Literature DB >> 25333781

The clinical impact of chromosomal microarray on paediatric care in Hong Kong.

Victoria Q Tao1, Kelvin Y K Chan2, Yoyo W Y Chu1, Gary T K Mok1, Tiong Y Tan3, Wanling Yang1, So Lun Lee1, Wing Fai Tang4, Winnie W Y Tso1, Elizabeth T Lau4, Anita S Y Kan2, Mary H Tang4, Yu-Lung Lau1, Brian H Y Chung5.   

Abstract

OBJECTIVE: To evaluate the clinical impact of chromosomal microarray (CMA) on the management of paediatric patients in Hong Kong.
METHODS: We performed NimbleGen 135k oligonucleotide array on 327 children with intellectual disability (ID)/developmental delay (DD), autism spectrum disorders (ASD), and/or multiple congenital anomalies (MCAs) in a university-affiliated paediatric unit from January 2011 to May 2013. The medical records of patients were reviewed in September 2013, focusing on the pathogenic/likely pathogenic CMA findings and their "clinical actionability" based on established criteria.
RESULTS: Thirty-seven patients were reported to have pathogenic/likely pathogenic results, while 40 had findings of unknown significance. This gives a detection rate of 11% for clinically significant (pathogenic/likely pathogenic) findings. The significant findings have prompted clinical actions in 28 out of 37 patients (75.7%), while the findings with unknown significance have led to further management recommendation in only 1 patient (p < 0.001). Nineteen out of the 28 management recommendations are "evidence-based" on either practice guidelines endorsed by a professional society (n = 9, Level 1) or peer-reviewed publications making medical management recommendation (n = 10, Level 2). CMA results impact medical management by precipitating referral to a specialist (n = 24); diagnostic testing (n = 25), surveillance of complications (n = 19), interventional procedure (n = 7), medication (n = 15) or lifestyle modification (n = 12).
CONCLUSION: The application of CMA in children with ID/DD, ASD, and/or MCAs in Hong Kong results in a diagnostic yield of ∼ 11% for pathogenic/likely pathogenic results. Importantly the yield for clinically actionable results is 8.6%. We advocate using diagnostic yield of clinically actionable results to evaluate CMA as it provides information of both clinical validity and clinical utility. Furthermore, it incorporates evidence-based medicine into the practice of genomic medicine. The same framework can be applied to other genomic testing strategies enabled by next-generation sequencing.

Entities:  

Mesh:

Year:  2014        PMID: 25333781      PMCID: PMC4198120          DOI: 10.1371/journal.pone.0109629

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Chromosomal microarray (CMA) has emerged as a major tool to identify unbalanced chromosomal aberrations in children for its higher resolution compared to conventional cytogenetics and is recommended as the first-tier investigation for intellectual disability (ID)/developmental delay (DD), autism spectrum disorders (ASD) and multiple congenital anomalies (MCAs). [1]–[9] Balanced rearrangements and low-level mosaicism are generally not detectable; however, these are relatively infrequent causes of abnormal phenotypes in patients (<1%). [2] Large-scale studies in Asian populations have revealed similar detection rates compared to studies conducted in Europe and Northern America. [10]–[13] While the clinical interpretation of microarray anomalies remains an ongoing challenge, the impact of CMA results on clinical management is not well studied. Surveys of physicians showed changes in management in 70% patients with positive CMA results [14]. Multiple case reports have demonstrated the usefulness of CMA in identifying the genetic causes in patients with unknown diagnoses and in uncovering cancer susceptibility. [15]–[17] In a cohort of 1792 patients with ID, ASD and/or MCAs, management recommendations were made in 54% patients with clinically significant CMA results and 34% with findings of possible significance. [18] Riggs et al. compiled a list of 146 genomic disorders which would be detected by CMA for which there are published evidence supporting management recommendation and identified that 7% of all cases in the ISCA (International Standards for Cytogenomic Arrays) Consortium database are “clinically actionable”. [19] In a review based on 46298 cases in the laboratory database, Ellison et al found that 35% of the cases with positive CMA results were established microdeletion/microduplication syndromes, conditions with increased cancer susceptibility or other actionable conditions associated with dosage-sensitive genes. [20] Henderson et al. found that 55% of the positive CMA results prompted clinical actions in their cohort of 1780 cases. [21] Despite the growing evidence of its diagnostic yield and cost-effectiveness [22], CMA has not yet been implemented as a first-tier diagnostic test for the above mentioned conditions for children in Hong Kong. The objective of this study is to evaluate the clinical impact of CMA on the medical management of the paediatric patients in whom CMA was applied as first-tier clinical testing in Hong Kong. We study the clinical impact of CMA by evaluating the detection rate of pathogenic/likely pathogenic findings and the proportion of these findings that are clinically actionable, and the level of evidence supporting these recommendations.

Materials and Methods

Patients and Samples

From January 2011, we started to offer CMA to paediatric patients in 2 university-affiliated hospitals: Queen Mary Hospital (QMH) and the Duchess of Kent Children's Hospital (DKCH). Indications for CMA included unexplained ID/DD, ASD, or multiple MCAs after review by a clinical geneticist. Clinically recognizable syndromic conditions, e.g. Down syndrome, were confirmed by conventional cytogenetic (e.g. karyotype)/molecular tests (e.g. rapid aneuploidy detection by QF-PCR and fluorescent in-situ hybridization, FISH) instead of “first-tiered” CMA, and referred for CMA when conventional investigation showed negative results. Written informed consent for CMA was obtained from all parents/legal guardians. Clinicians or geneticists counseled the parents/guardians about the indication for the CMA, benefits and limitations of the test, methodology, reporting time and possible outcomes upon recruitment. Patients who had received prenatal CMA testing or parents who opted not to receive test result were excluded.

