GEDMatch HarappaWorld Gedmatch, post and compare your admixtures to ancient and contemporary.

LeBrok said:
Here are the other European Farmers to compare:
ENENMNLNLN
StuttgartNE1 HungaryNE7 HungaryCO1 HungaryCA Iberia, ATP2, M849224
PopulationPopulationPopulationPopulationPopulation
S-Indian-S-Indian-S-Indian-S-Indian-S-Indian-
Baloch-Baloch-Baloch-Baloch-Baloch-
Caucasian30.6Caucasian28.27Caucasian19.04Caucasian19.26Caucasian4.19
NE-Euro7.82NE-Euro12.13NE-Euro16.69NE-Euro16.74NE-Euro24.19
SE-Asian-SE-Asian-SE-Asian-SE-Asian-SE-Asian0.23
Siberian-Siberian-Siberian-Siberian-Siberian-
NE-Asian-NE-Asian-NE-Asian-NE-Asian-NE-Asian-
Papuan-Papuan-Papuan-Papuan-Papuan0.23
American-American-American-American-American-
Beringian-Beringian-Beringian-Beringian-Beringian-
Mediterranean49.46Mediterranean45.75Mediterranean56.18Mediterranean55.37Mediterranean63.33
SW-Asian12.01SW-Asian13.45SW-Asian7.96SW-Asian8.52SW-Asian5.14
San0.11San-San-San-San-
E-African-E-African-E-African-E-African-E-African-
Pygmy-Pygmy0.05Pygmy-Pygmy-Pygmy-
W-African-W-African0.35W-African0.11W-African0.1W-African2.69


Things to notice:

- Mediterranean admixture increases during Neolithic to 55% in Central Europe to 60% in Italy and Spain. The highest level ever.

- Caucasian admixture is constantly falling during Neolithic to 20% in Central Europe and as little as 5% in Spain and 10% in Italy.

- All NE- Euro in Neolithic samples come from WHG. It steadily increases during Neolithic to 16% in Central Europe and max 24% in Spain. Higher in South than in Center of Europe is surprising and reversed should be expected. I'm looking for an explanation.

- SW Admixture is also dropping during Neolithic and more in south than in Europe center.



Remedello samples look like typical Mid/Late Neolithic EEF, with a bit of Southern flavour of lower Caucasian admixture and higher Med and NE Euro. The youngest Remedello doesn't show slightest signs of Steppe invasion yet.


Edit: I think the gross of changes happen from Early Neolithic to Mid Neolithic and stabilise till invasions of Bronze Age. And changes look like mixing in more WHG genome into farmers. Perhaps it took from Early to Mid Neolithic to "vacuum" all of the free living WHG of South and Central Europe. By Mid Neolithic WHG where all gone and changes in Farmer's genome stopped. I think some of the changes could have been from WHG's alleles of better fitness taking hold in farmers, who needed to adapt to European environment.
Click to expand...

I posted almost the same thing on the problematic samples spin off thread :)

CO1 above is Baden. So, another such case. Gimbutas said it was a steppe culture. It may have a "steppe like" culture, like Remedello, but neither had "steppe ancestry".

The entrance of actual "steppe genes" was patchy in certain areas. I would guess it took a long time for things to become more homogenized.
 
Pax Augusta said:
SW-Asian most likely arrived from North, Central-East Europe. The other Remedellos samples have much less SW Asian than the one you've posted, around 5-6%, with one of the Remedello sample with 0% of SW Asian.
Click to expand...
As I mentioned in post 259, missing SW Asian in one of Remedello is most likely due to missing parts of DNA in this sample. All of the other Neolithic farmers contain substantial SW, and it came with Anatolian farmer.
M8970779.65ENEN
Anatolian EFBarcinStuttgartNE1 Hungary
PopulationPopulationPopulation
S-Indian- S-Indian- S-Indian-
Baloch- Baloch- Baloch-
Caucasian37.64Caucasian30.6Caucasian28.27
NE-Euro0.86NE-Euro7.82NE-Euro12.13
SE-Asian- SE-Asian- SE-Asian-
Siberian- Siberian- Siberian-
NE-Asian- NE-Asian- NE-Asian-
Papuan- Papuan- Papuan-
American- American- American-
Beringian- Beringian- Beringian-
Mediterranean47.24Mediterranean49.46Mediterranean45.75
SW-Asian14SW-Asian12.01SW-Asian13.45
San- San0.11San-
E-African- E-African- E-African-
Pygmy- Pygmy- Pygmy0.05
W-African0.27W-African- W-African0.35

By mid Neolithic Caucasian and SW-Asian dropped by about half. NE-Euro got to 20% due to mixing with WHG.

