Pathogenic Chromosomal Abnormalities Research Articles

Retrospective study revealed integration of CNV-seq and karyotype analysis is an effective strategy for prenatal diagnosis of chromosomal abnormalities

Fetal chromosomal abnormalities are the main cause of adverse pregnancy outcomes and are the focus of invasive prenatal diagnosis. Recent studies have demonstrated that various techniques have distinct advantages. Achieving high-resolution and effective prenatal chromosomal abnormality diagnosis requires a multi-technology integration strategy. Based on retrospective samples from a single center, we propose that integrating CNV-seq and karyotype analysis is an effective strategy for prenatal diagnosis of chromosomal abnormalities. In this study, 13.80% of the pregnant women (347/2514) were found to have likely pathogenic or pathogenic fetal chromosomal abnormalities using this integrated approach. Among these cases, 53.89% (187/347) had consistent chromosomal abnormalities detected by both CNV-seq and karyotyping analysis, while 19.02% (66/347) and 27.09% (94/347) of cases were diagnosed solely by CNV-seq or karyotyping, respectively. Fetal chromosomal abnormalities were identified in 18.39% of samples with abnormal ultrasound, which was significantly higher than the percentage found in samples with normal ultrasound (p < 0.001). Samples with multiple ultrasound abnormalities and single-indicator ultrasound abnormalities such as nasal bone dysplasia, renal dysplasia, or echogenic fetal bowel also had higher rates of chromosomal abnormalities (p < 0.05) compared to normal samples. Analyzing samples with Trio family data (N = 521) revealed that about 94% of variants of uncertain significance were inherited from parents and were non-pathogenic. Overall, integrating CNV-seq and karyotype analysis is an effective strategy for prenatal diagnosis of chromosomal abnormalities. This study provides valuable insights for correlating prenatal screening indicators with chromosomal abnormalities.

Efficiency of copy number variation sequencing combined with karyotyping in fetuses with congenital heart disease and the following outcomes

BackgroundBoth copy number variant-sequencing (CNV-seq) and karyotype analysis have been used as powerful tools in the genetic aetiology of fetuses with congenital heart diseases (CHD). However, CNV-seq brings clinicians more confusions to interpret the detection results related to CHD with or without extracardiac abnormalities. Hence, we conducted this study to investigate the clinical value of CNV-seq in fetuses with CHD.ResultsA total of 167 patients with fetal CHD including 36 single CHD (sCHD), 41 compound CHD (cCHD) and 90 non-isolated CHD (niCHD) were recruited into the study. 28 cases (16.77%, 28/167) were revealed with chromosomal abnormalities at the level of karyotype. The pathogenic detection rate (DR) of CNV-seq (23.17%, 19/82) was higher than that of karyotyping (15.85%, 13/82) in 82 cases by CNV-seq and karyotyping simultaneously. The DR of pathogenic copy number variations (PCNVs) (31.43%) was higher in niCHD subgroup than that in sCHD and cCHD (9.52% and 23.08%). Conotruncal defect (CTD) was one of the most common heart malformations with the highest DR of PCNVs (50%) in 7 categories of CHD. In terms of all the pregnancy outcomes, 67 (40.12%) cases were terminated and 100 (59.88%) cases were live neonates. Only two among 34 cases with a pathogenic genetic result chose to continue the pregnancy.ConclusionsCNV-seq combined with karyotyping is a reliable and accurate prenatal technique for identifying pathogenic chromosomal abnormalities associated with fetal CHD with or without extracardiac abnormalities, which can assist clinicians to perform detailed genetic counselling with regard to the etiology and related outcomes of CHD.

Analysis of molecular genetic causes of congenital heart defects in children

In 10–20% of cases, congenital heart defects are caused by chromosomal abnormalities and gene mutation. Purpose. The purpose of the study: analysis of the genetic causes of congenital heart defects in children.Materials and Methods. The analysis of the medical history and the results of Genetics and Molecular Research (GMR) in 15 children with congenital heart defects were carried out.Results. Genome-wide DNA sequencing in patients with congenital heart defects revealed deletion 21q22.3 with duplication 4q31.1 ->qter and pathogenic variants in the genes PPP1CB, FN1, PHF6, CITIED2, ARID2, KMT2A, CIT, JAG1, MED13L, ELN, CHRNA3, KCNK9. Conclusion. In the vast majority of cases in the examined children, congenital heart defects were caused by pathogenic gene variants or chromosomal abnormalities. Congenital heart defects are an absolute indication for cytogenetic and molecular genetic examination.

