Single Nucleotide Polymorphism Array Technology Research Articles

Prenatal diagnosis of non-mosaic sex chromosome abnormalities: a 10-year experience from a tertiary referral center.

The aim of this study was to explore the frequency and profile of non-mosaic sex chromosome abnormalities detected in prenatal diagnosis over the past 10 years. We retrospectively reviewed pregnancies diagnosed with non-mosaic sex chromosome abnormalities between January 2012 and December 2021, using karyotyping and/or single nucleotide polymorphism (SNP) array. Maternal age, indications for testing, and outcomes were recorded. Traditional karyotyping identified 269 (0.90 %) cases of non-mosaic sex chromosome abnormalities among 29,832 fetuses, including 249 cases of numerical abnormalities, 15 unbalanced structural abnormalities, and 5 balanced structural abnormalities. The overall detection rate of common sex chromosome aneuploidies (SCAs) was 0.81 %, with 47,XXY, 47,XXX, 47,XYY, and 45,X accounting for 0.32 , 0.19, 0.17, and 0.13 % respectively. All showed a fluctuating upward trend over the study period, except for 45,X. During the first five years (2012-2016), the major indication for testing was advanced maternal age (AMA), followed by abnormal ultrasound, abnormal noninvasive prenatal testing (NIPT), and abnormal maternal serum screening (MSS). In the second five years (2017-2021), the most frequent indication was abnormal NIPT, followed by AMA, abnormal ultrasound, and abnormal MSS. Among the 7,780 cases that underwent SNP array in parallel, an additional 29 clinically significant aberrations were detected. The most frequent aberration was a microdeletion in the Xp22.31 region, which was associated with X-linked ichthyosis. Fetal sex chromosome abnormalities are important findings in prenatal diagnosis. The application of NIPT and SNP array technology has greatly improved the detection of SCAs and submicroscopic aberrations associated with sex chromosomes.

Application of Single Nucleotide Polymorphism Microarray in Prenatal Diagnosis of Fetuses with Central Nervous System Abnormalities.

BackgroundThe current gold standard of karyotype analysis for prenatal diagnosis of fetuses with central nervous system (CNS) abnormalities has some limitations. Here, we assessed the value of single nucleotide polymorphism (SNP) arrays as a diagnostic tool.MethodsThe results of prenatal diagnosis of 344 fetuses with CNS abnormalities as determined by ultrasonographic screening were retrospectively analyzed. All fetuses underwent chromosomal karyotype analysis and genome-wide SNP array analysis simultaneously. The resultant rates and frequencies of genomic abnormalities were compared.ResultsKaryotype analysis found 45 (13.2%) abnormal CNS cases, while SNP array found 60 (17.4%) cases. SNP array detected 23 (6.7%) cases of submicroscopic abnormalities that karyotype analysis did not find. The detection rate of karyotype analysis was 8.1% in the group with isolated CNS anomalies, but 16.5% in the group with CNS abnormalities plus extra ultrasound anomalies. Detection rates of SNP array were 12.4% and 20.8% in these two groups, respectively. Statistical analysis showed that the detection rates of both methods were significantly higher in the group with CNS malformations and other ultrasound anomalies than in the group with isolated CNS anomalies. Abnormal chromosomes were detected most frequently in fetuses with holoprosencephaly.ConclusionGenome-wide SNP array technology can significantly improve the positive detection rate of fetuses with CNS abnormalities. Combining karyotype analysis and SNP array technology is recommended for detecting the development of fetuses with abnormal CNS.

