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. 2011 Nov 30;6(11):e27891. doi: 10.1371/journal.pone.0027891

Table 3. List of candidate SNPs used for the analysis presented in the last set of Table 2.

SNP_rs_ID Chr physical_start Gene Symbol SBP association DBP association HTN association algorithm select?
rs12046278 1 10722163 Y Y
rs13401889 2 190618803 Y
rs7571613 2 190513906 LOC653447 Y
rs13423988 2 68764769
rs17806132 2 190416531 PMS1 Y Y Y
rs305489 3 11986162 Y Y
rs7640747 3 37571808 ITGA9 Y
rs448378 3 170583592 MDS1 Y Y
rs9815354 3 41887654 ULK4 Y
rs899364 8 11366953 Y Y
rs2736376 8 11155174 Y
rs7016759 8 49574968 Y
rs1910252 8 49569914 Y
rs11775334 8 10109029 MSRA Y Y
rs1004467 10 104584496 CYP17A1 Y
rs11014166 10 18748803 CACNB2 Y Y Y
rs381815 11 16858843 PLEKHA7 Y
rs11024074 11 16873794 PLEKHA7 Y
rs11612893 12 129290571 Y
rs2681472 12 88533089 ATP2B1 Y Y
rs2681492 12 88537219 ATP2B1 Y Y
rs2384550 12 113837113 Y
rs278126 12 118620099 CIT Y
rs3184504 12 110368990 LNK Y Y Y
rs6495122 15 72912697 Y
rs16982520 20 57192114 Y

In columns 5–7, the entry “Y” indicated that the corresponding SNP's association with the corresponding BP trait was previously identified. The last column shows which of these SNPs were selected in our adaptive prediction algorithm.