Table 2.

Factors that Impact the Rate of CGG Repeat Instability^[Note]

IndependentVariables	ParameterEstimates	P	OR (95% CI)
Total data set:
Y-intercept	−7.07
CGG-repeat size	.12	<.0001	1.12 (1.08–1.17)
Parental origin	−1.50	.0002	.22 (.10–.49)
Sequenced data set:
Y-intercept	−4.02
Length of 3′ end	.09	.0002	1.10 (1.05–1.15)
Parental origin	−1.46	.0129	.23 (.07–.73)

Note.— The dependent variable is transmission stability. The posterior probability (or predicted risk) for instability can be calculated as follows: for total data set, P(x)=1/[1+e^{-[(-7.07)+(0.12)(CGG-repeatsize)+(-1.50)(parentalorigin)]}]; for sequenced data set, P(x)=1/[1+e^{-[(-4.02)+(0.09)(lengthof3′end)+(-1.46)(parentalorigin)]}].