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. Author manuscript; available in PMC: 2015 Apr 13.
Published in final edited form as: Am J Med Genet A. 2013 Feb 26;0(4):771–778. doi: 10.1002/ajmg.a.35833

TABLE VI.

Outcome of Regression Models That Examine the Effect of Repeat Structure Features on the Magnitude of Repeat Instability

Maternal transmission N = 457 Paternal transmissions N = 81
Parental predictor
variable		 β coeff. Standardized
β coeff.		 P-value R2 β coeff. Standardized
β		 P-value R2
Repeat length 1.14 0.34 <0.0001 0.12 0.34 0.27 0.0151 0.06
No. of AGGs −11.49 −0.44 <0.0001 0.19 −3.80 −0.41 0.0001 0.16
3′ uninterrupted repeat 0.84 0.48 <0.0001 0.23 0.25 0.40 0.0002 0.15
No. of AGGs + repeat length −9.62
0.74		 −0.37
0.22		 <0.0001 0.23 −3.42
0.10		 −0.37
0.08		 0.0006 0.15
No. of AGGs + 3′ uninterrupted repeata −3.29
0.65		 −0.13
0.38		 <0.0001 0.23 −2.28
0.11		 0.30
0.44		 0. 0006 0.15

The beta coefficient (β coeff.) for each predictor variable and P-value and R2 for the overall model are provided.

a

The equation was a linear fit to y = β1x + B0 for single terms and y = (β1x1 + β2x2) + B0 for two term equations. All models were significant thus the change in R2, or the variance explained by the different models, was emphasized.