Question: why use glm instead of lm?
Answer: a negative binomial for overdispersed count data) tend to have better power properties and in some instances have considerably higher power. ... We conclude that, when GLM s are thought to fit count data well, and when any necessary steps are taken to correct type I error rates, they should be used rather than LM s.