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Journal of Obstetrics and Gynaecology of India logoLink to Journal of Obstetrics and Gynaecology of India
. 2021 Jan 19;71(2):156–167. doi: 10.1007/s13224-020-01413-6

Prenatal Diagnosis by Chromosome Microarray Analysis, An Indian Experience

Meena Bajaj Lall 1,, Shruti Agarwal 1, Preeti Paliwal 1, Pushpa Saviour 1, Anju Joshi 1, Arti Joshi 1, Surbhi Mahajan 1, Sunita Bijarnia-Mahay 1, Ratna Dua Puri 1, I C Verma 1
PMCID: PMC8167018  PMID: 34149218

Abstract

Background

Karyotyping has been the gold standard for prenatal chromosome analysis. The resolution should be higher by chromosome microarray analysis (CMA). The challenge lies in recognizing benign and pathogenic or clinically significant copy number variations (pCNV) and variations of unknown significance (VOUS). The aim was to evaluate the diagnostic yield and clinical utility of CMA, to stratify the CMA results in various prenatal referral groups and to accumulate Indian data of pCNVs and VOUS for further interpretation to assist defined genetic counseling.

Methods

Karyotyping and CMA were performed on consecutive referrals of 370 prenatal samples of amniotic fluid (n = 274) and chorionic villi (n = 96) from Indian pregnant women with high maternal age (n = 23), biochemical screen positive (n = 61), previous child abnormal (n = 59), abnormal fetal ultrasound (n = 205) and heterozygous parents (n = 22).

Results and Conclusion

The overall diagnostic yield of abnormal results was 5.40% by karyotyping and 9.18% by CMA. The highest percentage of pCNVs were found in the group with abnormal fetal ultrasound (5.40%) as compared to other groups, such as women with high maternal age (0.81%), biochemical screen positive (0.54%), previous abnormal offspring (0.81%) or heterozygous parents group (1.62%). Therefore, all women with abnormal fetal ultrasound must undergo CMA test for genotype–phenotype correlation. CMA detects known and rare deletion/duplication syndromes and characterizes marker chromosomes. Accumulation of CNV data will form an Indian Repository and also help to resolve the uncertainty of VOUS. Pretest and posttest genetic counseling is essential to convey benefits and limitations of CMA and help the patients to take informed decisions.

Keywords: Prenatal, Microarray, CNV, VOUS, Microdeletions, Microduplications

Introduction

Since 1960, karyotyping has been the gold standard for prenatal chromosome analysis in pregnant women with risk of chromosomal defects [1]. Karyotyping detects genomic imbalances, such as aneuploidies and unbalanced derivative chromosomes, all visible at the microscopic level (size ≥ 4 Mb). Chromosomal microarray analysis (CMA) detects microscopic and additional submicroscopic imbalances (size < 4 Mb) in the form of copy number losses and gains collectively called copy number variations (CNVs). CMA reveals the exact size, the gene content and the cytoband of the deletion or duplication [2]. The resolution and the yield of chromosome abnormalities from the whole genome should be higher by using CMA than by karyotyping. The challenge lies in the interpretation of CNVs as benign (with normal phenotype), pathogenic or clinically significant (pCNVs) or as variations of unknown significance (VOUS). CMA can also detect loss of heterozygosity (LOH) which may be caused due to consanguinity or uniparental disomy.

Objectives

  1. The scarcity of publications from India on Prenatal CMA in large cohorts reflects that classical karyotyping is still a preferred gold standard. The objective was to highlight the benefits of prescribing CMA due to increased diagnostic yield, molecular characterization into the gene content, size, exact cytoband and pathogenic significance of the chromosome defect and to recommend the approach to integrate it into prenatal diagnostic practice in the Indian setting.

  2. CMA can diagnose the clinically significant submicroscopic aneusomies (e.g., DiGeorge, Williams Beuren, Smith–Magenis, Prader–Willi syndrome, etc.) currently not detected by karyotyping. These known microdeletion/duplication syndromes have been reported to be rare (1:1000 to 1:25000). Our study emphasizes the efficacy of CMA to detect these syndromes at a much higher frequency, suggesting that their prevalence rates should be re-defined.

  3. Data accumulated by the West (multiple peer reviewed reports and databases) are being used for interpretation of CNVs as pathogenic, benign and VOUS. Accumulated Indian data can be deposited in the global pool. As more accumulated VOUS get associated with a common phenotype, their uncertainty will resolve. The data generated will contribute to personal or Indian repository for a more accurate and complete reference for interpretation of CNVs.

