Interpretation of array comparative genome hybridization data: a major challenge

A Reassessment of Copy Number Variations in Congenital Heart Defects: Picturing the Whole Genome

Copy number variations (CNVs) can modulate phenotypes by affecting protein-coding sequences directly or through interference of gene expression. Recent studies in cancer and limb defects pinpointed the relevance of non-coding gene regulatory elements such as long non-coding RNAs (lncRNAs) and topologically associated domain (TAD)-related gene-enhancer interactions. The contribution of such non-coding elements is largely unexplored in congenital heart defects (CHD). We performed a retrospective analysis of CNVs reported in a cohort of 270 CHD patients. We reviewed the diagnostic yield of pathogenic CNVs, and performed a comprehensive reassessment of 138 CNVs of unknown significance (CNV-US), evaluating protein-coding genes, lncRNA genes, and potential interferences with TAD-related gene-enhancer interactions. Fifty-two of the 138 CNV-US may relate to CHD, revealing three candidate CHD regions, 19 candidate CHD genes, 80 lncRNA genes of interest, and six potentially CHD-related TAD interferences. Our study thus indicates a potential relevance of non-coding gene regulatory elements in CNV-related CHD pathogenesis. Shortcomings in our current knowledge on genomic variation call for continuous reporting of CNV-US in international databases, careful patient counseling, and additional functional studies to confirm these preliminary findings.

Comparison of the diagnostic yield of aCGH and genome-wide sequencing across different neurodevelopmental disorders

Most consensus recommendations for the genetic diagnosis of neurodevelopmental disorders (NDDs) do not include the use of next generation sequencing (NGS) and are still based on chromosomal microarrays, such as comparative genomic hybridization array (aCGH). This study compares the diagnostic yield obtained by aCGH and clinical exome sequencing in NDD globally and its spectrum of disorders. To that end, 1412 patients clinically diagnosed with NDDs and studied with aCGH were classified into phenotype categories: global developmental delay/intellectual disability (GDD/ID); autism spectrum disorder (ASD); and other NDDs. These categories were further subclassified based on the most frequent accompanying signs and symptoms into isolated forms, forms with epilepsy; forms with micro/macrocephaly and syndromic forms. Two hundred and forty-five patients of the 1412 were subjected to clinical exome sequencing. Diagnostic yield of aCGH and clinical exome sequencing, expressed as the number of solved cases, was compared for each phenotype category and subcategory. Clinical exome sequencing was superior than aCGH for all cases except for isolated ASD, with no additional cases solved by NGS. Globally, clinical exome sequencing solved 20% of cases (versus 5.7% by aCGH) and the diagnostic yield was highest for all forms of GDD/ID and lowest for Other NDDs (7.1% versus 1.4% by aCGH) and ASD (6.1% versus 3% by aCGH). In the majority of cases, diagnostic yield was higher in the phenotype subcategories than in the mother category. These results suggest that NGS could be used as a first-tier test in the diagnostic algorithm of all NDDs followed by aCGH when necessary.

Copy number variation (CNV) identification, interpretation, and database from Brazilian patients

Copy number variations (CNVs) constitute an important class of variation in the human genome and the interpretation of their pathogenicity considering different frequencies across populations is still a challenge for geneticists. Since the CNV databases are predominantly composed of European and non-admixed individuals, and Brazilian genetic constitution is admixed and ethnically diverse, diagnostic screenings on Brazilian variants are greatly difficulted by the lack of populational references. We analyzed a clinical sample of 268 Brazilian individuals, including patients with neurodevelopment disorders and/or congenital malformations. The pathogenicity of CNVs was classified according to their gene content and overlap with known benign and pathogenic variants. A total of 1,504 autosomal CNVs (1,207 gains and 297 losses) were classified as benign (92.9%), likely benign (1.6%), VUS (2.6%), likely pathogenic (0.2%) and pathogenic (2.7%). Some of the CNVs were recurrent and with frequency increased in our sample, when compared to populational open resources of structural variants: 14q32.33, 22q11.22, 1q21.1, and 1p36.32 gains. Thus, these highly recurrent CNVs classified as likely benign or VUS were considered non-pathogenic in our Brazilian sample. This study shows the relevance of introducing CNV data from diverse cohorts to improve on the interpretation of clinical impact of genomic variations.

