Share Your IllustrativeDNA results Ancient and Modern

qh777

qh777

Regular Member
Messages
603
Reaction score
292
Points
63
Ethnic group
English, Scottish, Irish, French, German, Belgian
Y-DNA haplogroup
J2/J-M67/ J2a1b
mtDNA haplogroup
H/ H1/H1ao
Has anyone tried it? Another forum user mentioned it as a source for g25 coordinates. I got mine from there. I'll share my ancient and modern results. If anyone has also done it, please share yours!

Sharing results from my raw data from MyHeritage.

Top 30 genetically closest modern populations:

1Breton1.941
2Welsh2.213
3Cornish2.242
4English2.273
5Scottish2.394
6Belgian2.454
7Irish2.518
8Dutch2.528
9Orcadian2.533
10French Oïl (Ile-de-France)2.755
11French Oïl (Hauts-de-France)2.821
12French Oïl (Pays de la Loire)2.901
13Shetlander2.916
14Alsatian (Alsace)3.250
15German3.294
16Danish3.297
17Swiss (German)3.351
18French Oïl (Normandy)3.384
19Norwegian3.406
20Icelander3.472
21Norwegian (Bergen)3.488
22French Oïl (Bourgogne-Franche-Comte)3.523
23French Oïl (Grand Est)3.596
24German (Bavaria)3.608
25French Occitan (Occitanie)3.870
26German (Hamburg)3.923
27French Occitan (Auvergne)4.208
28Austrian4.276
29Swiss (French)4.368
30Swedish4.523

Top 30 genetically closest ancient populations:

​

Genetic Distance
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Insular Celt (Parisi)​

400 BC– AD 120
2.192
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Insular Celt (Roman Period)​

AD 100–400
2.308
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Insular Celt (Dobunni)​

400–1 BC
2.333
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Insular Celt (Cantiaci)​

400–1 BC
2.375
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Insular Celt (Durotriges)​

550 BC– AD 60
2.431
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Insular Celt (Catuvellauni)​

400 BC–AD 120
2.453
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Insular Celt (Dumnonii)​

400 BC– AD 40
2.607
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Insular Celt (Brigantes)​

370–50 BC
2.672
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Insular Celt (Corieltauvi)​

510–50 BC
2.797
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Insular Celt (Pict)​

AD 100–1000
2.927
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Insular Celt (Votadini)​

400 BC– AD 120
3.117
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Continental Celt (Hallstatt Culture)​

800–550 BC
3.179
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Breton (Duchy of Brittany)​

AD 1230–1290
3.189
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Gallo-Roman​

AD 130–550
3.328
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West European Crusader (Sidon)​

AD 1190–1280
3.377
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Continental Celt (Cotini)​

190–1 BC
3.537
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Continental Celt (Boii)​

400–200 BC
3.547
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Continental Celt (Belgae)​

300–200 BC
3.853
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Longobard (Pannonia)​

AD 410–600
4.110
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Continental Celt (Cisalpine Gaul)​

770–200 BC
4.321

Scandinavian Viking (Sealand)​

AD 800–1000
4.414

Frisii​

170–1 BC
4.419

Alemanni​

AD 580–630
4.423

Goth (Gothiscandza)​

AD 40–210
4.428

Scandinavian Viking (Telemark)​

AD 700–1000
4.431

Scandinavian Viking (Funen)​

AD 800–1000
4.435

Baiuvari​

AD 450–520
4.510

Scandinavian Viking (Oxford)​

AD 880–1000
4.539

Scandinavian Viking (Saaremaa)​

AD 700–800
4.911

Scandinavian (Iron Age)​

AD 100–600
4.939
 
Some 2way ancient combinations That I think are very interesting:

Fit: 1.814​

1. 92.2% + 7.8%​

Insular Celt (Parisi) Archaic Greek​


Fit: 1.863​

6. 94.2%+5.8%​

Insular Celt (Parisi) Minoan​


Fit: 1.933​

29. 89.9%+10.1%​

Insular Celt (Parisi) Etruscan (Villanovan Culture)​


Fit: 1.952​

48. 95.1%+4.9%​

Insular Celt (Parisi) Phoenician (Achaemenid Period)

Fit: 1.954​

49. 95.5%+4.5%​

Insular Celt (Parisi) Canaanite (Megiddo)
 

