2018
DOI: 10.1186/s12864-018-5153-4
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Paternal germ line aging: DNA methylation age prediction from human sperm

Abstract: BackgroundThe relationship between aging and epigenetic profiles has been highlighted in many recent studies. Models using somatic cell methylomes to predict age have been successfully constructed. However, gamete aging is quite distinct and as such age prediction using sperm methylomes is ineffective with current techniques.ResultsWe have produced a model that utilizes human sperm DNA methylation signatures to predict chronological age by utilizing methylation array data from a total of 329 samples. The datas… Show more

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Cited by 75 publications
(106 citation statements)
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References 28 publications
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“…At each time point, the internal and external environments appear to have a major influence on how the epigenome is modified (Soubry et al , ). For example, sperm DNA methylation patterns have recently been shown to predict paternal age with a high degree of accuracy (Jenkins et al , ). Preliminary data suggest that environmental factors, such as smoking, may alter DNA methylation patterns to an age beyond actual chronologic age.…”
Section: Beyond the Male Genomementioning
confidence: 99%
See 1 more Smart Citation
“…At each time point, the internal and external environments appear to have a major influence on how the epigenome is modified (Soubry et al , ). For example, sperm DNA methylation patterns have recently been shown to predict paternal age with a high degree of accuracy (Jenkins et al , ). Preliminary data suggest that environmental factors, such as smoking, may alter DNA methylation patterns to an age beyond actual chronologic age.…”
Section: Beyond the Male Genomementioning
confidence: 99%
“…Preliminary data suggest that environmental factors, such as smoking, may alter DNA methylation patterns to an age beyond actual chronologic age. As the database grows using this unique sperm DNA methylation model (Jenkins et al , ), it will be important to learn how lifestyle, that is, environmental factors, may artificially age a man’s spermatozoa and, in consequence, how it may impact the gestating fetus, neonate, and child.…”
Section: Beyond the Male Genomementioning
confidence: 99%
“…This is likely because the Horvath DNA methylation was developed using only 45 samples of semen in a total of 7,844 samples (0.6%) of different tissue samples, including 4,180 blood-derived samples (53%) [4]. However, age could more accurately be predicted using the model recently developed by Jenkins and colleagues [22], which was specifically trained on sperm samples (r = 0.68, P = 1.78 ´ 10 -7 , Figure S1B).…”
Section: General Characterisation Of the Sperm Dna Methylomementioning
confidence: 99%
“…DNA methylation age was estimated on the discovery sample from both blood and sperm DNA methylation using Horvath's DNA methylation age estimator [4]. We additionally estimated DNA methylation age from sperm using the method described by Jenkins and colleagues [22].…”
Section: Dna Methylation Age Estimatesmentioning
confidence: 99%
“…Among the hypotheses put forward to explain the detrimental effects of age on male fertility and offspring health, epigenetic changes to the DNA stand out. Changes in DNA methylation accumulate in the male germline with age (15)(16)(17), however only a small portion of all CpG sites in the genome have so far been interrogated.…”
Section: Introductionmentioning
confidence: 99%