Post your Ancient Match + GEDmatch Reuslts

[Cumansky]

F999918 Loschbour Luxembourg 5.8cm (I-L460)

F999935 Ust-Ishim Siberia 5.1cm (K-M526)

F999916 LBK Stuttgart Germany 4.5cm (mtDNA T2c2)

F999933 BR2 Ludas-Varju-dolo Hungary 4.3cm (J-M67)

F999937 NE1 Polgar-Ferenci-hat Hungary 4.3cm (mtDNA U5b2)

F999944 RISE479 Hungary 4.1cm (I-L1228)

F999950 RISE493 Hun Sarmatian Khakassia Russia 4.0cm (Q-L712)

F999929 IR1 Ludas-Varju-dolo Hungary 3.9cm (N-M231)

F999948 RISE150 Przeclawice Poland 3.8cm (mtDNA U5a1b1)

M411713 Anatolian EF 3.4cm (Unknown)

F999957 RISE497 Arban Russia 3.1cm (F-P142)

M608028 RISE505 Andronovo 2.9cm (Unknown)

F999953 RISE505 Kytmanovo Russia 2.9cm (mtDNA U4a1b)

F999941 RISE98 Sweden 2.9cm (R-M405)

M472767 Srubnaya 2.8cm (Unknown)

XG8392897 Lorga de Dine Portugal 2.7cm (mtDNA U8a)

F999958 RISE495 Arban Russia 2.7cm (R-F3105)

F999943 RISE174 Sweden 2.7cm (mtDNA W1)

M936428 Anatolian EF 2.6cm (Unknown)

M754279 Anatolian EF 2.4cm (Unknown)

HR8370864 Sima del Angel Lucena Spain 2.4cm (mtDNA H3)

F999919 Clovis-Anzick-1 Montana USA 2.3cm (Q-Z780)

F999967 RISE511 Bateni Russia 2.3cm (mtDNA J2a2a)

M340653 Ancient Armenia 1.7cm (Unknown)

M381564 Iron Age Iranian 1.5cm (R1b-Y23838)

M348213 ScythianIA 1.5cm (Unknown)

M550685 Mezhovskaya Russia 1.5cm (Unknown)

[Cumansky]

Comparing Kit F999935 (Ust-Ishim,Siberia, 45ky) [GEDmatch Xfer] and (Enrico Thracian) [Ancestry]

Largest segment = 5.1 cM

Total Half-Match segments (HIR) = 113.3 cM (3.159 Pct)
59 shared segments found for this comparison.
429681 SNPs used for this comparison.
48.620 Pct SNPs are full identical
Comparison took 0.291 seconds.
CPU time used: 0.052 cpu seconds.

Kit F999935 (Ust-Ishim)

K13

Admix Results (sorted):

# Population Percent
1 South_Asian 30.27
2 East_Asian 14.88
3 North_Atlantic 11.3
4 Oceanian 10.97
5 Northeast_African 9.86
6 West_Med 6.45
7 Sub-Saharan 5.77
8 Red_Sea 3.9
9 Siberian 2.49
10 Amerindian 2.31
11 West_Asian 0.74
12 East_Med 0.59
13 Baltic 0.48

Single Population Sharing:

# Population (source) Distance
1 Bangladeshi 35.97
2 Aghan_Hazara 37.46
3 Uygur 38.03
4 Brahmin_UP 38.96
5 Uzbeki 39.16
6 Afghan_Tadjik 39.22
7 Hazara 39.86
8 Burusho 40.17
9 Tadjik 40.43
10 Austroasiatic_Ho 40.87
11 Kshatriya 41.08
12 Punjabi_Jat 41.19
13 Afghan_Turkmen 42.06
14 Pathan 42.24
15 Gujarati 42.33
16 Turkmen 42.78
17 Afghan_Pashtun 42.84
18 Dharkar 43.03
19 Chenchu 43.54
20 Uttar_Pradesh 43.63

