidate gene.

Materials and methods

Subjects

Clinical evaluation was carried out for the patients with ASD diagnosis. Fifty patients who met the DSM5 criteria diagnosed by pediatric neurologists specializing in autism were selected. All patients were sporadic with no family history of ASD. The selected patients had ID with one or more additional clinical features.

GTG banding

High resolution GTG banding technique was carried out using standard protocols.

MLPA

The following 4 kits were used: SALSA P070-B2 and P036-E2 human subtelomere kits contained probes for all chromosome subtelomeric regions except the short arms of the acrocentric chromosomes. The P343- C2 AUTISM-1 probemix contained probes for three chromosomal regions re-currently involved in ASD: the 15q11-q13 (inclu-ding UBE3A, GABRB3 and the 15q13 microdele-tion region with CHRNA7), the16p11 microdeletion region and the SHANK3 gene at 22q13. The P396- A1 probemix contained probes for all exons of the SHANK2 gene. MLPA analysis was performed as suggested by the manufacturer (MRC, Holland), and data analysis was carried out by Coffalyser.Net software. The MLPA test was performed twice for confirmation of abnormal changes.

Array CGH

Oligonucleotide- based microarray analysis was performed to determine the accurate size of two of the detected regions in two patients. The Blue Gnome Cyto Chip ISCA 8x60K v2.0 whole genome oligoarray was utilized and the tests were carried out according to the protocol provided by the manufacturer. Image analysis and base calling were performed using the BlueFuse Multi version 3 analysis software.

Results

Two out of 50 patients demonstrated chromo-some abnormalities (4%) including one duplication on chromosome 16p and one deletion on chromo-some 15q. Furthermore, all patients were investi-gated using 4 MLPA kits (Table 1). In one patient, different results were obtained using the subtelo-meric kits (P036 and P070) that was a consequence of different genomic location of probes in two probemixes. As a result, copy number changes were demonstrated in 4 (8%) and 3(6%) patients using P036 and P070 kits, respectively. Utilizing the P343 kit, two (4%) CNVs were observed in the patients. However, none of the patients showed SHANK2 deletions with the P396 kit. Since some of the results were overlapping (Table 2), the total detection rate utilizing cytogenetic and MLPA analysis was 12% and MLPA showed a detection rate of 10%. Out of 6 abnormalities observed in the patients, 3 were de novo and 3 were paternally inherited. Additional clinical features presented in autism patients with copy number changes are shown in Table 3.

Table 1.

MLPA results obtained using different MLPA kits

Kit name Detection rate MLPA result
P343 2/50 46,XX, mlpa(P343) 15q11.2q13.1x1 dn
46, XX, mlpa(P343) 15q13.3
P396 0/50 -----
P036 4/50 46, XX, mlpa 15q11.2 (P036)x1 dn
46, XY, mlpa 7qsubtel (p036) x3 pat
46, XY, mlpa 10qsubtel (p036) x3 dn
46, XY, mlpaXpsubtel (p036) x3 pat
P070 3/50 46, XX, mlpa 15q11.2 (P070)x1
46, XY, mlpa 7qsubtel (p070) x3 pat
46, XY, mlpaXpsubtel (p036) x3 pat
Total DR 4/50 (8%)

DR: Detection rate

Table 2.

CNVs detected using karyotype and MLPA tests

Patient code Chromosome aberration Karyotyping MLPA P036 MLPA P070 MLPA P343 MLPA P396 Pattern of inheritance
p02 16p13.1p13.3 dup + - - - - de novo
p21 15q11.2 del + + + + - de novo
p27 10qsubtel dup - + - - - de novo
P32 Xpsubtel dup - + + - - paternal
p35 15q13 dup - - - + - paternal
p36 7qsubtel dup - + + - - paternal

Table 3.