CMA testing and interpretation

For each patient, 3 ml of peripheral blood in EDTA bottle was sent to Prenatal Diagnostic Laboratory, Tsan Yuk Hospital (TYH). All samples were tested by NimbleGen CGX-135K arrays designed by Signature Genomics (Roche NimbleGen, Inc., Madison, WI, USA) following manufacturer's instructions. The coverage of the array has an average resolution of 140 kb across the genome and 40 kb or less in regions of clinical relevance. It evaluates over 245 known genetic syndromes and over 980 gene regions of functional significance in human development. Data were analyzed by Genoglyphix software (Signature Genomics, Spokane, USA). Genomic coordinates were based on genome build hg18. Detected copy number variants (CNVs) were systematically evaluated for its clinical significance by comparing the CNVs to information in the Signature Genomics' proprietary Genoglyphix Chromosome Aberration Database (Signature Genomics, Spokane, WA, USA), internal laboratory database at TYH and public databases [Database of Genomic Variant (DGV), International Standards for Cytogenomic Arrays Consortium Database (ISCA), Children Hospital of Philadelphia database (CHOP), Database of Chromosomal Imbalance and Phenotype in Humans using Ensembl Resources (DECIPHER)]. Categorization of CNVs was based on available phenotypes and comparison of phenotypes with genes in the region of copy gain or loss. This was done through searching Online Mendelian Inheritance in Man (OMIM), PubMed, RefSeq, the University of California Santa Cruz (UCSC) genome browser. [23] Confirmatory FISH/qPCR/conventional karyotype was performed as indicated. Parental testing was offered to aid further interpretation and classification. CNVs were classified as pathogenic, likely pathogenic, unknown/uncertain significance, or benign according to the 2011 American College of Medical Genetics (ACMG) practice guideline. [24] Only pathogenic and likely pathogenic CNVs are regarded as clinically significant.

Management actions based on clinically significant CMA result

We identified 327 patients that fulfilled our inclusion criteria on whom we have performed CMA from the period January 2011 to May 2013. Retrospective medical record review was performed in September 2013 when all the abnormal CMA results had been disclosed to the patients/families in the post-test genetic counseling session. We analyzed the detection rate of clinically significant CMA results (pathogenic or likely pathogenic) and the medical management recommendations directly based on these findings. Since the interpretation of CNVs can evolve with new evidence over a short period of time, we also evaluated CNVs classified as “benign” and “unknown significance” for comparison. A recommendation for clinical action was defined as any management recommendations prompted by CMA results including recurrent surveillance (S), specialist referral/assessment (R), diagnostic investigation (D) such as laboratory tests, ECG, diagnostic imaging studies etc., medical/surgical procedure (P), drug administration (M) (such as indication/contraindication for drug treatment), lifestyle recommendation (L) and other interventions (O) such as alternative therapies etc. [18], [19] Information on the clinically actionable genomic regions and the level of supporting evidence (Level 1 to 4) proposed by Riggs et al. [19] was used to analyze our findings. We did not include genetic counseling (for advice on reproductive options and/or prenatal diagnosis), confirmatory karyotype/QF-PCR/FISH, or parental testing which was done to clarify CNVs inheritance as countable clinical action.

Statistical Analysis

Unpaired t-test was used for comparing CNVs size between pathogenic or likely pathogenic group and unknown clinical significance group. Fisher's exact tests were used to examine any potential association between CMA outcome and patients' characteristics including age group, gender and indications for CMA. Statistical analysis was carried out using IBM SPSS Statistics software version 19. A two-tailed p-value of less than 0.05 was treated as statistically significant.

Ethics Statement

Approval was obtained from the Institutional Review Board of the University of Hong Kong and Hospital Authority of Hong Kong West Cluster. The title of the approved study is “Comparative study in prenatal/postnatal diagnostic detection using microarray technology and conventional cytogenetic analysis”, under the reference number UW10-226. Written informed consent was obtained from all parents/legal guardians.

Results

Three hundred and twenty seven patients had CMA testing in the 29 months period and all were included in our analysis. Thirty-three patients were found to have pathogenic CNVs; 4 with likely pathogenic CNVs; 40 with CNVs of unknown significance, while the rest had benign CNVs. The detection rate of clinically significant CNVs (pathogenic or likely pathogenic) was 11.3% (37/327). In the group with clinically significant findings, 22 patients had copy number loss (deletions), 9 had copy number gain (duplications), and 6 patients had both deletion and duplication. There were a total of 45 clinical significant CNVs and 6 CNVs of unknown clinical significance found in these 37 patients. Of the group with CNVs of unknown clinical significance, 11 were deletions, 26 were duplications, and 3 were both deletion and duplication. There were a total of 45 CNVs of unknown clinical significance in these 40 patients. (See Table 1 for characteristics of the patients, Table 2 for CNVs types and numbers in clinically significant CNVs and CNVs with unknown significance group.)
Table 1

Patients' characteristics and CMA findings.

