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

BACKGROUND: Venous 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...

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Detalles Bibliográficos
Autores principales: Greliche, Nicolas, Germain, Marine, Lambert, Jean-Charles, Cohen, William, Bertrand, Marion, Dupuis, Anne-Marie, Letenneur, Luc, Lathrop, Mark, Amouyel, Philippe, Morange, Pierre-Emmanuel, Trégouët, David-Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3607886/
https://www.ncbi.nlm.nih.gov/pubmed/23509962
http://dx.doi.org/10.1186/1471-2350-14-36
Descripción
Sumario:BACKGROUND: Venous 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. METHODS: A 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. RESULTS: The 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. CONCLUSION: This 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.