Novel ploidy analysis in ectopic pregnancy

ObjectiveTo study whether a single-nucleotide polymorphism (SNP) array could be used to test tissue from ectopic pregnancy to distinguish whether ectopic pregnancies were aneuploid.DesignCase series report.SettingAcademic medical center.Patient(s)One hundred seventy-eight women who underwent surgery for ectopic pregnancy at Northwestern Memorial Hospital between 2015 and 2018 were eligible for participation; written consent was obtained from 33 patients. Eight subjects had sufficient DNA samples and were included in the analysis. Maternal and paternal DNA samples were self-collected by buccal swab. Archived paraffin tissue containing chorionic villi from each surgically removed ectopic specimen was analyzed using SNP microarray technology to determine chromosome number and evaluate for maternal cell contamination.Intervention(s)None.Main Outcome Measure(s)Prevalence of aneuploidy in ectopic pregnancy specimens as well as success of SNP array technology in formalin-fixed and paraffin-embedded specimens.Result(s)Subjects had a mean (±SD) age of 33.4 ± 5.4 years, body mass index of 23.4 ± 5.7 kg/m2, 3.3 ± 1.8 prior pregnancies, and 1.5 ± 1.4 live births. Genetic testing revealed that all eight tested samples were euploid, 6 female and 2 male (two arr(1-22)x2, (X,Y)x1 and 6 arr(1-22, X)x2); maternal cell contamination was ruled out in all cases.Conclusion(s)This study showed proof of concept for the use of routinely stored formalin-fixed, paraffin-embedded tissue blocks with DNA extraction for SNP array to detect ploidy status of ectopic pregnancy. Although all tested samples were euploid, further research is needed to gain a definitive answer to this question and better understand the mechanism that leads to ectopic implantation.

Genomic study via chromosomal microarray analysis in a group of Romanian patients with obesity and developmental disability/intellectual disability.

Background Obesity with developmental disability/intellectual disability (DD/ID) is the most common association in syndromic obesity. Genomic analysis studies have allowed the decipherment of disease aetiology, both in cases of syndromic obesity as well as in cases of isolated or syndromic DD/ID. However, more data are needed to further elucidate the link between the two. The aim of this pangenomic study was to use single nucleotide polymorphism (SNP) array technology to determine the copy number variant (CNV) type and frequency associated with both obesity and DD/ID. Methods Thirty-six patients were recruited from the Clinical Emergency Hospital for Children, in Cluj-Napoca, Romania during the period 2015-2017. The main inclusion criterion was a diagnosis that included both obesity and DD/ID. Genomic analysis via SNP array technology was performed. Results Out of the 36 patients, 12 (33%) presented CNVs with a higher degree of pathogenicity (A group) and 24 (66%) presented benign CNVs (B group). The SNP array results for the A group were as follows: pathogenic CNVs in 8/12 patients (67%); variants of unknown significance (VOUS) in 2/12 patients (16%); and uniparental disomy (UPD) in 2/12 patients (16%). Conclusions Some of these CNVs have already been observed in patients with both obesity and DD/ID, but the others were noticed only in DD/ID patients and have not been described until now in association with obesity.

Multi-centre evaluation of a comprehensive preimplantation genetic test through haplotyping-by-sequencing.

