Evidence map›Paper›PMID 24941967›Full record

ArticleBreast cancer research : BCR2014

Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population.

Charmaine Pei Ling Lee, Astrid Irwanto, Agus Salim, Jian-min Yuan, Jianjun Liu, Woon Puay Koh, Mikael Hartman

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Article
  6. Potential Role of Zinc Finger 365Iranian journal of medical sciences · 2023
    Article
  7. Development of a Breast Cancer Risk Prediction Model Incorporating Polygenic Risk Scores and Nongenetic Risk Factors for Korean Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
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  15. The Variant at TGFBRAP1 but Not TGFBR2 Is Associated with Antituberculosis Drug-Induced Liver Injury.Evidence-based complementary and alternative medicine : eCAM · 2019
    Article
  16. Metformin Reshapes the Methylation Profile in Breast and Colorectal Cancer CellsAsian Pacific journal of cancer prevention : APJCP · 2018
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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

7 authors.

Charmaine Pei Ling Lee
Astrid Irwanto
Agus Salim
Jian-min Yuan
Jianjun Liu
Woon Puay Koh
Mikael Hartman

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
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
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
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NCI NIH HHS R01 CA080205NCI NIH HHS R01 CA144034NCI NIH HHS R01 CA55069NCI NIH HHS R01 CA80205NCI NIH HHS R35 CA53890NCI NIH HHS UM1 CA182876
6 · The paper itself

Abstract

introductionGenetic variants for breast cancer risk identified in genome-wide association studies (GWAS) in Western populations require further testing in Asian populations. A risk assessment model incorporating both validated genetic variants and established risk factors may improve its performance in risk prediction of Asian women.

methodsA nested case-control study of female breast cancer (411 cases and 1,212 controls) within the Singapore Chinese Health Study was conducted to investigate the effects of 51 genetic variants identified in previous GWAS on breast cancer risk. The independent effect of these genetic variants was assessed by creating a summed genetic risk score (GRS) after adjustment for body mass index and the Gail model risk factors for breast cancer.

resultsThe GRS was an independent predictor of breast cancer risk in Chinese women. The multivariate-adjusted odds ratios (95% confidence intervals) of breast cancer for the second, third, and fourth quartiles of the GRS were 1.26 (0.90 to 1.76), 1.47 (1.06 to 2.04) and 1.75 (1.27 to 2.41) respectively (P for trend<0.001). In addition to established risk factors, the GRS improved the classification of 6.2% of women for their absolute risk of breast cancer in the next five years.

conclusionsGenetic variants on top of conventional risk factors can improve the risk prediction of breast cancer in Chinese women.

Indexed as

Genetic Predisposition to DiseaseAgedAllelesAsian PeopleBody Mass IndexBreast NeoplasmsCase-Control StudiesEstrogen Receptor alphaFemaleGene FrequencyGenome-Wide Association StudyHumansMiddle AgedPolymorphism, Single NucleotideRisk FactorsSingaporeESR1 protein, humanEstrogen Receptor alpha

Identifiers

PMID24941967
PMCPMC4095592

What OpenQuestion holds

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LicenceCC BY
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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.