Cargando…
Systematic analyses of genetic variants in chromatin interaction regions identified four novel lung cancer susceptibility loci
Genome-wide association studies (GWAS) have reported 45 single-nucleotide polymorphisms (SNPs) that may contribute to the susceptibility of lung cancer, with the majority in non-coding regions. However, no study has ever systematically evaluated the association between SNPs in physical chromatin int...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959073/ https://www.ncbi.nlm.nih.gov/pubmed/31956354 http://dx.doi.org/10.7150/jca.35127 |
_version_ | 1783487530356703232 |
---|---|
author | Ji, Pei Ding, Dongsheng Qin, Na Wang, Cheng Zhu, Meng Li, Yuancheng Dai, Juncheng Jin, Guangfu Hu, Zhibin Shen, Hongbing Chen, Liang Ma, Hongxia |
author_facet | Ji, Pei Ding, Dongsheng Qin, Na Wang, Cheng Zhu, Meng Li, Yuancheng Dai, Juncheng Jin, Guangfu Hu, Zhibin Shen, Hongbing Chen, Liang Ma, Hongxia |
author_sort | Ji, Pei |
collection | PubMed |
description | Genome-wide association studies (GWAS) have reported 45 single-nucleotide polymorphisms (SNPs) that may contribute to the susceptibility of lung cancer, with the majority in non-coding regions. However, no study has ever systematically evaluated the association between SNPs in physical chromatin interaction regions and lung cancer risk. In this study, we integrated the chromatin interaction information (Hi-C data) of lung cancer cell line and conducted a meta-analysis with two Asian GWASs (7,127 cases and 6,818 controls) to evaluate the association of potentially functional SNPs in chromatin interaction regions with lung cancer risk. We identified four novel lung cancer susceptibility loci located at 1q21.1 (rs17160062, P=4.00×10(-6)), 2p23.3 (rs670343, P=4.87×10(-7)), 2p15 (rs9309336, P=3.24×10(-6)) and 17q21.2 (rs9252, P=1.51×10(-5)) that were significantly associated with lung cancer risk after correction for multiple tests. Functional annotation result indicated that these SNPs may contribute to the development of lung cancer by affecting the availability of transcription factor binding sites. The HaploReg analysis suggested that rs9309336 may affect binding motif of transcription factor Foxp1. Expression quantitative trait loci analysis revealed that rs9309336 and rs17160062 could regulate the expressions of cancer-related genes (PUS10 and CHD1L). Our results revealed that variants in chromatin interaction regions could contribute to the development of lung cancer by regulating the expression of target genes, which providing novel implications for the understanding of functional variants in the development of lung cancer. |
format | Online Article Text |
id | pubmed-6959073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-69590732020-01-18 Systematic analyses of genetic variants in chromatin interaction regions identified four novel lung cancer susceptibility loci Ji, Pei Ding, Dongsheng Qin, Na Wang, Cheng Zhu, Meng Li, Yuancheng Dai, Juncheng Jin, Guangfu Hu, Zhibin Shen, Hongbing Chen, Liang Ma, Hongxia J Cancer Research Paper Genome-wide association studies (GWAS) have reported 45 single-nucleotide polymorphisms (SNPs) that may contribute to the susceptibility of lung cancer, with the majority in non-coding regions. However, no study has ever systematically evaluated the association between SNPs in physical chromatin interaction regions and lung cancer risk. In this study, we integrated the chromatin interaction information (Hi-C data) of lung cancer cell line and conducted a meta-analysis with two Asian GWASs (7,127 cases and 6,818 controls) to evaluate the association of potentially functional SNPs in chromatin interaction regions with lung cancer risk. We identified four novel lung cancer susceptibility loci located at 1q21.1 (rs17160062, P=4.00×10(-6)), 2p23.3 (rs670343, P=4.87×10(-7)), 2p15 (rs9309336, P=3.24×10(-6)) and 17q21.2 (rs9252, P=1.51×10(-5)) that were significantly associated with lung cancer risk after correction for multiple tests. Functional annotation result indicated that these SNPs may contribute to the development of lung cancer by affecting the availability of transcription factor binding sites. The HaploReg analysis suggested that rs9309336 may affect binding motif of transcription factor Foxp1. Expression quantitative trait loci analysis revealed that rs9309336 and rs17160062 could regulate the expressions of cancer-related genes (PUS10 and CHD1L). Our results revealed that variants in chromatin interaction regions could contribute to the development of lung cancer by regulating the expression of target genes, which providing novel implications for the understanding of functional variants in the development of lung cancer. Ivyspring International Publisher 2020-01-01 /pmc/articles/PMC6959073/ /pubmed/31956354 http://dx.doi.org/10.7150/jca.35127 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Ji, Pei Ding, Dongsheng Qin, Na Wang, Cheng Zhu, Meng Li, Yuancheng Dai, Juncheng Jin, Guangfu Hu, Zhibin Shen, Hongbing Chen, Liang Ma, Hongxia Systematic analyses of genetic variants in chromatin interaction regions identified four novel lung cancer susceptibility loci |
title | Systematic analyses of genetic variants in chromatin interaction regions identified four novel lung cancer susceptibility loci |
title_full | Systematic analyses of genetic variants in chromatin interaction regions identified four novel lung cancer susceptibility loci |
title_fullStr | Systematic analyses of genetic variants in chromatin interaction regions identified four novel lung cancer susceptibility loci |
title_full_unstemmed | Systematic analyses of genetic variants in chromatin interaction regions identified four novel lung cancer susceptibility loci |
title_short | Systematic analyses of genetic variants in chromatin interaction regions identified four novel lung cancer susceptibility loci |
title_sort | systematic analyses of genetic variants in chromatin interaction regions identified four novel lung cancer susceptibility loci |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959073/ https://www.ncbi.nlm.nih.gov/pubmed/31956354 http://dx.doi.org/10.7150/jca.35127 |
work_keys_str_mv | AT jipei systematicanalysesofgeneticvariantsinchromatininteractionregionsidentifiedfournovellungcancersusceptibilityloci AT dingdongsheng systematicanalysesofgeneticvariantsinchromatininteractionregionsidentifiedfournovellungcancersusceptibilityloci AT qinna systematicanalysesofgeneticvariantsinchromatininteractionregionsidentifiedfournovellungcancersusceptibilityloci AT wangcheng systematicanalysesofgeneticvariantsinchromatininteractionregionsidentifiedfournovellungcancersusceptibilityloci AT zhumeng systematicanalysesofgeneticvariantsinchromatininteractionregionsidentifiedfournovellungcancersusceptibilityloci AT liyuancheng systematicanalysesofgeneticvariantsinchromatininteractionregionsidentifiedfournovellungcancersusceptibilityloci AT daijuncheng systematicanalysesofgeneticvariantsinchromatininteractionregionsidentifiedfournovellungcancersusceptibilityloci AT jinguangfu systematicanalysesofgeneticvariantsinchromatininteractionregionsidentifiedfournovellungcancersusceptibilityloci AT huzhibin systematicanalysesofgeneticvariantsinchromatininteractionregionsidentifiedfournovellungcancersusceptibilityloci AT shenhongbing systematicanalysesofgeneticvariantsinchromatininteractionregionsidentifiedfournovellungcancersusceptibilityloci AT chenliang systematicanalysesofgeneticvariantsinchromatininteractionregionsidentifiedfournovellungcancersusceptibilityloci AT mahongxia systematicanalysesofgeneticvariantsinchromatininteractionregionsidentifiedfournovellungcancersusceptibilityloci |