BRIDGEPORT

Bridge knowledge from neuroimaging, genetics and clinical phenotypes

Web portal

BRIDGEPORT

BRIDGEPORT is a publicly accessible web portal that provides massive analytic resources and aims to foster crosstalk for brain imaging genomics.BRIDGEPORT allows you to interactively browse the atlas in a 3D view and explore the phenotypic landscape and genetic architecture of the human brain. You can also download the MUSIC atlas and GWAS summary statistics for your downstream analyses.

MUSIC

MuSIC is a multi-scale brain atlas that parcellates the human brain based on structural covariance patterns using large-scale T1-weighted MRI data over the lifespan. This data-driven atlas encompasses normal brain aging and disease-related effects, endorsing higher statistical power to study the human brain and neuroscience. We provide the download for the MUSIC atlas at multiple scales: C=32, 64, 128, 512, and 1024.

GWAS summary statistics

Many computational genomics methods utilize GWAS summary statistics, instead of the raw genotype data, to perform additional analyses. We store all our GWAS statistics in AWS S3 bucket, allowing users to directly download the data. We list several genomics methods that may leverage our data to future understand the human brain:

• Genetic correlation
• Mendelian Randomization
• Gene-based analyses

Browse MUSIC PSC

Users can browse the results for a specific MUSIC PSC (C1282):

<img src="./data/example/C1282.png" alt="example C128_2">

Alternatively, users can also browse the portal by SNP, gene symbols, clinical traits and MUSE ROI.

Citing this work

Junhao, Wen., Abdulkadir, A., Satterthwaite, T.D., Robert-Fitzgerald, T., Chen, J., Schnack, H., Zanetti, M., Meisenzahl, E., Busatto, G., Crespo-Facorro, B. and Pantelis, C., 2023. Genomic loci and pathways influence patterns of structural covariance in the human brain. PNAS. - Link

Publications around

Wen, J., Fu, C.H., Tosun, D., Veturi, Y., Yang, Z., Abdulkadir, A., Mamourian, E., Srinivasan, D., Skampardoni, I., Singh, A. and Nawani, H., 2022. Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression. JAMA psychiatry, 79(5), pp.464-474. - Link

Hwang, G., Wen, J. (First co-author), Sotardi, S., Brodkin, E.S., Chand, G.B., Dwyer, D.B., Erus, G., Doshi, J., Singhal, P., Srinivasan, D. and Varol, E., 2023. Assessment of Neuroanatomical Endophenotypes of Autism Spectrum Disorder and Association With Characteristics of Individuals With Schizophrenia and the General Population. JAMA psychiatry. - Link