[A] Number of patients with Pathogenic or Likely Pathogenic CNVs (%)[B] Number of patients with CNVs of Unknown Clinical Significance (%)[C] Number of patients with Benign CNVs (%)[A] vs [B+C] comparison (by Fisher's exact test)
Total 37/327 (11.3%)40/327 (12.2%)250/327 (76.5%)
Age p<0.001
<12 m20/37 (54.1%)4/40 (10.0%)34/250 (13.6%)
1 – 5 y10/37 (27.0%)27/40 (67.5%)164/250 (65.6%)
6 – 10 y2/37 (5.4%)6/40 (15.0%)28/250 (11.2%)
11 – 18 y4/37 (10.8%)2/40 (5.0%)20/250 (8.0%)
>18 y1/37 (2.7%)1/40 (2.5%)4/250 (1.6%)
Gender p<0.001
Male15/37 (40.5%)32/40 (80.0%)172/250 (68.8%)
Female22/37 (59.5%)8/40 (20.0%)78/250 (31.2%)
Indications (Number of total cases) p<0.001
Neurodevelopmental disorders (DD/ID/ASD) (215 cases)9/37 (24.3%)28/40 (70.0%)178/250 (71.2%)
9/215 (4.2%)* 28/215 (13.0%)* 178/215 (82.8%)*
MCA/Dysmorphism ± neurodevelopmental disorders (105 cases)26/37 (70.3%)12/40 (30.0%)67/250 (26.8%)
26/105 (24.8%)* 12/105 (11.4%)* 67/105 (63.8%)*
Others (7 cases)2/37 (5.4%)0/40 (0%)5/250 (2.0%)
2/7 (28.6%)* 0/7 (0%)* 5/7 (71.4%)*

* =  detection rate based on referring indications. Abbreviations: MCA = Multiple Congenital Anomalies; DD = Developmental Delay; ID = Intellectual Disability; ASD = Autism Spectrum Disorders; m = months old, y = years old.

Table 2

CNVs type in patients with clinically significant CNVs and patients with CNVs of unknown clinical significance.

CNVs typePatients with clinically significant CNVs (n = 37)Patients with CNVs of unknown clinical significance (n = 40)
One deletion21/3711/40
Two deletions1/370
One duplication8/3724/40
Two duplications1/372/40
Deletion and Duplication6/373/40
* =  detection rate based on referring indications. Abbreviations: MCA = Multiple Congenital Anomalies; DD = Developmental Delay; ID = Intellectual Disability; ASD = Autism Spectrum Disorders; m = months old, y = years old. Patients with clinically significant CNVs were younger (age <12 months old, p<0.001, by Fisher's exact test), more likely to be female (p<0.001, by Fisher's exact test) and also more frequently had MCA/dysmorphism as indications for CMA (p<0.001, by Fisher's exact test), compared to others (Table 1). The mean size of clinical significant CNVs (9.20 Mb±4.56 Mb, mean±95% C.I.) was larger than that of CNVs of unknown significance (0.53 Mb±0.19 Mb) (p<0.001, by unpaired t-test). Copy number loss was found more frequently in clinically significant CNVs than in CNVs of unknown clinical significance (64.4% compared to 31.1%, p = 0.003, by Fisher's exact test). Within the group of patients with clinically significant CNVs, there were patients with well-known genomic disorders including 1p36 deletion (n = 1), Wolf-Hirschhorn syndrome (n = 2), Cri du Chat syndrome (n = 2), Klinefelter syndrome (n = 1), 22q11.2 deletion (n = 2), and Williams syndrome (n = 3). CMA was offered to these patients either because their clinical features did not allow definitive diagnosis of the condition, or because they were atypical deletions or duplications that could not be detected by standard cytogenetic methods e.g. 22q11.2 deletion. [25] A few patients with interesting clinical/CMA findings in this cohort have been reported previously. [26]–[28] Recommendations for clinical management were made in 75.7% (28 out of 37) patients with significant CNVs (Table 3), and in 2.5% (1 in 40) patients with unknown significance (see discussion section for detail of this case) respectively (p<0.001 by Fisher's exact test). Specific clinical actions for the patients with significant CNVs include 19 recommendations for surveillance (S), 24 specialist referrals (R), 25 diagnostic tests (D), 7 medical/surgical procedures (P), 15 recommendations regarding drug administration (M), 12 recommendations for lifestyle modification (L). According to the criteria by Riggs et al. [19], in nine of these patients, recommendations were based on Level 1 evidence, i.e. from practice guideline endorsed by a professional society; 10 were based on Level 2 evidence, i.e. from peer-reviewed publication describing medical management recommendations; 8 were based on Level 3 evidence, i.e. from peer-reviewed publications not regarding management but implying potential management based on clinical judgment; 1 was based on Level 4 evidence, i.e. could be managed symptomatically regardless of underlying diagnosis. Of the 28 patients with recommendations made based on the CMA result, 21 of them have findings overlapping with the clinically actionable genomic regions reported by Riggs et al. in 2013. [19] In the other 7 patients, management recommendations were made for one patient with Klinefelter syndrome (Level 1 evidence), one with trisomy X syndrome (Level 2 evidence) while in the rest the recommendations were based on case series/case reports (Level 3 evidence). The overall diagnostic yield of clinically actionable abnormal CMA findings is 8.6% (28/327).
Table 3

Management recommendations for clinically significant CNVs and recommendation according to the level of evidence.