Can reduced representation genome sequencing offer an alternative to single nucleotide polymorphism (SNP) arrays as a generic and genome-wide approach for comprehensive preimplantation genetic testing for monogenic disorders (PGT-M), aneuploidy (PGT-A) and structural rearrangements (PGT-SR) in human embryo biopsy samples? Reduced representation genome sequencing, with OnePGT, offers a generic, next-generation sequencing-based approach for automated haplotyping and copy-number assessment, both combined or independently, in human single blastomere and trophectoderm samples. Genome-wide haplotyping strategies, such as karyomapping and haplarithmisis, have paved the way for comprehensive PGT, i.e. leveraging PGT-M, PGT-A and PGT-SR in a single workflow. These methods are based upon SNP array technology. This multi-centre verification study evaluated the concordance of PGT results for a total of 225 embryos, including 189 originally tested for a monogenic disorder and 36 tested for a translocation. Concordance for whole chromosome aneuploidies was also evaluated where whole genome copy-number reference data were available. Data analysts were kept blind to the results from the reference PGT method. Leftover blastomere/trophectoderm whole genome amplified (WGA) material was used, or secondary trophectoderm biopsies were WGA. A reduced representation library from WGA DNA together with bulk DNA from phasing references was processed across two study sites with the Agilent OnePGT solution. Libraries were sequenced on an Illumina NextSeq500 system, and data were analysed with Agilent Alissa OnePGT software. The embedded PGT-M pipeline utilises the principles of haplarithmisis to deduce haplotype inheritance whereas both the PGT-A and PGT-SR pipelines are based upon read-count analysis in order to evaluate embryonic ploidy. Concordance analysis was performed for both analysis strategies against the reference PGT method. PGT-M analysis was performed on 189 samples. For nine samples, the data quality was too poor to analyse further, and for 20 samples, no result could be obtained mainly due to biological limitations of the haplotyping approach, such as co-localisation of meiotic crossover events and nullisomy for the chromosome of interest. For the remaining 160 samples, 100% concordance was obtained between OnePGT and the reference PGT-M method. Equally for PGT-SR, 100% concordance for all 36 embryos tested was demonstrated. Moreover, with embryos originally analysed for PGT-M or PGT-SR for which genome-wide copy-number reference data were available, 100% concordance was shown for whole chromosome copy-number calls (PGT-A). Inherent to haplotyping methodologies, processing of additional family members is still required. Biological limitations caused inconclusive results in 10% of cases. Employment of OnePGT for PGT-M, PGT-SR, PGT-A or combined as comprehensive PGT offers a scalable platform, which is inherently generic and thereby, eliminates the need for family-specific design and optimisation. It can be considered as both an improvement and complement to the current methodologies for PGT. Agilent Technologies, the KU Leuven (C1/018 to J.R.V. and T.V.) and the Horizon 2020 WIDENLIFE (692065 to J.R.V. and T.V). H.M. is supported by the Research Foundation Flanders (FWO, 11A7119N). M.Z.E, J.R.V. and T.V. are co-inventors on patent applications: ZL910050-PCT/EP2011/060211- WO/2011/157846 'Methods for haplotyping single cells' and ZL913096-PCT/EP2014/068315 'Haplotyping and copy-number typing using polymorphic variant allelic frequencies'. T.V. and J.R.V. are co-inventors on patent application: ZL912076-PCT/EP2013/070858 'High-throughput genotyping by sequencing'. Haplarithmisis ('Haplotyping and copy-number typing using polymorphic variant allelic frequencies') has been licensed to Agilent Technologies. The following patents are pending for OnePGT: US2016275239, AU2014345516, CA2928013, CN105874081, EP3066213 and WO2015067796. OnePGT is a registered trademark. D.L., J.T. and R.L.R. report personal fees during the conduct of the study and outside the submitted work from Agilent Technologies. S.H. and K.O.F. report personal fees and other during the conduct of the study and outside the submitted work from Agilent Technologies. J.A. reports personal fees and other during the conduct of the study from Agilent Technologies and personal fees from Agilent Technologies and UZ Leuven outside the submitted work. B.D. reports grants from IWT/VLAIO, personal fees during the conduct of the study from Agilent Technologies and personal fees and other outside the submitted work from Agilent Technologies. In addition, B.D. has a patent 20160275239 - Genetic Analysis Method pending. The remaining authors have no conflicts of interest.

Association Analysis of Baking and Milling Quality Traits in an Elite Soft Red Winter Wheat Population

Although grain yield is the most important trait for growers, milling and baking industries demand high‐quality and scab‐free grains for various end products. To accelerate breeding of wheat (Triticum aestivum L.) cultivars with high grain quality, genetic dissection of quality traits is necessary. Genome‐wide association studies (GWAS) were conducted to identify genomic regions responsible for milling and baking quality traits in soft red winter wheat (SRWW). Seven quality traits were evaluated in two locations and 2 yr for 270 elite SRWW lines. These traits include flour yield, softness equivalent, flour protein, and four solvent (lactose, sodium carbonate, sucrose, and water) retention capacity measurements. In this study, 27,449 single nucleotide polymorphism (SNP) markers were developed by using both genotyping‐by‐sequencing and 90K SNP array technologies. A linear mixed model in GWAS, accounting for population structure and kinship, was fitted to identify 18 [−log(P) ≥ 4.0] genomic regions on 12 different chromosomes associated with the quality traits. Only one of these associations seems to be a previously identified quantitative trait locus, whereas others are novel associations. The most significant associations for quality traits were identified on chromosomes 1B, 2A, 2B, 4B, 5A, 7A, and 7D. Candidate gene searches, facilitated by the wheat genome assembly, led us to the identification of putative genes related to SRWW quality traits including fasciclin‐like arabinogalactan. The results of this study can be used in developing high‐quality SRWW varieties for the eastern region of the United States.