  4. CMA will also discover novel or rare microdeletion and duplications.

Material

We studied 370 prenatal samples of amniotic fluid (n = 274) and chorionic villi (n = 96) received as consecutive referrals from pregnant women with high maternal age (n = 23), biochemical screen positive (n = 61), previous child abnormal (n = 59), fetus with ultrasound abnormality (n = 205) and heterozygous parents (n = 22). Informed consent was obtained from all women undergoing the prenatal tests. Ethical clearance was obtained from our institution’s ethical committee (EC/11/12/435).

Blood samples of parents were requested to establish inheritance, whenever possible.

Method

All 370 prenatal samples were first processed for Fluorescence Insitu Hybridisation (FISH) for five common aneuploidies of chromosomes 13, 18, 21, X and Y as per standard protocol [3]. The samples which showed whole chromosome aneuploidy for any of these five chromosomes were excluded from the study.

All 370 prenatal samples were cultured [4], processed for GTG banding [5] and karyotyping using International System for Human Cytogenomics Nomenclature (ISCN, 2016) [6].

CMA was performed using standard AGILENT protocol (www.agilent.com) for 4x180K array slide containing ~ 120,000 CGH and 60,000 SNP probes, including the entire 60,000 ISCA genes coverage and ability to detect loss of heterozygosity (LOH) due to the presence of a deletion, consanguinity or uniparental disomy (UPD). Human genome version GRCh 37:Feb 2009(hg19) was used for data annotation. CMA data analysis by CytoGenomics (v4.0.3.12) software enabled detection of CNVs as deletions (≥ 200 kb) and duplications (≥ 400 kb). CNVs of minimum size 50 kb were reported if they had clinically significant genes. Using standard guidelines [7, 8], the CNVs were interpreted as follows:

  • Pathogenic or pCNVs: disease causing (documented in public databases OMIM, ISCA, ECARUCA, NHS UK, GARD, NLM NIH, PUBMED, etc.).

  • VOUS: potential functional significance remains unknown.

  • Benign CNVs: no major clinical phenotype.

Results

  1. An overall higher diagnostic yield of the clinically significant abnormal results was obtained by CMA (9.18%) (34/370) as compared to that by karyotyping (5.40%) (20/370), as CMA detected an additional 3.78% (14/370) samples with submicroscopic (< 4 Mb) clinically significant copy number changes which were not visible in the karyotype (Table 1, Fig. 1a).

  2. The present data were strategically analyzed in all referral groups with different indications of the test. The analysis showed that the women with abnormal fetal ultrasound had the highest yield (5.40%) (20/370) of pCNVs in the form of deletions or duplications, as compared to other referral groups of women with high maternal age (0.81%) (03/370), biochemical screen positive (0.54%) (02/370), previous abnormal offspring (0.81%) (03/370) or the heterozygous parents group (1.62%) (06/370) (Table 1, Fig. 1b).

  3. Clinically significant or pCNVs (Table 2): thirty (8.10%) (30/370) fetuses had at least one CNV which represented a common established genomic disorder documented in OMIM. These included some known microdeletion/duplication syndromes which karyotyping could not predict or detect. FISH was a targeted approach to confirm or validate some of these syndromes. The remaining four patients had CNVs which were rare or novel.

  4. Structural aberrations (Table 2): Total 20 samples had only one CNV but there were 14 samples which had two CNVs denoting probable structural chromosomal defects such as derivative chromosomes, with unbalanced rearrangements. These accounted for total 48 CNVs, of which 28 were losses and 20 were gains including four supernumerary marker chromosomes (SMCs) such as der(11), der(13) and two of der(15), respectively.

  5. VOUS: There were seven (1.89%) (7/370) VOUS which were less than 1 Mb in size (Table 3a).

  6. Benign CNVs: We documented eight recurrent benign CNVs, which were also listed in DGV or dgVar as benign (Table 3b).

  7. LOH: Eight regions of LOH in seven (1.89%) (7/370) samples had no imprinting gene (Table 3). Therefore, no pathogenicity was established.

Table 1.

Percentage of abnormal results by karyotyping and by CMA in total 370 prenatal samples with various indications of the test

Category Indication of test (total samples) (N = 370) Samples (n) with abnormal karyotype Samples (n) with pCNVs (detected by CMA) Samples (n) with VOUS (detected by CMA)
1 Advanced maternal age (n = 23) 2 (0.54%) 3 (0.81%) 0 (0%)
2 Biochemical screening positive (n = 61) 0 (0%) 2 (0.54%) 2 (0.54%)
3 Previous child with abnormality (n = 59) 1 (0.27%) 3 (0.81%) 1 (0.27%)
4 Heterozygous parents (n = 22) 6 (1.62%) 6 (1.62%) 0 (0%)
5 USG abnormal (n = 205) 11 (2.97%) 20 (5.40%) 4 (1.08%)
Overall diagnostic yield 20 (5.40%) 34 (9.18%) 7 (1.89%)

Fig. 1.

