Evidence map›Paper›PMID 23429186›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2013

Hormone metabolism genes and mammographic density in Singapore Chinese women.

Eunjung Lee, Yu-Chen Su, Juan Pablo Lewinger, Chris Hsu, David Van Den Berg, Giske Ursin, Woon-Puay Koh, Jian-Min Yuan, Daniel O Stram, Mimi C Yu and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

11 authors at 6 institutions in 3 countries.

Eunjung LeeDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Yu-Chen Su
Juan Pablo Lewinger
Chris Hsu
David Van Den Berg
Giske Ursin
Woon-Puay Koh
Jian-Min Yuan
Daniel O Stram
Mimi C Yu
Anna H Wu
National University Health System · SGCancer Registry of Norway · NODuke-NUS Medical School · SGUniversity of Oslo · NOUniversity of Minnesota · USUniversity of Southern California · US

Funding

Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
THE SINGAPORE COHORT STUDY OF DIET AND CANCERR01CA080205 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YUAN, JIAN-MIN · 1999 to 2009
$5.3M
DIETARY AND GENETIC DETERMINANTS OF MAMMOGRAPHIC DENSITYR01CA102065 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WU, ANNA H. · 2004 to 2008
$1.8M
COHORT STUDY OF DIET AND NASOPHYARYNGEAL CANCERR01CA055069 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YU, MIMI C. · 1992 to 1992
–
ENVIRONMENTAL EXPOSURES IN CANCER ETIOLOGYR35CA053890 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YU, MIMI C. · 1992 to 1998
–
NCI NIH HHS R01 CA055069NCI NIH HHS R01 CA080205NCI NIH HHS R01 CA102065NCI NIH HHS R01 CA144034NCI NIH HHS R01-CA144034NCI NIH HHS R01-CA55069NCI NIH HHS R01-CA80205NCI NIH HHS R35 CA053890NCI NIH HHS R35-CA53890
6 · The paper itself

Abstract

backgroundFemale steroid hormone levels and exogenous hormone use influence breast cancer risk. We investigated the association between genetic variation in the hormone metabolism and signaling pathway and mammographic density, a strong predictor of breast cancer risk.

methodsWe genotyped 161 SNPs in 15 hormone metabolism pathway gene regions and evaluated mammographic density in 2,038 Singapore Chinese women. Linear regression analysis was used to investigate single-nucleotide polymorphism (SNP) and mammographic density association. An overall pathway summary was obtained using the adaptive ranked truncated product test.

resultsWe did not find any of the individually tested SNPs to be associated with mammographic density after a multiple testing correction. There was no evidence of an overall effect on mammographic density of genetic variation in the hormone metabolism pathway.

conclusionsIn this cross-sectional study, genetic variation in hormone metabolism pathway was not associated with mammographic density in Singapore Chinese women. IMPACT: Consistent with existing data from Caucasian populations, polymorphisms in hormone pathway genes are not likely to be strong predictors of mammographic density in Asian women.

Indexed as

Asian PeopleBreast DensityBreast NeoplasmsCross-Sectional StudiesFemaleGenotypeHormonesHumansMammary Glands, HumanMammographyPolymorphism, Single NucleotideSingaporeHormones

Identifiers

PMID23429186
PMCPMC4197055
OpenAlexW2146553145

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.