Clinical Experience of Prenatal Chromosomal Microarray Analysis in 6159 Ultrasonically Abnormal Fetuses.

A single-center retrospective study of G-band karyotyping and chromosomal microarray analysis (CMA) for the invasive prenatal diagnosis of 6159 fetuses with ultrasound abnormalities was conducted. This study aimed to investigate the incidence rates of chromosomal abnormalities and pregnancy outcomes and postpartum clinical manifestations by long-term follow-up and to explore the correlation between different types of prenatal ultrasound abnormalities and pathogenic chromosomal abnormalities. The overall incidence of pathogenic chromosomal aberrations in fetuses with ultrasound abnormalities was 7.58% (467/6159), which comprised 41.7% (195/467) with chromosome number abnormalities, 57.6% (269/467) with pathogenic copy-number variations (pCNVs), and 0.64% (3/467) with uniparental disomy (UPD). In addition, 1.72% (106/6159) with likely pathogenic copy-number variations (lpCNVs) and 3.04% (187/6159) with variants of unknown significance (VOUS) were detected by CMA. Ultrasound abnormalities were categorized into structural anomalies and soft marker anomalies. The incidence rate of pathogenic and likely pathogenic chromosomal abnormalities was significantly higher among fetuses with structural anomalies than soft markers (11.13% vs 7.59%, p < 0.01). We retrospectively analyzed the prenatal genetic outcomes for a large cohort of fetuses with different types of ultrasound abnormalities. The present study showed that the chromosomal abnormality rate and clinical outcomes of fetuses with different types of ultrasound abnormalities varied greatly. Our data have important implications for prenatal genetic counseling for fetuses with different types of ultrasound abnormalities.

Analysis of genetic testing in fetuses with congenital heart disease of single atria and/or single ventricle in a Chinese prenatal cohort

ObjectiveThis study aimed to investigate the genetic etiologies of fetuses with single atria and/or ventricle (SA or/and SV) using different genetic detection methods in a Chinese prenatal cohort.MethodsIn this retrospective study, the various genetic results of 44 fetuses with SA and/or SV were analyzed. All 44 cases were tested by chromosomal microarray analysis (CMA) and karyotyping simultaneously, and 8 underwent whole exome sequencing (WES). Data on the pregnancy outcomes and neonatal prognoses were collected from medical records and postnatal follow-up.ResultsThe whole cohort of 44 fetuses included 14 SA cases (31.8%), 12 SV cases (27.3%), and 18 SA and SV cases (40.9%). A total of 9 pathogenic genetic results were detected by conventional karyotyping, CMA and trio-WES, indicating an overall detection rate of 20.5% (9/44). Six pathogenic chromosomal abnormalities were identified by CMA among the 44 cases, showing a detection rate of 13.6% (6/44). Two microdeletions being missed by karyotyping were diagnosed by CMA, showing an additional diagnostic yield of 4.5% for CMA in present cohort(2/44). Three pathogenic variants in two fetuses were identified by WES, indicating an incremental diagnostic yield of 4.5%(2/44) for WES in fetuses with SA or/and SV.ConclusionIn this study, WES achieved an additional diagnostic yield of 4.5% in fetuses with SA or/and SV. WES is valuable for fetal prognosis assessment and could add diagnostic value for fetuses with SA and/or SV when CMA is negative. It would be a valuable technique for the identification of underlying pathogenic variants in prenatal cohorts.

P-509 Genomic characterization of couples and their embryos/fetuses with idiopathic recurrent pregnancy loss

Abstract Study question To what extent do genomic variants contribute to idiopathic recurrent pregnancy loss (RPL)? Summary answer Pathogenic uniparental disomy, copy number variations, and single nucleotide variants were identified in 18 of 83 couples and their embryos/fetuses with idiopathic RPL. What is known already RPL is defined as the loss of two or more pregnancies before 24 weeks gestation. The etiologies of RPL include antiphospholipid antibody syndrome, and anatomic, endocrinological and chromosomal abnormalities. About 50% of RPL is unexplained and is termed as idiopathic RPL. Chromosomal aberrations and genetic variants have been identified to be associated with idiopathic RPL, demonstrating that genomic factors underlie idiopathic RPL. Study design, size, duration We applied genome sequencing to study genomic variations that causing idiopathic RPL. Couples and their embryos/fetuses were collected and sequenced. Genomic variations from women and men experiencing RPL and their embryos/fetuses were analyzed to fully characterize the genomic contribution to idiopathic RPL. Participants/materials, setting, methods We recruited 83 Chinese couples with idiopathic RPL and collected 249 samples from their embryos/fetuses and peripheral blood. Genomic DNA of those samples were sequenced, and pathogenic chromosomal abnormalities and genetic variants were identified. Main results and the role of chance Generally, pathogenic variants were identified in RPL females, males and embryos/fetuses. One uniparental disomy, 9 copy number variations, and 1 homozygous and 1 de novo single nucleotide variants (SNVs) were identified pathogenic in 12 RPL embryos/fetuses. Five and three pathogenic SNVs were identified in 4 RPL females and 2 RPL males respectively. Many SNVs affect the genes involved in sexual development. In total, 18 of 83 (21.69%) couples with idiopathic RPL could be explained by genomic variation, providing information for clinical treatments. Limitations, reasons for caution The sample size is relatively small, and they are from one medical center. Wider implications of the findings Genomic variations in females, males and their embryos/fetuses can cause RPL, and identification of genetic causes will facilitate further precision intervention. Trial registration number not applicable