Parallel detection of single nucleotide variants and copy number variants with exome analysis: Validation in a cohort of 700 undiagnosed patients

Copy number variants (CNVs) are significant causes of rare and undiagnosed diseases. Parallel detection of single nucleotide variants (SNVs) and CNVs with exome analysis, if feasible, would shorten the diagnostic closure in a timely manner. We validated such “parallel” approach through a cohort study of 791 undiagnosed patients. In addition to routine exome analysis, we applied an innovative algorithm EXCAVATOR2 which enhances sensitivity by paradoxically exploiting read depth data that covers nonexonic regions where baits were not originally intended to hybridize. About 48 patients had copy number variations, 42 deletions, and 6 duplications with a resolution of 0.51–14.7 mega base pairs. Importantly from a clinical standpoint, we identified three patients with “dual diagnosis” due to concurrent pathogenic CNV and SNV. We suggest “hitting two birds with one stone” approach to exome data is an efficient strategy in deciphering undiagnosed patients and may well be considered as a first‐tier genetic test.

Phenotype comparison among individuals with developmental delay/intellectual disability with or without genomic imbalances

BACKGROUND

The chromosomal microarray analysis (CMA) is recommended as a first-tier test for individuals with developmental delay (DD)/intellectual disability (ID) and/or multiple congenital anomalies. However, owing to high costs, this technique is not widely performed for diagnostic purposes in several countries. The aim of this study was to identify clinical features that could favour the hypothesis of genomic imbalances (GIs) in individuals with DD/ID.

METHODS

The sample consisted of 63 individuals, and all of them underwent a detailed evaluation by a clinical geneticist and were investigated by the CMA. They were divided into two groups. Group A composed of 20 individuals with pathogenic copy number variants (CNVs); and group B composed of 43 individuals with normal CMA results or variants of uncertain clinical significance (VUS).

RESULTS

Pathogenic GIs were found in 20 cases (32%), including 11 individuals with an abnormal karyotype, VUS was found in five individuals (8%) and the results were normal in 38 individuals (60%). Major anomalies were found in 15/20 (75%) individuals in group A against 35/43 (81%) in group B. Dysmorphisms (≥5) were found in 17/20 (85%) in group A and 41/43 (95%) in group B. The most frequent major anomalies detected in group A were congenital heart disease, epilepsy and renal malformation; and in group B, they were malformations of central nervous system, congenital heart disease, microcephaly, epilepsy and hearing impairment. There was no significant statistical difference among the frequencies in groups A and B.

CONCLUSIONS

Evidences point that every individual with DD/ID, with no specific clinical suspicion, should have screening for GIs as a first-tier test, regardless of the presence or absence of additional major anomalies or dysmorphisms. Future studies with a similar design would be helpful, especially in countries where the access to new technologies is still limited.

Prematurity, ventricular septal defect and dysmorphisms are independent predictors of pathogenic copy number variants: a retrospective study on array-CGH results and phenotypical features of 293 children with neurodevelopmental disorders and/or multiple congenital anomalies

BACKGROUND

Since 2010, array-CGH (aCGH) has been the first-tier test in the diagnostic approach of children with neurodevelopmental disorders (NDD) or multiple congenital anomalies (MCA) of unknown origin. Its broad application led to the detection of numerous variants of uncertain clinical significance (VOUS). How to appropriately interpret aCGH results represents a challenge for the clinician.

METHOD

We present a retrospective study on 293 patients with age range 1 month - 29 years (median 7 years) with NDD and/or MCA and/or dysmorphisms, investigated through aCGH between 2005 and 2016. The aim of the study was to analyze clinical and molecular cytogenetic data in order to identify what elements could be useful to interpret unknown or poorly described aberrations. Comparison of phenotype and cytogenetic characteristics through univariate analysis and multivariate logistic regression was performed.

RESULTS

Copy number variations (CNVs) with a frequency < 1% were detected in 225 patients of the total sample, while 68 patients presented only variants with higher frequency (heterozygous deletions or amplification) and were considered to have negative aCGH. Proved pathogenic CNVs were detected in 70 patients (20.6%). Delayed psychomotor development, intellectual disability, intrauterine growth retardation (IUGR), prematurity, congenital heart disease, cerebral malformations and dysmorphisms correlated to reported pathogenic CNVs. Prematurity, ventricular septal defect and dysmorphisms remained significant predictors of pathogenic CNVs in the multivariate logistic model whereas abnormal EEG and limb dysmorphisms were mainly detected in the group with likely pathogenic VOUS. A flow-chart regarding the care for patients with NDD and/or MCA and/or dysmorphisms and the interpretation of aCGH has been made on the basis of the data inferred from this study and literature.