LoschbourK01, hungary, hunter gatherer
Population Population
S-Indian - S-Indian-
Baloch - Baloch-
Caucasian - Caucasian-
NE-Euro 77.83NE-Euro82.06
SE-Asian 0.44SE-Asian-
Siberian - Siberian-
NE-Asian - NE-Asian-
Papuan 0.84Papuan0.2
American - American-
Beringian - Beringian-
Mediterranean 20.66Mediterranean17.44
SW-Asian - SW-Asian-
San - San-
E-African - E-African-
Pygmy - Pygmy-
W-African 0.17W-African0.26

The only question mark is why Med admixture rose to 60% even though it should drop due to lower Med in WHG? Perhaps Med is an admixture which has been developing in Europe during Neolithic? Is based on European genetic drift in Neolithic.
 
Is there hunter-gatherer from Karelia on GedMatch?
 
Pax Augusta said:
SW-Asian most likely arrived from North, Central-East Europe. The other Remedellos samples have much less SW Asian than the one you've posted, around 5-6%, with one of the Remedello sample with 0% of SW Asian.


- Apc-Berekalja I., Hungary NE6

Admix Results (sorted):

# Population Percent
1 Mediterranean 56.96
2 Caucasian 25.18
3 SW-Asian 12.29
4 NE-Euro 5.52
5 W-African 0.06

Single Population Sharing:

# Population (source) Distance
1 sardinian (hgdp) 9.59
2 tuscan (hapmap) 29.04


- Polgár-Ferenci-hát, Hungary NE1

Admix Results (sorted):

# Population Percent
1 Mediterranean 45.75
2 Caucasian 28.27
3 SW-Asian 13.45
4 NE-Euro 12.13
5 W-African 0.35
6 Pygmy 0.05

Single Population Sharing:

# Population (source) Distance
1 sardinian (hgdp) 16.71
2 tuscan (hapmap) 17.93
3 tuscan (hgdp) 18.19


- Apc-Berekalja I., Hungary NE7

Admix Results (sorted):

# Population Percent
1 Mediterranean 56.18
2 Caucasian 19.04
3 NE-Euro 16.69
4 SW-Asian 7.96
5 W-African 0.11
6 San 0.02

Single Population Sharing:

# Population (source) Distance
1 sardinian (hgdp) 5.97
2 spaniard (1000genomes) 19.63
3 spaniard (behar) 20.33
4 italian (hgdp) 21.86

- Stuttgart, Germany

Admix Results (sorted):

# Population Percent
1 Mediterranean 49.46
2 Caucasian 30.6
3 SW-Asian 12.01
4 NE-Euro 7.82
5 San 0.11

Single Population Sharing:

# Population (source) Distance
1 sardinian (hgdp) 15.17
2 tuscan (hapmap) 22.5
3 tuscan (hgdp) 22.77


- Kompolt - Kigyósér, Hungary NE5

Admix Results (sorted):

# Population Percent
1 Mediterranean 56.74
2 Caucasian 23.8
3 SW-Asian 9.92
4 NE-Euro 9.55

Single Population Sharing:

# Population (source) Distance
1 sardinian (hgdp) 6.01
2 italian (hgdp) 26.27
3 spaniard (1000genomes) 26.58
4 tuscan (hapmap) 26.74
5 spaniard (behar) 27.17
6 tuscan (hgdp) 27.23
Click to expand...

what modern areas does SW-Asian represent in genetics?

I was told - all nations in Arabian peninsula plus jordan ...................does not include syria, iraq or kuwait
 
Sile said:
what modern areas does SW-Asian represent in genetics?

I was told - all nations in Arabian peninsula plus jordan ...................does not include syria, iraq or kuwait
Click to expand...

The correct question should be: where does SW-Asian component peak among modern populations? Sw-Asian is a just name given by the calculator's creator.

