Table 2.
MZ | DZ | ||||||||
---|---|---|---|---|---|---|---|---|---|
Number of pairs | Concordant pairs | Discordant pairs | cc rate | Number of pairs | Concordant pairs | Discordant pairs | cc rate | P for ccMZ = ccDZ | |
Variable | N | N | N | pc (95% CI) | N | N | N | pc (95% CI) | P |
Any mutation (yes/no) | 81 | 20 | 61 | 0.40 (0.32; 0.49) | 89 | 23 | 66 | 0.40 (0.32; 0.49) | 1 |
TET2 mutation (yes/no) | 35 | 4 | 31 | 0.20 (0.10; 0.34) | 38 | 4 | 34 | 0.20 (0.10; 0.34) | 1 |
DNMT3A mutation (yes/no) | 41 | 6 | 35 | 0.25 (0.12; 0.43) | 50 | 6 | 44 | 0.22 (0.11; 0.40) | .86 |
“Only TET2/DNMT3A/ASXL1” vs “no mutation” | 65 | 14 | 51 | 0.33 (0.24; 0.43) | 63 | 11 | 52 | 0.33 (0.24; 0.43) | 1 |
“Max VAF <10%” vs “no mutation” | 57 | 11 | 46 | 0.28 (0.25; 0.32) | 57 | 7 | 50 | 0.28 (0.25; 0.32) | .99 |
Casewise concordance (cc) rates were calculated to estimate a genetic predisposition. If the cc rates are higher in the MZ twins compared with DZ twins, it indicates a genetic predisposition to the variable. We did not find any difference in the cc rates between MZ or DZ in any of the tested variables.