High resolution array in the clinical approach to chromosomal phenotypes

Array genomic hybridization (AGH) has recently been implemented as a diagnostic tool for the detection of submicroscopic copy number variants (CNVs) in patients with developmental disorders. However, there is no consensus regarding the choice of the platform, the minimal resolution needed and systematic interpretation of CNVs. We report our experience in the clinical diagnostic use of high resolution AGH up to 100 kb on 131 patients with chromosomal phenotypes but previously normal karyotype. We evaluated the usefulness in our clinics and laboratories by the detection rate of causal CNVs and CNVs of unknown clinical significance and to what extent their interpretation would challenge the systematic use of high-resolution arrays in clinical application. Prioritizing phenotype-genotype correlation in our interpretation strategy to criteria previously described, we identified 33 (25.2%) potentially pathogenic aberrations. 16 aberrations were confirmed pathogenic (16.4% syndromic, 8.5% non-syndromic patients); 9 were new and individual aberrations, 3 of them were pathogenic although inherited and one is as small as approx 200 kb. 13 of 16 further CNVs of unknown significance were classified likely benign, for 3 the significance remained unclear. High resolution array allows the detection of up to 12.2% of pathogenic aberrations in a diagnostic clinical setting. Although the majority of aberrations are larger, the detection of small causal aberrations may be relevant for family counseling. The number of remaining unclear CNVs is limited. Careful phenotype-genotype correlations of the individual CNVs and clinical features are challenging but remain a hallmark for CNV interpretation.     

Chromosomal microarray analysis of consecutive individuals with autism spectrum disorders or learning disability presenting for genetic services

Chromosomal microarray analysis is now commonly used in clinical practice to identify copy number variants (CNVs) in the human genome. We report our experience with the use of the 105 K and 180 K oligonucleotide microarrays in 215 consecutive patients referred with either autism or autism spectrum disorders (ASD) or developmental delay/learning disability for genetic services at the University of Kansas Medical Center during the past 4 years (2009–2012). Of the 215 patients [140 males and 75 females (male/female ratio = 1.87); 65 with ASD and 150 with learning disability], abnormal microarray results were seen in 45 individuals (21%) with a total of 49 CNVs. Of these findings, 32 represented a known diagnostic CNV contributing to the clinical presentation and 17 represented non-diagnostic CNVs (variants of unknown significance). Thirteen patients with ASD had a total of 14 CNVs, 6 CNVs recognized as diagnostic and 8 as non-diagnostic. The most common chromosome involved in the ASD group was chromosome 15. For those with a learning disability, 32 patients had a total of 35 CNVs. Twenty-six of the 35 CNVs were classified as a known diagnostic CNV, usually a deletion (n = 20). Nine CNVs were classified as an unknown non-diagnostic CNV, usually a duplication (n = 8). For the learning disability subgroup, chromosomes 2 and 22 were most involved. Thirteen out of 65 patients (20%) with ASD had a CNV compared with 32 out of 150 patients (21%) with a learning disability. The frequency of chromosomal microarray abnormalities compared by subject group or gender was not statistically different. A higher percentage of individuals with a learning disability had clinical findings of seizures, dysmorphic features and microcephaly, but not statistically significant. While both groups contained more males than females, a significantly higher percentage of males were present in the ASD group.     

Cross-platform comparison of microarray-based multiple-class prediction

High-throughput microarray technology has been widely applied in biological and medical decision-making research during the past decade. However, the diversity of platforms has made it a challenge to re-use and/or integrate datasets generated in different experiments or labs for constructing array-based diagnostic models. Using large toxicogenomics datasets generated using both Affymetrix and Agilent microarray platforms, we carried out a benchmark evaluation of cross-platform consistency in multiple-class prediction using three widely-used machine learning algorithms. After an initial assessment of model performance on different platforms, we evaluated whether predictive signature features selected in one platform could be directly used to train a model in the other platform and whether predictive models trained using data from one platform could predict datasets profiled using the other platform with comparable performance. Our results established that it is possible to successfully apply multiple-class prediction models across different commercial microarray platforms, offering a number of important benefits such as accelerating the possible translation of biomarkers identified with microarrays to clinically-validated assays. However, this investigation focuses on a technical platform comparison and is actually only the beginning of exploring cross-platform consistency. Further studies are needed to confirm the feasibility of microarray-based cross-platform prediction, especially using independent datasets.     

