ReviewNature reviews. Genetics2022
Measuring biological age using omics data.
Review in Nature reviews. Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 368 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
368 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mortality, functional outcome, and bleeding risk after early versus delayed thrombectomy.GeroScience · 2026Pooled it
- Final Report on the Safety and Efficacy of Poly-L-Lactic Acid Filler (Gana V) Injection for the Correction of Nasolabial Fold: A Double-Blind, Non-Inferiority, Randomized, Split-Face Controlled Trial.Aesthetic plastic surgery · 2026Trial
- Trial
- Gero-Immunology: The critical role of aging when defining immune phenotypes.Current opinion in biomedical engineering · 2026Article
- Using epigenetic aging data to drive health behavior change.PEC innovation · 2026Article
- Liver-specific phenotypic aging, behavior and genetic risks, and long-term liver-related outcomes.GeroScience · 2026Article
- Whole blood transcriptional signatures of age and survival identified in long life family and integrative longevity omics studies.GeroScience · 2026Article
- Association of systemic aging and frailty with retinal alterations: insights from an integrated exposome and metabolome framework.GeroScience · 2026Article
- Retinal age gap in unilateral retinal diseases with unaffected fellow eye: phakia and vascular pathology impact retinal age prediction.Japanese journal of ophthalmology · 2026Article
- Healthy diet and slower biological aging as protective factors against microvascular complications in type 2 diabetes.GeroScience · 2026Article
- Integrative prediction of Alzheimer's disease and related dementias using multi-omics aging clocks and genetic data.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Observational
- Glycemic status-dependent proteomic signatures of biological aging for health risk prediction.GeroScience · 2026Article
- Phenotypic age metrics for risk stratification of chronic disease burden and all-cause mortality in adults.Cardiovascular diabetology. Endocrinology reports · 2026Article
- The Hallmarks of Aging: From Molecular Mechanisms to Clinical Translation.International journal of molecular sciences · 2026Review
- p16GeroScience · 2026Article
- Article
- Personal-MetaboHealth, an actionable health check in middle age, is improved by an effective lifestyle intervention in those at risk.BMC medicine · 2026Article
- Sex-specific aging clocks from a large-scale human phenome reveal distinct aging transitions and circulating signatures.Nature aging · 2026Article
- A geroprotective probiotic and its functional metabolite counteract inflammaging to extend healthspan.Nature aging · 2026Article
- Article
308 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Age is the key risk factor for diseases and disabilities of the elderly. Efforts to tackle age-related diseases and increase healthspan have suggested targeting the ageing process itself to 'rejuvenate' physiological functioning. However, achieving this aim requires measures of biological age and rates of ageing at the molecular level. Spurred by recent advances in high-throughput omics technologies, a new generation of tools to measure biological ageing now enables the quantitative characterization of ageing at molecular resolution. Epigenomic, transcriptomic, proteomic and metabolomic data can be harnessed with machine learning to build 'ageing clocks' with demonstrated capacity to identify new biomarkers of biological ageing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.