Machine-learning dissection of Human Accelerated Regions in primate neurodevelopment
S. Whalen, F. Inoue, H. Ryu, T. Fair, E. Markenscoff-Papadimitriou, K. Keough, M. Kircher, B. Martin, B. Alvarado, O. Elor, D. L. Cintron, A. Williams, M. A. H. Samee, S. Thomas, R. Krencik, , K. S. Pollard
The paper uses machine learning to analyze human-chimpanzee variants in HARs, finding 43% affect chromatin state and 14% affect neurodevelopmental enhancer activity, with species-specific activity predicted by transcription factor footprints.
bioRxiv · Sep 28, 2022Evolutionary Biology