Additional clinical features in patients with CNVs

Patient Code Sex Age (yrs) ID seizure ADHD Abnormal HC Facial feature Congenital anomaly
p02 F 3 + - - Microcephaly - Hypoplastic kidney
p21 F 11 + + - Microcephaly + -
p27 M 17 + + - Microcephaly - Gastrointestinal problem, immune deficiency
P32 M 13 + - - - + Gastrointestinal problem
p35 M 7 + + + Microcephaly - -
P36 M 12 + - + - - -
Total abnormality (%) 6/6
(100%)
3/6
(50%)
2/6 (33%) 4/6
(67%)
2/6
(33%)
3/6
(50%)

Cytogenetic abnormalities

Patient one (p2) was a 3-year-old girl with autism, ID, microcephaly, hypoplastic right kidney and minor facial feature including low set hairline and broad/depressed nasal bridge. In cytogenetic study she showed a large duplication on chromosome 16p. Her karyotype was 46, XX, add(16)(p13.1) (Figure 1) and her parents had normal karyotypes. MLPA with subtelomeric and autism P343 kits containing probes for the 16p subtelomeric and 16p11.2 regions demonstrated normal results. The duplication was obviously a pathogenic copy number gain; however, even so we performed array CGH analysis to obtain more detailed information. Array CGH showed an interstitial duplication on 16p13.1p13.3 with a size of about 13 Mb (arr 16p13.11-p13.3 (2,171,514-15,048,781)x3) including 98 genes.

Fig. 1.

Fig. 1

The patient (p2) karyotype: 46,XX, add (16)(p13.1) de novo

Patient two (p-21) was an 11-year-old girl with autism, ID, microcephaly and seizure and no clinical diagnosis. In cytogenetic study, she showed a deletion on chromosome 15q deleting the nearest cytoband to the centromere (Figure 2). Her karyotype was reported as 46, XX, del(15)(q11.2). MLPA subtelomere kits confirmed the deletion in 15q11.2. The autism P343 kit demonstrated a deletion corresponding to 18 probes in 15q11.2 to 15q13.3 region with a size of about 3 Mb. The clinical and genetic findings were in concordance with the Angelman syndrome.

Fig. 2.

Fig. 2.

The patient (p21) karyotype: 46,XX,del(15)(q11.2)

CNVs detected by MLPA

Patient 3 (p27) was a 17-year-old boy with autism, ID, microcephaly, seizure and recurrent infections. He did not show any microscopic chromosomal abnormality. Using subtelomeric P036 kit he showed a de novo copy number gain on 10q subtelomeric region. Nevertheless, the P070 kit did not show the duplication. It was because the 10q subtelomeric probes in the two kits are designed in 2 different genes situated next to each other in 10q26.3 region: the ECHS1 gene, located in the centromeric side and the PAOX gene, located in the telomeric side, in P070 and P036 kits, respectively. The MLPA results show that the breakpoint should be somewhere between these 2 genes. The duplication size is about 200 Kb containing 8 genes: SYC1, CYP2E1, OR7M1p, OR6L2P, SPRN, MTG1, OR6L1P and PAOX. Array CGH was performed to confirm this finding and a copy number gain with a size of 237 Kb including all mentioned genes was demonstra-ted on chromosome 10q26.3. Any other clinically significant CNV was not observed using array CGH.

Patient 4 (p32) was a 13-year-old boy with autism, ID and gastrointestinal problem. Subtelomeric MLPA kits showed a copy number gain on chromosome Xp22.33 which was inherited from his normal father. In both kits the probe was located on the SHOX (short stature homeobox) gene.

Both patients 5 (p35) and 6 (p36) whose clinical manifestations are shown in Table 3, demonstrated normal karyotypes. Patient 5 showed a copy number gain on chromosome 15q13.3 inherited from his normal father using the autism P343 kit. Patient 6 showed a subtelomeric gain on chromosome 7q36.3 using both P036 and P070 MLPA kits. The CNV was inherited from his father. The patient’s father was examined by the neurologist and presented mild autism.

