Albert Higgins‐Chen

This study evaluates epigenetic clocks for aging interventions, finding newer clocks trained on mortality or aging rates are more reliable than those based on chronological age.

This study evaluates the technical and biological reliability of 18 epigenetic clocks and shows that technical reliability does not predict biological reliability, which is critical for clinical applications.

CpG Atlas integrates over 1.2 million CpG sites across multiple methylation arrays with 18 annotation layers and provides a query interface for epigenetic research.

This paper investigates how APOEe4 influences molecular changes in Alzheimer's disease through proteomic, epigenetic, and genetic analyses of post-mortem brain samples, identifying key proteins and epigenetic markers associated with risk and resilience.

TranslAGE provides a standardized framework for benchmarking epigenetic aging biomarkers by harmonizing datasets and precomputing scores across multiple performance domains.

The paper develops 11 system-specific methylation clocks from blood samples to quantify aging heterogeneity across physiological systems and identifies aging subtypes with distinct disease patterns.

The paper identifies and characterizes age-invariant genes across multiple tissues in mice, finding they are stable across the lifespan and have distinct molecular features.

CpGPT is a foundation model for DNA methylation analysis that outperforms specialized models in aging-related tasks and can impute methylation profiles across diverse conditions.

This study improves the reliability of stochastic epigenetic mutations (SEMs) by filtering technical noise and identifies their associations with cardiovascular disease and aging.

The paper develops PCBrainAge, an epigenetic age predictor for brain tissue, showing it better captures aging heterogeneity and links to Alzheimer's disease features than existing methods.

This paper introduces a computational method to improve the reliability of epigenetic clocks by using principal component analysis, showing reduced technical noise and better performance in longitudinal studies.

methylCIPHER is a local R package providing standardized epigenetic clock calculation, clock-selection helpers, and missing-CpG imputation assessment, showing that many clocks produce highly correlated outputs despite non-overlapping CpGs.

Clustering 5,717 clock CpGs into twelve modules shows that different epigenetic clocks mix those modules in different proportions, and that reprogramming rejuvenates only some of them.