Evidence map›Paper›PMID 23844225›Full record

SynthesisPloS one2013

Associations of ATR and CHEK1 single nucleotide polymorphisms with breast cancer.

Wei-Yu Lin, Ian W Brock, Dan Connley, Helen Cramp, Rachel Tucker, Jon Slate, Malcolm W R Reed, Sabapathy P Balasubramanian, Lisa A Cannon-Albright, Nicola J Camp and 1 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Genetic variants in CHEK1 gene are associated with the prognosis of thoracic esophageal squamous cell carcinoma patients treated with radical resection.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2016
    Article
  10. Article
  11. Article
  12. 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

11 authors at 3 institutions in 2 countries.

Wei-Yu LinDepartment of Oncology, Institute for Cancer Studies, CRUK/YCR Cancer Research Centre, University of Sheffield, Sheffield, United Kingdom.
Ian W Brock
Dan Connley
Helen Cramp
Rachel Tucker
Jon Slate
Malcolm W R Reed
Sabapathy P Balasubramanian
Lisa A Cannon-Albright
Nicola J Camp
Angela Cox
University of Sheffield · GBYorkshire Cancer Research · GBUniversity of Utah · US

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Shared Genomic Segment Analysis and Tumor Subtyping in High-Risk BrCa PedigreesR01CA163353 · NCI · UNIVERSITY OF UTAH · PI CAMP, NICOLA J. · 2012 to 2016
$2.9M
NCI NIH HHS HHSN261201000026CNCI NIH HHS P30 CA042014NCI NIH HHS P30 CA42014NCI NIH HHS R01 CA163353NCI NIH HHS R01CA163353
6 · The paper itself

Abstract

DNA damage and replication checkpoints mediated by the ATR-CHEK1 pathway are key to the maintenance of genome stability, and both ATR and CHEK1 have been proposed as potential breast cancer susceptibility genes. Many novel variants recently identified by the large resequencing projects have not yet been thoroughly tested in genome-wide association studies for breast cancer susceptibility. We therefore used a tagging SNP (tagSNP) approach based on recent SNP data available from the 1000 genomes projects, to investigate the roles of ATR and CHEK1 in breast cancer risk and survival. ATR and CHEK1 tagSNPs were genotyped in the Sheffield Breast Cancer Study (SBCS; 1011 cases and 1024 controls) using Illumina GoldenGate assays. Untyped SNPs were imputed using IMPUTE2, and associations between genotype and breast cancer risk and survival were evaluated using logistic and Cox proportional hazard regression models respectively on a per allele basis. Significant associations were further examined in a meta-analysis of published data or confirmed in the Utah Breast Cancer Study (UBCS). The most significant associations for breast cancer risk in SBCS came from rs6805118 in ATR (p=7.6 x 10(-5)) and rs2155388 in CHEK1 (p=3.1 x 10(-6)), but neither remained significant after meta-analysis with other studies. However, meta-analysis of published data revealed a weak association between the ATR SNP rs1802904 (minor allele frequency is 12%) and breast cancer risk, with a summary odds ratio (confidence interval) of 0.90 (0.83-0.98) [p=0.0185] for the minor allele. Further replication of this SNP in larger studies is warranted since it is located in the target region of 2 microRNAs. No evidence of any survival effects of ATR or CHEK1 SNPs were identified. We conclude that common alleles of ATR and CHEK1 are not implicated in breast cancer risk or survival, but we cannot exclude effects of rare alleles and of common alleles with very small effect sizes.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAtaxia Telangiectasia Mutated ProteinsBreast NeoplasmsCheckpoint Kinase 1FemaleHumansOdds RatioProtein KinasesRiskAtaxia Telangiectasia Mutated ProteinsATR protein, humanCheckpoint Kinase 1CHEK1 protein, humanProtein Kinases

Identifiers

PMID23844225
PMCPMC3700940
OpenAlexW2010036708

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.