> Á¤º¸¼¾ÅÍ > ¼¼¹Ì³ª/Çà»ç
Á¦¸ñ | 2020³â 9¿ù 16ÀÏ »ý¹°Á¤º¸ÇÐ ¼¼¹Ì³ª | ||
---|---|---|---|
ÀÛ¼ºÀÚ | °ü¸®ÀÚ | ÀÛ¼ºÀÏ | 2020-09-11 |
¼¿ï´ëÇб³ »ý¹°Á¤º¸ÇÐ Çùµ¿°úÁ¤ ÁÖÃÖ·Î ¼¼¹Ì³ª¸¦ ¾Æ·¡¿Í °°ÀÌ ¿°íÀÚ ÇÏ¿À´Ï ¸¹Àº Âü¿© ¹Ù¶ø´Ï´Ù. ¼¼¹Ì³ª´Â ZoomÀ» ÅëÇÑ ¿Â¶óÀÎ °ÀÇ·Î ¿¹Á¤µÇ¾î ÀÖÀ¸¸ç °ÀÇ¿¡ Âü¿©ÇÏ°íÀÚ ÇϽô ºÐ²²¼´Â¡¡mari911@snu.ac.kr·Î ¸ÞÀÏ ÁÖ½Ã¸é °ÀÇ ¸µÅ© Àü´Þµå¸®µµ·Ï ÇÏ°Ú½À´Ï´Ù.¡¡ ÀϽÃ:¡¡¡¡2020³â 9¿ù 16ÀÏ¡¡¼ö¿äÀÏ ¿ÀÀü 11½Ã ¿¬»ç:¡¡¡¡ÀÌÈ£¼± ¿¬»ç´Ô¡¡(±¹¸³°úÇмö»ç¿¬±¸¼Ò) TITLE Epigenetic Clocks and Human Diseases Abstract Epigenetic clocks comprise a
set of CpG sites whose DNA methylation levels measure subject age. Many
researchers have built age prediction models with high accuracy based on
age-dependent methylation changes in certain CpG loci. These clocks are
acknowledged as a highly accurate molecular correlate of chronological age in
humans and other vertebrates. For now, DNA methylation based on epigenetic
clocks, namely epigenetic or DNA methylation age, serves as a new standard to
track chronological age and predict biological age.¡¡Currently, a growing
number of studies have shown that dynamic DNA methylation throughout human
lifetime exhibits strong correlation with age and age-related outcomes. In this
lecture, we provide an overview of the dynamic signatures of DNA methylation
during aging and emphasize its practical utility in the prediction of various
age-related outcomes. In addition, we show four
different epigenetic clocks (Pan-tissue, Hannum, PhenoAge, and GrimAge), and
their accelerations, on metabolic syndrome and metabolic-related lifestyle
factors, in Koreans. |
|||