Excited to read this, I've been worried about the recurrence of these peaks in #PSMC graphs for years. Also, just on time before we submit one (a first for me). #PopulationGenetics #PopulationGenomics #MethodsMatter
https://bsky.app/profile/leonhilgers.bsky.social/post/3lhl5ti3nec25
(If Mastodon doesn't show the Bluesky post: "Avoidable false PSMC population size peaks occur across numerous studies" https://doi.org/10.1016/j.cub.2024.09.028)
‼️These #PSMC #peaks are #artifacts‼️ Seen #PSMC results like this🤔? They are caused by ill-set parameters, #very #common, and #easy #to #solve! For details see 🧵& OA paper @currentbiology.bsky.social 🙂🐢🧬🎉! https://cell.com/current-biology/fulltext/S0960-9822(24)01239-9
Understanding the molecular changes underlying aging is important for developing biomarkers and healthy aging interventions. In this study, the authors used comprehensive multi-omics data to reveal nonlinear molecular profiles across chronological ages, highlighting two substantial variations observed around ages 40 and 60, which are linked to increased disease risks.