Evidence map›Paper›PMID 27931260›Full record

ArticleBreast cancer research : BCR2016

Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry.

Wanqing Wen, Xiao-Ou Shu, Xingyi Guo, Qiuyin Cai, Jirong Long, Manjeet K Bolla, Kyriaki Michailidou, Joe Dennis, Qin Wang, Yu-Tang Gao and 25 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
5.1field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Pooled it
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  5. Article
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  7. A survey on deep learning for polygenic risk scores.Briefings in bioinformatics · 2025
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  9. Evaluation of Multiple Breast Cancer Polygenic Risk Score Panels in Women of Latin American Heritage.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Polygenic scores in cancer.Nature reviews. Cancer · 2023
    Review
  14. 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
    Article
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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

35 authors at 19 institutions in 12 countries.

Wanqing WenDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA. wanqing.wen@vanderbilt.edu.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
Xingyi GuoDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
Jirong LongDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
Manjeet K BollaCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Kyriaki MichailidouCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Joe DennisCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Qin WangCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Yu-Tang GaoDepartment of Epidemiology, Shanghai Cancer Institute, Shanghai, China.
Ying ZhengShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Alison M DunningCentre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
Montserrat García-ClosasDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Paul BrennanInternational Agency for Research on Cancer, Lyon, France.
Shou-Tung ChenDepartment of Surgery, Changhua Christian Hospital, Changhua, Taiwan.
Ji-Yeob ChoiDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
Mikael HartmanSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Hidemi ItoDivision of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.
Artitaya LophatananonDivision of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK.
Keitaro MatsuoDivision of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan.
Hui MiaoSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Kenneth MuirDivision of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK.
Suleeporn SangrajrangNational Cancer Institute, Bangkok, Thailand.
Chen-Yang ShenSchool of Public Health, China Medical University, Taichung, Taiwan.
Soo H TeoCancer Research Initiatives Foundation, Subang Jaya, Selangor, Malaysia.
Chiu-Chen TsengDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Anna H WuDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Cheng Har YipBreast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, Kuala Lumpur, Malaysia.
Jacques SimardGenomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Canada.
Paul D P PharoahCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Daehee KangDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
Yongbing XiangDepartment of Epidemiology, Shanghai Cancer Institute, Shanghai, China.
Douglas F EastonCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
University of Cambridge · GBVanderbilt University · USAichi Cancer Center · JPSeoul National University · KRShanghai Cancer Institute · CNUniversity Malaya Medical Centre · MYUniversity of Southern California · USCentre hospitalier universitaire de Québec · CACentre International de Recherche sur le Cancer · FRChanghua Christian Hospital · TWInstitute of Biomedical Sciences, Academia Sinica · TWKarolinska Institutet · SENational Cancer Institute · USNational Cancer Institute of Thailand · THNational University Health System · SGNational University of Singapore · SGShanghai Municipal Center For Disease Control Prevention · CNUniversity of Manchester · GBUniversity of Warwick · GB

Funding

Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
Epidemiological and Clinical Translational Studies Post Genome-Wide AssociationU19CA148537 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EASTON, DOUGLAS FREDERICK, EELES, ROSALIND · 2010 to 2014
$10.4M
Ovarian cancer GWAS discovery, expansion and replication (N2 - Project #1)U19CA148112 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI SELLERS, THOMAS A · 2010 to 2014
$10.2M
Shanghai Womens Health StudyUM1CA182910 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2014 to 2018
$5.9M
Shanghai Breast Cancer StudyR01CA064277 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 1996 to 2012
$4.8M
A genome-wide association study for breast cancer in BRCA1 mutation carriersR01CA128978 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2008 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
Consortium Study to Identify Breast Cancer Susceptibility LociR01CA148667 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LONG, JIRONG, ZHENG, WEI · 2011 to 2015
$3.3M
Genetic Factors for Breast Cancer- A genome Wide StudyR01CA124558 · NCI · VANDERBILT UNIVERSITY · PI ZHENG, WEI · 2008 to 2012
$3.1M
Breast Cancer Survival: Lifestyle and Genetic DeterminantsR01CA118229 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2007 to 2010
$2.9M
Genome-wide Copy Number Variation and Breast Cancer RiskR01CA137013 · NCI · VANDERBILT UNIVERSITY · PI LONG, JIRONG · 2009 to 2012
$2.4M
Soyfood, Gene Polymorphisms and Endometrial Cancer RiskR01CA092585 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2001 to 2010
$2.3M
Cancer Research UK 10118Cancer Research UK 10119Cancer Research UK 10124Cancer Research UK 16561Cancer Research UK 16565Cancer Research UK C12292/A11174Cancer Research UK C1281/A12014Cancer Research UK C1287/A 10710Cancer Research UK C5047/A10692Cancer Research UK C5047/A15007Cancer Research UK C5047/A8384Cancer Research UK C8197/A16565Intramural NIH HHS Z01 BC011118NCI NIH HHS N01 CN025403NCI NIH HHS R01 CA064277NCI NIH HHS R01 CA092585NCI NIH HHS R01 CA118229NCI NIH HHS R01 CA122756NCI NIH HHS R01 CA124558NCI NIH HHS R01 CA128978NCI NIH HHS R01 CA137013NCI NIH HHS R01 CA148667NCI NIH HHS R37 CA070867NCI NIH HHS U19 CA148065NCI NIH HHS U19 CA148112NCI NIH HHS U19 CA148537NCI NIH HHS UM1 CA182910World Health Organization 001
6 · The paper itself

Abstract

backgroundApproximately 100 common breast cancer susceptibility alleles have been identified in genome-wide association studies (GWAS). The utility of these variants in breast cancer risk prediction models has not been evaluated adequately in women of Asian ancestry.

methodsWe evaluated 88 breast cancer risk variants that were identified previously by GWAS in 11,760 cases and 11,612 controls of Asian ancestry. SNPs confirmed to be associated with breast cancer risk in Asian women were used to construct a polygenic risk score (PRS). The relative and absolute risks of breast cancer by the PRS percentiles were estimated based on the PRS distribution, and were used to stratify women into different levels of breast cancer risk.

resultsWe confirmed significant associations with breast cancer risk for SNPs in 44 of the 78 previously reported loci at P < 0.05. Compared with women in the middle quintile of the PRS, women in the top 1% group had a 2.70-fold elevated risk of breast cancer (95% CI: 2.15-3.40). The risk prediction model with the PRS had an area under the receiver operating characteristic curve of 0.606. The lifetime risk of breast cancer for Shanghai Chinese women in the lowest and highest 1% of the PRS was 1.35% and 10.06%, respectively.

conclusionApproximately one-half of GWAS-identified breast cancer risk variants can be directly replicated in East Asian women. Collectively, common genetic variants are important predictors for breast cancer risk. Using common genetic variants for breast cancer could help identify women at high risk of breast cancer.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseGenetic VariationAlgorithmsAsiaAsian PeopleBreast NeoplasmsCase-Control StudiesFemaleGenome-Wide Association StudyHumansModels, StatisticalOdds RatioPopulation SurveillanceRisk AssessmentRisk FactorsBreast cancer riskMethodology for SNP data analysisPrediction modelStatistical methods in genetics

Identifiers

PMID27931260
PMCPMC5146840
OpenAlexW2560481339

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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.