Expressive

rs11748963 - PROB1

Magnitude 2.2 · 3 studies on file

Reported associations

  • Genome-wide analysis of heart failure yields insights into disease heterogeneity and enables prognostic prediction in the Japanese population - Unknown journal (n.d.) · Unknown authors · PubMed 41184235

    ABSTRACT: To understand the genetic basis of heart failure (HF) in the Japanese population, we performed genome-wide association studies (GWASs) comprising 16,251 all-cause HF cases, 4254 HF with reduced ejection fraction (HFrEF) cases, 7154 HF with preserved ejection fraction cases, and 11,122 non-ischemic HF cases among 213,828 individuals and identified five novel loci. A subsequent cross-ancestry meta-analysis and multi-trait analysis of the GWAS data identified 19 novel loci in total, with 31 out of the 76 genome-wide significant loci associated with HFrEF despite its smaller sample size. Among these susceptibility loci, a common non-coding variant in TTN (rs1484116) was associated with reduced cardiac function and worse long-term mortality. We leveraged the HF meta-GWASs along with c

  • 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

  • Large-scale genome-wide association analyses identify novel genetic loci and mechanisms in hypertrophic cardiomyopathy - Unknown journal (n.d.) · Unknown authors · PubMed 39966646

    ABSTRACT: Hypertrophic cardiomyopathy (HCM) is an important cause of morbidity and mortality with both monogenic and polygenic components. Here, we report results from a large genome-wide association study and multitrait analysis including 5,900 HCM cases, 68,359 controls and 36,083 UK Biobank participants with cardiac magnetic resonance imaging. We identified 70 loci (50 novel) associated with HCM and 62 loci (20 novel) associated with relevant left ventricular traits. Among the prioritized genes in the HCM loci, we identify a novel HCM disease gene, SVIL, which encodes the actin-binding protein supervillin, showing that rare truncating SVIL variants confer a roughly tenfold increased risk of HCM. Mendelian randomization analyses support a causal role of increased left ventricular contrac

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