Table 2 Top 5 pseudo answers identified by CST and SKAT
From: A clustering approach to identify rare variants associated with hypertension
Method | Rank | Rep freqa | Gene | Number of SNPs identified | SNP with the strongest effect | Cumulative effect | |||
|---|---|---|---|---|---|---|---|---|---|
Position | SBP | DBP | SBP | DBP | |||||
CST | 1 | 22 | MAP4 | 7 | 47912407 | −20.621 | −9.595 | −114.19 | −53.134 |
2 | 16 | ZBTB38 | 1 | 141164276 | −0.007 | −0.002 | −0.007 | −0.002 | |
3 | 9 | SEMA3F | 4 | 50225153 | 1.418 | 1.013 | 3.063 | 2.189 | |
4 | 7 | MLH1 | 6 | 37092025 | 0 | −0.449 | 0 | −2.084 | |
5 | 7 | SEMA3F | 3 | 50222879 | 1.361 | 0.973 | 3.472 | 2.482 | |
SKAT | 1 | 10 | ZBTB38 | 1 | 141164276 | −0.007 | −0.002 | −0.007 | −0.002 |
2 | 6 | ARHGEF3 | 2 | 56835799 | −0.067 | −0.062 | −0.127 | −0.117 | |
3 | 5 | MAP4 | 1 | 48040284 | −20.808 | −9.682 | −20.808 | −9.682 | |
4 | 5 | FLNB | 1 | 58134409 | 1.687 | 0.249 | 1.687 | 0.249 | |
5 | 4 | MUC13 | 1 | 124646631 | 0 | −2.178 | 0 | −2.178 | |