Evidence map›Paper›PMID 31101764›Full record

ArticleCancer research2019

Identification of Novel Susceptibility Loci and Genes for Prostate Cancer Risk: A Transcriptome-Wide Association Study in Over 140,000 European Descendants.

Lang Wu, Jifeng Wang, Qiuyin Cai, Taylor B Cavazos, Nima C Emami, Jirong Long, Xiao-Ou Shu, Yingchang Lu, Xingyi Guo, Joshua A Bauer and 9 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Cancer research, 2019. 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 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Large-scale Integrated Analysis of Genetics and Metabolomic Data Reveals Potential Links Between Lipids and Colorectal Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Pooled it
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  13. Advances in Prostate Cancer Biomarkers and Probes.Cyborg and bionic systems (Washington, D.C.) · 2024
    Review
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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

19 authors at 11 institutions in 3 countries.

Lang Wu *Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Jifeng Wang *Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Taylor B CavazosProgram in Biological and Medical Informatics, University of California, San Francisco, San Francisco, California.ORCID 0000-0003-3537-2608
Nima C EmamiProgram in Biological and Medical Informatics, University of California, San Francisco, San Francisco, California.ORCID 0000-0002-4296-7805
Jirong LongDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Yingchang LuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Xingyi GuoDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Joshua A BauerDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee.
Bogdan PasaniucDepartment of Pathology and Laboratory Medicine and Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
Kathryn L PenneyChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Matthew L Freedman
Zsofia Kote-JaraiDivision of Genetics and Epidemiology, The Institute of Cancer Research, and The Royal Marsden NHS Foundation Trust, London, United Kingdom.
John S WitteProgram in Biological and Medical Informatics, University of California, San Francisco, San Francisco, California.
Christopher A HaimanDepartment of Preventive Medicine, University of Southern California, Los Angeles, California.
Rosalind A EelesDivision of Genetics and Epidemiology, The Institute of Cancer Research, and The Royal Marsden NHS Foundation Trust, London, United Kingdom.ORCID 0000-0002-3698-6241
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee. wei.zheng@vanderbilt.edu.
PRACTICAL, CRUK, BPC3, CAPS, PEGASUS Consortia
Vanderbilt University Medical Center · USRoyal Marsden NHS Foundation Trust · GBUniversity of California, San Francisco · USBrigham and Women's Hospital · USBroad Institute · USChengdu Fifth People's Hospital · CNUniversity of California, Los Angeles · USUniversity of California San Francisco Medical Center · USUniversity of Hawaiʻi at Mānoa · USUniversity of Southern California · USVanderbilt University · US

Funding

BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Vanderbilt Training Program in Molecular and Genetic Epidemiology of CancerT32CA160056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Xiao-Ou Shu · 2017 to 2026
$3.8M
Vanderbilt Training Program in Molecular and Genetic Epidemiology of CancerR25CA160056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEIMBURGER, DOUGLAS CORBETT, SHU, XIAO-OU · 2012 to 2016
$2.1M
Cancer Pharmacologist and HTS ScientistR50CA211206 · NCI · VANDERBILT UNIVERSITY · PI Joshua A. Bauer · 2016 to 2026
$1.8M
Uncovering roles of polyunsaturated fatty acids in pancreatic cancer etiologyK99CA218892 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WU, LANG · 2018 to 2018
$120k
Cancer Research UK 21332NCI NIH HHS K99 CA218892NCI NIH HHS R25 CA160056NCI NIH HHS R50 CA211206NCI NIH HHS T32 CA160056
6 · The paper itself

Abstract

Genome-wide association study-identified prostate cancer risk variants explain only a relatively small fraction of its familial relative risk, and the genes responsible for many of these identified associations remain unknown. To discover novel prostate cancer genetic loci and possible causal genes at previously identified risk loci, we performed a transcriptome-wide association study in 79,194 cases and 61,112 controls of European ancestry. Using data from the Genotype-Tissue Expression Project, we established genetic models to predict gene expression across the transcriptome for both prostate models and cross-tissue models and evaluated model performance using two independent datasets. We identified significant associations for 137 genes at

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyPolymorphism, Single NucleotideQuantitative Trait LociTranscriptomeBiomarkers, TumorCase-Control StudiesHumansMaleProstatic NeoplasmsRiskBiomarkers, Tumor

Identifiers

PMID31101764
PMCPMC6606384
OpenAlexW2946144155

What OpenQuestion holds

Textmetadata
LicenceTDM
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.