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American Academy of Pediatrics
Article

Clinical Genetic Testing for Patients With Autism Spectrum Disorders

Yiping Shen, Kira A. Dies, Ingrid A. Holm, Carolyn Bridgemohan, Magdi M. Sobeih, Elizabeth B. Caronna, Karen J. Miller, Jean A. Frazier, Iris Silverstein, Jonathan Picker, Laura Weissman, Peter Raffalli, Shafali Jeste, Laurie A. Demmer, Heather K. Peters, Stephanie J. Brewster, Sara J. Kowalczyk, Beth Rosen-Sheidley, Caroline McGowan, Andrew W. Duda, Sharyn A. Lincoln, Kathryn R. Lowe, Alison Schonwald, Michael Robbins, Fuki Hisama, Robert Wolff, Ronald Becker, Ramzi Nasir, David K. Urion, Jeff M. Milunsky, Leonard Rappaport, James F. Gusella, Christopher A. Walsh, Bai-Lin Wu, David T. Miller and on behalf of the Autism Consortium Clinical Genetics/DNA Diagnostics Collaboration
Pediatrics April 2010, 125 (4) e727-e735; DOI: https://doi.org/10.1542/peds.2009-1684
Yiping Shen
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Kira A. Dies
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Ingrid A. Holm
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Carolyn Bridgemohan
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Magdi M. Sobeih
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Elizabeth B. Caronna
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Karen J. Miller
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Jean A. Frazier
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Iris Silverstein
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Jonathan Picker
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Laura Weissman
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Peter Raffalli
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Shafali Jeste
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Laurie A. Demmer
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Heather K. Peters
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Stephanie J. Brewster
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Sara J. Kowalczyk
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Beth Rosen-Sheidley
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Caroline McGowan
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Andrew W. Duda III
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Sharyn A. Lincoln
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Kathryn R. Lowe
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Alison Schonwald
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Michael Robbins
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Fuki Hisama
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Robert Wolff
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Ronald Becker
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Ramzi Nasir
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David K. Urion
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Jeff M. Milunsky
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Leonard Rappaport
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James F. Gusella
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Christopher A. Walsh
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Bai-Lin Wu
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David T. Miller
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Abstract

BACKGROUND: Multiple lines of evidence indicate a strong genetic contribution to autism spectrum disorders (ASDs). Current guidelines for clinical genetic testing recommend a G-banded karyotype to detect chromosomal abnormalities and fragile X DNA testing, but guidelines for chromosomal microarray analysis have not been established.

PATIENTS AND METHODS: A cohort of 933 patients received clinical genetic testing for a diagnosis of ASD between January 2006 and December 2008. Clinical genetic testing included G-banded karyotype, fragile X testing, and chromosomal microarray (CMA) to test for submicroscopic genomic deletions and duplications. Diagnostic yield of clinically significant genetic changes was compared.

RESULTS: Karyotype yielded abnormal results in 19 of 852 patients (2.23% [95% confidence interval (CI): 1.73%–2.73%]), fragile X testing was abnormal in 4 of 861 (0.46% [95% CI: 0.36%–0.56%]), and CMA identified deletions or duplications in 154 of 848 patients (18.2% [95% CI: 14.76%–21.64%]). CMA results for 59 of 848 patients (7.0% [95% CI: 5.5%–8.5%]) were considered abnormal, which includes variants associated with known genomic disorders or variants of possible significance. CMA results were normal in 10 of 852 patients (1.2%) with abnormal karyotype due to balanced rearrangements or unidentified marker chromosome. CMA with whole-genome coverage and CMA with targeted genomic regions detected clinically relevant copy-number changes in 7.3% (51 of 697) and 5.3% (8 of 151) of patients, respectively, both higher than karyotype. With the exception of recurrent deletion and duplication of chromosome 16p11.2 and 15q13.2q13.3, most copy-number changes were unique or identified in only a small subset of patients.

CONCLUSIONS: CMA had the highest detection rate among clinically available genetic tests for patients with ASD. Interpretation of microarray data is complicated by the presence of both novel and recurrent copy-number variants of unknown significance. Despite these limitations, CMA should be considered as part of the initial diagnostic evaluation of patients with ASD.

