Evidence map›Paper›PMID 23674270›Full record

ArticleGenetic epidemiology2013

BRCA1 polymorphisms and breast cancer epidemiology in the Western New York exposures and breast cancer (WEB) study.

Luisel J Ricks-Santi, Jing Nie, Catalin Marian, Heather M Ochs-Balcom, Maurizio Trevisan, Stephen B Edge, Yasmine Kanaan, Jo L Freudenheim, Peter G Shields

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Genetic epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

  • Erratum issued
    Kanaan, Yasmine [added]
5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Luisel J Ricks-SantiNational Human Genome Center at Howard University, Washington, District of Columbia, USA. lricks-santi@howard.edu
Jing Nie
Catalin Marian
Heather M Ochs-Balcom
Maurizio Trevisan
Stephen B Edge
Yasmine Kanaan
Jo L Freudenheim
Peter G Shields
University at Buffalo, State University of New York · USThe Ohio State University · USNevada System of Higher Education · USRoswell Park Comprehensive Cancer Center · USUniversity of Washington · US

Funding

VITAMIN C (ASCORBATE) METABOLISM IN DROSPHILA MELANOGASTERP41RR013461 · NCRR · UNIVERSITY OF CALIF-LAWRNC LVRMR NAT LAB · PI ALLEN, LINDSAY H · 1999 to 2011
$20.8M
STRUCTURAL/FUNCTIONAL CHARACTERIZATION OF AMINOGLYCOSIDEG12RR003048 · NCRR · HOWARD UNIVERSITY · PI SOUTHERLAND, WILLIAM M. · 1985 to 2011
$19.0M
Resources and Infrastructure: Faculty RecruitmentU54CA091431 · NCI · HOWARD UNIVERSITY · PI ADAMS-CAMPBELL, LUCILE LAUREN · 2001 to 2010
$15.9M
Georgetown-Howard Universities Center for Clinical and Translational Science (GHUUL1RR031975 · NCRR · GEORGETOWN UNIVERSITY · PI MELLMAN, THOMAS A, VERBALIS, JOSEPH G · 2010 to 2011
$14.6M
Methylation and Oxidation in Breast Cancer EpidemiologyR01CA092040 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI FREUDENHEIM, JO L · 2002 to 2005
$2.5M
Estrogen Receptor 1 Gene, Adiposity, and Breast CancerK07CA136969 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI OCHS-BALCOM, HEATHER M · 2009 to 2013
$810k
PILOT--GEOGRAPHIC INFORMATION SYSTEM FOR ALCOHOL STUDIESP50AA009802 · NIAAA · RESEARCH INSTITUTE ON ADDICTIONS · PI RUSSELL, MARCIA · 1994 to 1998
–
NCI NIH HHS CA092040NCI NIH HHS K07 CA136969NCI NIH HHS R01 CA092040NCI NIH HHS U54 CA091431NCRR NIH HHS G12 RR003048NCRR NIH HHS P41 RR013461NCRR NIH HHS UL1 RR031975NCRR NIH HHS UL1RR031975NIAAA NIH HHS AA09802NIAAA NIH HHS P50 AA009802
6 · The paper itself

Abstract

Results of studies for the association of BRCA1 genotypes and haplotypes with sporadic breast cancer have been inconsistent. Therefore, a candidate single nucleotide polymorphism (SNP) approach was used in a breast cancer case-control study to explore genotypes and haplotypes that have the potential to affect protein functions or levels. In a breast cancer case-control study, genotyping of BRCA1 polymorphisms Q356R, D693N, and E1038G was performed on 1,005 cases and 1,765 controls. Unconditional, polytomous logistic regression and χ(2) -tests were used to examine the associations of breast cancer with genotypes and haplotypes. In addition, interactions between genotype and smoking, benign breast disease, family history of breast cancer, body mass index (BMI), alcohol consumption, and hormonal risk factors, hormone receptor status, and breast cancer pathology were calculated also using logistic regression and χ(2) . Although sporadic breast cancer was not associated with BRCA1 genotypes or haplotypes overall or by menopausal status, there was evidence of an interaction between the E1038G BRCA1 genotype, smoking, and BMI among premenopausal women (P for interaction = 0.01 and 0.045, respectively) and between E1038G and D693N BRCA1 genotypes and hormone therapy use among postmenopausal women (P for interaction = 0.01 and 0.02, respectively). There were no other associations found between BRCA1 genotypes and stage, histological grade, or nuclear grade. However, the D693N SNP was associated with the risk of triple negative breast cancer (odds ratio = 2.31 95% confidence interval 1.08-4.93). The BRCA1 variants studied may play a role in the etiology of triple negative breast cancer and may interact with environmental factors such as hormone therapy or smoking and increase sporadic breast cancer risk.

Indexed as

Genes, BRCA1Polymorphism, Single NucleotideAdultAgedAlgorithmsBreast NeoplasmsCase-Control StudiesData Interpretation, StatisticalFemaleGenotypeHaplotypesHumansMiddle AgedNew YorkRisk Factors

Identifiers

PMID23674270
PMCPMC3699175
OpenAlexW1974772539

What OpenQuestion holds

Textmetadata
LicenceTDM
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.