Maintaining muscle mass is crucial for healthy aging, as it is closely linked to overall physical function and quality of life. As we age, our bodies naturally experience a decline in muscle mass and strength, known as sarcopenia. This loss of muscle mass can lead to a range of negative health outcomes, including decreased mobility, increased risk of falls and fractures, and decreased metabolic rate. Additionally, loss of muscle mass can contribute to chronic conditions such as obesity, diabetes, and cardiovascular disease. By developing an epigenetic clock for skeletal muscle, Dr. Voisin and her colleagues have identified specific methylation patterns that are associated with muscle aging. This research not only sheds light on the biological mechanisms behind sarcopenia, but may also provide new targets for interventions aimed at preserving muscle mass and function in older adults. In this week’s Everything Epigenetics podcast, Dr. Sarah Voisin and I focus on her 2020 paper which describes her development of a human muscle-specific epigenetic clock that predicts age with better accuracy than the pan-tissue clock. Yes - you heard that right… better accuracy than Dr. Steve Horvath’s 2013 clock. Dr. Voisin and I also chat about the importance of skeletal muscle and how this relates to epigenetics and aging, the power of machine learning, and how identifying which methylation positions change as we age may give us insight into the underlying reason as to WHY we age rather than just HOW. She is now focused on creating an atas of epigenetics for all human tissues at the cellular level by combining 75,000 DNA methylation profiles across 18 tissues. In this episode of Everything Epigenetics, you’ll learn about:  How Dr. Voisin got her start in statistics and biology The importance of skeletal muscle tissue and how this relates to Epigenetics and AgingWhen to start exercising and moving your bodyThe importance of weight lifting How often we should be moving our body Why Dr. Voisin decided to develop this type of Epigenetic ClockThe limitations of the Horvath 2013 Clock as it relates to skeletal muscle The complications of data miningThe importance of collaboration and data sharing  How Dr. Voisin created her muscle-specific Epigenetic Clock The power of machine learningHow the muscle clock outperforms Dr. Steve Horvath’s 2013 pan-tissue ClockDr. Voisin’s epigenetic wide association studies (EWAS) she performedDifferentiated methylated positions (DMPs) in this studyDifferentiated methylation regions (DMRs) in this studyThe utility/application of the skeletal muscle Epigenetic ClockDr. Voisin’s next big project (I’m so excited about her next project!!!) MEAT (muscle epigenetic age test)Where to find Dr. Voisin: Email: [email protected] Twitter: https://www.vu.edu.au/research/sarah-voisin GitHub account:https://github.com/sarah-voisin Thank you for joining us at the Everything Epigenetics Podcast and remember you have control over your Epigenetics, so tune in next time to learn more about how.