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. 2015 Apr 24;2(6):636–647. doi: 10.1002/acn3.201

Table 1.

Associations between CpGs or index SNPs and NP burden and AD diagnosis

SNP Position Gene SNP to NP association SNP to AD association
P-value P-value
rs6656401 1:207692049 CR1 0.0169 1.1E-04
rs744373 2:127894615 BIN1 0.1790 0.2243
rs9349407 6:47453378 CD2AP 0.4393 0.6703
rs11767557 7:143109139 EPHA1 0.4565 0.6931
rs11136000 8:27464519 CLU 0.4878 0.4364
rs610932 11:59939307 MS4A6A 0.7040 0.8746
rs4938933 11:60034429 MS4A4A 0.9301 0.9305
rs7110631 11:85856187 PICALM 0.3863 0.5214
rs3752246 19:1056492 ABCA7 0.2102 0.6958
anye4 APOE 3.8E-23 1.6E-13
rs3865444 19:51727962 CD33 0.1233 0.0951
BIN1 (53 tested) Position Chromatin state CpG to NP association CpG to AD association
P-value Direction* P-value Direction*
cg22883290 127800646 Weak transcribed/low signal proximal to active regions 3.7E-08 + 1.5E-05 +
cg19153828 127782651 Strong promoter 0.0002 + 0.0012 +
cg04019522 127852450 Active enhancer 0.0002 + 1.1E-04 +
cg09006514 127800616 Weak transcribed/low signal proximal to active regions 0.0013 + 0.0060 +
cg18981277 127805910 Strong transcription 0.0022 0.0232
Position Chromatin state CpG to NP CpG to AD
CD2AP (20 tested)
 cg20172563 47487173 Low signal 7.5E-06 + 0.0043 +
CLU (40 tested)
 cg16292768 27467783 Active TSS flanking 3.7E-05 0.0003
 cg08594681 27468684 Active TSS flanking 8.4E-04 0.0847
 cg11783834 27469331 Active TSS flanking 0.0029 0.0976
 cg13488078 27469338 Active TSS flanking 0.0029 0.0034
 cg20918219 27493854 Weak enhancer 0.0035 + 0.0025 +
MS4A6A (12 tested)
 cg03055440 59950405 Low signal 0.0015 0.0012
 cg07170641 59950068 Low signal 0.0016 0.0161
 cg18159934 59942032 Low signal 0.0030 + 0.0583 +
ABCA7 (91 tested)
 cg02308560 1071176 PC repressed 3.1E-08 + 5.0E-06 +
 cg04587220 1071208 PC repressed 5.0E-06 + 2.3E-04 +
APOE (41 tested)
 cg18799241 45412599 Weak transcribed/low signal proximal to active regions 6.2E-04 + 0.0241 +

Only those features meeting a Benjamini-Hochberg threshold of significance are presented. All models are adjusted for age at death, sex, study,batch effect, and bisulfide conversion QC probes. CR1 (31 CpGs), EPHA1 (60 CpGs), MS4A4A (11 CpGs), PICALM (25 CpGs) and CD33 (12 CpGs) showed no CpGs that met multiple comparisons cutoff.

*

“+” means more methylation is associated with more pathology or increased odds of AD, “−” means more methylation is assoicated with less pathology or decreased odds of AD.