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Exonic variants undergoing allele-specific selection in cancers

BACKGROUND: Allelic imbalance (AI) in tumors is caused by chromosomal and sub-chromosomal gains and losses. RESULTS: We evaluated AI at 109,086 germline exonic SNP loci in four cancer types, and identified a set of SNPs that demonstrate strong tumor allele specificity in AI events. Further analyses...

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Autores principales: Li, Qiyuan, Zeng, Yuanyuan, Wang, Janet, Fang, Hongkun, Guo, Jintao, Yu, Liying, Zhong, Taoling, Xu, Chaoqun, Freedman, Matthew, LaFramboise, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166126/
https://www.ncbi.nlm.nih.gov/pubmed/34059054
http://dx.doi.org/10.1186/s12920-021-00984-1
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author Li, Qiyuan
Zeng, Yuanyuan
Wang, Janet
Fang, Hongkun
Guo, Jintao
Yu, Liying
Zhong, Taoling
Xu, Chaoqun
Freedman, Matthew
LaFramboise, Thomas
author_facet Li, Qiyuan
Zeng, Yuanyuan
Wang, Janet
Fang, Hongkun
Guo, Jintao
Yu, Liying
Zhong, Taoling
Xu, Chaoqun
Freedman, Matthew
LaFramboise, Thomas
author_sort Li, Qiyuan
collection PubMed
description BACKGROUND: Allelic imbalance (AI) in tumors is caused by chromosomal and sub-chromosomal gains and losses. RESULTS: We evaluated AI at 109,086 germline exonic SNP loci in four cancer types, and identified a set of SNPs that demonstrate strong tumor allele specificity in AI events. Further analyses demonstrated that these alleles show consistently different frequencies in the cancer population compared to the healthy population and are significantly enriched for predicted protein-damaging variants. Moreover, genes harboring SNPs that demonstrate allele specificity are enriched for cancer-related biological processes and are more likely to be essential in cancer cells. CONCLUSIONS: In summary, our study provides a unique and complementary method to identify genes and variants that are relevant to carcinogenesis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-021-00984-1.
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spelling pubmed-81661262021-06-02 Exonic variants undergoing allele-specific selection in cancers Li, Qiyuan Zeng, Yuanyuan Wang, Janet Fang, Hongkun Guo, Jintao Yu, Liying Zhong, Taoling Xu, Chaoqun Freedman, Matthew LaFramboise, Thomas BMC Med Genomics Research Article BACKGROUND: Allelic imbalance (AI) in tumors is caused by chromosomal and sub-chromosomal gains and losses. RESULTS: We evaluated AI at 109,086 germline exonic SNP loci in four cancer types, and identified a set of SNPs that demonstrate strong tumor allele specificity in AI events. Further analyses demonstrated that these alleles show consistently different frequencies in the cancer population compared to the healthy population and are significantly enriched for predicted protein-damaging variants. Moreover, genes harboring SNPs that demonstrate allele specificity are enriched for cancer-related biological processes and are more likely to be essential in cancer cells. CONCLUSIONS: In summary, our study provides a unique and complementary method to identify genes and variants that are relevant to carcinogenesis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-021-00984-1. BioMed Central 2021-05-31 /pmc/articles/PMC8166126/ /pubmed/34059054 http://dx.doi.org/10.1186/s12920-021-00984-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Li, Qiyuan
Zeng, Yuanyuan
Wang, Janet
Fang, Hongkun
Guo, Jintao
Yu, Liying
Zhong, Taoling
Xu, Chaoqun
Freedman, Matthew
LaFramboise, Thomas
Exonic variants undergoing allele-specific selection in cancers
title Exonic variants undergoing allele-specific selection in cancers
title_full Exonic variants undergoing allele-specific selection in cancers
title_fullStr Exonic variants undergoing allele-specific selection in cancers
title_full_unstemmed Exonic variants undergoing allele-specific selection in cancers
title_short Exonic variants undergoing allele-specific selection in cancers
title_sort exonic variants undergoing allele-specific selection in cancers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166126/
https://www.ncbi.nlm.nih.gov/pubmed/34059054
http://dx.doi.org/10.1186/s12920-021-00984-1
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