Chromosomal microarray analysis in fetuses with aberrant right subclavian artery.

To evaluate the association between aberrant right subclavian artery (ARSA), with or without additional risk factors for aneuploidy or ultrasound abnormality, and results of chromosomal microarray analysis (CMA). This was a multicenter study of fetuses diagnosed with ARSA that underwent genetic analysis by CMA, all samples being analyzed in the same laboratory. Clinical investigation included nuchal translucency measurement, first- and second-trimester maternal serum screening, early and late second-trimester fetal anatomy scans and fetal echocardiography. Comparative genomic hybridization microarray analysis or single-nucleotide polymorphism array technology was used for CMA of DNA samples obtained from amniotic fluid. CMA results were available for 63 fetuses with ARSA. In 36 fetuses, ARSA was an isolated finding, and no pathogenic variant was found. Additional ultrasound findings and/or risk factors for aneuploidy were present in 27 fetuses, five of which had pathogenic CMA results. Of these five, trisomy 21 was detected in a fetus with echogenic intracardiac focus (EIF), 22q11 deletion was detected in a fetus with EIF and an increased risk of trisomy 21 of 1:230 from maternal serum screening, 22q11 duplication was detected in a fetus with hypoplastic right kidney and choroid plexus cyst and 22q11 deletion was detected in a fetus with right aortic arch and clubfoot. The fifth fetus had increased nuchal translucency thickness (4 mm) and a ventricular septal defect, and CMA identified both 22q11 deletion and 1q21 duplication. In fetuses with isolated ARSA, an invasive procedure for CMA is not indicated. However, CMA is recommended when additional ultrasound abnormalities or risk factors for aneuploidy are observed. The chromosomal findings in four of the five cases with an abnormal CMA result in our study would not have been detected by standard fetal chromosomal testing. Copyright © 2016 ISUOG. Published by John Wiley & Sons Ltd.

The Role of Constitutional Copy Number Variants in Breast Cancer.

Constitutional copy number variants (CNVs) include inherited and de novo deviations from a diploid state at a defined genomic region. These variants contribute significantly to genetic variation and disease in humans, including breast cancer susceptibility. Identification of genetic risk factors for breast cancer in recent years has been dominated by the use of genome-wide technologies, such as single nucleotide polymorphism (SNP)-arrays, with a significant focus on single nucleotide variants. To date, these large datasets have been underutilised for generating genome-wide CNV profiles despite offering a massive resource for assessing the contribution of these structural variants to breast cancer risk. Technical challenges remain in determining the location and distribution of CNVs across the human genome due to the accuracy of computational prediction algorithms and resolution of the array data. Moreover, better methods are required for interpreting the functional effect of newly discovered CNVs. In this review, we explore current and future application of SNP array technology to assess rare and common CNVs in association with breast cancer risk in humans.

Novel Insights into the Genetics and Pathophysiology of Adrenocortical Tumors.

Adrenocortical tumors (ACTs) are typically unilateral and can be classified as benign adrenocortical adenomas (ACAs) or malignant adrenocortical cancers (ACCs). In rare cases, tumors may occur in both adrenal glands as micronodular hyperplasia (primary pigmented nodular adrenal dysplasia) or as macronodular hyperplasia (primary bilateral macronodular adrenal hyperplasia, PBMAH). The study of certain tumor predisposition syndromes has improved our understanding of sporadic ACTs. Most ACAs are associated with abnormalities of the cAMP signaling pathway, whereas most ACCs are linked to alterations in IGF2, TP53, or the Wnt/βcatenin pathways. Over the past year, single-nucleotide polymorphism array technology and next-generation sequencing have identified novel genetic alterations in ACTs that shed new light on the molecular mechanisms of oncogenesis. Among these are somatic mutations of PKA catalytic subunit alpha gene (PRKACA) in ACA, germline, and somatic mutations of armadillo repeat containing 5 gene (ARMC5) in primary bilateral macronodular adrenal hyperplasia and somatic alterations of the E3 ubiquitin ligase gene ZNRF3 in ACC. This review focuses on the recent discoveries and their diagnostic, prognostic, and therapeutic implications.