  • array CGH
  • aCGH
  • autism spectrum disorder
  • ASD
  • language delay
  • microdeletion
  • microduplication
  • neuropsychiatric disorders

WHAT'S KNOWN ON THIS SUBJECT:

Multiple lines of evidence indicate a strong genetic contribution to ASD. Current guidelines for clinical genetic testing recommend a G-banded karyotype to detect chromosomal abnormalities and fragile X DNA testing, but guidelines for CMA have not been established.

WHAT THIS STUDY ADDS:

We present here clinical genetic test results, including karyotype, fragile X testing, and CMA, and discuss the implications for clinical care for a large cohort of patients with ASD.

Autism is a complex neurobehavioral disorder that includes impairments in social interaction, developmental language and communication deficits, and rigid, repetitive behaviors. The Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision (DSM-IV-TR) category of pervasive developmental disorders includes autistic disorder, pervasive developmental disorder-not otherwise specified (PDD-NOS), Asperger disorder, childhood disintegrative disorder, and Rett disorder. These diagnoses are also collectively known as autism spectrum disorders (ASDs). ASD occurs in all racial, ethnic, and social groups. The prevalence of autistic disorder is ∼1 per 1000, and the prevalence of ASD is ∼6 per 1000, affecting many more males than females.1

Genetic factors increase the risk of developing ASD,2 but the specific genetic cause for an individual patient can be elusive. Autism may be a component of genetic syndromes with distinct clinical features, as in tuberous sclerosis and Rett disorder. Other syndromes are not easily recognized in young children, as in fragile X syndrome, which accounts for ∼2% of ASD cases.3 Most children with ASD do not have dysmorphic features or other medical problems associated with a recognizable genetic syndrome, and genetic testing is crucial to identifying a cause for ASD in this population.

G-banded karyotyping for chromosomal abnormalities and fragile X testing are currently recommended as first-tier genetic tests, and are abnormal in up to 5% of patients.3,4 Karyotyping will not detect submicroscopic genomic deletions and duplications or copy-number variants (CNVs) smaller than ∼5 megabases (Mb). Subtelomeric fluorescence in situ hybridization (ST-FISH) can detect submicroscopic CNVs in patients with mental retardation (MR), but authors of the largest study of ST-FISH found pathogenic changes in only 2.6% of 11 688 unselected cases of MR,5 and no changes were found by ST-FISH in 1 small study of patients with ASD.6

Array comparative genomic hybridization (array CGH) also called chromosomal microarray analysis (CMA), detects clinically significant CNVs in at least 10% of patients with a variety of developmental problems such as developmental delay, MR, and multiple congenital anomalies.7,–,9 Research studies for patients with ASD suggest a similar detection rate of ∼10% using CMA,10,–,12 but the diagnostic yield in large clinical cohorts has not been well studied. We present here clinical genetic test results, including those from karyotype, fragile X testing, and CMA, and discuss the implications for clinical care for a large cohort of patients with ASD.

METHODS

We evaluated a combined cohort of 933 patients (755 males and 178 females [ratio: 4.24:1]) (Table 1). Autistic disorder (n = 447) and PDD-NOS (n = 454) were the predominant diagnoses. A total of 461 patients, aged 13 months to 15 years and clinically diagnosed with ASD, were recruited through the Autism Consortium (AC), a research and clinical collaboration that included 5 Boston-area medical centers (see “Acknowledgments”). Protocols and consent forms were approved by the institutional review boards of each center. ASD diagnosis for patients in the AC cohort was made by the patient's referring clinician (developmental-behavioral pediatrician, neurologist, pediatric psychologist, or psychiatrist) by using the criteria for a pervasive developmental disorder as outlined by the American Psychiatric Association's DSM-IV-TR. These 461 patients completed at least 1 of 3 genetic tests, with 433 individuals completing all 3 tests, and data were entered into the registry (see Supporting Information, which is published at www.pediatrics.org/content/full/125/4/e727).

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TABLE 1

Characteristics of Patients in the AC and CHB Cohorts

Another 472 patients, aged 15 months to 22 years, were added through samples submitted for clinical genetic testing to the Children's Hospital Boston DNA Diagnostic laboratory. ASD diagnosis was based on clinical test requisition forms and medical record review to confirm that DSM-IV-TR criteria were used.

Among multiplex families, test results from only 1 affected family member were included. For cases in which only 1 sample per family was submitted for testing, we were not able to determine if the family was simplex or multiplex; thus, the overall proportion of cases from simplex versus multiplex families was not determined.

