Copy Number Variants Screening Research Articles

Familial chylomicronemia syndrome: case reports of siblings with deletions of the GPIHBP1 gene

BackgroundFamilial chylomicronemia syndrome (FCS) is a rare monogenic form of severe hypertriglyceridemia, caused by mutations in genes involved in triglyceride metabolism. Herein, we report the case of a Korean family with familial chylomicronemia syndrome caused by compound heterozygous deletions of glycosylphosphatidylinositol-anchored high-density lipoprotein-binding protein 1 (GPIHBP1).Case presentationA 4-year-old boy was referred for the evaluation of severe hypertriglyceridemia (3734 mg/dL) that was incidentally detected 4 months prior. His elder brother also demonstrated an elevated triglyceride level of 2133 mg/dL at the age of 9. Lipoprotein electrophoresis revealed the presence of chylomicrons, an increase in the proportion of pre-beta lipoproteins, and low serum lipoprotein lipase levels. The patient’s parents and first elder brother had stable lipid profiles. For suspected FCS, genetic testing was performed using the next-generation sequencing-based analysis of 31 lipid metabolism-associated genes, which revealed no pathogenic variants. However, copy number variant screening using sequencing depth information suggested large heterozygous deletion encompassing all the coding exons of GPIHBP1. A real-time quantitative polymerase chain reaction was performed to validate the deletion site. The results showed that the siblings had two heterozygous copy number variants consisting of the whole gene and an exon 4 deletion, each inherited from their parents. During the follow-up period of 17 months, the patient did not develop pancreatitis, following dietary intervention.ConclusionThese siblings’ case of familial chylomicronemia syndrome caused by rare GPIHBP1 deletions highlight the implementation of copy number variants—beyond next-generation sequencing—as an important consideration in diagnosis. Accurate genetic diagnosis is necessary to establish the etiology of severe hypertriglyceridemia, which increases the risk of pancreatitis.

Identification of copy number variations among fetuses with isolated ultrasound soft markers in pregnant women not of advanced maternal age

BackgroundPathogenic (P) copy number variants (CNVs) may be associated with second-trimester ultrasound soft markers (USMs), and noninvasive prenatal screening (NIPS) can enable interrogate the entire fetal genome to screening of fetal CNVs. This study evaluated the clinical application of NIPS for detecting CNVs among fetuses with USMs in pregnant women not of advanced maternal age (AMA).ResultsFetal aneuploidies and CNVs were identified in 6647 pregnant women using the Berry Genomics NIPS algorithm.Those with positive NIPS results underwent amniocentesis for prenatal diagnosis. The NIPS and prenatal diagnosis results were analyzed and compared among different USMs. A total of 96 pregnancies were scored positive for fetal chromosome anomalies, comprising 37 aneuploidies and 59 CNVs. Positive predictive values (PPVs) for trisomy 21, trisomy 18, trisomy 13, and sex chromosome aneuploidies were 66.67%, 80.00%, 0%, and 30.43%, respectively. NIPS sensitivity for aneuploidies was 100%. For CNVs, the PPVs were calculated as 35.59% and false positive rate of 0.57%. There were six P CNVs, two successfully identified by NIPS and four missed, of which three were below the NIPS resolution limit and one false negative. The incidence of aneuploidies was significantly higher in fetuses with absent or hypoplastic nasal bone, while that of P CNVs was significantly higher in fetuses with aberrant right subclavian artery (ARSA), compared with other groups.ConclusionsNIPS yielded a moderate PPV for CNVs in non-AMA pregnant women with fetal USM. However, NIPS showed limited ability in identifying P CNVs. Positive NIPS results for CNVs emphasize the need for further prenatal diagnosis. We do not recommend the use of NIPS for CNVs screening in non-AMA pregnant women with fetal USM, especially in fetuses with ARSA.

Screening copy number variations in 35 unsolved inherited retinal disease families