Reproductive outcomes in couples with sporadic miscarriage after embryonic chromosomal microarray analysis

Objectives Chromosomal microarray analysis (CMA) has been widely applied to genetic diagnosis in miscarriages in clinical practice. However, the prognostic value of CMA testing of products of conception (POCs) after the first clinical miscarriage remains unknown. The aim of this study was to evaluate the reproductive outcomes after embryonic genetic testing by CMA in SM couples. Methods In this retrospective study, a total of 1142 SM couples referred for embryonic genetic testing by CMA, and 1022 couples were successfully followed up after CMA. Results Among 1130 cases without significant maternal cell contamination, pathogenic chromosomal abnormalities were detected in 680 cases (60.2%). The subsequent live birth rate did not differ significantly between couples with chromosomally abnormal and normal miscarriage (88.6% vs. 91.1%, p = .240), as well as the cumulative live birth rate (94.5% vs. 96.7%, p = .131). Couples with partial aneuploid miscarriage had a higher likelihood of spontaneous abortion both in the subsequent pregnancy (19.0% vs. 6.5%, p = .037) and cumulative pregnancies (19.0% vs. 6.8%, p = .044) when compared with couples with chromosomally normal miscarriage. Conclusions SM couples with chromosomally abnormal miscarriage manifested with a similar reproductive prognosis to couples with chromosomally normal miscarriage. Key messages CMA testing of POCs could provide an accurate genetic diagnosis for couples with SM. The live birth rate of couples with partial aneuploid miscarriage was as high as couples with chromosomally normal miscarriage, despite a higher risk of adverse pregnancy event. Among couples with the most common single aneuploid miscarriage, the cumulative live birth rates of couples with trisomy 16, sex chromosomal abnormalities and trisomy 22 were 94.1%, 95.8% and 84.0%, respectively.

Combined use of karyotyping and copy number variation sequencing technology in prenatal diagnosis.

Karyotyping and genome copy number variation sequencing (CNV-seq) are two techniques frequently used in prenatal diagnosis. This study aimed to explore the diagnostic potential of using a combination of these two methods in order to provide a more accurate clinical basis for prenatal diagnosis. We selected 822 pregnant women undergoing amniocentesis and separated them into six groups according to different risk indicators. Karyotyping and CNV-seq were performed simultaneously to compare the diagnostic performance of the two methods. Among the different amniocentesis indicators, abnormal fetal ultrasounds accounted for 39.29% of the total number of examinees and made up the largest group. The abnormal detection rate of non-invasive prenatal testing (NIPT) high risk was 37.93% and significantly higher than the other five groups (P<0.05). The abnormal detection rate of mixed indicators was significantly higher than the history of the adverse reproductive outcomes group (P = 0.0151). The two methods combined found a total of 119 abnormal cases (14.48%). Karyotyping detected 57 cases (6.93%) of abnormal karyotypes, 30 numerical aberrations, and 27 structural aberrations. CNV-seq identified 99 cases (12.04%) with altered CNVs, 30 cases of chromosome aneuploidies, and 69 structural aberrations (28 pathogenic, eight that were likely pathogenic, and 33 microdeletion/duplication variants of uncertain significance (VUS)). Thirty-seven cases were found abnormal by both methods, 20 cases were detected abnormally by karyotyping (mainly mutual translocation and mostly balanced), and 62 cases of microdeletion/duplication were detected by CNV-seq. Steroid sulfatase gene (STS) deletion was identified at chromosome Xp22.31 in three cases. Postnatal follow-up confirmed that babies manifested skin abnormalities one week after birth. Six fetuses had Xp22.31 duplications ranging from 1.5 Kb to 1.7 Mb that were detected by CNV-seq. Follow-up showed that five babies presented no abnormalities during follow-up, except for one terminated pregnancy due to a history of adverse reproductive outcomes. The combination of using CNV-seq and karyotyping significantly improved the detection rate of fetal pathogenic chromosomal abnormalities. CNV-seq is an effective complement to karyotyping and improves the accuracy of prenatal diagnosis.

