GIANT: Genome-scale Integrated Analysis of gene Networks in Tissues

Network-guided GWAS Analysis

NetWAS integrates tissue-specific networks and nominally significant p-values in genome-wide association studies to identify biogloically important disease-gene associations. The method has potential to discover novel candidate genes, and does not depend on known disease-associations, thus retaining the unbiased nature of GWAS.

NetWAS RESTful Service

Instructions for programmatic access to GIANT/NetWAS can be found at giant-api.princeton.edu

Please enter the information below to run a new NetWAS Analysis.

GWAS file: GWAS file you want to upload.
Example VEGAS file (BMI, Randall 2013) Please include HEADER line.

Context: Human tissue network which will be used in the SVM analysis

Email: Email address you want the results sent to.

GWAS file type: Type of GWAS file you are uploading

Symbol column: Number of the column that containins gene identifiers. Only used if 'Custom' GWAS file type is selected.

P column: Number of the column that contains P values. Only used if 'Custom' GWAS file type is selected.

P value threshold: Positive P-value threshold you want for your analysis. If left blank, this will default to p=0.01