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Fig. 3 | BMC Biology

Fig. 3

From: New targeted approaches for epigenetic age predictions

Fig. 3

Epigenetic age predictions using BBA-seq. ac Nine amplicons with age-associated CpGs were analyzed by bisulfite barcoded amplicon sequencing (BBA-seq) in a training set of 38 blood samples (blue) and an independent validation set of 39 samples (red). Age predictions were based on a multivariable linear model of 9 CpGs within 9 amplicons (a), Lasso regression model of 17 CpGs within 8 amplicons (b), or elastic net regression model of 26 CpGs within 8 amplicons (c). d, e In analogy, genomic DNA was isolated from buccal swabs and analyzed by BBA-seq (training set: n = 46, blue; independent validation set: n = 49, red) with a multivariable model of 9 CpGs (d), by Lasso regression model of 27 CpGs within 7 amplicons (e), and by elastic net regression model of 26 CpGs within 7 amplicons (f)

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