Detecting sex chromosome anomalies and common triploidies in products of conception by array-based comparative genomic hybridization

Noninvasive prenatal diagnosis targeting fetal nucleated red blood cells

Noninvasive prenatal diagnosis (NIPD) aims to detect fetal-related genetic disorders before birth by detecting markers in the peripheral blood of pregnant women, holding the potential in reducing the risk of fetal birth defects. Fetal-nucleated red blood cells (fNRBCs) can be used as biomarkers for NIPD, given their remarkable nature of carrying the entire genetic information of the fetus. Here, we review recent advances in NIPD technologies based on the isolation and analysis of fNRBCs. Conventional cell separation methods rely primarily on physical properties and surface antigens of fNRBCs, such as density gradient centrifugation, fluorescence-activated cell sorting, and magnetic-activated cell sorting. Due to the limitations of sensitivity and purity in Conventional methods, separation techniques based on micro-/nanomaterials have been developed as novel methods for isolating and enriching fNRBCs. We also discuss emerging methods based on microfluidic chips and nanostructured substrates for static and dynamic isolation of fNRBCs. Additionally, we introduce the identification techniques of fNRBCs and address the potential clinical diagnostic values of fNRBCs. Finally, we highlight the challenges and the future directions of fNRBCs as treatment guidelines in NIPD.

Identification of aneuploidy in dogs screened by a SNP microarray

Microarray analysis is an efficient approach for screening and identifying cytogenetic imbalances in humans. SNP arrays, in particular, are a powerful way to identify copy-number gains and losses representing aneuploidy and aneusomy, but moreover, allow for the direct assessment of individual genotypes in known disease loci. Using these approaches, trisomies, monosomies, and mosaicism of whole chromosomes have been identified in human microarray studies. For canines, this approach is not widely used in clinical laboratory diagnostic practice. In our laboratory, we have implemented the use of a proprietary SNP array that represents approximately 650,000 loci across the domestic dog genome. During the validation of this microarray prior to clinical use, we identified three cases of aneuploidy after screening 2053 dogs of various breeds including monosomy X, trisomy X, and an apparent mosaic trisomy of canine chromosome 38 (CFA38). This study represents the first use of microarrays for copy-number evaluation to identify cytogenetic anomalies in canines. As microarray analysis becomes more routine in canine genetic testing, more cases of chromosome aneuploidy are likely to be uncovered.

Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage

INTRODUCTION

The single most common cause of miscarriage is genetic abnormality.

OBJECTIVE

We conducted a prospective cohort study to compare the performance of conventional karyotyping and chromosomal microarray analysis (CMA) using array comparative genomic hybridization (array-CGH) and single nucleotide polymorphism array (SNP-array) to identify genetic abnormalities in miscarriage specimens.

METHODS

A total of 63 miscarriage specimens were included. Conventional karyotyping, array-CGH, and SNP-array were performed and the results compared.

RESULTS

Genetic abnormalities were detected in 31 cases (49.2%) by at least one testing modality. Single autosomal trisomy was the most common defect (71.0%), followed by polyploidy (16.1%), multiple aneuploidy (9.7%), and monosomy X (3.2%). Mosaicisms were identified in four cases and confirmed by fluorescence in situ hybridization (FISH) using appropriate probes. SNP-array had a higher detection rate of genetic abnormalities than array-CGH (93.5 vs. 77.4%), and conventional karyotyping had the lowest detection rate (76.0%). SNP-array enabled the detection of all types of genetic abnormalities, including polyploidy.

CONCLUSIONS

Although conventional karyotyping and FISH are still needed, SNP-array represents the first choice for miscarriage because the technique showed excellent performance in the detection of genetic abnormalities and minimized the probability of testing failure as well as time, costs, and labor.

Reducing misdiagnosis caused by maternal cell contamination in genetic testing for early pregnancy loss

The analysis of products of conception (POC) is clinically important to establish the cause of early pregnancy loss. Data from such analyses can lead to specific interventions in subsequent natural or assisted conceptions. The techniques available to examine the chromosomal composition of POC have limitations and can give misleading results when maternal cell contamination (MCC) is overlooked. The aim of this study was to develop a protocol for MCC assessment and to formulate POC material handling, testing, and reporting recommendations. Using array comparative genomic hybridization, we tested 86 POC samples, of which 47 sample pairs (DNA extracted from the POC sample and maternal DNA) were assessed for the presence of MCC. MCC was evaluated using an approach we developed, which exploited the genotyping of 14 STR, AMEL, and SRY loci. POC samples showing the clear presence of villi (63.9%) did not contain any signs of the maternal genome and can therefore be reliably tested using conventional methods. The proportion of 46,XX karyotype in the unselected sample batch was 0.39, which fell to 0.23 in visually good samples and was 0.27 in samples having no signs of contamination upon MCC testing. MCC assessment can rescue visually poor samples from being discarded or wrongly genotyped. We demonstrate here that classification based on visual POC material evaluation and MCC testing leads to predictable and reliable POC genetic testing outcomes. Our formulated recommendations covering POC material collection, transportation, primary and secondary processing, as well as the array of pertinent considerations discussed here, can be implemented by laboratories to improve their POC genetic testing practices. We anticipate our protocol for MCC assessment and recommendations will help reduce the misconception regarding the etiology of miscarried fetuses and foster informed decision-making by clinicians and patients dealing with early pregnancy loss.

