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.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 5
- FWCI
- 1.50
- Field percentile
- top 20%
- Organism
- Assay
- Research Focus
- Approach
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.
Related papers
- Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
Daniel J. Panyard, Kyeong Mo Kim, … Qiongshi Lu·Communications BiologyPeer-reviewed·Jan 12, 2021
- Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
Ting Qi, Yang Wu, … Jian Yang·Nature CommunicationsPeer-reviewed·Jun 5, 2018
- Trans-ethnic eQTL meta-analysis of human brain reveals regulatory architecture and candidate causal variants for brain-related traits
Biao Zeng, Jaroslav M. Bendl, … Panos Roussos·Nature GeneticsPeer-reviewed·Jan 20, 2022
- Shared Molecular Landscape of Human Brain Structure and Systemic Metabolism
Dennis van der Meer, Jakub Kopál, … Ole A. Andreassen·bioRxiv·Jan 12, 2025
- A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition
Marvin Petersen, Felix Hoffstaedter, … Bastian Cheng·eLifePeer-reviewed·Dec 7, 2023
- Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions
Solveig K. Sieberts, Thanneer Malai Perumal, … Chris Gaiteri·Scientific DataPeer-reviewed·Oct 12, 2020