Table 1.

Genes exhibiting Tag-SNPs associated with the risk of developing AD and age at onsert following the systematic genetic analysis of 1,156 SNPs by microarray experiments.

GENE	RefSeq	Chr.	Chromosomal locationa	Differential expressionb	Number of studied SNPs	Number of associated SNPsc	Association with age at onsetc
MYO10	NM_012334	5	16,715,016–16,989,385	+ 201%	103	24	4
ITGA2	NM_002203	5	52,320,913–52,426,365	+ 215%	26	3
LOC221608	NM_007047	6	26,473,377–26,486,525	− 45%	13	2
TNXB	NM_019105	6	32,116,911–32,185,131	+ 100%	31	4
AGER	NM_001136	6	32,256,724–32,260,001	− 53%	7	4
HLA-DRA	NM_019111	6	32,515,625–32,520,799	− 57%	10	5
PHF1	NM_002636	6	33,486,934–33,492,187	− 47%	4	3
CCDN3	NM_001760	6	42,010,650–42,017,530	+ 157%	9	3
IL-33	NM_033439	9	6,231,678–6,247,982	− 66%	4	2
FLJ20375	AK000382	9	20,939,639–20,985,947	− 62%	55	9
B4GALT1	NM_001497	9	33,100,642–33,157,231	− 43 %	9	5
CNTFR	NM_001842	9	34,541,431–34,579,722	+132 %	16	7	2
CA9	NM_001216	9	35,663,915–35,671,152	−50%	11	1
KIAA1462	NM_020848	10	30,343,390–30,376,806	+ 262%	18	3	5
CAMK2G	NM_001222	10	75,242,265–75,304,344	−50%	10	7
ANGPT4	NM_009641	20	801,604–844,605	− 65%	42	6	5
HSPA12B	NM_175842	20	4,103,675–4,116,352	− 42%	15	2

^aAssembly Mar. 2006 (http://genome.ucsc.edu/cgi-bin/hgGateway)

^bdifferential expression between brain of AD cases and controls

^cnominal P-value < 0.05