The purpose of this study was to screen Copy Number Variations (CNVs) in 35 unsolved Inherited Retinal Dystrophy (IRD) families. Initially, next generation sequencing, including a specific Hereditary Eye Disease Enrichment Panel or Whole exome sequencing, was employed to screen (likely) pathogenic Single-nucleotide Variants (SNVs) and small Insertions and Deletions (indels) for these cases. All available SNVs and indels were further validated and co-segregation analyses were performed in available family members by Sanger sequencing. If not, after excluding deep intronic variants, Multiplex ligation-dependent probe amplification (MLPA), quantitative fluorescence PCR (QF-PCR) and Sanger sequencing were employed to screen CNVs. We determined that 18 probands who had heterozygous SNVs/indels or whose parents were not consanguineous but had homozygous SNVs/indels in autosomal recessive IRDs genes had CNVs in another allele of these genes, 11 families had disease-causing hemizygous CNVs in X-linked IRD genes, 6 families had (likely) pathogenic heterozygous CNVs in PRPF31 gene. Of 35 families, 33 different CNVs in 16 IRD-associated genes were detected, with PRPF31, EYS and USH2A the most common disease-causing gene in CNVs. Twenty-six and 7 of them were deletion and duplication CNVs, respectively. Among them, 14 CNVs were first reported in this study. Our research indicates that CNVs contribute a lot to IRDs, and screening of CNVs substantially increases the diagnostic rate of IRD. Our results emphasize that MLPA and QF-PCR are ideal methods to validate CNVs, and the novel CNVs reported herein expand the mutational spectrums of IRDs.

Advancements in copy number variation screening in herbivorous livestock genomes and their association with phenotypic traits.

Copy number variations (CNVs) have garnered increasing attention within the realm of genetics due to their prevalence in human, animal, and plant genomes. These structural genetic variations have demonstrated associations with a broad spectrum of phenotypic diversity, economic traits, environmental adaptations, epidemics, and other essential aspects of both plants and animals. Furthermore, CNVs exhibit extensive sequence variability and encompass a wide array of genomes. The advancement and maturity of microarray and sequencing technologies have catalyzed a surge in research endeavors pertaining to CNVs. This is particularly prominent in the context of livestock breeding, where molecular markers have gained prominence as a valuable tool in comparison to traditional breeding methods. In light of these developments, a contemporary and comprehensive review of existing studies on CNVs becomes imperative. This review serves the purpose of providing a brief elucidation of the fundamental concepts underlying CNVs, their mutational mechanisms, and the diverse array of detection methods employed to identify these structural variations within genomes. Furthermore, it seeks to systematically analyze the recent advancements and findings within the field of CNV research, specifically within the genomes of herbivorous livestock species, including cattle, sheep, horses, and donkeys. The review also highlighted the role of CNVs in shaping various phenotypic traits including growth traits, reproductive traits, pigmentation and disease resistance etc., in herbivorous livestock. The main goal of this review is to furnish readers with an up-to-date compilation of knowledge regarding CNVs in herbivorous livestock genomes. By integrating the latest research findings and insights, it is anticipated that this review will not only offer pertinent information but also stimulate future investigations into the realm of CNVs in livestock. In doing so, it endeavors to contribute to the enhancement of breeding strategies, genomic selection, and the overall improvement of herbivorous livestock production and resistance to diseases.

A MALDI-TOF mass spectrometry-based method for detection of copy number variations in BRCA1 and BRCA2 genes.

Background: Identifying germline mutations in BRCA1 and BRCA2 genes (BRCAs) would benefit the carriers in multiple aspects. In addition to single-nucleotide variations and small indels, copy number variations (CNVs) is also an indispensable component of identifiable mutations in BRCAs. A sensitive, rapid and throughput-flexible method to detect CNVs would be preferred to meet the rising clinical requirements for BRCAs testing. Methods: We developed a MALDI-TOF-MS-based method (MS assay) which included three steps: first, multiplex end-point PCR followed by a single base extension reaction; second, automated analyte transfer and data acquisition; third, data analysis. We applied MS assay to detect CNVs in BRCAs in 293 Chinese patients with ovarian or pancreatic cancer. All the samples were examined by targeted next-generation sequencing (TS) simultaneously. Samples were further cross-validated by multiplex ligation-dependent probe amplification (MLPA) if the results from MS assay and TS were inconsistent. Long range PCR was then applied to identify the exact breakpoints in BRCAs. Results: MS assay introduced highly multiplexed panels to detect CNVs of BRCAs semi-quantitatively. Simplified on-board data analysis was available for MS assay and no complex bioinformatics was needed. The turnaround time of MS assay was less than 8hours with a hands-on time of only 40min. Compared to TS, MS assay exhibited higher sensitivity (100% vs. 75%) and was more flexible in throughput, with the reagent cost per sample remaining constant no matter how many samples were examined per assay. A total of eight CNVs in BRCAs were detected from the 293 samples, and the molecular breakpoints were successfully identified in five samples through long-range PCR followed by Sanger sequencing. Conclusion: Our results suggested that MS assay might be an effective method in primary screening for CNVs in genes such as BRCAs, especially when short turnaround time and/or high sensitivity is a top priority.