Prenatal detection of chromosomal abnormalities and copy number variants in fetuses with congenital gastrointestinal obstruction

BackgroundCongenital gastrointestinal obstruction (CGIO) mainly refers to the stenosis or atresia of any part from the esophagus to the anus and is one of the most common surgical causes in the neonatal period. The concept of genetic factors as an etiology of CGIO has been accepted, but investigations about CGIO have mainly focused on aneuploidy, and the focus has been on duodenal obstruction. The objective of this study was to evaluate the risk of chromosome aberrations (including numeric and structural aberrations) in different types of CGIO. A second objective was to assess the risk of abnormal CNVs detected by copy number variation sequencing (CNV-seq) in fetuses with different types of CGIO.MethodsData from pregnancies referred for invasive testing and CNV-seq due to sonographic diagnosis of fetal CGIO from 2015 to 2020 were obtained retrospectively from the computerized database. The rates of chromosome aberrations and abnormal CNV-seq findings for isolated CGIOs and complicated CGIOs and different types of CGIOs were calculated.ResultsOf the 240 fetuses with CGIO that underwent karyotyping, the detection rate of karyotype abnormalities in complicated CGIO was significantly higher than that of the isolated group (33.8% vs. 10.8%, p < 0.01). Ninety-three cases with normal karyotypes further underwent CNV-seq, and CNV-seq revealed an incremental diagnostic value of 9.7% over conventional karyotyping. In addition, the incremental diagnostic yield of CNV-seq analysis in complicated CGIOs (20%) was higher than that in isolated CGIOs (4.8%), and the highest prevalence of pathogenic CNVs/likely pathogenic CNVs was found in the duodenal stenosis/atresia group (17.5%), followed by the anorectal malformation group (15.4%). The 13q deletion, 10q26 deletion, 4q24 deletion, and 2p24 might be additional genetic etiologies of duodenal stenosis/atresia.ConclusionsThe risk of pathogenic chromosomal abnormalities and CNVs increased in the complicated CGIO group compared to that in the isolated CGIO group, especially when fetuses presented duodenal obstruction (DO) and anorectal malformation. CNV-seq was recommended to detect submicroscopic chromosomal aberrations for DO and anorectal malformation when the karyotype was normal. The relationship between genotypes and phenotypes needs to be explored in the future to facilitate prenatal diagnosis of fetal CGIO and yield new clues into their etiologies.

Prenatal ultrasound features and genetic analysis for 17q12 microdeletion syndrome.

The 17q12 microdeletion syndrome is a type of syndrome caused by a deletion of 1.4 to 1.8 Mb in the 17q12 region of the chromosome. The main clinical features of the syndrome are structural or functional abnormalities in the kidney and urethra, type 5 diabetes, and neurodevelopmental or neuropsychiatric disorders. The diverse range of phenotypes associated with 17q12 microdeletion limited clinical recognition and diagnosis. In addition, the phenotypic description of this microdeletion is mainly about postpartum. Due to the rarity of the 17q12 microdeletion itself, studies on the prenatal phenotype of the 17q12 microdeletion are limited. This study aims to analyze the prenatal ultrasound features of 17q12 microdeletion, and to investigate the possibility of genotype-phenotype relationship for providing evidence for genetic counseling in such pregnancies. A total of 3 320 pregnant women and their fetuses were collected for the detection of chromosome copy number variation sequencing (CNV-Seq) due to different ultrasound anomalies in Xiangya Hospital of Central South University. The clinical data of pregnant women and their fetuses who were found to harbor 17q12 microdeletion were reviewed, including maternal age, fetus ultrasound findings, gestational week of the invasive procedure, CNV-Seq results, and the pregnancy outcome. CNV-Seq was tested in the parents to verify whether the abnormality was de novo or inherited. The prenatal ultrasound features and CNV-Seq test results of these 12 fetuses were analyzed and their pregnancy outcomes were followed up. Approximately 0.36% (12/3 320) of fetuses were detected to have 17q12 microdeletion, all characterized as renal abnormalities, accounting for 4.2% (12/288) of all prenatal ultrasound with renal abnormalities, accounting for 48% (12/25) of prenatal ultrasound with renal abnormalities and pathogenic chromosomal abnormalities. The sizes of 17q12 deletion ranged from 1.4 to 1.7 Mb, and all of them included the HNF1B gene. Nine cases were de novo, 2 inherited from the mother, and 1 inherited from father. Among 12 fetuses with 17q12 deletion, 11 cases of prenatal ultrasound suggested bilateral hyperechogenic kidneys and 1 case only showed renal cyst, in which 3 fetuses with enlarged kidneys, 1 with clubfeet, and 1 with subependymal cyst. Pregnancy outcomes were available for 11 of the 12 fetuses. Of them, the parents of 9 fetuses with de novo deletion chose to terminate the pregnancy, and 2 live birth babies inherited from their mother with normal renal function had persistent renal echogenicity enhancement after birth. Bilateral hyperechogenic kidneys show strikingly correlation with 17q12 microdeletion, suggesting the necessity of chromosome copy numbers detection for fetuses with hyperechogenic kidneys.