Top 5 Three Way Modern combinations (MyHeritage Raw Data):​

Fit: 1.632​

1.​

Irish68.5%

Italian (Aosta Valley)30.7%

Quechua (Peru)0.8%

Fit: 1.633​

2.​

Irish68.4%

Italian (Aosta Valley)30.8%

Karitiana (Brazil)0.8%

Fit: 1.634​

3.​

Irish68.4%

Italian (Aosta Valley)30.8%

Wichi0.8%

Fit: 1.634​

4.​

Irish68.5%

Italian (Aosta Valley)30.7%

Maya (Tzotzil)0.8%

Fit: 1.636​

5.​

Irish68.5%

Italian (Aosta Valley)30.7%

Mixe (Mexico)0.8%









 
Top 10 2-way combinations with my Ancestrydna raw data:

Fit: 1.747​

1.​

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89.2%10.8%


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Insular Celt (Brigantes)​

Archaic Greek​

Fit: 1.813​

2.​

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92.4%7.6%


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Insular Celt (Parisi)​

Archaic Greek​

Fit: 1.834​

3.​

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95.6%4.4%


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Insular Celt (Parisi)​

Arab (Umayyad Period)​

Fit: 1.836​

4.​

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94.7%5.3%


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Insular Celt (Parisi)​

Canaanite (Baqah)​

Fit: 1.840​

5.​

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83.7%16.3%


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Insular Celt (Brigantes)​

Daunian (Messapic)​

Fit: 1.840​

6.​

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95.1%4.9%


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Insular Celt (Parisi)​

Egyptian (Late Period)​

Fit: 1.856​

7.​

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94.8%5.2%


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Insular Celt (Parisi)​

Phoenician (Assyrian Period)​

Fit: 1.856​

8.​

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92.6%7.4%


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Insular Celt (Parisi)​

Classical Greek (Himera)​

Fit: 1.859​

9.​

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94.7%5.3%


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Insular Celt (Parisi)​

Levantine (Early Roman Period)​

Fit: 1.859​

10.​

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95% 5%
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Insular Celt (Parisi)​

Canaanite (Hazor)​

 
Thanks for sharing Duarte! What’s your 2 way ancient and modern look like? And closest ancient and modern? I’ll share my periodic results later when I can get back on my desktop pc.
 
Two Way Ancient

Fit: 2.756
1. 94.4% Medieval Iberian (Girona)
5.6% Bantu (East Africa)

Fit: 2.762
2. 94.4% Medieval Iberian (Girona)
5.6% Bantu (South Africa)

Fit: 2.767
3. 94.4% Medieval Iberian (Girona)
5.6% Bantu (Central Africa)

Fit: 2.925
4. 93.9% Medieval Iberian (Girona)
6.1% Late Stone Age Forager (East Africa)

Fit: 2.930
5. 94.6% Medieval Iberian (Girona)
5.4% West African Hunter-Gatherer

Three Way Ancient

Fit: 2.312
1.
Insular Celt (Roman Period) 49.5%
Sardinian (Early Middle Ages) 43.4%
Bantu (East Africa) 7.1%

Fit: 2.335
2.
Frisii 44.1%
Sardinian (Early Middle Ages) 48.5%
Bantu (East Africa) 7.4%

Fit: 2.349
3. Scandinavian Viking (Oxford) 42.5%
Sardinian (Early Middle Ages) 50.7%
Bantu (East Africa) 6.8%

Fit: 2.350
4.
Scandinavian Viking (Telemark) 42.7%
Sardinian (Early Middle Ages) 50.3%
Bantu (East Africa) 7.0%

Fit: 2.359
5.
Insular Celt (Catuvellauni) 50.2%
Sardinian (Early Middle Ages) 42.5%
Bantu (East Africa) 7.3%

Fit: 2.362
6.
Scandinavian Viking (Nordland) 40.9%
Sardinian (Early Middle Ages) 51.9%
Bantu (East Africa) 7.2%

Fit: 2.365
7.
Scandinavian Viking (Telemark) 42.8%
Sardinian (Early Middle Ages) 50.3%
Bantu (Central Africa) 6.9%

Fit: 2.366
8.
Frisii 44.2%
Sardinian (Early Middle Ages) 48.5%
Bantu (Central Africa) 7.3%

Fit: 2.370
9.
Insular Celt (Roman Period) 49.5%
Sardinian (Early Middle Ages) 43.4%
Bantu (Central Africa) 7.1%

Fit: 2.383
10.
Insular Celt (Parisi) 49.7%
Sardinian (Early Middle Ages) 43.0%
Bantu (East Africa) 7.3%

