Table 1.
Rank | Top correlated | Top anti-correlated | ||||
---|---|---|---|---|---|---|
Gene | Trajectory | Arithmetic | Gene | Trajectory | Arithmetic | |
1 | FGFR3 | 0.368 | 0.365 | DEPDC5 | −0.381 | −0.365 |
2 | GRAMD1C | 0.358 | 0.363 | CACNA1A | −0.368 | −0.382 |
3 | C1orf88 | 0.356 | 0.358 | KLC2 | −0.363 | −0.373 |
4 | NTSR2 | 0.35 | 0.318 | KCNC3 | −0.363 | −0.313 |
5 | INHBB | 0.348 | 0.328 | C2CD3 | −0.361 | −0.319 |
6 | CXorf59 | 0.343 | 0.348 | HDAC8 | −0.359 | −0.345 |
7 | KCNN3 | 0.341 | 0.336 | CTCF | −0.349 | −0.3 |
8 | DIRAS3 | 0.34 | 0.286 | MAP3K12 | −0.347 | −0.356 |
9 | STON2 | 0.338 | 0.345 | MICAL2 | −0.345 | −0.313 |
10 | RDH10 | 0.335 | 0.338 | APBA2 | −0.345 | −0.285 |
11 | AGXT2L1 | 0.328 | 0.301 | MORC2 | −0.343 | −0.334 |
12 | SIL1 | 0.327 | 0.293 | NOVA1 | −0.341 | −0.318 |
13 | HRSP12 | 0.326 | 0.316 | NFIX | −0.34 | −0.321 |
14 | GLUD1 | 0.323 | 0.309 | KCNJ3 | −0.338 | −0.333 |
15 | GNG12 | 0.323 | 0.32 | KDM5C | −0.337 | −0.345 |
16 | PBXIP1 | 0.321 | 0.304 | SEMA4C | −0.333 | −0.315 |
17 | RUNX3 | 0.319 | 0.289 | EPS15L1 | −0.332 | −0.33 |
18 | F3 | 0.317 | 0.312 | TMEM25 | −0.33 | −0.325 |
19 | ACSBG1 | 0.317 | 0.303 | DHX8 | −0.33 | −0.307 |
20 | GJA1 | 0.316 | 0.301 | ADAM11 | −0.329 | −0.275 |
Two approaches for this analysis are presented. “Trajectory” represents a mean correlation across the lifespan trajectory, in which each life period receives an equal weighting. “Arithmetic” represents the mean of individual correlations between donors, in which each donor is weighted equally.