Case no.Age/SexIndicationGenomic coordinates (hg18) of CNVsCNV size and type/syndrome or locusParental TestingClinical actionLevel of evidence
1* 1m/FMCA/dyschr1: 825,513–6,489,8185.6 Mb terminal copy loss at 1p36.33–p36.31/1p36 deletionDe novoR,D,S,Mlevel 2
2* 24y/FMCA/dys +DDchr1: 825,513–3,930,371; chr10: 129,188,065–135,253,2403.1 Mb copy gain at 1p36.33–p36.32 and 6 Mb copy loss at 10q26.2–q26.3/unbalanced translocationNnono
3* 2m/FMCAchr1: 241,821,041–247,174,7285.3 Mb terminal copy loss at 1q44/1q44 deletionNR,Dlevel 3
4* 18y/MMCA+DD, cytogenetic diagnosischr3: 76,277–8,720,170; chr10: 102,474,001–135,246,4028.6 Mb terminal copy loss at 3p26.3–p25.3; 32.7 Mb terminal copy gain at 10q24.31–q26.3/unbalanced translocationNnono
5* 3y/FMCA+cytogenetic diagnosischr4: 33,860–15,640,61715.6 Mb copy loss at 4p16.3–p15.32/Wolf–Hirschhorn syndromeNR,D,P,Mlevel 2
6* 4m/MMCAchr5: 108,368–133,485; chr15: 20,372,901–37,603,95525.1 kb copy loss (UCS) at 5p15.33; 17.2 Mb copy loss at 15q11.2–q14, karyotyping showed loss of chromosome 15 segment proximal to 15q15: karyotype 45,XY,der(5)t(5;15)(p15.3;q15)dn, –15/Expanded Prader–Willi syndromeDe novoR,D,S,M,L for PWS; R,D for 15q13.3 dellevel 1 for PWS, level 2 for 15q13.3 del
7* 6d/FMCAchr5: 108,467–17,723,10717.6 Mb terminal copy loss at 5p15.33–p15.1/Cri du Chat syndromeDe novoR,D,Slevel 2
8* 7m/FMCAchr5: 108,467–1,237,565; chr5: 1,255,929–27,782,1191.13 Mb terminal copy gain at 5p15.33; 26.5 Mb copy loss at 5p15.33–p14.1/Cri du Chat syndromeNR,D,Slevel 2
9* 10m/FMCA+DD+ASDchr5: 108,467–1,597,323; chr11: 115,190,302–134,434,1301.5 Mb terminal copy loss at 5p15.33; 19.2 Mb terminal copy gain at 11q23.2–q25/unbalanced mat. translocation t(5;11)(p15.3;q23)MatR,D,Slevel 2
10* 2m/FMCAchr5: 58,860,944–59,124,691; chr7: 72,382,850–73,776,237263.7 kb copy loss (UCS) at 5q11.2–q12.1; 1.4 Mb copy loss at 7q11.23/Williams syndromeNR,D,S,M,Llevel 1
11∧3.1y/MASDchr6: 162,541,977–163,015,824473 kb copy gain at 6q26De novonono
12* 9m/FMCAchr7: 72,382,850-73,776,2371.4 Mb copy loss at 7q11.23/Williams syndromeNR,D,S,M,Llevel 1
13* 6d/MMCAchr7: 72,382,850–73,776,237; chr20: 34,118,917–34,173,5921.4 Mb copy loss at 7q11.23; 54.6 kb copy loss (UCS) at 20q11.23/Williams syndromeNR,D,S,M,Llevel 1
14* 5y/MASDchr7: 110,765,432–111,124,405; chr15: 82,433,250–89,427,223358.9 kb copy loss (paternal) at 7q31.1; 6.9 Mb copy loss at 15q25.2–q26.1/15q deletionDe novonono
15* 6y/FMCA+DDchr9: 199,254–1,532,084; chr9: 1,544,692–29,980,9351.3 Mb terminal copy loss at 9p24.3; 28.4 Mb copy gain at 9p24.3–p21.1/complex imbalanced 9p: karyotype 46,XX,der(9)(p21.1–>p24.3::p24.3–>qter)dnDe novonono
16* 2m/FMCAchr9: 95,929,405–96,708,956; chr22: 46,600,315–49,522,658779.5 kb copy gain (UCS) at 9p22.32; 2.9 Mb copy loss at 22q13.31–q13.33/ring chr22 with 22q13 microdeletion (including SHANK3)NR,D,S,Llevel 3
17* 4y/FMCA+DDchr10: 125,911,563–135,253,2409.3 Mb terminal copy loss at 10q26/10q26 deletionDe novoDlevel 3
18* 2m/MMCAchr16: 14,957,300–16,195,4041.2 Mb copy loss at 16p13.11/16p13.11 microdeletionNR,D,Plevel 3
19∧2.5y/MASDchr16: 15,033,259–16,195,4041.2 Mb copy gain at 16p13.11/16p13.11 duplicationMatDlevel 3
20∧8y/MASD+DDchr16: 15,033,259–16,195,4041.2 Mb copy gain at 16p13.11/16p13.11 duplicationNDlevel 3
21* 1y/MASDchr16: 28,395,992–28,953,785558 kb copy loss at 16p11.2/16p11.2 (SH2B1 gene) microdeletionDe novoR,Slevel 2
22* 11y/MDys+DDchr16: 54,476,646–58,816,9394.3 Mb copy loss at 16q12.2–q21/16q12.2 deletionDe novoDlevel 4
23* 1m/MMCA/dyschr17: 740,287–1,530,746790 kb copy gain at 17p13.3/17p13.3 duplicationNR,Slevel 3
24* 7m/MMCAchr17: 2,520,702–3,680,5861.16 Mb copy loss at 17p13.3–p13.2/17p13.3p13.2 (LIS1 intragenic deletion)De novonono
25* 4m/FMCA/dyschr17: 26,140,621–27,346,7441.2 Mb copy gain at 17q11.2/17q11.2 NF1 duplicationNR,Slevel 3
26* 8m/FMCAchr17: 43,878,156–45,719,328; chr17: 62,047,278–62,372,3651.8 Mb copy loss at 17q21.32–q21.33; 325 kb copy gain (UCS) at 17q24.2/17q21.32–q21.33 deletionNR,D,P,M,Llevel 2
27* 2m/FMCA+cytogenetic diagnosischr18: 30,273,585–62,939,67332.6 Mb copy gain at 18q12.1–q22.1/inverted duplication 18q12.1–q22.1Only mother tested, not mat.nono
28* 1m/FMCAchr22: 17,299,469–19,790,6582.5 Mb copy loss at 22q11.21/22q11 deletionDe novoR,D,S,M,Llevel 1
29* 3y/MASDchr22: 17,299,469–19,790,6582.5 Mb copy loss at 22q11.21/22q11 deletionDe novoR,D,S,M,Llevel 1
30∧4.9y/MASDchrX: 22,857,404–22,980,069122 kb copy loss at Xp22.11 involving deletion of the DDX53 geneMatnono
31* 2m/FMCA, cytogenetic diagnosischrX: 71,010,717–154,881,51483.9 Mb terminal copy gain at Xq13.1–q28/functional partial monosomy 15 and Trisomy Xq, karyotype 46,XX,der(15)t(X;15)(q13.1;p10)dnNR,D,S,M,Llevel 2
32* 13y/FotherchrX: 107,539,632–107,750,773; chrX: 107,759,164–108,180,837211.1 kb copy loss at Xq22.3; 421.6 kb copy gain at Xq22.3/X–linked Alport plus diffuse leiomyomatosis syndromeOnly mother tested, not mat.R,D,S,Mlevel 2
33* 9m/FDys+DD+cytogenetic diagnosischrX: 134,459,007–134,901,914; chr4: 33,860–11,295,959442.9 kb copy loss (UCS) at Xq26.3; 11.2 Mb terminal copy loss at 4p16.3–p15.33/Wolf–Hirschhorn syndromeDe novoR,D,P,Mlevel 2
34* 3y/FASDchrX: 216,519–4,031,2203.8 Mb copy loss at Xp22.33/Xp22.33 (SHOX) deletion Léri–Weill dyschondrosteosis syndromeNR,D,P,S,M,Llevel 1
35* 12y/Fother, genetic diagnosischrX: 216,519–39,315,01339.1 Mb terminal copy loss at Xp22.33–p11.4/Xp22.33p11.4De novoR,D,P,S,M,Llevel 1
36* 9m/FMCA+DDchrX: 369,190–886,653; 18: 3,404,569–3,886,147517.4 kb copy gain (maternal) at Xq28; 481.5 kb copy gain at 18p11.31/18p11.31 duplicationMatnono
37* 3y/MASDchrX47,XXY (gain of chrX)/Klinefelter syndromeInconclusive; Karyotype of mother: mos 47,XXX[1]/46,XX[29] R,D,P,S,M,Llevel 1

