Skip to main content

Table 2 Potential biomarkers used in our prognosis prediction model

From: Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer’s disease created by integrative analysis of multi-omics data

  Factor P value Coefficient
Clinical factors Age NA 0.077
Sex NA 0.530
APOE4 NA 0.602
miR-eQTLs MIMAT0019690—rs6721935 0.092 0.181
MIMAT0015080—rs12616298 0.089 − 0.170
MIMAT0005582—rs12997752 0.038 − 0.141
MIMAT0027499—rs76232851 0.093 0.042
MIMAT0019229—rs117574479 0.032 0.152
MIMAT0019229—rs116868325 9.69 × 10−9 0.058
MIMAT0019045—rs3777118 1.10 × 10−4 0.034
MIMAT0021034—rs118073044 0.037 1.078
MIMAT0000751—rs118073044 0.078 − 3.163
MIMAT0001630—rs118073044 0.020 1.654
MIMAT0000086—rs117393460 0.078 0.260
MIMAT0021033—rs72861163 0.037 0.337
MIMAT0030997—rs9507595 0.086 − 0.123
MIMAT0027602—rs17682567 0.072 − 0.050
MIMAT0015080—rs117534907 0.006 − 0.032
MIMAT0023710—rs11855092 0.014 0.156
MIMAT0016899—rs79726130 0.054 − 0.436
MIMAT0028122—rs79726130 0.049 0.465
MIMAT0015080—rs35831886 1.97 × 10−5 1.785
MIMAT0019229—rs35831886 0.008 − 1.688
MIMAT0019045—rs117336092 0.031 − 0.016
MIMAT0019229—rs117099240 0.061 0.028
MIMAT0032029—rs149944930 0.009 0.090
MIMAT0027487—rs2830386 0.069 0.125
  1. miR-eQTLs with adjusted P value < 0.1 obtained from an in-house miR-eQTL database were included