Identification of a novel KCNQ1 mutation in a large Saudi family with long QT syndrome: clinical consequences and preventive implications

Congenital long QT syndrome (LQTS) is an inherited potentially fatal arrhythmogenic disorder that is characterized by prolonged corrected QT (QTc) interval. Mutations in three genes (KCNQ1, KCNH2, and SCN5A) account for the majority of the cases. However, 10 other genes are now known to be implicated in LQTS. In this work, we describe the clinical and molecular analysis in a large Saudi family with LQTS. Screening KCNQ1, KCNH2, and SCN5A genes in the proband, who presented with syncope, led to the identification of a heterozygous mutation (p.H258P) in KCNQ1. An extended clinical and genetic screening of the family identified 11 other members who were carriers for this mutation. All identified carriers had prolonged QTc intervals; yet, only two were symptomatic. Screening the family members for three LQTS modifiers (rs4657139 and rs16847548 in NOS1AP and KCNE1-D85N) did not reveal a correlation with symptoms or QTc intervals. The electrocardiographic and molecular analysis stratified seven carriers at high risk of a cardiac event as they had a QTc of ≥500 ms and were carriers of a KCNQ1 mutation. Our work illustrates the importance of extended family screening in LQTS to identify silent carriers and hence adopt the most appropriate therapeutic and preventive intervention.

Association of tumor necrosis factor-α and matrix metalloproteinase-3 gene variants with stroke

BACKGROUND AND PURPOSE

  There is increasing evidence that the genetic variation in the genes coding for pro-inflammatory markers and matrix metalloproteinase may play an important role in the pathogenesis of various human diseases including stroke. The aim of this study was to evaluate the association of genetic variants within the genes encoding tumor necrosis factor-α (TNF-α) and matrix metalloproteinase-3 (MMP-3), with stroke.

METHODS

  Five hundred and twenty-five ischemic stroke patients and 500 age- and sex-matched controls were included in this study. We analyzed +488 G/A polymorphism in TNF-α gene and -1612 5A/6A polymorphism in MMP-3 gene. The genotypes were determined by Amplification Refractory Mutation System PCR. The strength of association between genotypes and stroke was measured by the odds ratio with 95% confidence interval (CI) and chi-squared analysis.

RESULTS

  Allelic and genotypic frequencies of TNF-α G/A polymorphism differed significantly between patients and healthy controls (P < 0.001). A stepwise logistic regression analysis confirmed these findings (P < 0.001). Further, evaluating the association of this polymorphism with stroke subtypes, we found significant association with intracranial large artery atherosclerosis, extracranial large artery atherosclerosis, and stroke of undetermined etiology. As far as MMP-3-1612 5A/6A polymorphism is concerned, there was no significant difference in genotypic distribution and allelic frequency between the patients and healthy controls (P = 0.5 and 0.9, respectively). We tested the gene-gene interaction between TNF-α and MMP-3 genes using the logistic regression model. However, there was no evidence for a gene-gene interaction between TNF-α and MMP-3.

CONCLUSION

  TNF-α +488 G/A variant is an important risk factor for ischemic stroke in the South Indians from Andhra Pradesh, whereas MMP-3-1612 5A/6A polymorphism is not associated with stroke in the same population.