Fig. 1

a Overall diagnostic yield (%) by karyotyping and CMA, b highest diagnostic yield of abnormal results in referrals with abnormal fetal ultrasound versus other prenatal referrals

Table 2.

Clinically significant CNVs (pCNVs)

PI Age Indication of test Inheritance Karyotype Deletions and duplications detected by CMA Multiple/critical genes Clinical significance/syndromes Previous reports
Advanced maternal age
1

39

Y

AMA ND 46,N 384 kb; 1q21.1 (145,415,190–145,799,602)x1 Multiple/RBM8A Thrombocytopenia-absent radius syndrome OMIM 274000
2

35

Y

AMA De novo mos 47, + mar [37]/46,N[13] 7.8 Mb; 11p12p11.12 (42,922,228–50,768,675)x3 Multiple/EXT2, ALX4 11p12p11.12 duplication DECIPHER 255428,291037 (Hulya et al. 2009)
3

37

Y

AMA De novo 47, + mar 10.1 Mb; 15q11.2q13.3 (22,765,628–32,899,558)x3 Multiple/SNRPN, UBE3A 15q11-13 duplication syndrome OMIM 608636
Biochemical screen positive
4

34

Y

Quadruple test positive ND 46,N 1.6 Mb; 6p12.3p12.1 (51756953–53436038)x1

Multiple

GCLC

Gamma glutamyl-cysteine synthetase deficiency OMIM 230450
5 33 Y Triple test positive ND 46,N 1.6 Mb; Xp22.31 (6,488,721–8,097,511)x1 Multiple/STS, VCX Ichthyosis, X-linked OMIM 308100
Previous abnormal child
6 33 Y Previous child with GDD ND 46,N 817 kb; 8p22p21.3 (18,585,309–19,402,086)x3 Multiple ACC OMIM 217990
7 33 Y Previous child with Autism De novo 46,N 267 kb; 14q24.3q31.1 (79187922–79455420)x1 NRXN3 ASD OMIM 600567
8 29 Y Previous pregnancy with MCA Mat 46,der(13)t(2;13) (q35;q14)mat

10.0 Mb; 2q35q36.3 (216,351,479–226,369,944)x3

26.9 Mb; 13q14.11q21.33

(42,693,451–69,644,520)x1

Multiple

Multiple/RB1

2q35 duplication syndrome

13q14 deletion syndrome

OMIM 185900

OMIM 613884

Heterozygous parent
9 29 Y

Father carrier

46,XY,ins(2)

(p21.3;q34q32.1)

Pat 46,del(2)(q32q34) 26 Mb; 2q32.1q34 (183,011,802–209,359,004)x1 Multiple/SATB2 Chromosome 2q32q33 deletion syndrome OMIM 612313
10 33Y

Father carrier

46,XY,t(3;7) (p25.3;p22)

Pat

46,der(3)t(3;7)

(p25.3;p22)pat

9.4 Mb; 3p26.3p25.3 (93,949–9,532,443)x1

4 Mb; 7p22.3p22.2 (92,532–4,176,031)x3

Multiple/CHL1,CNTN6

Multiple

3pter deletion syndrome

7p22.3p22.2 duplication syndrome

OMIM 613792

(Devin et al. 2015)

11 29Y

Father carrier 46,XY,t(4:5)

(p16;p15)

Pat 46, der(4),t(4:5) (p16;p15)pat

8.6 Mb; 4p16.3p16.1 (85,040–8,732,731)x1

296 kb; 5p15.33 (50,093–346,336)x3

Multiple/LETM1,WHSC1, WHSC2

Multiple/SDHA

Wolf–Hirschhorn syndrome

Mitochondrial respiratory chain complex ii deficiency

OMIM 194190

OMIM 600857

12 32Y Mother carrier of inv(10)(p12q26) mat 46,rec(10)dup(10p) inv(10)(p12q26)

29.0 Mb; 10p15.3p12.1 (232,737–29,288,132)x3

9.2 Mb;10q26.13q26.3 (126,161,478–135,434,178)x1

Multiple ZMYND11

Multiple

Mental retardation

10q26 deletion syndrome

OMIM 616083

OMIM 609625

13 29 Y Mother carrier 46,XX,t(10;13) (q26;q12.3) Mat 47, + mar

10.1 Mb; 10q26.13q26.3 (125,266,022–135,434,178)x3

7.9 Mb; 13q11q12.13 (19,463,637–27,376,648)x3

Multiple

Multiple

GDD

GDD

nssv582217, 582218

nssv578643

14 29 Y

Father carrier

46 XY,(11;12) (q23;p13)

Pat

46,der(12)t(11;12)

