Literature DB >> 35247911

Genetic Regulation of DNA Methylation Yields Novel Discoveries in GWAS of Colorectal Cancer.

Ulrike Peters1,2, Li Hsu1,3, Richard Barfield4, Jeroen R Huyghe1, Mathieu Lemire5, Xinyuan Dong1,3, Yu-Ru Su6, Stefanie Brezina7, Daniel D Buchanan8,9,10, Jane C Figueiredo11,12, Steven Gallinger13, Marios Giannakis14,15, Andrea Gsur7, Marc J Gunter16, Heather Hampel17, Tabitha A Harrison1, John L Hopper18,19, Thomas J Hudson20, Christopher I Li1, Victor Moreno21,22,23,24, Polly A Newcomb1,25, Rish K Pai26, Paul D P Pharoah27, Amanda I Phipps1,2, Conghui Qu1, Robert S Steinfelder1, Wei Sun1,3,28, Aung Ko Win19, Syed H Zaidi20, Peter T Campbell29.   

Abstract

BACKGROUND: Colorectal cancer has a strong epigenetic component that is accompanied by frequent DNA methylation (DNAm) alterations in addition to heritable genetic risk. It is of interest to understand the interrelationship of germline genetics, DNAm, and colorectal cancer risk.
METHODS: We performed a genome-wide methylation quantitative trait locus (meQTL) analysis in 1,355 people, assessing the pairwise associations between genetic variants and lymphocytes methylation data. In addition, we used penalized regression with cis-genetic variants ± 1 Mb of methylation to identify genome-wide heritable DNAm. We evaluated the association of genetically predicted methylation with colorectal cancer risk based on genome-wide association studies (GWAS) of over 125,000 cases and controls using the multivariate sMiST as well as univariately via examination of marginal association with colorectal cancer risk.
RESULTS: Of the 142 known colorectal cancer GWAS loci, 47 were identified as meQTLs. We identified four novel colorectal cancer-associated loci (NID2, ATXN10, KLHDC10, and CEP41) that reside over 1 Mb outside of known colorectal cancer loci and 10 secondary signals within 1 Mb of known loci.
CONCLUSIONS: Leveraging information of DNAm regulation into genetic association of colorectal cancer risk reveals novel pathways in colorectal cancer tumorigenesis. Our summary statistics-based framework sMiST provides a powerful approach by combining information from the effect through methylation and residual direct effects of the meQTLs on disease risk. Further validation and functional follow-up of these novel pathways are needed. IMPACT: Using genotype, DNAm, and GWAS, we identified four new colorectal cancer risk loci. We studied the landscape of genetic regulation of DNAm via single-SNP and multi-SNP meQTL analyses. ©2022 American Association for Cancer Research.

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Year:  2022        PMID: 35247911      PMCID: PMC9081265          DOI: 10.1158/1055-9965.EPI-21-0724

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  47 in total

1.  The effect of 5-fluorouracil/leucovorin chemotherapy on CpG methylation, or the confounding role of leukocyte heterogeneity: An illustration.

Authors:  Mathieu Lemire; Syed H E Zaidi; Brent W Zanke; Steven Gallinger; Thomas J Hudson; Sean P Cleary
Journal:  Genomics       Date:  2015-09-11       Impact factor: 5.736

Review 2.  DNA methylation aberrancies delineate clinically distinct subsets of colorectal cancer and provide novel targets for epigenetic therapies.

Authors:  D J Weisenberger; G Liang; H-J Lenz
Journal:  Oncogene       Date:  2017-10-09       Impact factor: 9.867

Review 3.  Identification of Genetic Susceptibility Loci for Colorectal Tumors in a Genome-Wide Meta-analysis.

Authors:  Ulrike Peters; Shuo Jiao; Fredrick R Schumacher; Carolyn M Hutter; Aaron K Aragaki; John A Baron; Sonja I Berndt; Stéphane Bézieau; Hermann Brenner; Katja Butterbach; Bette J Caan; Peter T Campbell; Christopher S Carlson; Graham Casey; Andrew T Chan; Jenny Chang-Claude; Stephen J Chanock; Lin S Chen; Gerhard A Coetzee; Simon G Coetzee; David V Conti; Keith R Curtis; David Duggan; Todd Edwards; Charles S Fuchs; Steven Gallinger; Edward L Giovannucci; Stephanie M Gogarten; Stephen B Gruber; Robert W Haile; Tabitha A Harrison; Richard B Hayes; Brian E Henderson; Michael Hoffmeister; John L Hopper; Thomas J Hudson; David J Hunter; Rebecca D Jackson; Sun Ha Jee; Mark A Jenkins; Wei-Hua Jia; Laurence N Kolonel; Charles Kooperberg; Sébastien Küry; Andrea Z Lacroix; Cathy C Laurie; Cecelia A Laurie; Loic Le Marchand; Mathieu Lemire; David Levine; Noralane M Lindor; Yan Liu; Jing Ma; Karen W Makar; Keitaro Matsuo; Polly A Newcomb; John D Potter; Ross L Prentice; Conghui Qu; Thomas Rohan; Stephanie A Rosse; Robert E Schoen; Daniela Seminara; Martha Shrubsole; Xiao-Ou Shu; Martha L Slattery; Darin Taverna; Stephen N Thibodeau; Cornelia M Ulrich; Emily White; Yongbing Xiang; Brent W Zanke; Yi-Xin Zeng; Ben Zhang; Wei Zheng; Li Hsu
Journal:  Gastroenterology       Date:  2012-12-22       Impact factor: 22.682

