Evidence map›Paper›PMID 29727689›Full record

ArticleAmerican journal of human genetics2018

A Comprehensive cis-eQTL Analysis Revealed Target Genes in Breast Cancer Susceptibility Loci Identified in Genome-wide Association Studies.

Xingyi Guo, Weiqiang Lin, Jiandong Bao, Qiuyin Cai, Xiao Pan, Mengqiu Bai, Yuan Yuan, Jiajun Shi, Yaqiong Sun, Mi-Ryung Han and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 4 pooled it
3.8field-weighted citation impact, top 6% 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

67 citing papers in PubMed, 4 syntheses or guidelines pooled it, 92 citations in OpenAlex.

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

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

17 authors at 2 institutions in 2 countries.

Xingyi GuoDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA. Electronic address: xingyi.guo@vanderbilt.edu.
Weiqiang LinThe Kidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310029, China; Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310029, China.
Jiandong BaoDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA; College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Xiao PanThe Kidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310029, China; Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310029, China.
Mengqiu BaiThe Kidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310029, China; Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310029, China.
Yuan YuanThe Kidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310029, China; Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou 310029, China.
Jiajun ShiDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Yaqiong SunDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Mi-Ryung HanDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Jing WangCenter for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Qi LiuCenter for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Wanqing WenDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Bingshan LiDepartment of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Jirong LongDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Jianghua ChenThe Kidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310029, China.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Vanderbilt University · USFirst Affiliated Hospital Zhejiang University · CN

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
Consortium Study to Identify Breast Cancer Susceptibility LociR01CA148667 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LONG, JIRONG, ZHENG, WEI · 2011 to 2015
$3.3M
NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA148667
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have identified more than 150 common genetic loci for breast cancer risk. However, the target genes and underlying mechanisms remain largely unknown. We conducted a cis-expression quantitative trait loci (cis-eQTL) analysis using normal or tumor breast transcriptome data from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), The Cancer Genome Atlas (TCGA), and the Genotype-Tissue Expression (GTEx) project. We identified a total of 101 genes for 51 lead variants after combing the results of a meta-analysis of METABRIC and TCGA, and the results from GTEx at a Benjamini-Hochberg (BH)-adjusted p < 0.05. Using luciferase reporter assays in both estrogen-receptor positive (ER

Indexed as

Genes, NeoplasmGenome-Wide Association StudyAllelesBreast NeoplasmsCell Line, TumorChromatinFemaleGene Expression Regulation, NeoplasticGenes, ReporterHumansLuciferasesPolymorphism, Single NucleotidePromoter Regions, GeneticQuantitative Trait LociRisk FactorsChromatinLuciferasesbioinformaticsbreast cancercell behaviorcis-eQTLfunctional genomicsfunctional SNPgene expressionGWASrisk variantsusceptibility gene

Identifiers

PMID29727689
PMCPMC5986971
OpenAlexW2800524425

What OpenQuestion holds

Textmetadata
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.