Two Way Modern

Fit: 2.261
1.Spanish (Murcia) 95.1%
Umbundu (Angola) 4.9%

Fit: 2.263
2. Makhuwa (Mozambique) 4.9%
Spanish (Murcia) 95.1%

Fit: 2.283
3. Luhya (Kenya) 5.1%
Spanish (Murcia) 94.9%

Fit: 2.285
4. Igbo (Nigeria) 4.9%
Spanish (Murcia) 95.1%

Fit: 2.294
5. Giriama (Kenya) 5.1%
Spanish (Murcia) 94.9%

Fit: 2.297
6. Mende (Sierra Leone) 4.9%
Spanish (Murcia) 95.1%

Fit: 2.298
7. Hutu (Burundi) 5.3%
Spanish (Murcia) 94.7%

Fit: 2.303
8. Akan (Ghana) 4.9%
Spanish (Murcia) 95.1%

Fit: 2.313
9. Bantu (South Africa)
4.8% Spanish (Murcia) 95.2%

Fit: 2.313
10. Mandinka (Gambia) 5%
Spanish (Murcia) 95%

Fit: 2.316
11. Bambara (Mali) 4.9%
Spanish (Murcia) 95.1%

Fit: 2.317
12. Spanish (Murcia) 95%
Wolof (Gambia) 5%

Fit: 2.318
13. Spanish (Murcia) 95.2%
Yoruba (Nigeria) 4.8%

Fit: 2.320
14. Luo (Kenya) 5%
Spanish (Murcia) 95%

Fit: 2.438
15. Aringa (Uganda) 5%
Spanish (Murcia) 95%

Fit: 2.456
16. Fulani (Cameroon) 6.9%
Spanish (Murcia) 93.1%

Fit: 2.483
17. Hutu (Burundi) 6.4%
Spanish (Cantabria) 93.6%

Fit: 2.490
18. Luhya (Kenya) 6.1%
Spanish (Cantabria) 93.9%

Fit: 2.503
19. Makhuwa (Mozambique) 5.9%
Spanish (Cantabria) 94.1%

Fit: 2.504
20. Kikuyu (Kenya) 5.7%
Spanish (Murcia) 94.3%

Fit: 2.505
21. Giriama (Kenya) 6.2%
Spanish (Cantabria) 93.8%

Fit: 2.514
22. Spanish (Cantabria) 94.1%
Umbundu (Angola) 5.9%

Fit: 2.522
23. Sandawe (Tanzania) 5.9%
Spanish (Murcia) 94.1%

Fit: 2.527
24. Luo (Kenya) 6.1%
Spanish (Cantabria) 93.9%

Fit: 2.538
25. Mandinka (Gambia) 6%
Spanish (Cantabria) 94%

Fit: 2.541
26. Spanish (Cantabria) 94%
Wolof (Gambia) 6%

Fit: 2.544
27. Igbo (Nigeria) 5.8%
Spanish (Cantabria) 94.2%

Fit: 2.544
28. Catalan (Catalonia) 90%
Fulani (Cameroon) 10%

Fit: 2.546
29. Mende (Sierra Leone) 5.9%
Spanish (Cantabria) 94.1%

Fit: 2.554
30. Bambara (Mali) 5.9%
Spanish (Cantabria) 94.1%
 
I figured the 2 way would mix you with Iberian + Berber/northwest African. I'm surprised they assigned insular celt for you in those calculations.
 
Last edited:
IMG_1705.jpeg

Modern with 5populations
 
Periodic Ancient Ancestry

MyHeritage raw data:

Iron age

Insular Celt (600 BC–AD 100)80.6%

Italic and Etruscan (900–200 BC)9.0%

Greek (770–400 BC)6.0%

Germanic (AD 100–600)4.4%

Migration period

Roman Britain (AD 100–400)58.6%

Pict (AD 300–500)22.6%

Germanic (AD 100–630)9.4%

Roman Anatolia (100 BC–AD 700)6.2%

Roman Sardinia (AD 400–500)3.2%

Middle Ages

Insular Celt (AD 100–1000)76.8%

Italian (AD 650–1450)9.8%

Germanic (AD 700–1000)9.6%

Sardinian (AD 770–1000)2.6%

France (AD 130–1400)1.2%


AncestryDNA raw data:

