Table 4.
Logistic regression analysis for dyslipidemia risk
|
|
Combined* |
KoGES |
KCMS |
|||||||
---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
n (MAF) |
|
|
n (MAF) |
|
|
||
SNP (allele, gene) | Subject | OR (SE) | P -value † | Control | Case | OR (SE) | P -value † | Control | Case | OR (SE) | P -value † |
rs4149270 (C>T, ABCA1) |
All |
1.157 (0.034) |
1.55 × 10
-5
|
2048 (0.330) |
3480 (0.359) |
1.136 (0.042) |
2.49 × 10
-3
|
1305 (0.275) |
1728 (0.366) |
1.194 (0.056) |
1.55 × 10
-3
|
|
TE |
1.185 (0.064) |
0.00826 |
594 (0.305) |
1227 (0.350) |
1.199 (0.077) |
1.84 × 10-2 |
242 (0.349) |
583 (0.387) |
1.151 (0.115) |
0.222 |
|
NTE |
1.126 (0.060) |
0.0491 |
755 (0.342) |
1067 (0.364) |
1.135 (0.073) |
0.0816 |
499 (0.327) |
337 (0.347) |
1.106 (0.106) |
0.344 |
rs6589566 (A>G, APOA5) |
All |
1.156 (0.040) |
2.77 × 10
-4
|
2047 (0.203) |
3481 (0.224) |
1.150 (0.050) |
5.13 × 10
-3
|
1305 (0.203) |
1735 (0.228) |
1.167 (0.066) |
1.99 × 10
-2
|
|
TE |
1.148 (0.075) |
0.0648 |
593 (0.205) |
1227 (0.222) |
1.128 (0.090) |
0.182 |
247 (0.206) |
589 (0.235) |
1.195 (0.134) |
0.185 |
|
NTE |
1.222 (0.072) |
0.00536 |
755 (0.203) |
1068 (0.224) |
1.176 (0.087) |
0.0628 |
493 (0.195) |
338 (0.235) |
1.328 (0.128) |
2.68 × 10-2 |
rs4420638 (T>C, APOC1) |
All |
1.232 (0.052) |
5.53 × 10-5 |
2050 (0.100) |
3478 (0.125) |
1.286 (0.065) |
9.52 × 10-5 |
1309 (0.107) |
1742 (0.120) |
1.140 (0.087) |
0.132 |
|
TE |
1.158 (0.100) |
0.142 |
593 (0.094) |
1227 (0.115) |
1.266 (0.122) |
0.0528 |
248 (0.113) |
590 (0.114) |
0.962 (0.176) |
0.828 |
|
NTE |
1.186 (0.091) |
0.0614 |
755 (0.109) |
1065 (0.131) |
1.220 (0.109) |
0.0677 |
495 (0.103) |
339 (0.111) |
1.110 (0.168) |
0.535 |
rs261332(G>A, LIPC) |
All |
0.883 (0.049) |
2.18 × 10-3 |
2047 (0.226) |
3481 (0.214) |
0.918 (0.049) |
0.0823 |
1308 (0.225) |
1745 (0.198) |
0.834 (0.065) |
5.38 × 10-3 |
|
TE |
0.901 (0.082) |
0.177 |
591 (0.222) |
1229 (0.216) |
0.959 (0.089) |
0.635 |
248 (0.242) |
590 (0.204) |
0.807 (0.128) |
0.0934 |
|
NTE |
0.818 (0.071) |
4.68 × 10-3 |
755 (0.232) |
1066 (0.201) |
0.810 (0.085) |
1.27 × 10-2 |
495 (0.211) |
339 (0.187) |
0.839 (0.129) |
0.175 |
rs6586891 (C>A, LPL) |
All |
0.854 (0.034) |
4.31 × 10
-6
|
2051 (0.343) |
3485 (0.315) |
0.859 (0.043) |
4.37 × 10
-4
|
1304 (0.345) |
1739 (0.309) |
0.846 (0.057) |
3.10 × 10
-3
|
|
TE |
0.867 (0.065) |
0.0275 |
594 (0.329) |
1230 (0.316) |
0.919 (0.078) |
0.276 |
247 (0.360) |
590 (0.302) |
0.758 (0.118) |
0.190 |
NTE | 0.842 (0.062) | 0.00555 | 755 (0.341) | 1069 (0.313) | 0.862 (0.076) | 4.88 × 10-2 | 494 (0.333) | 338 (0.288) | 0.803 (0.108) | 4.32 × 10-2 |
*Combined: combined meta-analysis of association signals in the KoGES and KCMS populations in a fixed effect model.
†Superscript p-values indicate significant associations. Significance: p < 0.005 (0.05/10 SNPs) in the combined population; p < 0.05 in the KoGES and KCMS populations.
Boldface letters indicate reproducible associations in all three populations.