FunGen-xQTL Resources

ROSMAP study info

The Religious Orders Study (ROS) and the Rush Memory and Aging Project (MAP) are two longitudinal clinical-pathologic cohort studies of aging and Alzheimer’s disease (AD), both run from Rush University. ROS enrolled participants from more than 40 religious orders (nuns, priests and brothers) across the United States for clinical follow-up and brain donation. MAP began in 1997 and follows common chronic conditions of aging, with an emphasis on decline in cognitive and motor function and on AD risk.
Cohort
ROSMAPReligious Orders Study and Rush Memory and Aging Project
Tissue or cell type
brain
Lead analysts
Xuanhe ChenSelect a name to email them
Open syn69670592 in Synapse ↗

Access

Controlled access. Request data access for ROSMAP on the AD Knowledge Portal; you need a Synapse account. See How to get the data.

WhereIDAccessWhat you get
Synapsesyn69670592ControlledFiles described below

Other Synapse IDs on this page syn69670600 syn69670597 syn69865816

shell
pip install synapseclient
synapse login
synapse get -r syn69670592

  • PI : Dr. Philip L. De Jager; Dr. David A. Bennett

  • Institution : Columbia University Irving Medical Center; Rush University

  • Grant number : U01AG061356, RF1AG057473, U01AG046152

  • Contact person : Dr. Philip L. De Jager (pld2115@cumc.columbia.edu); Dr. David A. Bennett (david_a_bennett@rush.edu)

  • Publication : PMID:35754708

  • Acknowledgement : Study data were generated from postmortem brain tissue provided by the Religious Orders Study and Rush Memory and Aging Project (ROSMAP) cohort at Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago. This work was funded by NIH grants U01AG061356 (De Jager/Bennett), RF1AG057473 (De Jager/Bennett), and U01AG046152 (De Jager/Bennett) as part of the AMP-AD consortium, as well as NIH grants R01AG066831 (Menon) and U01AG072572 (De Jager/St George-Hyslop).

  • Study name : Religious Orders Study and Rush Memory and Aging Project (ROSMAP)

  • Disease : Alzheimer’s disease

  • Website : ROSMAP metadata page, https://www.synapse.org/#!Synapse:syn3157322

Contact

Xuanhe Chen (xuanhechenxhc@163.com)

For questions about this page, contact the person above.

Other information

CU cluster

These files are the raw ROSMAP metadata. They hold covariate information and a codebook that explains each column. Age at death, sex and PMI are the covariates most often used in xQTL analysis. Others worth investigating include education level, emotional neglect and financial need.

QTL Analyses

The FunGen-xQTL flagship paper used ROSMAP datasets in these xQTL analyses.

DatasetModalityQTL File
DLPFC bulk RNA-seqeQTLROSMAP_DLPFC_expression_qtl
PCC bulk RNA-seqeQTLROSMAP_PCC_expression_qtl
AC bulk RNA-seqeQTLROSMAP_AC_expression_qtl
Monocyte RNA-seqeQTLROSMAP_monocyte_expression_qtl
Microglia RNA-seqeQTLROSMAP_microglia_expression_qtl
snRNA-seq pseudo-bulkeQTLROSMAP_snRNAseq_pseudo_bulk_qtl
DLPFC RNA splicingsQTLROSMAP_DLPFC_splicing_qtl
PCC RNA splicingsQTLROSMAP_PCC_splicing_qtl
AC RNA splicingsQTLROSMAP_AC_splicing_qtl
snRNA-seq splicing (ISSAC-seq)sQTLROSMAP_snuc_splicing_qtl
DLPFC methylationmQTLROSMAP_DLPFC_methylation_qtl
DLPFC H3K9ac ChIP-seqhaQTLROSMAP_DLPFC_ChIPSeq_H3K9ac_qtl
snATAC-seq (MIT)caQTLROSMAP_snuc_caQTL_qtl
DLPFC proteomicspQTLROSMAP_DLPFC_proteomics_qtl
DLPFC glycoproteomicsglycoQTLROSMAP_DLPFC_glycoproteomics_qtl
Brain metabolomicsmetQTLROSMAP_DLPFC_metabolomics_qtl

The flagship paper also used these datasets for fine-mapping (syn69670592), TWAS models (syn69670600) and colocalization (syn69670597, syn69865816).