snpeff-variant-annotation

To annotate genetic variants in a VCF file, you use SnpEff to predict functional consequences and SnpSift to filter by impact and allele frequency. This process predicts variant effects on genes and transcripts.

Yes, you can filter VCF files by clinical significance and allele frequency using SnpSift. This isolates biologically relevant mutations and identifies pathogenic variants based on clinical impact.

Yes, SnpEff supports enriching VCF variants with ClinVar and dbSNP data. This database enrichment adds annotations for pathogenicity and variant identification directly into your VCF files.

The best way to identify HIGH-impact pathogenic variants from whole-genome sequencing is to annotate VCF files with SnpEff, filter by impact, and enrich the results with clinical significance data from ClinVar.

Yes, you need Java to run SnpEff and SnpSift for variant annotation because they are Java-based command-line tools. They integrate with Python subprocesses for VCF processing and database downloads.