SW-Asian is mostly Natufian/Basal Eurasian component. Likely Natufians were a bit assimilated by the northern Anatolian populations who settled Europe, later known as EEF.

https://en.wikipedia.org/wiki/Natufian_culture

I don't know which is the source, but in many forums it's accredited as the sample of an epipaleolithic Natufian hunter-gatherer from Raqefet Cave in the Levant (12,000-9,800 BCE)


HarappaWorld Oracle results:

23 April 2013 - Oracle reference population percentages revised.

Kit M041601

Admix Results (sorted):

# Population Percent
1 SW-Asian 53.62
2 Mediterranean 27.39
3 Caucasian 13.98
4 E-African 4.33
5 Papuan 0.68

Single Population Sharing:

# Population (source) Distance
1 libya (henn2012) 17.73
2 bedouin (hgdp) 21.01
3 saudi (behar) 25.75
4 qatari (henn2012) 26.13
5 egypt (henn2012) 26.78
6 saharawi (henn2012) 28
7 yemen-jew (behar) 28.18
8 moroccan (behar) 28.74
9 mozabite (hgdp) 28.96
10 egyptian (behar) 29.44
11 algeria (henn2012) 29.51
12 yemenese (behar) 31.45
13 morocco-n (henn2012) 33.04
14 palestinian (hgdp) 34.82
15 jordanian (behar) 36.52
16 morocco-jew (behar) 36.72
17 tunisia (henn2012) 37.44
18 samaritian (behar) 39.09
19 sephardic-jew (behar) 39.77
20 lebanese (behar) 40.8
 
From other types of analyses, Mentese seems to be the best fit for the farmers who went to Europe, although all the early Anatolian farmers were pretty similar.

Maybe that would be a good sample to run.(south/central Anatolia)

From other analysis I've seen they all have a good chunk of Natufian (as Natufian has some "Anatolia Neolithic"), and that makes sense as the earliest evidence of farming is from approximately the border area between Anatolia and northern Syria, and the coastal area near there is also the beginning of the migration route.

We've known for a long time that the Bedouin were a reasonable proxy, although the fit numbers are by no means good.

Even the Bedouin have absorbed some Iran Neolithic etc., as well as SSA.
 
Sile said:
Give these Northern-Italians a try

Remedello RISE487 (3483-3107 BC) - Y-DNA I2a1a1 - GEDmatch kit T699825
Remedello RISE489 (2908-2578 BC) - Y-DNA I2a1a1a - GEDmatch kit T135721
Remedello RISE486 (2134-1773 BC) - Y-DNA I2a1a1a - GEDmatch kit T319214
Click to expand...


More ancient samples in Gedmatch all from Ydna T1

I0795 KAR6 7076 ± 90 years old ..........central Germany ....Gedmatch= M671535

I0797 KAR16a 7087 ± 725 years old..........central Germany ...Gedmatch = M789703

I1707 AG83 9573 ± 39 years old ............Ain Ghazal Jordan....Gedmatch = M632231
 
Is there Otzi GEDmatch id available?
 
For comparison purposes here is a qdAdm analysis done by Eurogenes of modern Europeans plus some ancient samples like German Bell Beaker, Corded Ware, Unetice etc. It's divided into Barcin Neolithic, Caucasus HG, (which together total a sort of "Near Eastern" component), plus EHG, WHG, and Onge/Nganasan/SSA. I haven't gone back to find it in those huge papers, but this reminds me of the analysis that was done in the Lazaridis and Haak papers.

See:
https://docs.google.com/spreadsheet...0qj1f2qszxiJbactk89DOd0TlHg/edit#gid=89445169
 
Angela said:
From other types of analyses, Mentese seems to be the best fit for the farmers who went to Europe, although all the early Anatolian farmers were pretty similar.

Maybe that would be a good sample to run.(south/central Anatolia)

From other analysis I've seen they all have a good chunk of Natufian (as Natufian has some "Anatolia Neolithic"), and that makes sense as the earliest evidence of farming is from approximately the border area between Anatolia and northern Syria, and the coastal area near there is also the beginning of the migration route.

We've known for a long time that the Bedouin were a reasonable proxy, although the fit numbers are by no means good.

