Please cite using this website's URL and also our Nature Communications manuscript, Liang et al. 2019 (DOI: 10.1038/s41467-019-09135-8).
Reference genome with variants (SNPs/InDels) from the respective sample.
The ANN field contains 16 pipe-separated sub-fields:
Allele (ALT)
Annotation/Effect (using Sequence Ontology terms)
Putative Impact (HIGH, MODERATE, LOW, MODIFIER)
Gene Name
Gene ID
Feature Type (e.g., transcript)
Feature ID (e.g., Transcript ID)
Transcript Biotype
Rank/Total (exon or intron rank)
HGVS.c (DNA level notation)
HGVS.p (Protein level notation)
cDNA position/length
CDS position/length
Protein position/length
Distance to feature
Errors/Warnings/Information messages
For furthure information on SnpEff, read the documentation
Multiple annotations occur for several reasons:
A variant may affect more than one gene.
Genes can have multiple transcripts, leading to different annotations per transcript.
A single VCF entry can list multiple alternative alleles (non-biallelic variants).
Each unique combination of variant, gene, and transcript generates its own annotation.
For furthure information on SnpEff, read the documentation
HIGH: Disruptive impact, likely causing protein truncation or loss of function (e.g., stop_gained, frameshift_variant)
MODERATE: Non-disruptive but may change protein effectiveness (e.g., missense_variant, inframe_deletion)
LOW: Mostly harmless or unlikely to change protein behavior (e.g., synonymous_variant)
MODIFIER: Non-coding variants or variants in non-coding genes where impact is difficult to predict (e.g., exon_variant, downstream_gene_variant).
⚠️ Important: Impact categories are meant to help filtering but cannot predict whether a specific variant causes a phenotype of interest.
For furthure information on SnpEff, read the documentation
Use impact categories as a filtering aid, not definitive predictions. A HIGH impact variant isn't necessarily causative for your phenotype of interest, and a LOW impact variant could still be functionally important. Always validate findings with wet-lab experiments.
For single nucleotide variants in protein-coding transcripts: