Part 4

Computational Tools

Comprehensive toolkit for independent genetic variant research and hearing loss genetics analysis.

Independent Research Toolkit: This is a comprehensive collection of computational tools used in our STRC variant analysis and hearing loss genetics research. All tools are freely accessible to enable independent genetic variant research.

Total Cost: An LLM API (~$50-100 for a project like this). All scientific databases and analysis tools are free with academic/public access.

AI & Automation

Structural Biology

Variant Classification & Scoring

AlphaMissense

Used

Missense variant pathogenicity prediction using protein structure. Immune to pseudogene interference.

Used for: E1659A pathogenicity (0.9016), critical for STRC due to STRCP1 pseudogene

REVEL

Used

Rare variant ensemble learner combining 13 pathogenicity predictors. Threshold ≥0.773 per Pejaver 2022.

Used for: E1659A score 0.789, concordant with AlphaMissense for PP3_Moderate

CADD

Used

Combined Annotation Dependent Depletion. Integrates diverse genomic annotations for deleteriousness prediction.

Used for: E1659A PHRED score 27.5 (top 0.18% most deleterious), concordant with AlphaMissense and REVEL

ClinVar

Available

NCBI database of genetic variants and their clinical significance. Essential for literature review.

Use case: Check existing classifications, variant prevalence, clinical interpretations

Franklin (Genoox)

Available

AI-powered variant classification platform. Automated ACMG/AMP criteria application.

Use case: Comprehensive variant interpretation with automated evidence gathering

InterVar

Available

Automated ACMG/AMP guideline interpretation for variant classification.

Use case: Systematic ACMG criteria application, reduces manual interpretation errors

VarSome

Available

Comprehensive variant search engine with automated ACMG classification and evidence aggregation.

Use case: One-stop variant lookup with integrated predictors and clinical data

CADD

Limited

Combined Annotation Dependent Depletion scoring. May fail with pseudogene-containing genes.

Limitation: No score for E1659A due to STRC/STRCP1 pseudogene mapping issues

SpliceAI

Available

Deep learning-based splice site prediction. Critical for variants near exon-intron boundaries.

Use case: Detect cryptic splice sites created by missense variants

Population Genetics

Conservation & Evolution

Genomics & Sequence Analysis

Hearing Loss Specific

Gene Therapy & Clinical

Programming & Analysis

Research Impact

47
Computational tools
16
AlphaFold 3 experiments
$50-100
Total AI cost for full analysis

All tools are designed for independent research. Most databases are free with academic access. The complete methodology is documented to enable reproduction by any family facing similar variant uncertainty.