Evidence map›Paper›PMID 23486537›Full record

ArticleEuropean journal of human genetics : EJHG2013

Comparison of genetic variation of breast cancer susceptibility genes in Chinese and German populations.

David Barzan, Marlon R Veldwijk, Carsten Herskind, Yang Li, Bo Zhang, Elena Sperk, Wei-Dong Du, Xue-Jun Zhang, Frederik Wenz

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in European journal of human genetics : EJHG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 4 pooled it
3.7field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  12. Previous GWAS hits in relation to young-onset breast cancer.Breast cancer research and treatment · 2017
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  15. Social memory associated with estrogen receptor polymorphisms in women.Social cognitive and affective neuroscience · 2016
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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

9 authors at 3 institutions in 2 countries.

David BarzanDepartment of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Marlon R Veldwijk
Carsten Herskind
Yang Li
Bo Zhang
Elena Sperk
Wei-Dong Du
Xue-Jun Zhang
Frederik Wenz
University Medical Centre Mannheim · DEAnhui Medical University · CNHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) identified several genetic risk factors for breast cancer, however, most of them were validated among women of European ancestry. This study examined single-nucleotide polymorphisms (SNPs) contributing to breast cancer in Chinese (984 cases and 2206 controls) and German (311 cases and 960 controls) populations. Eighteen SNPs significantly associated with breast cancer, previously identified in GWAS were genotyped. Twelve SNPs passed quality control and were subjected to statistical analysis. Seven SNPs were confirmed to be significantly associated with breast cancer in the Chinese population, reflecting three independent loci (ESR1, FGFR2, TOX3) and five of these were also confirmed in the German population. The strongest association was identified for rs2046210 in the Chinese (odds ratio (OR)=1.42, 95% confidence interval (CI)=1.28-1.59, P=1.9 × 10(-10)) and rs3803662 in the German population (OR=1.43, 95% CI=1.17-1.74, P=4.01 × 10(-4)), located upstream of the ESR1 and TOX3 gene, respectively. For the first time, rs3757318 at 6q25.1, located next to the gene encoding estrogen receptor α (ESR1) was found to be strongly associated with breast cancer (OR=1.33, 95% CI=1.18-1.49, P=1.94 × 10(-6)) in the Chinese population. The frequency of this variant was markedly lower in the German population and the association was not significant. Despite the genetic differences, essentially the same risk loci were identified in the Chinese and the German populations. Our study suggested the existence of common genetic factors as well as disease susceptibility differences for breast cancer in both populations and highlighted the importance of performing comparison analyses for disease susceptibility within ethnic populations.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationAge of OnsetApoptosis Regulatory ProteinsAsian PeopleBreast NeoplasmsCase-Control StudiesChinaEstrogen Receptor alphaFemaleGenes, NeoplasmGenetic LociGenome-Wide Association StudyGenotyping TechniquesGermanyHaplotypesApoptosis Regulatory ProteinsESR1 protein, humanEstrogen Receptor alphaFGFR2 protein, humanHigh Mobility Group ProteinsReceptor, Fibroblast Growth Factor, Type 2Receptors, ProgesteroneTOX3 protein, humanTrans-Activators

Identifiers

PMID23486537
PMCPMC3798843
OpenAlexW2004392157

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.