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| Status |
Public on May 19, 2020 |
| Title |
DNA methylation analysis of human peripheral blood mononuclear cell collected in the AIRWAVE study |
| Organism |
Homo sapiens |
| Experiment type |
Methylation profiling by genome tiling array
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| Summary |
Markers of biological ageing have potential utility in primary care and public health. We developed a model of age based on untargeted metabolic profiling across multiple platforms, including nuclear magnetic resonance spectroscopy and liquid chromatography-mass spectrometry in urine and serum, within a large sample (N=2,239) from the UK Airwave cohort. We validated a subset of model predictors in a Finnish cohort including repeat measurements from 2,144 individuals. DNA methylation age was assessed for 1,110 participants using the Infinium HumanMethylation EPIC BeadChip. We investigated the determinants of accelerated ageing, including lifestyle and psychological risk factors for premature mortality. The metabolomic age model was well correlated with chronological age (mean r=0.86 across independent test sets). Increased metabolomic age acceleration (mAA) was associated after false discovery rate (FDR) correction with overweight/obesity, diabetes, heavy alcohol use and depression. DNA methylation age acceleration measures were uncorrelated with mAA. Increased DNA methylation phenotypic age acceleration (N = 1,110) was associated after FDR correction with heavy alcohol use, hypertension and low income. In conclusion, metabolomics is a promising approach for the assessment of biological age and appears complementary to established epigenetic clocks.
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| Overall design |
1129 samples,including 14 replicates
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| Contributor(s) |
Robinson O, Polidoro S, Fiorito G, Vineis P, Elliott P |
| Citation |
Oliver Robinson, Marc Chadeau Hyam, Ibrahim Karaman, Rui Climaco Pinto, Mika Ala-Korpela, Evangelos Handakas, Giovanni Fiorito, He Gao, Andy Heard, Marjo-Riitta Jarvelin, Matthew Lewis, Raha Pazoki, Silvia Polidoro, Ioanna Tzoulaki, Matthias Wielscher, Paul Elliott and Paolo Vineis. Determinants of accelerated metabolomic and epigenetic aging in a UK cohort. Aging Cell 2020;00:e13149. doi:10.1111/acel.13149
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| Submission date |
Mar 30, 2020 |
| Last update date |
May 21, 2020 |
| Contact name |
Oliver Robinson |
| E-mail(s) |
o.robinson@imperial.ac.uk
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| Phone |
02075942067
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| Organization name |
IMPERIAL COLLEGE LONDON
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| Department |
School of Public Health
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| Lab |
MRC Centre for Environment and Health
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| Street address |
St Mary's Campus, Norfolk Place
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| City |
London |
| State/province |
London |
| ZIP/Postal code |
W21PG |
| Country |
United Kingdom |
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| Platforms (1) |
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| Samples (1129)
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| Relations |
| BioProject |
PRJNA616342 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE147740_RAW.tar |
15.3 Gb |
(http)(custom) |
TAR (of IDAT) |
| GSE147740_beta_QN_normalisation.txt.gz |
6.4 Gb |
(ftp)(http) |
TXT |
| GSE147740_detection_P_values.txt.gz |
10.5 Mb |
(ftp)(http) |
TXT |
| Processed data are available on Series record |
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