Abbreviations: MCA = Multiple Congenital Anomalies; DD = Developmental Delay; ASD = Autism Spectrum Disorders; Dys = Dysmorphism; UCS = Uncertain Clinical Significance.

Abbreviations: S = Surveillance; R =  specialist Referral/assessment; D = Diagnostic testing; P = medical/surgical Procedure; M = Medication administration; L = Lifestyle recommendation; O = Other interventions.

* = pathogenic CNVs, ∧ = likely pathogenic CNVs.

N = not tested; Mat  =  maternal inheritance; Pat  =  paternal inheritance.

Abbreviations: MCA = Multiple Congenital Anomalies; DD = Developmental Delay; ASD = Autism Spectrum Disorders; Dys = Dysmorphism; UCS = Uncertain Clinical Significance. Abbreviations: S = Surveillance; R =  specialist Referral/assessment; D = Diagnostic testing; P = medical/surgical Procedure; M = Medication administration; L = Lifestyle recommendation; O = Other interventions. * = pathogenic CNVs, ∧ = likely pathogenic CNVs. N = not tested; Mat  =  maternal inheritance; Pat  =  paternal inheritance.

Case Illustration

Level 1 evidence for clinical action: 47,XXY/Klinefelter syndrome (Case 37 in Table 3)

A 3 year old boy presented with speech delay and autistic features. He was born preterm following a spontaneous monochorionic diamniotic twin pregnancy. CMA showed arr(1-22,X)×2,(Y)×1 (confirmed by karyotype). He was referred to the endocrinology clinic, where he was managed according to existing protocols for Klinefelter syndrome with other various recommendations (R,D,P,S,M,L). [29], [30] His otherwise healthy twin was also confirmed to have Klinefelter Syndrome. Their mother was pregnant when the diagnosis of Klinefelter syndrome was disclosed and parental karyotype was offered due to their anxiety. The karyotype of their father was normal while that of their mother (30 years old) showed low level mosaicism of 47,XXX[1]/46,XX[29]. Sex chromosome aneuploidy is recognized to be a normal phenomenon in culture lymphocytes from women of different ages and specifically it was reported that 4% of women between 23 to 34 years of age can have X chromosome gain. [31] This low frequency of aneuploid cells does not signify an increased risk of prenatal diagnosis of sex chromosomal aneuploidy in the fetus and this was explained to the parents in subsequent session of genetic counseling.

Level 2 evidence for clinical action: 1p36 deletion (Case 1 in Table 3)

A newborn girl was diagnosed to have Ebstein anomaly. She developed a generalized seizure shortly after cardiac surgery on day 3 of life. CMA showed diagnosis of 1p36 microdeletion syndrome (OMIM #607872). Neurodevelopmental and feeding assessment (R), eye assessment (S), EEG (D), brain MRI (D), USG kidney (D), and thyroid function test (S) were recommended. [32] Thyroxine replacement (M) and antiepileptic therapy (M) were prescribed subsequently. Parents were provided with extensive counseling on the prognosis and management of the condition. The patient had a prolonged hospital stay and died at 20 months of age after an acute deterioration without identifiable cause.

Level 3 evidence for clinical action: 1q44 deletion (Case 3 in Table 3)

A full term baby with pulmonary atresia, ventricular septal defect and thyroid agenesis was referred for genetic evaluation at 2 months of age. She had a history of intrauterine growth restriction and exhibited failure to thrive. CMA showed 1q44 deletion [arr 1q44(241,821,041–247,174,728) ×1]. Her clinical features were consistent with the phenotype associated with 1q44 deletion (OMIM #612337). Seizures and abnormal corpus callosum are commonly reported. [33]–[35] Our patient was recommended to have brain MRI which showed a hypoplastic corpus callosum. Upon our recommendation, she was followed by the neurologists and confirmed to have severe DD. She later developed seizures and required antiepileptic treatment.

