Metabolome QTL (metaQTL) Resources

Metabolome quantitative trait loci (metaQTL) identify genetic variants that influence metabolite levels measured by mass spectrometry-based metabolomics. Metabolomics provides a direct readout of cellular biochemical activity and can reveal disease-relevant metabolic pathways linked to genetic variation. This resource provides metaQTL summary statistics, fine-mapping results, and colocalization analyses across brain tissue, cerebrospinal fluid (CSF), and plasma from AD-relevant cohorts.

Overview

metaQTL mapping was performed using the FunGen-xQTL pipeline. Metabolite abundances from untargeted or targeted mass spectrometry underwent log-transformation, batch correction, and covariate adjustment before tensorQTL-based association testing. Fine-mapping was performed using SuSiE-RSS yielding posterior inclusion probabilities (PIPs) and credible sets.

Available Datasets

Brain Tissue

DatasetCohort / Brain RegionSynapse
ROSMAP DLPFCROSMAP dorsolateral prefrontal cortexsyn69670592
Knight ADRC brainKnight ADRC brain (WashU)—

Cerebrospinal Fluid (CSF)

DatasetCohortSynapse
Knight ADRC CSFKnight ADRC CSF (WashU)—

Plasma

DatasetCohortSynapse
EFIGA plasmaEFIGA cohort plasma metabolomics—
WHICAP plasma (pilot)Washington Heights–Inwood Columbia Aging Project pilot—

Analyses Performed

Single-Context Fine-Mapping

Fine-mapping using SuSiE-RSS per metabolite, providing:

  • Posterior inclusion probabilities (PIPs)
  • 95% credible sets
  • Effect sizes on metabolite abundance

Trans-metaQTL Fine-Mapping

Genome-wide trans-metaQTL analyses identify distant genetic influences on metabolite levels. Trans-metaQTL results for ROSMAP DLPFC are provided at ROSMAP DLPFC.

Colocalization

ColocBoost multi-context colocalization identifies shared metabolite QTL signals across cohorts and tissues (syn69670597). AD GWAS–metaQTL colocalization results are at syn69865816 and syn69670630.

Data Access

ResourceSynapse ID
Fine-mapping models (metaQTL)syn69670592
Colocalization modelssyn69670597
AD–metaQTL colocalization resultssyn69865816
AD–metaQTL colocalization modelssyn69670630