KGGSEE 1.0

:: DESCRIPTION

KGGSEE is a standalone Java tool for knowledge-based secondary analyses of genomic and genetic association summary statistics of complex phenotypes by integrating gene expression and related data. It has four major integrative analyses, 1) unconditional gene-based association guided by expression quantitative trait loci (eQTLs), 2) conditional gene-based association guided by selective expression in tissues or cell types, 3) estimation of phenotype-associated tissues or cell-type based on gene expression in single-cell or bulk cells of different tissues, and 4) causal gene inference for complex diseases and/or traits based-on multiple eQTL.

::DEVELOPER

Precision Medicine Genomics Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Windows / Linux / MacOSX
• Java

:: DOWNLOAD

KGGSEE

:: MORE INFORMATION

Citation

1. Xue C., et al. A global overview of single-cell type selectivity and pleiotropy in complex diseases and traits. In Submission (For estimation of phenotype-associated tissues or cell-type based on gene expression in single-cell or bulk cells of different tissues)

2. Jiang L., et al. Systematic comparative analysis of Mendelian randomization methods for inferring causal genes of complex phenotypes and the application to psychiatric diseases. In Submission (For causal gene inference for complex diseases and/or traits based-on multiple eQTL)

3. Li X.Y., et al. Gene-based association guided by eQTL. In Submission (For unconditional and condition gene-based association guided by eQTL)