CONCLUSION

Our work contributes to make the investigative process of CNVs more informative and suggests possible directions in aCGH interpretation and phenotype correlation.

Application of high-resolution array platform for genome-wide copy number variation analysis in patients with nonsyndromic cleft lip and palate

BACKGROUND

Although more than 14 loci may be involved in the development of nonsyndromic cleft lip and palate (NSCLP), the etiology has not been fully elucidated due to genetic and environmental risk factor interactions. Despite advances in identifying genes associated with the NSCLP development using traditional genetic mapping strategies of candidate genes, genome-wide studies, and epidemiologic and linkage analysis, microarray techniques have become important complementary tools in the search for potential causative oral clefts genes in genetic studies. Microarray hybridization enables scanning of the whole genome and detecting copy number variants (CNVs). Although common benign CNVs are often smaller, with sizes smaller than 20 kb, here we reveal small exonic CNVs based on the importance of the encompassed genes in cleft lip and palate phenotype.

METHODS

Microarray hybridization analysis was performed in 15 individuals with NSCLP.

RESULTS

We identified 11 exonic CNVs affecting at least one exon of the candidate genes. Thirteen candidate genes (COL11A1-1p21; IRF6-1q32.3; MSX1-4p16.2; TERT-5p15.33; MIR4457-5p15.33; CLPTM1L-5p15.33; ESR1-6q25.1; GLI3-7p13; FGFR-8p11.23; TBX1-22q11.21; OFD-Xp22; PHF8-Xp11.22; and FLNA-Xq28) overlapped with the CNVs identified.

CONCLUSIONS

Considering the importance to NSCLP, the microdeletions that encompass MSX1, microduplications over TERT, MIR4457, CLPTM1L, and microduplication of PHF8 have been identified as small CNVs related to sequence variants associated with oral clefts susceptibility. Our findings represent a preliminary study on the clinical significance of small CNVs and their relationship with genes implicated in NSCLP.

Clinical interpretation of copy number variants in the human genome

Molecular methods, by which copy number variants (CNVs) detection is available, have been gradually introduced into routine diagnostics over the last 15 years. Despite this, some CNVs continue to be a huge challenge when it comes to clinical interpretation. CNVs are an important source of normal and pathogenic variants, but, in many cases, their impact on human health depends on factors that are not yet known. Therefore, perception of their clinical consequences can change over time, as our knowledge grows. This review summarises guidelines that facilitate correct classification of identified changes and discusses difficulties with the interpretation of rare, small CNVs.

Chromosome microarray analysis in the investigation of children with congenital heart disease

BACKGROUND

Our study was aimed to explore the clinical implication of chromosome microarray analysis (CMA) in genetically etiological diagnosis of children with congenital heart disease (CHD).

METHODS

A total of 104 children with CHD with or without multiple congenital anomalies (MCA) or intellectual disabilities/developmental delay (ID/DD) but normal karyotype were investigated using Affymetrix CytoScan HD array.

RESULT

Pathogenic copy number variations (PCNVs) were identified in 29 children (27.9%). The detection rates in children with simple CHD and complex CHD were 31.1% (19/61) and 23.2% (10/43), respectively. The detection rates of PCNVs were 17.9% (7/39), 20% (5/25), 63.2% (12/19) and 23.8% (5/21) in isolated CHD, CHD plus MCA, CHD plus ID/DD, CHD plus MCA and ID/DD, respectively. The PCNVs rate of CHD plus ID/DD was significantly higher than that of isolated CHD. Two genomic loci including 15q11.2 deletion and 1q43-q44 deletion were considered as CHD locus. The DVL1, SKI, STIM1, CTNNA3 and PLN were identified as candidate genes associated with CHD phenotypes.

CONCLUSION

CMA can increase the diagnostic rate and improve the etiological diagnosis in children with CHD. We suggest CMA as a first-tier test in children with CHD, especially in children with CHD plus ID/DD.

