We performed Whole Exome sequencing (WES) on some patient samples of a well known disease. Our bioinformaticians gave us the data in XL sheets with 300 plus genes with deletions, insertions and non-synonymous SNVs (nsSNVs) etc. We would like to bring those 300+ mutations/ variants into handful so that we can work on it further. We have been provided with CADDPHRED score, Condel labels, SNPDB, VAF%, Varient reads, etc in XL sheets. Can anyone tell me how to reduce many nsSNVs to few very promising ones without losing some good candidates? A pipeline or a good reference or a tutorial, how to do it, would make my work easier. Do we need other scores from any other data bases? Any suggestions would be well appreciated.

Thank you