Evidence map›Paper›PMID 21454829›Full record

ArticleAmerican journal of epidemiology2011

Evaluation of functional genetic variants for breast cancer risk: results from the Shanghai breast cancer study.

Ben Zhang, Alicia Beeghly-Fadiel, Wei Lu, Qiuyin Cai, Yong-Bing Xiang, Ying Zheng, Jirong Long, Chuanzhong Ye, Kai Gu, Xiao-Ou Shu and 2 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genetic polymorphisms of ESR1, ESR2, CYP17A1, and CYP19A1 and the risk of breast cancer: a case control study from North India.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  7. Article
  8. Review
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

12 authors.

Ben ZhangDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Alicia Beeghly-Fadiel
Wei Lu
Qiuyin Cai
Yong-Bing Xiang
Ying Zheng
Jirong Long
Chuanzhong Ye
Kai Gu
Xiao-Ou Shu
Yutang Gao
Wei Zheng

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Shanghai Breast Cancer StudyR01CA064277 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 1996 to 2012
$4.8M
Cancer Risk Reduction and Diet: A Cohort Study of WomenR37CA070867 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2009 to 2013
$4.7M
MOLECULAR EPIDEMIOLOGIC STUDY OF BREAST CANCERR01CA090899 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 2000 to 2009
$3.5M
Genetic Factors for Breast Cancer- A genome Wide StudyR01CA124558 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 2008 to 2012
$3.1M
NCI NIH HHS P30 CA068485NCI NIH HHS P30 CA68485NCI NIH HHS R01 CA064277NCI NIH HHS R01 CA090899NCI NIH HHS R01 CA124558NCI NIH HHS R01CA124558NCI NIH HHS R01CA64277NCI NIH HHS R01CA90899NCI NIH HHS R37 CA070867NCI NIH HHS R37CA070867
6 · The paper itself

Abstract

In previous studies among 1,144 cases and 1,256 controls recruited in stage 1 of the Shanghai Breast Cancer Study (SBCS I; 1996-1998), 18 known or potentially functional single nucleotide polymorphisms (SNPs) in 16 genes were found to be associated with breast cancer risk. The authors evaluated these associations among 1,918 cases and 1,819 controls recruited in stage 2 of the SBCS (SBCS II; 2002-2005) using genetic effect models and subgroup analyses predetermined from SBCS I results. Five SNPs (AHR rs2066853, ATM rs1003623, ESR1 rs2234693, GSTP1 rs1695, and SHBG rs6259) showed generally consistent results in SBCS I and SBCS II and statistically significant associations with breast cancer risk in combined analyses, mostly in subgroups defined by age or menopausal status. Further, the relation between breast cancer risk and SHBG rs6259 was found to vary by body mass index (weight (kg)/height (m)(2)) (P for interaction = 0.003). The strongest reduction in risk associated with SHBG rs6259 was found for lean (body mass index <23) postmenopausal minor allele carriers (odds ratio = 0.6, 95% confidence interval: 0.5, 0.8; P = 4.6 × 10(-4)). This biologically plausible and highly significant finding provides strong evidence for a true association among Asian women. This study also highlights the value of gene-environment interaction analyses in evaluating genetic factors for complex diseases.

Indexed as

AdultAgedAge FactorsBody Mass IndexBreast NeoplasmsCase-Control StudiesChinaFemaleGenetic Association StudiesGenotypeHumansMiddle AgedPolymorphism, Single NucleotideReceptors, Cell SurfaceRisk FactorsYoung AdultReceptors, Cell Surfacesex hormone-binding globulin receptor

Identifiers

PMID21454829
PMCPMC3121323

What OpenQuestion holds

Textmetadata
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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.