RESULTS

Patients

These patients were generally representative of the broader population of patients with ASD (Table 1), including a male/female ratio of 4.24:1 (755 males and 178 females), a roughly equal proportion of patients with autistic disorder (n = 447 [47.9%]) and PDD-NOS (n = 454 [48.7%]) and a minority of patients with Asperger disorder (n = 31 [3.3%]). Age at diagnosis ranged from 13 months to 22 years.

Genetic Testing Results

Karyotype testing identified abnormal results in 19 of 852 patients (2.23% [95% confidence interval (CI): 1.73%–2.73%]) (Table 2). CMA also detected the abnormality in 8 of 19 (42.1%) with an abnormal karyotype, but 10 of 19 (52.6%) had balanced rearrangements and appeared normal according to CMA. Patient ASD-09-009 had low-level mosaicism not detected by CMA. CMA results corrected or clarified ambiguous karyotype results by demonstrating that a 15q duplication was a clinically insignificant repetitive sequence (patient ASD-09-011) and by precisely defining cytogenetically ambiguous translocation break points (patient ASD-09-016). Fragile X testing results were abnormal for 4 patients (0.46% [95% CI: 0.36%–0.56%]) (Table 3), 2 of whom were premutation carriers.

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TABLE 2

Karyotype Results

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TABLE 3

Fragile X Testing Results

CMA was performed on 848 of 933 patients (90.9%). Most patients were tested by CMA with whole-genome coverage (697 of 848 patients [82.2%]), either Agilent (Santa Clara, CA) 244k comparative genomic hybridization arrays (589 of 848 patients [69.5%]) or Affymetrix (Santa Clara, CA) 500k or v5.0 single-nucleotide polymorphism arrays (108 of 848 patients [12.7%]). CNVs were identified in 154 of 848 patients (18.2% [95% CI: 14.76%–21.64%]). Of these, 59 of 848 (7.0% [95% CI: 5.5%–8.5%]) had results considered “abnormal” or “possibly significant,” and 95 (11.2%) had results considered variants of unknown significance (Table 4; see “Methods” for definitions). The detection rate for abnormal or possibly significant results by targeted array was 5.3% (8 of 151), and the rate for whole-genome array was 7.3% (51 of 697). Variants classified as variants of unknown significance (VUS) or benign CNVs are listed in Supporting Information.

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TABLE 4

Abnormal Chromosomal Microarray Results

Among abnormal variants, 50 of 60 (83%) were below the size range routinely detectable by karyotype (typically ∼5 Mb). Many variants were relatively large compared with the range of typical CNVs. Previous surveys of copy-number variation suggested that more than 95% of CNVs are <500 kilobases (kb),13 and more recent data with higher-resolution arrays suggested that many more “small” CNVs exist but were previously undetectable because of technologic limitations.14 Abnormal CNVs in this study had a mean size of 1896 kb and median of 546 kb (excluding 5 chromosomal aneuploidy cases), with 35 of 60 (∼58%) larger than 500 kb. VUS (Supplemental Data 2) identified in this study had smaller size (mean size: 261 kb; median: 141 kb). It should be noted that 32 of 154 patients (∼21%) had 2 abnormal CNVs or VUS, and 9 of 204 patients (4.4%) had 3 abnormal CNVs or VUS.

Secondary diagnoses were collected from physician referral notes for the AC cohort. In total, 54 of 461 individuals (12%) were noted to have MR, and of these, 12 of 54 (22%) had abnormalities detected by microarray, 2 of 54 (3.7%) by karyotype, and 3 of 54 (5.6%) by fragile X testing. In addition, 16 of 461 individuals (3.5%) were noted to have dysmorphic features, of which 10 of 16 (63%) had abnormalities detected by microarray and 2 of 16 (13%) by karyotype testing. Seizures were reported in 36 of 461 individuals (7.8%), and of these, 8 of 36 (22%) had abnormalities detected by microarray and 2 of 36 (5.6%) by karyotype testing. Those chromosomal abnormalities detected by karyotype testing were also detected by microarray analysis.

