Evidence map›Paper›PMID 33785833›Full record

ArticleScientific reports2021

Variable expression quantitative trait loci analysis of breast cancer risk variants.

George A R Wiggins, Michael A Black, Anita Dunbier, Tony R Merriman, John F Pearson, Logan C Walker

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

George A R WigginsDepartment of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.
Michael A BlackDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.
Anita DunbierDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.
Tony R MerrimanDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.
John F Pearson *Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.
Logan C Walker *Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand. logan.walker@otago.ac.nz.
University of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome wide association studies (GWAS) have identified more than 180 variants associated with breast cancer risk, however the underlying functional mechanisms and biological pathways which confer disease susceptibility remain largely unknown. As gene expression traits are under genetic regulation we hypothesise that differences in gene expression variability may identify causal breast cancer susceptibility genes. We performed variable expression quantitative trait loci (veQTL) analysis using tissue-specific expression data from the Genotype-Tissue Expression (GTEx) Common Fund Project. veQTL analysis identified 70 associations (p < 5 × 10

Indexed as

Breast NeoplasmsFemaleGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID33785833
PMCPMC8009949
OpenAlexW3139958352

What Socratic 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 Socratic graph.