The detection efficacy of noninvasive prenatal genetic testing (NIPT) for sex chromosome abnormalities and copy number variation and its differentiation in pregnant women of different ages

ObjectiveTo analyze the efficacy of noninvasive prenatal genetic testing (NIPT) in detecting fetal sex chromosome abnormalities and copy number variation (CNV), compare the efficacy between NIPT and serological screening alone, and further analyze the fetal sex chromosome abnormalities and CNV differentiation in pregnant women of different ages, so as to provide a reference for the prevention and control of fetal birth defects. MethodsClinical data from 22,692 pregnant women admitted to our hospital from January 2013 to December 2022 were retrospectively analyzed. All participants underwent serological screening and NIPT screening to compare fetal chromosomal abnormalities between the two screening modalities. 145 women whose fetus were diagnosed as sex chromosome abnormalities and 36 women whose fetus were diagnosed as CNV abnormalities based on NIPT screening were selected for prenatal diagnosis by amniocentesis or karyotyping. Taking prenatal diagnosis as the standard, the four-grid table method was used to detect the positive predictive value of NIPT screening for fetal sex chromosomal abnormalities and CNV. According to the age, pregnant women were divided into 18–30 years old (n = 9844), 31–35 years old (n = 7612), >35 years old (n = 5236), and then the detection rates of sexual fetal chromosomal abnormalities, CNV and total chromosomal abnormalities were compared in pregnant women. ResultsAmong the 22,692 pregnant women in this study, the high-risk proportion of serologic screening with 4.38% was higher than that of NIPT screening with 1.93% (P < 0.05). Among the 145 women with fetal sex chromosome abnormalities screened by NIPT, 122 cases of fetal sex chromosome abnormalities were diagnosed prenatally, including 45, X/47, XXX/47, XYY/47, XXY. The positive predictive values of NIPT screening were 25.00%, 58.82%, 85.71%, and 85.71%, respectively, with an overall predictive value of 44.26%. The positive predictive value of fetal sex chromosome abnormalities in NIPT screening was higher than that of serological screening (P < 0.05). Among the 36 pregnant women with fetal CNV, NIPT screening showed that CNVs≤10 Mb and CNVs>10 Mb were 33.33% and 66.67%, respectively. There were 12 cases of prenatal diagnosis of fetal CNV, among which the NIPT-screened positive predictive values of fetal copy number deletion, duplicate, deletion and duplicate were 50.00%, 57.14% and 100.00%, respectively, with an overall predictive value of 58.33%. The positive predictive value of CNV in NIPT screening was higher than that of serological screening without statistically significant difference (P > 0.05). The results of NIPT screening showed that the detection rate of fetal sex chromosome abnormalities and total abnormalities of pregnant women over 35 years of age was significantly higher than that of pregnant women aged 18–30 and 31–35 years (P < 0.05). ConclusionNIPT screening could greatly improve the detection efficacy of fetal sex chromosome abnormalities, CNV and other chromosome abnormalities, and decline the false positive rate. However, the positive predictive value of NIPT screening was relatively low, and further prenatal testing and genetic counseling are still required. In addition, NIPT screening for fetal sex chromosome abnormalities, and the detection rate of total abnormalities in pregnant women older than 35 years old were increased significantly, and pregnancy at an advanced age may be one of the risk factors for fetal chromosomal abnormalities.

Clinical value of positive CNVs results by NIPT without fetal ultrasonography-identified structural anomalies.

To evaluate the clinical value of positive copy number variations (CNVs) results by non-invasive prenatal testing (NIPT) without fetal ultrasonography-identified structural anomalies, especially with several known CNVs results. A total of 135,981 results of NIPT performed between April 1, 2017, and March 31, 2020, enrolled in the free NIPT service program implemented by the local government were retrospectively analyzed. Of these, 87 cases with positive NIPT screens for CNVs and no fetal ultrasonography-identified anomalies were recalled and provided genetic counseling. After obtaining full informed consent, these cases were provided invasive prenatal diagnosis by karyotyping and chromosomal microarray analysis (CMA)/copy number variation sequencing (CNV-seq) with follow-up. One case was lost, while 86 cases were successfully followed up. A total of 44 (50.6%) cases underwent invasive prenatal diagnosis, of which six cases were detected with abnormal karyotype. CMA/CNV-Seq revealed 11 fetuses with positive results for CNVs, among whom eight were consistent with NIPT results, two were partially consistent, one was inconsistent, and positive predictive value (PPV) was 22.7% (10/44). For known CNVs, PPVs were 20% (15q11.2-q13 microdeletion) and 33.3% (5p end deletions). Among 11 pregnant women with positive prenatal diagnosis, seven were confirmed to have pathogenic CNVs in their fetuses; four had CNVs of unknown clinical significance. Even in pregnancies without ultrasonography-identified anomalies, a positive NIPT screen for CNVs must be interpreted with caution and validated by additional diagnostic study.

