RT Journal Article
SR Electronic
T1 A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.02.01.429117
DO 10.1101/2021.02.01.429117
A1 Erin Macdonald-Dunlop
A1 Nele Taba
A1 Lucija Klaric
A1 Azra Frkatovic
A1 Rosie Walker
A1 Caroline Hayward
A1 Tonu Esko
A1 Chris Haley
A1 Krista Fischer
A1 James F Wilson
A1 Peter K Joshi
YR 2021
UL http://biorxiv.org/content/early/2021/02/02/2021.02.01.429117.abstract
AB Biological age (BA), a measure of functional capacity and prognostic of health outcomes that discriminates between individuals of the same chronological age (chronAge), has been estimated using a variety of biomarkers. Previous comparative studies have mainly used epigenetic models (clocks), we use ~1000 participants to create eleven omics ageing clocks, with correlations of 0.45-0.97 with chronAge, even with substantial sub-setting of biomarkers. These clocks track common aspects of ageing with 94% of the variance in chronAge being shared among clocks. The difference between BA and chronAge – omics clock age acceleration (OCAA) – often associates with health measures. One year’s OCAA typically has the same effect on risk factors/10-year disease incidence as 0.46/0.45 years of chronAge. Epigenetic and IgG glycomics clocks appeared to track generalised ageing while others capture specific risks. We conclude BA is measurable and prognostic and that future work should prioritise health outcomes over chronAge.Competing Interest StatementP.K.J is a paid consultant for Humanity Inc. and Global Gene Corporation.