Correlation between mild fetal ventriculomegaly, chromosomal abnormalities, and copy number variations

Background Lateral ventriculomegaly is the most common abnormality of the fetal nervous system. This study investigated the incidence of chromosomal abnormalities and copy number variations (CNVs) in fetuses with mild ventriculomegaly (MV) based on various ultrasonic manifestations, identifying their corresponding features via ultrasound examination. Methods A retrospective analysis was performed on ultrasound and neurosonogram (NSG) manifestations and genetic profiles of 334 cases with MV and invasive prenatal diagnosis. Results Three hundred thirty-four cases with fetal MV were assessed via karyotyping. Further chromosomal microarray analysis (CMA) was performed in 182 cases with normal chromosome karyotypes; pathogenic chromosomal copy number variations (CNVs) were found in eight cases with a prevalence of 4.4% (8/182). In this study, the incidence rate of pathogenic abnormalities of chromosomes and CNVs was 5.7% (19/334). Based on whether lateral ventriculomegaly was complicated with other ultrasonic features, the 334 patients were divided into two groups: (1) 175 cases exhibited isolated ventriculomegaly (IVM; 52.4%, 175/334 group A) including two (1.1%, 2/175) with pathogenic chromosomal karyotype abnormalities—both trisomy 21; (2) 159 cases exhibited non-isolated ventriculomegaly (N-IVM; 47.6%, 159/334) with pathogenic chromosomal abnormalities and CNVs detected in17 cases (10.7%, 17/159). The N-IVM group was further divided into two groups: 105 cases exhibited MV with undetermined ultrasonic abnormalities (31.4%, 105/334, group B) with pathogenic chromosomal abnormalities and CNVs detected in eight cases (7.6%, 8/105); 54 cases exhibited MV with structural malformations (16.2%, 54/334, group C) of which nine cases (16.7%, 9/54) presented both pathogenic chromosomal abnormalities and CNVs, and five cases (55.6%, 5/9) were diagnosed with various cortical malformations. The pathogenicity rates of the IVM and N-IVM groups were statistically different (χ 2=14.159, p = 0.000). There were significant differences (χ2=7.992, p = 0.005) among groups A, B, and C. Conclusions Combinations of various ultrasonic abnormalities significantly affect the risk of pathogenic chromosomal abnormalities and CNVs in fetuses with MV. Cases involving cortical malformations require particular attention to the occurrence of pathogenic genetic abnormalities. When fetal MV is detected, a comprehensive ultrasound examination focusing on undetermined ultrasonic abnormalities is critical. Fetal NSG should be conducted to detect potential cerebral cortical malformation easily missed by routine ultrasound.

Identification of Chromosomal Abnormalities in Early Pregnancy Loss Using a High-Throughput Ligation-Dependent Probe Amplification–Based Assay

