Evidence map›Paper›PMID 35247911›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2022

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

Richard Barfield, Jeroen R Huyghe, Mathieu Lemire, Xinyuan Dong, Yu-Ru Su, Stefanie Brezina, Daniel D Buchanan, Jane C Figueiredo, Steven Gallinger, Marios Giannakis and 20 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors at 19 institutions in 8 countries.

Richard BarfieldDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina.ORCID 0000-0002-6276-7704
Jeroen R HuyghePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0001-6027-9806
Mathieu LemireNeurosciences and Mental Health Program, Hospital for Sick Children, Toronto, Ontario, Canada.
Xinyuan DongPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Yu-Ru SuBiostatistics Unit, Kaiser Permanente Washington Health Research Institute, Seattle, Washington.
Stefanie BrezinaInstitute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria.ORCID 0000-0001-5238-6900
Daniel D BuchananColorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0003-2225-6675
Jane C FigueiredoDepartment of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California.ORCID 0000-0001-8040-3341
Steven GallingerLunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.
Marios GiannakisDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Andrea GsurInstitute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria.ORCID 0000-0002-9795-1528
Marc J GunterInternational Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, Lyon, France.ORCID 0000-0001-5472-6761
Heather HampelDivision of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.ORCID 0000-0001-7558-9794
Tabitha A HarrisonPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0002-4173-7530
John L HopperCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Thomas J HudsonOntario Institute for Cancer Research, Toronto, Ontario, Canada.ORCID 0000-0002-1376-4849
Christopher I LiPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Victor MorenoOncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.ORCID 0000-0002-2818-5487
Polly A NewcombPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Rish K PaiDepartment of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona.ORCID 0000-0002-2692-221X
Paul D P PharoahDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0001-8494-732X
Amanda I PhippsPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Conghui QuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Robert S SteinfelderPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Wei SunPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0002-6350-1107
Aung Ko WinDepartment of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea.ORCID 0000-0002-2794-5261
Syed H ZaidiOntario Institute for Cancer Research, Toronto, Ontario, Canada.
Peter T CampbellDepartment of Population Science, American Cancer Society, Atlanta, Georgia.ORCID 0000-0002-5549-2036
Ulrike Peters *Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0001-5666-9318
Li Hsu *Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.ORCID 0000-0001-8168-4712
Fred Hutch Cancer Center · USUniversity of Washington · USComprehensive Cancer Center Vienna · ATOntario Institute for Cancer Research · CASeoul National University · KRAmerican Cancer Society · USBellvitge University Hospital · ESBroad Institute · USCentre international de recherche sur le cancer · FRDuke University · USHospital for Sick Children · CAKaiser Permanente Washington Health Research Institute · USLunenfeld-Tanenbaum Research Institute · CAMayo Clinic in Arizona · USThe Ohio State University · USThe Royal Melbourne Hospital · AUUniversity of Cambridge · GBUniversity of North Carolina at Chapel Hill · USUniversity of Southern California · US

Funding

Molecular pathological epidemiology of colorectal cancerU01CA137088 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2009 to 2018
$21.8M
Data sharing: the Colon Cancer Family Registry CohortU01CA167551 · NCI · UNIVERSITY OF MELBOURNE · PI Daniel David BUCHANAN, Steven Gallinger · 2018 to 2026
$16.8M
Detection of Colorectal Cancer Susceptibility Loci Using Genome-Wide SequencingU01CA164930 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2012 to 2015
$12.4M
Genome-Wide Association Study of Nonsynonymous SNPs in Colon CancerR01CA059045 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 1994 to 2011
$11.5M
Using Functional Genomics to Inform Gene Environment Interactions for Colorectal CancerR01CA201407 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GAUDERMAN, WILLIAM JAMES, LE MARCHAND, LOIC · 2016 to 2020
$9.6M
PCPT and SELECT Cohorts: Core Infrastructure Support for Cancer ResearchU01CA182883 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TANGEN, CATHERINE M., THOMPSON, IAN M. · 2019 to 2023
$5.4M
Statistical Methods for Analysis of Tumor Heterogeneity in Genetic EpidemiologyR01CA189532 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HSU, LI · 2015 to 2023
$4.2M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
Statistical Methods for Genetic Epidemiology StudiesR01CA195789 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HSU, LI · 2016 to 2019
$1.6M
NCI NIH HHS R01 CA059045NCI NIH HHS R01 CA189532NCI NIH HHS R01 CA195789NCI NIH HHS R01 CA201407NCI NIH HHS U01 CA137088NCI NIH HHS U01 CA164930NCI NIH HHS U01 CA182883NIH HHS S10 OD028685World Health Organization 001
6 · The paper itself

Abstract

backgroundColorectal 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.

methodsWe 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.

resultsOf 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.

conclusionsLeveraging 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.

Indexed as

Colorectal NeoplasmsDNA MethylationEpigenomicsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideProteinsQuantitative Trait LociCEP41 protein, humanProteins

Identifiers

PMID35247911
PMCPMC9081265
OpenAlexW4221049586

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.