Assessing the Effect of Selection at the Amino Acid Level in Malaria Antigen Sequences Through Bayesian Generalized Linear Models
利用贝叶斯广义线性模型评估疟疾抗原序列氨基酸位点的选择作用
We present a statistical approach for identifying residues in DNA sequences for which diversity may be maintained by natural selection. Bayesian generalized linear models (GLMs) are used to describe patterns of mutation in a DNA sequence alignment. Posterior distributions of key quantities, such as probabilities of nonsynonymous and synonymous mutations per site, are studied. Inference in this class of models is achieved through customary Markov chain Monte Carlo methods.…