Embryonic chromosomal abnormalities are the major cause of miscarriage. An accurate, rapid, and cheap method of chromosome analysis in miscarriage is warranted in clinical practice. Thus, a high-throughput ligation-dependent probe amplification (HLPA)-based method of detecting aneuploidies and copy number variations in miscarriage was developed. A total of 1060 cases of miscarriage were assessed. Each specimen was subjected to quantitative fluorescence (QF)-PCR/HLPA and chromosomal microarray analysis (CMA) in parallel. All 1060 samples were successfully analyzed using both methods; of these samples, 1.7% (18/1060) were identified as having significant maternal cell contamination. Among the remaining 1042 cases without significant maternal cell contamination, QF-PCR/HLPA reached a diagnostic yield of 59.6% (621/1042), which is comparable to the yield of 60.3% (628/1042) with CMA. Compared with CMA results, the sensitivity and specificity of QF-PCR/HLPA in the identification of total pathogenic chromosomal abnormalities were 98.9% and 100%, respectively. Furthermore, the overall prevalence of chromosomal abnormalities in cases of spontaneous abortion was not significantly different from that in cases of recurrent miscarriage (61.3% versus 58.5%). In summary, QF-PCR/HLPA rapidly and accurately identified chromosomal abnormalities at a comparable performance and lower cost as compared with CMA. Combining simplicity and accuracy with cost-effectiveness, QF-PCR/HLPA may serve as apromising approach to routine genetic testing in miscarriage in clinical practice.

Clinical application of chromosomal microarray analysis for fetuses with craniofacial malformations

BackgroundThe potential correlations between chromosomal abnormalities and craniofacial malformations (CFMs) remain a challenge in prenatal diagnosis. This study aimed to evaluate 118 fetuses with CFMs by applying chromosomal microarray analysis (CMA) and G-banded chromosome analysis.ResultsOf the 118 cases in this study, 39.8% were isolated CFMs (47/118) whereas 60.2% were non-isolated CFMs (71/118). The detection rate of chromosomal abnormalities in non-isolated CFM fetuses was significantly higher than that in isolated CFM fetuses (26/71 vs. 7/47, p = 0.01). Compared to the 16 fetuses (16/104; 15.4%) with pathogenic chromosomal abnormalities detected by karyotype analysis, CMA identified a total of 33 fetuses (33/118; 28.0%) with clinically significant findings. These 33 fetuses included cases with aneuploidy abnormalities (14/118; 11.9%), microdeletion/microduplication syndromes (9/118; 7.6%), and other pathogenic copy number variations (CNVs) only (10/118; 8.5%).We further explored the CNV/phenotype correlation and found a series of clear or suspected dosage-sensitive CFM genes including TBX1, MAPK1, PCYT1A, DLG1, LHX1, SHH, SF3B4, FOXC1, ZIC2, CREBBP, SNRPB, and CSNK2A1.ConclusionThese findings enrich our understanding of the potential causative CNVs and genes in CFMs. Identification of the genetic basis of CFMs contributes to our understanding of their pathogenesis and allows detailed genetic counselling.

Analysis of tissue from pregnancy loss and aborted fetus with ultrasound anomaly using subtelomeric MLPA and chromosomal array analysis

Objective To evaluate the incidence and types of chromosomal abnormalities in pregnancy loss and aborted fetuses with anomaly and compare the performance of subtelomeric MLPA and chromosomal microarray analysis (CMA) in these specimens. Methods Samples were collected from spontaneous miscarriages, stillbirths and aborted fetuses with anomaly between January 2015 and April 2019. Chromosomal abnormalities were detected using subtelomeric MLPA and CMA. Results Among the 172 miscarriage samples, CMA detected pathogenic chromosomal abnormalities in 88 cases. MLPA could identified all aneuploidies and most pathogenic CNVs, missing all polyploidies; Of the 30 stillbirths, one pathogenic CNV and two VOUS were identified by CMA, all of which were missed from MLPA; Of the 135 aborted fetuses with anomaly, CMA identified pathogenic chromosomal abnormalities in 32 fetuses (23.7%); 18.95% in fetuses with isolated, and 35% in fetuses with multiple anomalies. MLPA can identify all aneuploidies but missing most pathogenic CNVs. Conclusion Our systematical comparison of subtelomeric MLPA and CMA for chromosomal analysis of tissue from pregnancy loss and aborted fetuses with anomaly is useful for assessing clinical utility of these techniques. MLPA screening, coupled with CMA analysis, is a cost-effective approach to detect chromosomal abnormalities in miscarriage and anomalous fetuses. However, MLPA might not be appropriate for chromosome analysis in stillbirth without structural anomaly; further research with more samples is needed.

Preterm Birth of Infants Prenatally Diagnosed with Congenital Heart Disease, Characteristics, Associations, and Outcomes.