Submicroscopic chromosomal imbalances contribute to early abortion

Background

Chromosomal abnormalities are one of the genetic mechanisms associated with abortion. However, the roles of submicroscopic chromosomal imbalances in early abortion are still unclear. This study aims to find out whether submicroscopic chromosomal imbalances contribute to early abortion.

Methods

A total of 78 chorionic villus specimens from early spontaneous abortion patients with no obvious abnormality are collected after miccroassay analysis (the case group). At the same time, 60 chorionic villus specimens from induced abortion patients with no obvious abnormality are selected as the control group. The submicroscopic structures of chromosomes from two groups are analyzed using an array-based comparative genomic hybridization (aCGH).

Results

In the case group, 15 specimens show submicroscopic chromosomal abnormalities including 14 micro-deletion/micro-duplication in chromosomes 2, 4, 5, 6, 7, 8, 9, 12, 15, 16, 18, and 22, and 1 uniparental disomy (UPD) in chromosome 19. Moreover, no pathogenic copy number variations are found in the control group. The results between these two groups exhibit significantly statistical difference.

Conclusion

Submicroscopic chromosomal imbalances may be one of the main reasons for early abortion.

Comprehensive genetic analysis of pregnancy loss by chromosomal microarrays: outcomes, benefits, and challenges

PURPOSE

Chromosomal microarray analysis (CMA) is currently considered first-tier testing in pediatric care and prenatal diagnosis owing to its high diagnostic sensitivity for chromosomal imbalances. The aim of this study was to determine the efficacy and diagnostic power of CMA in both fresh and formalin-fixed paraffin-embedded (FFPE) samples of products of conception (POCs).

METHODS

Over a 44-month period, 8,118 consecutive samples were received by our laboratory for CMA analysis. This included both fresh (76.4%) and FFPE samples (22.4%), most of which were ascertained for recurrent pregnancy loss and/or spontaneous abortion (83%). The majority of samples were evaluated by a whole-genome single-nucleotide polymorphism (SNP)-based array (81.6%); the remaining samples were evaluated by array-comparative genomic hybridization (CGH).

RESULTS

A successful result was obtained in 7,396 of 8,118 (91.1%), with 92.4% of fresh tissue samples and 86.4% of FFPE samples successfully analyzed. Clinically significant abnormalities were identified in 53.7% of specimens (3,975 of 7,396), 94% of which were considered causative.

CONCLUSION

Analysis of POC specimens by karyotyping fails in 20-40% of cases. SNP-based CMA is a robust platform, with successful results obtained in >90% of cases. SNP-based CMA can identify aneuploidy, polyploidy, whole-genome homozygosity, segmental genomic imbalances, and maternal cell contamination, thus maximizing sensitivity and decreasing false-negative results. Understanding the etiology of fetal loss enables clarification of recurrence risk and assists in determining appropriate management for future family planning.Genet Med 19 1, 83-89.

Influence of sperm fertilising concentration, sperm selection method and sperm capacitation procedure on the incidence of numerical chromosomal abnormalities in IVF early bovine embryos

The occurrence of numerical chromosomal aberrations, widely described as a major cause of mortality in in vitro-produced (IVP) embryos, has been linked to several factors. In the present study we investigated the effect of sperm fertilising concentration and semen handling (sperm selection and capacitation) before IVF on the rate of numerical chromosomal abnormalities in bovine embryos. In all, 466 IVP cattle embryos were karyotyped throughout three sequential experiments, analysing the effects of sperm fertilising concentration (0.1, 1.0 or 10×10(6) spermatozoa mL(-1)), selection method (unselected or Percoll-selected spermatozoa) and capacitation medium (bovine serum albumin (BSA), heparin or their combination). The percentage of normal (diploid) and aberrant (haploid, polyploid or aneuploid) embryos was noted in each experiment. The rate of numerical chromosomal abnormalities was mainly affected by sperm fertilising concentration (P<0.01) and, to a lesser extent, by the sperm capacitation medium (P<0.05). Polyploidy and haploidy rates were only affected by sperm fertilising concentration (P<0.05). Interestingly, the sperm selection technique used in the present study did not reduce the incidence of chromosome abnormalities in IVP cattle embryos (P>0.05). Finally, aneuploidy rates were not affected during the experiments (P>0.05), which suggests that they are not related to sperm-related factors. On the basis of these results, we conclude that sperm fertilising concentration is the 'paternal' key factor that affects the rate of numerical chromosomal abnormalities in IVP bovine embryos. By making small adjustments to fertilising protocols, the rate of cytogenetically aberrant embryos can be markedly reduced.