Discussion

ASD is a clinically and etiologically heterogeneous disorder making its diagnosis difficult in the patients. Nonetheless, CNVs including microscopic and submicroscopic chromosome imbalances have been shown to be major contributors in children with autism predominantly in patients who have additional clinical features (9, 10, 12-14). Different methods are being used for CNV detection including cytogenetic, MLPA and array CGH. In this study, our aim was to investigate CNV detection rate using cytogenetic and MLPA techniques and evaluate the diagnostic yield of these two tests in patients with ASD. We selected 50 sporadic Iranian patients with autism who had ID and at least one additional clinical feature. Out of the 50 patients, 2 (4%) showed microscopic chromosome abnorma-lity in concordance with known syndromes and 5 (10%) demonstrated submicroscopic copy number gains or losses. As one of the cytogenetic and MLPA findings overlapped, our total detection rate was 6/50 (12%). The pathogenicity of the cyto-genetic findings was clear but some of MLPA results required to be better refined using more accurate techniques to decide about the patho-genecity of CNVs. The status of the pathogenicity of the CNVs identified in our patients is described as follows.

16p13.1p13.3 duplication

Previous studies described a characteristic phenotype for all patients with 16p13.1p13.3 duplications regardless of the size or location of the duplicated regions. The clinical features included ID, facial anomalies, fingers hypoplasia and vascular anomalies (27). Regardless, according to the more recent studies, 16p13 duplications could have been divided into different CNVs causing clinically distinguishable phenotypes: 16p13.1, 16p13.2 and 16p13.3 duplications (28). Patients who carry 16p13.11 duplications (known to be a risk factor for a wide spectrum of neurodeve-lopmetal disorders) show some recurrent clinical features including intellectual disability, autism, seizure, dysmorphic feature or congenital anomalies including microcephaly, macrocephaly and heart defects (28-31). Duplications of 16p13.2 could also be associated with ASD (32). 16p13.3 duplications encompassing the Rubinstein–Taybi region can cause another recognizable syndrome (33). The patients with such microduplication display variable phenotypes with some frequently observed clinical features such as developmental delay and intellectual disability, facial features (low frontal hair line, upslanting and short palpebral fissures, broad/depressed nasal bridge, long philtrum, low set ears) and hand and foot anomalies. In some cases also, microcephaly and kidney anomaly (hypoplastic and ectopic left kidney) were reported (27, 33-35). Besides, kidney anomaly was reported in 2 patients by Digilio et al. One of them with a duplication of 12 Mb on 16p13.3p13.13 showed an ectopic left kidney and the other with a copy number gain of about 8.5 Mb on 16p13.3p13.2 demonstrated a hypoplastic left kidney. Our patient with 16p13.1p13.3 through karyotyping showed autism, ID, microcephaly and hypoplastic kidney. In comparison, some clinical features (ID and microcephaly) can be explained by each of 16p13.1 or 16p13.3 duplications. Yet, the kidney anomaly seems to be the consequence of the copy number gain of chromosome 16p13.3 and autism should be the result of 16p13.1 duplication. 16p13.2 duplication also shows association with autism and may contribute to this phenotype.

10q26.3 duplication

10q distal trisomy is a rare syndrome with a variant phenotype including ID, microcephaly, facial feature, psychomotor delay, autism, recurrent infections and cardiac, renal and skeletal anomalies. The range and severity of symptoms depends on the size of the duplicated region. In different reported cases, proximal breakpoints ranged from 10q22.3 to 10q26.3 (36-39). Still, in comparison, the size of duplication in our patient is too small. The patient p27 who presented with autism, ID, microcephaly, seizure and recurrent infections showed a copy number gain with a size of about 240 Kb using both MLPA and array CGH tests. There are 8 genes in this region: SYC1, CYP2E1, OR7M1p, OR6L2P, SPRN, MTG1, OR6L1P and PAOX. According to UCSC and SFARI databases, some of the mentioned genes including PAOX, MTG1 and SYCE1 have an expression and function in brain, from which SYCE1 has been also reported as a risk factor for autism (40). Notwithstanding, there is contradictory information on databases and literature. There are similar duplications in patients with autism reported in DECIPHER database. In addition, there is a report of a patient with autism, ID and microcephaly who showed duplication with a size of 170 Kb containing PAOX, MTG1 and SPRN genes (41). On the other hand, this copy number gain has been reported several times in DGV in normal population. Therefore this copy number gain may have no clinical significance or have pathogenic impact with an incomplete penetrance. Because of these incompatible data and lack of evidence for dosage-sensitivity of the included genes, we consider this duplication as a clinically uncertain CNV. Future studies in autism patients may elucidate the pathogenecity statement of this CNV.