(q23;p13)pat

16.7 Mb; 11q23.3q25 (118,158,163–134,934,196)x3

2.9 Mb; 12p13.33 (162,848–3,112,486)x

Multiple

Multiple

WNK1

GDD

GDD

Hereditary Sensory and autonomic neuropathy

nssv578607

nssv707362

nssv1494954

OMIM 201300

Ultrasound abnormality
15 30Y NT increased (> 3.5 mm) De novo 46,inv(1)(p22q12),t(1;7)(q12;p15.3), del(4)(q32.3q34.2) 10.1 Mb; 4q32.3q34.2 (166,220,800–176,350,810)x1 Multiple TLL1, HAND2, HPGD

Intellectual disability

GDD

DECIPHER 257358

DECIPHER 286735

16 32 Y NT increased (> 3.5 mm) De novo 46,N 1.4 Mb; 7q11.23 (72,726,572–74,133,332)x3 (validated by FISH) Multiple/ELN Williams Beuren region duplication syndrome OMIM 609757
17 31 Y NT increased (> 3.5 mm) De Novo 47, + mar 12.2 Mb; 15q11.1q13.3 (20,190,548–32,408,319)x3 Multiple/SNRPN 15q11-13 duplication syndrome OMIM 608636
18 28 Y NT increased (> 3.5 mm) ND 46,N 2.7 Mb; 22q11.21 (18,729,944–21,440,514)x1 Multiple/TBX1 DiGeorge syndrome OMIM 188400
19 30Y NT increased (> 3.5 mm) ND

46,der(10)

add(10)(q26)

1.8 Mb; 10q26.3 (133,536,778–135,434,178)x1

25.5 Mb; 11p15.5p14 (196,966–25,705,103)x3

Multiple

Multiple

10q26 deletion syndrome

11p15.5 duplication

OMIM 609625

OMIM130650

20 26 Y IUGR Pat 46, der(4),t(4:10) (p16;q25)pat

25.0 Mb; 4p16.3p15.2 (72,447–25,785,945)x1

26.0 Mb; 10q25.1q26.3

(109,312,155–135,404,523)x3

Multiple/LETM1, WHSC1, WHSC2

Multiple

Wolf–Hirschhorn syndrome

Distal 10q duplication

OMIM 194190

(Xiao et al. 2012)

21 34Y IUGR, fetal ascites De novo

46,der(5)del(5)

(p15.1)dup(5)(p12q35)

17.1 Mb; 5p15.33p15.1 (22,149–17,213,536)x1

119.9 Mb; 5q12.1q35.3 (60,785,924–180,696,806)x3

Multiple

Multiple

5p15.2 deletion/cri du chat syndrome

GDD

OMIM 123450

nssv579012

1602271

22 29 Y IUGR ND 46,N

88 kb; Xq28

(147,766,011–147,853,6190x1

AFF2 FRAXE mental retardation syndrome OMIM 309548
23 28 Y Ventricular septal defect, short femur ND 46,N 1.6 Mb; 7q11.23 (72,726,572–74,339,044)x1 (validated by FISH)

Multiple

ELN

Williams Beuren syndrome (WBS) OMIM 194050
24 29 Y Intracardiac focus & mild IUGR De novo 46,N

3.0 Mb; 22q11.21 (18,661,724–21,704,972)x1

(validated by FISH)

Multiple/TBX1 DiGeorge syndrome OMIM 188400
25 30 Y Tetralogy of fallot De novo 46,N

2.7 Mb; 22q11.21

(18,729,944–21,505,417)x1 (validated by FISH)

Multiple/TBX1 DiGeorge syndrome OMIM 188400
26 31 Y Holoprosencephaly, hydrops, aortic root stenosis Pat 46,der(13)t(6;13)(p24.2;q31.3)pat

11.0 Mb; 6p25.3p24.2 (389,423–11,462,960)x3

23.2 Mb; 13q31.3q34 (91,837,820–115,092,640x1

Multiple

Multiple

MCA

13q32 deletion syndrome

DECIPHER 1448, 284585, 327131

OMIM 156600

27 33 Y AVSD, single umbilical artery, skull strawberry shape ND 46,N

455 kb; 11q22.3 (106,959,465–107,414,218)x1

927 kb; Xp22.33 (305,449–1,232,910)x1

ALKBH8, CWF19L2

PPP2R3B, SHOX

Intellectual developmental disorder

Short stature idiopathic

OMIM 613306

OMIM 300582

28 28 Y AVSD, blake pouch cyst ND

46,der(9)t(9;11)

(p23;q23)

