GWAS4D – Multidimensional Analysis of Context-specific Regulatory Variant for Human Complex Diseases and Traits

GWAS4D

:: DESCRIPTION

GWAS4D is designed to systematically analyze GWAS summary data and identify context-specific regulatory variants by integrating latest multidimensional functional genomics resources and our recently published algorithms. In general, the web server introduces following six major features: (1) prioritizes the regulatory variant by cepip (Li MJ et.al. Genome Biology. 2017); (2) incorporates 127 tissue/cell type-specific epigenomes data; (3) integrates and refines TF motifs from eight public resources for 1480 transcriptional regulators; (4) uniformly processes Hi-C data and calls significant interactions at 5kb resolution across 45 tissues/cell types, links variant to its target regions; (5) annotates non-coding variant with comprehensive functional annotations; (6) equips a highly interactive visualization function for variant-target interaction.

::DEVELOPER

GWAS4D team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Huang D, Yi X, Zhang S, Zheng Z, Wang P, Xuan C, Sham PC, Wang J, Li MJ*.
GWAS4D: Multidimensional analysis of context-specific regulatory variant for human complex diseases and traits.
Nucleic Acids Res. 2018; gky407

Nucleic Acids Res. 2013 Jul;41(Web Server issue):W150-8. doi: 10.1093/nar/gkt456.
GWAS3D: Detecting human regulatory variants by integrative analysis of genome-wide associations, chromosome interactions and histone modifications.
Li MJ, Wang LY, Xia Z, Sham PC, Wang J.