Xp22.33 duplication

Different studies have shown that many genomic rearrangements occur in the subtelomeric region of Xp which can cause various disorders including autism (15, 42, 43). In spite of that, the copy number gain in our patient (p32) has been inherited from his normal father and it seems to be a benign CNV. Thus the autism and other clinical features in patient p32 are probably caused by the other copy number or single nucleotide variation(s) which need more accurate and whole genome techniques to be identified.

15q13.3 and 7qsubtel duplications

15q13.3 duplication was observed in patient p35. His normal father also demonstrated the same CNV. Duplications and deletions of this region are known as recurrent CNVs involved in ASD with an incomplete penetrance which may be passed on to the affected patients from normal parents (44). Hence, further studies are needed to determine the size and gene content of the CNV to decide about its pathogenicity status and detect the other possible genetic variant(s) in the patient’s genome. Such a variant could be a copy number and/or a single nucleotide variation with a role in ASD phenotype as a second hit. Patient p36 showed a subtelomeric gain on chromosome 7q36.3 using both P036 and P070 MLPA kits, inherited from his father. The patient’s father was examined by the neurologist and was diagnosed as having mild autism. 7q36.3 duplication has been proposed to be involved in autism etiology (45). Therefore, there is possibility for this CNV to be involved in autism phenotype in both son and father. However, MLPA cannot give information about the size of duplication and its gene content. Hence, it is necessary to use a more accurate technique such as array CGH to determine the gene content of this region.

Conclusions

Cytogenetic study defined the genetic causes in 2 (4%) patients, both of them were pathogenic CNVs. MLPA test demonstrated copy number changes in 5 (10%) patients, 4 (8%) of them were detected by subtelomeric kits and 2 (4%) others were identified by the autism P343 kit (there was one overlapping detection). The P393 kit (SHANK2 gene) did not identify any abnormality. Our findings suggest that subtelomeric MLPA kits that are recommended for chromosome analysis in patients with ID (with a detection rate of about 6%) can give some beneficial data in autistic patients especially when they show additional features including ID. We expect that the autism kits with the probes covering the most recurrent CNVs in autism, 15q11-q13 and 16p11 regions together with SHANK3 and SHANK2 genes, have a detection rate of about 2-6%. The detection rate using these kits was 1/50 (2%).

All detected CNVs but one were copy number gains. Out of 6 CNVs, three were de novo and three other were paternally inherited. One of inherited CNVs seems to be a benign CNV (Xp22.33 duplication) and the other (15q13.3 duplication) may have an incomplete penetrance. But the third CNV was 7q36.3 duplication which was inherited from the patient’s father. After further examination he showed mild autism. As a consequence, this CNV may have pathogenic impact in both son and father.

Acknowledgments

The authors gratefully acknowledge all the patients and their families for participating in this study, the laboratory team in the Genetics Research Center of University of Social Welfare and Rehabi-litation Sciences, the Cytogenetics laboratory of Sarem Women’s Hospital, and the Welfare Organi-zation of Alborz province for their assistance in the recruitment of patients. We are grateful to Iran National Science Foundation (INSF, grant Number: 92039106, MOU Number: 35907) and the Genetics Research Center of University of Social Welfare and Rehabilitation Sciences (Grant Number: 92/11/28-801/G/S/P/83) for funding this project.

Conflicts of Interest:

The authors declared no conflict of interest.

