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To Modify or Not to Modify: Allele-Specific Effects of 3'UTR- KCNQ1 Single Nucleotide Polymorphisms on Clinical Phenotype in a Long QT 1 Founder Population Segregating a Dominant-Negative Mutation.

Annika WinboUlla-Britt DiamantJohan PerssonSteen M JensenAnnika Rydberg
Published in: Journal of the American Heart Association (2022)
Background There are conflicting reports with regard to the allele-specific gene suppression effects of single nucleotide polymorphisms (SNPs) in the 3'untranslated region (3'UTR) of the KCNQ1 gene in long QT syndrome type 1 (LQT1) populations. Here we assess the allele-specific effects of 3 previously published 3'UTR- KCNQ1 's SNPs in a LQT1 founder population segregating a dominant-negative mutation. Methods and Results Bidirectional sequencing of the KCNQ1 ' s 3'UTR was performed in the p.Y111C founder population (n=232, 147 genotype positive), with a minor allele frequency of 0.1 for SNP1 (rs2519184) and 0.6 for linked SNP2 (rs8234) and SNP3 (rs107980). Allelic phase was assessed in trios aided by haplotype data, revealing a high prevalence of derived SNP2/3 in cis with p.Y111C (89%). Allele-specific association analyses, corrected using a relatedness matrix, were performed between 3'UTR- KCNQ1 SNP genotypes and clinical phenotypes. SNP1 in trans was associated with a significantly higher proportion of symptomatic phenotype compared with no derived SNP1 allele in trans (58% versus 32%, corrected P =0.027). SNP2/3 in cis was associated with a significantly lower proportion of symptomatic phenotype compared with no derived SNP2/3 allele in cis (32% versus 69%, corrected P =0.010). Conclusions Allele-specific modifying effects on symptomatic phenotype of 3'UTR- KCNQ1 SNPs rs2519184, rs8234, and rs107980 were seen in a LQT1 founder population segregating a dominant-negative mutation. The high prevalence of suppressive 3'UTR- KCNQ1 SNPs segregating with the founder mutation could contribute to the previously documented low incidence of cardiac events in heterozygous carriers of the p.Y111C KCNQ1 mutation.
Keyphrases
  • genome wide
  • dna methylation
  • copy number
  • high density
  • genetic diversity
  • gene expression
  • heart failure
  • left ventricular
  • big data
  • drug induced
  • artificial intelligence