12.4 Mb; 9p24.3p23 (172,364–12,643,569)x1

14.4 Mb;11q23 (120,519,571–134,934,196)x3

Multiple

Multiple

9p deletion syndrome

GDD

OMIM 158170

DECIPHER nssv578608

29 32 Y B/L club foot, fetal bowel loop echogenic De novo 46,del(10)(q23) 7.3 Mb; 10q22.3q23.2 (81,584,966–88,940,429)x1 Multiple/BMPRIA 10q22.3q23.2 deletion syndrome OMIM 612242
30

34

Y

Single ventricle, right CTEV De Novo

46,der(17)dup

(17)(q23q25)

13.0 Mb; 17q23.1q25 (58,151,616–71,236,468)x3 Multiple 17q23.1-q23.2 duplication syndrome OMIM 613618
31

34

Y

Blake pouch cyst, CTEV NF 46,N 448 kb; 19p13.3 (869,455–1,317,770)x1 Multiple 19p13.3 microdeletion syndrome OMIM 613638
32 34 Y Depressed nasal bridge, CTEV, ACC ND 46,N 187 Kb; 20q13.33 (62,762,136–62,949,149)x1 MYT1, PCMTD2 20q13.33 microdeletion syndrome

ORPHA 261311

[27]

33 30 Y Mild Ventriculomegaly, ACC Pat

46,der(18) add (18)(p11.3)inv

(18)(p11.3q21) pat

2.1 Mb; 18p11.32 (148,963–2,286,200)x1

28.3 Mb; 18q21.2q23 (49,680,998–78,012,829)x3

Multiple

Multiple

18p deletion syndrome

Pitt–Hopkins Syndrome

OMIM 146390

OMIM 610954

34 35 Y B/L Pelviectasis, ventriculomegaly Mat 46,der(13)t(1;13) (q42;q34)mat

17.9 Mb; 1q42.2q44 (231,237,196–249,212,668)x3

4.8 Mb; 13q34 (111,645,199–115,092,648)x1

Multiple/AKT3

Multiple/F7, F10

1q42q44 duplication

Intellectual disability

Factor VII deficiency

DECIPHER 253950, 282589

OMIM 227500

GDD global developmental delay, MCA multiple congenital anomalies, NT nuchal thickness, IUGR intrauterine growth retardation, AVSD atrioventricular septal defects, CTEV congenital talipes equinovarus, ND not done, Mat maternal, Pat paternal

Table 3.

(a) Variations of uncertain significance; (b) recurrent benign CNVs; (c) LOH

SN VOUS (present study) VOUS (previous reports)
(a)
1 462 kb;3p26.3p26.2 (2,685,713–3,147,222)x3 DECIPHER: 267506, 289396, 251186
2. 725 kb;4q13.3 (72,771,832–73,496,614)x3 dbVar nsv530125, ISCA nssv581162
3 301 kb;6q12 (65,625,209–65,926,900)x1 ISCA nssv579359
4 695 kb;7q33 (133,483,238–134,178,419)x3 DECIPHER 251768, 305865
5 391 kb;8q12.1 (56,946,660–57,337,802) x1 ISCA nssv1603607
6 296 kb;16q24.2 (87,504,276–7,800,485)x1 ISCA nssv582897
7 850 kb;20p12.1 (13,438,816–14,288,315)x3 dbVar: nsv531478, nsv916202, nsv531479
SN BENIGN CNVs (present study) BENIGN CNVs (previous reports)
(b)
1 658 kb;1q21.2 (149,041,013–149,699,420)x1 ISCA nssv575615
2. 680 kb;2p11.2 (87,325,327–88,005,429)x3 ISCA nssv576269
3 316 kb;4q13.2 (69,276,372–69,592,846)x3 ISCA nssv583925
4 180 kb;9p11.2 (43,659,483–43,840,040)x1 ISCA nssv707218
5 478 kb;15q13.3 (32,031,012–32,509,926)x3 ISCA nssv576648
6 575 kb;16p11.2 (32,890,035–33,465,531)x1 ISCA nssv707486
7 498 kb;19p13.2q13.3 (43,268,069–43,580,748)x1 ISCA nssv578414
8. 498 kb;19p13.2q13.3 (43,268,069–43,580,748)x3 ISCA nssv581840
SN Eight loss of heterozygosity regions found in seven patients
(c)
1 11.8 Mb;2q24.2q31.1 (160,406,890–172,283,604)x2 hmz.
2. 12.4 Mb;3q11.2q13.12 (93,989,454–106,412,711)x2 hmz
3 10.2 Mb;6q24.3q25.3 (148,651,499–158,890,892)x2 hmz
4 12.0 Mb;7p14.1p12.1 (40,440,573–53,245,512)x2 hmz
5 13.5 Mb;12q15q21.31 (71,054,305–84,652,424)x2 hmz
6 11.5 Mb;17q22q24.2 (53,196,132–64,766,443)x2 hmz
7 14.2 Mb;5q21.1 (98,925,681–113,181,521)x2 hmz, 17.7 Mb; 8q22.33q24.12 (103,572,247–121,355,690)x2 hmz

