Sign in
GenomicsMolecular Psychiatry
Peer-reviewed journal article

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

Lianne Maria ReusiD, Toni A. BoltziD, Marcelo FranciaiD, Merel H.M. BotiD, Naren RameshiD, Maria KorominaiD, Yolande A.L. PijnenburgiD, Anouk den BraberiD, Wiesje M. van der FlieriD, Pieter Jelle VisseriD, Sven J. van der LeeiD, Betty Marije TijmsiD, Charlotte Elisabeth TeunisseniD, Loes M. Olde LoohuisiD, Roel A. OphoffiD

Abstract

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 5,543 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 performed a metabolome-wide association study (MWAS), identifying 40 associations between CSF metabolites and brain traits. Similarly, over 90% of significant mQTLs demonstrated colocalized associations with brain-specific gene expression, unveiling potential neurobiological pathways.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISPanyard '21Qi '18Zeng '22Meer '25Petersen '23Sieberts '20
75% semantic matchGenomics
Daniel J. Panyard, Kyeong Mo Kim, Burcu F. Darst+9 more·Communications Biology·Jan 12, 2021· 182 citations