Evidence map›Paper›PMID 29150481›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2018

Identification of Pleiotropic Cancer Susceptibility Variants from Genome-Wide Association Studies Reveals Functional Characteristics.

Yi-Hsuan Wu, Rebecca E Graff, Michael N Passarelli, Joshua D Hoffman, Elad Ziv, Thomas J Hoffmann, John S Witte

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, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  20. Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    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

7 authors at 1 institution in 1 country.

Yi-Hsuan WuDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
Rebecca E GraffDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
Michael N PassarelliDepartment of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
Joshua D HoffmanDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
Elad ZivInstitute for Human Genetics, University of California San Francisco, San Francisco, California.
Thomas J HoffmannDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
John S WitteDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California. jwitte@ucsf.edu.
University of California, San Francisco · US

Funding

Training in Molecular& Genetic Epidemiology of CancerR25CA112355 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2005 to 2018
$6.5M
Genetic Epidemiology of Prostate Cancer Risk and ProgressionR01CA088164 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VAN DEN EEDEN, STEPHEN K., WITTE, JOHN S. · 2000 to 2015
$6.1M
Genomewide Association Study of Prostate CancerU01CA127298 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2008 to 2012
$5.1M
Genome-wide Pleiotropy Scan across Multiple CancersR01CA201358 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRAFF, REBECCA ELIZABETH, SAKODA, LORI · 2016 to 2019
$2.5M
Genetics of mammographic density and breast cancer risk in LatinasK24CA169004 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZIV, ELAD · 2012 to 2021
$1.8M
Training in the Molecular & Genetic Epidemiology of CancerT32CA112355 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHENG, IONA C, ZIV, ELAD · 2020 to 2024
$1.8M
NCI NIH HHS K24 CA169004NCI NIH HHS R01 CA088164NCI NIH HHS R01 CA201358NCI NIH HHS R25 CA112355NCI NIH HHS T32 CA112355NCI NIH HHS U01 CA127298
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Genetic PleiotropyBiomarkers, TumorFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleNeoplasmsPolymorphism, Single NucleotideRisk FactorsBiomarkers, Tumor

Identifiers

PMID29150481
PMCPMC5760292
OpenAlexW2770443008

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.