Genome & Epigenome
Epigenetic Tests
Genomic analyses (genetic susceptibility) and epigenetic tests (biological age) are evaluated together.
Health is not limited to DNA sequences. How genes function and how cells behave are influenced by lifestyle and environment. In HeraBiyo's approach, genomic analyses (what you are predisposed to) and epigenetic tests (your current biological age) complement each other.
Multi-Omics: Biological Data Layers
- Genomics: Hereditary and persistent risks (PRS foundation).
- Epigenomics: DNA methylation microarray to study changes; gene regulation and epigenetic age.
- Clinical & Lifestyle: Biomarkers, demographics, habits modeled together with genetic susceptibility.
Integrated Modeling Architecture
- Data Harmonization: Consistency across datasets; multiple imputation (MICE KNN) for missing data.
- ML Integration: Omics + clinical data feed AI models to predict 10–20 year disease risk per individual.
- Multidimensional risk: Shows how genetic risk is modulated by environmental factors.
Epigenetic Age & Biological Clocks
- Epigenetic age is computed from methylation data, independent of chronological age.
- GrimAge: Most precise for mortality risk and future health.
- PhenoAge: Phenotypic age from DNA plus blood biochemistry; inflammation and resilience insights.
- DunedinPACE: A speedometer for current biological aging rate.
References
- Steinfeldt, J. et al. (2022). Neural network-based integration of polygenic and clinical information... The Lancet Digital Health, 4(2).
- Wang, Y. et al. (2022). Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores. Annual review of biomedical data science, 5.
- Lu, A. T., et al. (2019). DNA methylation GrimAge strongly predicts lifespan and healthspan. Aging (Albany NY).
- Belsky, D. W., et al. (2022). DunedinPACE, a DNA methylation biomarker of the pace of aging. eLife.