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In silico pathway analysis and tissue specific cis-eQTL for colorectal cancer GWAS risk variants
BACKGROUND: Genome-wide association studies have identified 55 genetic variants associated with colorectal cancer risk to date. However, potential causal genes and pathways regulated by these risk variants remain to be characterized. Therefore, we performed gene ontology enrichment and pathway analy...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432975/ https://www.ncbi.nlm.nih.gov/pubmed/28506205 http://dx.doi.org/10.1186/s12864-017-3750-2 |
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author | Loo, Lenora W. M. Lemire, Mathieu Le Marchand, Loïc |
author_facet | Loo, Lenora W. M. Lemire, Mathieu Le Marchand, Loïc |
author_sort | Loo, Lenora W. M. |
collection | PubMed |
description | BACKGROUND: Genome-wide association studies have identified 55 genetic variants associated with colorectal cancer risk to date. However, potential causal genes and pathways regulated by these risk variants remain to be characterized. Therefore, we performed gene ontology enrichment and pathway analyses to determine if there was an enrichment of genes in proximity to the colorectal cancer risk variants that could further elucidate the probable causal genes and pathways involved in colorectal cancer biology. RESULTS: For the 65 unique genes that either contained, or were immediately neighboring up- and downstream, of these variants there was a significant enrichment for the KEGG pathway, Pathways in Cancer (p-value = 2.67 × 10(−5)) and an enrichment for multiple biological processes (FDR < 0.05), such as cell junction organization, tissue morphogenesis, regulation of SMAD protein phosphorylation, and odontogenesis identified through Gene Ontology analysis. To identify potential causal genes, we conducted a cis-expression quantitative trait loci (cis-eQTL) analysis using gene expression and genotype data from the Genotype-Tissue Expression (GTEx) Project portal in normal sigmoid (n = 124) and transverse (n = 169) colon tissue. In addition, we also did a cis-eQTL analysis on colorectal tumor tissue (n = 147) from The Cancer Genome Atlas (TCGA). We identified two risk alleles that were significant cis-eQTLs for FADS2 (rs1535) and COLCA1 and 2 (rs3802842) genes in the normal transverse colon tissue and two risk alleles that were significant cis-eQTLs for the CABLES2 (rs2427308) and LIPG (rs7229639) genes in the normal sigmoid colon tissue, but not tumor tissue. CONCLUSIONS: Our data reaffirm the potential to identify an enrichment for biological processes and candidate causal genes based on expression profiles correlated with genetic risk alleles of colorectal cancer, however, the identification of these significant cis-eQTLs is context and tissue specific. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3750-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5432975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54329752017-05-17 In silico pathway analysis and tissue specific cis-eQTL for colorectal cancer GWAS risk variants Loo, Lenora W. M. Lemire, Mathieu Le Marchand, Loïc BMC Genomics Research Article BACKGROUND: Genome-wide association studies have identified 55 genetic variants associated with colorectal cancer risk to date. However, potential causal genes and pathways regulated by these risk variants remain to be characterized. Therefore, we performed gene ontology enrichment and pathway analyses to determine if there was an enrichment of genes in proximity to the colorectal cancer risk variants that could further elucidate the probable causal genes and pathways involved in colorectal cancer biology. RESULTS: For the 65 unique genes that either contained, or were immediately neighboring up- and downstream, of these variants there was a significant enrichment for the KEGG pathway, Pathways in Cancer (p-value = 2.67 × 10(−5)) and an enrichment for multiple biological processes (FDR < 0.05), such as cell junction organization, tissue morphogenesis, regulation of SMAD protein phosphorylation, and odontogenesis identified through Gene Ontology analysis. To identify potential causal genes, we conducted a cis-expression quantitative trait loci (cis-eQTL) analysis using gene expression and genotype data from the Genotype-Tissue Expression (GTEx) Project portal in normal sigmoid (n = 124) and transverse (n = 169) colon tissue. In addition, we also did a cis-eQTL analysis on colorectal tumor tissue (n = 147) from The Cancer Genome Atlas (TCGA). We identified two risk alleles that were significant cis-eQTLs for FADS2 (rs1535) and COLCA1 and 2 (rs3802842) genes in the normal transverse colon tissue and two risk alleles that were significant cis-eQTLs for the CABLES2 (rs2427308) and LIPG (rs7229639) genes in the normal sigmoid colon tissue, but not tumor tissue. CONCLUSIONS: Our data reaffirm the potential to identify an enrichment for biological processes and candidate causal genes based on expression profiles correlated with genetic risk alleles of colorectal cancer, however, the identification of these significant cis-eQTLs is context and tissue specific. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3750-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-15 /pmc/articles/PMC5432975/ /pubmed/28506205 http://dx.doi.org/10.1186/s12864-017-3750-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Loo, Lenora W. M. Lemire, Mathieu Le Marchand, Loïc In silico pathway analysis and tissue specific cis-eQTL for colorectal cancer GWAS risk variants |
title | In silico pathway analysis and tissue specific cis-eQTL for colorectal cancer GWAS risk variants |
title_full | In silico pathway analysis and tissue specific cis-eQTL for colorectal cancer GWAS risk variants |
title_fullStr | In silico pathway analysis and tissue specific cis-eQTL for colorectal cancer GWAS risk variants |
title_full_unstemmed | In silico pathway analysis and tissue specific cis-eQTL for colorectal cancer GWAS risk variants |
title_short | In silico pathway analysis and tissue specific cis-eQTL for colorectal cancer GWAS risk variants |
title_sort | in silico pathway analysis and tissue specific cis-eqtl for colorectal cancer gwas risk variants |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432975/ https://www.ncbi.nlm.nih.gov/pubmed/28506205 http://dx.doi.org/10.1186/s12864-017-3750-2 |
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