Menu
Currency
GWAS Study

Quantitative trait loci mapping of circulating metabolites in cerebrospinal fluid to uncover biological mechanisms involved in brain-related phenotypes.

Reus LM, Boltz T, Francia M et al.

40021830 PubMed ID
GWAS Study Type
977 Participants
37 Views
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

RL
Reus LM
BT
Boltz T
FM
Francia M
BM
Bot M
RN
Ramesh N
KM
Koromina M
PY
Pijnenburg YAL
DB
den Braber A
VD
van der Flier WM
VP
Visser PJ
VD
van der Lee SJ
TB
Tijms BM
TC
Teunissen CE
LL
Loohuis LO
OR
Ophoff RA
Chapter II

Abstract

Summary of the research findings

Genomic studies of molecular traits have provided mechanistic insights into complex disease, though these lag behind for brain-related traits due to the inaccessibility of brain tissue. We leveraged cerebrospinal fluid (CSF) to study neurobiological mechanisms in vivo, measuring 5543 CSF metabolites, the largest panel in CSF to date, in 977 individuals of European ancestry. Individuals originated from two separate cohorts including cognitively healthy subjects (n = 490) and a well-characterized memory clinic sample, the Amsterdam Dementia Cohort (ADC, n = 487). We performed metabolite quantitative trait loci (mQTL) mapping on CSF metabolomics and found 126 significant mQTLs, representing 65 unique CSF metabolites across 51 independent loci. To better understand the role of CSF mQTLs in brain-related disorders we integrated our CSF mQTL results with pre-existing summary statistics on brain traits, identifying 34 genetic associations between CSF metabolites and brain traits. Over 90% of significant mQTLs demonstrated colocalized associations with brain-specific gene expression, unveiling potential neurobiological pathways.

977 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

977
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Netherlands
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

AI Summary In Progress

Our AI-generated summary of this publication is being prepared. Please check back soon.