Use of Single Nucleotide Polymorphism Array Technology to Improve the Identification of Chromosomal Lesions in Leukemia

Acute leukemias are characterized by recurring chromosomal and genetic abnormalities that disrupt normal development and drive aberrant cell proliferation and survival. Identification of these abnormalities plays important role in diagnosis, risk assessment and patient classification. Until the last decade methods to detect these aberrations have included genome wide approaches, such as conventional cytogenetics, but with a low sensitivity (5-10%), or gene candidate approaches, such as fluorescent in situ hybridization, having a greater sensitivity but being limited to only known regions of the genome. Single nucleotide polymorphism (SNP) technology is a screening method that has revolutionized our way to find genetic alterations, enabling linkage and association studies between SNP genotype and disease as well as the identification of alterations in DNA content on a whole genome scale. The adoption of this approach for the study of lymphoid and myeloid leukemias contributed to the identification of novel genetic alterations, such as losses/gains/uniparental disomy not visible by cytogenetics and implicated in pathogenesis, improving risk assessment and patient classification and in some cases working as targets for tailored therapies. In this review, we reported recent advances obtained in the knowledge of the genomic complexity of chronic myeloid leukemia and acute leukemias thanks to the use of high-throughput technologies, such as SNP array.

Cytogenetic and Molecular Abnormalities in Myelodysplastic Syndrome

Myelodysplastic syndrome (MDS) is a heterogeneous group of clonal hematological disorders characterized by ineffective hematopoiesis which causes peripheral cytopenias and a risk of progression to acute myeloid leukemia. Although various forms of chromosomal abnormalities have been detected in approximately 50-60% of patients with de novo MDS and in up to 80% of patients with therapy-related MDS, their molecular significance for pathogenesis and disease progression is not yet fully understood. Recent technical advances in molecular biology have disclosed more accurately details of pathological chromosomal and molecular aberrations in MDS. Such details could not be identified with conventional cytogenetical techniques, including G-banding. In particular, with recent technical advances in comparative genome hybridization or single nucleotide polymorphism array technology, several candidate genes for the pathogenesis of MDS have been identified, which are located in minimally deleted or uniparental disomy segments. Moreover, epigenetic deregulation of gene expression is also likely to be involved in the pathogenesis of MDS. Accordingly, in addition to classical oncogenic abnormalities, such as p53 abnormalities, or NRAS mutation, various molecular abnormalities, such as TET2, RPS14, or c-CBL, have been identified and/or proposed as the novel candidates for molecular basis of the development and progression of MDS. A better understanding of the causative molecular events underlying MDS pathogenesis is essential for the development and establishment of a more effective treatment resulting in a complete cure for MDS. We here review current knowledge regarding the molecular significance of chromosomal and genetic aberrations in MDS and the proposed molecular mechanisms of action of new agents for MDS, such as lenalidomide or azacitidine.

Maternal uniparental disomy of chromosome 4 in a patient with limb‐girdle muscular dystrophy 2E confirmed by SNP array technology

The limb-girdle muscular dystrophies (LGMDs) are a heterogenous group of diseases characterized by shoulder-girdle and pelvic muscle weakness and wasting. LGMD 2E is an autosomal recessively inherited form of the disease caused by mutations in the β-sarcoglycan (SGCB) gene located at 4q12. In this report, we describe a patient who demonstrates non-Mendelian inheritance of a homozygous missense mutation in SGCB resulting in disease expression. A combination of single-nucleotide polymorphism (SNP) array technology and microsatellite analysis revealed the occurrence of maternal uniparental disomy (UPD) for chromosome 4 in the patient. As a consequence of segmental isodisomy at 4q12, the patient inherited two identical SGCB alleles carrying a missense mutation predicted to result in abnormal protein function. SNP array technology proved to be an elegant means to determine the most probable mechanism of UPD formation in this case, and enabled us to determine the location of recombination events along chromosome 4. In our patient, UPD likely arose from a trisomy rescue event due to maternal meiotic non-disjunction that we speculate may have been caused by abnormal recombination at the pericentromeric region. Maternal UPD 4 is a rare finding, and to our knowledge this is the first reported case of UPD in association with LGMD.

