Service

Longevity

Multi-omics strategies to decode aging and optimize healthspan

Integrated genomic, epigenomic, and proteomic analyses to explore biological age and promote healthy aging

Key advantages

  • Whole genome and epigenome profiling to assess aging biomarkers

  • DNA methylation analysis for biological age estimation (epigenetic clocks)

  • Detection of variants linked to age-related diseases and longevity traits

  • Multi-omics integration of genomics, proteomics, and metabolomics data

  • Supports lifestyle and precision interventions for aging-related conditions

  • Personalized insights into aging trajectories, inflammation, and immune decline

  • Applicable to research, preventive medicine, and longevity programs

  • Data interpretation by expert teams with clinical and scientific guidance


Technical specifications

  • Sample type: blood, saliva, buccal swab, plasma, serum

  • Sequencing platforms: Illumina NovaSeq 6000, Illumina NovaSeq X Plus, MGI DNBSEQ-T7, Oxford Nanopore and beyond 

  • Epigenetic profiling: methylation arrays, WGBS (Whole Genome Bisulfite Sequencing)

  • Bioinformatics pipeline: variant calling, epigenetic age modeling, pathway analysis

  • Output files: FASTQ, VCF, methylation profiles, age prediction reports

  • Optional modules: telomere length, inflammation markers, metabolic panels

  • Secure reporting and visualization: dashboards, longitudinal monitoring tools