Even the Bedouin have absorbed some Iran Neolithic etc., as well as SSA.
Click to expand...
I have one more Anatolian Farmer from Tepecik in South Turkey, North West fringe of Fertile Crescent. It is more Caucasian and less Med. Same people with local variations. Barcin seems to be a better quality sample.

M897077 9.65M830273 Tep0035.17
Anatolian EFBarcinAnatolia Early Neolithic [7174 BC]
PopulationPopulation
S-Indian-S-Indian-
Baloch-Baloch-
Caucasian37.64Caucasian48.07
NE-Euro0.86NE-Euro3.95
SE-Asian-SE-Asian-
Siberian-Siberian-
NE-Asian-NE-Asian-
Papuan-Papuan-
American-American-
Beringian-Beringian-
Mediterranean47.24Mediterranean34.67
SW-Asian 14.00SW-Asian13.19
San-San-
E-African-E-African-
Pygmy-Pygmy-
W-African0.270.13
 
Sile said:
More ancient samples in Gedmatch all from Ydna T1

I0795 KAR6 7076 ± 90 years old ..........central Germany ....Gedmatch= M671535

I0797 KAR16a 7087 ± 725 years old..........central Germany ...Gedmatch = M789703

I1707 AG83 9573 ± 39 years old ............Ain Ghazal Jordan....Gedmatch = M632231
Click to expand...

Here they are. Not very good quality samples but they fit in ballpark.

EN Germany5k BCEN Germany, Karsdorf5k BCEN Jordan, .Ain Ghazal7.5k BC
M671535I0795 KAR6 M789703I0797 KAR16a M632231I1707
Run time2.88Run time3.22Run time3.31
S-Indian- S-Indian- S-Indian-
Baloch- Baloch- Baloch-
Caucasian26.38Caucasian22.84Caucasian27.79
NE-Euro8.49NE-Euro16.09NE-Euro2.52
SE-Asian- SE-Asian- SE-Asian-
Siberian- Siberian- Siberian-
NE-Asian- NE-Asian- NE-Asian-
Papuan- Papuan- Papuan-
American- American- American-
Beringian- Beringian- Beringian-
Mediterranean56.16Mediterranean48.88Mediterranean34.48
SW-Asian8.97SW-Asian11.79SW-Asian34.6
San- San- San0.51
E-African- E-African- E-African-
Pygmy- Pygmy- Pygmy-
W-African- W-African0.41W-African0.1
 
LeBrok said:
Here they are. Not very good quality samples but they fit in ballpark.

EN Germany5k BCEN Germany, Karsdorf5k BCEN Jordan, .Ain Ghazal7.5k BC
M671535I0795 KAR6M789703I0797 KAR16a M632231I1707
Run time2.88Run time3.22Run time3.31
S-Indian-S-Indian-S-Indian-
Baloch-Baloch-Baloch-
Caucasian26.38Caucasian22.84Caucasian27.79
NE-Euro8.49NE-Euro16.09NE-Euro2.52
SE-Asian-SE-Asian-SE-Asian-
Siberian-Siberian-Siberian-
NE-Asian-NE-Asian-NE-Asian-
Papuan-Papuan-Papuan-
American-American-American-
Beringian-Beringian-Beringian-
Mediterranean56.16Mediterranean48.88Mediterranean34.48
SW-Asian8.97SW-Asian11.79SW-Asian34.6
San-San-San0.51
E-African-E-African-E-African-
Pygmy-Pygmy-Pygmy-
W-African-W-African0.41W-African0.1
Click to expand...


All are different ..........even the 2 Germans have different "migrational " routes...one more Med other more steppe
 
Heres mine... I'm surprised at how much NE Euro there is..
Admix Results (sorted):

#PopulationPercent
1NE-Euro34.86
2Caucasian25.19
3Mediterranean24.76
4SW-Asian6.82
5Baloch6.22
6Siberian1.17
7Beringian0.51
8SE-Asian0.46

Single Population Sharing:

#Population (source)Distance
1romanian-a (behar)2.66
2bulgarian (yunusbayev)3.83
3tuscan (1000genomes)12.65
4tuscan (hgdp)12.65
5tuscan (hapmap)12.83
6italian (hgdp)13.2
7hungarian (behar)16.35
8ashkenazi (harappa)17.32
9slovenian (xing)17.77
10french (hgdp)19.57
11ashkenazy-jew (behar)20.74
12spaniard (behar)22.43
13spaniard (1000genomes)23.58
14n-european (xing)24.43
15utahn-white (1000genomes)24.92
16turk-aydin (hodoglugil)25.56
17ukranian (yunusbayev)25.62
18utahn-white (hapmap)25.68
19british (1000genomes)26.71
20sephardic-jew (behar)27.54
 
