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GWAS Study

Genetic architecture of cerebrospinal fluid and brain metabolite levels and the genetic colocalization of metabolites with human traits.

Wang C, Yang C, Western D et al.

39528826 PubMed ID
GWAS Study Type
611 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

WC
Wang C
YC
Yang C
WD
Western D
AM
Ali M
WY
Wang Y
PC
Phuah CL
BJ
Budde J
WL
Wang L
GP
Gorijala P
TJ
Timsina J
RA
Ruiz A
PP
Pastor P
FM
Fernandez MV
PD
Panyard DJ
EC
Engelman CD
DY
Deming Y
BM
Boada M
CA
Cano A
GP
Garcia-Gonzalez P
GN
Graff-Radford NR
MH
Mori H
LJ
Lee JH
PR
Perrin RJ
IL
Ibanez L
SY
Sung YJ
CC
Cruchaga C
Chapter II

Abstract

Summary of the research findings

Brain metabolism perturbation can contribute to traits and diseases. We conducted a genome-wide association study for cerebrospinal fluid (CSF) and brain metabolite levels, identifying 205 independent associations (47.3% new signals, containing 11 new loci) for 139 CSF metabolites, and 32 independent associations (43.8% new signals, containing 4 new loci) for 31 brain metabolites. Of these, 96.9% (CSF) and 71.4% (brain) of the new signals belonged to previously analyzed metabolites in blood or urine. We integrated the metabolite quantitative trait loci (MQTLs) with 23 neurological, psychiatric and common human traits and diseases through colocalization to identify metabolites and biological processes implicated in these phenotypes. Combining CSF and brain, we identified 71 metabolite-trait associations, such as glycerophosphocholines with Alzheimer's disease, O-sulfo-L-tyrosine with Parkinson's disease, glycine, xanthine with waist-to-hip ratio and ergothioneine with inflammatory bowel disease. Our study expanded the knowledge of MQTLs in the central nervous system, providing insights into human traits.

611 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

611
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.S., Spain
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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