Genomic characteristics of miscarriage copy number variants

Studies of copy number variants (CNVs) in miscarriages are rare in comparison to post-natal cases with developmental abnormalities. The overall characteristics of miscarriage CNVs (size, gene content and function) are therefore largely unexplored. Our goal was to assess and compare the characteristics of CNVs identified in 101 euploid miscarriages from four high-resolution array studies that documented both common miscarriage CNVs (i.e. CNVs found in controls from the Database of Genomic Variants, DGV) and rare miscarriage CNVs (not reported in DGV). Our miscarriage analysis included 24 rare CNVs with 93 genes, and 372 common CNVs (merged into 119 common CNV regions; CNVRs) with 354 genes. The rare and common CNVs were comparable in size (median size of ∼ 0.16 and 0.14 Mb, respectively); however, rare CNVs showed a significantly higher gene density, with 56 genes/Mb in rare and 24 genes/Mb in common CNVs (P = 0.03). Rare CNVs also had two times more genes with mouse knock-out models which were reported for 42% of rare and 19% of common CNV genes. No specific pathway enrichment was noted for 24 rare CNV genes, but common CNV genes showed significant enrichment in genes from immune-response related pathways and pregnancy/reproduction-related biological processes. Our analysis of CNVs from euploid miscarriages suggests that both rare and common CNVs could have a role in miscarriage by impacting pregnancy-related genes or pathways. Cataloguing of all CNVs and detailed description of their characteristics (e.g. gene content, genomic breakpoints) is desirable in the future for better understanding of their relevance to pregnancy loss.

Molecular analysis of products of conception obtained by hysteroembryoscopy from infertile couples

PURPOSE

To analyze the molecular cytogenetic data obtained from products of conception (POC) obtained by selective biopsy of first trimester miscarriages and to estimate the rate of chromosomal anomalies in miscarriages from pregnancies achieved by natural conception (NC) or by assisted reproductive technology (ART) interventions.

METHODS

We used KaryoLite™ BoBs™ (PerkinElmer LAS, Wallac, Turku, Finland) technology to analyze 189 samples from ART or NC pregnancies.

RESULTS

All POC were successfully evaluated. A higher incidence of chromosomal abnormalities was observed in POC after ART using the patient's own oocytes than from NC pregnancies (62.7% vs. 40.6%; p < 0.05). The lowest incidence of chromosomal abnormalities was observed in POCs ART using donor eggs from women younger than 35 years (12.8%). No statistical differences in the percentage of abnormal miscarriages were observed in correlation with sperm concentration: a sperm concentration less than 5 million/mL produced 75% abnormal results and a concentration higher than 5 million/mL produced 51%.

CONCLUSIONS

POC analysis is essential to determine the cause of pregnancy loss. Using culture-independent molecular biology techniques to analyze POCs avoids limitations such as growth failure and reduces the time required for analysis. Selective biopsy of fetal tissue by hysteroembryoscopy avoids the risk of misdiagnosis due to maternal cell contamination. Our results show that maternal age, sperm quality, and ART-assisted pregnancies are risk factors for abnormal gestations.

Abnormalities in spontaneous abortions detected by G-banding and chromosomal microarray analysis (CMA) at a national reference laboratory

Background

Cytogenetic evaluation of products of conception (POC) for chromosomal abnormalities is central to determining the cause of pregnancy loss. We compared the test success rates in various specimen types and the frequencies of chromosomal abnormalities detected by G-banding analysis with those found by Oligo-SNP chromosomal microarray analysis (CMA). We evaluated the benefit of CMA testing in cases of failed culture growth.

Methods

Conventional cytogenetic results of 5457 consecutive POC specimens were reviewed and categorized as placental villi, fetal parts, and unspecified POC tissue. The CMA was performed on 268 cases. Of those, 32 cases had concurrent G-banding results. The remaining 236 cases included 107 cases with culture failure and 129 cases evaluated by CMA alone.

Results

The overall POC culture success rate was 75%, with the lowest for fetal parts (37.4%) and the highest for placental villi (81%). The abnormality rate was 58% for placental villi, but only 25% for fetal parts. Of the abnormalities detected, the most common were aneuploidies, including trisomy 16, triploidy, monosomy X, trisomy 22, trisomy 21 and trisomy 15, while the least encountered aneuploidies were trisomy 1, trisomy 19 and monosomies (except monosomy 21). Overall, POC specimens studied by CMA were successful in 89.6% of cases and yielded a 44.6% abnormality rate.

Conclusions

Placental villi yielded higher rates of culture success and a higher percentage of abnormal karyotypes than did other specimen types. The Oligo-SNP CMA method has demonstrated a viable alternative to the G-banding method in view of its advantages in detection of submicroscopic genomic aberrations, shorter turnaround time due to elimination of time required for culture and a higher test success rate.