Unexpectedly high prevalence of structural genomic variations in the Long QT Syndrome: evidence for broader clinical uptake

Abstract Background Long QT syndrome (LQTS) is an inherited channelopathy predisposing young and otherwise healthy individuals to ventricular arrhythmias causing syncope or sudden cardiac death. Point mutations in the KCNQ1, KCNH2, and SCN5A genes are the most common causes of LQTS, and up to 75% of patients can be genotyped by standard DNA sequencing. However, standard genetic testing fails to detect structural genomic rearrangements - including large deletions or duplications of DNA segments - known as copy number variants (CNVs). While previous studies suggested that CNVs account for less than 5% of genotype-negative cases(1-2), no recent data have been reported. Purpose The study aimed to determine the prevalence and spectrum of CNVs in LQTS susceptibility genes in unrelated patients who tested negative for point mutations in a panel of 16 genes associated with LQTS. Methods Next-generation sequencing (NGS) was used to screen CNVs in unrelated, clinically diagnosed LQTS patients without point mutations in 16 genes associated with LQTS. Loss of heterozygosity in LQTS-associated genes was used to assess the presence of CNVs using standard commercial software. The multiplex ligation-dependent probe amplification (MLPA) assay was used to confirm the CNVs identified by NGS. Results The cohort included 48 patients (63% women; mean age 31±19 years, range 3 years to 68 years) with definitive clinical diagnosis of LQTS (mean QTc 490±33 ms) according to the 2022 ESC guidelines(3). Overall, 7/48 patients (15%, 95% CI 6-28%) had CNVs. Six of the seven CNVs involved KCNQ1 in the heterozygous state, including three large deletions (exons 3-6, exons 12-15, and exon 16) and three duplications (exon 2, exons 3-6, and exons 3-15), whereas the remaining patient had a complete KCNH2 deletion. MLPA confirmed all CNVs identified by NGS. Of note, no CNVs were identified in LQTS-related genes whose pathogenicity has been questioned. Conclusions Our study highlights the unexpectedly high prevalence of structural genomic rearrangements in the KCNQ1 and KCNH2 genes in LQTS patients. Routine screening for copy number variants in LQTS patients is critical for accurate diagnosis, risk stratification, and personalized treatment strategies.Figure 1

STS and PUDP Deletion Identified by Targeted Panel Sequencing with CNV Analysis in X-Linked Ichthyosis: A Case Report and Literature Review.

X-linked recessive ichthyosis (XLI) is clinically characterized by dark brown, widespread dryness with polygonal scales. We describe the identification of STS and PUDP deletions using targeted panel sequencing combined with copy-number variation (CNV) analysis in XLI. A 9-month-old infant was admitted for genetic counseling. Since the second day after birth, the infant's skin tended to be dry and polygonal scales had accumulated over the abdomen and upper extremities. The infant's maternal uncle and brother (who had also exhibited similar skin symptoms from birth) presented with polygonal scales on their trunks. CNV analysis revealed a hemizygous deletion spanning 719.3 Kb on chromosome Xp22 (chrX:7,108,996-7,828,312), which included a segment of the STS gene and exhibited a Z ratio of -2 in the proband. Multiplex ligation-dependent probe amplification (MLPA) confirmed this interstitial Xp22.31 deletion. Our report underscores the importance of implementing CNV screening techniques, including sequencing data analysis and gene dosage assays such as MLPA, to detect substantial deletions that encompass the STS gene region of Xq22 in individuals suspected of having XLI.

Enhancing Lung Cancer Classification through Integration of Liquid Biopsy Multi-Omics Data with Machine Learning Techniques.

Early detection of lung cancer is crucial for patient survival and treatment. Recent advancements in next-generation sequencing (NGS) analysis enable cell-free DNA (cfDNA) liquid biopsy to detect changes, like chromosomal rearrangements, somatic mutations, and copy number variations (CNVs), in cancer. Machine learning (ML) analysis using cancer markers is a highly promising tool for identifying patterns and anomalies in cancers, making the development of ML-based analysis methods essential. We collected blood samples from 92 lung cancer patients and 80 healthy individuals to analyze the distinction between them. The detection of lung cancer markers Cyfra21 and carcinoembryonic antigen (CEA) in blood revealed significant differences between patients and controls. We performed machine learning analysis to obtain AUC values via Adaptive Boosting (AdaBoost), Multi-Layer Perceptron (MLP), and Logistic Regression (LR) using cancer markers, cfDNA concentrations, and CNV screening. Furthermore, combining the analysis of all multi-omics data for ML showed higher AUC values compared with analyzing each element separately, suggesting the potential for a highly accurate diagnosis of cancer. Overall, our results from ML analysis using multi-omics data obtained from blood demonstrate a remarkable ability of the model to distinguish between lung cancer and healthy individuals, highlighting the potential for a diagnostic model against lung cancer.

