Evidence map›Paper›PMID 17634906›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2007

Polymorphisms in 33 inflammatory genes and risk of myocardial infarction--a system genetics approach.

Sandrine Barbaux, David-Alexandre Tregouet, Viviane Nicaud, Odette Poirier, Claire Perret, Tiphaine Godefroy, Carole Francomme, Christophe Combadiere, Dominique Arveiler, Gerald Luc and 7 more

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Article in Journal of molecular medicine (Berlin, Germany), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Common variation in genes related to innate immunity and risk of adult glioma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2009
    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

17 authors.

Sandrine BarbauxINSERM, UMR S 525, Paris 75634, France.
David-Alexandre Tregouet
Viviane Nicaud
Odette Poirier
Claire Perret
Tiphaine Godefroy
Carole Francomme
Christophe Combadiere
Dominique Arveiler
Gerald Luc
Jean-Bernard Ruidavets
Alun E Evans
Frank Kee
Caroline Morrison
Laurence Tiret
Stefan Martin Brand-Herrmann
François Cambien

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hypothesis of a causal link between inflammation and atherosclerosis would be strengthened if variants of inflammatory genes were associated with disease. Polymorphisms of 33 genes encoding inflammatory molecules were tested for association with myocardial infarction (MI). Patients with MI and a parental history of MI (n = 312) and controls from the UK (n = 317) were genotyped for 162 polymorphisms. Thirteen polymorphisms were associated with MI (P values ranging from 0.003 to 0.041). For three genes, ITGB1, SELP, and TNFRSF1B haplotype frequencies differed between patients and controls (P values < 0.01). We further assessed the simultaneous contribution of all polymorphisms and relevant covariates to MI using a two-step strategy of data mining relying on Random Forest and DICE algorithms. In a replication study involving two independent samples from the UK (n = 649) and France (n = 706), one interaction between the ITGA4/R898Q polymorphism and current smoking status was replicated. This study illustrates a strategy for assessing the joint effect of a large number of polymorphisms on a phenotype that may provide information that single locus or single gene analysis may fail to uncover. Overall, there was weak evidence for an implication of inflammatory polymorphisms on susceptibility to MI.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticAlgorithmsCase-Control StudiesFemaleGene FrequencyHaplotypesHumansInflammationMaleMiddle AgedMyocardial InfarctionOdds RatioReproducibility of ResultsSystems Biology

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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.