Considering specific clinical features as evidence of pathogenic copy number variants

Since the introduction of high-resolution microarray technologies, it has become apparent that structural chromosomal rearrangements can lead to a wide variety of clinical manifestations, including developmental delay/intellectual disability (DD/ID). It has been shown previously that the diagnostic yield of genome-wide array-based identification of submicroscopic alterations in patients with ID varies widely and depends on the patient selection criteria. More attempts have recently been made to define the phenotypic clues of pathogenic copy number variants (CNVs). The aim of this study was to investigate a well-phenotyped cohort of patients with DD/ID and determine whether certain clinical features may serve as indicators for pathogenic CNVs. A retrospective analysis was conducted for patients with DD/ID (n?=?211) who were tested using genome-wide chromosomal microarray technologies and a review of the clinical data was performed. Pathogenic CNVs were detected in 29 patients. In comparison with individuals who had normal molecular karyotyping results (n?=?182), malformations of the musculoskeletal system; congenital malformations of the CNS (particularly hydrocephalus and congenital malformations of the corpus callosum); minor anomalies of the eye, face, and neck subgroup (particularly downward-slanting palpebral fissures, minor anomalies of the ear, and micrognathia); brachydactyly; and umbilical hernia were more common in patients with chromosomal alterations. A multivariate logistic regression analysis allowed the identification of three independent pathogenic CNV predictors: congenital malformations of the corpus callosum, minor anomalies of the ear, and brachydactyly. Insights into the chromosomal phenotype may help to increase the diagnostic yield of microarray technologies and sharpen the distinction between chromosomal alterations and other conditions.     

Current issues for DNA microarrays: platform comparison, double linear amplification, and universal RNA reference

DNA microarray technology has been widely used to simultaneously determine the expression levels of thousands of genes. A variety of approaches have been used, both in the implementation of this technology and in the analysis of the large amount of expression data. However, several practical issues still have not been resolved in a satisfactory manner, and among the most critical is the lack of agreement in the results obtained in different array platforms. In this study, we present a comparison of several microarray platforms [Affymetrix oligonucleotide arrays, custom complementary DNA (cDNA) arrays, and custom oligo arrays printed with oligonucleotides from three different sources] as well as analysis of various methods used for microarray target preparation and the reference design. The results indicate that the pairwise correlations of expression levels between platforms are relative low overall but that the log ratios of the highly expressed genes are strongly correlated, especially between Affymetrix and cDNA arrays. The microarray measurements were compared with quantitative real-time-polymerase chain reaction (QRT-PCR) results for 23 genes, and the varying degrees of agreement for each platform were characterized. We have also developed and tested a double amplification method which allows the use of smaller amounts of starting material. The added round of amplification produced reproducible results as compared to the arrays hybridized with single round amplified targets. Finally, the reliability of using a universal RNA reference for two-channel microarrays was tested and the results suggest that comparisons of multiple experimental conditions using the same control can be accurate.     

Chromogenic in situ hybridization analysis of HER-2/neu status in cytological samples of breast carcinoma

The current use of humanized monoclonal antibody trastuzumab for the treatment of patients with metastatic breast cancer has made evaluation of HER-2/neu status an important clinical issue. Chromogenic in situ hybridization (CISH), in which the DNA probe is detected with an immunohistochemistry (IHC)-like peroxidase reaction, has been recently developed for the assessment of HER-2/neu status in formalin-fixed breast cancer specimens. We have applied the technique of dual-colour CISH using HER-2/neu and chromosome 17 centromere probes in 27 cytological smears, and these cytological samples were obtained from scrapings of fresh breast tumours. We also investigated HER-2/neu amplification and protein overexpression in the corresponding surgical tissues by CISH and IHC using the monoclonal antibody CB11. Of the 27 cytological cases, HER-2/neu gene amplification was observed in nine cases that were positive cases (2+ and 3+) for IHC. Among the 13 IHC positive cases (2+ and 3+), four of them showed no gene amplification. Identical results for the CISH technique were obtained in the matched surgical samples. The scrape samples from fresh breast tumour offer a monolayer cell population that is especially suitable for CISH. This study has shown that the cytological smear might be a good alternative for the CISH test.     

ArraySolver: an algorithm for colour-coded graphical display and Wilcoxon signed-rank statistics for comparing microarray gene expression data

The massive surge in the production of microarray data poses a great challenge for proper analysis and interpretation. In recent years numerous computational tools have been developed to extract meaningful interpretation of microarray gene expression data. However, a convenient tool for two-groups comparison of microarray data is still lacking and users have to rely on commercial statistical packages that might be costly and require special skills, in addition to extra time and effort for transferring data from one platform to other. Various statistical methods, including the t-test, analysis of variance, Pearson test and Mann-Whitney U test, have been reported for comparing microarray data, whereas the utilization of the Wilcoxon signed-rank test, which is an appropriate test for two-groups comparison of gene expression data, has largely been neglected in microarray studies. The aim of this investigation was to build an integrated tool, ArraySolver, for colour-coded graphical display and comparison of gene expression data using the Wilcoxon signed-rank test. The results of software validation showed similar outputs with ArraySolver and SPSS for large datasets. Whereas the former program appeared to be more accurate for 25 or fewer pairs (n 相似文献   

High Resolution Array-CGH Characterization of Human Stem Cells Using a Stem Cell Focused Microarray

Human embryonic and induced pluripotent stem cells (ESCs, iPSCs) that are cultured for an extended period of time are susceptible to genomic instability. Chromosomal aberrations decrease the reliability and reproducibility of experiments and could deem the cells unusable for therapeutic purposes. The genetic stability of human ESCs and iPSCs is commonly monitored by karyotype analysis. However, this low-resolution technique can only identify large aneuploidies. A reliable, high-resolution technique to detect genomic aberrations at a cost comparable to karyotyping is needed to better characterize stem cell lines. We have designed a stem cell focused array-comparative genomic hybridization microarray that covers the entire genome at high resolution with increased probe coverage in over 60 stem cell associated genes and more than 195 cancer related genes. Several iPSC lines were analyzed using the focused microarray and compared with either karyotyping or a standard Agilent 44K microarray. In addition to the abnormalities detected by these platforms, the custom microarray identified several small duplications spanning stem cell and/or cancer related genes. Scientists using a stem cell focused microarray to characterize their stem cells will be aware of the structural variants present in their cells and be more confident in their experimental results.     

Application of diagnostic methods and molecular diagnosis of hemoglobin disorders in Khuzestan province of Iran

BACKGROUND:

The hemoglobinopathies refer to a diverse group of inherited disorders characterized by a reduced synthesis of one or more globin chains (thalassemias) or the synthesis of structurally abnormal hemoglobin (Hb). The thalassemias often coexist with a variety of structural Hb variants giving rise to complex genotypes and an extremely wide spectrum of clinical and hematological phenotypes. Hematological and biochemical investigations and family studies provide essential clues to the different interactions and are fundamental to DNA diagnostics of the Hb disorders. Although DNA diagnostics have made a major impact on our understanding and detection of the hemoglobinopathies, DNA mutation testing should never be considered a shortcut or the test of first choice in the workup of a hemoglobinopathy.

MATERIALS AND METHODS:

A careful three-tier approach involving: (1) Full blood count (2) Special hematological tests, followed by (3) DNA mutation analysis, provides the most effective way in which to detect primary gene mutations as well as gene-gene interactions that can influence the overall phenotype. With the exception of a few rare deletions and rearrangements, the molecular lesions causing hemoglobinopathies are all identifiable by PCR-based techniques. Furthermore, each at-risk ethnic group has its own combination of common Hb variants and thalassemia mutations. In Iran, there are many different forms of α and β thalassemia. Increasingly, different Hb variants are being detected and their effects per se or in combination with the thalassemias, provide additional diagnostic challenges.

RESULTS:

We did step-by-step diagnosis workup in 800 patients with hemoglobinopathies who referred to Research center of Thalassemia and Hemoglobinopathies in Shafa Hospital of Ahwaz Joundishapour University of medical sciences, respectively. We detected 173 patients as iron deficiency anemia (IDA) and 627 individuals as thalassemic patients by use of different indices. We have successfully detected 75% (472/627) of the β-thalassemia mutations by using amplification refractory mutation system (ARMS) technique and 19% (130/627) of the β-thalassemia mutations by using Gap-PCR technique and 6% (25/627) as Hb variants by Hb electrophoresis technique. We did prenatal diagnosis (PND) for 176 couples which had background of thalassemia in first pregnancy. Result of PND diagnosis in the first trimester was 35% (62/176) affected fetus with β-thalassemia major and sickle cell disease that led to termination of the pregnancy.

CONCLUSION:

Almost all hemoglobinopathies can be detected with the current PCR-based assays with the exception of a few rare deletions. However, the molecular diagnostic service is still under development to try and meet the demands of the population it serves. In the short term, the current generation of instruments such as the capillary electrophoresis systems, has greatly simplified DNA sequence analysis.     

Identification of Chromosomal Errors in Human Preimplantation Embryos with Oligonucleotide DNA Microarray

