Evidence map›Paper›PMID 21424380›Full record

ArticleHuman genetics2011

Potential novel candidate polymorphisms identified in genome-wide association study for breast cancer susceptibility.

Badan Sehrawat, Malinee Sridharan, Sunita Ghosh, Paula Robson, Carol E Cass, John R Mackey, Russell Greiner, Sambasivarao Damaraju

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
5.0field-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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Identification of Key Genes and Pathways Associated with RUNX1 Mutations in Acute Myeloid Leukemia Using Bioinformatics Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Previous GWAS hits in relation to young-onset breast cancer.Breast cancer research and treatment · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Polymorphisms in ESR1 and FLJ43663 are associated with breast cancer risk in the Han population.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  18. Article
  19. Article
  20. Hereditary breast cancer: ever more pieces to the polygenic puzzle.Hereditary cancer in clinical practice · 2013
    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

8 authors at 2 institutions in 1 country.

Badan SehrawatDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada.
Malinee Sridharan
Sunita Ghosh
Paula Robson
Carol E Cass
John R Mackey
Russell Greiner
Sambasivarao Damaraju
University of Alberta · CAAlberta Health Services · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous genome-wide association studies (GWAS) have shown several risk alleles to be associated with breast cancer. However, the variants identified so far contribute to only a small proportion of disease risk. The objective of our GWAS was to identify additional novel breast cancer susceptibility variants and to replicate these findings in an independent cohort. We performed a two-stage association study in a cohort of 3,064 women from Alberta, Canada. In Stage I, we interrogated 906,600 single nucleotide polymorphisms (SNPs) on Affymetrix SNP 6.0 arrays using 348 breast cancer cases and 348 controls. We used single-locus association tests to determine statistical significance for the observed differences in allele frequencies between cases and controls. In Stage II, we attempted to replicate 35 significant markers identified in Stage I in an independent study of 1,153 cases and 1,215 controls. Genotyping of Stage II samples was done using Sequenom Mass-ARRAY iPlex platform. Six loci from four different gene regions (chromosomes 4, 5, 16 and 19) showed statistically significant differences between cases and controls in both Stage I and Stage II testing, and also in joint analysis. The identified variants were from EDNRA, ROPN1L, C16orf61 and ZNF577 gene regions. The presented joint analyses from the two-stage study design were not significant after genome-wide correction. The SNPs identified in this study may serve as potential candidate loci for breast cancer risk in a further replication study in Stage III from Alberta population or independent validation in Caucasian cohorts elsewhere.

Indexed as

Genome-Wide Association StudyAdultAgedAllelesBiomarkers, TumorBreast NeoplasmsCanadaCase-Control StudiesFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenotypeHumansMiddle AgedPolymorphism, Single NucleotideProspective StudiesBiomarkers, Tumor

Identifiers

PMID21424380
PMCPMC3178778
OpenAlexW1982690686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.