Iron age

Insular Celt (600 BC–AD 100)71.2%

Germanic (AD 100–600)12.8%

Italic and Etruscan (900–200 BC)8.6%

Greek (770–400 BC)6.2%

Arabian Peninsula1.2%


Migration period

Roman Britain (AD 100–400)59.4%

Pict (AD 300–500)20.2%

Roman Gaul (AD 130–500)10.8%

Roman Levant (BC 50–AD 700)6.2%

Germanic (AD 100–630)3.4%


Middle Ages

Insular Celt (AD 100–1000)77.2%

Germanic (AD 700–1000)10.6%

Sardinian (AD 770–1000)6.8%

Levantine (AD 300–1300)2.8%

Arabian Peninsula2.6%
 
qh777 said:
gBqVuhZ.jpg
I figured the 2 way would mix you with Iberian + Berber/northwest African. I'm surprised they assigned insular celt for you in those calculations.
Click to expand...
Personally I prefer the “Iberian + SSA” combination, which is more in line with the ancestry of a colonial Portuguese. I think the combination “Iberian + MENA”, in my specific case, is a bit fake: It’s this fake combination of Iberian + MENA that I get in “Living DNA”.
rE0pE0G.jpg
 
Strange how Living dna didn’t assign any SSA. I can’t remember if I asked you this before but have you done genealogical research on your family? I don’t quite agree with the regional percentages I get there myself. Illustrativedna seems to be pretty consistent on the 2way. I get a small percentage of Italic, Greek, or Near Eastern with all raw dna files I uploaded. It’s a similar pattern I’ve seen with other calculators.
 
qh777 said:
Strange how Living dna didn’t assign any SSA. I can’t remember if I asked you this before but have you done genealogical research on your family? I don’t quite agree with the regional percentages I get there myself. Illustrativedna seems to be pretty consistent on the 2way. I get a small percentage of Italic, Greek, or Near Eastern with all raw dna files I uploaded. It’s a similar pattern I’ve seen with other calculators.
Click to expand...
I believe that the Living DNA algorithm, by not isolating my SSA ancestry as a legitimate component that it is, dilutes that component with others from West Eurasia and creates the MENA fiction in my recent ancestry and eliminates all SSA from my autosomal results. In doing so, it reduces the percentages of my legitimate Southern European components by imputing ethnicities that were never part of my family’s modern gene pool such as Northern Moroccans, Algerians, Libyans and Arabs. My genetic background is made up of colonial Portuguese and Portuguese and Spanish immigrants from the late 19th and early 20th centuries. I have no MENA ancestors. My SSA is legitimate and comes from enslaved people who lived with the first Portuguese settlers. The correct thing is to isolate the SSA that varies between 3 and 5% (you can define which African ethnic groups are there) and define the European components of the remaining 95 - 97%, which are mainly from the Iberian peninsula. Amerindians rarely show up in my autosomal results, and this is normal in my specific case.
 
Duarte said:
Two Way Ancient

Fit: 2.756
1. 94.4% Medieval Iberian (Girona)
5.6% Bantu (East Africa)

Fit: 2.762
2. 94.4% Medieval Iberian (Girona)
5.6% Bantu (South Africa)

Fit: 2.767
3. 94.4% Medieval Iberian (Girona)
5.6% Bantu (Central Africa)

Fit: 2.925
4. 93.9% Medieval Iberian (Girona)
6.1% Late Stone Age Forager (East Africa)

Fit: 2.930
5. 94.6% Medieval Iberian (Girona)
5.4% West African Hunter-Gatherer
Click to expand...
Out of curiosity, some two way combinations using all G25 ancient samples in Vahaduo as source and my G25 calculated coordinates by IllustrativeDNA as target:

0.0283 Me_IllustrativeDNA_scaled = 94% Germany_AltInden_Saxon_EMedieval:IND006.A_noUDG + 6% Kenya_IA_Pastoral_o:I8802

0.0283 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG:R10501.SG + 4% Kenya_Kakapel_LIA:KPL002

0.0283 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG:R10501.SG + 4% Mexico_Colonial_African:I10860

0.0284 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG:R10501.SG + 4% Tanzania_Pemba_600BP:I2298_noUDG

0.0284 Me_IllustrativeDNA_scaled = 76% Spain_IA_o:I3324 + 24% CanaryIslands_Guanche.SG:gun002_noUDG.SG

0.0285 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG:R10501.SG + 4% Congo_Kindoki_Protohistoric:KIN002

0.0286 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG:R10501.SG + 4% Congo_Kindoki_Protohistoric:KIN004

0.0287 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG:R10501.SG + 4% Congo_NgongoMbata_Protohistoric:NGO001

0.0289 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG:R10501.SG + 4% Kenya_IA_Pastoral_o:I8802

