Real genes. Real data. Real validation.

See how evolutionary recurrence resolves uncertainty across diverse disease genes — from ion channels to cancer drivers.

CFTR

SCN5A

BRCA1

BRCA2

PDK1

KRAS

Constraint predicts biological importance
Recurrence distinguishes tolerated variation
Evolution filters benign changes instantly
Human-unique variants stand out
Independent scientific demonstrations.
These studies highlight how evolutionary evidence aligns with functional biology across multiple disease domains.
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CFTR: Evolution mirrors functional assay results
Across the CFTR gene, nearly all known pathogenic variants fall in highly conserved regions with zero evolutionary substitutions. Recurring tolerated substitutions match benign classifications across ClinVar and experimental assays.
Read the Study
Read the Study
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MC1R: VUS reclassified through recurrence patterns
CodeXome reclassified 48 MC1R variants of uncertain significance as likely benign by revealing evolutionary recurrence across 15 primate genera and clarifying functional tolerance where population data provides no signal.
Read the Study
Read the Study
Why evolution outperforms prediction alone
CodeXome Evolutionary Evidence
Basis
80M years of primate evolution
Evidence
Recurrence & absence
Output
Deep Time Ancestry Score
Resolution
Amino-acid level
Bias
Evolution-balanced
Interpretation
Empirical and biological
Prediction & Population Scores
Basis
Human-only cohorts
Evidence
Frequency & statistical patterns
Output
Prediction scores
Resolution
Dataset-dependent
Bias
Ancestry-limited
Interpretation
Probabilistic
VS
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Validated using trusted genomic resources
CodeXome's analyses integrate cross-referenced evidence from leading genetic databases.
ClinVar
UniProt
gnomAD
Ensembl
HGMD
NCBI
AlphaFold
GeneCards
ClinVar
UniProt
gnomAD
Ensembl
HGMD
NCBI
AlphaFold
GeneCards
Ongoing research
Upcoming validation collaborations
These studies are produced through our collaborations with academic partners, research groups, and student scientists. If you're interested in contributing to new analyses — whether through an internship, partnership, or joint study — we'd love to hear from you.

How to Cite CodeXome
If you need to properly cite CodeXome in publications, posters, or presentations, please visit our citation guide.
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KRAS Evolutionary Modeling
Resolving functional domains associated with cancer-specific hotspots.
Neuromuscular Gene Benchmarks
Expanding comparative data for Nav, Cav, and muscular dystrophy genes.
Clinically Actionable Variant Sets
Prioritization algorithms for cardiomyopathy, metabolic disease, and cancer predisposition panels.
Multi-species Constraint Extensions
Adding additional mammalian clades beyond primates for high-resolution constraint scoring.
Beyond
Continuous Scientific Collaboration
We continue to release new analyses, expand datasets, and refine evolutionary scoring with contributions from academic researchers, graduate interns, and collaborative projects worldwide.
Inquire About Contributing
Inquire About Contributing
Built with the scientific community
Peer-reviewed, continuously expanding, and shaped by real research questions.
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Academic partnerships.

We collaborate with universities and research groups to refine recurrence scoring, expand datasets, and publish evolutionary insights.
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Student research initiatives.

Graduate and undergraduate students contribute to dataset discoveries, variant analyses, and early-stage genomic research.