Evidence map›Paper›PMID 26662939›Full record

ArticleMolecular biology reports2016

Genotype/allelic combinations as potential predictors of myocardial infarction.

Timur R Nasibullin, Yanina R Timasheva, Regina I Sadikova, Ilsiyar A Tuktarova, Vera V Erdman, Irina E Nikolaeva, Jan Sabo, Peter Kruzliak, Olga E Mustafina

Abstract read
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In one paragraph

Article in Molecular biology reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
1.2field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  4. Promoter Polymorphism (-174, G/C) of Interleukin-6 and Arterial Thromboembolic Events: A Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2016
    Pooled it
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  14. Associations of VCAM-1 gene polymorphisms with obesity and inflammation markers.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2017
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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.

Timur R NasibullinInstitute of Biochemistry and Genetics, Ufa Scientific Centre, Russian Academy of Sciences, Ufa, Russian Federation.
Yanina R TimashevaInstitute of Biochemistry and Genetics, Ufa Scientific Centre, Russian Academy of Sciences, Ufa, Russian Federation.
Regina I SadikovaInstitute of Biochemistry and Genetics, Ufa Scientific Centre, Russian Academy of Sciences, Ufa, Russian Federation.
Ilsiyar A TuktarovaInstitute of Biochemistry and Genetics, Ufa Scientific Centre, Russian Academy of Sciences, Ufa, Russian Federation.
Vera V ErdmanInstitute of Biochemistry and Genetics, Ufa Scientific Centre, Russian Academy of Sciences, Ufa, Russian Federation.
Irina E NikolaevaRepublic Centre for Cardiology, Ufa, Russian Federation.
Jan SaboDepartment of Medical Physics and Biophysics, Faculty of Medicine, Pavol Jozef Safarik University, Trieda SNP 1, 040 11, Kosice, Slovak Republic.
Peter KruzliakDepartment of Medical Physics and Biophysics, Faculty of Medicine, Pavol Jozef Safarik University, Trieda SNP 1, 040 11, Kosice, Slovak Republic. peter.kruzliak@savba.sk.
Olga E MustafinaInstitute of Biochemistry and Genetics, Ufa Scientific Centre, Russian Academy of Sciences, Ufa, Russian Federation.
Institute of Biochemistry and Genetics of Ufa Scientific Centre · RURussian Academy of Sciences · RUUniversity of Pavol Jozef Šafárik · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to find new informative predictors of myocardial infarction, we performed an analysis of genotype frequencies of polymorphic markers of SELE (rs2076059, 3832T > C), SELP (rs6131, S290 N), SELL (rs1131498, F206L), ICAM1 (rs5498, K469E), VCAM1 (rs3917010, c.928 + 420A > C), PECAM1 (rs668, V125L), VEGFA (rs35569394, -2549(18)I/D), CCL2 (rs1024611, -2518A > G), NOS3 (rs1799983, E298D), and DDAH1 (rs669173, c.303 + 30998A > G) genes in the group of Russian men with myocardial infarction (N = 315) and the control group of corresponding ethnicity, gender, and age (N = 286). Using Markov chain Monte-Carlo method (APSampler), we found genotype combinations associated with increased and decreased risk of myocardial infarction. The most significant associations were detected for PECAM1*V/V + DDAH1*C (OR = 4.17 CI 1.56-11.15 Pperm = 0.005) SELE*C + VEGFA*I + CCL2*G + VCAM1*A + NOS3*D (OR = 2.74 CI 1.66-4.52 Pperm = 2.09 × 10(-5)), and VEGFA*D/D + CCL2*A + DDAH1*C (OR = 0.44 CI 0.28-0.7 Pperm = 7.89 × 10(-5)) genotype combinations.

Indexed as

AdultAmidohydrolasesCase-Control StudiesGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGenetic TestingHumansMaleMiddle AgedMyocardial InfarctionPlatelet Endothelial Cell Adhesion Molecule-1Polymorphism, Single NucleotideRussiaAmidohydrolasesdimethylargininasePlatelet Endothelial Cell Adhesion Molecule-1Genetic testingMyocardial infarctionRisk prediction

Identifiers

PMID26662939
OpenAlexW2190570204

What OpenQuestion holds

Textmetadata
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.