7 research outputs found

    TBC1D24 and non-syndromic autosomal dominant hearing loss: the identification of an additional Italo-American family carrying the p.(S178L) mutation

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    Hearing loss is the most common sensorineural disorder, affecting approximately 1:1000 new-borns. In developed countries, more than half of the cases of congenital hearing loss are due to genetic causes and both syndromic and non-syndromic forms may be recognized. Approximately 20% of the cases of nonsyndromic hearing loss are inherited according to an autosomal dominant pattern. Autosomal dominant hereditary hearing loss (ADHHL) is characterized by a wide genetic heterogeneity and by inter- and intrafamilial clinical variability, making genotype-phenotype correlations extremely complicated. Here we describe a large multi-generation Italo-American kindred affected by ADHHL. After a complete clinical evaluation and hearing function assessment through pure tone audiometry, the proband underwent a multiple-step genetic testing. Eventually, whole exome sequencing was performed on his and other selected family members’ DNA leading to the identification of a heterozygous missense variant in the TBC1D24 gene. Mutations in this gene have been associated with a variety of conditions that are inherited in an autosomal recessive pattern and that may or may not include hearing loss. Interestingly, the variant identified in our kindred is the only mutation in the TBC1D24 gene that has been associated with ADHHL in previous studies. Our case report confirms the role of the TBC1D24 gene and specifically of the p.(S178L) variant in the etiopathogenesis of ADHHL, underlining once again the clinical variability associated with variants in this gene

    Non-Syndromic Sensorineural Prelingual and Postlingual Hearing Loss due to COL11A1 Gene Mutation

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    This paper aims to present a third world case of Non-Syndromic sensorineural hearing loss (NSHL) due to a novel missense variant in COL11A1 gene, defined as DFNA37 non-syndromic hearing loss. The clinical features of a 6-year-old boy affected by a bilateral moderate to severe down-sloping sensorineural hearing loss are presented, as well as the genetic analysis, the latter identifying a heterozygous missense variation in the COL11A1 gene. In addition, in families with autosomal dominant transmission, COL11A1 gene should be considered in the genetic workup of the NSHL with prelingual onset

    Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

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    The QT interval is an electrocardiographic measure representing the sum of ventricular depolarization and repolarization, estimated by QRS duration and JT interval, respectively. QT interval abnormalities are associated with potentially fatal ventricular arrhythmia. Using genome-wide multi-ancestry analyses (>250,000 individuals) we identify 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identify associations with Mendelian disease genes. Enrichments are observed in established pathways for QT and JT, and previously unreported genes indicated in insulin-receptor signalling and cardiac energy metabolism. In contrast for QRS, connective tissue components and processes for cell growth and extracellular matrix interactions are significantly enriched. We demonstrate polygenic risk score associations with atrial fibrillation, conduction disease and sudden cardiac death. Prioritization of druggable genes highlight potential therapeutic targets for arrhythmia. Together, these results substantially advance our understanding of the genetic architecture of ventricular depolarization and repolarization

    Genetic analyses of the QT interval and its components in over 250K individuals identifies new loci and pathways affecting ventricular depolarization and repolarization

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    Regulator of G-Protein Signalling 9: A New Candidate Gene for Sweet Food Liking?

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    Genetics plays an important role in individual differences in food liking, which influences food choices and health. Sweet food liking is a complex trait and has been associated with increased body mass index (BMI) and related comorbidities. This genome-wide association study (GWAS) aimed to investigate the genetics of sweet food liking using two adult discovery cohorts (n = 1109, n = 373) and an independent replication cohort (n = 1073). In addition, we tested the association of our strongest result on parameters related to behaviour (food adventurousness (FA) and reward dependence (RD) and health status (BMI and blood glucose). The results demonstrate a novel strong association between the Regulator of G-Protein Signalling 9 (RGS9I) gene, strongest single nucleotide polymorphism (SNP) rs58931966 (p-value 7.05 × 10−9 in the combined sample of discovery and replication), and sweet food liking, with the minor allele (A) being associated with a decreased sweet food liking. We also found that the A allele of the rs58931966 SNP was associated with decreased FA and RD, and increased BMI and blood glucose (p-values < 0.05). Differences were highlighted in sex-specific analysis on BMI and glucose. Our results highlight a novel genetic association with food liking and are indicative of genetic variation influencing the psychological–biological drivers of food preference. If confirmed in other studies, such genetic associations could allow a greater understanding of chronic disease management from both a habitual dietary intake and reward-related perspective

    Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

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    The QT interval is an electrocardiographic measure representing the sum of ventricular depolarization and repolarization, estimated by QRS duration and JT interval, respectively. QT interval abnormalities are associated with potentially fatal ventricular arrhythmia. Using genome-wide multi-ancestry analyses (>250,000 individuals) we identify 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identify associations with Mendelian disease genes. Enrichments are observed in established pathways for QT and JT, and previously unreported genes indicated in insulin-receptor signalling and cardiac energy metabolism. In contrast for QRS, connective tissue components and processes for cell growth and extracellular matrix interactions are significantly enriched. We demonstrate polygenic risk score associations with atrial fibrillation, conduction disease and sudden cardiac death. Prioritization of druggable genes highlight potential therapeutic targets for arrhythmia. Together, these results substantially advance our understanding of the genetic architecture of ventricular depolarization and repolarization

    Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

    No full text
    The QT interval is an electrocardiographic measure representing the sum of ventricular depolarization and repolarization, estimated by QRS duration and JT interval, respectively. QT interval abnormalities are associated with potentially fatal ventricular arrhythmia. Using genome-wide multi-ancestry analyses (>250,000 individuals) we identify 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identify associations with Mendelian disease genes. Enrichments are observed in established pathways for QT and JT, and previously unreported genes indicated in insulin-receptor signalling and cardiac energy metabolism. In contrast for QRS, connective tissue components and processes for cell growth and extracellular matrix interactions are significantly enriched. We demonstrate polygenic risk score associations with atrial fibrillation, conduction disease and sudden cardiac death. Prioritization of druggable genes highlight potential therapeutic targets for arrhythmia. Together, these results substantially advance our understanding of the genetic architecture of ventricular depolarization and repolarization
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