Evidence map›Paper›PMID 26950096›Full record

SynthesisNature genetics2016

Gene regulatory mechanisms underpinning prostate cancer susceptibility.

Thomas Whitington, Ping Gao, Wei Song, Helen Ross-Adams, Alastair D Lamb, Yuehong Yang, Ilaria Svezia, Daniel Klevebring, Ian G Mills, Robert Karlsson and 9 more

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Nature genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 4 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

86 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Thomas WhitingtonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Ping GaoFaculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
Wei SongFaculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
Helen Ross-AdamsCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
Alastair D LambCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
Yuehong YangFaculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
Ilaria SveziaFaculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
Daniel KlevebringDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-9810-3838
Ian G MillsProstate Cancer Research Group, Centre for Molecular Medicine Norway, Nordic EMBL Partnership, University of Oslo and Oslo University Hospital, Oslo, Norway.
Robert KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-8949-2587
Silvia HalimCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
Mark J DunningCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
Lars EgevadDepartment of Pathology and Cytology, Karolinska University Hospital, Stockholm, Sweden.
Anne Y WarrenDepartment of Pathology, Addenbrooke's Hospital, Cambridge, UK.
David E NealNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-6033-5086
Henrik GrönbergDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Johan LindbergDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Gong-Hong WeiFaculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
Fredrik WiklundDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Funding

Cancer Research UK C5047/A14835Medical Research Council G0500966Medical Research Council G0500966/75466
6 · The paper itself

Abstract

Molecular characterization of genome-wide association study (GWAS) loci can uncover key genes and biological mechanisms underpinning complex traits and diseases. Here we present deep, high-throughput characterization of gene regulatory mechanisms underlying prostate cancer risk loci. Our methodology integrates data from 295 prostate cancer chromatin immunoprecipitation and sequencing experiments with genotype and gene expression data from 602 prostate tumor samples. The analysis identifies new gene regulatory mechanisms affected by risk locus SNPs, including widespread disruption of ternary androgen receptor (AR)-FOXA1 and AR-HOXB13 complexes and competitive binding mechanisms. We identify 57 expression quantitative trait loci at 35 risk loci, which we validate through analysis of allele-specific expression. We further validate predicted regulatory SNPs and target genes in prostate cancer cell line models. Finally, our integrated analysis can be accessed through an interactive visualization tool. This analysis elucidates how genome sequence variation affects disease predisposition via gene regulatory mechanisms and identifies relevant genes for downstream biomarker and drug development.

Indexed as

Base SequenceBinding SitesCCCTC-Binding FactorGene Expression Regulation, NeoplasticGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMalePolymorphism, Single NucleotideProstatic NeoplasmsProtein BindingQuantitative Trait LociRepressor ProteinsRisk FactorsSequence Analysis, DNACCCTC-Binding FactorCTCF protein, humanRepressor Proteins

Identifiers

PMID26950096

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.