Stuvanè
Regular Member
- Messages
- 606
- Reaction score
- 606
- Points
- 93
- Location
- Milan
- Ethnic group
- Italian
- Y-DNA haplogroup
- J2
- mtDNA haplogroup
- H1e
@Angela
@Palermo
@Bigsnake
But in fact I wouldnt't recommend puntDNAL and Gedrosia calculators for their modern oracles, which are evidently calibrated to examine mainly Middle Eastern populations. In fact, they tend to overestimate the Caucasian and Middle Eastern components.
Mine is a rustic and rough method to simulate the G25 without too many pretensions: for people of European origin I'd say to dwell only on the ancestral percentages, in particular those of Anatolian_NF and European_HG detected by Puntdnal k12. Multiplying them by a coefficient of 1.5 you should find - at a guess - the EEF and Steppe values proposed in some G25 tools (the residual difference to get 100% usually flows back into WHF, Extra-CHG, Levant_natufian ... )
With all the necessary caveats, the models of the mixed more population sharing of PuntDNAL k12 ancient seem reasonable and quite acceptable: 60-65% or more of ancient European neolithic samples + ca. 35- 40% of Steppe (Poltavka/Yamnaya samples) seem to me to be fairly central values in the case of northern Italians.
Let me know if it works
#PopulationPercent
1 Anatolian_NF 39.51
2 European_HG 25.59
3 Caucasus_HG 24.45
4 Near_East 9
5 Siberian 1.45
Mixed Mode Population Sharing:
@Palermo
@Bigsnake
But in fact I wouldnt't recommend puntDNAL and Gedrosia calculators for their modern oracles, which are evidently calibrated to examine mainly Middle Eastern populations. In fact, they tend to overestimate the Caucasian and Middle Eastern components.
Mine is a rustic and rough method to simulate the G25 without too many pretensions: for people of European origin I'd say to dwell only on the ancestral percentages, in particular those of Anatolian_NF and European_HG detected by Puntdnal k12. Multiplying them by a coefficient of 1.5 you should find - at a guess - the EEF and Steppe values proposed in some G25 tools (the residual difference to get 100% usually flows back into WHF, Extra-CHG, Levant_natufian ... )
With all the necessary caveats, the models of the mixed more population sharing of PuntDNAL k12 ancient seem reasonable and quite acceptable: 60-65% or more of ancient European neolithic samples + ca. 35- 40% of Steppe (Poltavka/Yamnaya samples) seem to me to be fairly central values in the case of northern Italians.
Let me know if it works
#PopulationPercent
1 Anatolian_NF 39.51
2 European_HG 25.59
3 Caucasus_HG 24.45
4 Near_East 9
5 Siberian 1.45
Mixed Mode Population Sharing:
# | Primary Population (source) | Secondary Population (source) | Distance | |||||
1 | 59.2% | LBK_EN_I0054 | + | 40.8% | Poltavka_I0440 | @ | 3.29 | |
2 | 57.7% | Stuttgart_SG | + | 42.3% | Poltavka_I0440 | @ | 3.33 | |
3 | 61.2% | BattleAxe_Sweden_SG_RISE94 | + | 38.8% | Starcevo_MN_I0174 | @ | 3.81 | |
4 | 57.6% | LBK_EN_I0054 | + | 42.4% | Yamnaya_Samara_I0443 | @ | 4 | |
5 | 62.4% | Iceman_MN_SG | + | 37.6% | Poltavka_I0440 | @ | 4.18 | |
6 | 60.4% | LBK_EN_I0054 | + | 39.6% | Yamnaya_Kalmykia_SG_RISE552 | @ | 4.21 | |
7 | 58.9% | Stuttgart_SG | + | 41.1% | Yamnaya_Kalmykia_SG_RISE552 | @ | 4.21 | |
8 | 61% | Hungary_EN_I0495 | + | 39% | Poltavka_I0440 | @ | 4.37 | |
9 | 59.2% | Iberia_EN_I0412 | + | 40.8% | Poltavka_I0440 | @ | 4.41 | |
10 | 59.9% | LBK_EN_I0054 | + | 40.1% | Yamnaya_Samara_I0231 | @ | 4.55 | |
11 | 59.7% | BattleAxe_Sweden_SG_RISE94 | + | 40.3% | LBK_EN_I0054 | @ | 4.65 | |
12 | 63.5% | Iceman_MN_SG | + | 36.5% | Yamnaya_Kalmykia_SG_RISE552 | @ | 4.65 | |
13 | 56.2% | Stuttgart_SG | + | 43.8% | Yamnaya_Samara_I0443 | @ | 4.66 | |
14 | 57.6% | Starcevo_MN_I0174 | + | 42.4% | Poltavka_I0440 | @ | 4.67 | |
15 | 56% | Starcevo_MN_I0174 | + | 44% | Yamnaya_Samara_I0443 | @ | 4.68 | |
16 | 60.2% | LBK_EN_I0054 | + | 39.8% | Afanasievo_SG_RISE511 | @ | 4.87 | |
17 | 52.5% | Sintashta_MBA_RISE_386 | + | 47.5% | Starcevo_MN_I0174 | @ | 4.92 | |
18 | 60.4% | Iberia_EN_I0412 | + | 39.6% | Yamnaya_Kalmykia_SG_RISE552 | @ | 4.93 | |
19 | 58.4% | Stuttgart_SG | + | 41.6% | Yamnaya_Samara_I0231 | @ | 4.94 | |
20 | 62.1% | Hungary_EN_I0495 | + | 37.9% | Yamnaya_Kalmykia_SG_RISE552 | @ | 5.09 |