Evidence map›Paper›PMID 28098224›Full record

ArticleScientific reports2017

Association of Genome-Wide Association Study (GWAS) Identified SNPs and Risk of Breast Cancer in an Indian Population.

Rajini Nagrani, Sharayu Mhatre, Preetha Rajaraman, Nilanjan Chatterjee, Mohammad R Akbari, Paolo Boffetta, Paul Brennan, Rajendra Badwe, Sudeep Gupta, Rajesh Dikshit

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Fibroblast Growth Factor Receptor 2 Signaling in Breast Cancer.International journal of biological sciences · 2017
    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

10 authors at 6 institutions in 4 countries.

Rajini NagraniCentre for Cancer Epidemiology, Tata Memorial Centre, Mumbai, India.
Sharayu MhatreCentre for Cancer Epidemiology, Tata Memorial Centre, Mumbai, India.
Preetha RajaramanDivision of Cancer Epidemiology &Genetics, National Cancer Institute, Bethesda, USA.
Nilanjan ChatterjeeDivision of Cancer Epidemiology &Genetics, National Cancer Institute, Bethesda, USA.
Mohammad R AkbariWomen's College Research Institute, Women's College Hospital, Toronto, ON, Canada.
Paolo BoffettaInstitute For Translational Epidemiology, Mount Sinai Hospital, One Gustave L.Levy Place New York, NY, USA.
Paul BrennanGenetic Epidemiology Group, International Agency for Research on Cancer, 150 Cours Albert Thomas, 69372 Lyon CEDEX, France.
Rajendra BadweDepartment of Surgical Oncology, Tata Memorial Hospital, Mumbai, India.
Sudeep GuptaDepartment of Surgical Oncology, Tata Memorial Hospital, Mumbai, India.
Rajesh DikshitCentre for Cancer Epidemiology, Tata Memorial Centre, Mumbai, India.
Tata Memorial Hospital · INDivision of Cancer Epidemiology and GeneticsAdvanced Centre for Treatment, Research and Education in Cancer · INCentre International de Recherche sur le Cancer · FRMount Sinai Hospital · USUniversity of Toronto · CA

Funding

World Health Organization 001
6 · The paper itself

Abstract

To date, no studies have investigated the association of the GWAS-identified SNPs with BC risk in Indian population. We investigated the association of 30 previously reported and replicated BC susceptibility SNPs in 1,204 cases and 1,212 controls from a hospital based case-control study conducted at the Tata Memorial Hospital, Mumbai. As a measure of total susceptibility burden, the polygenic risk score (PRS) for each individual was defined by the weighted sum of genotypes from 21 independent SNPs with weights derived from previously published estimates of association odds-ratios. Logistic regression models were used to assess risk associated with individual SNPs and overall PRS, and stratified by menopausal and receptor status. A total of 11 SNPs from eight genomic regions (FGFR2, 9q31.2, MAP3K, CCND1, ZM1Z1, RAD51L11, ESR1 and UST) showed statistically significant (p-value ≤ 0.05) evidence of association, either overall or when stratified by menopausal status or hormone receptor status. BC SNPs previously identified in Caucasian population showed evidence of replication in the Indian population mainly with respect to risk of postmenopausal and hormone receptor positive BC.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAgedBreast NeoplasmsCase-Control StudiesFemaleGenome-Wide Association StudyGenotypeHumansIndiaMiddle AgedRisk AssessmentYoung Adult

Identifiers

PMID28098224
PMCPMC5241870
OpenAlexW2575608212

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Registered trials

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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.