Evaluation of noninvasive prenatal screening for copy number variations among screening laboratories

ObjectiveTo evaluate the current situation of expanded noninvasive prenatal screening (NIPS) for copy number variations (CNVs) in laboratories in China, the National Center of Clinical Laboratories conducted an externalqualityassessment (EQA) program. MethodsThe EQA panel consisted of 12 artificial samples associated with different syndromes, which were mixed with maternal plasma collected from pregnant women and enzyme-digested cell-free DNA (cfDNA) from cell lines with different fetal fractions (FFs) ranging from 5% to 15%. The panel was validated by next-generation sequencing and distributed to laboratories, along with questionnaires and case scenarios. ResultsSixty-nine laboratories participated in the EQA program, and 91.30% (63/69) of laboratories correctly identified all samples. A total of 7.25% (5/69) of the laboratories reported false-negative results, and 2.90% (2/69) of the laboratories reported unexpected CNVs. The correct rates of the 22q11.2 deletion syndrome, Cri-du-chat syndrome, 1p36 deletion syndrome and Angelman/Prader-Willi syndrome samples were 97.46%, 98.55%, 100%, and 100%, respectively. With the increase in the FF, deletion size, and read depth, the detection rate increased. For results reports, only five laboratories reported FF values, one laboratory reported the CNV classification type, and none reported sensitivity, specificity, positive predictive values, and negative predictive values. ConclusionThe detection capabilities of NIPS for CNVs still need to be improved and standardized, and FF, deletion size, and read depth are factors that affect the detection rate.

The predictive value of noninvasive prenatal screening for copy number variations: a cohort study and a systematic meta-analysis

ABSTRACT Objective To assess the diagnostic accuracy of noninvasive prenatal screening (NIPS) in screening for copy number variations (CNVs). Methods We conducted a systematic review and meta-analysis by combining our study results with those reported in other articles. We retrospectively collected the data of pregnant women with NIPS testing in the Hangzhou Women’s Hospital from December 2019 to February 2022. Simultaneously, a systematic search of PubMed, EMBASE, and Web of Science was carried out to identify all relevant peer-reviewed publications. Statistical analysis was performed based on the random-effects model to determine a pooled estimate of the positive predictive value (PPV). Results A total of 29 studies involving 2,667 women were included for analysis. The pooled PPV of NIPS in the detection of CNVs was 32.86% (95% confidence interval [24.61–41.64]). Statistical heterogeneity was high, while no significant publication bias was found in this meta-analysis. There were insufficient data to accurately determine sensitivity and specificity, as most studies only performed confirmatory tests on high-risk women. Conclusions The PPV of NIPS in screening for CNVs was approximately 33%. Cautions should be kept in mind for the pretest guidance and subsequent after-test counseling when offering such genome-wide NIPS tests.

How does cell-based NIPT perform against chorionic villous sampling and cell-free NIPT in detecting trisomies and copy number variations? A clinical study from Denmark.

We aimed to compare cell-based NIPT (cbNIPT) to chorionic villus sampling (CVS), and to examine the test characteristics of cbNIPT in the first clinical validation study of cbNIPT compared to cell-free NIPT (cfNIPT). Study 1: Women (N=92) who accepted CVS were recruited for cbNIPT (53 normal and 39 abnormal). Samples were analyzed with chromosomal microarray (CMA).Study 2: Women (N=282) who accepted cfNIPT were recruited for cbNIPT. cfNIPT was analyzed using sequencing and cbNIPT by CMA. Study 1: cbNIPT detected all aberrations (32/32) found in CVS; trisomies 13, 18 and 21 (23/23), pathogenic copy number variations (CNVs) (6/6) and sex chromosome aberrations (3/3). cbNIPT detected 3/8 cases of mosaicism in the placenta.Study 2: cbNIPT detected all trisomies found with cfNIPT (6/6) and had no false positive (0/246). One of the three CNVs called by cbNIPT was confirmed by CVS but was undetected by cfNIPT, two were false positives. cbNIPT detected mosaicism in five samples of which two were not detected by cfNIPT. cbNIPT failed in 7.8% compared to 2.8% in cfNIPT. Circulating trophoblasts in the maternal circulation provides the potential of screening for aneuploidies and pathogenic CNVs covering the entire fetal genome. This article is protected by copyright. All rights reserved.

