Evidence map›Paper›PMID 29156765›Full record

ArticleOncotarget2017

Network-directed cis-mediator analysis of normal prostate tissue expression profiles reveals downstream regulatory associations of prostate cancer susceptibility loci.

Nicholas B Larson, Shannon K McDonnell, Zach Fogarty, Melissa C Larson, John Cheville, Shaun Riska, Saurabh Baheti, Alexandra M Weber, Asha A Nair, Liang Wang and 4 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Review
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

14 authors at 5 institutions in 1 country.

Nicholas B LarsonDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Shannon K McDonnellDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Zach FogartyDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Melissa C LarsonDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
John ChevilleDivision of Anatomic Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Shaun RiskaDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Saurabh BahetiDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Alexandra M WeberDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Asha A NairDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Liang WangDepartment of Pathology, Medical College of Wisconsin, Milwaukee, WI, USA.
Daniel O'BrienDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Jaime DavilaDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Daniel J SchaidDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Stephen N ThibodeauDivision of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Florida · USMayo Clinic · USMayo Clinic in Arizona · USMedical College of Wisconsin · USUniversity of Michigan–Ann Arbor · US

Funding

Prostate Cancer Susceptibility: The ICPCG StudyU01CA089600 · NCI · MAYO CLINIC ROCHESTER · PI THIBODEAU, STEPHEN NORMAN · 2002 to 2016
$27.3M
University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Genetic determinants of gene expression phenotypes in aggressive prostate cancerR01CA157881 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI WANG, LIANG · 2011 to 2016
$2.9M
Functional Significance of Prostate Cancer risk-SNPsR01CA151254 · NCI · MAYO CLINIC ROCHESTER · PI THIBODEAU, STEPHEN NORMAN · 2011 to 2015
$1.8M
NCI NIH HHS R01 CA151254NCI NIH HHS R01 CA157881NCI NIH HHS U01 CA089600
6 · The paper itself

Abstract

Large-scale genome-wide association studies have identified multiple single-nucleotide polymorphisms associated with risk of prostate cancer. Many of these genetic variants are presumed to be regulatory in nature; however, follow-up expression quantitative trait loci (eQTL) association studies have to-date been restricted largely to

Indexed as

expression quantitative trait locigenetic riskmediationprostate cancer

Identifiers

PMID29156765
PMCPMC5689655
OpenAlexW2753408657

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.