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. 2022 May 19;44(3):1525–1550. doi: 10.1007/s11357-022-00580-w

Table 1.

TEs selected by the machine learning analysis. The 8 TEs are able to discriminate Converterpre vs Converterpost condition patients with an AUC accuracy of 78%. Chr, chromosome; Start, TE start position on Chr; End, TE end position on Chr; TE class, TE class type; Gene, gene in which a TE is located

Chr Start End TE Gene
1 108,926,372 108,927,695 L1M3 GPSM2
1 174,901,607 174,902,942 L1PA10 RABGAP1L/KIAA0471
7 149,486,060 149,486,843 L1ME3D ZNF746
9 124,885,506 124,887,215 L2a GOLGA1
11 88,331,047 88,331,958 MER21A CTSC
17 45,631,040 45,631,664 MER77B LINC02210
21 15,738,037 15,738,674 L1M5 USP25
X 17,096,688 17,097,359 L1MEd REPS2