Download the results as a .csv file.
Note: To download the full set of SMR results for a given trait, please set p_SMR to 1 and p_HET to 0.Download Data
Regional Association plots are only provided for those probes that pass both the SMR (p-value < 8.4e-06) and the HEIDI (p-value ≥ 0.05) test.The upper plot of the figure shows the p-value for SNPs from the latest GWAS for the given trait (brown dots). The diamonds represent the p-values of probes from the SMR analysis. Highlighted in red is the probe(s) of interest that passed the SMR and HEIDI tests. The lower plot of the figure shows the eQTL p-values of SNPs from the Westra study for the probe of interest.
Trait or Disease
Data downloaded from:
Summary-based-results Mendelian Randomization (SMR) is a method that applies the principles of mendelian randomization to identify genes whose expression levels are associated with a complex trait or disease because of pleitropy using summary data from GWAS and eQTL studies (Zhu et al. 2016, Nature Genetics). This method can be used to prioritize genes at the GWAS loci for follow-up functional studies. The method has been implemented in a user-friendly software tool which is freely available at http://cnsgenomics.com/software/smr/
SMR method and software tool:
Zhu Z, Zhang F, Bakshi A, Robinson MR, Powell J, Montgomery G, Goddard ME, Wray NR, Visscher PM, Yang J (2016) Integration of summary data from GWAS and eQTL studies predict complex trait gene targets. Nature Genetics, 48:481-7.
Jennifer M Whitehead Pavlides, Zhihong Zhu, Jacob Gratten, Allan F. McRae, Naomi R. Wray and Jian Yang (2016) Predicting gene targets from integrative analysis of summary data from GWAS and eQTL studies for 28 human complex traits. Genome Medicine, 8:84
The SMRdb query tool was developed by Jennifer Whitehead Pavlides. Please direct all queries or issues to Jennifer Whitehead Pavlides (email@example.com) or Jian Yang (firstname.lastname@example.org)