It depends on whether "living longer" is a continuous trait, I suppose.
I could imagine there being 20 or 30 genetic factors that affect your longevity, like whether you are susceptible to lung cancer from smoking.
Having a particular trait is a binary, which introduces the possibility for steps in the distribution; each slice of the population with a particular number of longevity factors has a certain distribution of actual lifespans that add together to form the observed life span, but the distribution of how many people have each distribution could decrease sharply; perhaps millions of people have 24 factors and produce centenarians, thousands have 25 factors and produce 110+, and dozens have 26 factors and produce 120+.
Such a model is entirely made up, pulled from my ass, but it is also quite compatible with our discrete genetics, and would be perfectly compatible with large gaps at the end of the distribution.