highly significantP =0.002
In this comparison, age remained highly significant ( P =0.002, GLM), but smoking (as PY or by category) or case status did not show any effect ( Table 2 ).
In this comparison, age remained highly significant ( P =0.002, GLM), but smoking (as PY or by category) or case status did not show any effect ( Table 2 ).
In this analysis, the effect of age was borderline significant ( P =0.067, GLM), while cases had significantly higher levels of D7S1482 mutations than controls ( P =0.017, GLM).
In this model, only the effect of age was significant ( P =0.021, GLM), whereas cases had higher mutation levels but this did not reach statistical significance ( P =0.104, GLM) ( Table 2 ).
Although there was a clear trend towards increasing mutation frequency with increasing age, substantial individual differences were also observed.