Chromosomal Microarrays in Prenatal Diagnosis: Time for a Change of Policy?

Microarrays have replaced conventional karyotyping as a first-tier test for unbalanced chromosome anomalies in postnatal cytogenetics mainly due to their unprecedented resolution facilitating the detection of submicroscopic copy number changes at a rate of 10-20% depending on indication for testing. A number of studies have addressed the performance of microarrays for chromosome analyses in high risk pregnancies due to abnormal ultrasound findings and reported an excess detection rate between 5% and 10%. In low risk pregnancies, clear pathogenic copy number changes at the submicroscopic level were encountered in 1% or less. Variants of unclear clinical significance, unsolicited findings, and copy number changes with variable phenotypic consequences are the main issues of concern in the prenatal setting posing difficult management questions. The benefit of microarray testing may be limited in pregnancies with only moderately increased risks (advanced maternal age, positive first trimester test). It is suggested to not change the current policy of microarray application in prenatal diagnosis until more data on the clinical significance of copy number changes are available.

Microarray-based prenatal diagnosis for the identification of fetal chromosome abnormalities

The goal of prenatal cytogenetic testing is to provide reassurance to the couple seeking testing for their pregnancy, identify chromosome abnormalities in the fetus, if present, and provide treatments and medical management for affected babies. Cytogenetic analysis of banded chromosomes has been the standard for identifying chromosome abnormalities in the fetus for over 40 years. With chromosome analysis, whole chromosome aneuploidies and large structural rearrangements can be identified. The sequencing of the human genome has provided the resources to develop molecular tools that allow higher resolution observations of human chromosomes. The future holds the promise of sequencing that may identify chromosomal imbalances and deleterious single nucleotide variants. This review will focus on the use of genomic microarrays for the testing and identification of chromosome anomalies in prenatal diagnosis and will discuss the future directions of fetal testing.

Rapid aneusomy detection in products of conception using the KaryoLite™ BACs-on-Beads™ assay

OBJECTIVE

Chromosome analysis is the traditional method for detecting genetic abnormalities in products of conception, but it is prone to a high failure rate because of the requirement for cell culture. Molecular genetic tests do not require cell culture, but are either more expensive (e.g. chromosomal microarray) or less sensitive than chromosome analysis (e.g. fluorescence in situ hybridization, multiplex ligation mediated amplification). The KaryoLite™ BACs-on-Beads™ (KL-BoBs™) assay is highly multiplexed with low resolution coverage and is designed to detect aneusomy for any chromosome.

METHODS

We retrospectively tested 100 products of conception samples previously characterized by karyotype (n = 90), and/or microarray (n = 61) using KL-BoBs™. We included samples extracted from either cultured or direct specimens from placental villi or fetal somatic tissue, with a variety of chromosomal abnormalities typically identified in our clinical cytogenetics laboratory.

RESULTS

KL-BoBs™ and microarray results were concordant for all cases of aneusomy. On the basis of a review of 3794 consecutive cases in our laboratory, aneusomy accounts for 74.3% of abnormalities detected. Polyploidy and structural abnormalities were not detected by KL-BoBs™.

CONCLUSION

KL-BoBs™ is potentially very useful as a first line test for aneusomy detection because of its lower cost, rapid detection, and ability to generate a molecular karyotype for samples that fail to grow in culture.

Undetected sex chromosome aneuploidy by chromosomal microarray

We report on a case of a female fetus found to be mosaic for Turner syndrome (45,X) and trisomy X (47,XXX). Chromosomal microarray analysis (CMA) failed to detect the aneuploidy because of a normal average dosage of the X chromosome. This case represents an unusual instance in which CMA may not detect chromosomal aberrations. Such a possibility should be taken into consideration in similar cases where CMA is used in a clinical setting.

Genomic microarrays: a technology overview

Genomic microarrays are now widely used diagnostically for the molecular karyotyping of patients with intellectual disability, congenital anomalies and autistic spectrum disorder and have more recently been applied for the detection of genomic imbalances in prenatal genetic diagnosis. We present an overview of the different arrays, protocols used and discuss methods of genomic array data analysis.

Experience with microarray-based comparative genomic hybridization for prenatal diagnosis in over 5000 pregnancies

Objective

To demonstrate the usefulness of microarray testing in prenatal diagnosis based on our laboratory experience.

Methods

Prenatal samples received from 2004 to 2011 for a variety of indications (n = 5003) were tested using comparative genomic hybridization-based microarrays targeted to known chromosomal syndromes with later versions of the microarrays providing backbone coverage of the entire genome.

