Evidence map›Paper›PMID 23475944›Full record

ArticleCarcinogenesis2013

Fine mapping of breast cancer genome-wide association studies loci in women of African ancestry identifies novel susceptibility markers.

Yonglan Zheng, Temidayo O Ogundiran, Adeyinka G Falusi, Katherine L Nathanson, Esther M John, Anselm J M Hennis, Stefan Ambs, Susan M Domchek, Timothy R Rebbeck, Michael S Simon and 12 more

Open access · bronzeAbstract read
In one paragraph

Article in Carcinogenesis, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Characterizing Genetic Susceptibility to Breast Cancer in Women of African Ancestry.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    Article
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  18. Prevalence of mutations in a panel of breast cancer susceptibility genes in BRCA1/2-negative patients with early-onset breast cancer.Genetics in medicine : official journal of the American College of Medical Genetics · 2015
    Article
  19. Article
  20. Review
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

22 authors at 11 institutions in 5 countries.

Yonglan ZhengDepartment of Medicine, Center for Clinical Cancer Genetics and Global Health, The University of Chicago, Chicago, IL 60637, USA.
Temidayo O Ogundiran
Adeyinka G Falusi
Katherine L Nathanson
Esther M John
Anselm J M Hennis
Stefan Ambs
Susan M Domchek
Timothy R Rebbeck
Michael S Simon
Barbara Nemesure
Suh-Yuh Wu
Maria Cristina Leske
Abayomi Odetunde
Qun Niu
Jing Zhang
Chibuzor Afolabi
Eric R Gamazon
Nancy J Cox
Christopher O Olopade
Olufunmilayo I Olopade
Dezheng Huo
University of Chicago · USUniversity of Pennsylvania · USStony Brook Medicine · USUniversity of Ibadan · NGCancer Prevention Institute of California · USGenetic Technologies (Australia) · AUNational Institutes of Health · USResearch Institute for Genetic and Human Therapy · USStony Brook University · USStony Brook University Hospital · USWayne State University · US

Funding

Northern California Cooperative Family Registry for Breast CancerU01CA069417 · NCI · NORTHERN CALIFORNIA CANCER CENTER · PI JOHN, ESTHER M. · 1995 to 2010
$22.4M
Novel Markers for Disease Outcome in Breast CancerZIABC010887 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI AMBS, STEFAN · 2009 to 2025
$11.5M
Variation in Hormone and xenobiotic metabolizing enzyme genes and breast cancerP50CA125183 · NCI · UNIVERSITY OF CHICAGO · PI GIGER, MARYELLEN L. · 2006 to 2010
$11.3M
RACE VARIABILITY IN GENOTYPIC DETERMINANTS OF BREAST CAP01CA082707 · NCI · UNIVERSITY OF PENNSYLVANIA · PI REBBECK, TIMOTHY R · 2000 to 2004
$11.0M
Tissue CoreP50ES012382 · NIEHS · UNIVERSITY OF CHICAGO · PI GEHLERT, SARAH JANE · 2003 to 2009
$7.9M
Genetics of Breast Cancer in BlacksR01CA089085 · NCI · UNIVERSITY OF CHICAGO · PI OLOPADE, OLUFUNMILAYO F. · 2002 to 2006
$2.8M
Genome-wide association study of breast cancer in the African DiasporaR01CA142996 · NCI · UNIVERSITY OF CHICAGO · PI OLOPADE, OLUFUNMILAYO F. · 2010 to 2012
$1.5M
Replication Study of Breast Cancer Susceptibility Genes in BlacksR01CA141712 · NCI · UNIVERSITY OF CHICAGO · PI HUO, DEZHENG · 2009 to 2010
$500k
NCI NIH HHS HHSN261200900010CNCI NIH HHS P01 CA082707NCI NIH HHS P01 CA82707NCI NIH HHS P50 CA125183NCI NIH HHS R01 CA089085NCI NIH HHS R01 CA141712NCI NIH HHS R01 CA142996NCI NIH HHS R01 CA89085NCI NIH HHS U01 CA069417NCI NIH HHS U01 CA69417NIEHS NIH HHS P50 ES012382
6 · The paper itself

Abstract

Numerous single nucleotide polymorphisms (SNPs) associated with breast cancer susceptibility have been identified by genome-wide association studies (GWAS). However, these SNPs were primarily discovered and validated in women of European and Asian ancestry. Because linkage disequilibrium is ancestry-dependent and heterogeneous among racial/ethnic populations, we evaluated common genetic variants at 22 GWAS-identified breast cancer susceptibility loci in a pooled sample of 1502 breast cancer cases and 1378 controls of African ancestry. None of the 22 GWAS index SNPs could be validated, challenging the direct generalizability of breast cancer risk variants identified in Caucasians or Asians to other populations. Novel breast cancer risk variants for women of African ancestry were identified in regions including 5p12 (odds ratio [OR] = 1.40, 95% confidence interval [CI] = 1.11-1.76; P = 0.004), 5q11.2 (OR = 1.22, 95% CI = 1.09-1.36; P = 0.00053) and 10p15.1 (OR = 1.22, 95% CI = 1.08-1.38; P = 0.0015). We also found positive association signals in three regions (6q25.1, 10q26.13 and 16q12.1-q12.2) previously confirmed by fine mapping in women of African ancestry. In addition, polygenic model indicated that eight best markers in this study, compared with 22 GWAS-identified SNPs, could better predict breast cancer risk in women of African ancestry (per-allele OR = 1.21, 95% CI = 1.16-1.27; P = 9.7 × 10(-16)). Our results demonstrate that fine mapping is a powerful approach to better characterize the breast cancer risk alleles in diverse populations. Future studies and new GWAS in women of African ancestry hold promise to discover additional variants for breast cancer susceptibility with clinical implications throughout the African diaspora.

Indexed as

Genetic LociGenetic Predisposition to DiseaseAdultAllelesBiomarkers, TumorBlack PeopleBreast NeoplasmsCase-Control StudiesChromosome MappingChromosomes, Human, Pair 16Chromosomes, Human, Pair 6Confidence IntervalsFemaleGenome-Wide Association StudyHumansMiddle AgedBiomarkers, Tumor

Identifiers

PMID23475944
PMCPMC3697898
OpenAlexW2131331615

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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.