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SMR

Description

smr website

This software tool implements the SMR & HEIDI methods to test for pleiotropic association between the expression level of a gene and a complex trait of interest using summary-level data from GWAS and expression quantitative trait loci (eQTL) studies (Zhu et al. 2016 Nature Genetics). The methodology can be interpreted as an analysis to test if the effect size of a SNP on the phenotype is mediated by gene expression. This tool can therefore be used to prioritize genes underlying GWAS hits for follow-up functional studies.

Environment Modules

Run module spider smr to find out what environment modules are available for this application.

Environment Variables

  • HPC_SMR_DIR - installation directory
  • HPC_SMR_BIN - executable directory

Citation

If you publish research that uses SMR you have to cite it as follows:

Zhu Z, Zhang F, Hu H, Bakshi A, Robinson MR, Powell JE, Montgomery GW, Goddard ME, Wray NR, Visscher PM & Yang J (2016) Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. Nature Genetics, 48:481-487.

Categories

biology, genomics