Quantitative trait loci (QTLs) describe associations between genetic variants and molecular traits. This Atlas uses data from the ROSMAP, MSBB, Knight-ADRC, and MiGA resources to make harmonized xQTL and fine-mapping results accessible across fourteen brain regions and seven cell types (see About and Methods). Molecular traits represented in the Atlas include single-nucleus and bulk gene expression, protein abundance, histone acetylation, DNA methylation, and splicing events. Read more...
Select one of the example queries below, or enter your own query and click Search.
View results in the genome browser or download TSV files for downstream analysis.
Integrated brain xQTLs from ROSMAP, MSBB, Knight-ADRC, and more
To get started, click on the Home/Search to search by variant rsID, gene name, or genomic coordinates. Or click Genome Browser to explore xQTL data for candidate loci or gene of interest. See Download to download xQTL association for individual variants, genes, or genomic regions. See About for overview of the portal, data in the portal, data harmonization, and how-tos. See Methods for detail of data processing and xQTL pipeline(s).
Current release: v1.0, June 18, 2026 Data and annotations will be updated in future releases.
Full xQTL data/all tested associations are available through NIAGADS DSS (NG00184).
Last updated: July 09, 2026 15:31:28