Exome sequencing data analysis to characterize copy number variants involved in m.14487T>C mutation
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA544625 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR9118030_1.fastq.gz | Fastqsanger.gz | |||
| SRR9118030_2.fastq.gz | Fastqsanger.gz | |||
| SRR9118031_1.fastq.gz | Fastqsanger.gz | |||
| SRR9118031_2.fastq.gz | Fastqsanger.gz | |||
| SRR9118032_1.fastq.gz | Fastqsanger.gz |
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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.
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Project description:Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. Current methods for detection of copy number aberrations (CNA) from whole-exome sequencing (WES) data are based on the read counts of the captured exons only. However, accurate CNA determination is complicated by the non-uniform read depth and uneven distribution of exons. Therefore, we developed ENCODER (ENhanced COpy number Detection from Exome Reads), which eludes these problems. By exploiting the ‘off-target’ sequence reads, it allows for creation of robust copy number profiles from WES. The accuracy of ENCODER compares to approaches specifically designed for copy number detection, and outperforms current exon-based WES methods, particularly in samples of low quality. DNA copy number profiles generated with a new tool, ENCODER, were compared to DNA copy number profiles from SNP6, NimbleGen and low-coverage Whole Genome Sequencing.
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