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53.3% Austroasiatic_Ho + 46.7% Mozabite_Berber @ 18.95
2 53.3% Austroasiatic_Ho + 46.7% Moroccan @ 19
3 53.2% Austroasiatic_Ho + 46.8% Algerian @ 19.08
4 54.9% Austroasiatic_Ho + 45.1% Portuguese @ 19.72
5 53.9% Austroasiatic_Ho + 46.1% Tunisian @ 19.81
6 55.1% Austroasiatic_Ho + 44.9% Spanish_Extremadura @ 19.94
7 55.7% Austroasiatic_Ho + 44.3% Spanish_Castilla_Y_Leon @ 19.99
8 55.5% Austroasiatic_Ho + 44.5% Spanish_Murcia @ 20.1
9 54.8% Austroasiatic_Ho + 45.2% Spanish_Galicia @ 20.12
10 55.8% Austroasiatic_Ho + 44.2% Spanish_Andalucia @ 20.34
11 56.2% Austroasiatic_Ho + 43.8% Spanish_Castilla_La_Mancha @ 20.44
12 56.5% Austroasiatic_Ho + 43.5% Spanish_Cantabria @ 20.56
13 56% Austroasiatic_Ho + 44% Spanish_Cataluna @ 20.63
14 55% Austroasiatic_Ho + 45% North_Italian @ 20.79
15 56.2% Austroasiatic_Ho + 43.8% Spanish_Valencia @ 20.8
16 54.8% Austroasiatic_Ho + 45.2% Tuscan @ 20.93
17 57.2% Austroasiatic_Ho + 42.8% Spanish_Aragon @ 20.94
18 56% Austroasiatic_Ho + 44% French @ 20.96
19 57.5% Austroasiatic_Ho + 42.5% Southwest_French @ 21.25
20 54.4% Austroasiatic_Ho + 45.6% West_Sicilian @ 21.26

Using 2 populations approximation:
1 50% Austroasiatic_Ho +50% Mozabite_Berber @ 19.411913

Using 3 populations approximation:
1 50% Austroasiatic_Ho +25% French_Basque +25% Maasai @ 12.047978

Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++
1 Austroasiatic_Ho + Austroasiatic_Ho + French_Basque + Maasai @ 12.047978
2 Austroasiatic_Ho + Austroasiatic_Ho + Maasai + Spanish_Aragon @ 12.048869
3 Austroasiatic_Ho + Austroasiatic_Ho + Maasai + Spanish_Cantabria @ 12.154987
4 Austroasiatic_Ho + Austroasiatic_Ho + Maasai + Southwest_French @ 12.173958
5 Austroasiatic_Ho + Austroasiatic_Ho + Maasai + Spanish_Castilla_La_Mancha @ 12.280030
6 Austroasiatic_Ho + Austroasiatic_Ho + Maasai + Spanish_Cataluna @ 12.335704
7 Austroasiatic_Ho + Austroasiatic_Ho + Maasai + Spanish_Murcia @ 12.354491
8 Austroasiatic_Ho + Austroasiatic_Ho + Maasai + Spanish_Castilla_Y_Leon @ 12.369140
9 Austroasiatic_Ho + Austroasiatic_Ho + Maasai + Spanish_Andalucia @ 12.375557
10 Austroasiatic_Ho + Austroasiatic_Ho + Maasai + Spanish_Valencia @ 12.414007
11 Austroasiatic_Ho + Austroasiatic_Ho + Maasai + Portuguese @ 12.460015
12 Austroasiatic_Ho + Austroasiatic_Ho + French_Basque + Sandawe @ 12.460493
13 Austroasiatic_Ho + Austroasiatic_Ho + Maasai + Spanish_Extremadura @ 12.464233
14 Austroasiatic_Ho + Austroasiatic_Ho + Maasai + Spanish_Galicia @ 12.553159
15 Austroasiatic_Ho + Austroasiatic_Ho + French + Maasai @ 12.584286
16 Austroasiatic_Ho + Austroasiatic_Ho + Sandawe + Spanish_Aragon @ 12.604803
17 Austroasiatic_Ho + Austroasiatic_Ho + Sandawe + Spanish_Cantabria @ 12.675139
18 Austroasiatic_Ho + Austroasiatic_Ho + Sandawe + Southwest_French @ 12.680261
19 Austroasiatic_Ho + Austroasiatic_Ho + Sandawe + Spanish_Castilla_La_Mancha @ 12.802960
20 Austroasiatic_Ho + Austroasiatic_Ho + Sandawe + Spanish_Castilla_Y_Leon @ 12.884383

[Cumansky]

I post more after.

