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GWAS Study

Dyslipidemia, inflammation, calcification, and adiposity in aortic stenosis: a genome-wide study.

Yu Chen H, Dina C, Small AM et al.

37038246 PubMed ID
GWAS Study Type
744695 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

YC
Yu Chen H
DC
Dina C
SA
Small AM
SC
Shaffer CM
LR
Levinson RT
HA
Helgadóttir A
CR
Capoulade R
MH
Munter HM
MA
Martinsson A
CB
Cairns BJ
TL
Trudsø LC
HM
Hoekstra M
BH
Burr HA
MT
Marsh TW
DS
Damrauer SM
DL
Dufresne L
LS
Le Scouarnec S
MD
Messika-Zeitoun D
RD
Ranatunga DK
WR
Whitmer RA
BA
Bonnefond A
SG
Sveinbjornsson G
DR
Daníelsen R
AD
Arnar DO
TG
Thorgeirsson G
TU
Thorsteinsdottir U
GD
Gudbjartsson DF
HH
Hólm H
GJ
Ghouse J
OM
Olesen MS
CA
Christensen AH
MS
Mikkelsen S
JR
Jacobsen RL
DJ
Dowsett J
PO
Pedersen OBV
EC
Erikstrup C
OS
Ostrowski SR
OC
O'Donnell CJ
BM
Budoff MJ
GV
Gudnason V
PW
Post WS
RJ
Rotter JI
LM
Lathrop M
BH
Bundgaard H
JB
Johansson B
LJ
Ljungberg J
NU
Näslund U
LT
Le Tourneau T
SJ
Smith JG
WQ
Wells QS
SS
Söderberg S
SK
Stefánsson K
SJ
Schott JJ
RD
Rader DJ
CR
Clarke R
EJ
Engert JC
TG
Thanassoulis G
Chapter II

Abstract

Summary of the research findings

Aims: Although highly heritable, the genetic etiology of calcific aortic stenosis (AS) remains incompletely understood. The aim of this study was to discover novel genetic contributors to AS and to integrate functional, expression, and cross-phenotype data to identify mechanisms of AS.

13,765 European ancestry cases, 640,102 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

744695
Total Participants
GWAS
Study Type
Yes
Replicated
7,111 European ancestry cases, 83,717 European ancestry controls
Replication Participants
European
Ancestry
Sweden, U.S., U.K., France, Iceland
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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

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