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GWAS Study

Genomic loci influence patterns of structural covariance in the human brain.

Wen J, Nasrallah IM, Abdulkadir A et al.

38127979 PubMed ID
GWAS Study Type
33541 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

WJ
Wen J
NI
Nasrallah IM
AA
Abdulkadir A
ST
Satterthwaite TD
YZ
Yang Z
EG
Erus G
RT
Robert-Fitzgerald T
SA
Singh A
SA
Sotiras A
BA
Boquet-Pujadas A
ME
Mamourian E
DJ
Doshi J
CY
Cui Y
SD
Srinivasan D
SI
Skampardoni I
CJ
Chen J
HG
Hwang G
BM
Bergman M
BJ
Bao J
VY
Veturi Y
ZZ
Zhou Z
YS
Yang S
DP
Dazzan P
KR
Kahn RS
SH
Schnack HG
ZM
Zanetti MV
ME
Meisenzahl E
BG
Busatto GF
CB
Crespo-Facorro B
PC
Pantelis C
WS
Wood SJ
ZC
Zhuo C
SR
Shinohara RT
GR
Gur RC
GR
Gur RE
KN
Koutsouleris N
WD
Wolf DH
SA
Saykin AJ
RM
Ritchie MD
SL
Shen L
TP
Thompson PM
CO
Colliot O
WK
Wittfeld K
GH
Grabe HJ
TD
Tosun D
BM
Bilgel M
AY
An Y
MD
Marcus DS
LP
LaMontagne P
HS
Heckbert SR
AT
Austin TR
LL
Launer LJ
EM
Espeland M
MC
Masters CL
MP
Maruff P
FJ
Fripp J
JS
Johnson SC
MJ
Morris JC
AM
Albert MS
BR
Bryan RN
RS
Resnick SM
FY
Fan Y
HM
Habes M
WD
Wolk D
SH
Shou H
DC
Davatzikos C
Chapter II

Abstract

Summary of the research findings

Normal and pathologic neurobiological processes influence brain morphology in coordinated ways that give rise to patterns of structural covariance (PSC) across brain regions and individuals during brain aging and diseases. The genetic underpinnings of these patterns remain largely unknown. We apply a stochastic multivariate factorization method to a diverse population of 50,699 individuals (12 studies and 130 sites) and derive data-driven, multi-scale PSCs of regional brain size. PSCs were significantly correlated with 915 genomic loci in the discovery set, 617 of which are newly identified, and 72% were independently replicated. Key pathways influencing PSCs involve reelin signaling, apoptosis, neurogenesis, and appendage development, while pathways of breast cancer indicate potential interplays between brain metastasis and PSCs associated with neurodegeneration and dementia. Using support vector machines, multi-scale PSCs effectively derive imaging signatures of several brain diseases. Our results elucidate genetic and biological underpinnings that influence structural covariance patterns in the human brain.

33,541 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

33541
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.K.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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