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GWAS Study

Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies known and novel cross-population and ancestry-specific associations as novel risk loci for Alzheimer's disease.

Rajabli F, Benchek P, Tosto G et al.

40676597 PubMed ID
GWAS Study Type
37382 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

RF
Rajabli F
BP
Benchek P
TG
Tosto G
KN
Kushch N
SJ
Sha J
BK
Bazemore K
ZC
Zhu C
LW
Lee WP
HJ
Haut J
HK
Hamilton-Nelson KL
WN
Wheeler NR
ZY
Zhao Y
FJ
Farrell JJ
GM
Grunin MA
LY
Leung YY
KP
Kuksa PP
LD
Li D
DF
da Fonseca EL
MJ
Mez JB
PE
Palmer EL
PJ
Pillai J
SR
Sherva RM
SY
Song YE
ZX
Zhang X
IT
Ikeuchi T
IT
Iqbal T
PO
Pathak O
VO
Valladares O
RD
Reyes-Dumeyer D
KA
Kuzma AB
AE
Abner E
AL
Adams LD
AP
Adams PM
AA
Aguirre A
AM
Albert MS
AR
Albin RL
AM
Allen M
AL
Alvarez L
AL
Apostolova LG
AS
Arnold SE
AS
Asthana S
AC
Atwood CS
AS
Auerbach S
AG
Ayres G
BC
Baldwin CT
BR
Barber RC
BL
Barnes LL
BS
Barral S
BT
Beach TG
BJ
Becker JT
BG
Beecham GW
BD
Beekly D
BB
Benitez BA
BD
Bennett D
BJ
Bertelson J
BT
Bird TD
BD
Blacker D
BB
Boeve BF
BJ
Bowen JD
BA
Boxer A
BJ
Brewer J
BJ
Burke JR
BJ
Burns JM
BJ
Buxbaum JD
CN
Cairns NJ
CL
Cantwell LB
CC
Cao C
CC
Carlson CS
CC
Carlsson CM
CR
Carney RM
CM
Carrasquillo MM
CS
Chasse S
CM
Chesselet MF
CN
Chin NA
CH
Chui HC
CJ
Chung J
CS
Craft S
CP
Crane PK
CD
Cribbs DH
CE
Crocco EA
CC
Cruchaga C
CM
Cuccaro ML
CM
Cullum M
DE
Darby E
DB
Davis B
DJ
De Jager PL
DC
DeCarli C
DJ
DeToledo J
DM
Dick M
DD
Dickson DW
DB
Dombroski BA
DR
Doody RS
DR
Duara R
EN
Ertekin-Taner N
ED
Evans DA
FK
Faber KM
FT
Fairchild TJ
FK
Fallon KB
FD
Fardo DW
FM
Farlow MR
FV
Fernandez-Hernandez V
FS
Ferris S
FR
Friedland RP
FT
Foroud TM
FM
Frosch MP
FB
Fulton-Howard B
GD
Galasko DR
GA
Gamboa A
GM
Gearing M
GD
Geschwind DH
GB
Ghetti B
GJ
Gilbert JR
GR
Go RCP
GA
Goate AM
GT
Grabowski TJ
GN
Graff-Radford NR
GR
Green RC
GJ
Growdon JH
HH
Hakonarson H
HJ
Hall J
HR
Hamilton RL
HO
Harari O
HJ
Hardy J
HL
Harrell LE
HE
Head E
HV
Henderson VW
HM
Hernandez M
HT
Hohman T
HL
Honig LS
HR
Huebinger RM
HM
Huentelman MJ
HC
Hulette CM
HB
Hyman BT
HL
Hynan LS
IL
Ibanez L
JG
Jarvik GP
JS
Jayadev S
JL
Jin LW
JK
Johnson K
JL
Johnson L
KM
Kamboh MI
KA
Karydas AM
KM
Katz MJ
KJ
Kauwe JS
KJ
Kaye JA
KC
Keene CD
KA
Khaleeq A
KM
Kikuchi M
KR
Kim R
KJ
Knebl J
KN
Kowall NW
KJ
Kramer JH
KW
Kukull WA
LF
LaFerla FM
LJ
Lah JJ
LE
Larson EB
LA
Lerner A
LJ
Leverenz JB
LA
Levey AI
LA
Lieberman AP
LR
Lipton RB
LM
Logue M
LO
Lopez OL
LK
Lunetta KL
LC
Lyketsos CG
MD
Mains D
MF
Margaret FE
MD
Marson DC
ME
Martin ER
MF
Martiniuk F
MD
Mash DC
ME
Masliah E
MP
Massman P
MA
Masurkar A
MW
McCormick WC
MS
McCurry SM
MA
McDavid AN
MS
McDonough S
MA
McKee AC
MM
Mesulam M
MB
Miller BL
MC
Miller CA
MJ
Miller JW
MT
Montine TJ
ME
Monuki ES
MJ
Morris JC
MS
Mukherjee S
MA
Myers AJ
NT
Nguyen T
OT
Obisesan T
OS
O'Bryant S
OJ
Olichney JM
OM
Ory M
PR
Palmer R
PJ
Parisi JE
PH
Paulson HL
PV
Pavlik V
PD
Paydarfar D
PV
Perez V
PE
Peskind E
PR
Petersen RC
PH
Petrovitch H
PA
Pierce A
PM
Polk M
PW
Poon WW
PH
Potter H
QL
Qu L
QM
Quiceno M
QJ
Quinn JF
RA
Raj A
RM
Raskind M
RE
Reiman EM
RB
Reisberg B
RJ
Reisch JS
RJ
Ringman JM
RE
Roberson ED
RM
Rodriguear M
RE
Rogaeva E
RH
Rosen HJ
RR
Rosenberg RN
RD
Royall DR
SM
Sabbagh M
SA
Sadovnick AD
SM
Sager MA
SM
Sano M
SA
Saykin AJ
SJ
Schneider JA
SL
Schneider LS
SW
Seeley WW
SS
Slifer SH
SS
Small S
SA
Smith AG
SJ
Smith JP
SJ
Sonnen JA
SS
Spina S
GP
George-Hyslop PS
ST
Starks TD
SR
Stern RA
SA
Stevens AB
SS
Strittmatter SM
SD
Sultzer D
SR
Swerdlow RH
TR
Tanzi RE
TJ
Tilson JL
TJ
Trojanowski JQ
TJ
Troncoso JC
TM
Tsolaki M
TD
Tsuang DW
VD
Van Deerlin VM
VE
van Eldik LJ
VJ
Vance JM
VB
Vardarajan BN
VR
Vassar R
VH
Vinters HV
VJ
Vonsattel JP
WS
Weintraub S
WK
Welsh-Bohmer KA
WP
Whitehead PL
WE
Wijsman EM
WK
Wilhelmsen KC
WB
Williams B
WJ
Williamson J
WH
Wilms H
WT
Wingo TS
WT
Wisniewski T
WR
Woltjer RL
WM
Woon M
WC
Wright CB
WC
Wu CK
YS
Younkin SG
YC
Yu CE
YL
Yu L
ZX
Zhu X
KB
Kunkle BW
BW
Bush WS
MA
Miyashita A
BG
Byrd GS
WL
Wang LS
FL
Farrer LA
HJ
Haines JL
MR
Mayeux R
PM
Pericak-Vance MA
SG
Schellenberg GD
JG
Jun GR
RC
Reitz C
NA
Naj AC
Chapter II