A complex 6p25 rearrangement in a child with multiple epiphyseal dysplasia

Genomic rearrangements are increasingly recognized as important contributors to human disease. Here we report on an 11½-year-old child with myopia, Duane retraction syndrome, bilateral mixed hearing loss, skeletal anomalies including multiple epiphyseal dysplasia, and global developmental delay, and a complex 6p25 genomic rearrangement. We have employed oligonucleotide-based comparative genomic hybridization arrays (aCGH) of different resolutions (44 and 244K) as well as a 1 M single nucleotide polymorphism (SNP) array to analyze this complex rearrangement. Our analyses reveal a complex rearrangement involving a ∼2.21 Mb interstitial deletion, a ∼240 kb terminal deletion, and a 70-80 kb region in between these two deletions that shows maintenance of genomic copy number. The interstitial deletion contains eight known genes, including three Forkhead box containing (FOX) transcription factors (FOXQ1, FOXF2, and FOXC1). The region maintaining genomic copy number partly overlaps the dual specificity protein phosphatase 22 (DUSP22) gene. Array analyses suggest a homozygous loss of genomic material at the 5' end of DUSP22, which was corroborated using TaqMan® copy number analysis. It is possible that this homozygous genomic loss may render both copies of DUSP22 or its products non-functional. Our analysis suggests a rearrangement mechanism distinct from a previously reported replication-based error-prone mechanism without template switching for a specific 6p25 rearrangement with a 1.22 Mb interstitial deletion. Our study demonstrates the utility and limitations of using oligonucleotide-based aCGH and SNP array technologies of increasing resolutions in order to identify complex DNA rearrangements and gene disruptions.

Exploiting sequence similarity to validate the sensitivity of SNP arrays in detecting fine-scaled copy number variations

High-density single nucleotide polymorphism (SNP) genotyping arrays are efficient and cost effective platforms for the detection of copy number variation (CNV). To ensure accuracy in probe synthesis and to minimize production costs, short oligonucleotide probe sequences are used. The use of short probe sequences limits the specificity of binding targets in the human genome. The specificity of these short probeset sequences has yet to be fully analysed against a normal reference human genome. Sequence similarity can artificially elevate or suppress copy number measurements, and hence reduce the reliability of affected probe readings. For the purpose of detecting narrow CNVs reliably down to the width of a single probeset, sequence similarity is an important issue that needs to be addressed. We surveyed the Affymetrix Human Mapping SNP arrays for probeset sequence similarity against the reference human genome. Utilizing sequence similarity results, we identified a collection of fine-scaled putative CNVs between gender from autosomal probesets whose sequence matches various loci on the sex chromosomes. To detect these variations, we utilized our statistical approach, Detecting REcurrent Copy number change using rank-order Statistics (DRECS), and showed that its performance was superior and more stable than the t-test in detecting CNVs. Through the application of DRECS on the HapMap population datasets with multi-matching probesets filtered, we identified biologically relevant SNPs in aberrant regions across populations with known association to physical traits, such as height, covered by the span of a single probe. This provided empirical confirmation of the existence of naturally occurring narrow CNVs as well as the sensitivity of the Affymetrix SNP array technology in detecting them. The MATLAB implementation of DRECS is available at http://ww2.cs.mu.oz.au/ approximately gwong/DRECS/index.html.

Recurrent Novel Regions of Uniparental Disomy and Homozygous Deletions in Mycosis Fungoides Identified Using High Resolution Single Nucleotide Polymorphism Analysis.