The male/female ratio in patients with abnormal CMA findings was 3.2:1 (45 males/14 females). Slightly more female patients with ASD had abnormal CMA results (14 of 157 [8.9%]) compared with male patients (45 of 691 [6.5%]). Slightly more abnormal CMA results were found among patients with autistic disorder (34 of 403 [8.4%]) than patients with PDD-NOS (25 of 414 [6.2%]). Females with autistic disorder had the highest abnormal CMA rate (8 of 82 [9.8%]). Males with autistic disorder and females with PDD-NOS had a similar abnormal CMA rate (both 8.1% [26 of 321 and 6 of 74, respectively]). Males with PDD-NOS diagnosis had the lowest abnormal CMA rate (5.5% [19 of 340]). No abnormal CMA results were reported among the small number of patients with Asperger disorder (n = 31).

The abnormal CNVs detected in this cohort are quite diverse in terms of chromosome distribution and size (Table 4). The only recurrent CNVs identified were a 1.8-Mb region of chromosome 15q13.2q13.3 (chr15:28.7Mb-30.5Mb; hg18; 2 deletions and 2 duplications) and a 600-kb region of chromosome 16p11.2 (chr16: 29.5Mb-30.1Mb; hg18; 4 deletions and 2 duplications), together accounting for 17% (10 of 59) of all abnormal CMA findings. No other recurrent CNVs were identified. Overall, CMA had a higher yield than karyotype or fragile X testing for clinical genetic testing in this large cohort of patients with ASD (Table 5).

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TABLE 5

Summary of Genetic Testing in ASD

DISCUSSION

Our findings indicate that CMA with whole-genome coverage detects more abnormalities than G-banded karyotype and fragile X DNA testing in patients with ASD, and suggest that CMA should be a first-tier test in this patient population. CMA could not entirely replace a G-banded karyotype in this patient population because of the inability of CMA to detect balanced rearrangements, but these are a small proportion of abnormal results. We identified 10 patients with a balanced rearrangement representing 1.2% of all patients tested (n = 852). If these patients had only been tested by CMA, then it is possible that a pathogenic change would be missed.

Although CMA does not detect balanced rearrangements, a significant proportion of balanced rearrangements are probably not clinically significant. The balanced pericentric inversions on chromosome 2 (patient ASD-09-002) and chromosome 9 (patients ASD-09-017 and ASD-09-018) could also occur in healthy individuals and likely are not related to ASD. In fact, the chromosome 2 inversion was maternally inherited. Chromosome 9 inversions are known polymorphisms, and also likely inherited, but parental samples were not available for testing.

We found 6 cases of balanced translocations, but they are also not necessarily pathogenic. They may be inherited from an unaffected parent, making the child a balanced carrier like the parent. Among 6 balanced translocations in our cohort, 1 patient (ASD-09-004) had the identical result as the parent, 2 cases had no parent data, and 3 cases were de novo. The de novo balanced translocations are not necessarily pathogenic, either. Balanced rearrangements are known to occur in healthy individuals, even when they interrupt a known gene. In a recent study of balanced rearrangements that interrupt a gene, approximately half (16 of 31) were found in healthy individuals.15

Pathogenic balanced rearrangements are likely to account for only a small number of ASD cases. Studies of cytogenetically balanced rearrangements in large cohorts of patients with ASD are not available, but such studies have been done for patients with MR and should be comparable. Balanced rearrangements make up only ∼10% of cytogenetically visible abnormalities in patients with developmental disabilities such as MR, meaning that only ∼0.3% of patients would have such changes.16,–,18 Although traditional karyotyping could detect these events, they represent a similarly small proportion of cases in our cohort and may or may not be related to ASD.

Patient ASD-09-009 had mosaicism for a marker chromosome that is probably of little clinical significance because (1) the level of mosaicism is low, and (2) small marker chromosomes typically contain gene-poor repetitive DNA. CMA does not contain probes from these repetitive DNA regions, and the failure of whole-genome CMA to detect this anomaly is actually evidence that the marker is repetitive DNA. Karyotype testing and CMA can detect mosaicism at the level of ∼5% to 10% abnormal cells and 30% abnormal cells, respectively. We only found 1 such example of low-level mosaicism, demonstrating that these events also occurred at low frequency in our ASD cohort.

