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. 2020 Mar 10;74(1):213–225. doi: 10.3233/JAD-190434

Table 2.

Logistic regression (age as covariate) results for each protein with amyloid status as the outcome variable

Sample set protein Logistic Regression
beta p q N
Oxford
FCN2 –0.466 0.000* 0.000* 824
FGG –0.071 0.300 0.521 891
Cystatin C –0.135 0.049* 0.124 898
Clusterin –0.138 0.045* 0.124 906
B2M –0.266 0.000* 0.004* 832
AGP –0.009 0.901 0.963 875
CP –0.028 0.679 0.780 883
A2M –0.017 0.813 0.900 896
ApoA1 –0.073 0.290 0.521 886
ApoC3 –0.001 0.991 0.991 900
apoE –0.220 0.002* 0.008* 901
TTR –0.039 0.572 0.772 901
CFH –0.049 0.475 0.701 907
CRP –0.139 0.049* 0.124 854
A1AT –0.213 0.004* 0.016* 784
PEDF –0.006 0.933 0.964 853
SAP –0.052 0.449 0.697 869
CC4 –0.243 0.001* 0.005* 894
BDNF –0.036 0.603 0.778 887
Cathepsin D –0.238 0.001* 0.005* 880
sICAM-1 –0.148 0.033* 0.124 893
RANTES –0.100 0.146 0.309 905
NCAM –0.032 0.645 0.780 891
sVCAM-1 –0.071 0.302 0.521 891
PAI.1 –0.134 0.052 0.124 890
Cardiff
CR1 –0.077 0.378 0.617 770
TCC –0.112 0.149 0.309 770
CFB –0.042 0.567 0.772 788
CFI –0.284 0.000* 0.004* 754
Eotaxin –0.176 0.037* 0.124 749
MCP –0.031 0.680 0.780 769

*Statistically significant < 0.05.