Discussion

CMA is a powerful tool in pre- and postnatal diagnostics [912]. It is used as a first tier diagnostic test to detect genomic imbalances in children with idiopathic intellectual disabilities, autism, developmental delay and multiple congenital anomalies [13]. The western institutes have validated the test for prenatal studies of microarray in high-risk pregnancies. The analysis of datasets reported in the medical literature showed a higher incidence of pCNVs even in prenatal samples [1420]. This has triggered the interest to apply this technology for prenatal diagnosis in India, but this required validation by comparison of the result outcome in the Indian context, as some recurrent CNVs are a source of variation in the healthy population or can be considered as benign polymorphisms occurring in communities due to evolution.

Accuracy and Efficiency of CMA with High Diagnostic Yield of pCNVs

The results from the present study showed a higher resolution for genomic imbalances (minimum 50 kb), giving a diagnostic yield of 9.18% by CMA as compared to 5.40% by karyotyping (Table 1, Fig. 1a). Another recent Asian study of CMA in the prenatal cohort [16] showed the diagnostic yield of 12.2% pCNVs. All clinically significant chromosome abnormalities detected by karyotyping were also detected by CMA. The additional submicroscopic aberrations (3.78%) which were missed by karyotyping were detected by CMA. Therefore, CMA proves to be an accurate and more efficient test to use for prenatal diagnosis of genomic imbalances.

Highest Diagnostic Yield of pCNVs in the Women with Abnormal Fetal Ultrasound

Strategic analysis of CMA results in various test indication groups (Table 1, Fig. 1b) showed that the group of women with abnormal fetal ultrasound had the highest yield (5.40%) of pCNVs as compared to the other four referral groups of high maternal age (0.81%), triple test positive (0.54%), women with previous abnormal offspring (0.81%) or heterozygous parents group (1.62%). This was comparable with other prenatal studies [12, 17]. They reported pCNVs in 6.0 to 6.5% of fetuses with structural abnormality and 1.0 to 1.5% in other indication groups with no structural abnormalities in the fetus.

American College of Obstetricians and Gynaecologists (ACOG) and Society for Maternal–Fetal Medicine (SMFM) [8] recommend CMA for prenatal diagnosis in cases with one or more fetal structural abnormalities. For patients with structurally normal fetus, either karyotype or CMA is recommended. A recent study [18] showed that 2.5% of patients will have clinically significant genomic imbalances that may be missed if the guidelines continue to suggest that karyotyping and CMA have equivalent diagnostic value for patients with no fetal ultrasound abnormality. The present study recommends that if cost is not an issue, CMA can be offered to all pregnant women undergoing invasive test.

Increased Frequency of Detection of Less Common, But Known Genomic Disorders

CMA can detect chromosome gains and losses as small as 0.05–0.1 Mb (50–100 kb) anywhere in the genome [19]. Some submicroscopic CNVs can cause recurrent or known genomic disorders such as Wolf Hirschhorn syndrome, Williams Beuren deletion syndrome and Di George syndrome. These contiguous stretches of deletions and duplications which occur between low copy repeat clusters mediated by nonallelic homologous recombination (NAHR) express variable phenotypes with incomplete penetrance, due to which their prevalence in the populations has been reported to be very low. The incidence of known microdeletion or microduplication syndromes is estimated to be 1:1000 to 1:25000 [20], is unrelated to maternal age and may manifest as moderate to severe disease. Out of 9.18% (34/370) clinically significant samples, we found 3.0% (11/370) samples with such recurrent microdeletion/duplication syndromes: 3p deletion syndrome (n = 1) (1/370), Wolf Hirschhorn syndrome (n = 2) (2/370), Cri du chat syndrome (n = 1) (1/370), Williams Beuren deletion syndrome (n = 1) (1/370), Williams Beuren region duplication syndrome (n = 1) (1/370), 15q duplication syndrome (n = 2) (2/370) and DiGeorge syndrome (n = 3) (3/370). Therefore, our data also show that such less common clinically known aneusomies are actually more frequent. This calls for strategic re-evaluation of the population prevalence of these contiguous gene syndromes.

Rare or Novel pCNVs

CMA has led to the discovery of new unreported clinically significant segmental deletions and duplications. Out of 34 prenatal samples with pCNVs, 30 samples had at least one known deletion or duplication which was documented with a phenotypic association in OMIM [21] and there were four samples with rare or novel CNVs which were not documented in OMIM but were overlapping with isolated reported cases.