Abstract

Summary of the research findings

Limited ancestral diversity has impaired our ability to detect risk variants more prevalent in ancestry groups of predominantly non-European ancestral background in genome-wide association studies (GWAS). We construct and analyze a multi-ancestry GWAS dataset in the Alzheimer's Disease Genetics Consortium (ADGC) to test for novel shared and population-specific late-onset Alzheimer's disease (LOAD) susceptibility loci and evaluate underlying genetic architecture in 37,382 non-Hispanic White (NHW), 6728 African American, 8899 Hispanic (HIS), and 3232 East Asian individuals, performing within ancestry fixed-effects meta-analysis followed by a cross-ancestry random-effects meta-analysis.

17,839 European ancestry cases, 19,543 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

37382
Total Participants
GWAS
Study Type
No
Replicated
European, African American or Afro-Caribbean, Hispanic or Latin American, East Asian
Ancestry
Greece, Canada, U.S., Germany, Puerto Rico, Dominican Republic
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

Important Disclaimer: This review has been performed semi-automatically and is provided for informational purposes only. While we strive for accuracy, this analysis may contain errors, omissions, or misinterpretations of the original research. DNA Genics disclaims all liability for any inaccuracies, errors, or consequences arising from the use of this information. Users should independently verify all information and consult original research publications before making any decisions based on this content. This analysis is not intended as a substitute for professional scientific review or medical advice.

Analysis In Progress

Our analysis of this publication is currently being prepared. Please check back soon for comprehensive insights into the health and genetic findings discussed in this research.