Results

The overall detection rate of clinically significant copy number alterations (CNAs) among unbiased, nondemise cases was 5.3%. Detection rates were 6.5% and 8.2% for cases referred with abnormal ultrasounds and fetal demise, respectively. The overall rate of findings with unclear clinical significance was 4.2% but would reduce to 0.39% if only de novo CNAs were considered. In cases with known chromosomal rearrangements in the fetus or parent, 41.1% showed CNAs related to the rearrangements, whereas 1.3% showed clinically significant CNAs unrelated to the karyotype. Finally, 71% of the clinically significant CNAs found by microarray were below the resolution of conventional karyotyping of fetal chromosomes.

Conclusions

Microarray analysis has advantages over conventional cytogenetics, including the ability to more precisely characterize CNAs associated with abnormal karyotypes. Moreover, a significant proportion of cases studied by array will show a clinically significant CNA even with apparently normal karyotypes. © 2012 John Wiley & Sons, Ltd.

Array-based comparative genomic hybridization is more informative than conventional karyotyping and fluorescence in situ hybridization in the analysis of first-trimester spontaneous abortion

Background

Array-based comparative genomic hybridization (aCGH) is a new technique for detecting submicroscopic deletions and duplications, and can overcome many of the limitations associated with classic cytogenetic analysis. However, its clinical use in spontaneous abortion needs comprehensive evaluation. We used aCGH to investigate chromosomal imbalances in 100 spontaneous abortions and compared the results with G-banding karyotyping and fluorescence in situ hybridization (FISH). Inconsistent results were verified by quantitative fluorescence PCR.

Results

Abnormalities were detected in 61 cases. aCGH achieved the highest detection rate (93.4%, 57/61) compared with traditional karyotyping (77%, 47/61) and FISH analysis (68.9%, 42/61). aCGH identified all chromosome abnormalities reported by traditional karyotyping and interphase FISH analysis, with the exception of four triploids. It also detected three additional aneuploidy cases in 37 specimens with ‘normal’ karyotypes, one mosaicism and 10 abnormalities in 14 specimens that failed to grow in vitro.

Conclusions

aCGH analysis circumvents many limitations in traditional karyotyping or FISH. The accuracy and efficiency of aCGH in spontaneous abortions highlights its clinical usefulness for the future. As aborted tissues have the potential to be contaminated with maternal cells, the threshold value of detection in aCGH should be lowered to avoid false negatives.

Chromosome microarrays in human reproduction

BACKGROUND

Chromosome microarray (CMA) testing allows automatic and easy identification of large chromosomal abnormalities detectable by conventional cytogenetics as well as the detection of submicroscopic chromosomal imbalances.

METHODS

A PubMed search was performed in order to review the current use of CMA testing in the field of human reproduction. Articles discussing the use of CMA in the preimplantation setting, ongoing pregnancies, miscarriages and patients with reproductive disorders were considered.

RESULTS

A high rate of concordance between conventional methods of detecting chromosomal abnormalities [e.g. fluorescence in situ hybridization (FISH), karyotyping] and CMA was reported in the prenatal setting with CMA providing more comprehensive and detailed results as it investigates the whole genome at higher resolution. In preimplantation genetic screening, CMA is replacing FISH and the selection of embryos based on CMA has already resulted in live births. For ongoing pregnancies and miscarriages, CMA eliminates tissue culture failures and artifacts and allows a quick turnaround time. The detection of submicroscopic imbalances [or copy number variants (CNVs)] is beneficial when the imbalance has a clear clinical consequence but is challenging for previously undescribed imbalances, particularly for ongoing pregnancies. Recurrent CNVs have been documented in patients with reproductive disorders; however, the application of CMA in this field is still limited.

CONCLUSIONS

CMA enhances reproductive medicine as it facilitates better understanding of the genetic aspects of human development and reproduction and more informed patient management. Further clinical validation of CMA in the prenatal setting, creation of practice guidelines and catalogs of newly discovered submicroscopic imbalances with clinical outcomes are areas that will require attention in the future.

Array-based approaches in prenatal diagnosis

The diagnostic benefits of array comparative genomic hybridisation (CGH) have been demonstrated, with this technique now being applied as the first-line test for patients with intellectual disabilities and/or multiple congenital anomalies in numerous laboratories. There are no technical barriers preventing the introduction of array CGH to prenatal diagnosis. The question is rather how this is best implemented, and for whom. The challenges lie in the interpretation of copy number variations, particularly those which exhibit reduced penetrance or variable expression, and how to deal with incidental findings, which are not related to the observed foetal anomalies, or unclassified variants which are currently of uncertain clinical significance. Recently, applications of array technologies to the field of pre-implantation genetic diagnosis have also been demonstrated. It is important to address the ethical questions raised concerning the genome-wide analysis of prenatal samples to ensure the maximum benefit for patients. We provide an overview of the recent developments on the use of array CGH in the prenatal setting, and address the challenges posed.