References

  • 1.Association AP, Force APAD-T. Diagnostic and statistical manual of mental disorders : DSM-5. 5th ed ed. . United States: Washington, D.C.: American Psychiatric Association; c2013. 2013 pp. [Google Scholar]
  • 2.Summ MS. Prevalence of autism spectrum disorders--Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2008. United States2012. Available from: https://www.cdc.gov/mmwr/pdf/ss/ss6103.pdf. [PubMed]
  • 3.Canitano R. Epilepsy in autism spectrum disorders. Eur Child Adolesc Psychiatry. 2007;16:61–6. doi: 10.1007/s00787-006-0563-2. [DOI] [PubMed] [Google Scholar]
  • 4.Freitag CM. The genetics of autistic disorders and its clinical relevance: a review of the literature. Mol Psychiatry. 2007;12:2–22. doi: 10.1038/sj.mp.4001896. [DOI] [PubMed] [Google Scholar]
  • 5.Martin CL, Ledbetter DH. Autism and cytogenetic abnormalities: solving autism one chromosome at a time. Curr Psychiatry Rep. 2007;9:141–7. doi: 10.1007/s11920-007-0084-9. [DOI] [PubMed] [Google Scholar]
  • 6.Castermans D, Wilquet V, Steyaert J, et al. Chromosomal anomalies in individuals with autism: a strategy towards the identification of genes involved in autism. Autism. 2004;8:141–61. doi: 10.1177/1362361304042719. [DOI] [PubMed] [Google Scholar]
  • 7.Wassink TH, Piven J, Patil SR. Chromosomal abnormalities in a clinic sample of individuals with autistic disorder. Psychiatr Genet. 2001;11:57–63. doi: 10.1097/00041444-200106000-00001. [DOI] [PubMed] [Google Scholar]
  • 8.Vorstman JA, Staal WG, van Daalen E, et al. Identification of novel autism candidate regions through analysis of reported cytogenetic abnormalities associated with autism. Mol Psychiatry. 2006;11:1, 18–28. doi: 10.1038/sj.mp.4001781. [DOI] [PubMed] [Google Scholar]
  • 9.Schaefer GB, Mendelsohn NJ. Genetics evaluation for the etiologic diagnosis of autism spectrum disorders. Genet Med. 2008;10:4–12. doi: 10.1097/GIM.0b013e31815efdd7. [DOI] [PubMed] [Google Scholar]
  • 10.Christian SL, Brune CW, Sudi J, et al. Novel submicroscopic chromosomal abnormalities detected in autism spectrum disorder. Biol Psychiatry. 2008;63:1111–7. doi: 10.1016/j.biopsych.2008.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Rosenfeld JA, Ballif BC, Torchia BS, et al. Copy number variations associated with autism spectrum disorders contribute to a spectrum of neurodevelopmental disorders. Genet Med. 2010;12:694–702. doi: 10.1097/GIM.0b013e3181f0c5f3. [DOI] [PubMed] [Google Scholar]
  • 12.Marshall CR, Noor A, Vincent JB, et al. Structural variation of chromosomes in autism spectrum disorder. Am J Hum Genet. 2008;82:477–88. doi: 10.1016/j.ajhg.2007.12.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Jacquemont ML, Sanlaville D, Redon R, et al. Array-based comparative genomic hybridisation identifies high frequency of cryptic chromosomal rearrangements in patients with syndromic autism spectrum disorders. J Med Genet. 2006;43:843–9. doi: 10.1136/jmg.2006.043166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Davis LK, Meyer KJ, Rudd DS, et al. Novel copy number variants in children with autism and additional developmental anomalies. J Neurodev Disord. 2009;1:292–301. doi: 10.1007/s11689-009-9013-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Stobbe G, Liu Y, Wu R, et al. Diagnostic yield of array comparative genomic hybridization in adults with autism spectrum disorders. Genet Med. 2014;16:70–7. doi: 10.1038/gim.2013.78. [DOI] [PubMed] [Google Scholar]
