SNPAAMapper

SNPAAMapper annotates and classifies genetic variants from genome-wide sequencing data to predict amino acid changes and prioritize mutation effects for downstream variant analysis.

Key Features:

• Variant classification by region: Categorizes variants by genomic location including coding sequences (CDS), untranslated regions (UTRs), introns, upstream, and downstream regions.
• Amino acid change prediction: Predicts amino acid changes and distinguishes synonymous versus non-synonymous mutations.
• Mutation effect prioritization: Prioritizes variant effects by comparing potential impacts across regions such as CDS versus UTRs.
• Exon/intron junction analysis: Detects variants at exon/intron junctions that may affect splicing.
• Customizable parameter filtering: Applies user-specified homozygosity and allele frequency cutoffs for tailored analyses.
• Annotation with dbSNP: Annotates known variants using dbSNP identifiers and information.
• Comprehensive spreadsheet reporting: Outputs detailed, prioritized variant annotations and amino acid effect information in a spreadsheet format.

Scientific Applications:

• Disease variant prioritization: Identifying and prioritizing potentially pathogenic variants in genetic disease studies.
• Evolutionary biology: Assessing the functional consequences of variants for evolutionary and population analyses.
• Personalized medicine and clinical genomics: Supporting variant interpretation for clinical and personalized medicine investigations.

Methodology:

Computational steps include classification of variants by genomic region (CDS, UTRs, introns, upstream/downstream), prediction of amino acid changes with synonymous versus non-synonymous distinction, prioritization of effects by region comparison, checking exon/intron junctions, application of homozygosity and allele frequency cutoffs, annotation using dbSNP, and outputting results to a spreadsheet; implemented as Perl scripts.