Clinical relevance of small copy-number variants in chromosomal microarray clinical testing

PURPOSE

The 2010 consensus statement on diagnostic chromosomal microarray (CMA) testing recommended an array resolution ≥400 kb throughout the genome as a balance of analytical and clinical sensitivity. In spite of the clear evidence for pathogenicity of large copy-number variants (CNVs) in neurodevelopmental disorders and/or congenital anomalies, the significance of small, nonrecurrent CNVs (<500 kb) has not been well established in a clinical setting.

METHODS

We investigated the clinical significance of all nonpolymorphic small, nonrecurrent CNVs (<500 kb) in patients referred for CMA clinical testing over a period of 6 years, from 2009 to 2014 (a total of 4,417 patients). We excluded from our study patients with benign or likely benign CNVs and patients with only recurrent microdeletions/microduplications <500 kb.

RESULTS

In total, 383 patients (8.67%) were found to carry at least one small, nonrecurrent CNV, of whom 176 patients (3.98%) had one small CNV classified as a variant of uncertain significance (VUS), 45 (1.02%) had two or more small VUS CNVs, 20 (0.45%) had one small VUS CNV and a recurrent CNV, 113 (2.56%) had one small pathogenic or likely pathogenic CNV, 17 (0.38%) had two or more small pathogenic or likely pathogenic CNVs, and 12 (0.27%) had one small pathogenic or likely pathogenic CNV and a recurrent CNV. Within the pathogenic group, 80 of 142 patients (56% of all small pathogenic CNV cases) were found to have a single whole-gene or exonic deletion. The themes that emerged from our study are presented in the Discussion section.

CONCLUSIONS

Our study demonstrates the diagnostic clinical relevance of small, nonrecurrent CNVs <500 kb during CMA clinical testing and underscores the need for careful clinical interpretation of these CNVs.Genet Med 19 4, 377-385.

Whole exome sequencing is necessary to clarify ID/DD cases with de novo copy number variants of uncertain significance: Two proof-of-concept examples

Whole exome sequencing (WES) is a powerful tool to identify clinically undefined forms of intellectual disability/developmental delay (ID/DD), especially in consanguineous families. Here we report the genetic definition of two sporadic cases, with syndromic ID/DD for whom array-Comparative Genomic Hybridization (aCGH) identified a de novo copy number variant (CNV) of uncertain significance. The phenotypes included microcephaly with brachycephaly and a distinctive facies in one proband, and hypotonia in the legs and mild ataxia in the other. WES allowed identification of a functionally relevant homozygous variant affecting a known disease gene for rare syndromic ID/DD in each proband, that is, c.1423C>T (p.Arg377*) in the Trafficking Protein Particle Complex 9 (TRAPPC9), and c.154T>C (p.Cys52Arg) in the Very Low Density Lipoprotein Receptor (VLDLR). Four mutations affecting TRAPPC9 have been previously reported, and the present finding further depicts this syndromic form of ID, which includes microcephaly with brachycephaly, corpus callosum hypoplasia, facial dysmorphism, and overweight. VLDLR-associated cerebellar hypoplasia (VLDLR-CH) is characterized by non-progressive congenital ataxia and moderate-to-profound intellectual disability. The c.154T>C (p.Cys52Arg) mutation was associated with a very mild form of ataxia, mild intellectual disability, and cerebellar hypoplasia without cortical gyri simplification. In conclusion, we report two novel cases with rare causes of autosomal recessive ID, which document how interpreting de novo array-CGH variants represents a challenge in consanguineous families; as such, clinical WES should be considered in diagnostic testing. © 2016 Wiley Periodicals, Inc.

Association between chromosomal aberration of COX8C and tethered spinal cord syndrome: array-based comparative genomic hybridization analysis

Copy number variations have been found in patients with neural tube abnormalities. In this study, we performed genome-wide screening using high-resolution array-based comparative genomic hybridization in three children with tethered spinal cord syndrome and two healthy parents. Of eight copy number variations, four were non-polymorphic. These non-polymorphic copy number variations were associated with Angelman and Prader-Willi syndromes, and microcephaly. Gene function enrichment analysis revealed that COX8C, a gene associated with metabolic disorders of the nervous system, was located in the copy number variation region of Patient 1. Our results indicate that array-based comparative genomic hybridization can be used to diagnose tethered spinal cord syndrome. Our results may help determine the pathogenesis of tethered spinal cord syndrome and prevent occurrence of this disease.

Copy number variants prioritization after array-CGH analysis - a cohort of 1000 patients

BACKGROUND

Array-based comparative genomic hybridization has been assumed to be the first genetic test offered to detect genomic imbalances in patients with unexplained intellectual disability with or without dysmorphisms, multiple congenital anomalies, learning difficulties and autism spectrum disorders. Our study contributes to the genotype/phenotype correlation with the delineation of laboratory criteria which help to classify the different copy number variants (CNVs) detected. We clustered our findings into five classes ranging from an imbalance detected in a microdeletion/duplication syndrome region (class I) to imbalances that had previously been reported in normal subjects in the Database of Genomic Variants (DGV) and thus considered common variants (class IV).

RESULTS

All the analyzed 1000 patients had at least one CNV independently of its clinical significance. Most of them, as expected, were alterations already reported in the DGV for normal individuals (class IV) or without known coding genes (class III-B). In approximately 14 % of the patients an imbalance involving known coding genes, but with partially overlapping or low frequency of CNVs described in the DGV was identified (class IIIA). In 10.4 % of the patients a pathogenic CNV that explained the phenotype was identified consisting of: 40 class I imbalances, 44 class II de novo imbalances and 21 class II X-chromosome imbalances in male patients. In 20 % of the patients a familial pathogenic or potentially pathogenic CNV, consisting of inherited class II imbalances, was identified that implied a family evaluation by the clinical geneticists.

CONCLUSIONS

As this interpretation can be sometimes difficult, particularly if it is not possible to study the parents, using the proposed classification we were able to prioritize the multiple imbalances that are identified in each patient without immediately having to classify them as pathogenic or benign.

Molecular and cytogenetic analysis in stillbirth: results from 481 consecutive cases

INTRODUCTION

The underlying causes of stillbirth are heterogeneous and in many cases unexplained. Our aim was to conclude clinical results from karyotype and quantitative fluorescence-polymerase chain reaction (QF-PCR) analysis of all stillbirths occurring in Stockholm County between 2008 and 2012. By screening a subset of cases, we aimed to study the possible benefits of chromosomal microarray (CMA) in the analysis of the etiology of stillbirth.

METHODS

During 2008-2012, 481 stillbirths in Stockholm County were investigated according to a clinical protocol including karyotype or QF-PCR analysis. CMA screening was performed on a subset of 90 cases, corresponding to all stillbirths from 2010 without a genetic diagnosis.

RESULTS

Chromosomal aberrations were detected by karyotype or QF-PCR analysis in 7.5% of the stillbirths. CMA analysis additionally identified two known syndromes, one aberration disrupting a known disease gene, and 26 variants of unknown significance. Furthermore, CMA had a significantly higher success rate than karyotyping (100 vs. 80%, p < 0.001).

DISCUSSION

In the analysis of stillbirth, conventional karyotyping is prone to failure, and QF-PCR is a useful complement. We show that CMA has a higher success rate and aberration detection frequency than these methods, and conclude that CMA is a valuable tool for identification of chromosomal aberrations in stillbirth.

PhenoVar: a phenotype-driven approach in clinical genomics for the diagnosis of polymalformative syndromes

BACKGROUND

We propose a phenotype-driven analysis of encrypted exome data to facilitate the widespread implementation of exome sequencing as a clinical genetic screening test.Twenty test-patients with varied syndromes were selected from the literature. For each patient, the mutation, phenotypic data, and genetic diagnosis were available. Next, control exome-files, each modified to include one of these twenty mutations, were assigned to the corresponding test-patients. These data were used by a geneticist blinded to the diagnoses to test the efficiency of our software, PhenoVar. The score assigned by PhenoVar to any genetic diagnosis listed in OMIM (Online Mendelian Inheritance in Man) took into consideration both the patient's phenotype and all variations present in the corresponding exome. The physician did not have access to the individual mutations. PhenoVar filtered the search using a cut-off phenotypic match threshold to prevent undesired discovery of incidental findings and ranked the OMIM entries according to diagnostic score.

