rs12448482 - ATXN2L
Magnitude 2.2 · 3 studies on file
Reported associations
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Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways - Unknown journal (n.d.) · Unknown authors · PubMed 36050321
ABSTRACT: 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 ce
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The Genetic Makeup of the Electrocardiogram - Unknown journal (n.d.) · Unknown authors · PubMed 32916098
ABSTRACT: SUMMARY The electrocardiogram (ECG) is one of the most useful non-invasive diagnostic tests for a wide array of cardiac disorders. Traditional approaches to analyzing ECGs focus on individual segments. Here, we performed comprehensive deep phenotyping of 77,190 ECGs in the UK Biobank across the complete cycle of cardiac conduction, resulting in 500 spatial-temporal datapoints, across 10 million genetic variants. In addition to characterizing polygenic risk scores for the traditional ECG segments, we identified over 300 genetic loci that are statistically associated with the high-dimensional representation of the ECG. We established the genetic ECG signature for dilated cardiomyopathy, associated the BAG3, HSPB7/CLCNKA, PRKCA, TMEM43, and OBSCN loci with disease risk and confirmed
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Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation - Unknown journal (n.d.) · Unknown authors · PubMed 40645996
ABSTRACT: Atrial fibrillation (AF) is a common cardiac arrhythmia with strong genetic components, yet its underlying molecular mechanisms and potential therapeutic targets remain incompletely understood. We conducted a cross-population genome-wide meta-analysis of 252,438 AF cases and identified 525 loci that met genome-wide significance. Two loci of PITX2 and ZFHX3 genes were identified as shared across populations of different ancestries. Comprehensive gene prioritization approaches reinforced the role of muscle development and heart contraction while also uncovering additional pathways, including cellular response to transforming growth factor-beta. Population-specific genetic correlations uncovered common and unique circulatory comorbidities between Europeans and Africans. Mendelian ra
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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Drug interactions
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QT-prolonging medication risks High
Genetic QT prolongation predisposition increases risk of serious arrhythmias when exposed to QT-prolonging drugs.
Ask physician to screen all medications for QT-prolonging potential
Screening
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arrhythmia symptoms High
Increased genetic susceptibility to both QT prolongation and atrial fibrillation warrants heightened clinical vigilance for arrhythmia symptoms.
Promptly report palpitations, syncope, dyspnea, or lightheadedness to your physician
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baseline EKG and QT interval measurement High
This SNP shows strong association with QT interval prolongation (GWAS p=2e-54) and atrial fibrillation (p=1e-19), markers of arrhythmia risk.
Obtain 12-lead EKG to measure baseline QT interval; repeat if risk factors change or symptoms develop