There are limited data on the relation between congenital heart disease (CHD) and preterm birth (PTB). We aimed to estimate the risk of PTB in newborns with CHD, to study associations and risk factors (modifiable and non-modifiable) as well as investigate postnatal outcomes. This was a retrospective cohort study of 336 pregnancies diagnosed with CHD between 2011 and 2016. Groups consisted of those delivered at or after 37weeks, and those who delivered prior to 37weeks. Collected data included maternal and fetal characteristics as well postnatal outcomes. Complete data were obtained from 237 singleton pregnancies. The overall proportion of PTB was 23.2% for all CHD, of which 38.2% were spontaneous PTB which was almost unchanged after excluding extracardiac anomalies and pathogenic chromosomal abnormalities. Significant non-modifiable risk factors were pregnancy-related HTN disorders (P < 0.001), fetal growth restriction (P = 0.01), and pathogenic chromosomal abnormalities (P = 0.046). Significant PTB modifiable risk factors included prenatal marijuana use (P = 0.01). Pregnancies delivered at 37-38weeks had significantly more newborns with birthweight < 2500 g (P < 0.001), required more pre-operative NICU support including intubation (P = 0.049), vasopressors (P = 0.04), prostaglandins (P = 0.003), antibiotics (P = 0.01), and had longer hospital stay (P = 0.001) than those delivered at ≥ 39weeks. Prenatally diagnosed pregnancies with CHD had higher PTB rate compared to the general population, with spontaneous PTB comprising 38.2% of these preterm deliveries. Most PTB risk factors were non-modifiable, however, significant modifiable factors included marijuana use in pregnancy. Outcomes were favorable in neonates delivered at or beyond 39weeks.

Chromosomal microarray analysis in the investigation of prenatally diagnosed congenital heart disease

Chromosomal microarray analysis has emerged as a primary diagnostic tool in prenatally diagnosed congenital heart disease and other structural anomalies in clinical practice. Our study aimed to investigate the diagnostic yield of microarray analysis as a first-tier test for chromosomal abnormalities in fetuses with both isolated and nonisolated congenital heart disease and to identify the association of different pathogenic chromosomal abnormalities with different subgroups of congenital heart disease. Retrospective data from 217 pregnancies that were diagnosed with congenital heart disease between 2011 and 2016 were reviewed. All pregnancies were investigated with the use of microarray analysis during the study period. Classification of chromosomal abnormalities was done based on American College of Medical Genetics and Genomics guidelines into (1) pathogenic chromosomal abnormalities that included numeric chromosomal abnormalities (aneuploidy and partial aneuploidy) and pathogenic copy number variants (22q11.2 deletion and other microdeletions/microduplications), (2) variants of uncertain significance, and (3) normal findings. Our study found a detection rate for pathogenic chromosomal abnormalities (numeric and pathogenic copy number variants) of 36.9% in pregnancies (n=80) that were diagnosed prenatally with congenital heart disease who underwent invasive testing with chromosomal microarray. The detection rate for numeric abnormalities was 29.5% (n=64) and for pathogenic copy number variants was 7.4% (n=16) of which 4.2% were 22q11.2 deletion and 3.2% were other pathogenic copy number variants, most of which theoretically could have been missed by the use of conventional karyotype alone. Pathogenic copy number variants were most common in conotruncal defects (19.6%; 11/56) that included 42.9% in cases of interrupted aortic arch, 23.8% in cases of tetralogy of Fallot, 13.3% in cases of transposition of the great arteries, and 8.3% in cases of double outlet right ventricle. Of these changes, 81.8% were 22q11.2 deletion, and 18.2% were other microdeletions/microduplications. After conotruncal defects, pathogenic copy number variants were most common in right ventricular outflow tract and left ventricular outflow tract groups (8% and 2.2%, respectively) in which none were 22q11.2 deletion. Pathogenic chromosomal abnormalities (numeric and pathogenic copy number variants) detected by chromosomal microarray analysis were significantly more common in the nonisolated congenital heart disease group (64.5%; n=49) compared with the isolated group (22%; n=31; P<.001). In pregnancies that were diagnosed with congenital heart disease and had undergone diagnostic genetic testing, our study showed that chromosomal microarray analysis has an added value in the detection of pathogenic chromosomal abnormalities compared with conventional karyotype, particularly in cases of pathogenic copy number variants. This yield is influenced not only by the type of congenital heart disease but also by the presence of extracardiac anomalies.

Subchromosomal anomalies in small for gestational-age fetuses and newborns.