RESULTS

When assigning the same weight to all variants in the exome, PhenoVar predicted the correct diagnosis in 10/20 patients, while in 15/20 the correct diagnosis was among the 4 highest ranked diagnoses. When assigning a higher weight to variants known, or bioinformatically predicted, to cause disease, PhenoVar's yield increased to 14/20 (18/20 in top 4). No incidental findings were identified using our cut-off phenotypic threshold.

CONCLUSION

The phenotype-driven approach described could render widespread use of ES more practical, ethical and clinically useful. The implications about novel disease identification, advancement of complex diseases and personalized medicine are discussed.

[Identifying rare genomic disorders with array comparative genomic hybridization in Hungary]

INTRODUCTION

In the past decade the study of genomic disorders has received more interest. Array comparative genome hybridization is a widely spread diagnostic method in the research of genomic disorders. This method was implemented in the laboratory of the authors in 2012.

AIM

This molecular cytogenetic method was first used to examine patients with complex developmental disorders in whom no genetic background was identified by traditional methods.

METHOD

The authors complemented traditional diagnostic methods with array comparative genome hybridization, which has not been used in routine diagnostics in Hungary so far.

RESULTS

Using this novel method the authors were able to identify genomic alterations in 7 out of 18 patients with complex developmental disorders. They found de novo alterations in 6 out of 7 patients, which were most likely causative in the development of the phenotype, while in one case they detected a familial genomic alteration. This method helped the authors to determine the breakpoint of genomic variation in their patients and delineate the affected genes contributing to the phenotype.

CONCLUSIONS

These results call attention to the usefulness of next generation diagnostic methods available in the laboratory of the authors.

Human molecular cytogenetics: From cells to nucleotides

The field of cytogenetics has focused on studying the number, structure, function and origin of chromosomal abnormalities and the evolution of chromosomes. The development of fluorescent molecules that either directly or via an intermediate molecule bind to DNA has led to the development of fluorescent in situ hybridization (FISH), a technology linking cytogenetics to molecular genetics. This technique has a wide range of applications that increased the dimension of chromosome analysis. The field of cytogenetics is particularly important for medical diagnostics and research as well as for gene ordering and mapping. Furthermore, the increased application of molecular biology techniques, such as array-based technologies, has led to improved resolution, extending the recognized range of microdeletion/microduplication syndromes and genomic disorders. In adopting these newly expanded methods, cytogeneticists have used a range of technologies to study the association between visible chromosome rearrangements and defects at the single nucleotide level. Overall, molecular cytogenetic techniques offer a remarkable number of potential applications, ranging from physical mapping to clinical and evolutionary studies, making a powerful and informative complement to other molecular and genomic approaches. This manuscript does not present a detailed history of the development of molecular cytogenetics; however, references to historical reviews and experiments have been provided whenever possible. Herein, the basic principles of molecular cytogenetics, the technologies used to identify chromosomal rearrangements and copy number changes, and the applications for cytogenetics in biomedical diagnosis and research are presented and discussed.

Molecular genetic methods in the diagnosis of myelodysplastic syndromes. A review

BACKGROUND

Myelodysplastic syndromes (MDS) represent a heterogeneous group of premalignant hematologic disorders characterized by ineffective hematopoiesis, peripheral blood cytopenias and increased risk of progression to acute leukemia. Cytogenetic analysis still plays a central role in the diagnosis of MDS, as clonal chromosomal abnormalities are observed in 30-50% of MDS patients. Despite their technical limitations, standard karyotyping and fluorescence in situ hybridization (FISH) are routinely used for identifying recurrent chromosomal rearrangements. However, using this approach means that submicroscopic and not targeted chromosomal aberrations, as well as somatic mutations and epigenetic changes remain largely undetected.

METHODS AND RESULTS

Introduction of methods for the analysis of copy-number variations (CNV), including array-based technologies and Multiplex ligation-dependent probe amplification (MLPA) has provided novel insights into the molecular pathogenesis of MDS and considerably extended possibilities for genetic laboratory testing. Several novel molecular markers have been discovered and used for diagnosis and prognostic evaluation of patients with MDS. At present, mutational analysis is not routinely performed, as the clinical significance of somatic mutations in MDS has only begun to emerge. However, recently introduced Next-generation sequencing (NGS) technologies could help to elucidate the relationship between chromosomal and molecular aberrations in MDS and lead to further improvement in its diagnosis.

