Table 1.
Study | Research Resources | Planned Analyses | Integration With Other Studies |
---|---|---|---|
Long-Life Family Study (LLFS) | |||
Long-lived families | WGS | Linkage analyses to identify rare variants | LC, LG, and ILO |
Methylomics | Integrated multiomic analyses | ||
Transcriptomics (longitudinal) | Identification of mechanistic pathway(s) | ||
Proteomics | |||
Metabolomics (longitudinal) | |||
Known serum biomarkers | |||
Phenotypic data + cognitive functions | |||
Longevity Consortium (LC) | |||
Human centenarians | Metabolomics | Integrated analysis for longevity omics profiles | LLFS, ILO, and LG |
Long-lived individuals (MrOS, SOF, CHS) | Proteomics | Identification of mechanistic pathway(s) | |
Chemoinformatics | Druggability of longevity pathways | ||
Phenotypic data + cognitive functions | |||
Cell lines of birds, rodents, and primates | Metabolomics | Identification of human orthologs | |
Slow-aging mice—plasma and tissues | Proteomics | ||
Longevity Genomics (LG) | |||
Publically available data | Identification of LAV and LAG | LC, LLFS, and ILO | |
PrediXcan/MetaXcan | Identification of eQTLs | ||
Mendelian randomization | |||
DrugTarget identification | |||
Chemoinformatics | Validation of potential targets | ||
In vitro models/iPSCs/organoids | |||
Integrative Longevity Omics (ILO) | |||
Centenarians/controls | Transcriptomics | Integrated omic analyses | LLFS, LC, and LG |
Methylomics | Identification of mechanistic pathway(s) | ||
Proteomics | |||
Metabolomics | |||
Microbiomics | |||
iPSC—centenarians | |||
Nonhuman species | Transcriptomics | Human orthologs for genes/proteins | |
~100 species of mammal | Proteomics | Life-span-related mechanisms | |
- multiple tissues/cell lines | Metabolomics | ||
eg, primates, birds, rodents, bowhead whale | WGS |
Notes: eQTL = expression quantitative trait locus; iPSC = induced pluripotent stem cell; LAG = longevity-associated gene; LAV = longevity-associated variant; MrOS = Osteoporotic Fractures in Men; SOF = Study of Osteoporotic Fractures; WGS = whole-genome sequencing.