  • 16.Sebat J, Lakshmi B, Malhotra D, et al. Strong association of de novo copy number mutations with autism. Science. 2007;316:445–9. doi: 10.1126/science.1138659. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Chung BH, Tao VQ, Tso WW. Copy number variation and autism: new insights and clinical implications. J Formos Med Assoc. 2014;113:400–8. doi: 10.1016/j.jfma.2013.01.005. [DOI] [PubMed] [Google Scholar]
  • 18.Shao L, Shaw CA, Lu XY, et al. Identification of chromosome abnormalities in subtelomeric regions by microarray analysis: a study of 5,380 cases. Am J Med Genet A. 2008;146A:2242–51. doi: 10.1002/ajmg.a.32399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Betancur C, Buxbaum JD. SHANK3 haploinsufficiency: a "common" but underdiagnosed highly penetrant monogenic cause of autism spectrum disorders. Mol Autism. 2013;4:17. doi: 10.1186/2040-2392-4-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Chen BY, Zou XB, Zhang J, et al. [Copy-number variations of SHANK3 and related clinical phenotypes in children with autism] Zhonghua Er Ke Za Zhi. 2011;49:607–11. [PubMed] [Google Scholar]
  • 21.Glessner JT, Wang K, Cai G, et al. Autism genome-wide copy number variation reveals ubiquitin and neuronal genes. Nature. 2009;459:569–73. doi: 10.1038/nature07953. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Sanders SJ, Ercan-Sencicek AG, Hus V, et al. Multiple recurrent de novo CNVs, including duplications of the 7q11.23 Williams syndrome region, are strongly associated with autism. Neuron. 2011;70:863–85. doi: 10.1016/j.neuron.2011.05.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Linardopoulou EV, Williams EM, Fan Y, et al. Human subtelomeres are hot spots of interchromosomal recombination and segmental duplication. Nature. 2005;437:94–100. doi: 10.1038/nature04029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Riethman H, Ambrosini A, Paul S. Human subtelomere structure and variation. Chromosome Res. 2005;13:505–15. doi: 10.1007/s10577-005-0998-1. [DOI] [PubMed] [Google Scholar]
  • 25.Behjati F, Ghasemi Firouzabadi S, Sajedi F, et al. Identification of Chromosome Abnormalities in Subtelomeric Regions Using Multiplex Ligation Dependent Probe Amplification (MLPA) Technique in 100 Iranian Patients With Idiopathic Mental Retardation. Iran Red Crescent Med J. 2013;15:e8221. doi: 10.5812/ircmj.8221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Cai G, Edelmann L, Goldsmith JE, et al. Multiplex ligation-dependent probe amplification for genetic screening in autism spectrum disorders: efficient identification of known microduplications and identification of a novel microduplication in ASMT. BMC Med Genomics. 2008;1:50. doi: 10.1186/1755-8794-1-50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Digilio MC, Bernardini L, Capalbo A, et al. 16p subtelomeric duplication: a clinically recognizable syndrome. Eur J Hum Genet. 2009;17:1135–40. doi: 10.1038/ejhg.2009.14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Mohamed AM, Kamel A, Mahmoud W, et al. Intellectual disability secondary to a 16p13 duplication in a 1;16 translocation Extended phenotype in a four-generation family. Am J Med Genet A. 2015;167A:128–36. doi: 10.1002/ajmg.a.36834. [DOI] [PubMed] [Google Scholar]
  • 29.Ramalingam A, Zhou XG, Fiedler SD, et al. 16p13.11 duplication is a risk factor for a wide spectrum of neuropsychiatric disorders. J Hum Genet. 2011;56:541–4. doi: 10.1038/jhg.2011.42. [DOI] [PubMed] [Google Scholar]
  • 30.Tropeano M, Ahn JW, Dobson RJ, et al. Male-biased autosomal effect of 16p13.11 copy number variation in neurodevelopmental disorders. PLoS One. 2013;8:e61365. doi: 10.1371/journal.pone.0061365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Behjati F, Shafaghati Y, Firouzabadi SG, et al. M-banding characterization of a 16p11.2p13.1 tandem duplication in a child with autism, neurodevelopmental delay and dysmorphism. Eur J Med Genet. 2008;51:608–14. doi: 10.1016/j.ejmg.2008.06.007. [DOI] [PubMed] [Google Scholar]
