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. Author manuscript; available in PMC: 2014 Jan 1.
Published in final edited form as: Eur J Hum Genet. 2012 Nov 28;21(7):779–783. doi: 10.1038/ejhg.2012.242

Table 2.

Variable selection results.

Genomic region1 Location2 Phenotype SNPs Estimate Individual
p-value3 		Overall
p-value4
F12 & GRK6 5q33-35 aPTT rs2545801 −0.029507 0.041 < 2.2×10−16
rs1801020 −0.022793 0.1303
HRG & KNG1 3q27 aPTT rs1042445 0.010413 0.00704 < 2.2×10−16
rs2062632 0.007951 0.02904
rs2228243 0.018532 2.34×10−05
rs710446 −0.021965 2.96×10−12
rs9898 −0.014528 6.23×10−05
KLKB1 4q35 aPTT rs4253304 0.015523 6.15×10−08 6.15×10−08
ABO 9q34 aPTT rs657152 0.015269 0.000263 1.269×10−10
rs651007 0.006843 0.154113
F5 & SLC19A2 1q23 APC resistance rs6025 0.28882 <2×10−16 < 2.2×10−16
HRG 3q27 APC resistance rs16860992 −0.116523 0.043113 2.2×10−16
rs2228243 −0.088207 0.125584
rs9898 −0.014962 0.000618

For each SNP in a genomic region the estimate gives an indication of the independent effect of that SNP on the trait. Akaike Information Criterion was used to identify SNPs with a significant independent contribution to the phenotype of interest in a step-wise multiple regression of significantly associated SNPs in each genomic region.

1

Genomic regions are represented by gene names.

2

Location is cytogenetic location.

3

The individual p-value gives an indication of the statistical independence of a SNP from others included in the model.

4

The overall p-value indicates the strength of the combined evidence against the null hypothesis when all SNPs are included.