Evolutionary analysis of mammalian genomes and associations to human disease

摘要: Statistical models of DNA sequence evolution for analysing protein-coding genes can be used to estimate rates molecular and detect signals of natural selection. Genes that have undergone positive selection during evolution are indicative functional adaptations drive species differences. Genes underwent during the humans four mammals model human diseases (mouse, rat, chimpanzee dog) were identified, using maximum likelihood methods. I show genes under positive selection implicated in such as epithelial cancers, schizophrenia, autoimmune Alzheimer’s disease. Comparisons with great apes shown display biomedical disease differences, varying degrees pathology, differing symptomatology or incidence. The lineage was found more adaptive than any the other lineages. In addition, evidence support hypothesis that positively selected tend interact each other. This is first such evidence detected among mammalian may important in identifying pathways causative differences. The genome scan analysis spurred an in*depth evolutionary the nuclear receptors, a family transcription factors. 12 48 nuclear receptors were mammalia. The androgen receptor was along lineage. Positively sites were present major activation domain, which has implications ligand recognition binding. Studying which associated biomedical disease differences between way gain insight into the molecular causes provide method predict when animal models do not mirror biology.