Evidence map›Paper›PMID 25683114›Full record

ArticleGastroenterology2015

A model to determine colorectal cancer risk using common genetic susceptibility loci.

Li Hsu, Jihyoun Jeon, Hermann Brenner, Stephen B Gruber, Robert E Schoen, Sonja I Berndt, Andrew T Chan, Jenny Chang-Claude, Mengmeng Du, Jian Gong and 20 more

Abstract readMulticenter Study
In one paragraph

Article in Gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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

79 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Pooled it
  6. Pooled it
  7. Pooled it
  8. Polygenic risk scores in cancer.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
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  15. Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  16. Article
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  20. Evaluating the Potential of Polygenic Risk Score to Improve Colorectal Cancer Screening.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article

19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Li HsuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington. Electronic address: lih@fhcrc.org.
Jihyoun JeonPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; German Cancer Consortium, Heidelberg, Germany.
Stephen B GruberUniversity of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California.
Robert E SchoenDepartment of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Sonja I BerndtDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland.
Andrew T ChanDivision of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Jenny Chang-ClaudeDivision of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Mengmeng DuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Jian GongPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Tabitha A HarrisonPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Richard B HayesDivision of Epidemiology, Department of Population Health, New York University School of Medicine, New York, New York.
Michael HoffmeisterDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany.
Carolyn M HutterDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland.
Yi LinPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Reiko NishiharaDepartment of Nutrition, Harvard School of Public Health, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Shuji OginoDepartment of Pathology, Harvard Medical School, Boston, Massachusetts; Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts.
Ross L PrenticePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Fredrick R SchumacherDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
Daniela SeminaraDivision of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland.
Martha L SlatteryDepartment of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah.
Duncan C ThomasDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
Mark ThornquistPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Polly A NewcombPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
John D PotterPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington; Centre for Public Health Research, Massey University, Wellington, New Zealand.
Yingye ZhengPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Emily WhitePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Ulrike PetersPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington. Electronic address: upeters@fhcrc.org.
Colorectal Transdisciplinary (CORECT) Study
Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO)

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
Molecular pathological epidemiology of colorectal cancerU01CA137088 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2009 to 2018
$21.8M
Detection of Colorectal Cancer Susceptibility Loci Using Genome-Wide SequencingU01CA164930 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2012 to 2015
$12.4M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Genome-Wide Association Study of Nonsynonymous SNPs in Colon CancerR01CA059045 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 1994 to 2011
$11.5M
Transdisciplinary Studies of Genetic Variation in Colorectal CancerU19CA148107 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GRUBER, STEPHEN B · 2010 to 2014
$11.1M
Use of Biomarkers in Diagnosis, Prognosis, Risk Prediction and Early Detection ofP01CA053996 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PRENTICE, ROSS L · 1991 to 2015
$9.4M
DIET, ACTIVITY &REPRODUCTION--RISKS FOR RECTAL CANCERR01CA048998 · NCI · UNIVERSITY OF UTAH · PI SLATTERY, MARTHA L · 1991 to 2012
$7.9M
Cancer Prevention Trng-Nutrition, Exercise &GeneticsR25CA094880 · NCI · UNIVERSITY OF WASHINGTON · PI WHITE, EMILY · 2002 to 2016
$7.3M
Intramural NIH HHS Z01 CP010200NCI NIH HHS K05 CA152715NCI NIH HHS K05 CA154337NCI NIH HHS P01 CA053996NCI NIH HHS P01 CA 055075NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA 087969NCI NIH HHS P01 CA087969NCI NIH HHS P01 CA53996NCI NIH HHS P50 CA 127003NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA048998NCI NIH HHS R01 CA059045NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA48998NCI NIH HHS R25 CA094880NCI NIH HHS R25CA094880NCI NIH HHS U01 CA137088NCI NIH HHS U01 CA164930NCI NIH HHS U01 CA185094NCI NIH HHS U19 CA148107NCI NIH HHS UM1 CA167552NHGRI NIH HHS U01 HG 004438NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004446NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNIA NIH HHS HHSN271201100004CNIA NIH HHS R01 AG014358NIA NIH HHS R01AG14358NIEHS NIH HHS R01 ES019876NIH HHS S10 OD020069WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

BACKGROUND &

aimsRisk for colorectal cancer (CRC) can be greatly reduced through screening. To aid in the development of screening strategies, we refined models designed to determine risk of CRC by incorporating information from common genetic susceptibility loci.

methodsBy using data collected from more than 12,000 participants in 6 studies performed from 1990 through 2011 in the United States and Germany, we developed risk determination models based on sex, age, family history, genetic risk score (number of risk alleles carried at 27 validated common CRC susceptibility loci), and history of endoscopic examinations. The model was validated using data collected from approximately 1800 participants in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial, conducted from 1993 through 2001 in the United States.

resultsWe identified a CRC genetic risk score that independently predicted which patients in the training set would develop CRC. Compared with determination of risk based only on family history, adding the genetic risk score increased the discriminatory accuracy from 0.51 to 0.59 (P = .0028) for men and from 0.52 to 0.56 (P = .14) for women. We calculated age- and sex-specific 10-year CRC absolute risk estimates based on the number of risk alleles, family history, and history of endoscopic examinations. A model that included a genetic risk score better determined the recommended starting age for screening in subjects with and without family histories of CRC. The starting age for high-risk men (family history of CRC and genetic risk score, 90%) was 42 years, and for low-risk men (no family history of CRC and genetic risk score, 10%) was 52 years. For men with no family history and a high genetic risk score (90%), the starting age would be 47 years; this is an intermediate value that is 5 years earlier than it would be for men with a genetic risk score of 10%. Similar trends were observed in women.

conclusionsBy incorporating information on CRC risk alleles, we created a model to determine the risk for CRC more accurately. This model might be used to develop screening and prevention strategies.

Indexed as

Genetic LociModels, GeneticModels, StatisticalPolymorphism, Single NucleotideAge FactorsBiomarkers, TumorCase-Control StudiesColonoscopyColorectal NeoplasmsDecision Support TechniquesFemaleGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyGermanyHumansBiomarkers, TumorColorectal Cancer ScreeningGenome-Wide Association StudyRisk DeterminationRisk Stratification

Identifiers

PMID25683114
PMCPMC4446193

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