The implication of chromosomal abnormalities in the surgical outcomes of Chinese pediatric patients with congenital heart disease.

Copy number variations (CNVs) have been shown to be overrepresented in children with congenital heart disease (CHD). Genetic evaluation of CHD is currently underperformed in China. We sought to determine the occurrence of CNVs in CNV regions with disease-causing potential among a large cohort of Chinese pediatric CHD patients and investigate whether these CNVs could be the important critical modifiers of surgical intervention. CNVs screenings were performed in 1,762 Chinese children who underwent at least one cardiac surgery. CNV status at over 200 CNV locus with disease-causing potential was analyzed with a high-throughput ligation-dependent probe amplification (HLPA) assay. We found 378 out of 1,762 samples (21.45%) to have at least one CNV and 2.38% of them were carrying multiple CNVs. The detection rates of ppCNVs (pathogenic and likely pathogenic CNVs) were 9.19% (162/1,762), significantly higher than that of the healthy Han Chinese individuals from The Database of Genomic Variants archive (9.19% vs. 3.63%; P = 0.0012). CHD cases with ppCNVs had a significantly higher proportion of complex surgeries compared to CHD patients with no ppCNVs (62.35% vs. 37.63%, P < 0.001). Duration of cardiopulmonary bypass and aortic cross clamp procedures were significantly longer in CHD cases with ppCNVs (all P < 0.05), while no group differences were identified for complications of surgery and one-month mortality after surgery. The detection rate of ppCNVs in the atrioventricular septal defect (AVSD) subgroup was significantly higher than that in other subgroups (23.10% vs. 9.70%, P = 0.002). CNV burden is an important contributor to Chinese children with CHD. Our study demonstrated the robustness and diagnostic efficiency of HLPA method in the genetic screening of CNVs in CHD patients.

Genetic Screening of Targeted Region on the Chromosome 22q11.2 in Patients with Microtia and Congenital Heart Defect.

Microtia is a congenital malformation characterized by a small, abnormally shaped auricle (pinna) ranging in severity. Congenital heart defect (CHD) is one of the comorbid anomalies with microtia. However, the genetic basis of the co-existence of microtia and CHD remains unclear. Copy number variations (CNVs) of 22q11.2 contribute significantly to microtia and CHD, respectively, thus suggesting a possible shared genetic cause embedded in this genomic region. In this study, 19 sporadic patients with microtia and CHD, as well as a nuclear family, were enrolled for genetic screening of single nucleotide variations (SNVs) and CNVs in 22q11.2 by target capture sequencing. We detected a total of 105 potential deleterious variations, which were enriched in ear- or heart-development-related genes, including TBX1 and DGCR8. The gene burden analysis also suggested that these genes carry more deleterious mutations in the patients, as well as several other genes associated with cardiac development, such as CLTCL1. Additionally, a microduplication harboring SUSD2 was validated in an independent cohort. This study provides new insights into the underlying mechanisms for the comorbidity of microtia and CHD focusing on chromosome 22q11.2, and suggests that a combination of genetic variations, including SNVs and CNVs, may play a crucial role instead of single gene mutation.

B-cell lymphoma-extra large is a promising drug target in Merkel cell carcinoma.

Merkel cell carcinoma (MCC) is an aggressive skin tumour with neuroendocrine differentiation. Immunotherapies are effective in the treatment of patients with advanced-stage MCC, but for patients whose tumours cannot be controlled by the immune system, alternative approaches are urgently needed. To identify overexpressed oncogenes as potential drug targets for MCC. NanoString platform, digital droplet polymerase chain reaction (ddPCR) and fluorescence in situ hybridization (FISH) assays were used to determine copy number variations (CNVs); BCL2L1 and PARP1 mRNA expression levels were determined by quantitative real-time polymerase chain reaction (qRT-PCR), B-cell lymphoma extra-large (Bcl-xL) and poly (ADP-ribose) polymerase 1 (PARP1) protein by immuno-blot. Specific Bcl-xL inhibitors and a PARP1 inhibitor were used alone or in combination to test their antitumour effect. Screening for CNVs in 13 classic Merkel cell polyomavirus (MCPyV)-positive and MCPyV-negative MCC cell lines revealed BCL2L1 gains and amplifications, confirmed by ddPCR in 10 cell lines. By ddPCR and FISH, we demonstrated that BCL2L1 gains are present in tumour tissue. BCL2L1 copy number gains were associated with increased Bcl-xL mRNA and protein expression. However, high Bcl-xL expression was not restricted to MCC cells harbouring a BCL2L1 gain/amplification, suggesting additional epigenetic means of regulation. The functional relevance of Bcl-xL in MCC cells was demonstrated by the fact that specific Bcl-xL inhibitors (A1331852 and WEHI-539) led to the induction of apoptosis. Owing to the strong expression and activation of PARP1 in MCC cell lines, we next tested the combination of Bcl-xL inhibitors with the PARP1 inhibitor olaparib, which showed synergistic antitumour effects. Bcl-xL, which is highly expressed in MCC, appears to be an attractive therapeutic target for the treatment of this tumour, especially as the effect of specific Bcl-xL inhibitors is synergistically enhanced by simultaneous PARP inhibition.