Informatics enhanced SNP microarray analysis of 30 miscarriage samples compared to routine cytogenetics

Purpose

The metaphase karyotype is often used as a diagnostic tool in the setting of early miscarriage; however this technique has several limitations. We evaluate a new technique for karyotyping that uses single nucleotide polymorphism microarrays (SNP). This technique was compared in a blinded, prospective fashion, to the traditional metaphase karyotype.

Methods

Patients undergoing dilation and curettage for first trimester miscarriage between February and August 2010 were enrolled. Samples of chorionic villi were equally divided and sent for microarray testing in parallel with routine cytogenetic testing.

Results

Thirty samples were analyzed, with only four discordant results. Discordant results occurred when the entire genome was duplicated or when a balanced rearrangement was present. Cytogenetic karyotyping took an average of 29 days while microarray-based karytoyping took an average of 12 days.

Conclusions

Molecular karyotyping of POC after missed abortion using SNP microarray analysis allows for the ability to detect maternal cell contamination and provides rapid results with good concordance to standard cytogenetic analysis.

Microarray analysis of copy number variation in single cells

We present a protocol for reliably detecting DNA copy number aberrations in a single human cell. Multiple displacement-amplified DNAs of a cell are hybridized to a 3,000-bacterial artificial chromosome (BAC) array and to an Affymetrix 250,000 (250K)-SNP array. Subsequent copy number calling is based on the integration of BAC probe-specific copy number probabilities that are estimated by comparing probe intensities with a single-cell whole-genome amplification (WGA) reference model for diploid chromosomes, as well as SNP copy number and loss-of-heterozygosity states estimated by hidden Markov models (HMM). All methods for detecting DNA copy number aberrations in single human cells have difficulty in confidently discriminating WGA artifacts from true genetic variants. Furthermore, some methods lack thorough validation for segmental DNA imbalance detection. Our protocol minimizes false-positive variant calling and enables uniparental isodisomy detection in single cells. Additionally, it provides quality assessment, allowing the exclusion of uninterpretable single-cell WGA samples. The protocol takes 5-7 d.

Array technology in prenatal diagnosis

Array technology, here termed molecular karyotyping, is an attractive alternative to conventional karyotyping for prenatal diagnosis given the increase in resolution as well as faster report times. We review the benefits and limitations of this technique for the detection of pathogenic genomic imbalances, address the challenges raised in the interpretation of copy number variations, discuss practical considerations for the routine implementation of molecular karyotyping in prenatal diagnosis, and identify areas where more research is desired to enable large scale introduction of the technique(s).

Evaluation of chronic lymphocytic leukemia by BAC-based microarray analysis

Background

Chronic lymphocytic leukemia (CLL) is a highly variable disease with life expectancies ranging from months to decades. Cytogenetic findings play an integral role in defining the prognostic significance and treatment for individual patients.

Results

We have evaluated 25 clinical cases from a tertiary cancer center that have an established diagnosis of CLL and for which there was prior cytogenetic and/or fluorescence in situ hybridization (FISH) data. We performed microarray-based comparative genomic hybridization (aCGH) using a bacterial artificial chromosome (BAC)-based microarray designed for the detection of known constitutional genetic syndromes. In 15 of the 25 cases, aCGH detected all copy number imbalances identified by prior cytogenetic and/or FISH studies. For the majority of those not detected, the aberrations were present at low levels of mosaicism. Furthermore, for 15 of the 25 cases, additional abnormalities were detected. Four of those cases had deletions that mapped to intervals implicated in inherited predisposition to CLL. For most cases, aCGH was able to detect abnormalities present in as few as 10% of cells. Although changes in ploidy are not easily discernable by aCGH, results for two cases illustrate the detection of additional copy gains and losses present within a mosaic tetraploid cell population.

Conclusions

Our results illustrate the successful evaluation of CLL using a microarray optimized for the interrogation of inherited disorders and the identification of alterations with possible relevance to CLL susceptibility.

Applications of array comparative genomic hybridization in obstetrics

Current prenatal cytogenetic diagnosis uses mostly G-banded karyotyping of fetal cells from chorionic villi or amniotic fluid cultures, which readily detects any aneuploidy and larger structural genomic rearrangements that are more than 4 to 5 megabases in size. Fluorescence in situ hybridization (FISH) is also used for rapid detection of the common aneuploidies seen in liveborns. If there is prior knowledge that increases risk for a specific deletion or duplication syndrome, FISH with a probe specific for the region in question is done. Over the past decade, array-based comparative genomic hybridization (aCGH) has been developed, which can survey the entire genome for submicroscopic microdeletions and microduplications, in addition to all unbalanced chromosomal abnormalities that are also detected by karyotype. aCGH in essence interrogates the genome with thousands of probes fixed on a slide in a single assay, and has already revolutionized cytogenetic diagnosis in the pediatric population. aCGH is being used increasingly for prenatal diagnosis where it is also beginning to make a significant impact. The authors review here principles of aCGH, its benefits for prenatal diagnosis and associated challenges, primarily the inability to detect balanced chromosomal abnormalities and a small risk for discovery of chromosomal abnormalities of uncertain clinical significance. The superior diagnostic power of aCGH far outweighs these concerns. Furthermore, such issues can be addressed during pre- and posttest counseling, and their impact will further diminish as the technology continues to develop and experience with its prenatal diagnostic use grows.