Sile said:
All are different ..........even the 2 Germans have different "migrational " routes...one more Med other more steppe
Click to expand...
Keep in mind that these are very low quality samples, therefore the numbers are off. Stuttgart from post 262 is very good quality and points to true admixtures for Neolithic Germany, and it is even closer to Neolithic Hungary, than these to low quality samples to each other.
 
selectivememri said:
Heres mine... I'm surprised at how much NE Euro there is..
Admix Results (sorted):

#PopulationPercent
1NE-Euro34.86
2Caucasian25.19
3Mediterranean24.76
4SW-Asian6.82
5Baloch6.22
6Siberian1.17
7Beringian0.51
8SE-Asian0.46

Single Population Sharing:
Click to expand...
Go to post #1 for explanation of these admixtures. Below is table of some Europeans. I've put you in.

Europeans# of samplesS-IndianBalochCaucasianNE-EuroSE-AsianSiberianNE-AsianPapuanAmericanBeringianMediterraneanSW-AsianSanE-AfricanPygmyW-African
PolandLeBrok1710571100002210000
NetherlandsNortherner096550001002900000
Italy, NE70720340000003160000
Italy, NW50620330000003460000
Italy, Tuscany40725280000003280000
Italy, South508321700000027130100
Sicily509321800000027120100
Sardinia200231700000048110000
Macedoniaselectivememri0625350100012570000
AlbaniaDibran0530270000003080000
Greek, mainland306322500000026110000
Greek, Islands, East509381400100023140000
Cyprus411044610000020170000
Ashkenazy?15341900100024140100
turk-istanbul?11645111330011190000
 
Few more europeans:
EthnicityDatasetNC1C2C3C4C5C6C7C8C9C10C11C12C13C14C15C16
S IndianBalochCaucasianNE EuroSE AsianSiberianNE AsianPapuanAmericanBeringianMediterraneanSW AsianSanE AfricanPygmyW African
basquehgdp240%8%1%33%0%0%0%0%0%0%58%0%0%0%0%0%
belorussianbehar91%5%10%64%1%1%0%0%0%0%16%1%0%0%0%0%
bulgarianyunusbayev130%5%28%36%0%1%0%0%0%1%23%5%0%0%0%0%
cypriotbehar120%7%49%6%0%0%0%0%0%0%19%17%0%0%0%0%
finnish1000genomes1001%1%2%80%0%6%0%0%0%1%5%5%0%0%0%0%
frenchhgdp280%9%10%42%0%0%0%0%0%0%36%2%0%0%0%0%
hungarianbehar190%7%15%49%0%1%0%0%0%0%24%3%0%0%0%0%
italianhgdp130%5%22%29%0%0%0%0%0%0%37%6%0%0%0%0%
lithuanianbehar100%7%5%72%0%0%0%0%0%0%15%0%0%0%0%0%
romanian-abehar141%6%26%36%0%1%0%0%0%0%23%5%0%0%0%0%
russianbehar21%4%13%64%1%3%0%1%1%1%13%0%0%0%0%0%
sardinianhgdp280%0%20%12%0%0%0%0%0%0%60%7%0%0%0%0%
serbianharappa10%8%23%42%1%0%0%0%0%0%22%3%0%0%0%0%
slovenianxing251%6%15%51%0%0%0%0%0%0%23%3%0%0%0%0%
spaniardbehar120%7%11%32%0%0%0%0%0%0%44%5%0%0%0%0%
turk-istanbulhodoglugil201%16%45%11%1%3%3%0%0%1%11%9%0%0%0%0%
tuscan1000genomes110%6%29%24%0%0%0%0%0%0%32%8%0%0%0%0%
ukranianyunusbayev201%6%12%58%0%1%0%0%0%0%17%2%0%0%0%0%
 
cool, that is very helpful seeing the side by side comparisons! thanks for taking the time! :)
 
LeBrok said:
Keep in mind that these are very low quality samples, therefore the numbers are off. Stuttgart from post 262 is very good quality and points to true admixtures for Neolithic Germany, and it is even closer to Neolithic Hungary, than these to low quality samples to each other.
Click to expand...

