From: Finding genes that influence quantitative traits with tree-based clustering
Q1 | Q1A | Q1B | Q2 | Q4 | |||||
---|---|---|---|---|---|---|---|---|---|
Gene | n ≤ 0.01 | Gene | n | Gene | n | Gene | n | Gene | n |
FLT1 | 200 | FLT1 | 200 | FLT1 | 191 | VNN1 | 67 | BUD13 | 170 |
FLJ22662 | 192 | KDR | 200 | KDR | 135 | OR5B2 | 48 | SLC22A1 | 154 |
ZNF713 | 188 | TERT | 197 | MAP2K7 | 135 | PTGIS | 39 | SEPT1 | 129 |
KDR | 187 | ZNF713 | 196 | FOXO3 | 133 | ZNF568 | 38 | CYP3A43 | 116 |
FOXO3 | 170 | C1ORF147 | 194 | HSZFP36 | 94 | METTL2B | 32 | TOB2 | 115 |
KRT3 | 170 | FLJ22662 | 194 | EPHB1 | 90 | GCKR | 32 | NF2 | 85 |
KRT75 | 164 | OR6C4 | 192 | LRP4 | 88 | MUC19 | 31 | NUP188 | 83 |
GRK1 | 162 | PRKCH | 192 | RBM6 | 86 | UNC45B | 31 | OR10T2 | 68 |
E2F2 | 157 | ALX4 | 190 | GRIA4 | 79 | ZNF518B | 31 | C16ORF55 | 67 |
CETP | 155 | E2F2 | 189 | FNDC3A | 78 | VNN3 | 29 | ICAM4 | 65 |
TERT | 155 | ETV6 | 189 | HIST2H2BE | 73 | SIRT1 | 25 | LOC1001316 | 65 |
MAP2K6 | 154 | KRT75 | 189 | HAS3 | 72 | BCHE | 22 | MYCBP | 65 |
VEGFC | 45 | VEGFC | 65 | VEGFC | 65 | SREBF1 | 16 | WBP1 | 65 |
ARNT | 38 | HIF1A | 51 | VEGFA | 19 | LPL | 14 | MUC3A | 61 |
VEGFA | 32 | FLT4 | 51 | ARNT | 18 | RARB | 11 | CNGA3 | 58 |
FLT4 | 51 | VEGFA | 32 | FLT4 | 7 | PDGFD | 8 | GTSE1 | 58 |
ELAVL4 | 15 | ARNT | 37 | HIF1A | 7 | VLDLR | 7 | MMP27 | 58 |
HIF1A | 12 | ELAVL4 | 12 | HIF3A | 2 | VWF | 3 | PIK3R2 | 58 |
HIF3A | 3 | HIF3A | 2 | ELAVL4 | 2 | INSIG1 | 1 | TAAR5 | 56 |