Detection of low-level mosaicism and placental mosaicism by oligonucleotide array comparative genomic hybridization

PURPOSE

To determine the sensitivity of whole-genome oligonucleotide array comparative genomic hybridization for the detection of mosaic cytogenetic abnormalities.

METHODS

Mosaicism sensitivity was evaluated by testing artificially derived whole chromosome and segmental aneuploidies ranging from 0% to 100% abnormal and additional naturally occurring mosaic specimens.

RESULTS

Using combined dye-reversed replicates and an unfiltered analysis, oligonucleotide array comparative genomic hybridization detected as low as 10% and 20-30% mosaicism from whole chromosome and segmental aneuploidies, respectively. To investigate discrepancies between cultured and uncultured specimens, array comparative genomic hybridization was performed on DNA from additional direct product of conception specimens with abnormal karyotypes in culture. Interestingly, 5 of 10 product of conception specimens with double trisomies on cultured cell analysis had only a single trisomy by array comparative genomic hybridization and quantitative polymerase chain reaction on DNA from the uncultured direct specimen, and all harbored the more commonly observed trisomy. Thus, oligonucleotide array comparative genomic hybridization revealed previously unidentified placental mosaicism in half of the products of conception with double-aneuploid conventional karyotypes.

CONCLUSION

Oligonucleotide array comparative genomic hybridization can detect low-level mosaicism for whole chromosome ( approximately 10%) and segmental ( approximately 20-30%) aneuploidies when using specific detection criteria. In addition, careful interpretation is required when performing array comparative genomic hybridization on DNA isolated from direct specimens as the results may differ from the cultured chromosome analysis.

Array-based comparative genomic hybridization (aCGH) in the genetic evaluation of stillbirth

This study examined the utility of array-based comparative genomic hybridization (aCGH) in detecting genetic abnormalities associated with late pregnancy loss. Comparisons were made with classic cytogenetics to test whether aCGH represents a superior methodology for the clinical evaluation of stillbirth. Stillborn infants were selected for aCGH testing from the Wisconsin Stillbirth Service Program (WiSSP) database and tissue bank, based on abnormal clinical findings (presence of at least two abnormalities of two different organs or parts of the body). aCGH analysis was successfully completed in 15 cases which met the clinical criteria and for which sufficient amount of high quality DNA was recovered from archival material. The testing was performed using commercially available 1 Mb BAC arrays. Among 15 tested stillborns, aCGH detected two abnormalities (trisomy 21 and an unbalanced translocation between chromosomes 3 and 10), for an overall detection rate of 13% in stillborns with malformations who had normal or unobtainable cytogenetic results. This preliminary study supports the clinical value of aCGH testing in diagnostic evaluation of stillborns with congenital anomalies.

Identification of origin of unknown derivative chromosomes by array-based comparative genomic hybridization using pre- and postnatal clinical samples

Microarray-based comparative genomic hybridization (array CGH) is a high-resolution and comprehensive method for detecting both genome-wide and chromosome-specific copy-number imbalance. We have developed an array CGH analysis system (consisting of an array CGH chip plus its exclusive analysis software) for constitutional genetic diagnosis and have evaluated the suitability of our system for molecular diagnosis using pre- and postnatal clinical samples. In a blind study, each of the 264 sample karyotypes identified by array CGH analysis was consistent with that identified by traditional karyotype analysis--with one exception, case (47, XXX)--and we were able to identify origins, such as small supernumerary marker chromosomes, which cannot be determined by conventional cytogenetics. We also acquired very accurate, fast and reliable results using a diminutive amount of clinical samples. Taken together, the array CGH platform developed in this study is a rapid, powerful and sensitive technology for pre- and postnatal diagnosis using a very small amount of clinical sample.

Prenatal diagnosis of a 9q34.3 microdeletion by array-CGH in a fetus with an apparently balanced translocation

OBJECTIVES

Use high-resolution genome analysis to clarify the genomic integrity in a fetus with a cytogenetically balanced translocation t(2;9)(q11.2;q34.3).

METHODS

High resolution molecular cytogenetic analyses including G-banded chromosome analysis, fluorescence in situ hybridization (FISH), and array-comparative genomic hybridization (CGH) were performed on cultured cells, and DNA extracted from chorionic villus sample (CVS), amniotic fluid cells and fetal tissue. In addition, a custom fosmid-based tiling path 9q34.3 microarray with a resolution of 35-40 kb was used for array-CGH.