[Impaler]

F999918 Loschbour Luxembourg 4.7 cM (I-L460)

F999935 Ust-Ishim Siberia 5.5 cM (K-M526)



F999916 LBK Stuttgart Germany 4.5 cM (mtDNA T2c2)

F999933 BR2 Ludas-Varju-dolo Hungary 4.5 cM (J-M67)

F999937 NE1 Polgar-Ferenci-hat Hungary 2.9 cM (mtDNA U5b2)

F999944 RISE479 Hungary 2.9 cM (I-L1228)

F999950 RISE493 Hun Sarmatian Khakassia Russia 4.3 cM (Q-L712)

F999929 IR1 Ludas-Varju-dolo Hungary 3.7 cM (N-M231)

F999948 RISE150 Przeclawice Poland 5.4 cM (mtDNA U5a1b1)

M411713 Anatolian EF 5.5 cM (Unknown)

F999957 RISE497 Arban Russia 3.7 cM (F-P142)

M608028 RISE505 Andronovo 4.0 cM (Unknown)

F999953 RISE505 Kytmanovo Russia 4.0 cM (mtDNA U4a1b)

F999941 RISE98 Sweden 4.8 cM (R-M405)

M472767 Srubnaya 5.4 cM (Unknown)

XG8392897 Lorga de Dine Portugal 4.0 cM (mtDNA U8a)

F999958 RISE495 Arban Russia 3.4 cM (R-F3105)

F999943 RISE174 Sweden 4.2 cM (mtDNA W1)

M936428 Anatolian EF 7.8 cM (Unknown)

M754279 Anatolian EF 4.7 cM (Unknown)

HR8370864 Sima del Angel Lucena Spain 3.5 cM (mtDNA H3)

F999919 Clovis-Anzick-1 Montana USA 3.4 cM (Q-Z780)

F999967 RISE511 Bateni Russia 6.7 cM (mtDNA J2a2a)

M340653 Ancient Armenia 4.2 cM (Unknown)

M381564 Iron Age Iranian 3.5 cM (R1b-Y23838)

M348213 ScythianIA 4.7 cM (Unknown)

M550685 Mezhovskaya Russia 3.2 cM (Unknown)

[Impaler]

Did you let SNP's and cM by default?

[Adamm]

How can you find your ancient match?

[Cumansky]

Did you let SNP's and cM by default?

Minimum segment 1.0

[Cumansky]

How can you find your ancient match?

I found many here:

https://anthrogenica.com/showthread.php?8672-List-of-ancient-samples-on-GEDmatch&p=567676&viewfull=1#post567676

Then run one-to-one using GEDmatch, adjust minimum segment to 1.0

[Cumansky]

F999918 Loschbour Luxembourg 4.7 cM (I-L460)

F999935 Ust-Ishim Siberia 5.5 cM (K-M526)



F999916 LBK Stuttgart Germany 4.5 cM (mtDNA T2c2)

F999933 BR2 Ludas-Varju-dolo Hungary 4.5 cM (J-M67)

F999937 NE1 Polgar-Ferenci-hat Hungary 2.9 cM (mtDNA U5b2)

F999944 RISE479 Hungary 2.9 cM (I-L1228)

F999950 RISE493 Hun Sarmatian Khakassia Russia 4.3 cM (Q-L712)

F999929 IR1 Ludas-Varju-dolo Hungary 3.7 cM (N-M231)

F999948 RISE150 Przeclawice Poland 5.4 cM (mtDNA U5a1b1)

M411713 Anatolian EF 5.5 cM (Unknown)

F999957 RISE497 Arban Russia 3.7 cM (F-P142)

M608028 RISE505 Andronovo 4.0 cM (Unknown)

F999953 RISE505 Kytmanovo Russia 4.0 cM (mtDNA U4a1b)

F999941 RISE98 Sweden 4.8 cM (R-M405)

M472767 Srubnaya 5.4 cM (Unknown)

XG8392897 Lorga de Dine Portugal 4.0 cM (mtDNA U8a)

F999958 RISE495 Arban Russia 3.4 cM (R-F3105)

F999943 RISE174 Sweden 4.2 cM (mtDNA W1)

M936428 Anatolian EF 7.8 cM (Unknown)

M754279 Anatolian EF 4.7 cM (Unknown)

HR8370864 Sima del Angel Lucena Spain 3.5 cM (mtDNA H3)

F999919 Clovis-Anzick-1 Montana USA 3.4 cM (Q-Z780)

F999967 RISE511 Bateni Russia 6.7 cM (mtDNA J2a2a)

M340653 Ancient Armenia 4.2 cM (Unknown)

M381564 Iron Age Iranian 3.5 cM (R1b-Y23838)

M348213 ScythianIA 4.7 cM (Unknown)

M550685 Mezhovskaya Russia 3.2 cM (Unknown)

Do you match most or you match all?