4.  Genome-wide DNA methylation analysis reveals a prognostic classifier for non-metastatic colorectal cancer (ProMCol classifier).

Authors:  Melanie Gündert; Dominic Edelmann; Axel Benner; Lina Jansen; Min Jia; Viola Walter; Phillip Knebel; Esther Herpel; Jenny Chang-Claude; Michael Hoffmeister; Hermann Brenner; Barbara Burwinkel
Journal:  Gut       Date:  2017-11-03       Impact factor: 23.059

5.  An RNA interference screen for identifying downstream effectors of the p53 and pRB tumour suppressor pathways involved in senescence.

Authors:  Emilie Rovillain; Louise Mansfield; Christopher J Lord; Alan Ashworth; Parmjit S Jat
Journal:  BMC Genomics       Date:  2011-07-08       Impact factor: 3.969

6.  Enrichment of colorectal cancer associations in functional regions: Insight for using epigenomics data in the analysis of whole genome sequence-imputed GWAS data.

Authors:  Stephanie A Bien; Paul L Auer; Tabitha A Harrison; Conghui Qu; Charles M Connolly; Peyton G Greenside; Sai Chen; Sonja I Berndt; Stéphane Bézieau; Hyun M Kang; Jeroen Huyghe; Hermann Brenner; Graham Casey; Andrew T Chan; John L Hopper; Barbara L Banbury; Jenny Chang-Claude; Stephen J Chanock; Robert W Haile; Michael Hoffmeister; Christian Fuchsberger; Mark A Jenkins; Suzanne M Leal; Mathieu Lemire; Polly A Newcomb; Steven Gallinger; John D Potter; Robert E Schoen; Martha L Slattery; Joshua D Smith; Loic Le Marchand; Emily White; Brent W Zanke; Goncalo R Abeçasis; Christopher S Carlson; Ulrike Peters; Deborah A Nickerson; Anshul Kundaje; Li Hsu
Journal:  PLoS One       Date:  2017-11-21       Impact factor: 3.240

7.  Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics.

Authors:  Alvaro N Barbeira; Scott P Dickinson; Rodrigo Bonazzola; Jiamao Zheng; Heather E Wheeler; Jason M Torres; Eric S Torstenson; Kaanan P Shah; Tzintzuni Garcia; Todd L Edwards; Eli A Stahl; Laura M Huckins; Dan L Nicolae; Nancy J Cox; Hae Kyung Im
Journal:  Nat Commun       Date:  2018-05-08       Impact factor: 14.919

8.  A general framework for functionally informed set-based analysis: Application to a large-scale colorectal cancer study.

Authors:  Xinyuan Dong; Yu-Ru Su; Richard Barfield; Stephanie A Bien; Qianchuan He; Tabitha A Harrison; Jeroen R Huyghe; Temitope O Keku; Noralane M Lindor; Clemens Schafmayer; Andrew T Chan; Stephen B Gruber; Mark A Jenkins; Charles Kooperberg; Ulrike Peters; Li Hsu
Journal:  PLoS Genet       Date:  2020-08-24       Impact factor: 5.917

9.  A gene-based association method for mapping traits using reference transcriptome data.

Authors:  Eric R Gamazon; Heather E Wheeler; Kaanan P Shah; Sahar V Mozaffari; Keston Aquino-Michaels; Robert J Carroll; Anne E Eyler; Joshua C Denny; Dan L Nicolae; Nancy J Cox; Hae Kyung Im
Journal:  Nat Genet       Date:  2015-08-10       Impact factor: 38.330

10.  Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights.

Authors:  Alexander Gusev; Nicholas Mancuso; Hyejung Won; Maria Kousi; Hilary K Finucane; Yakir Reshef; Lingyun Song; Alexias Safi; Steven McCarroll; Benjamin M Neale; Roel A Ophoff; Michael C O'Donovan; Gregory E Crawford; Daniel H Geschwind; Nicholas Katsanis; Patrick F Sullivan; Bogdan Pasaniuc; Alkes L Price
Journal:  Nat Genet       Date:  2018-04-09       Impact factor: 38.330

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