| Literature DB >> 30915098 |
Yiyang Zhu1,2,3, Qunda Shan1,4, Jiayong Zheng5, Qunxi Cai2, Huanli Yang2, Jianhong Zhang3, Xiaodong Du4, Fan Jin1,6.
Abstract
In this study, we aimed to compare the efficiency of non-invasive prenatal testing (NIPT), karyotyping, and chromosomal micro-array (CMA) for the diagnosis of fetal chromosomal anomalies in the second and third trimesters. Pregnant women, who underwent amniocenteses for prenatal genetic diagnoses during their middle and late trimesters, were recruited at the Prenatal Diagnosis Center of Taizhou City. Maternal blood was separated for NIPT, and amniotic fluid cells were cultured for karyotyping and CMA. The diagnostic efficiency of NIPT for detecting fetal imbalanced anomalies was compared with karyotyping and CMA. A total of 69 fetal chromosomal imbalances were confirmed by CMA, 37 were diagnosed by NIPT and 35 were found by karyotyping. The sensitivities of NIPT and karyotyping for diagnosing aneuploidy were 96.3% and 100% respectively. Only one mosaic sexual chromosome monosomy was misdiagnosed by NIPT, whereas the sensitivity of NIPT and karyotyping was 70% and 30%, respectively, for detecting pathogenic deletions and duplications sized from 5-20 Mb. Taken together, our results suggest that the efficiency of NIPT was similar to the formula karyotyping for detecting chromosome imbalance in the second and third trimesters.Entities:
Keywords: chromosome microarray; copy number variant; karyotyping; non-invasive prenatal testing; prenatal diagnosis
Year: 2019 PMID: 30915098 PMCID: PMC6421281 DOI: 10.3389/fgene.2019.00069
Source DB: PubMed Journal: Front Genet ISSN: 1664-8021 Impact factor: 4.599
Demographic characteristic of samples.
| Variables | Mean/cases |
|---|---|
| Cases of participants | 802 |
| Median age (years) | 31 (17–46) |
| Median gestational weeks | 23 (16–38) |
| Indications for amniocenteses | |
| Ultrasound abnormal | 324 (40.1%) |
| Age ≥ 35 years | 213 (26.4%) |
| Positive biochemical screening | 449 (55.6%) |
| History of birth defect | 46 (5.7%) |
| Parameters for NIPT | |
| useable Reads(Mb) | 3.97 ± 0.62 |
| Average cffDNA concentration(%) | 13.30 ± 5.65 |
| Chromosomal anomalies | |
| Total imbalance(confirmed by CMA) | 69 (8.5%) |
| Aneuploidy | 27 (3.3%) |
| Deletions/duplications | 42 (5.3%) |
| Pathogenic or likely pathogenic del/dup∗ | 29 (3.6%) |
Category of aneuploids detected by CMA, NIPT, and karyotype.
| Aneuploids | NIPT(+) | Karyotype (+) |
|---|---|---|
| arr(9)∗3 | 1 | 1 |
| arr(12)∗2–3 | 1 | 1 |
| arr(13)∗3 | 1 | 1 |
| arr(18)∗2–3 | 1 | 1 |
| arr(18)∗3 | 6 | 6 |
| arr(21)∗3 | 10 | 10 |
| arr(X)∗1 | 3 | 3 |
| arr(X)∗1–2 | 1# | 2 |
| arr (X)∗2,(Y)∗1 | 2 | 2 |
| sum | 26 | 27 |
List of pathogenic CNVs with sizes lager than 2 Mb.
| pathogenic or likely dup/del confirmed by CMA | NIPT | karyotype | CNVs size | unbalanced type |
|---|---|---|---|---|
| 18p11.1(13,289,942-20,619,752)∗3 | - | + | 2.5 | dup |
| 5p15.33p14.3(113,576-18,961,778)∗1 | + | + | 18.8 | del |
| 4p16.3-15.33(3,890,466 - 17,492,847)∗1 | + | + | 13.7 | del |
| 13q33.1q34(102,381,998-115,107,733)∗1 | + | - | 12.7 | del |
| 5q35.1q35.3(172,795,779-180,715,096)∗1 | + | + | 7.9 | del |
| 22q11.21(18,631,364-21,800,471)∗1 | - | - | 3.2 | del |
| 17q23.1q23.2(58,097,017-60,339,091)∗3 | + | - | 2.2 | dup |
| 14q21.3(50,729,861-50,821,428)∗1 | - | - | 9.3 | del |
| Xp21.3p21.1(28,808,531-35,822,212)∗1 | - | - | 7.0 | del |
| Xq27.1q28(138,487.888-154,930,046)∗2 | - | - | 16.4 | dup |
| 2q13-14.1(108,730,140 - 119,858,077)∗3 | + | - | 11.0 | dup |
| 16p13.1-11.2(203,350 - 30,420,433)∗2-3 | + | + | 30.0 | dup |
| dup1q32.1-q42(202,164,173 - 229,936,143)∗3 | + | + | 27.0 | imbalanced translocation# |
| xq24-q28(120,715,800 - 156,040,894)∗1 | + | + | 35.0 | imbalanced translocation# |
Efficiency of NIPT and karyotype compared to CMA for detecting chromosome imbalance.
| Sensitivity | SE | Specificity | SE | PPV | SE | NPV | SE | |
|---|---|---|---|---|---|---|---|---|
| karyotype | 0.507 | 0.060 | 0.993 | 0.003 | 0.875 | 0.052 | 0.956 | 0.007 |
| NIPT | 0.536 | 0.060 | 0.984 | 0.005 | 0.755 | 0.061 | 0.958 | 0.007 |
| karyotype | 1.000 | 0.000 | 0.996 | 0.002 | 0.900 | 0.055 | 1.000 | 0 |
| NIPT | 0.963 | 0.036 | 0.993 | 0.003 | 0.839 | 0.066 | 0.999 | 0.001 |
| karyotype | 0.241 | 0.079 | 0.995 | 0.003 | 0.636 | 0.145 | 0.971 | 0.006 |
| NIPT | 0.310 | 0.086 | 0.996 | 0.002 | 0.750 | 0.125 | 0.973 | 0.006 |
Efficiency of NIPT and karyotyping for detecting pathogenic CNVs at various resolution levels.
| CNV Size | NIPT | Karyotyping | ||||||
|---|---|---|---|---|---|---|---|---|
| Sen | Spe | PPV | NPV | Sen | Spe | PPV | NPV | |
| >20M | 0.967 | 0.988∗ | 0.763∗ | 0.999 | 1.000 | 0.997∗ | 0.938 | 1.000 |
| 5–20M | 0.700∗ | 0.999 | 0.875 | 0.996 | 0.300∗ | 0.999 | 0.750 | 0.990 |
| 1–5M | 0.100 | 0.999 | 0.500 | 0.988 | 0.100 | 1.000 | 1.000 | 0.988 |
| <1M | 0.000 | 1.000 | 0.000 | 0.985 | 0.000 | 1.000 | 0.000 | 0.985 |
FIGURE 1The ROC curve was created by plotting the sensitivity (horizontal axis) and 1-specificity (horizontal axis) of NIPT (blue) and karyotyping (red) for chromosomal imbalance var from 0.1–160 Mb. the AUC of NIPT and karyotyping were 0.786 and 0.81, respectively (Z = 0.314, p = 0.363). The curve cutoff was calculated by formula sensitivity + specificity-1, the maximum values of NIPT and karyotyping were 0.655 and 0.675, which corresponded to the resolution values of 5.4 M and 13.2 M, respectively.