GTEx Prediction models and covariances built with GTEx V6P on HapMap SNPs.
DGN Prediction Model built with Depression Genes and Networks study data.
p-values of zero arise from probabilities too small to be represented in floating point numbers.
(Admits lowercase gene names except for 'C*orf*' genes which need precise case)
'Tissue' stands for different transcriptome models used when generating the association.
These data are provided "as is", and without any warranty, for scientific and educational use only. If you use or download these data, you acknowledge that that the investigator is in compliance with all applicable state, local, and federal laws or regulations and institutional policies regarding human subjects and genetics research; that secondary distribution of the data without registration by secondary parties is prohibited; and that the investigator will cite the appropriate publication in any communications or publications arising directly or indirectly from these data. Further restrictions may be imposed by the source of the summary statistics data linked with each phenotype.
Gamazon ER, Wheeler HE, Shah KP, Mozaffari SV, Aquino-Michaels K, Carroll RJ, Eyler AE, Denny JC, Nicolae DL, Cox NJ, Im HK. (2015)
A gene-based association method for mapping traits using reference transcriptome data. Nat Genet. doi:10.1038/ng.3367.Link to Nature GeneticsLink to Preprint
Alvaro Barbeira, Kaanan P Shah, Jason M Torres, Heather E Wheeler, Eric S Torstenson, Todd Edwards, Tzintzuni Garcia, Graeme I Bell, Dan Nicolae, Nancy J Cox, Hae Kyung Im. (2016)
MetaXcan: Summary Statistics Based Gene-Level Association Method Infers Accurate PrediXcan ResultsLink to Preprint
Heather E Wheeler, Kaanan P Shah, Jonathon Brenner, Tzintzuni Garcia, Keston Aquino-Michaels, GTEx Consortium, Nancy J Cox, Dan L Nicolae, Hae Kyung Im. (2016)
Survey of the Heritability and Sparsity of Gene Expression Traits Across Human Tissues.Link to preprint