Evidence map›Paper›PMID 19536173›Full record

ArticleEuropean journal of human genetics : EJHG2009

Association of FGFR2 gene polymorphisms with the risk of breast cancer in population of West Siberia.

Uljana A Boyarskikh, Natalja A Zarubina, Julia A Biltueva, Tatjana V Sinkina, Elena N Voronina, Aleksander F Lazarev, Valentina D Petrova, Yurii S Aulchenko, Maxim L Filipenko

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In one paragraph

Article in European journal of human genetics : EJHG, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Review
  5. Determination ofDisease markers · 2019
    Article
  6. A genome-wide association study of early-onset breast cancer identifies PFKM as a novel breast cancer gene and supports a common genetic spectrum for breast cancer at any age.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
    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

9 authors at 3 institutions in 2 countries.

Uljana A BoyarskikhPharmacogenomics Group, Institute of Chemical Biology and Fundamental Medicine, Novosibirsk, Russia.
Natalja A Zarubina
Julia A Biltueva
Tatjana V Sinkina
Elena N Voronina
Aleksander F Lazarev
Valentina D Petrova
Yurii S Aulchenko
Maxim L Filipenko
Institute of Chemical Biology and Fundamental Medicine · RURussian Cancer Research Center NN Blokhin · RUErasmus University Rotterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymorphisms within intron 2 of the FGFR2 gene have been associated with increased risk of breast cancer (BC) in European and Asian populations. The study by Easton et al reported two FGFR2 SNPs, rs2981582 and rs7895676, to be among those most strongly associated with BC risk. Statistical modeling suggested that rs7895676 was the variant responsible for the association observed in the region. In this work, we studied the association between seven FGFR2 SNPs, including rs2981582 and rs7895676, and BC risk in the Russian population of 766 case and 665 control women from Siberia, Russian Federation. In our population, allelic frequencies and the magnitude of linkage disequilibrium (LD) were different from those observed in European and Asian populations. The following three SNPs were significantly associated with BC in our study: rs7895676[C] (odds ratio (OR)=1.28 (1.12-1.43), P=1.7 x 10(-3)), rs2981582[T] (OR=1.46 (1.30-1.62), P=2 x 10(-6)) and rs3135718[G] (OR=1.43 (1.27-1.58), P=6 x 10(-6)). The latter two SNPs were in strong (r(2)=0.95) LD in our sample. Maximum likelihood analysis showed that the model, including rs7895676, only explains that the association is significantly (P<0.001) worse than any of the models, including either rs2981582 or rs3135718. Thus, in addition to the confirmation of association of FGFR2 with the BC risk in this new population, our study has suggested that rs7895676 is not likely to represent the causative variant.

Indexed as

Genetic Predisposition to DiseaseBreast NeoplasmsCase-Control StudiesFemaleHaplotypesHumansIntronsPolymorphism, Single NucleotideReceptor, Fibroblast Growth Factor, Type 2SiberiaFGFR2 protein, humanReceptor, Fibroblast Growth Factor, Type 2

Identifiers

PMID19536173
PMCPMC2987029
OpenAlexW2074509999

What OpenQuestion holds

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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.