Case 1 (Table 1-P15)

In a CVS sample of a patient with a fetus with increased NT (4.9 mm at 11.2 weeks gestation), a distal interstitial deletion of 10.1 Mb on 4q32.3q34.2 (166,220,800–176,350,810) was a rare finding. Increased nuchal translucency can be associated with congenital heart disease (CHD) [22]. Three genes in this deletion at 4q32.3q34.2, namely TLL1 (Tolloid-like-1), HPGD (15-hydroxyprostaglandin dehydrogenase), and HAND2 (Heart and neural crest derivatives-expressed protein 2), are known to be involved in cardiac morphogenesis. There is only one report which narrowed this critical region responsible for CHD seen in 4q deletion syndrome [23]. Deletion 4q32.3q34.2 has also been reported as a pathogenic locus with intellectual disability and global developmental delay in Decipher (patient ID 257358 and 286735). The karyotype of this prenatal sample was 46,inv(1)(p22q12),t(1;7)(q12;p15.3),del(4)(q32.3q34.2)dn, which showed a cluster of multiple rearrangements: an inversion, a balanced translocation and a deletion involving four chromosomes. This complex chromosome rearrangement (CCR) had occurred de novo, as none of the parents had inv(1) or t(1;7) or del(4)(q32.3q34.2). This suggests that the chromosomes at the embryo stage may have undergone chromothripsis and chromoanagenesis, a mechanism of formation of CCR in a congenital disorder or in cancers, as described recently [24].

Case 2 (Table 1-P32)

A small 187 kb subtelomeric deletion on 20q13.33 (62,762,136–62,949,149) was found in an amniotic fluid sample of a patient with fetal ultrasound showing agenesis of corpus callosum, depressed nasal bridge and congenital talipes equinovarus. 20q13.33 microdeletion syndrome was also reported in ORPHNET (orpha261311) [25] as a rare chromosomal anomaly syndrome characterized by intellectual disability, seizures and dysmorphic facial features, cognitive and language deficits, microcephaly and malformed hands and feet. In this sample, we could identify a defined subtelomeric deletion on 20q13.33 involving genes MYT1 and PCMTD2. Only a few patients have been described with a subtelomeric deletion on chromosome 20. Subtelomeric rearrangements not visible by conventional cytogenetic analysis have been reported to occur in approximately 5–7% of patients with unexplained mental retardation and physical abnormalities [26]. The smallest 20q13.33 microdeletion encompassing MYT1 and PCMTD2 was reported to be associated with severe mental retardation by Kroepfl et al. [27]. MYT1 regulate neuronal transcription and are involved in the proliferation and differentiation of oligodendrocytes, cells that form the myelin sheath in the central nervous system. Therefore, MYT1 can be associated with neurological disorders [27].

Cases 3 and 4 (Table 1-P2 and P13)

There were two novel duplications in the form of supernumerary marker chromosomes: SMC der(11) with 7.8 Mb duplication of 11p12p11.12 (42,922,228–50,768,675) and SMC der(13)t(10;13) with 10.1 Mb duplication 10q26.13q26.3 (125,266,022–135,434,178) and 7.9 Mb duplication of 13q11q12.13 (19,463,637–27,376,648) (published elsewhere) [2].

Molecular Characterization of SMCs

SMCs are detected by conventional karyotyping with GTG banding, as unexpected results in 0.072–0.075% of prenatal and 0.044% of postnatal patients [28]. They vary in size, structure, chromosome origin and gene content. Therefore, it is challenging to decide the clinical outcome of a marker chromosome. In the past, identification was attempted by FISH or spectral karyotyping. CMA has added clinical utility, as it characterized the SMCs as duplications with exact size and gene content, thus predicting their clinical outcome. CMA and karyotype detected SMC der(11) and SMC der(15) in the advanced maternal age group, one SMC der(15) in the abnormal fetal ultrasound group and one SMC der(13)t(10;13) which was a derivative chromosome inherited from a heterozygous mother who had a balanced translocation 46,XX,t(10;13) (q26;q12.3). Molecular characterization was possible for all four SMCs for better genetic counseling and future planning (published elsewhere) [2].

Limitations

Balanced translocations are not detected by CMA. However, truly balanced rearrangements do not predict an abnormal phenotype and so are carried to term by the parents.

Repository

We listed the pCNVs, VOUS and benign CNVs for the repository (Tables 2, 3a, b). We found 1.89% (7/370) of VOUS of size < 1 Mb. The results of previous studies by Shaffer et al. [12] and Wapner et al. [17] showed 2.7% and 3.4% karyotypically normal VOUS, respectively. The uncertainty of VOUS will resolve with the accumulation of larger datasets. Some CNVs (recurrent benign) are population based; therefore, formation of a repository of a database in the Indian context was attempted. Dominant gene alterations can be pathogenic with late onset, and recessive disease can result in fetuses with heterozygous deletions and a mutation in the intact allele [12]. Correlation of the phenotype, family history and ethnic background can help in such cases for counseling. It is important that both pCNVs and VOUS are conveyed to the parents with caution, and therefore, pretest and posttest counseling should be done by trained experts to reduce anxiety [29].