RESULTS

GTG-banding analysis showed an apparently balanced de novo translocation between the long arms of chromosomes 2 and 9; t(2;9)(q11.2;q34.3). Array-CGH using a targeted chromosomal microarray analysis (CMA) uncovered a submicroscopic deletion of the subtelomeric region of 9q34.3 revealing the unbalanced nature of the rearrangement. These results were confirmed independently by FISH. The deletion was delimited to 2.7 Mb in size using the 9q34.3 fosmid-based tiling path array-CGH.

CONCLUSION

Array-CGH is a powerful tool for rapid detection of genomic imbalances associated with microdeletion/duplication syndromes and for the evaluation of de novo apparently balanced translocation to enable high-resolution genomic analysis at the breakpoints. Prenatal diagnosis of chromosomal rearrangements involving dosage-sensitive genomic regions is an important adjuvant to prenatal care and provides more accurate information for counseling and informed decision making.

The impact of array genomic hybridization on mental retardation research: a review of current technologies and their clinical utility

Our understanding of the causes of mental retardation is benefiting greatly from whole-genome scans to detect submicroscopic pathogenic copy number variants (CNVs) that are undetectable by conventional cytogenetic analysis. The current method of choice for performing whole-genome scans for CNVs is array genomic hybridization (AGH). Several platforms are available for AGH, each with its own strengths and limitations. This review discusses considerations that are relevant to the clinical use of whole-genome AGH platforms for the diagnosis of pathogenic CNVs in children with mental retardation. Whole-genome AGH studies are a maturing technology, but their high diagnostic utility assures their increasing use in clinical genetics.

Subtelomeric imbalances in phenotypically normal individuals

Subtelomeric imbalances are identified in approximately 5% of patients with idiopathic mental retardation (MR) and multiple congenital anomalies (MCA). Because of this high incidence, screening for subtelomeric anomalies became part of the routine genetic evaluation of MCA/MR patients. In contrast to the general view that subtelomeric imbalances cause MCA/MR, we report here 15 subtelomeric copy-number changes in 12 families in which the imbalance is inherited from a phenotypically normal parent. We detected inherited deletions at subtelomeres 2q, 3p, 4p, 4q, 6q, 10q, 17p, 17q, Xp, and Yq and duplications at 1q, 4q, 10q, and 11q. Interestingly, in addition to small deletions (<1 Mb) also unexpected large deletions and duplications up to 7.8 Mb were detected. Taken together with previous reports, a total of 16 subtelomeric duplications and 18 deletions inherited from a phenotypically normal parent have now been reported. Clearly, more extensive genotype-phenotype correlations are needed to better understand the phenotypic consequences of these subtelomeric copy number variations and to resolve the current uncertainty for genetic counseling in postnatal and prenatal diagnosis.

Array-CGH analysis of cell-free fetal DNA in 10 mL of amniotic fluid supernatant

BACKGROUND

Previously, we showed that analysis of amniotic fluid (AF) supernatant cell-free fetal (cff) DNA using DNA microarrays (array-CGH) allows for detection of whole chromosome differences between test and reference DNA. Subsequent technical advances have increased both the yield and quality of extracted cffDNA. Here we determined whether array-CGH using smaller volumes of both fresh and frozen AF cffDNA could identify fetal aneuploidy.

METHODS

CffDNA was extracted from 10 mL of residual AF supernatant. The test AF samples (n = 10) included one with a normal karyotype, and nine with the following fetal aneuploidies: trisomies 13 (n = 1), 18 (n = 3), 21 (n = 2), trisomy 9 mosaicism (47,XX,+ 9[18]/46,XX[2]), triploidy (69,XXY) and Turner syndrome (45,X).

RESULTS

Array-CGH using AF cffDNA from aneuploid fetuses, compared to euploid reference AF cffDNA, detected whole chromosome aneuploidy in 8 of 9 cases tested, including the case of trisomy 9 mosaicism. The case of triploidy was not detected.

CONCLUSIONS

CffDNA extracted from 10 mL AF supernatant can be analyzed using array-CGH to correctly identify human chromosome abnormalities. This technology allows for rapid screening of AF samples for whole chromosomal changes by using routinely discarded supernatant, and may augment standard prenatal karyotyping techniques by providing additional molecular information.

Molecular cytogenetic and rapid aneuploidy detection methods in prenatal diagnosis

Cytogenetic analysis is an important component of prenatal diagnosis. The ability to rapidly detect aneuploidy and identify small structural abnormalities of fetal chromosomes has been greatly enhanced by the use of molecular cytogenetic technologies. In this review, we will present some of the molecular cytogenetic techniques available to the clinical cytogenetics laboratory. These include fluorescence in situ hybridization (FISH), quantitative fluorescence PCR (QF-PCR), multiplex ligation-dependent probe amplification (MLPA) and microarray-based comparative genomic hybridization (array CGH). The benefits and limitations of each technology will be discussed in the context of prenatal diagnosis.