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Transcriptomic signature: Human aging (LLFS cohort, blood, 2023)

Source: R/LLFS_Aging_Gene_2023.R
LLFS_Aging_Gene_2023.Rd

This dataset contains a transcriptomic signature derived from peripheral blood samples of human participants in the Long Life Family Study (LLFS). The signature captures gene expression differences associated with biological aging and was generated using an array-based transcriptomic platform.

Usage

LLFS_Aging_Gene_2023

Format

A list (or Signature object) with the following components:

Metadata

A named list containing experimental and analytical metadata:

  • adj_p_cutoff: Adjusted p-value cutoff used for differential expression (0.01).

  • assay_type: Type of assay used: "transcriptomics".

  • direction_type: Indicates that both up- and down-regulated genes are included ("bi-directional").

  • phenotype: Phenotype: "Aging".

  • organism: Species: Homo sapiens.

  • sample_type: Tissue: blood.

  • platform: Transcriptomics by array.

  • year: Publication or dataset year: 2023.

  • keywords: Keywords: human, aging, LLFS.

  • score_cutoff: Signature score cutoff: 6.

  • signature_name: Signature name: "LLFS_Aging_Gene_2023".

  • covariates: Covariates used in the differential expression model: sex, fold change (fc), education, percent intergenic, principal components 1–4 (PC1–4), and GRM.

Signature

A summary of sample groups in the study:

  • Group1: 82 samples.

  • Group2: 87 samples.

DifferentialExpressionData

A numeric data frame or matrix of dimension 1000 x 8 containing differential expression statistics for 1,000 genes across 8 variables (e.g., logFC, SE, p-value, adj.P.Val, etc.).

Source

Long Life Family Study (LLFS), transcriptomic profiling 2023.

Details

This signature reflects transcriptomic changes in human peripheral blood associated with biological aging, derived from the LLFS cohort.