Abstract 2644Poster Board II-620Mycosis Fungoides (MF) is the commonest form of primary cutaneous T-cell lymphoma but our understanding of the underlying molecular pathogenesis remains limited. Cytogenetic studies remain limited due to difficulties in obtaining analysable mitotic chromosomes for metaphase G-band analysis from MF patients. We have utilised high resolution 250k Affymetrix single nucleotide polymorphism (SNP) arrays to analyse tumour samples from 34 MF patients including 12 paired skin samples using and identified 156 chromosomal aberrations in ten patients (29%). Compared with previous studies using comparative genomic hybridization (CGH) in both MF and Sezary syndrome (SS), SNP array analysis detected a greater frequency of deletions and amplifications on chromosomes 1, 2, 3, 4, 5, 6, 11, and 16. Heterozygous deletions of chromosome 8 were also detected in 3 patients which have been undetected by CGH studies. A particular feature of SNP array technology is the detection of uniparental disomy (UPD) which are copy neutral regions of homozygosity. UPD (median size 32.3Mb (range: 6.6Mb – 159Mb)) was detected in 21% of our MF patients affecting either chromosome 7 (whole chromosome), 8p, 9p/9q, 10q, 12p, 14q, 16p/16q, 17q and 19q. Of note, two patients shared a common UPD region on chromosome 9p that specifically encompassed the p14 and p16 tumour suppressor genes. Thirteen regions of homozygous deletions were also observed in six patients (18%) on chromosomes 1p21.1, 7q34, 9p22.1-21.3, 10p12.1/p12.2/p14/q23.31/q23.1 and 16q23.1-q23.2. Common minimal homozygously deleted regions at 9p21-p22.3 and 16q23.1, suggest the presence of tumour suppressor gene in these regions. Interestingly, all the homozygous regions appeared within a larger region of the UPD or heterozygous deletion. Grouping patients with UPD/deletions or UPD/amplification identified eleven common minimal regions of genomic aberrations occurring in at least 3 patients; 3p24.1-14.2, 7p22.3-12.2, 7q31.1-31.2, 9p21.3-22.1, 10q21.2-26.13, 12p13.33-13.31, 13q14.2-21.1, 16p13.13, 16q23.1, 17p13.3-13.1 and 17q21.32-25.1. The detection of these recurrent abnormalities associated with UPD suggests a series of candidate genes selected for dysregulation through mutational or epigenetic modulation such as MLH, CDKN2A/B, RB1 and TP53. Paired plaque samples were also analysed from 12 patients. Of note, SNP analysis did not always show identical aberrations between these samples. Six patients had multiple aberrant regions in at least one of their samples. Of these, three patients had unique aberrations which were present in only one. This discordance in the distribution of genomic aberrations between the samples may reflect clonal evolution of the disease. To our knowledge, this is the first high resolution SNP array study in MF that has provided additional insight into the pathogenesis of MF. We have identified distinct aberrations not detected by previous studies as well as frequent and widespread UPD harbouring important oncogenes and tumour suppressor genes likely to play key roles in the dysregulation of MF cells. Disclosures:No relevant conflicts of interest to declare.

Clonal Mutations in the Cancer-Associated Fibroblasts: The Case against Genetic Coevolution

It is well established that carcinoma-associated fibroblasts (CAFs) differ phenotypically from fibroblasts associated with normal tissue, but the mechanisms underlying these differences remain controversial. Because CAFs can be propagated in vitro for extended periods and still maintain their cancer promoting phenotype, it has been proposed that they might have acquired somatic genetic alterations analogous to those observed in malignant epithelium. Whereas some investigators have reported frequent and profound genomic alterations in CAFs, other groups have found no such evidence. One striking common trait of those studies reporting frequent clonal somatic alterations in CAFs is the use of tissues and techniques which are well known to be highly prone to generating artefacts, such as limiting and poor quality DNA followed by highly multiplexed PCR-based analysis. We conclude that reported frequent clonal somatic mutations in CAFs are likely to be artefacts and are not the biological basis of the cancer promoting attributes of CAFs. [corrected]

250K Single Nucleotide Polymorphism Array Karyotyping Identifies Acquired Uniparental Disomy and Homozygous Mutations, Including Novel Missense Substitutions of c-Cbl, in Myeloid Malignancies