A previous study comparing the performance of different platforms for DNA microarray found that the oligonucleotide (oligo) microarray platform containing 385K isothermal probes had the best performance when evaluating dosage sensitivity, precision, specificity, sensitivity and copy number variations border definition. Although oligo microarray platform has been used in some research fields and clinics, it has not been used for aneuploidy screening in human embryos. The present study was designed to use this new microarray platform for preimplantation genetic screening in the human. A total of 383 blastocysts from 72 infertility patients with either advanced maternal age or with previous miscarriage were analyzed after biopsy and microarray. Euploid blastocysts were transferred to patients and clinical pregnancy and implantation rates were measured. Chromosomes in some aneuploid blastocysts were further analyzed by fluorescence in-situ hybridization (FISH) to evaluate accuracy of the results. We found that most (58.1%) of the blastocysts had chromosomal abnormalities that included single or multiple gains and/or losses of chromosome(s), partial chromosome deletions and/or duplications in both euploid and aneuploid embryos. Transfer of normal euploid blastocysts in 34 cycles resulted in 58.8% clinical pregnancy and 54.4% implantation rates. Examination of abnormal blastocysts by FISH showed that all embryos had matching results comparing microarray and FISH analysis. The present study indicates that oligo microarray conducted with a higher resolution and a greater number of probes is able to detect not only aneuploidy, but also minor chromosomal abnormalities, such as partial chromosome deletion and/or duplication in human embryos. Preimplantation genetic screening of the aneuploidy by DNA microarray is an advanced technology used to select embryos for transfer and improved embryo implantation can be obtained after transfer of the screened normal embryos.     

Fluorescent in situ hybridization on tissue microarrays: challenges and solutions

Tissue microarray (TMA) technology has provided a high throughput means of evaluating potential biomarkers and therapeutic targets in archival pathological specimens. TMAs facilitate the rapid assessment of molecular alterations in hundreds of different tumours on a single slide. Sections from TMAs can be used for any in situ tissue analysis, including fluorescent in situ hybridization (FISH). FISH is a molecular technique that detects numerical and structural abnormalities in both metaphase chromosomes and interphase nuclei. FISH is commonly used as a prognostic and diagnostic tool for the detection of translocations and for the assessment of gene deletion and amplification in tumours. Performing FISH on TMAs enables researchers to determine the clinical significance of specific genetic alterations in hundreds of highly characterized tumours. The use of FISH on archival paraffin embedded tissues is technically demanding and becomes even more challenging when applied to paraffin embedded TMAs. The problems encountered with FISH on TMAs, including probe preparation, hybridization, and potential applications of FISH, will be addressed in this review.     

Comparison of genome diversity of Brucella spp. field isolates using Universal Bio-signature Detection Array and whole genome sequencing reveals limitations of current diagnostic methods

The detection and identification of bio-threat agents and the study of host-pathogen interactions require a high-resolution detection platform capable of discerning closely related species. Diverse analysis methods are used to identify pathogens, specifically Brucella species or biovars. In this study, we compared four diagnostic approaches including serology-based biochemical test, PCR assay, microarray analysis using a Universal Bio-signature Detection Array (UBDA) and whole genome "deep" sequencing for Brucella organisms including a number of field isolates. We found that although there was frequent agreement among the different tests, some tests gave compound/contradictory results that were a consequence of species diversity due to mixed infections or minor contaminants as measured by UBDA and validated from whole genome sequence. By comparing these analysis techniques, we demonstrate that standard diagnostics used in the field are limited in their ability to identify genomic DNA contaminants in field isolates while UBDA and sequencing analysis are highly sensitive in tracing genomic differences among the isolates.     

The microbial detection array combined with random Phi29-amplification used as a diagnostic tool for virus detection in clinical samples

A common technique used for sensitive and specific diagnostic virus detection in clinical samples is PCR that can identify one or several viruses in one assay. However, a diagnostic microarray containing probes for all human pathogens could replace hundreds of individual PCR-reactions and remove the need for a clear clinical hypothesis regarding a suspected pathogen. We have established such a diagnostic platform for random amplification and subsequent microarray identification of viral pathogens in clinical samples. We show that Phi29 polymerase-amplification of a diverse set of clinical samples generates enough viral material for successful identification by the Microbial Detection Array, demonstrating the potential of the microarray technique for broad-spectrum pathogen detection. We conclude that this method detects both DNA and RNA virus, present in the same sample, as well as differentiates between different virus subtypes. We propose this assay for diagnostic analysis of viruses in clinical samples.     

Use of factor-H sera for the differentiation of the flagellar antigens of Escherichia coli serological variants

The use of factor sera permitting the differentiation of the variants, described in earlier. works, among the flagellar antigens of E. coli, formally denoted as H2, H4, H7, H10 and H34 in accordance with their official nomenclature, has made it possible to reveal that each of these variants is widely spread among E. coli and occurs in bacteria of different O-groups. Besides, this study has shown the possibility of subdividing a number of formal H: O types into 2 or more serovars on the basis of differences in the factor composition of their antigens. The results obtained in this study suggest that in the process of the evolution of E. coli H-antigen variants differing in their factor composition have been formed as independent varieties; therefore, these variants do not reflect the features characteristic of individual strains, but constitute one of the diagnostic signs of serological classification, i. e. the differentiation of the species into various serovars.