Polygenic Risk and ECG Phenotyping in 273 Congenital Long-QT Syndrome Type 1 Patients

Elinor Tzvi-Minker's research dataset from a German national registry contains digital 12-lead ECG data for 273 patients with congenital long-QT syndrome type 1 (LQT1). The data includes 60 quantitative descriptors of myocardial repolarization derived via automated analysis and polygenic risk scores calculated from 169 SNPs. The dataset was last updated on 2026-04 23.

Use Cases

• Modeling the association between polygenic risk scores and QTc interval duration based on the described regression analysis.
• Analyzing the interaction between T-wave area and duration as a novel geometric marker of repolarization.
• Developing scalable frameworks for digital ECG phenotyping in inherited arrhythmia syndromes as suggested in the conclusions.

Strengths

• Includes data from 273 LQT1 patients from a national registry.
• Derives 60 quantitative ECG descriptors using a validated, automated analysis algorithm.
• Polygenic risk scores are calculated from 169 genome-wide SNPs known to affect QT interval.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (459.5 KB), indicating limited scope.

Provenance

Source

German national registry of LQT1 patients.

Collection Method

Digital 12-lead ECGs analyzed with an automated algorithm; polygenic risk scores calculated from SNP data.

Time Range

null

Freshness

Last updated 2026-04-23 04:20:31; freshness should be verified.

Geography

Germany (implied by national registry).