Two types of acquired loss of heterozygosity are possible in cancer: deletions and copy-neutral uniparental disomy (UPD). Conventionally, copy number losses are identified using metaphase cytogenetics, whereas detection of UPD is accomplished by microsatellite and copy number analysis and as such, is not often used clinically. Recently, introduction of single nucleotide polymorphism (SNP) microarrays has allowed for the systematic and sensitive detection of UPD in hematologic malignancies and other cancers. In this study, we have applied 250K SNP array technology to detect previously cryptic chromosomal changes, particularly UPD, in a cohort of 301 patients with myelodysplastic syndromes (MDS), overlap MDS/myeloproliferative disorders (MPD), MPD, and acute myeloid leukemia. We show that UPD is a common chromosomal defect in myeloid malignancies, particularly in chronic myelomonocytic leukemia (CMML; 48%) and MDS/MPD-unclassifiable (38%). Furthermore, we show that mapping minimally overlapping segmental UPD regions can help target the search for both known and unknown pathogenic mutations, including newly identified missense mutations in the proto-oncogene c-Cbl in 7 of 12 patients with UPD11q. Acquired mutations of c-Cbl E3 ubiquitin ligase may explain the pathogenesis of a clonal process in a subset of MDS/MPD, including CMML.

Analysis of Loss of Heterozygosity in Adult Patients with De Novo Acute Myeloid Leukemia and Normal Karyotype.

A large proportion of acute myeloid leukemia (AML) exhibits a normal karyotype in which the underlying pathomechanisms still have to be determined. Novel techniques like arrayCGH or single nucleotide polymorphism (SNP) chip analysis allow the identification and characterization of molecular rearrangements at the sub-megabase level. Recently, the application of genome-wide SNP array technology revealed frequent uniparental disomy (UPD) in approximately 20% of AML suggesting that UPD represents a nonrandom event in leukemogenesis. Uniparental disomy is acquired by somatic recombination and therefore not accessible by conventional cytogenetic methods or arrayCGH. In this study we analyzed DNA from AML patients with normal karyotype for the presence of LOH. SNP analysis was performed on the Mapping 100k GeneChip (Affymetrix, Santa Clara, CA). DNA was extracted from paired samples of 56 de novo AML patients with normal karyotype at diagnosis and in complete remission, respectively. Signal intensity data were analyzed by the GCOS GeneChip analysis software and statistical analysis of SNP call data was performed by the dChipSNP software. In addition, standard mutation screening of the genes encoding NPM1, FLT3, CEBPA, MLL and NRAS was performed in all cases. Using the 100k SNP array, a mean SNP call rate of 98.2% was reached, resulting in > 110,000 SNP genotype calls per sample. Signal intensity data analysis revealed submicroscopic chromosomal deletions resulting in hemizygosity in three patients. Patient 1 had a single 2 Mb deletion in chromosomal band 3p14.1, patient 2 had two small deletions affecting chromosome 12q23 and 12p13, the latter encompassing the ETV6 locus, and patient 3 had two small deletions within the long arm of chromosome 8. Besides these small chromosomal regions of copy number alterations, we found 4 large stretches of somatically acquired homozygosity without numeric alterations, affecting chromosome 6 (6p21 to 6 pter and 6q26 to 6 qter), chromosome 11 (11p12 to 11pter) and chromosome 13 (13q11 to 13qter). Noteworthy, in the case with uniparental disomy of chromosome 13, we could detect a homozygous FLT3-ITD mutation, supporting the findings that acquired isodisomy for chromosome 13 is common in AML, and associated with FLT3-ITD mutations (Griffiths et al., Leukemia, 2005). In summary, high resolution SNP assay technology in AML patients with normal karyotype allowed the identification of distinct chromosomal regions affected by UPD, supporting the postulated nonrandom mechanism of acquired mitotic recombination events in AML. Besides known chromosomal regions known to be affected by genomic aberrations in AML, we found additional submicroscopic chromosomal aberrations in cases with normal karyotype. Analysis of larger patient series will allow the identification of novel regions of interest harboring genes that might be involved in the pathogenesis of AML.