Evidence map›Paper›PMID 23509962›Full record

SynthesisBMC medical genetics2013

A genome-wide search for common SNP x SNP interactions on the risk of venous thrombosis.

Nicolas Greliche, Marine Germain, Jean-Charles Lambert, William Cohen, Marion Bertrand, Anne-Marie Dupuis, Luc Letenneur, Mark Lathrop, Philippe Amouyel, Pierre-Emmanuel Morange and 1 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC medical genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

  1. Detecting Interactions in High-Dimensional Data Using Cross Leverage Scores.Biometrical journal. Biometrische Zeitschrift · 2024
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  5. Donor genetic variants as risk factors for thrombosis after liver transplantation: A genome-wide association study.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2021
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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

11 authors at 7 institutions in 1 country.

Nicolas GrelicheINSERM, UMR_S 937; Institute of Cardiometabolism And Nutrition (ICAN), Université Pierre et Marie Curie Paris 6, Paris F-75013, France.
Marine Germain
Jean-Charles Lambert
William Cohen
Marion Bertrand
Anne-Marie Dupuis
Luc Letenneur
Mark Lathrop
Philippe Amouyel
Pierre-Emmanuel Morange
David-Alexandre Trégouët
Inserm · FRSorbonne Université · FRAix-Marseille Université · FRCentre Hospitalier Universitaire de Lille · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRFondation pour l’innovation en Cadiométabolisme et Nutrition · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVenous Thrombosis (VT) is a common multifactorial disease with an estimated heritability between 35% and 60%. Known genetic polymorphisms identified so far only explain ~5% of the genetic variance of the disease. This study was aimed to investigate whether pair-wise interactions between common single nucleotide polymorphisms (SNPs) could exist and modulate the risk of VT.

methodsA genome-wide SNP x SNP interaction analysis on VT risk was conducted in a French case-control study and the most significant findings were tested for replication in a second independent French case-control sample. The results obtained in the two studies totaling 1,953 cases and 2,338 healthy subjects were combined into a meta-analysis.

resultsThe smallest observed p-value for interaction was p = 6.00 10(-11) but it did not pass the Bonferroni significance threshold of 1.69 10(-12) correcting for the number of investigated interactions that was 2.96 10(10). Among the 37 suggestive pair-wise interactions with p-value less than 10(-8), one was further shown to involve two SNPs, rs9804128 (IGFS21 locus) and rs4784379 (IRX3 locus) that demonstrated significant interactive effects (p = 4.83 10(-5)) on the variability of plasma Factor VIII levels, a quantitative biomarker of VT risk, in a sample of 1,091 VT patients.

conclusionThis study, the first genome-wide SNP interaction analysis conducted so far on VT risk, suggests that common SNPs are unlikely exerting strong interactive effects on the risk of disease.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAgedCase-Control StudiesEpistasis, GeneticFactor VIIIFemaleFranceGenome-Wide Association StudyHomeodomain ProteinsHumansMaleMiddle AgedOdds RatioTranscription FactorsFactor VIIIHomeodomain ProteinsIRX3 protein, humanTranscription Factors

Identifiers

PMID23509962
PMCPMC3607886
OpenAlexW2164715716

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.