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The association of physical function and physical performance with DNA methylation clocks in oldest-old living in Singapore - the SG90 cohort.

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Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore.

Deoxyribonucleic acid (DNA) methylation (DNAm) clocks estimate biological age according to DNA methylation. This study investigated the associations between measures of physical function and physical performance and ten DNAm clocks in the oldest-old in Singapore. The SG90 cohort included a subset of community-dwelling oldest-old from the Singapore Chinese Health Study (SCHS) and Singapore Longitudinal Ageing Study (SLAS).

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Motivation: Since their introduction about 10 years ago, methylation clocks have provided broad insights into the biological age of different species, tissues, and in the context of several diseases or aging. However, their application to single-cell methylation data remains a major challenge, because of the inherent sparsity of such data, as many CpG sites are not covered. A methylation clock applicable on single-cell level could help to further disentangle the processes that drive the ticking of epigenetic clocks.

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Sleep Medicine Center, Department of Neurology, Villa Serena Hospital, Città S. Angelo, Pescara, Italy; Villaserena Research Foundation, Città S. Angelo, Pescara, Italy.

Advanced sleep phase (ASP) is seldom brought to medical attention because many individuals easily adapt to their early chronotype, especially if it emerges before the age of 30 and is present in a first-degree relative. In this case, the disorder is considered familial (FASP) and is mostly discovered coincidentally in the presence of other sleep disorders, mainly obstructive sleep apnea syndrome (OSAS). The prevalence of FASP is currently estimated to be between 0.

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Alcohol consumption is an important risk factor for multiple diseases. It is typically assessed via self-report, which is open to measurement error through recall bias. Instead, molecular data such as blood-based DNA methylation (DNAm) could be used to derive a more objective measure of alcohol consumption by incorporating information from cytosine-phosphate-guanine (CpG) sites known to be linked to the trait.

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