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

Elinor Tzvi-Minker's 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 an automated algorithm and polygenic risk scores calculated from 169 SNPs. The dataset was last updated on April 23, 2026.

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 T-wave duration as a novel geometric marker of repolarization.
• Developing scalable frameworks for genotype-ECG phenotype relationships in inherited arrhythmia syndromes using quantitative ECG descriptors.
• Investigating rate-independent influences on repolarization dynamics using heart-rate corrected parameters.

Strengths

• Includes data from 273 LQT1 patients from a national registry, providing a focused cohort.
• 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

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small at 103.5 KB, indicating limited scope and likely summary-level data.
• Row count is unknown, which may limit suitability assessment for certain analyses.

Provenance

Source

figshare, author Elinor Tzvi-Minker.

Collection Method

Digital 12-lead ECGs analyzed from a German national registry of LQT1 patients.

Time Range

null

Freshness

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

Geography

Data sourced from a German national registry.