Table 2 Linear mixed model regression analysis for HD motor progression.

From: DNA methylation study of Huntington’s disease and motor progression in patients and in animal models

Parameter

Outcome: motor score

Outcome: random slope

Coef.

SE

T statistic

P value

Coef.

SE

T statistic

P value

Female

3.375

0.474

7.127

1.16 × 10−12

0.016

0.051

0.316

0.8

Age

2.217

0.045

48.878

<5.0 × 10−300

0.013

0.005

2.749

5.99 × 10−3

CAG length

2.743

0.089

30.757

5.27 × 10−191

0.071

0.010

7.449

1.09 × 10−13

Age at motor onset

−1.542

0.049

−31.687

1.24 × 10−201

−0.010

0.005

−2.006

4.49 × 10−2

Education

−1.877

0.193

−9.742

3.09 × 10−22

−0.083

0.021

−4.037

5.49 × 10−5

Visit

3.516

0.078

45.019

<5.0 × 10−300

    
  1. The table presents the coefficient estimates from two linear regression models: (1) a linear mixed model analysis of 14,850 longitudinal motor scores (dependent variable) across 5204 manifest HD cases from Enroll-HD data 1 and (2) a linear regression model analysis of the resulting random slope estimates (dependent variable) of the same 5204 cases. The linear mixed-effects model included two random-effects (a random intercept term and a random slope term with respect to visit) and several fixed-effect terms (sex, age at baseline, CAG-repeat length, age at motor onset, educational attainment). The empirical Bayes estimate of the random slope was used as a measure of HD motor progression for each of the N = 5204 manifest HD cases. We adjusted the random slope estimate for all fixed effects in our downstream EWAS analysis. The columns report the covariate name, regression coefficient, standard error, Student’s T statistic, and unadjusted two-sided Wald test p value.
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