No recommendation for clinical action: submicroscopic unbalanced translocation (Case 2 in Table 3)

A 24 year-old female being followed in the paediatric clinic was referred for evaluation of developmental delay and dysmorphic features. She had a past history of being small for gestational age, short stature, scoliosis, hypotonia and resolved tremor/head shaking. All her previous investigations, including brain MRI (hypoplastic inferior vermis), karyotype, FISH for Williams syndrome, 7 blood tests and 2 urine tests for metabolic diseases, spine MRI, nerve conduction velocity/electromyography, Tensilon test, muscle biopsy, were non-diagnostic. CMA showed terminal 1p36.33p36.32 duplication and terminal 10q26.2q26.3 deletion, suggesting an unbalanced translocation. The unbalanced translocation was then confirmed by FISH. Patients with 10q26 deletion are reported to share similar features of ID/DD, dysmorphic features, as well as behavioral problems. [36]–[38] Although there was no clinical action prompted in this patient, this case showed how first-tier CMA testing might have avoided 15 unnecessary investigations (including the invasive muscle biopsy) and ended the diagnostic odyssey.

Discussion

A growing body of evidence demonstrates the superior diagnostic yield of CMA compared to conventional karyotype, and CMA has been endorsed by various professional organizations as a first-tier investigation for children with unexplained DD/ID/ASD and/or MCAs. [2], [3] However in the States, the evidence has not been sufficient to support coverage of CMA by many health insurance providers. The decision of which often depends on the evidence of whether a test will influence medical management and result in improvement in health outcome. In Hong Kong where most medical expenses are publicly funded, similar decisions have to be made by the government for supporting new testing and therefore it is also our interest to study whether a genetic test can significantly affect clinical management and patient outcome. To evaluate the degree to which CMA can impact clinical management of our patient population, we retrospectively reviewed the medical records of 327 patients tested in a single laboratory and managed in a single paediatric unit (2 teaching hospitals) over a 29-month period. We included only patients in whom the CMA results had been disclosed and management recommendations have been suggested in a post-test genetic counseling session. We had full access to the medical records of all patients and the latest recruited patient had at least 3-month follow-up period for the evaluation of outcome after the recommendation. It was noted that parental testing rate was 56.8% in the 37 patients with significant CMA results, due to either parental refusal. Compared to 4 previous studies on clinical utility of CMAs [18]–[21], we found a detection rate of 8.6% for clinically actionable CNVs, which was comparable if not slightly higher than the reported number of 3.6%∼7% (Table 4). There are significant differences in the design in previous studies and we have adopted the approach used by Riggs et al. [19] We grouped the recommendations into various categories (S, R, D, P, M, L, O) and linked them to the current level of evidence. This standardized approach allows better comparison with other studies and re-evaluation of our own finding with new evidence after a certain period of time. [39]
Table 4

Comparison of clinically actionable abnormal CMA findings in published studies.

Study (published year)Coulter et al (2011)Ellison et al (2012)Riggs et al (2014)Henderson et al (2014)Our study
Study designRetrospective review of medical recordsRetrospective laboratory database review (Signature Genomics)Retrospective laboratory database review (ISCA)Retrospective review of electronic medical recordsRetrospective review of medical records
Number of subjects1,79246,29828,2561,780327 (first-tiered testing and with specific indications)
Study period1 y (2009–2010)7.5 y (2004–2011)As in March 20123 y (2009–2012)29m (2010–2013)
CMA platforms usedNot specifiedMultiple BAC-based and oligo-arrays. (only those with oligo-arrays counted to evaluate clinical actionability)Multiple platforms (not specified)2 high resolution SNP array platformsNimbleGen 135k oligonucleotide array
Definition of clinically actionable resultsFindings that prompt specialist referral, imaging, diagnostic test or medication prescription.1. Established microdeletion/microduplication syndromes; 2. Conditions with increased cancer susceptibility; 3. Other actionable conditions associated with dosage-sensitive genes.Conditions diagnosable by CMA for which referral, diagnostic testing, surgical/interventional procedure, surveillance, medical and lifestyle changes would be recommended. The recommendations were stratified according to the level of evidence.Findings that prompt recommendations of further action such as pharmacologic treatment, cancer-related screening, contraindications, additional evaluation or referrals.Criteria by Riggs et al.
Diagnostic yield of significant results235/1,792 (13.0%)15.4% for the oligo-array (based on previous study from the same group)4,125/28,256 (14.6%)227/1,780 (12.7%)37/327 (11.0%)
Clinical actionability in those with significant CMA results (%)34.0–54.0%35.0%46.0% (66.0% for deletion cases and 11.0% for duplication cases)54.7% (42.1% for patients referred for isolated neurodevelopmental disorders)75.7% (44.0% for patients referred for isolated neurodevelopmental disorders)
Clinically actionability in the whole cohort (%)3.6%5.4%7.0%5.4%8.6%
We observed a good correlation between the clinical significance and the clinical actionability of the CMA findings. Clinical management changes were recommended in 75.7% of patients with clinically significant CNVs; in 2.5% of patients with CNVs of unknown significance and in 0% with benign findings respectively. The clinically significant findings are larger in size and were more likely to be deletions than duplications. Interestingly, in those with clinically significant CNVs, management recommendations were made in 22/26 patients (84.6%) with MCA/dysmorphism as an indication for CMA, compared to 4/9 patients (44%) in those with neurodevelopmental disorders only. This lower clinical actionability rate for CNVs found in patients with isolated neurodevelopmental disorders was also observed in previous studies. [18], [21] Young age was associated with clinical significant CNVs in our study, which was also observed in the study of Coulter et al (2011). [18] Only 1 investigation was ordered in 1 patient with CNV of unknown significance, referred for non-syndromic ASD. The recommendation (an ECG) was based on the finding of the same 20p12.3 duplication in a single case report on a patient with familial Wolf-Parkinson-White syndrome. [40] Parents agreed for ECG on the child because the non-invasive nature of the investigation and the availability of potential treatment if WPW was identified. In this patient, the ECG was normal. Similarly we have made a level 4 recommendation (brain MRI) for another patient with DD, epilepsy and a 16p12 deletion based on positive finding of bilateral frontoparietal polymicrogyria (BFPP) in a patient reported with a similar deletion. [41] In our patient, brain MRI did not show BFPP. This illustrates that with our study design we are able to evaluate not only the recommendations we made based on the CMA findings but the actual clinical outcomes of patients. This will be important especially for CNVs with clinical actions based on low level of evidence. There are multiple advantages of reaching a genetic diagnosis in patients. First of all, making a diagnosis allows estimation of recurrence risk and informed decisions about future pregnancies for the parents. As illustrated by case 37 (with Level 1 evidence), the clinical utility of CMA in the proband can extend beyond the affected individuals and familial testing can reveal diagnosis in a sibling (normal development but with Klinefelter syndrome) with less obvious clinical manifestations. Secondly, for some like patient 2, a diagnosis of submicroscopic unbalanced translocation helps to end the 24 years of diagnostic odyssey. If the test is being offered as first-tier testing in a similar patient at the current time, it may help to avoid a lot of unnecessary investigations including the more invasive ones. The direct benefits to clinical management have been demonstrated by previous studies. [18]–[21] Our study was able to confirm that a significant CMA finding influenced medical management in 75% of our patients. Although our study involves a smaller number of patients, we were able to study at least the short-term direct clinical outcomes in our patients who have received recommendations based on their CMA findings. Future goals will be the long-term study of the impact on clinical outcomes for a larger cohort of patients with significant CMA findings and how the changing interpretation of CMA over time may change the clinical management of patients with different categories of findings. We advocate the use of diagnostic yield of clinically actionable results in the evaluation of CMA testing as this allows the clinicians to consider both clinical validity and clinical utility of CMA under the ACCE framework [42]–[47] and it provides a link between the practice of medical genetics and evidence-based medicine.
  43 in total

