JJ Kim
Multi-ancestry genome-wide association meta-analysis of Parkinson's disease
Kim, JJ; Vitale, D; Otani, DV; Lian, MM; Heilbron, K; Aslibekyan, S; Auton, A; Babalola, E; Bell, RK; Bielenberg, J; Bryc, K; Bullis, E; Cannon, P; Coker, D; Partida, GC; Dhamija, D; Das, S; Elson, SL; Eriksson, N; Filshtein, T; Fitch, A; Fletez-Brant, K; Fontanillas, P; Freyman, W; Granka, JM; Hernandez, A; Hicks, B; Hinds, DA; Jewett, EM; Jiang, YX; Kukar, K; Kwong, A; Lin, KH; Llamas, BA; Lowe, M; Mccreight, JC; Mcintyre, MH; Micheletti, SJ; Moreno, ME; Nandakumar, P; Nguyen, DT; Noblin, ES; O'Connell, J; Petrakovitz, AA; Poznik, GD; Reynoso, A; Schloetter, M; Schumacher, M; Shastri, AJ; Shelton, JF; Shi, JCZ; Shringarpure, S; Su, QJ; Tat, SA; Tchakoute, CT; Tran, V; Tung, JY; Wang, X; Wang, W; Weldon, CH; Wilton, P; Wong, CD; Iwaki, H; Lake, J; Solsberg, CW; Leonard, H; Makarious, MB; Tan, EK; Singleton, AB; Bandres-Ciga, S; Noyce, AJ; Gatto, EM; Kauffman, M; Khachatryan, S; Tavadyan, Z; Shepherd, CE; Hunter, J; Kumar, K; Ellis, M; Renteria, ME; Koks, S; Zimprich, A; Schumacher-Sch...
Authors
D Vitale
DV Otani
MM Lian
K Heilbron
S Aslibekyan
A Auton
E Babalola
RK Bell
J Bielenberg
K Bryc
E Bullis
P Cannon
D Coker
GC Partida
D Dhamija
S Das
SL Elson
N Eriksson
T Filshtein
A Fitch
K Fletez-Brant
P Fontanillas
W Freyman
JM Granka
A Hernandez
B Hicks
DA Hinds
EM Jewett
YX Jiang
K Kukar
A Kwong
KH Lin
BA Llamas
M Lowe
JC Mccreight
MH Mcintyre
SJ Micheletti
ME Moreno
P Nandakumar
DT Nguyen
ES Noblin
J O'Connell
AA Petrakovitz
GD Poznik
A Reynoso
M Schloetter
M Schumacher
AJ Shastri
JF Shelton
JCZ Shi
S Shringarpure
QJ Su
SA Tat
CT Tchakoute
V Tran
JY Tung
X Wang
W Wang
CH Weldon
P Wilton
CD Wong
H Iwaki
J Lake
CW Solsberg
H Leonard
MB Makarious
EK Tan
AB Singleton
S Bandres-Ciga
AJ Noyce
EM Gatto
M Kauffman
S Khachatryan
Z Tavadyan
CE Shepherd
J Hunter
K Kumar
M Ellis
ME Renteria
S Koks
A Zimprich
AF Schumacher-Schuh
C Rieder
PS Awad
V Tumas
S Camargos
EA Fon
O Monchi
T Fon
BP Galleguillos
M Miranda
ML Bustamante
P Olguin
P Chana
BS Tang
HF Shang
JF Guo
P Chan
W Luo
G Arboleda
J Orozc
MJ del Rio
A Hernandez
M Salama
WA Kamel
YZ Zewde
A Brice
JC Corvol
A Westenberger
A Illarionova
B Mollenhauer
C Klein
EJ Vollstedt
F Hopfner
G Hoeglinger
H Madoev
J Trinh
J Junker
K Lohmann
LM Lange
M Sharma
S Groppa
T Gasser
ZH Fang
A Akpalu
G Xiromerisiou
G Hadjigorgiou
I Dagklis
I Tarnanas
L Stefanis
M Stamelou
E Dadiotis
A Medina
GHF Chan
N Ip
NYF Cheung
PL Chan
XP Zhou
A Kishore
KP Divya
P Pal
PL Kukkle
R Rajan
R Borgohain
M Salari
A Quattrone
EM Valente
L Parnetti
M Avenali
T Schirinzi
M Funayama
N Hattori
T Shiraishi
A Karimova
G Kaishibayeva
C Shambetova
R Krueger
AH Tan
A Ahmad-Annuar
MI Norlinah
NAA Murad
S Azmin
SY Lim
W Mohamed
YW Tay
D Martinez-Ramirez
M Rodriguez-Violante
P Reyes-Perez
B Tserensodnom
R Ojha
TJ Anderson
TL Pitcher
A Sanyaolu
N Okubadejo
O Ojo
JO Aasly
L Pihlstrom
MNL Tan
S Ur-Rehman
D Veliz-Otani
M Cornejo-Olivas
ML Doquenia
R Rosales
A Vinuela
E Iakovenko
BA Mubarak
M Umair
F Amod
J Carr
S Bardien
B Jeon
YJ Kim
