Abstract:Carriage frequencies of alleles and genotypes of theTGFB1 gene
polymorphous loci –509C>T (rs1800469), 869T>C (rs1982073), 915G>C
(rs1800471), which affect the level of cytokine TGF-β1 production, were
analyzed in the patients of Russian ethnic descent with myocardial infarction
(MI) (406 cases) and in the control group of the same ethnic descent (198
controls). Significant association with MI was observed in carriage frequencies
of the alleleTGFB1*–509T (p=0.046, OR
=1.45, 95% CI: 1.02-2.06), genotypes TGFB1*8… Show more
“…This is compelling evidence of validity of these associations, at least for the Russian population. It should be mentioned that earlier we described MI-associated genetic variants TGFB1 rs1982073 [ 24 ] and CRP rs1130864 [ 25 ] in the independent cohort of Moscow patients including individuals with the age at onset of more than 70 years (p f ≤0.05).…”
BackgroundIn spite of progress in cardiovascular genetics, data on genetic background of myocardial infarction are still limited and contradictory. This applies as well to the genes involved in inflammation and coagulation processes, which play a crucial role in the disease etiopathogenesis.Methods and ResultsIn this study we found genetic variants of TGFB1, FGB and CRP genes associated with myocardial infarction in discovery and replication groups of Russian descent from the Moscow region and the Republic of Bashkortostan (325/185 and 220/197 samples, correspondingly). We also found and replicated biallelic combinations of TGFB1 with FGB, TGFB1 with CRP and IFNG with PTGS1 genetic variants associated with myocardial infarction providing a detectable cumulative effect. We proposed an original two-component procedure for the analysis of nonlinear (epistatic) interactions between the genes in biallelic combinations and confirmed the epistasis hypothesis for the set of alleles of IFNG with PTGS. The procedure is applicable to any pair of logical variables, e.g. carriage of two sets of alleles. The composite model that included three single gene variants and the epistatic pair has AUC of 0.66 both in discovery and replication groups.ConclusionsThe genetic impact of TGFB1, FGB, CRP, IFNG, and PTGS and/or their biallelic combinations on myocardial infarction was found and replicated in Russians. Evidence of epistatic interactions between IFNG with PTGS genes was obtained both in discovery and replication groups.
“…This is compelling evidence of validity of these associations, at least for the Russian population. It should be mentioned that earlier we described MI-associated genetic variants TGFB1 rs1982073 [ 24 ] and CRP rs1130864 [ 25 ] in the independent cohort of Moscow patients including individuals with the age at onset of more than 70 years (p f ≤0.05).…”
BackgroundIn spite of progress in cardiovascular genetics, data on genetic background of myocardial infarction are still limited and contradictory. This applies as well to the genes involved in inflammation and coagulation processes, which play a crucial role in the disease etiopathogenesis.Methods and ResultsIn this study we found genetic variants of TGFB1, FGB and CRP genes associated with myocardial infarction in discovery and replication groups of Russian descent from the Moscow region and the Republic of Bashkortostan (325/185 and 220/197 samples, correspondingly). We also found and replicated biallelic combinations of TGFB1 with FGB, TGFB1 with CRP and IFNG with PTGS1 genetic variants associated with myocardial infarction providing a detectable cumulative effect. We proposed an original two-component procedure for the analysis of nonlinear (epistatic) interactions between the genes in biallelic combinations and confirmed the epistasis hypothesis for the set of alleles of IFNG with PTGS. The procedure is applicable to any pair of logical variables, e.g. carriage of two sets of alleles. The composite model that included three single gene variants and the epistatic pair has AUC of 0.66 both in discovery and replication groups.ConclusionsThe genetic impact of TGFB1, FGB, CRP, IFNG, and PTGS and/or their biallelic combinations on myocardial infarction was found and replicated in Russians. Evidence of epistatic interactions between IFNG with PTGS genes was obtained both in discovery and replication groups.
“…In addition, they showed -913G/C polymorphism was related to the increased levels of TGF-β1 gene and protein in MI patients [17]. Barsova et al [15] from Russia also explored the association between this SNP and MI risk in a population with 406 cases and 198 controls. They replicated the positive findings of the Iranian study [17], and showed -913G/C polymorphism was a risk factor for MI patients [15].…”
Section: Discussionmentioning
confidence: 99%
“…Barsova et al [15] from Russia also explored the association between this SNP and MI risk in a population with 406 cases and 198 controls. They replicated the positive findings of the Iranian study [17], and showed -913G/C polymorphism was a risk factor for MI patients [15]. However, Chen et al [23] from England revealed that TGF-β1 -913G/C polymorphism was not the risk of ischemic heart disease and MI in patients with rheumatoid arthritis.…”
Section: Discussionmentioning
confidence: 99%
“…TGF-β1 -913G/C polymorphism was associated with TGF-β1 protein production in peripheral blood leukocytes [14]. Several studies [15–17] have explored the relationship between TGF-β1 rs1800471 polymorphism and MI risk; however, they yielded conflicting findings. A German study found -913G/C polymorphism was not associated with the risk of MI [16], while other studies showed -913G/C polymorphism was related to increased risk for MI [15,17].…”
Section: Introductionmentioning
confidence: 99%
“…Several studies [15–17] have explored the relationship between TGF-β1 rs1800471 polymorphism and MI risk; however, they yielded conflicting findings. A German study found -913G/C polymorphism was not associated with the risk of MI [16], while other studies showed -913G/C polymorphism was related to increased risk for MI [15,17]. Up to date, no studies from China investigated the relationship between TGF-β1 -913G/C polymorphism and MI susceptibility.…”
Transforming growth factor (TGF)-β1 contributed to angiotensin II (Ang II)-mediated collagen accumulation after myocardial infarction (MI). The present study aimed to investigate the association of genetic variant of TGF-β1 gene with the risk of MI. The present study recruited a total of 530 MI patients and 651 healthy controls. The genomic DNA was extracted and subjected into polymerase chain reaction (PCR) and Sanger sequencing. The present study indicated that TGF-β1 -913G/C polymorphism was associated with increased risk for MI under the co-dominant, dominant and allelic models. The increased risk effect was also evident among the females, younger subjects (age < 60 years), smokers, non-drinkers and individuals with hypertension. Additionally, the present study observed significant differences among cases and controls in terms of total cholesterol (TC). In conclusion, TGF-β1 -913G/C polymorphism is associated with increased risk for MI. TGF-β1 -913G/C polymorphism may be a potential prognostic biomarker for MI.
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