Evidence map›Paper›PMID 29302764›Full record

ArticleBreast cancer research and treatment2018

Genetic variants demonstrating flip-flop phenomenon and breast cancer risk prediction among women of African ancestry.

Shengfeng Wang, Frank Qian, Yonglan Zheng, Temidayo Ogundiran, Oladosu Ojengbede, Wei Zheng, William Blot, Katherine L Nathanson, Anselm Hennis, Barbara Nemesure and 3 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

  1. Pooled it
  2. Article
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  4. Observational
  5. Within-family analysis of PRSJournal, genetic engineering & biotechnology · 2025
    Article
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  8. Article
  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. Review
  11. A polygenic resilience score moderates the genetic risk for schizophrenia: Replication in 18,090 cases and 28,114 controls from the Psychiatric Genomics Consortium.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2024
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors.

Shengfeng WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Frank QianDepartment of Medicine, University of Chicago, Chicago, USA.
Yonglan ZhengCenter for Clinical Cancer Genetics & Global Health, Department of Medicine, University of Chicago, 5841 S. Maryland Ave., MC 2020, Chicago, IL, 60637, USA.
Temidayo OgundiranDepartment of Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Oladosu OjengbedeCenter for Population and Reproductive Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA.
William BlotDivision of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, USA.
Katherine L NathansonDepartment of Medicine, University of Pennsylvania, Philadelphia, USA.
Anselm HennisChronic Disease Research Centre, Tropical Medicine Research Institute, University of the West Indies, Bridgetown, Barbados.
Barbara NemesureDepartment of Preventive Medicine, State University of New York, Stony Brook, USA.
Stefan AmbsLaboratory of Human Carcinogenesis, National Cancer Institute, Rockville, USA.
Olufunmilayo I OlopadeCenter for Clinical Cancer Genetics & Global Health, Department of Medicine, University of Chicago, 5841 S. Maryland Ave., MC 2020, Chicago, IL, 60637, USA. folopade@bsd.uchicago.edu.
Dezheng HuoDepartment of Public Health Sciences, University of Chicago, 5841 S. Maryland Ave, MC 2007, Chicago, IL, 60637, USA. dhuo@uchicago.edu.ORCID http://orcid.org/0000-0002-4041-1678

Funding

Novel Markers for Disease Outcome in Breast CancerZIABC010887 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI AMBS, STEFAN · 2009 to 2025
$11.5M
Using Genomics to Reduce Breast Cancer Disparities in the African DiasporaU01CA161032 · NCI · UNIVERSITY OF CHICAGO · PI HUO, DEZHENG, OLOPADE, OLUFUNMILAYO F. · 2012 to 2015
$3.6M
Genome-wide association study of breast cancer in the African DiasporaR01CA142996 · NCI · UNIVERSITY OF CHICAGO · PI OLOPADE, OLUFUNMILAYO F. · 2010 to 2012
$1.5M
American Cancer Society CRP-10-119-01-CCEAmerican Cancer Society MRSG-13-063-01-TBGNational Cancer Institute CA142996National Cancer Institute CA161032NCI NIH HHS R01 CA142996NCI NIH HHS U01 CA161032
6 · The paper itself

Abstract

backgroundFew studies have evaluated the performance of existing breast cancer risk prediction models among women of African ancestry. In replication studies of genetic variants, a change in direction of the risk association is a common phenomenon. Termed flip-flop, it means that a variant is risk factor in one population but protective in another, affecting the performance of risk prediction models.

methodsWe used data from the genome-wide association study (GWAS) of breast cancer in the African diaspora (The Root consortium), which included 3686 participants of African ancestry from Nigeria, USA, and Barbados. Polygenic risk scores (PRSs) were constructed from the published odds ratios (ORs) of four sets of susceptibility loci for breast cancer. Discrimination capacity was measured using the area under the receiver operating characteristic curve (AUC).

resultsFlip-flop phenomenon was observed among 30~40% of variants across studies. Using the 34 variants with consistent directionality among previous studies, we constructed a PRS with AUC of 0.531 (95% confidence interval [CI]: 0.512-0.550), which is similar to the PRS using 93 variants and ORs from European ancestry populations (AUC = 0.525, 95% CI: 0.506-0.544). Additionally, we found the 34-variant PRS has good discriminative accuracy in women with family history of breast cancer (AUC = 0.586, 95% CI: 0.532-0.640).

conclusionsWe found that PRS based on variants identified from prior GWASs conducted in women of European and Asian ancestries did not provide a comparable degree of risk stratification for women of African ancestry. Further large-scale fine-mapping studies in African ancestry populations are desirable to discover population-specific genetic risk variants.

Indexed as

Genetic Predisposition to DiseasePrognosisAdultAgedAsian PeopleBlack PeopleBreast NeoplasmsFemaleGenetic VariationGenome-Wide Association StudyHumansMiddle AgedNigeriaPolymorphism, Single NucleotideRisk FactorsBreast neoplasmsFlip-flopPolygenic risk scoreWomen of African ancestry

Identifiers

PMID29302764
PMCPMC5916755

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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.