Clocks and Other Models¶
Biolearn supports a number of clock models that can be easily run from the clock gallery. IP and usage information is provided here.
| Name | Year | Species | Tissue | Predicts | Source | Coefficients | 
|---|---|---|---|---|---|---|
| Horvathv1 | 2013 | Human | Multi-tissue | Age (Years) | ||
| Hannum | 2013 | Human | Blood | Age (Years) | ||
| Lin | 2016 | Human | Blood | Age (Years) | ||
| PhenoAge | 2018 | Human | Blood | Age (Years) | ||
| YingCausAge | 2022 | Human | Blood | Age (Years) | ||
| YingDamAge | 2022 | Human | Blood | Age (Years) | ||
| YingAdaptAge | 2022 | Human | Blood | Age (Years) | ||
| Horvathv2 | 2018 | Human | Skin + blood | Age (Years) | ||
| PEDBE | 2019 | Human | Buccal | Age (Years) | ||
| Zhang_10 | 2019 | Human | Blood | Mortality Risk | ||
| DunedinPoAm38 | 2020 | Human | Blood | Aging Rate (Years/Year) | ||
| DunedinPACE | 2022 | Human | Blood | Aging Rate (Years/Year) | ||
| DNAmClockCortical | 2020 | Human | Human Cortex | Human Cortex Age (Years) | ||
| GrimAgeV1 | 2019 | Human | Blood | Mortality Adjusted Age (Years) | ||
| GrimAgeV2 | 2022 | Human | Blood | Mortality Adjusted Age (Years) | ||
| VidalBralo | 2018 | Human | Blood | Age (Years) | ||
| AlcoholMcCartney | 2018 | Human | Blood | Alcohol Consumption | ||
| DNAmTL | 2019 | Human | Blood, Adipose | Telomere Length | ||
| HRSInCHPhenoAge | 2022 | Human | Blood | Age (Years) | ||
| Knight | 2016 | Human | Cord Blood | Gestational Age | ||
| LeeControl | 2019 | Human | Placenta | Gestational Age | ||
| SexEstimation | 2021 | Human | Blood | Sex | ||
| EpiTOC1 | 2016 | Human | Blood | Stem Cell Division Rate | ||
| EpiTOC2 | 2020 | Human | Blood | Stem Cell Division Rate | ||
| LeeRefinedRobust | 2019 | Human | Placenta | Gestational Age | ||
| LeeRobust | 2019 | Human | Placenta | Gestational Age | ||
| SmokingMcCartney | 2018 | Human | Blood | Smoking Status | ||
| DownSyndrome | 2021 | Human | Blood | Down Syndrome Prediction | ||
| DeconvoluteBlood450K | 2024 | Human | Blood | Cell Proportions | ||
| DeconvoluteBloodEPIC | 2024 | Human | Blood | Cell Proportions | ||
| TwelveCellDeconvoluteBloodEPIC | 2024 | Human | Blood | Cell Proportions | ||
| StocZ | 2024 | Human | Blood | Mortality Risk | ||
| BMI_McCartney | 2018 | Human | Blood | BMI | ||
| EducationMcCartney | 2018 | Human | Blood | Educational Attainment | ||
| TotalCholesterolMcCartney | 2018 | Human | Blood | Total Cholesterol | ||
| HDLCholesterolMcCartney | 2018 | Human | Blood | HDL Cholesterol | ||
| LDLCholesterolMcCartney | 2018 | Human | Blood | LDL with Remnant Cholesterol | ||
| BodyFatMcCartney | 2018 | Human | Blood | Percentage Body Fat | ||
| BMI_Reed | 2020 | Human | Blood | BMI | ||
| StocP | 2024 | Human | Blood | Age (Years) | ||
| Mayne | 2016 | Human | Placenta | Gestational age | ||
| ProstateCancerKirby | 2017 | Human | Prostate | Prostate Cancer Status | ||
| AltumAge | 2022 | Human | Multi-tissue | Age (Years) | ||
| HepatoXu | 2017 | Human | Circulating DNA | Hepatocellular Carcinoma Status | ||
| CVD_Westerman | 2020 | Human | Blood | Coronary Heart Disease Status | ||
| StocH | 2024 | Human | Multi-tissue | Age (Years) | ||
| AD_Bahado-Singh | 2021 | Human | Blood | Alzheimer’s Disease Status | ||
| DepressionBarbu | 2021 | Human | Blood | Depression Risk | ||
| TranscriptomicPredictionModel | 2015 | Human | Blood | Age (Years) | ||
| OrganAgeChronological | 2024 | Human | Blood | Mortality Risk by Organ | ||
| OrganAgeMortality | 2024 | Human | Blood | Age (Years) by Organ | ||
| OrganAge1500Chronological | 2024 | Human | Blood | Mortality Risk by Organ | ||
| OrganAge1500Mortality | 2024 | Human | Blood | Age (Years) by Organ | ||
| Bohlin | 2017 | Human | Cord Blood | Age (days) | ||
| Bocklandt | 2011 | Human | Blood | Age (years) | ||
| Pasta | 2025 | Human | Multi-tissue | Age score | ||
| REG | 2025 | Human | Multi-tissue | Age (years) |