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. 2022 Mar 28;47(8):1550–1560. doi: 10.1038/s41386-022-01305-5

Table 1.

Genes with the strongest positive and negative spatiotemporal correlations with OXTR.

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.