IMO, Harappa is too weird for ancient samples.......better is too keep ancient samples with ancient programs . like this below

Kit Num: M632231
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com

puntDNAL K12 Ancient 4-Ancestors Oracle

This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: [email protected]
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

puntDNAL K12 Ancient Oracle

Admix Results (sorted):

#PopulationPercent
1Anatolian_NF54.49
2Near_East27.18
3Caucasus_HG15.94
4European_HG2.38


Finished reading population data. 55 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Starcevo_MN_I0174 @ 15.719886
2 LBK_EN_I0054 @ 19.231976
3 Stuttgart_SG @ 21.498976
4 Hungary_EN_I0495 @ 23.618074
5 Iceman_MN_SG @ 25.145157
6 Iberia_EN_I0412 @ 25.165730
7 Hungary_CA_I1497 @ 26.337315
8 Remedello_BA_SG_RISE489 @ 32.972553
9 Epserstedt_MN_I0172 @ 33.302784
10 Baalberge_MN_I0560 @ 34.398289
11 Iberia_M_ I0406 @ 36.878693
12 Iberia_Chalcolithic_I0300 @ 36.995884
13 Armenian_MBA @ 49.138161
14 Armenian_MBA @ 49.138161
15 Alberstedt_LN_I0118 @ 49.909016
16 Nordic_LN_SG_RISE97 @ 51.175419
17 Vatya_SG_RISE479 @ 51.291199
18 Hungary_BA_I1502 @ 51.633827
19 Bell_Beaker_Czech_RISE569 @ 52.314507
20 Halberstadt_LBA_I0099 @ 52.927113

Using 2 populations approximation:
1 50% Starcevo_MN_I0174 +50% Starcevo_MN_I0174 @ 15.719886


Using 3 populations approximation:
1 50% Starcevo_MN_I0174 +25% Starcevo_MN_I0174 +25% Armenian_MBA @ 14.740172



or


Kit Num: M789703
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
[h=2]Gedmatch.Com[/h] [h=2]puntDNAL K12 Ancient 4-Ancestors Oracle[/h] This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: [email protected]
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.

puntDNAL K12 Ancient Oracle

Admix Results (sorted):

#PopulationPercent
1Anatolian_NF60.35
2European_HG26.49
3Near_East8.90
4Sub-Saharan2.20
5Caucasus_HG2.06


Finished reading population data. 55 populations found.
12 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Epserstedt_MN_I0172 @ 3.873823
2 Iberia_M_ I0406 @ 4.704161
3 Iberia_Chalcolithic_I0300 @ 5.045290
4 Baalberge_MN_I0560 @ 5.161288
5 Remedello_BA_SG_RISE489 @ 7.016410
6 Hungary_CA_I1497 @ 7.940047
7 Iceman_MN_SG @ 10.812458
8 Hungary_EN_I0495 @ 10.886922
9 Iberia_EN_I0412 @ 12.627630
10 Stuttgart_SG @ 15.341813
11 LBK_EN_I0054 @ 16.395153
12 Starcevo_MN_I0174 @ 19.567595
13 Hungary_BA_I1502 @ 28.603504
14 Vatya_SG_RISE479 @ 29.307850
15 Alberstedt_LN_I0118 @ 36.559303
16 Nordic_LN_SG_RISE97 @ 38.185360
17 Halberstadt_LBA_I0099 @ 38.409035
18 Unetice_EBA_I0117 @ 38.591011
19 BenzigerodeHeimburg_LN_I0059 @ 40.806362
20 Bell_Beaker_Germany_I1549 @ 40.817520

Using 2 populations approximation:
1 50% Baalberge_MN_I0560 +50% Epserstedt_MN_I0172 @ 2.534427


Using 3 populations approximation:
1 50% Iberia_M_ I0406 +25% Iberia_Chalcolithic_I0300 +25% Iceman_MN_SG @ 2.312664



At least we tie ancients with other ancients and leave the modern with modern tests
 
Unfortunately, no matter what calculator is used, a poor quality, low coverage sample is not going to give reliable results.
 
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