Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits
Genome-wide association studies (GWAS) of quantitative electrocardiographic (ECG) traits in large consortia have identified more than 130 loci associated with QT interval, QRS duration, PR interval, and heart rate (RR interval). In the current study, we meta-analyzed genome-wide association results...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/24006
- Acceso en línea:
- https://doi.org/10.1038/s41431-018-0295-z
https://repository.urosario.edu.co/handle/10336/24006
- Palabra clave:
- Allele
Article
Cohort analysis
Computer model
Dutchman
Electrocardiogram
Exon
Follow up
Gene frequency
Gene locus
Gene mapping
Genome
Genome-wide association study
Genotype
Heart rate
Human
Major clinical study
Meta analysis
Netherlands
Priority journal
Qrs interval
Qt interval
Quantitative trait
Rr interval
Sample
Single nucleotide polymorphism
- Rights
- License
- Abierto (Texto Completo)