The proportion of patients with positive results for any of the 3 tests in this study was similar to other studies on ASD, some of which were performed on research samples.3,10,11,19 Our yield for CMA was <10%, perhaps for several reasons. Whole-genome scans for copy-number variation have identified large de novo CNVs in 7% to 10% of simplex ASD families (1 child affected), 2% to 3% of multiplex families, and only 1% of control families.10,19 Our patients were added through clinical care and were not selected on the basis of simplex versus multiplex families and are, therefore, not enriched for simplex cases. Diagnostic yield of CMA may have been limited by technical factors. Some tests (∼17%) were performed on platforms that have coverage below the ability to detect all 500-kb copy-number changes. However, most of our samples (83%) were tested by Agilent 244k or Affymetrix 500k and v5.0 whole-genome arrays. The trend toward higher yield with whole-genome arrays as compared with targeted arrays has been reported by authors of other studies.7

We might have expected to find higher numbers of definite abnormal results for CMA on the basis of yields for patients with generalized MR, which are ≥10%.20,21 Our yield was lower, but our cohort of patients with ASD almost certainly contains more high-functioning individuals than a cohort of patients with MR, including 31 individuals with Asperger disorder in whom no clinically significant CNVs were identified. This suggests that yield from CMA may be lower in patients with high functioning autism, and this is consistent with other reports.22 Our cohort had a relatively low proportion of patients with secondary diagnoses known to have a high rate of abnormalities on CMA. Only 54 of 461 patients (11.7%) in the AC cohort were diagnosed with MR by medical record review. Similarly, only 16 of 461 patients (3.5%) in the AC cohort had a secondary diagnosis of multiple congenital anomalies, which was reported to have CMA abnormalities in 19.9% of patients.8 Our yield of abnormal results for fragile X testing was also lower than expected but may represent a selection bias against patients with fragile X syndrome, as has been suggested in similar studies.23 Two of these patients with fragile X syndrome were premutation carriers, but their results were included as abnormal because recent studies revealed that there may be a higher incidence of neuropsychiatric conditions, including autism, among fragile X premutation carriers.24

Our study has potential limitations. Our patients were diagnosed by clinical evaluation using DSM-IV-TR criteria. The gold standard for research studies of ASD would include the Autism Diagnostic Observation Schedule (ADOS) and the Autism Diagnostic Interview-Revised (ADI-R) in addition to meeting criteria for a pervasive developmental disorder as defined by the DSM-IV-TR. Some of the patients included in this study may not have met full research criteria for an ASD diagnosis if tested with the ADOS and ADI-R. Removing some patients from our sample on the basis of failure to meet criteria for an ASD diagnosis because of ADI-R/ADOS may actually increase the proportion of patients with an abnormality by removing patients with a milder phenotype. We cannot exclude the possibility of bias based on ascertainment of patients through tertiary care centers. These patients may be more likely to have abnormal genetic test results because they were referred because of other complicating factors such as specific family history or dysmorphic features. We did not observe a high rate of such issues, but we cannot rule out underreporting of complex features at the time of ascertainment.

The causal relationships between many of the abnormal CNVs identified in these patients with ASD and the clinical symptoms will require further study. Our conclusions about pathogenicity are based on the best current knowledge but could evolve over time.

In general, sporadic cases of autism may be more likely caused by de novo mutations.25 Inherited CNVs may also contribute to autism or autistic symptoms but may have more mild effects that could vary among family members. It is ironic that many apparently common recurrent pathogenic copy-number changes may not be de novo but exhibit decreased penetrance and variable expressivity, such as 16p11.2,15q13.2q13.3 and 1q21.26,–,29 This has important implications for recurrence risk counseling. Identifying rare de novo copy-number changes is equally important for genetic counseling.

The increased yield of CMA, especially in comparison with G-banded karyotype testing, has important clinical impact. Genetic testing can be expensive, and payers may not be willing to reimburse for 2 tests that provide similar information. In such cases, CMA would be an appropriate choice despite a small number of balanced rearrangements that would be undetectable. Although we identified slight differences in the rate of abnormal CMA results based on gender and specific ASD category, these should not influence clinical decisions about offering CMA given the small magnitude of differences and also the potential variability of diagnosis over time, particularly in young children.30,–,32 Also, other genetic testing may be indicated in select populations of patients with ASD (eg, testing for MECP2 mutations among girls with ASD and microcephaly or testing for PTEN mutations among boys or girls with ASD and macrocephaly).33,34

Establishing a clear diagnosis may lead to earlier initiation of services and consequently improve outcome.35,–,38 In most cases of ASD, some clinical symptoms are apparent before the age of 3 years, but in many cases children may not be diagnosed until they are much older.39 ASD will remain a clinical diagnosis, but identifying a clear genetic etiology is advantageous in several ways. A clear genetic diagnosis can affect patient management decisions, availability of developmental services, and accuracy of genetic counseling about recurrence risks, which may range from <5% to as high as 50% depending on the cause. A clear genetic diagnosis also spares the patient and family a diagnostic odyssey involving multiple rounds of diagnostic testing.

