Hello,
As long as the relationships between SNPs in your data still follow the patterns typical for GWAS data (eg. SNPs in closer linkage disequilibrium with something significant also tend to come out with lower p-values) this should probably be OK.
The one potential issue might be related to storage of the value "5.0x10^-700" - a number like that is so small it may get treated as "0" instead of stored using floating-point approximation, and I'm not sure if any parts of FUMA might have a problem handling 0s. Most likely it will still handle it normally, but I suggest double-checking your results against what you see in the data yourself (eg. making sure what's marked as a lead or independently significant SNP matches your expectations) and giving me the job ID after you've run it so I can check the job logs for you and let you know if I see any unusual warnings or errors.
Kristen
PS. If there did turn out to be any problems, you would still be able to process your data through FUMA by identifying lead SNPs using another tool, and uploading a list under "Pre-defined lead SNPs", then unchecking the box "Identify additional independent lead SNPs" so FUMA will skip the step where it identifies lead SNPs. If you use this method, the list of pre-defined lead SNPs should have three columns, one for the SNP rsid, one for chromosome number, and one for position (GRCh37).