Review 1.  Use of array CGH in the evaluation of dysmorphology, malformations, developmental delay, and idiopathic mental retardation.

Authors:  Pawel Stankiewicz; Arthur L Beaudet
Journal:  Curr Opin Genet Dev       Date:  2007-04-30       Impact factor: 5.578

2.  A subterminal deletion of the long arm of chromosome 10: a clinical report and review.

Authors:  Winnie Courtens; Wim Wuyts; Liesbeth Rooms; Sarah Barbera Pera; Jan Wauters
Journal:  Am J Med Genet A       Date:  2006-02-15       Impact factor: 2.802

3.  Value for money? Array genomic hybridization for diagnostic testing for genetic causes of intellectual disability.

Authors:  Dean A Regier; Jan M Friedman; Carlo A Marra
Journal:  Am J Hum Genet       Date:  2010-04-15       Impact factor: 11.025

Review 4.  Consensus statement: chromosomal microarray is a first-tier clinical diagnostic test for individuals with developmental disabilities or congenital anomalies.

Authors:  David T Miller; Margaret P Adam; Swaroop Aradhya; Leslie G Biesecker; Arthur R Brothman; Nigel P Carter; Deanna M Church; John A Crolla; Evan E Eichler; Charles J Epstein; W Andrew Faucett; Lars Feuk; Jan M Friedman; Ada Hamosh; Laird Jackson; Erin B Kaminsky; Klaas Kok; Ian D Krantz; Robert M Kuhn; Charles Lee; James M Ostell; Carla Rosenberg; Stephen W Scherer; Nancy B Spinner; Dimitri J Stavropoulos; James H Tepperberg; Erik C Thorland; Joris R Vermeesch; Darrel J Waggoner; Michael S Watson; Christa Lese Martin; David H Ledbetter
Journal:  Am J Hum Genet       Date:  2010-05-14       Impact factor: 11.025

5.  American College of Medical Genetics standards and guidelines for interpretation and reporting of postnatal constitutional copy number variants.

Authors:  Hutton M Kearney; Erik C Thorland; Kerry K Brown; Fabiola Quintero-Rivera; Sarah T South
Journal:  Genet Med       Date:  2011-07       Impact factor: 8.822

Review 6.  Clinical review: Klinefelter syndrome--a clinical update.

Authors:  Kristian A Groth; Anne Skakkebæk; Christian Høst; Claus Højbjerg Gravholt; Anders Bojesen
Journal:  J Clin Endocrinol Metab       Date:  2012-11-01       Impact factor: 5.958

Review 7.  Expanded Prader-Willi syndrome due to chromosome 15q11.2-14 deletion: report and a review of literature.

Authors:  Anthony P Y Liu; Wing Fai Tang; Elizabeth T Lau; Kelvin Y K Chan; Anita S Y Kan; Kar Yin Wong; Winnie W Y Tso; Khair Jalal; So Lun Lee; Christy S K Chau; Brian H Y Chung
Journal:  Am J Med Genet A       Date:  2013-04-30       Impact factor: 2.802

Review 8.  Array CGH in patients with learning disability (mental retardation) and congenital anomalies: updated systematic review and meta-analysis of 19 studies and 13,926 subjects.

