Evidence map›Paper›PMID 27863437›Full record

ArticleOncotarget2016

Association of multiple genetic variants with breast cancer susceptibility in the Han Chinese population.

Xu Li, Wenjing Zou, Ming Liu, Wei Cao, Yonghong Jiang, Gaili An, Yuzheng Wang, Shangke Huang, Xinhan Zhao

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Update on the relationship between theThe Journal of international medical research · 2023
    Pooled it
  2. Article
  3. bioRxiv : the preprint server for biology · 2023
    Article
  4. Potential Role of Zinc Finger 365Iranian journal of medical sciences · 2023
    Article
  5. Article
  6. 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

9 authors at 5 institutions in 1 country.

Xu LiDepartment of Oncology, First Affiliated Hospital, Xi'an Jiatong University, Xi'an, Shannxi 710061, China.
Wenjing ZouDepartment of The Fifth of Internal Medicine, Xi'an No5 Hospital, Xi'an, Shannxi 710082, China.
Ming LiuDepartment of Obstetrics and Gynecology, Second Affiliated Hospital, Xi'an Jiatong University, Xi'an, Shannxi 710003, China.
Wei CaoDepartment of Oncological Surgery, Shaanxi Provincial People's Hospital, Xi'an 710068, China.
Yonghong JiangDepartment of Oncological Surgery, Weinan Central Hospital, Weinan, Shaanxi 714000, China.
Gaili AnDepartment of Oncology, Shaanxi Provincial People's Hospital, Xi'an 710068, China.
Yuzheng WangDepartment of The First of Internal Medicine, Tumor Hospital of Shaanxi Province Affiliated Hospital, Medical College of Xi'an Jiao Tong University, Xi'an, Shannxi 710061, China.
Shangke HuangDepartment of Oncology, First Affiliated Hospital, Xi'an Jiatong University, Xi'an, Shannxi 710061, China.
Xinhan ZhaoDepartment of Oncology, First Affiliated Hospital, Xi'an Jiatong University, Xi'an, Shannxi 710061, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNShaanxi Provincial People's Hospital · CNFifth Hospital of Shijiazhuang · CNFirst Hospital of Xi'an · CNSecond Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We selected 13 tag single nucleotide polymorphisms (tSNPs) to investigate whether they were associated with breast cancer risk in the Chinese Han population. Upon statistical analyses of clinical data from 551 patients and 577 controls, we found that six of the 13 SNPs were associated with breast cancer; namely, rs4973768(Odds ratio (OR) = 1.30, 95% confidence interval (CI) =1.01-1.67), rs981782(OR =1.30, 95% CI=1.01-1.66), rs1432679(OR =0.84, 95% CI=0.70-0.99), rs10759243(OR=1.30, 95%CI=1.09-1.55), rs10822013(OR =1.18, 95% CI=1.00-1.39) and rs704010(OR =1.63, 95% CI=1.04-2.56). When stratified based on breast cancer subtype, our analyses revealed that three SNPs (rs981782, rs10759243 and rs704010) correlated with ER+ breast cancer, while another three (rs4973768, rs1432679 and rs10822013) correlated with ER- breast cancer. We obtained similar results while investigating the correlation of SNPs with PR status or clinical stage. Our results suggest that associations identified between SNPs and breast cancer through genome-wide association studies (GWAS) may not always be generalizable across races.

Indexed as

Polymorphism, Single NucleotideAdultAsian PeopleBiomarkers, TumorBreast NeoplasmsCase-Control StudiesChinaChi-Square DistributionFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseHeterozygoteHomozygoteHumansLogistic ModelsBiomarkers, TumorReceptors, EstrogenReceptors, Progesteronebreast cancercase-control studyChinese populationsingle nucleotide polymorphism (SNP)

Identifiers

PMID27863437
PMCPMC5356751
OpenAlexW2550946060

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.