Specific clinical recommendations for including CMA as a first-tier test in the evaluation of patients with ASD have not kept pace with this rapidly evolving technology. Considerations for including CMA in the evaluation of children with ASD have been outlined elsewhere4,40,41 but have stopped short of recommending that CMA be offered as a first-tier genetic diagnostic test for ASD. On the basis of our results, genetic diagnosis will be missed in at least 5% of ASD cases without CMA, and our results suggest that CMA with whole-genome coverage should be adopted as a national standard of care for genetic testing among patients with ASDs.

ACKNOWLEDGMENTS

We are grateful for the support from the Nancy Lurie Marks Family Foundation (Dr Walsh), the Simons Foundation (Drs Walsh and Gusella), Autism Speaks (Dr Gusella), and the National Institutes of Health (Dr Walsh). Dr Shen holds a Young Investigator Award from the Children's Tumor Foundation and Catalyst Award from Harvard Medical School. Dr Wu holds a Fudan Scholar Research Award from Fudan University.

The AC Clinical Genetics/DNA Diagnostics Collaboration authors are (* indicates that the author is also affiliated with the AC) Children's Hospital Boston Clinician Team: Lisa Albers, MD, MPH*, MPH, Norberto Alvarez, MD, David Ansel, MD*, Marie J. Beaulieu, MS, CPNP, Gerard Berry, MD*, Michael Ching, MD, MPH*, MPH, Deyanira Corzo, MD, Frank H. Duffy, MD, Sandra Friedman, MD, MPH*, David J. Harris, MD*, Mira Irons, MD*, Amy Jost, MD, Peter Kang, MD, Sanjeev Kothare, MD, Deborah L. Marsden, MD*, Kerim Munir, MD*, Anna Maria Ocampo, MD*, Scott Pomeroy, MD, PhD*, Kiran Prasad, MD, Ann Reinhard, MS, Amy E. Roberts, MD, Cynthia M. Rooney, MD, Dean P. Sarco, MD, Joel Shulkin, MD, MPH*, Joan Stoler, MD*, Wen-Hann Tan, BMBS, and Alcy Torres, MD. The AC Clinical Genetics Team included Boston Medical Center/Boston University School of Medicine (Marilyn Augustyn, MD, Dianne Coscia, MD, William Debassio, MD, PhD, Laurie Douglass, MD, Kari Hironaka, MD, Aasma Khandekar, MD, Karl Kuban, MD, Shruti Rangnekar, MPH, Michele Rock, DO, Paul Rosman, MD, Laura Sices, MD, and Douglas Lee Vanderbilt, II, MD); Cambridge Health Alliance (Mary Corlett, PhD, and Kit Yue Wong, MD); Children's Hospital Boston (Holly Arthur, Jessica Canavan, and Karameh Hawash, MD); Harvard Medical School (Maria Cervone, MSI, Alexa McCray, PhD, and Gregory Polumbo); Massachusetts General Hospital (Margaret Bauman, MD, Timothy Buie, MD, Patricia Davis, MD, Jessica Douglas, MS, Britt Fitch, Katherine Martien, MD, Ann Neumeyer, MD, Julie O'Brien, MEd, Julia O'Rourke, PhD, David Pauls, PhD, and Jill Platko, PhD); and Tufts Medical Center (Bernadette Murphy Bentley, Lisa Berry, MS, Katherine Blakeslee, Roula Choueiri, MD, Paige Church, MD, Catherine Davis, MD, Cheryl Garganta, MD, PhD, Jodi Hoffman, MD, Mark Korson, MD, Deborah Shipman, MD, Naomi Steiner, MD, and Ludwig von Hahn, MD).

