Exome sequencing data analysis to characterize copy number variants involved in m.14487T>C mutation
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ABSTRACT:
PROVIDER: PRJNA544625 | ENA |
REPOSITORIES: ENA
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Project description:Colorectal cancer (CRC) represents the third most common cancer worldwide. Next generation sequencing (NGS) appearance has allowed us to produce huge amount of data and, in order to fully exploit its usage, copy number variants (CVN) detection software have been developed. In this study, we analyze germline DNA whole-exome sequencing (WES) data from 38 families with strong CRC aggregation without alterations in known hereditary genes to detect rare candidate CNVs to CRC predisposition using ExomeDepth and CoNIFER tools. Variants shared between family members were compared to Database of Genomic Variants (DGV) catalogue and our Spanish database. CNVs finally selected were validated and segregation analysis were performed using Comparative Genome Hybridization (CGH). Gene expression arrays and qRT-PCR were conducted in both germline and tumor cDNA to check possible effects at transcription level. Immunohistochemistry (IHC) studies were also carried out. Whith this, 21 candidate CNV corresponding to 16 duplications and 5 deletions were detected by calling tools. After multiple filtering steps, only the duplication in chromosome 1 in family 7 stood out as interesting. Validation by CGH confirmed the duplication and correct family segregation. TTF2, TRIM45, VTCN1 and miR942 are embedded in chromosome 1 duplication. Expression studies pointed to TTF2 and miR942 overexpression in carriers, and tumor IHC showed TTF2 protein overexpression and underexpression of the TMEM158 protein. Also known as RIS1, TMEM158 is a predicted target of miR942 and has been claimed to be a candidate tumor-supressor. All in all, chromosome 1 duplication may correspond to the mutational event involved in CRC predisposition in the carrier family by overexpressing TTF2 and miR942, leading to TMEM158 underexpression. Keywords: colorectal cancer, next generation sequencing, copy number variant, duplication, predisposition.
2019-03-01 | GSE96597 | GEO
Project description:In this study, we analyze DNA whole-exome sequencing (WES) data from 3 patients with m.14487T>C mutation to detect rare candidate SNVs.
2020-05-19 | GSE131740 | GEO
Project description:Identification of Copy Number Variants in Dogs
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Project description:Anal squamous cell carcinoma (ASCC) is an infrequent tumor. Since 70s, treatment of stages II-III consists on a combination of 5-fluorouracil (5FU), mitomycin C (MMC), and radiotherapy. The aim of this study is the identification of biomarkers that allow personalized treatment and improvement of therapeutic outcomes. Forty-six tumor paraffin samples from ASCC patients were analyzed by whole-exome sequencing. Single nucleotide polymorphisms and copy number variants (CNVs) were identified and their relation to disease-free survival (DFS) was studied using BRB Array Tool and Kaplan-Meier analyses. Obtained findings were validated in an independent retrospective cohort of 101 ASCC patients with stages I-III from eleven hospitals within the Multidisciplinary Spanish Digestive Cancer Group (GEMCAD) using qPCR Copy Number Assays. GEMCAD validation cohort was also analyzed using mass spectrometry proteomics to assess the biological features of these tumors.
2023-04-26 | PXD037816 | Pride
Project description:Discovery of common Asian copy number variants using a novel integrated high-resolution array CGH and massively parallel DNA sequencing. We attempted to discover common Asian copy number variants (CNVs) from the DNA of 30 Asian women (10 Korean, 10 CHB (HapMap), 10 JPT (HapMap)) using a custom-designed 24M-oligonucleotide Agilent platform (1.1M X 24 slides). The reference sample for aCGH was NA10851 (HapMap CEPH). In addition to the 30 women, 3 more individuals were analyzed as controls (AK1 (Kim, J.I. et al., 2009 Nature), NA12878 and NA19240).
2010-01-13 | GSE19651 | GEO
Project description: Not available
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Project description:Comparison of whole genome exome array CGH to a commercial SNP array for detection of de novo and homozygous copy number variants in 99 autism simplex trios. Will update once manuscript is prepared.
2011-04-30 | GSE23765 | GEO
Project description:Copy number (SNP) analysis from leukemic patients with complex structural variants
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Project description:Gene copy-number variation, which provides the raw material for the evolution of novel genes, is surprisingly widespread in natural populations. Experimental evolution studies have demonstrated an extremely high spontaneous rate of origin of gene duplications. When organisms are suboptimally adapted to their environment, gene duplication may compensate for reduced fitness by amplifying promiscuous activity of a gene, or increasing dosage of a suboptimal gene. The overarching goal of this study is to inverstigate whether CNVs constitute a common mechanism of adaptive genetic change during compensatory evolution and to further characterize the role of natural selection in dictating their evolutionary spread at a population-genomic level. Outcrossing populations of C. elegans with low fitness were evolved for >200 generations and the frequencies of CNVs in these populations were analyzed by oligonucleotide array comparative genome hybridization, quantitative PCR, and single-worm PCR. Multiple duplications and deletions were detected in intermediate to high frequencies and several lines of evidence suggest that the changes in frequency were adaptive. 1) Many copy-number changes reached high frequency, were near fixation, or were fixed in a short time. 2) Many independent duplications and deletions in high frequency harbor overlapping regions which likely include genes that are under selection for either higher or lower rates of expression. 3) The size spectrum of deuplications and deletions in the adaptive recovery populations is significantly larger than that of spontaneous copy-number variants in mutation accumulation experiments. This is expected if larger CNVs are more likely to encompass genes that are being selected for altered gene dosage. Out results validate the great potential borne by gene copy-number changes for compensatory evolution and adaptation. Experimental genome evolution of copy-number variants in 25 experimental lines compared to 5 ancestral control lines.
2015-04-15 | E-GEOD-67871 | biostudies-arrayexpress
Project description:Ongoing studies using genomic microarrays and next-generation sequencing have demonstrated that the genetic contributions to cardiovascular diseases have been significantly ignored in the past. The aim of this study was to identify rare copy number variants in individuals with congenital pulmonary atresia (PA). Based on the hypothesis that rare structural variants encompassing key genes play an important role in heart development in PA patients, we performed high-resolution genome-wide microarrays for copy number variations (CNVs) in 82 PA patient-parent trios and 189 controls with an Illumina SNP array platform. CNVs were identified in 17/82 patients (20.7%), and eight of these CNVs (9.8%) are considered potentially pathogenic. Five de novo CNVs occurred at two known congenital heart disease (CHD) loci (16p13.1 and 22q11.2). Two de novo CNVs that may affect folate and vitamin B12 metabolism were identified for the first time. A de novo 1-Mb deletion at 17p13.2 may represent a rare genomic disorder that involves mild intellectual disability and associated facial features.
2014-04-02 | GSE56422 | GEO