While traditional genetic studies like GWAS provide insights into aging traits, they often lack the causal inference needed for developing targeted interventions.

Potential therapeutic candidates are prioritized through phenome-wide association studies and drug repurposing efforts, aiming to find actionable anti-aging interventions.

The research adheres to ethical standards and uses publicly available data, ensuring transparency in its scientific practices.

This study explores the immune-genetic architecture of aging, aiming to identify biomarkers and therapeutic targets to better understand the aging process.

It highlights the role of immunosenescence, which involves chronic inflammation and changes in immune cell composition, as a key factor in aging.

Using single-cell RNA sequencing, the research investigates immune-cell-specific gene regulatory mechanisms that influence aging.

The analysis identified 27 immune-cell-specific eGenes linked to aging biomarkers such as telomere length, facial aging, and frailty index, underscoring their importance in aging biology.

Aging is associated with declines in physiological functions and increased vulnerability to age-related diseases, with biomarkers like TL, FA, and FI serving as significant indicators.

The study introduces a novel approach combining single-cell transcriptome-wide Mendelian randomization and Bayesian colocalization analyses to identify causal genes related to aging biomarkers.