We thank the families and individuals who agreed to participate in this study, and other studies, through the recruitment efforts of the AC. The AC Clinical Genetics Team is a collaborative effort of Boston Medical Center, Children's Hospital Boston, Cambridge Health Alliance, the Massachusetts General Hospital LADDERS (Learning and Developmental Disabilities Evaluation & Rehabilitation Services) Program, and Tufts Medical Center. For technical support of CMA, we thank Va Lip, Xiaoming Sheng, Ann Reinhard, Hong Fang, Siv Tang, Hong Shao, Xiaoli Chen, Haitao Zhu, Sam Tang, and Andrew Cheng from the Genetics Diagnostic Laboratory at Children's Hospital Boston. For development of the registry database, we thank the informatics teams at Massachusetts General Hospital, led by Julia O'Rourke and David Pauls, and Harvard Medical School, led by Alexa McCray. We also thank the AC for support and enthusiasm.

Footnotes

    • Accepted October 28, 2009.
  • Address correspondence to Bai-Lin Wu, PhD, MMed, Children's Hospital Boston, 300 Longwood Ave, Farley 7, Boston, MA 02115. E-mail: bai-lin.wu{at}childrens.harvard.edu
  • Dr Shen is the first author for the DNA diagnostics team, Ms Dies is the first author for the Autism Consortium team, Dr Wu is the senior author for the DNA Diagnostics team, and Dr Miller is the senior author for the Autism Consortium team.

  • FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships relevant to this article to disclose.

  • DSM-IV-TR =
    Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision •
    PDD-NOS =
    pervasive developmental disorder-not otherwise specified •
    ASD =
    autism spectrum disorder •
    CGH =
    comparative genomic hybridization •
    CNV =
    copy-number variant •
    ST-FISH =
    subtelomeric fluorescence in situ hybridization •
    CMA =
    chromosomal microarray analysis •
    MR =
    mental retardation •
    AC =
    Autism Consortium •
    CI =
    confidence interval •
    VUS =
    variants of unknown significance •
    ADOS =
    Autism Diagnostic Observation Schedule •
    ADI-R =
    Autism Diagnostic Interview-Revised

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Clinical Genetic Testing for Patients With Autism Spectrum Disorders
Yiping Shen, Kira A. Dies, Ingrid A. Holm, Carolyn Bridgemohan, Magdi M. Sobeih, Elizabeth B. Caronna, Karen J. Miller, Jean A. Frazier, Iris Silverstein, Jonathan Picker, Laura Weissman, Peter Raffalli, Shafali Jeste, Laurie A. Demmer, Heather K. Peters, Stephanie J. Brewster, Sara J. Kowalczyk, Beth Rosen-Sheidley, Caroline McGowan, Andrew W. Duda, Sharyn A. Lincoln, Kathryn R. Lowe, Alison Schonwald, Michael Robbins, Fuki Hisama, Robert Wolff, Ronald Becker, Ramzi Nasir, David K. Urion, Jeff M. Milunsky, Leonard Rappaport, James F. Gusella, Christopher A. Walsh, Bai-Lin Wu, David T. Miller, on behalf of the Autism Consortium Clinical Genetics/DNA Diagnostics Collaboration
Pediatrics Apr 2010, 125 (4) e727-e735; DOI: 10.1542/peds.2009-1684

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Clinical Genetic Testing for Patients With Autism Spectrum Disorders
Yiping Shen, Kira A. Dies, Ingrid A. Holm, Carolyn Bridgemohan, Magdi M. Sobeih, Elizabeth B. Caronna, Karen J. Miller, Jean A. Frazier, Iris Silverstein, Jonathan Picker, Laura Weissman, Peter Raffalli, Shafali Jeste, Laurie A. Demmer, Heather K. Peters, Stephanie J. Brewster, Sara J. Kowalczyk, Beth Rosen-Sheidley, Caroline McGowan, Andrew W. Duda, Sharyn A. Lincoln, Kathryn R. Lowe, Alison Schonwald, Michael Robbins, Fuki Hisama, Robert Wolff, Ronald Becker, Ramzi Nasir, David K. Urion, Jeff M. Milunsky, Leonard Rappaport, James F. Gusella, Christopher A. Walsh, Bai-Lin Wu, David T. Miller, on behalf of the Autism Consortium Clinical Genetics/DNA Diagnostics Collaboration
Pediatrics Apr 2010, 125 (4) e727-e735; DOI: 10.1542/peds.2009-1684
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