JavaScript isn't enabled in your browser, so this file can't be opened. Enable and reload.
Summary-PrediXcan
Sign in to Google
to save your progress.
Learn more
* Indicates required question
Name or email
*
Your answer
Copy the terminal output of running SPrediXcan.py
Your answer
How long did the run take?
Your answer
What's the full path to the GWAS results?
0 points
/cloud/project/QGT-Columbia-HKI-repo/spredixcan/eqtl/CARDIoGRAM_C4D_CAD_ADDITIVE__PM__Whole_Blood.csv
$RESULTS/spredixcan/eqtl/CARDIoGRAM_C4D_CAD_ADDITIVE__PM__Kidney.csv
$RESULTS/spredixcan/eqtl/CARDIoGRAM_C4D_CAD_ADDITIVE__PM__Whole_Blood.csv
home/student/spredixcan/eqtl/CARDIoGRAM_C4D_CAD_ADDITIVE__PM__Kidney.csv
Clear selection
What prediction model did you use?
0 points
SPrediXcan
imputed_CARDIoGRAM_C4D_CAD_ADDITIVE.txt.gz
gtex_v8_mashr
GWAS
Clear selection
Which gene has the smallest p-value?
0 points
Choose
REST
GGCX
SMARCA4
LIPA
PSRC1
Is SORT1 (ENSG00000134243) significantly associated with CAD?
0 points
Yes
No
Clear selection
In which region of the qqplot are Bonferroni significant genes located?
0 points
Below the line of -log(bfP)
Above the line of -log(bfP)
Above the line of -P
Below the line of log(bfP)
Clear selection
(optional) What are the top 10 loci? Define locus using DATA/spredixcan/ldblocks.csv.gz
0 points
Your answer
(optional) How many significant genes do you find in each locus?
0 points
Your answer
Submit
Clear form
Never submit passwords through Google Forms.
This form was created inside of The University of Chicago.
Report Abuse
Forms
