Evidence map›Paper›PMID 24729084›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Analyzing 395,793 samples shows significant association between rs999737 polymorphism and breast cancer.

Haiying Dong, Zhiying Gao, Chengchong Li, Junping Wang, Ming Jin, Hua Rong, Yingcai Niu, Jicheng Liu

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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
  2. Previous GWAS hits in relation to young-onset breast cancer.Breast cancer research and treatment · 2017
    Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Haiying DongInstitute of Pathology, Qiqihar Medical University, Qiqihar, 161006, China.
Zhiying Gao
Chengchong Li
Junping Wang
Ming Jin
Hua Rong
Yingcai Niu
Jicheng Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale genome-wide association studies (GWAS) have been conducted and reported the association between rs999737 polymorphism at 14q24.1 (RAD51L1) and breast cancer risk. Following studies investigated rs999737 polymorphism in European and Asian populations. However, some of these studies reported weak and no significant association. Here, we reevaluated this association using large-scale samples from previous 11 studies (n=395,793; 162,261 cases and 233,532 controls) from the PubMed database. We evaluated the genetic heterogeneity among the selected studies. The pooled odds ratio (OR) is calculated by the fixed effect model. All statistical tests for heterogeneity and meta-analysis were computed using R package. We did not identify significant heterogeneity among the included studies using the allele model (P=0.1314 and I (2)=33.4 %). We observed significant association between rs999737 and breast cancer using the allele model (P=2.47E - 35, OR=0.92, 95 % confidence interval (CI) 0.91-0.93). Our analysis further supports previous findings that the rs999737 polymorphism contributes to breast cancer susceptibility. We believe that our finding will be very useful for future genetic studies in breast cancer.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticBreast NeoplasmsDNA-Binding ProteinsFemaleGenome-Wide Association StudyHumansPublication BiasDNA-Binding ProteinsRAD51B protein, human

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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.