This repo provides code used for single-cell eQTL analysis of single-cell CITE-seq data from 500,089 memory T cells. If you are interested in code for any additional analyses from our study, please contact us at aparnanathan@g.harvard.edu
This study is available as a preprint:
Nathan A, et al, 2021. Modeling memory T cell states at single-cell resolution identifies in vivo state-dependence of eQTLs influencing disease. bioRxiv.
Single-cell data are availale on GEO (Accession: GSE158769) and can be interactively browsed on our website. Genotyping data are available on dbGaP (Accession: phs002025).
Please send any questions regarding the study, data, or analyses to Aparna Nathan (aparnanathan@g.harvard.edu).