Value of noninvasive prenatal testing in the detection of rare fetal autosomal abnormalities

ObjectivesTo evaluate the value of noninvasive prenatal testing (NIPT) in the screening of rare autosomal abnormalities and provide further support for the clinical application of NIPT. Study designA total of 81,518 pregnant women who underwent NIPT at the Anhui Maternal and Child Health Hospital between May 2018 and March 2022 were selected. The high-risk samples were analyzed using amniotic fluid karyotype and chromosome microarray analysis (CMA), and the pregnancy outcomes were followed up. ResultsNIPT detected 292 cases (0.36%) with rare autosomal abnormalities among the 81,518 cases sampled. Of these, 140 (0.17%) showed rare autosomal trisomies (RATs), and 102 of these patients agreed to undergo invasive testing. Five cases were true positives, with a positive predictive value (PPV) of 4.90%. Copy number variants (CNV) were detected in 152 samples of the total cases (0.19%), and 95 of the patients involved agreed to the use of CMA. Twenty-nine of these cases were confirmed to be true positive, with a PPV of 30.53%. Detailed follow-up information was obtained in 81 cases from 97 patients with false-positive results for RATs. Thirty-seven of these cases (45.68%) had adverse perinatal outcomes, with a higher incidence of small for gestational age (SGA), intrauterine growth retardation (IUGR), and preterm birth (PTB). ConclusionsNIPT is not recommended for screening for RATs. However, considering that positive results are associated with an increased risk of IUGR and PTB, additional fetal ultrasound examination should be performed to monitor fetal growth. In addition, NIPT has a reference value in screening for CNVs, especially pathogenic CNVs, but a comprehensive analysis of prenatal diagnosis combined with ultrasound and family history is still needed.

The accuracy of cell-free DNA screening for fetal segmental copy number variants: A systematic review and meta-analysis.

The performance of cell-free DNA (cfDNA) screening for microscopic copy number variants (CNVs) is unclear. This was a systematic review and meta-analysis to investigate the sensitivity, specificity and positive predictive value (PPV) of cfDNA screening for CNVs. Articles published in EMBASE, PubMed or Web of Science before November 2022 were screened for inclusion. This protocol was registered with PROSPERO (23 March 2021, CRD42021250849) prior to initiation. Articles published in English, detailing diagnostic outcomes for at least 10 high-risk CNV results with cfDNA were considered for inclusion. The PPV was calculated and pooled with random-effects models for double-arcsine transformed proportions, using cases with diagnostic confirmation. Overall sensitivity, specificity and a summary receiver-operating characteristics (ROC) curve were calculated using bivariate models. The risk of bias was assessed using QUADAS-2. In all, 63 articles were included in the final analysis, detailing 1591 459 cfDNA results. The pooled PPV was 37.5% (95% confidence interval [CI] 30.6-44.8), with substantial statistical heterogeneity (I2 = 93.9%). Bivariate meta-analysis estimated sensitivity and specificity to be 77.4% (95% CI 65.7-86.0) and 99.4% (95% CI 98.0-99.8), respectively, with an area under the summary ROC curve of 0.947 (95% CI 0.776-0.984). Approximately one-third of women who screen high-risk for CNVs with cfDNA will have an affected fetus. This value is of importance for screening counselling.