An increasing number of pregnancies are being screened by Non-Invasive Prenatal Screening (NIPS); however, ACMG recommends that invasive testing using either NGS or CMA will still be necessary to confirm pregnancies with the positive NIPS results where the fetus is suspected of having a chromosome abnormality [30].

Conclusion

The overall diagnostic yield of genomic imbalances was higher by CMA (9.18%) than by karyotyping (5.40%). The pCNVs were higher (5.40%) in pregnant women with abnormal fetal ultrasound than in all other referral groups with no fetal structural anomaly (average 0.94%). Therefore, CMA must be used as the first tier test in all cases with abnormal fetal ultrasound and if cost is not an issue, it can be offered to all pregnant women undergoing the invasive test, as the test results are faster and the diagnostic yield is higher by CMA than by karyotyping even in other groups.

Pretest and posttest genetic counseling by the expert team is essential.

Accumulation of more data will resolve the uncertainty of VOUS and redefine the prevalence of microdeletion and duplication syndromes in the population. Molecular characterization of the genomic imbalances by CMA allows recognition of the genes and their functions correlating with the phenotype for precise genetic counseling and discovery of novel syndromes.

Acknowledgements

We are thankful to Indian Council of Medical Research and Department of Health and research, New Delhi, for providing the research grant for this study (Project Code: 1.3.2.183/005). We also thank the patients, the referring clinicians, department of fetal medicine and the cytogenetics laboratory staff for their support.

Dr. Meena Bajaj Lall

is a Senior Consultant and Head, Clinical Cytogenetic Laboratory, Institute of Medical Genetics and Genomics at Sir Ganga Ram Hospital, New Delhi. She is also a Professor and teaching faculty for DNB programme and a Ph.D. guide. She gained her Ph.D. in 1986 and trained and worked in UK before successfully setting up this Cytogenetic Laboratory. Her main interests are Diagnostics and Research in Clinical Cytogenetics and Genomics involving karyotyping, fluorescence in situ hybridization and microarray for constitutional chromosomal aberrations in prenatal and postnatal samples and acquired aberrations in leukemia.graphic file with name 13224_2020_1413_Figa_HTML.jpg

Funding

This study was supported by funding grants from Indian Council of Medical Research/Department of Health Research (Project Code: 1.3.2.183/005).

Compliance with Ethical Standards

Conflict of interest

The authors declare that there is no conflict of interests.

Ethical Approval

The study was performed in accordance with the ethical standards of the responsible committee on human experimentation and with Helsinki Declaration of 1975, as revised in 2008. The study was approved by the ethics committee of our institute (EC/11/12/435).

Informed Consent

Informed consent was obtained from all the patients for being included in the study.

Footnotes

Dr. Lall Bajaj Meena Ph.D., Senior Consultant and Head, Clinical Cytogenetic Laboratory, Institute of Medical Genetics and Genomics at Sir Ganga Ram Hospital, New Delhi. She is also a Professor and teaching faculty for DNB programme and a Ph.D. guide. Agarwal Shruti Ph.D. Institute of Medical Genetics and Genomics at Sir Ganga Ram Hospital, New Delhi, India. Paliwal Preeti Ph.D. Institute of Medical Genetics and Genomics at Sir Ganga Ram Hospital, New Delhi, India. Saviour Pushpa Ph.D. Institute of Medical Genetics and Genomics at Sir Ganga Ram Hospital, New Delhi, India. Joshi Anju M.Sc. Institute of Medical Genetics and Genomics at Sir Ganga Ram Hospital, New Delhi, India. Joshi Arti M.Sc. Institute of Medical Genetics and Genomics at Sir Ganga Ram Hospital, New Delhi, India. Mahajan Surbhi Ph.D. Institute of Medical Genetics and Genomics at Sir Ganga Ram Hospital, New Delhi, India. Bijarnia-Mahay Sunita MBBS, DNB, DCH Institute of Medical Genetics and Genomics at Sir Ganga Ram Hospital, New Delhi, India. Puri Dua Ratna MBBS, MD, DM Institute of Medical Genetics and Genomics at Sir Ganga Ram Hospital, New Delhi, India. I. C. Verma MBBS, MRCP, DCH, MNAMS Institute of Medical Genetics and Genomics at Sir Ganga Ram Hospital, New Delhi, India.

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