Evidence map›Paper›PMID 22198737›Full record

ArticleHuman genetics2012

Validation of prostate cancer risk-related loci identified from genome-wide association studies using family-based association analysis: evidence from the International Consortium for Prostate Cancer Genetics (ICPCG).

Guangfu Jin, Lingyi Lu, Kathleen A Cooney, Anna M Ray, Kimberly A Zuhlke, Ethan M Lange, Lisa A Cannon-Albright, Nicola J Camp, Craig C Teerlink, Liesel M Fitzgerald and 36 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Human genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01221168 (ProGene), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.2field-weighted citation impact, top 12% 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.

NCT01221168 recruitingnot on this map

ProGene: Etude Genetique et Epidemiologique du Cancer de la Prostate Familial

TypeobservationalSponsorCentre de Recherche sur les Pathologies ProstatiquesRan1996 to 2026Enrolled10,000ConditionsProstate Cancer
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Assessing the Cumulative Contribution of New and Established Common Genetic Risk Factors to Early-Onset Prostate Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. The genomic landscape of prostate cancer.International journal of molecular sciences · 2013
    Review
  14. Article
  15. Article
  16. Article
  17. 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

46 authors at 20 institutions in 8 countries.

Guangfu JinData Coordinating Center for the ICPCG and Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Lingyi Lu
Kathleen A Cooney
Anna M Ray
Kimberly A Zuhlke
Ethan M Lange
Lisa A Cannon-Albright
Nicola J Camp
Craig C Teerlink
Liesel M Fitzgerald
Janet L Stanford
Kathleen E Wiley
Sarah D Isaacs
Patrick C Walsh
William D Foulkes
Graham G Giles
John L Hopper
Gianluca Severi
Ros Eeles
Doug Easton
Zsofia Kote-Jarai
Michelle Guy
Antje Rinckleb
Christiane Maier
Walther Vogel
Geraldine Cancel-Tassin
Christophe Egrot
Olivier Cussenot
Stephen N Thibodeau
Shannon K McDonnell
Daniel J Schaid
Fredrik Wiklund
Henrik Grönberg
Monica Emanuelsson
Alice S Whittemore
Ingrid Oakley-Girvan
Chih-Lin Hsieh
Tiina Wahlfors
Teuvo Tammela
Johanna Schleutker
William J Catalona
S Lilly Zheng
Elaine A Ostrander
William B Isaacs
Jianfeng Xu
International Consortium for Prostate Cancer Genetics
Johns Hopkins University · USWake Forest University · USInstitute of Cancer Research · GBUniversität Ulm · DEFred Hutch Cancer Center · USKarolinska Institutet · SEMayo Clinic in Florida · USMichigan Medicine · USSorbonne Université · FRStanford Medicine · USTampere University · FIUniversity of Melbourne · AUUniversity of Utah · USAnn Arbor Center for Independent Living · USCancer Council Victoria · AUGeorge E. Wahlen Department of VA Medical Center · USHôpital Tenon · FRMayo Clinic · USMcGill University · CANational Institutes of Health · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
VACCINIA PSA FOR ANDROGEN-MODULATED POST-SURGICAL RECURRENCE OF PROSTATE CANCERP50CA069568 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COONEY, KATHLEEN A · 1995 to 2013
$31.3M
Prostate Cancer Susceptibility: The ICPCG StudyU01CA089600 · NCI · MAYO CLINIC ROCHESTER · PI THIBODEAU, STEPHEN NORMAN · 2002 to 2016
$27.3M
MULTIDISCIPLINARY CLINICAL AND TRANSLATIONAL SCIENCE (MCTS) PROGRAM (UL1)UL1RR025741 · NCRR · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GREENLAND, PHILIP · 2008 to 2011
$24.7M
Finding Genes for Human Prostate CancerZIAHG200325 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI OSTRANDER, ELAINE · 2009 to 2021
$17.7M
GENETIC ANALYSIS OF HEREDITARY PROSTATE CANCER FAMILIESR01CA079596 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COONEY, KATHLEEN A · 1999 to 2009
$3.0M
Confirmation of SNPs Associated with Aggressive PCa in a GWA StudyR01CA129684 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI XU, JIANFENG · 2008 to 2011
$2.4M
QTL mapping for genes regulating apoptosis capacityR01CA119069 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI XU, JIANFENG · 2006 to 2010
$1.2M
Cancer Research UK 15007Cancer Research UK A8385NCI NIH HHS CA119069NCI NIH HHS CA129684NCI NIH HHS NIH P50 CA69568NCI NIH HHS NIH R01CA79596NCI NIH HHS P30 CA015704NCI NIH HHS P30 CA042014NCI NIH HHS P50 CA069568NCI NIH HHS R01 CA079596NCI NIH HHS R01 CA119069NCI NIH HHS R01 CA129684NCI NIH HHS U01 CA089600NCI NIH HHS U01CA89600NCRR NIH HHS UL1 RR025741
6 · The paper itself

Abstract

Multiple prostate cancer (PCa) risk-related loci have been discovered by genome-wide association studies (GWAS) based on case-control designs. However, GWAS findings may be confounded by population stratification if cases and controls are inadvertently drawn from different genetic backgrounds. In addition, since these loci were identified in cases with predominantly sporadic disease, little is known about their relationships with hereditary prostate cancer (HPC). The association between seventeen reported PCa susceptibility loci was evaluated with a family-based association test using 1,979 hereditary PCa families of European descent collected by members of the International Consortium for Prostate Cancer Genetics, with a total of 5,730 affected men. The risk alleles for 8 of the 17 loci were significantly over-transmitted from parents to affected offspring, including SNPs residing in 8q24 (regions 1, 2 and 3), 10q11, 11q13, 17q12 (region 1), 17q24 and Xp11. In subgroup analyses, three loci, at 8q24 (regions 1 and 2) plus 17q12, were significantly over-transmitted in hereditary PCa families with five or more affected members, while loci at 3p12, 8q24 (region 2), 11q13, 17q12 (region 1), 17q24 and Xp11 were significantly over-transmitted in HPC families with an average age of diagnosis at 65 years or less. Our results indicate that at least a subset of PCa risk-related loci identified by case-control GWAS are also associated with disease risk in HPC families.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAllelesCase-Control StudiesGene FrequencyGenetic VariationGenome-Wide Association StudyGenotypeHumansMaleProstatic NeoplasmsRisk FactorsWhite People

Identifiers

PMID22198737
PMCPMC3535428
OpenAlexW2112262396

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.