2016
DOI: 10.1371/journal.pone.0146922
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Genetic Determinants of Thrombin Generation and Their Relation to Venous Thrombosis: Results from the GAIT-2 Project

Abstract: BackgroundVenous thromboembolism (VTE) is a common disease where known genetic risk factors explain only a small portion of the genetic variance. Then, the analysis of intermediate phenotypes, such as thrombin generation assay, can be used to identify novel genetic risk factors that contribute to VTE.ObjectivesTo investigate the genetic basis of distinct quantitative phenotypes of thrombin generation and its relationship to the risk of VTE.Patients/MethodsLag time, thrombin peak and endogenous thrombin potenti… Show more

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Cited by 22 publications
(29 citation statements)
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“…TG measures the overall net effect of anticoagulant drugs and native pro-and anticoagulants on the capacity to generate thrombin. It is a parameter increasingly linked to the development of VTE and has the potential to overcome the shortcomings of coagulation assays PT and APTT [14][15][16]. Anticoagulant effects were measured over a broad time period with 30-day follow-up.…”
Section: Introductionmentioning
confidence: 99%
“…TG measures the overall net effect of anticoagulant drugs and native pro-and anticoagulants on the capacity to generate thrombin. It is a parameter increasingly linked to the development of VTE and has the potential to overcome the shortcomings of coagulation assays PT and APTT [14][15][16]. Anticoagulant effects were measured over a broad time period with 30-day follow-up.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, plasminogen deficiency could not be ruled out as an additional risk factor. It is noteworthy that thromboembolism is a common disease with more than 60% of the variation due to genetic risk factors2223. However, genetic scores explain only 15% of the variance15, so there is still a “missing heritability” that might have hampered the discrimination of plasminogen deficiency as an additional risk factor of thrombotic disease.…”
Section: Discussionmentioning
confidence: 99%
“…The samples were genotyped with a combination of two chips, that resulted in 395,556 single-nucleotide polymorphisms (SNPs) after merging the data. We performed the same quality control pre-processing steps as in the original study [14]: phenotypic values were log-transformed; two fixed effects, age and gender, and two random effects, genetic additive and shared house-hold, were included in the model; individuals with missing phenotype values were removed and all genotypes with a minimum allele frequency below 1% were filtered out, leaving 263,764 genotyped SNPs in 903 individuals available for GWAS. We compared the performances between our package and SOLAR [2,21], one of the standard tool in family-based QTL mapping analysis.…”
Section: Analysis Of the Gait2 Datamentioning
confidence: 99%
“…The sample from the Genetic Analysis of Idiopathic Thrombophilia 2 (GAIT2) project consisted of 935 individuals from 35 extended families, recruited through a proband with idiopathic thrombophilia [10]. We conducted a genome-wide screening of activated partial thromboplastin time (APTT), which is a clinical test used to screen for coagulation-factor deficiencies [17].…”
Section: Analysis Of the Gait2 Datamentioning
confidence: 99%