Efficiency of expanded noninvasive prenatal testing in the detection of fetal subchromosomal microdeletion and microduplication in a cohort of 31,256 single pregnancies

Noninvasive prenatal testing (NIPT) is widely used to screen for common fetal chromosomal aneuploidies. However, the ability of NIPT-Plus to detect copy number variation (CNV) is debatable. Accordingly, we assessed the efficiency of NIPT-Plus to detect clinically significant fetal CNV. We performed a prospective analysis of 31,260 singleton pregnancies, included from June 2017 to December 2020. Cell-free fetal DNA was directly sequenced using the semiconductor sequencing platform for women with high-risk CNV with clinically significant results. Fetal karyotyping and chromosomal microarray analysis (or next-generation sequencing) are recommended for invasive diagnostic procedures. Women at low risk with no other abnormal results continued their pregnancies. We analyzed the expanded NIPT results, diagnostic test results, and follow-up information to evaluate its performance in detecting fetal CNV. Of the 31,260 pregnant women who received NIPT-Plus, 31,256 cases were tested successfully, a high risk of clinically significant CNV was detected in 221 cases (0.71%); 18 women refused further diagnosis; 203 women underwent invasive prenatal diagnosis; and 78 true positive cases and 125 false positive cases, with an overall positive predictive value (PPV) of 38.42% and a false positive rate of 0.40%. For known microdeletion/microduplication syndromes (n = 27), the PPVs were 75% DiGeorge syndrome (DGS), 80% 22q11.22 microduplication, 50% Prader–Willi syndrome, and 50% cri-du-chat. For the remaining clinically significant fetal CNVs (n = 175), the combined PPVs were 46.5% (CNVs > 10 Mb) and 28.57% (CNVs ≤ 10 Mb). NIPT-Plus screening for CNV has certain clinical value. NIPT-Plus yielded relatively high PPVs for 22q11.2 microduplication syndrome and DGS, and low to moderate PPVs for other CNVs.

Abstract 760: Concordance of DNA copy number profiles between primary and metastatic colorectal carcinoma

Abstract The most common form of genomic instability in sporadic colorectal cancer (CRC) is chromosomal instability, a phenotype characterized by a high frequency of DNA copy number gain (CNG) and loss (CNL). Given the fundamental role of chromosomal instability in the pathogenesis of CRC, this study aimed to investigate the concordance of DNA copy number variants (CNV) between primary and metastatic CRC to better understand how the genomic structure differs during tumor evolution. In this study, the SurePrint G3 Human Genome CGH+SNP 2x400K Microarray (Agilent, SC, California, USA) was used for genome-wide screening of CNV in 9 pairs of primary tumors and metachronous liver metastases obtained during surgical resection from patients diagnosed with advanced CRC. Data from the Microarray-based Comparative Genomic Hybridization was analyzed by COSMIC Cancer Gene Census (CGC) and an independent non-CGC panel to map hotspot regions harboring genes causally implicated in cancer in the course of the metastatic cascade. Also, unique CNV in metastases were further investigated to identify loci advantageous for tumor progression and those presumably associated with therapy resistance. Overall, CNG observed in primary tumors were highly concordant with those in liver metastases. The CNG hotspot regions for both tissues represented chr7 (p22.3-p13), chr8 (q21.13-q24.3), chr13 (q12.11-q13.3), chr20 (q11.1-q13.33) and chrX (q11.1-q28) loci, while the most frequent CNL was at chr8 (p21.3-p12) locus. All identified loci underwent CNV events with a higher frequency in metastases (67-100%) than in primary tumors (55%). The identified genomic loci with CNG encode DNA repair genes (such as PMS2, NBN, BRCA2, RAD54B, RAD21, RPA3,4, and TREX2), homeobox genes (HOXA9,11,13), genes encoding centrosome-associated proteins (CETN2, MPLKIP), proto-oncogenes (MYC), and also tumor suppressor (ATRX, ASXL1). Additionally, an analysis of unique CNV within distinct tissues revealed CNG at Chr6 (p25.1-p22.3) in 89% of metastatic samples and absent in all the primary tumor lesions. This particular genomic region contains proto-oncogene DEK. Although the analysis is still underway, we have identified several shared and unique regions of altered copy number in both, primary tumors and metastases. We conclude that despite the high inter- and intra-tumoral genomic heterogeneity, metachronous metastases “inherit” a similar profile of DNA CNV from their respective primary tumor tissues. We intend to further extend our studied group of patients and perform integrative analyses of CNV with gene expression. This study was supported by the Charles University (UNCE/MED/006) and the Grant Agency of the Czech Republic (21-04607X, 21-27902S) Citation Format: Michal Kroupa, Kristyna Tomasova, Katerina Saskova, Jana Drabova, Josef Horak, Ludmila Vodickova, Jachym Rosendorf, Vaclav Liska, Pavel Vodicka. Concordance of DNA copy number profiles between primary and metastatic colorectal carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 760.