CONCLUSION

This review focuses on the advantages, limitations, clinical applications and future perspectives of three molecular methods (array-based analysis, MLPA and NGS) currently used in genetic testing and/ or translational research of MDS. In conclusion, a brief summary for clinicians from the routine diagnostic point of view is given.

Chromosomal microaberrations in patients with epilepsy, intellectual disability, and congenital anomalies

Epilepsy is a common finding in patients with chromosomal macro- and micro-rearrangements but only few aberrations show a constant pattern of seizures. DNA array-based studies have reported causative copy number variations (CNVs) in 5-30% of patients with epilepsy with or without co-morbidities. The interpretation of many of the detected CNVs remains challenging. In order to identify CNVs carrying epilepsy-related genes we investigated 43 children with various patterns of epileptic seizures, intellectual disability (ID), and minor dysmorphism, using the Illumina® Infinium Human1M-DuoV1 array. In three patients we found likely causative de novo CNVs, i.e. deletions in 1q41q42.12 (3.4 Mb) and 19p13.2 (834 kb), and a mosaic two-segment duplication in 17p13.2 (218 kb) and 17p13.1 (422 kb). In six additional patients there were aberrations (a deletion in one and duplications in five patients) with uncertain clinical consequences. In total, the finding of causative chromosomal micro-rearrangements in 3 out of 43 patients (7%) and potentially causative CNVs in 6 additional patients (14%) with epilepsy and ID but without major malformations confirms the power of DNA arrays for the detection of new disease-related genetic regions.

On the spot: very local chromosomal rearrangements

Over the last decade, the detection of chromosomal abnormalities has shifted from conventional karyotyping under a light microscope to molecular detection using microarrays. The latter technology identified copy number variation as a major source of variation in the human genome; moreover, copy number variants were found responsible for 10-20% of cases of intellectual disability. Recent technological advances in microarray technology have also enabled the detection of very small local chromosomal rearrangements, sometimes affecting the function of only a single gene. Here, we illustrate how high resolution microarray analysis has led to increased insights into the contribution of specific genes in disease.

Molekulare Karyotypisierung in der Diagnostik neurokognitiver Entwicklungsstörungen

Die Ursache neurokognitiver Entwicklungsstörungen mit Intelligenzminderung stellt eine der häufigsten Fragestellungen in der genetischen Sprechstunde dar. Obwohl mehr als 400 krankheitsverursachende Einzelgendefekte bekannt sind, machen Chromosomenaberrationen derzeit den größten Anteil der bekannten Ursachen aus. Mittels hochauflösender Array-Techniken lassen sich nach Ausschluss des Down-Syndroms bei unselektionierten Patienten in 18% der Fälle relevante chromosomale Imbalancen nachweisen, wobei die Aberrationen nur in 4% der Fälle auch primär mikroskopisch sichtbar wären. Mit zunehmender Auflösung steigt jedoch auch die Rate an detektierten Kopienzahl-Normvarianten, welche die Beurteilung der Befunde erschweren können. Indikatoren für krankheitsrelevante Aberrationen sind Aberrationsgröße, Gengehalt und Segregation innerhalb der Familie. Eine Kausalität kann letztlich aber nur dann belegt werden, wenn Vergleichsfälle mit ähnlichem Genotyp und Phänotyp vorliegen.

Sporadic male patients with intellectual disability: contribution of X-chromosome copy number variants

Genome-wide array comparative genome hybridization has become the first in line diagnostic tool in the clinical work-up of patients presenting with intellectual disability. As a result, chromosome X-copy number variations are frequently being detected in routine diagnostics. We retrospectively reviewed genome wide array-CGH data in order to determine the frequency and nature of chromosome X-copy number variations (X-CNV) in a cohort of 2222 sporadic male patients with intellectual disability (ID) referred to us for diagnosis. In this cohort, 68 males were found to have at least one X-CNV (3.1%). However, correct interpretation of causality remains a challenging task, and is essential for proper counseling, especially when the CNV is inherited. On the basis of these data, earlier experience and literature data we designed and propose an algorithm that can be used to evaluate the clinical relevance of X-CNVs detected in sporadic male ID patients. Applied to our cohort, 19 male ID patients (0.85%) were found to carry a (likely) pathogenic X-CNV.