Sry, I am just a user like you, so I can't help you with your concrete data.
However, you asked if it is bad to have no "significant" SNP:
This indicates that none of your SNPs have a p-value of 5e-8 or lower.
There are now two possibilities with FUMA:
1. If your lowest SNP (check this in your data before FUMA) is between 1e-5 and 5e-8: Run fuma with a lowered threshold:
- Go to the section "2. Parameters for lead SNPs and candidate SNPs identification" when creating a fuma JOB
- Set "Maximum P-value of lead SNPs (<)" as high as possible
- Run the analyius
2. if the lowest p-value is higher than 1e-5:
Here it gets tricky! This means that you do not have strong association signals.
My personal experience:
- If your best p-values are between 5e-4 and 1e-5, there could still be some interesting signal:
You
should define lead SNPs yourself (by using e.g. PLINK with 1000G data)
and upload a list of lead SNPs when running fuma in the "Upload input files"-section here: "Pre-defined lead SNPs"
- However, if your best SNPs have p-values > 5e-4 you (should): rethink your hypothesis, check data formats, have a very small sample size and thus low power with your GWAS.
I hope this helps
Best,
Andreas