  • 32.Shen Y, Dies KA, Holm IA, et al. Clinical genetic testing for patients with autism spectrum disorders. Pediatrics. 2010;125:e727–35. doi: 10.1542/peds.2009-1684. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Li Z, Liu J, Li H, et al. Phenotypic expansion of the interstitial 16p13.3 duplication: a case report and review of the literature. Gene. 2013;531:502–5. doi: 10.1016/j.gene.2013.09.006. [DOI] [PubMed] [Google Scholar]
  • 34.Mattina T, Palumbo O, Stallone R, et al. Interstitial 16p13.3 microduplication: case report and critical review of genotype-phenotype correlation. Eur J Med Genet. 2012;55:747–52. doi: 10.1016/j.ejmg.2012.09.006. [DOI] [PubMed] [Google Scholar]
  • 35.Demeer B, Andrieux J, Receveur A, et al. Duplication 16p13.3 and the CREBBP gene: confirmation of the phenotype. Eur J Med Genet. 2013;56:26–31. doi: 10.1016/j.ejmg.2012.09.005. [DOI] [PubMed] [Google Scholar]
  • 36.Carter MT, Dyack S, Richer J. Distal trisomy 10q syndrome: phenotypic features in a child with inverted duplicated 10q25.1-q26.3. Clin Dysmorphol. 2010;19:140–5. doi: 10.1097/MCD.0b013e3283377915. [DOI] [PubMed] [Google Scholar]
  • 37.Sun SC, Luo FW, Song HW, et al. Distal trisomy of 10q with distal monosomy of 15q due to a paternal translocation. J Int Med Res. 2009;37:1230–7. doi: 10.1177/147323000903700431. [DOI] [PubMed] [Google Scholar]
  • 38.Mahjoubi F, Akbari MT, Babamohammadi GR. Clinical features of a case with trisomy 10q and monosomy 3p resulting from a maternal balanced translocation. J Paediatr Neurol. 2008;6:273–6. [Google Scholar]
  • 39.Al-Sarraj Y, Al-Khair HA, Taha RZ, et al. Distal trisomy 10q syndrome, report of a patient with duplicated q24.31 - qter, autism spectrum disorder and unusual features. Clin Case Rep. 2014;2:201–5. doi: 10.1002/ccr3.94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Corominas R, Yang X, Lin GN, et al. Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism. Nat Commun. 2014;5:3650. doi: 10.1038/ncomms4650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Iourov IY, Vorsanova SG, Kurinnaia OS, et al. Molecular karyotyping by array CGH in a Russian cohort of children with intellectual disability, autism, epilepsy and congenital anomalies. Mol Cytogenet. 2012;5:46. doi: 10.1186/1755-8166-5-46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Liu P, Erez A, Nagamani SC, et al. Copy number gain at Xp22.31 includes complex duplication rearrangements and recurrent triplications. Hum Mol Genet. 2011;20:1975–88. doi: 10.1093/hmg/ddr078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Li F, Shen Y, Kohler U, et al. Interstitial microduplication of Xp22.31: Causative of intellectual disability or benign copy number variant? Eur J Med Genet. 2010;53:93–9. doi: 10.1016/j.ejmg.2010.01.004. [DOI] [PubMed] [Google Scholar]
  • 44.Szafranski P, Schaaf CP, Person RE, et al. Structures and molecular mechanisms for common 15q13.3 microduplications involving CHRNA7: benign or pathological? Hum Mutat. 2010;31:840–50. doi: 10.1002/humu.21284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Vacic V, McCarthy S, Malhotra D, et al. Duplications of the neuropeptide receptor gene VIPR2 confer significant risk for schizophrenia. Nature. 2011;471:499–503. doi: 10.1038/nature09884. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from International Journal of Molecular and Cellular Medicine are provided here courtesy of Babol University of Medical Sciences

RESOURCES