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GWAS Study

Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis.

Choi SH, Jurgens SJ, Haggerty CM et al.

34319147 PubMed ID
GWAS Study Type
27967 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

CS
Choi SH
JS
Jurgens SJ
HC
Haggerty CM
HA
Hall AW
HJ
Halford JL
MV
Morrill VN
WL
Weng LC
LB
Lagerman B
MT
Mirshahi T
PM
Pettinger M
GX
Guo X
LH
Lin HJ
AA
Alonso A
SE
Soliman EZ
KJ
Kornej J
LH
Lin H
MA
Moscati A
NG
Nadkarni GN
BJ
Brody JA
WK
Wiggins KL
CB
Cade BE
LJ
Lee J
AC
Austin-Tse C
BT
Blackwell T
CM
Chaffin MD
LC
Lee CJ
RH
Rehm HL
RC
Roselli C
RS
Redline S
MB
Mitchell BD
SN
Sotoodehnia N
PB
Psaty BM
HS
Heckbert SR
LR
Loos RJF
VR
Vasan RS
BE
Benjamin EJ
CA
Correa A
BE
Boerwinkle E
AD
Arking DE
RJ
Rotter JI
RS
Rich SS
WE
Whitsel EA
PM
Perez M
KC
Kooperberg C
FB
Fornwalt BK
LK
Lunetta KL
EP
Ellinor PT
LS
Lubitz SA
Chapter II

Abstract

Summary of the research findings

Alterations in electrocardiographic (ECG) intervals are well-known markers for arrhythmia and sudden cardiac death (SCD) risk. While the genetics of arrhythmia syndromes have been studied, relations between electrocardiographic intervals and rare genetic variation at a population level are poorly understood.

5,034 African American individuals, 615 admixed American individuals, 17,777 European ancestry individuals, 727 East Asian ancestry individuals, 56 South Asian ancestry individuals, 3,758 individuals

Chapter III

Study Statistics

Key metrics and study information

27967
Total Participants
GWAS
Study Type
Yes
Replicated
29,629 European or unknown ancestry individuals
Replication Participants
African American or Afro-Caribbean, Hispanic or Latin American, European, East Asian, South Asian, NR
Ancestry
U.S., U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of health and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

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