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Copy Number Variation Pattern for Discriminating MACROD2 States of Colorectal Cancer Subtypes
Copy number variation (CNV) is a common structural variation pattern of DNA, and it features a higher mutation rate than single-nucleotide polymorphisms (SNPs) and affects a larger fragment of genomes. CNV is related with the genesis of complex diseases and can thus be used as a strategy to identify...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930883/ https://www.ncbi.nlm.nih.gov/pubmed/31921812 http://dx.doi.org/10.3389/fbioe.2019.00407 |
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author | Zhang, ShiQi Pan, XiaoYong Zeng, Tao Guo, Wei Gan, Zijun Zhang, Yu-Hang Chen, Lei Zhang, YunHua Huang, Tao Cai, Yu-Dong |
author_facet | Zhang, ShiQi Pan, XiaoYong Zeng, Tao Guo, Wei Gan, Zijun Zhang, Yu-Hang Chen, Lei Zhang, YunHua Huang, Tao Cai, Yu-Dong |
author_sort | Zhang, ShiQi |
collection | PubMed |
description | Copy number variation (CNV) is a common structural variation pattern of DNA, and it features a higher mutation rate than single-nucleotide polymorphisms (SNPs) and affects a larger fragment of genomes. CNV is related with the genesis of complex diseases and can thus be used as a strategy to identify novel cancer-predisposing markers or mechanisms. In particular, the frequent deletions of mono-ADP-ribosylhydrolase 2 (MACROD2) locus in human colorectal cancer (CRC) alters DNA repair and the sensitivity to DNA damage and results in chromosomal instability. The relationship between CNV and cancer has not been explained. In this study, on the basis of the genome variation profiling by the SNP array from 651 CRC primary tumors, we computationally analyzed the CNV data to select crucial SNP sites with the most relevance to three different states of MACROD2 (heterozygous deletion, homozygous deletion, and normal state), suggesting that these CNVs may play functional roles in CRC tumorigenesis. Our study can shed new insights into the genesis of cancer based on CNV, providing reference for clinical diagnosis, and treatment prognosis of CRC. |
format | Online Article Text |
id | pubmed-6930883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69308832020-01-09 Copy Number Variation Pattern for Discriminating MACROD2 States of Colorectal Cancer Subtypes Zhang, ShiQi Pan, XiaoYong Zeng, Tao Guo, Wei Gan, Zijun Zhang, Yu-Hang Chen, Lei Zhang, YunHua Huang, Tao Cai, Yu-Dong Front Bioeng Biotechnol Bioengineering and Biotechnology Copy number variation (CNV) is a common structural variation pattern of DNA, and it features a higher mutation rate than single-nucleotide polymorphisms (SNPs) and affects a larger fragment of genomes. CNV is related with the genesis of complex diseases and can thus be used as a strategy to identify novel cancer-predisposing markers or mechanisms. In particular, the frequent deletions of mono-ADP-ribosylhydrolase 2 (MACROD2) locus in human colorectal cancer (CRC) alters DNA repair and the sensitivity to DNA damage and results in chromosomal instability. The relationship between CNV and cancer has not been explained. In this study, on the basis of the genome variation profiling by the SNP array from 651 CRC primary tumors, we computationally analyzed the CNV data to select crucial SNP sites with the most relevance to three different states of MACROD2 (heterozygous deletion, homozygous deletion, and normal state), suggesting that these CNVs may play functional roles in CRC tumorigenesis. Our study can shed new insights into the genesis of cancer based on CNV, providing reference for clinical diagnosis, and treatment prognosis of CRC. Frontiers Media S.A. 2019-12-19 /pmc/articles/PMC6930883/ /pubmed/31921812 http://dx.doi.org/10.3389/fbioe.2019.00407 Text en Copyright © 2019 Zhang, Pan, Zeng, Guo, Gan, Zhang, Chen, Zhang, Huang and Cai. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Zhang, ShiQi Pan, XiaoYong Zeng, Tao Guo, Wei Gan, Zijun Zhang, Yu-Hang Chen, Lei Zhang, YunHua Huang, Tao Cai, Yu-Dong Copy Number Variation Pattern for Discriminating MACROD2 States of Colorectal Cancer Subtypes |
title | Copy Number Variation Pattern for Discriminating MACROD2 States of Colorectal Cancer Subtypes |
title_full | Copy Number Variation Pattern for Discriminating MACROD2 States of Colorectal Cancer Subtypes |
title_fullStr | Copy Number Variation Pattern for Discriminating MACROD2 States of Colorectal Cancer Subtypes |
title_full_unstemmed | Copy Number Variation Pattern for Discriminating MACROD2 States of Colorectal Cancer Subtypes |
title_short | Copy Number Variation Pattern for Discriminating MACROD2 States of Colorectal Cancer Subtypes |
title_sort | copy number variation pattern for discriminating macrod2 states of colorectal cancer subtypes |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930883/ https://www.ncbi.nlm.nih.gov/pubmed/31921812 http://dx.doi.org/10.3389/fbioe.2019.00407 |
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