This the only ancient kit I match, the other kit people are running in different thread I don't match with those.

[oszkar07]

Default Post your Ancient Match + GEDmatch Reuslts
Done with 1cm as minimum segment.
Oszkar

F999918 Loschbour Luxembourg = Largest segment = 5.7 cM

F999935 Ust-Ishim Siberia = = 5.5 cM

F999916 LBK Stuttgart Germany = = 5.7 cM

F999933 BR2 Ludas-Varju-dolo Hungary = 4.6 cM

F999937 NE1 Polgar-Ferenci-hat Hungary = 4.5 cM

F999944 RISE479 Hungary = 2.3 cM

F999950 RISE493 Hun Sarmatian Khakassia Russia = 3.2 cM

F999929 IR1 Ludas-Varju-dolo Hungary = 1.3 cM


F999948 RISE150 Przeclawice Poland = 2.2 cM





M411713 Anatolian EF 3.4cm (Unknown) = 1.6 cM

F999957 RISE497 Arban Russia = 2.9 cM

M608028 RISE505 Andronovo = 4.4 cM

F999953 RISE505 Kytmanovo Russia = 4.4 cM


F999941 RISE98 Sweden = 4.2 cM


M472767 Srubnaya = 3.0 cM

XG8392897 Lorga de Dine Portugal = 3.5 cM


F999967 RISE511 Bateni Russia = 2.8 cM


M340653 Ancient Armenia = 1.0 cM

M381564 Iron Age Iranian = 1.4 cM

M348213 ScythianIA = 2.7 cM


M550685 Mezhovskaya Russia = 2.5 cM



F999950 RISE493 Hun Sarmatian Khakassia Russia = 3.2 c

Very Interesting Oracles for the above Hun Sarmatian ...

K13

Admix Results (sorted):

# Population Percent
1 Siberian 28.92
2 Baltic 28.25
3 North_Atlantic 18.11
4 West_Asian 9.28
5 Amerindian 7.47
6 South_Asian 6.73
7 East_Asian 1.24

Single Population Sharing:

# Population (source) Distance
1 Mari 14.66
2 Chuvash 17.77
3 Tatar 17.92
4 Shors 23.62
5 Afghan_Turkmen 24.94
6 Uzbeki 28.29
7 Hakas 28.64
8 Kazakh 29.6
9 Kargopol_Russian 31.49
10 Erzya 31.7
11 Aghan_Hazara 32.11
12 Nogay 32.19
13 East_Finnish 32.48
14 Hazara 33.1
15 Uygur 33.47
16 Ket 33.61
17 Kirgiz 33.63
18 Finnish 34.12
19 Moldavian 34.74
20 Selkup 34.95

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 74.9% Tatar + 25.1% Chukchi @ 8.2
2 75.7% Tatar + 24.3% Koryak @ 8.4
3 67.3% Tatar + 32.7% Ket @ 8.42
4 68.6% Tatar + 31.4% Selkup @ 9.05
5 62% Kargopol_Russian + 38% Koryak @ 9.21
6 58.4% Ukrainian_Belgorod + 41.6% Koryak @ 9.24
7 53.2% Ket + 46.8% North_Swedish @ 9.37
8 52.1% Ket + 47.9% South_Polish @ 9.51
9 57.6% Russian_Smolensk + 42.4% Koryak @ 9.56
10 61.3% Shors + 38.7% Southwest_Finnish @ 9.57
11 55.5% Ket + 44.5% North_German @ 9.61
12 62.5% Shors + 37.5% Estonian @ 9.61
13 60.3% Shors + 39.7% Finnish @ 9.62
14 55.5% Ket + 44.5% Swedish @ 9.63
15 53.5% Ket + 46.5% East_German @ 9.64
16 76% Chuvash + 24% Chukchi @ 9.67
17 59% Shors + 41% East_Finnish @ 9.68
18 61.2% Kargopol_Russian + 38.8% Chukchi @ 9.7
19 51.7% Ket + 48.3% Hungarian @ 9.72
20 59% Southwest_Russian + 41% Koryak @ 9.73