Evidence map›Paper›PMID 23374354›Full record

ReviewCell2013

Integrative eQTL-based analyses reveal the biology of breast cancer risk loci.

Qiyuan Li, Ji-Heui Seo, Barbara Stranger, Aaron McKenna, Itsik Pe'er, Thomas Laframboise, Myles Brown, Svitlana Tyekucheva, Matthew L Freedman

Open access · bronzeAbstract readReview
In one paragraph

Review in Cell, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 216 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
216citing papers in PubMed, 7 pooled it
19.7field-weighted citation impact, top 1% 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

216 citing papers in PubMed, 7 syntheses or guidelines pooled it, 317 citations in OpenAlex.

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  4. Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
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156 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 1 country.

Qiyuan LiDepartment of Medical Oncology, The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Ji-Heui Seo
Barbara Stranger
Aaron McKenna
Itsik Pe'er
Thomas Laframboise
Myles Brown
Svitlana Tyekucheva
Matthew L Freedman
Broad Institute · USDana-Farber Cancer Institute · USBrigham and Women's Hospital · USCase Western Reserve University · USColumbia University · USHarvard University · US

Funding

Epidemiological and Clinical Translational Studies Post Genome-Wide AssociationU19CA148537 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EASTON, DOUGLAS FREDERICK, EELES, ROSALIND · 2010 to 2014
$10.4M
Fine mapping and characterization of the 8q24 prostate cancer risk locusR01CA129435 · NCI · DANA-FARBER CANCER INST · PI FREEDMAN, MATTHEW L · 2007 to 2009
$1.5M
A genomic survey of allele-specific selection in tumor ampliconsR01CA131341 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI LAFRAMBOISE, THOMAS LOUIS, PE'ER, ITSHACK G · 2008 to 2011
$1.2M
NCI NIH HHS R01 CA129435NCI NIH HHS R01 CA131341NCI NIH HHS U19 CA148537
6 · The paper itself

Abstract

Germline determinants of gene expression in tumors are infrequently studied due to the complexity of transcript regulation caused by somatically acquired alterations. We performed expression quantitative trait locus (eQTL)-based analyses using the multi-level information provided in The Cancer Genome Atlas (TCGA). Of the factors we measured, cis-acting eQTLs accounted for 1.2% of the total variation of tumor gene expression, while somatic copy-number alteration and CpG methylation accounted for 7.3% and 3.3%, respectively. eQTL analyses of 15 previously reported breast cancer risk loci resulted in the discovery of three variants that are significantly associated with transcript levels (false discovery rate [FDR] < 0.1). Our trans-based analysis identified an additional three risk loci to act through ESR1, MYC, and KLF4. These findings provide a more comprehensive picture of gene expression determinants in breast cancer as well as insights into the underlying biology of breast cancer risk loci.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyQuantitative Trait LociBreast NeoplasmsCell Line, TumorGene Expression ProfilingHumansKruppel-Like Factor 4Kruppel-Like Factor 4

Identifiers

PMID23374354
PMCPMC4165609
OpenAlexW2122698311

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.