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Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits

Abstract:

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 from 30,000 mostly Dutch samples on four ECG traits: PR interval, QRS duration, QT interval, and RR interval. SNP genotype data was imputed using the Genome of the Netherlands reference panel encom...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41431-018-0295-z

Authors


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Role:
Author
ORCID:
0000-0002-4934-7510
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Role:
Author
ORCID:
0000-0002-4303-7685
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Role:
Author
ORCID:
0000-0002-1108-0371
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Name:
Department of Health
Grant:
NF-SI-0617-10154
Publisher:
Springer Nature
Journal:
European Journal of Human Genetics More from this journal
Volume:
27
Issue:
6
Pages:
952-962
Publication date:
2019-01-24
Acceptance date:
2018-10-16
DOI:
EISSN:
1476-5438
ISSN:
1018-4813
Pmid:
30679814
Language:
English
Keywords:
Pubs id:
pubs:972345
UUID:
uuid:68dac159-0585-4ff6-8737-144896e41180
Local pid:
pubs:972345
Source identifiers:
972345
Deposit date:
2019-06-05

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