Table 2. Principal parameter abbreviations.

Parameter	Definition
xi	∀Gi∈G:P(MS|Gi) = xi– the penetrance of the (ith) genotype in (G)
{X}	Set of all penetrance values (xi) in the (G) subset
x	P(MS|G) —the expected penetrance for the (G) subset
x’	P(MS|IGMS) —the expected penetrance for the (IGMS) subset
${\sigma }_X^2$	Variance of the penetrance values for the (G) subset— Var(X)
x1	P(MS|G1) —the expected penetrance for the (G1) subset
x1’	P(MS|G1,IGMS) —the expected penetrance for the (G1, IGMS) subset
${\sigma }_{x1}^2$	Variance of the penetrance values for the (G1) subset
x2	P(MS|G2) —the expected penetrance for the (G2) subset
x2’	P(MS|G2,IGMS)– the expected penetrance for the (G2, IGMS) subset
${\sigma }_{x2}^2$	Variance of the penetrance values for the (G2) subset
h(u)	Hazard function for men—where: u = P(E)
g(u)	Hazard function for women—where: u = P(E)
R	= g(u)/h(u) —proportionality constant for hazard
C	P(MS)1/P(MS)2 —ratio of P(MS) at Timepoint-1 to that at Timepoint-2
p	P(G1|G) —the proportion of the (G) subset that is also in (G1)
a	= (x1/x)
b	= (x2/x)
v	= (x1’/x’)
w	= (x2’/x’)
r	= (x1’/x1)
s	= (x2’/x2)
t	= P(G1|MS)/P(G2|MS)
c	= P(MS|G,E,M) - the limiting value of the exponential curve for men
d	= P(MS|G,E,F)- the limiting value of the exponential curve for women