Table 4 Effects of genetic risk scores and CSF biomarkers on longitudinal cognitive changes in PD patients.

From: Effects of Alzheimer’s genetic risk scores and CSF biomarkers in de novo Parkinson’s Disease

  

Visuospatial

Memory

Semantic fluency

Frontal/executive

 

Predictors

β (SE)

P

β (SE)

P

β (SE)

P

β (SE)

P

Model 1

GRS-AD

−0.46 (0.14)

0.001*

−0.20 (0.16)

0.210

−0.12 (0.74)

0.877

−0.25 (0.59)

0.679

GRS-PD

0.12 (0.12)

0.344

0.10 (0.15)

0.516

2.14 (0.70)

0.002*

0.79 (0.55)

0.150

GRS-AD*GRS-PD

0.57 (0.17)

0.001*

      

time

−0.05 (0.02)

0.033

−0.03 (0.03)

0.284

−0.26 (0.11)

0.018

−0.60 (0.11)

<0.001*

GRS-AD*time

−0.07 (0.03)

0.037

−0.03 (0.04)

0.532

−0.25 (0.15)

0.111

−0.37 (0.15)

0.015

GRS-PD*time

0.03 (0.03)

0.376

0.05 (0.04)

0.214

0.07 (0.14)

0.611

0.43 (0.14)

0.002*

Model 2

GRS-AD

−0.50 (0.15)

0.001*

−0.20 (0.18)

0.268

0.04 (0.84)

0.965

−0.20 (0.65)

0.755

GRS-PD

0.11 (0.13)

0.417

0.24 (0.16)

0.132

2.47 (0.76)

0.001*

0.96 (0.58)

0.100

GRS-AD*GRS-PD

0.52 (0.18)

0.004

      

time

−0.0004 (0.07)

0.996

0.23 (0.09)

0.009

0.54 (0.32)

0.098

0.23 (0.32)

0.476

GRS-AD*time

−0.05 (0.04)

0.155

0.04 (0.05)

0.383

−0.09 (0.16)

0.592

−0.15 (0.16)

0.357

GRS-PD*time

0.03 (0.03)

0.287

0.05 (0.04)

0.257

−0.009 (0.146)

0.948

0.47 (0.15)

0.001*

Baseline p-tau/Aβ42

−0.004 (0.01)

0.694

0.003 (0.01)

0.787

−0.07 (0.06)

0.245

−0.02 (0.05)

0.612

Baseline αSyn

−0.05 (0.14)

0.743

0.09 (0.18)

0.609

0.24 (0.84)

0.776

1.14 (0.64)

0.074

Baseline p-tau/Aβ42*time

−0.005 (0.003)

0.082

−0.02 (0.003)

<0.001*

−0.05 (0.01)

<0.001*

−0.07 (0.01)

<0.001*

Baseline αSyn*time

0.01 (0.04)

0.700

0.02 (0.04)

0.599

0.04 (0.16)

0.799

0.18 (0.16)

0.274

  1. AD Alzheimer’s disease, GRS Genetic risk score, PD Parkinson’s disease, p-tau/Aβ42 Phosphorylated tau/42-residue amyloid-beta.
  2. Data are presented as the results of linear mixed models for each cognitive score, using age, sex, education, and the first four principal components as covariates. Predictors included GRS-AD, GRS-PD, GRS-AD*time, and GRS-PD*time for model 1. Baseline CSF p-tau/Aβ42, αSyn, p-tau/Aβ42*time, and αSyn*time were included as predictors in model 2.
  3. Significant P values after false discovery rate correction for multiple statistical tests are indicated in bold.