E Cubo
I Alvarez
J Hoenicka
K Beyer
MT Perinan
P Pastor
S El-Sadig
K Brolin
C Zweier
G Tinkhauser
P Krack
CH Lin
HC Wu
PJ Kung
RM Wu
YH Wu
R Amouri
SB Sassi
AN Basak
G Genc
OO Cakmak
S Ertan
A Martinez-Carrasco
A Schrag
A Schapira
C Carroll
C Bale
D Grosset
EJ Stafford
H Houlden
HR Morris
J Hardy
KY Mok
M Rizig
N Wood
O Okunoye
PA Lewis
R Kaiyrzhanov
R Weil
S Love
S Stott
S Jasaityte
S Dey
V Obese
A Espay
A O'Grady
AK Sobering
B Siddiqi
B Casey
B Fiske
C Jonas
C Cruchaga
CB Pantazis
C Comart
C Wegel
D Hall
D Hernandez
E Shiamim
E Riley
F Faghri
GE Serrano
HL Chen
IF Mata
IJK Sarmiento
J Williamson
J Jankovic
J Shulman
JC Solle
K Murphy
K Nuytemans
K Kieburtz
K Markopoulou
K Marek
KS Levine
LM Chahine
L Ibanez
L Screven
L Ruffrage
L Shulman
L Marsili
M Kuhl
M Dean
M Koretsky
MJ Puckelwartz
M Inca-Martinez
N Louie
NE Mencacci
R Albin
R Alcalay
R Walker
S Chowdhury
S Dumanis
S Lubbe
T Xie
T Foroud
T Beach
T Sherer
YJ Song
D Nguyen
T Nguyen
M Atadzhanov
C Blauwendraat
MA Nalls
JN Foo
I Mata
Abstract
Although over 90 independent risk variants have been identified for Parkinson's disease using genome-wide association studies, most studies have been performed in just one population at a time. Here we performed a large-scale multi-ancestry meta-analysis of Parkinson's disease with 49,049 cases, 18,785 proxy cases and 2,458,063 controls including individuals of European, East Asian, Latin American and African ancestry. In a meta-analysis, we identified 78 independent genome-wide significant loci, including 12 potentially novel loci (MTF2, PIK3CA, ADD1, SYBU, IRS2, USP8, PIGL, FASN, MYLK2, USP25, EP300 and PPP6R2) and fine-mapped 6 putative causal variants at 6 known PD loci. By combining our results with publicly available eQTL data, we identified 25 putative risk genes in these novel loci whose expression is associated with PD risk. This work lays the groundwork for future efforts aimed at identifying PD loci in non-European populations. Multi-ancestry genome-wide association analyses identify new risk loci for Parkinson's disease, and fine-mapping and co-localization analyses implicate candidate genes whose expression is associated with disease susceptibility.
Citation
Kim, J., Vitale, D., Otani, D., Lian, M., Heilbron, K., Aslibekyan, S., …Mata, I. (2023). Multi-ancestry genome-wide association meta-analysis of Parkinson's disease. Nature Genetics, https://doi.org/10.1038/s41588-023-01584-8
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 20, 2023 |
Online Publication Date | Dec 28, 2023 |
Publication Date | 2023 |
Deposit Date | Jan 26, 2024 |
Publicly Available Date | Jan 26, 2024 |
Print ISSN | 1061-4036 |
Electronic ISSN | 1546-1718 |
Publisher | Nature Research |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1038/s41588-023-01584-8 |
Keywords | MOLECULAR DIVERSITY; RISK LOCI; GENE; REGRESSION; PATHWAY; VARIANT; MOUSE |
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Multi-ancestry Genome-wide Association Meta-analysis Of Parkinson's Disease
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