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Aging of blood can be tracked by DNA methylation changes at just three CpG sites

Carola Ingrid Weidner1, Qiong Lin2, Carmen Maike Koch1, Lewin Eisele3, Fabian Beier4, Patrick Ziegler4, Dirk Olaf Bauerschlag5, Karl-Heinz Jöckel3, Raimund Erbel6, Thomas Walter Mühleisen789, Martin Zenke2, Tim Henrik Brümmendorf4 and Wolfgang Wagner1*

Author Affiliations

1 Helmholtz-Institute for Biomedical Engineering; Stem Cell Biology and Cellular Engineering, RWTH Aachen University Medical School, Aachen, Germany

2 Institute for Biomedical Engineering - Cell Biology, RWTH Aachen University Medical School, Aachen, Germany

3 Institute for Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany

4 Department of Oncology, Hematology and Stem Cell Transplantation, RWTH Aachen University Medical School, Aachen, Germany

5 Department of Obstetrics and Gynecology, RWTH Aachen University Medical School, Aachen, Germany

6 Department of Cardiology, West-German Heart Center Essen, University Duisburg-Essen, Essen, Germany

7 Institute of Human Genetics, University of Bonn, Bonn, Germany

8 Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany

9 Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany

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Genome Biology 2014, 15:R24  doi:10.1186/gb-2014-15-2-r24

Published: 3 February 2014

Additional files

Additional file 1: Tables S1:

S3 and S4 and Figures S1 to S12. Table S1. DNAm profiles for selection of AR-CpGs. Table S3. Gene Ontology analysis of the 102 AR-CpG sites. Table S4. primers used for pyrosequencing. Figure S1. nucleotides and motifs near AR-CpGs. Figure S2. enrichment of histone modifications near AR-CpGs. Figure S3. DNAm level in age-related hypo- or hypermethylation. Figure S4. analysis of AR-CpG sites in an independent dataset. Figure S5. age prediction in ESCs and iPSCs. Figure S6. flowchart for selection of the epigenetic aging signature. Figure S7. DNAm level at CpGs in the neighborhood of five AR-CpG sites. Figure S8. gene expression of selected genes with age-related CpG sites. Figure S9. DNAm level in different blood subsets. Figure S10. influence of blood cell composition on age prediction. Figure S11. effect of clinical and lifestyle parameters on age predictions. Figure S12. age predictions based on telomere length.

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Additional file 2: Table S2:

Beta values for 102 AR-GpGs from 575 samples.

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