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Two novel type 2 diabetes loci revealed through integration of TCF7L2 DNA occupancy and SNP association data
BACKGROUND: The transcription factor 7-like 2 (TCF7L2) locus is strongly implicated in the pathogenesis of type 2 diabetes (T2D). We previously mapped the genomic regions bound by TCF7L2 using ChIP (chromatin immunoprecipitation)-seq in the colorectal carcinoma cell line, HCT116, revealing an unexpe...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4250976/ https://www.ncbi.nlm.nih.gov/pubmed/25469308 http://dx.doi.org/10.1136/bmjdrc-2014-000052 |
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author | Johnson, Matthew E Zhao, Jianhua Schug, Jonathan Deliard, Sandra Xia, Qianghua Guy, Vanessa C Sainz, Jesus Kaestner, Klaus H Wells, Andrew D Grant, Struan F A |
author_facet | Johnson, Matthew E Zhao, Jianhua Schug, Jonathan Deliard, Sandra Xia, Qianghua Guy, Vanessa C Sainz, Jesus Kaestner, Klaus H Wells, Andrew D Grant, Struan F A |
author_sort | Johnson, Matthew E |
collection | PubMed |
description | BACKGROUND: The transcription factor 7-like 2 (TCF7L2) locus is strongly implicated in the pathogenesis of type 2 diabetes (T2D). We previously mapped the genomic regions bound by TCF7L2 using ChIP (chromatin immunoprecipitation)-seq in the colorectal carcinoma cell line, HCT116, revealing an unexpected highly significant over-representation of genome-wide association studies (GWAS) loci associated primarily with endocrine (in particular T2D) and cardiovascular traits. METHODS: In order to further explore if this observed phenomenon occurs in other cell lines, we carried out ChIP-seq in HepG2 cells and leveraged ENCODE data for five additional cell lines. Given that only a minority of the predicted genetic component to most complex traits has been identified to date, plus our GWAS-related observations with respect to TCF7L2 occupancy, we investigated if restricting association analyses to the genes yielded from this approach, in order to reduce the constraints of multiple testing, could reveal novel T2D loci. RESULTS: We found strong evidence for the continued enrichment of endocrine and cardiovascular GWAS categories, with additional support for cancer. When investigating all the known GWAS loci bound by TCF7L2 in the shortest gene list, derived from HCT116, the coronary artery disease-associated variant, rs46522 at the UBE2Z-GIP-ATP5G1-SNF8 locus, yielded significant association with T2D within DIAGRAM. Furthermore, when we analyzed tag-SNPs (single nucleotide polymorphisms) in genes not previously implicated by GWAS but bound by TCF7L2 within 5 kb, we observed a significant association of rs4780476 within CPPED1 in DIAGRAM. CONCLUSIONS: ChIP-seq data generated with this GWAS-implicated transcription factor provided a biologically plausible method to limit multiple testing in the assessment of genome-wide genotyping data to uncover two novel T2D-associated loci. |
format | Online Article Text |
id | pubmed-4250976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-42509762014-12-02 Two novel type 2 diabetes loci revealed through integration of TCF7L2 DNA occupancy and SNP association data Johnson, Matthew E Zhao, Jianhua Schug, Jonathan Deliard, Sandra Xia, Qianghua Guy, Vanessa C Sainz, Jesus Kaestner, Klaus H Wells, Andrew D Grant, Struan F A BMJ Open Diabetes Res Care Genetics/Genomes/Proteomics/Metabolomics BACKGROUND: The transcription factor 7-like 2 (TCF7L2) locus is strongly implicated in the pathogenesis of type 2 diabetes (T2D). We previously mapped the genomic regions bound by TCF7L2 using ChIP (chromatin immunoprecipitation)-seq in the colorectal carcinoma cell line, HCT116, revealing an unexpected highly significant over-representation of genome-wide association studies (GWAS) loci associated primarily with endocrine (in particular T2D) and cardiovascular traits. METHODS: In order to further explore if this observed phenomenon occurs in other cell lines, we carried out ChIP-seq in HepG2 cells and leveraged ENCODE data for five additional cell lines. Given that only a minority of the predicted genetic component to most complex traits has been identified to date, plus our GWAS-related observations with respect to TCF7L2 occupancy, we investigated if restricting association analyses to the genes yielded from this approach, in order to reduce the constraints of multiple testing, could reveal novel T2D loci. RESULTS: We found strong evidence for the continued enrichment of endocrine and cardiovascular GWAS categories, with additional support for cancer. When investigating all the known GWAS loci bound by TCF7L2 in the shortest gene list, derived from HCT116, the coronary artery disease-associated variant, rs46522 at the UBE2Z-GIP-ATP5G1-SNF8 locus, yielded significant association with T2D within DIAGRAM. Furthermore, when we analyzed tag-SNPs (single nucleotide polymorphisms) in genes not previously implicated by GWAS but bound by TCF7L2 within 5 kb, we observed a significant association of rs4780476 within CPPED1 in DIAGRAM. CONCLUSIONS: ChIP-seq data generated with this GWAS-implicated transcription factor provided a biologically plausible method to limit multiple testing in the assessment of genome-wide genotyping data to uncover two novel T2D-associated loci. BMJ Publishing Group 2014-12-01 /pmc/articles/PMC4250976/ /pubmed/25469308 http://dx.doi.org/10.1136/bmjdrc-2014-000052 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Genetics/Genomes/Proteomics/Metabolomics Johnson, Matthew E Zhao, Jianhua Schug, Jonathan Deliard, Sandra Xia, Qianghua Guy, Vanessa C Sainz, Jesus Kaestner, Klaus H Wells, Andrew D Grant, Struan F A Two novel type 2 diabetes loci revealed through integration of TCF7L2 DNA occupancy and SNP association data |
title | Two novel type 2 diabetes loci revealed through integration of TCF7L2 DNA occupancy and SNP association data |
title_full | Two novel type 2 diabetes loci revealed through integration of TCF7L2 DNA occupancy and SNP association data |
title_fullStr | Two novel type 2 diabetes loci revealed through integration of TCF7L2 DNA occupancy and SNP association data |
title_full_unstemmed | Two novel type 2 diabetes loci revealed through integration of TCF7L2 DNA occupancy and SNP association data |
title_short | Two novel type 2 diabetes loci revealed through integration of TCF7L2 DNA occupancy and SNP association data |
title_sort | two novel type 2 diabetes loci revealed through integration of tcf7l2 dna occupancy and snp association data |
topic | Genetics/Genomes/Proteomics/Metabolomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4250976/ https://www.ncbi.nlm.nih.gov/pubmed/25469308 http://dx.doi.org/10.1136/bmjdrc-2014-000052 |
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