Authors:  Gurdeep S Sagoo; Adam S Butterworth; Simon Sanderson; Charles Shaw-Smith; Julian P T Higgins; Hilary Burton
Journal:  Genet Med       Date:  2009-03       Impact factor: 8.822

9.  The impact of chromosomal microarray on clinical management: a retrospective analysis.

Authors:  Lindsay B Henderson; Carolyn D Applegate; Elizabeth Wohler; Molly B Sheridan; Julie Hoover-Fong; Denise A S Batista
Journal:  Genet Med       Date:  2014-03-13       Impact factor: 8.822

10.  How physicians use array comparative genomic hybridization results to guide patient management in children with developmental delay.

Authors:  Jennifer Saam; Jim Gudgeon; Emily Aston; Arthur R Brothman
Journal:  Genet Med       Date:  2008-03       Impact factor: 8.822

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  12 in total

1.  Clinical Application of Chromosome Microarray Analysis in Han Chinese Children with Neurodevelopmental Disorders.

Authors:  Mingyu Xu; Yiting Ji; Ting Zhang; Xiaodong Jiang; Yun Fan; Juan Geng; Fei Li
Journal:  Neurosci Bull       Date:  2018-06-09       Impact factor: 5.203

2.  Clinical Performance of an Ultrahigh Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders.

Authors:  Karen S Ho; Hope Twede; Rena Vanzo; Erin Harward; Charles H Hensel; Megan M Martin; Stephanie Page; Andreas Peiffer; Patricia Mowery-Rushton; Moises Serrano; E Robert Wassman
Journal:  Biomed Res Int       Date:  2016-11-16       Impact factor: 3.411

3.  Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder.

Authors:  Areerat Hnoonual; Weerin Thammachote; Thipwimol Tim-Aroon; Kitiwan Rojnueangnit; Tippawan Hansakunachai; Tasanawat Sombuntham; Rawiwan Roongpraiwan; Juthamas Worachotekamjorn; Jariya Chuthapisith; Suthat Fucharoen; Duangrurdee Wattanasirichaigoon; Nichara Ruangdaraganon; Pornprot Limprasert; Natini Jinawath
Journal:  Sci Rep       Date:  2017-09-21       Impact factor: 4.379

4.  Identification of mutations in the PI3K-AKT-mTOR signalling pathway in patients with macrocephaly and developmental delay and/or autism.

Authors:  Kit San Yeung; Winnie Wan Yee Tso; Janice Jing Kun Ip; Christopher Chun Yu Mak; Gordon Ka Chun Leung; Mandy Ho Yin Tsang; Dingge Ying; Steven Lim Cho Pei; So Lun Lee; Wanling Yang; Brian Hon-Yin Chung
Journal:  Mol Autism       Date:  2017-12-20       Impact factor: 7.509

5.  Analytical and Clinical Validity Study of FirstStepDx PLUS: A Chromosomal Microarray Optimized for Patients with Neurodevelopmental Conditions.

Authors:  Charles Hensel; Rena Vanzo; Megan Martin; Sean Dixon; Christophe Lambert; Brynn Levy; Lesa Nelson; Andy Peiffer; Karen S Ho; Patricia Rushton; Moises Serrano; Sarah South; Kenneth Ward; Edward Wassman
Journal:  PLoS Curr       Date:  2017-02-27

6.  Prematurity, ventricular septal defect and dysmorphisms are independent predictors of pathogenic copy number variants: a retrospective study on array-CGH results and phenotypical features of 293 children with neurodevelopmental disorders and/or multiple congenital anomalies.

Authors:  I Maini; I Ivanovski; O Djuric; S G Caraffi; E Errichiello; M Marinelli; F Franchi; V Bizzarri; S Rosato; M Pollazzon; C Gelmini; M Malacarne; C Fusco; G Gargano; S Bernasconi; O Zuffardi; L Garavelli
Journal:  Ital J Pediatr       Date:  2018-03-09       Impact factor: 2.638

7.  Chromosomal Microarray With Clinical Diagnostic Utility in Children With Developmental Delay or Intellectual Disability.

Authors:  Jin Sook Lee; Hee Hwang; Soo Yeon Kim; Ki Joong Kim; Jin Sun Choi; Mi Jung Woo; Young Min Choi; Jong Kwan Jun; Byung Chan Lim; Jong Hee Chae
Journal:  Ann Lab Med       Date:  2018-09       Impact factor: 3.464

8.  Low Rates of Genetic Testing in Children With Developmental Delays, Intellectual Disability, and Autism Spectrum Disorders.

Authors:  John Peabody; Lisa DeMaria; Diana Tamandong-LaChica; Jhiedon Florentino; Maria Czarina Acelajado; Trever Burgon
Journal:  Glob Pediatr Health       Date:  2015-12-24

9.  Chromosomal Microarray Analysis of Consecutive Individuals with Autism Spectrum Disorders Using an Ultra-High Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders.

Authors:  Karen S Ho; E Robert Wassman; Adrianne L Baxter; Charles H Hensel; Megan M Martin; Aparna Prasad; Hope Twede; Rena J Vanzo; Merlin G Butler
Journal:  Int J Mol Sci       Date:  2016-12-09       Impact factor: 5.923

10.  Use of clinical chromosomal microarray in Chinese patients with autism spectrum disorder-implications of a copy number variation involving DPP10.

Authors:  Annisa Shui Lam Mak; Annie Ting Gee Chiu; Gordon Ka Chun Leung; Christopher Chun Yu Mak; Yoyo Wing Yiu Chu; Gary Tsz Kin Mok; Wing Fai Tang; Kelvin Yuen Kwong Chan; Mary Hoi Yin Tang; Elizabeth Tak-Kwong Lau Yim; Kin Wai So; Victoria Qinchen Tao; Cheuk Wing Fung; Virginia Chun Nei Wong; Mohammed Uddin; So Lun Lee; Christian R Marshall; Stephen W Scherer; Anita Sik Yau Kan; Brian Hon Yin Chung
Journal:  Mol Autism       Date:  2017-06-26       Impact factor: 7.509

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