Table 2. Multiple Linear Regression Statistics of SNPs Retained by the Forward Model Selection Algorithm.
| Locus | SNP | Nearest Gene | Function | MAFa | HWb | WGHS-1c | WGHS-2c | Combinedc | |||
| Beta | P-Value | Beta | P-Value | Beta | P-Value | ||||||
| 19p13.2 | rs1799969 | ICAM1 | NSd | 0.12 | 0.34 | −41.2 | <2.0E-16 | −49.3 | <2.0E-16 | −43.5 | <2.0E-16 |
| rs5498 | ICAM1 | NSd | 0.43 | 0.15 | 30.4 | <2.0E-16 | 28.3 | <2.0E-16 | 29.7 | <2.0E-16 | |
| rs281437 | ICAM1 | 3′ UTRe | 0.30 | 0.47 | 11.2 | 1.3E-08 | 7.9 | 5.1E-03 | 10.1 | 3.2E-10 | |
| 9q34.2 | rs507666 | ABO | intron | 0.20 | 0.42 | −16.8 | <2.0E-16 | −16.8 | 1.9E-10 | −16.7 | <2.0E-16 |
a
MAF: Minor allele frequency based on the combined samples.
b
HW: Deviation from Hardy-Weinberg equilibrium P-value based on the combined samples.
c
All analyses were performed using adjusted sICAM1 values (see text for details). Beta coefficients and P-values were derived form a multiple linear model that included all 4 SNPs.
d
NS: Non-Synonymous Coding SNP.
e
3′ UTR: 3′ Untranslated Region.