To analyze copy number variants (CNVs) in subjects with small for gestational age (SGA) in China. A total of 85 cases with estimated fetal weight (EFW) or birth weight below the 10th percentile for gestational age were recruited, including SGA associated with structural anomalies (Group A, n = 20) and isolated SGA (Group B, n = 65). In all cases, cytogenetic karyotyping and infection screening were normal. We examined DNA from fetuses (amniocentesis or cordocentesis) and newborns (cord blood) to detect CNVs using a single nucleotide polymorphism (SNP, n = 75) array or low-pass whole-genome sequencing (WGS, n = 10). Of 85 total cases, 3 (4%) carried pathogenic chromosomal abnormalities, including 2 cases with pathological CNVs and 1 case with upd(22)pat. In Group A, the mean gestational age at the time of diagnosis was 26.8 (SD 4.1)weeks and mean EFW/birth weight was 907.2 (SD 567.8)g. In Group B, the mean gestational age at the time of diagnosis was 34.1 (SD 5.8)weeks. Mean EFW/birth weight was 1879.2 (SD 714.5)g. The pathologic detection rate was 10% (2/20) in Group A and 2% (1/65) in Group B. It was inclined that the lower the EFW percentile, the more frequent the occurrence of CNVs. Pathological subchromosomal anomalies were detected by CMA or low-pass WGS in 10% and 2% of SGA subjects with and without malformation, respectively. SGA fetuses with structural anomalies presented with higher pathological subchromosomal anomalies. The molecular genetic analysis is not recommended for isolated SGA pregnancies without other abnormal findings.

Application of single nucleotide polymorphism microarray in clinical diagnosis of intellectual disability or retardation

To assess the clinical application of single nucleotide polymorphism microarray (SNP array) in patients with intellectual disability/developmental delay(ID/DD). SNP array was performed to detect genome-wide DNA copy number variants (CNVs) for 145 patients with ID/DD in Women's Hospital, Zhejiang University School of Medicine from January 2013 to June 2018. The CNVs were analyzed by CHAS software and related databases. Among 145 patients, pathogenic chromosomal abnormalities were detected in 32 cases, including 26 cases of pathogenic CNVs and 6 cases of likely pathogenic CNVs. Meanwhile, 18 cases of uncertain clinical significance and 14 cases of likely benign were identified, no significant abnormalities were found in 81 cases (including benign). SNP array is effective for detecting chromosomal abnormalities in patients with ID/DD with high efficiency and resolution.

Chromosomal microarray comparative genome hybridization (arrayCGH) in prenatal settings. Proposal for Hungarian application in clinical practice

Invasive prenatal testing and conventional G-banding chromosome analysis have been considered to be the gold standard of fetal cytogenetic diagnosis. Standard karyotyping is, however, constrained by the limits of the resolution of using a microscope. The advantage of molecular karyotyping, array based methods is the evaluation of sub-microscopic copy number changes across the whole genome in a single analysis. The application of array comparative genome hybridization has greatly increased the detection of pathogenic chromosomal abnormalities in prenatal settings. Based on available data in the international literature of the last decade, the clinical utility of arrayCGH is the recognition of some 1-2% and 5-7% additional genetical information compared to metaphase karyotype alone in fetuses without ultrasound anomaly and in fetuses with ultrasonographically detected malformations, respectively. Thus arrayCGH improves the prenatal diagnosis of genetic abnormalities mainly in fetuses with structural sonographic findings. In the present paper we review the literature of chromosomal microarray and make a proposal for the application of the method in Hungarian prenatal genetical practice. Orv Hetil. 2019; 160(13): 484-493.

Application of chromosomal microarray to investigate genetic causes of isolated fetal growth restriction

BackgroundApplication of chromosomal microarray analysis (CMA) to investigate the genetic characteristics of fetal growth restriction (FGR) without ultrasonic structural anomalies at 18–32 weeks.MethodsThis study includes singleton fetuses with the estimated fetal weight (EFW) using the formula of Hadlock C below the 10th percentile for gestational age. FGRs without structural anomalies were selected, and the ones at high risk of noninvasive prenatal testing for trisomy 13, 18 and 21 would be excluded. The cases were divided into two groups: early-onset group (< 24+ 0 weeks) and late-onset group (24–33 weeks). All patients were offered invasive prenatal testing with CMA and karyotype analysis.ResultsCMA detected 10 pathogenic copy number variants and 2 variant of uncertain significance case. CMA has a 5.5% (7/127) incremental yield of pathogenic chromosomal abnormalities over karyotyping. The positive detected rate was 9.6% (5/52) in early-onset group and 9.3% (7/75) in late-onset group respectively.ConclusionsWhen FGR without structural anomaly is diagnosed before 33 weeks, an invasive prenatal procedure is strongly recommended. CMA can identify a 5.5% (7/127) incremental detection rate of pathogenic chromosomal abnormalities, which would impact clinical management for FGR.