0.0289 Me_IllustrativeDNA_scaled = 95% Portugal_Miroico_LateRoman.SG:R10508.SG + 5% Tanzania_Pemba_600BP:I2298_noUDG

0.0289 Me_IllustrativeDNA_scaled = 76% Spain_IA_o:I3324 + 24% CanaryIslands_Guanche.SG:gun012_noUDG.SG

0.0290 Me_IllustrativeDNA_scaled = 95% Portugal_Miroico_LateRoman.SG:R10508.SG + 5% Congo_Kindoki_Protohistoric:KIN002

0.0291 Me_IllustrativeDNA_scaled = 95% Portugal_Miroico_LateRoman.SG:R10508.SG + 5% Congo_Kindoki_Protohistoric:KIN004

0.0292 Me_IllustrativeDNA_scaled = 95% Portugal_Miroico_LateRoman.SG:R10508.SG + 5% Mexico_Colonial_African:I10860

0.0292 Me_IllustrativeDNA_scaled = 95% Portugal_Miroico_LateRoman.SG:R10508.SG + 5% Kenya_Kakapel_LIA:KPL002

0.0294 Me_IllustrativeDNA_scaled = 72% Spain_IA_o:I3324 + 28% CanaryIslands_Guanche.SG:gun008_noUDG.SG

0.0295 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG:R10501.SG + 4% Kenya_Kakapel_LSA_Kansyore:KPL001

0.0296 Me_IllustrativeDNA_scaled = 95% Portugal_Miroico_LateRoman.SG:R10501.SG + 5% Kenya_400BP:I0595_noUDG

0.0298 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG:R10501.SG + 4% Kenya_Nyarindi_LSA_Kansyore:NYA002

0.0299 Me_IllustrativeDNA_scaled = 95% Portugal_Miroico_LateRoman.SG:R10508.SG + 5% Congo_NgongoMbata_Protohistoric:NGO001

0.0299 Me_IllustrativeDNA_scaled = 94% Spain_Medieval:I10895 + 6% Kenya_Kakapel_LIA:KPL002

0.0299 Me_IllustrativeDNA_scaled = 95% Portugal_Miroico_LateRoman.SG:R10501.SG + 5% Tanzania_Pemba_1400BP_noUDG:I1048_noUDG
 
Yes, if you've got confirmed SSA ancestry then it's settled that Livingdna produced a misread. This two-way list you produced mirrors well what Illustrative produced. What do you think of using the averaged g25 coords? Do you think it is better to use those to get an idea of one's ancient ancestry? With the allelocator tool you showed me I get similar results but some maybe slightly different out of the 100 I'll pick out some combos from ancestry and myheritage data. I'm using the 1,917 averaged g25 ancient samples.

Ancestrydna:

0.017 qh777_ancestrydna_scaled = 90% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 10% Poland_TRB_o.SG

0.017 qh777_ancestrydna_scaled = 90% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 10% Italy_LaSassa_CA.SG

0.017 qh777_ancestrydna_scaled = 77% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 23% Lebanon_Medieval_o5.SG

0.017 qh777_ancestrydna_scaled = 91% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 9% France_GrandEst_EN.SG

0.017 qh777_ancestrydna_scaled = 91% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 9% Croatia_MN

0.017 qh777_ancestrydna_scaled = 90% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 10% Italy_Sicily_N_Stentinello

0.018 qh777_ancestrydna_scaled = 91% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 9% Germany_Saxony_LBK_N.SG

0.018 qh777_ancestrydna_scaled = 92% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 8% Turkey_N

0.018 qh777_ancestrydna_scaled = 95% England_EastYorkshire_MIA_LIA + 5% Israel_PPNB

0.019 qh777_ancestrydna_scaled = 94% England_EastYorkshire_MIA_LIA + 6% Egypt_ThirdIntermediatePeriod (was somewhere in the middle of 500 combinations)


MyHeritage:

0.016 qh777_MH_scaled = 91% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 9% Serbia_IronGates_N

0.016 qh777_MH_scaled = 92% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 8% Serbia_LepenskiVir_EMN.SG

0.017 qh777_MH_scaled = 92% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 8% Greece_N

0.017 qh777_MH_scaled = 91% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 9% France_GrandEst_EN.SG

0.017 qh777_MH_scaled = 92% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 8% Greece_NeaNikomedeia_EN.SG

0.017 qh777_MH_scaled = 90% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 10% Italy_Sicily_N_Stentinello

0.017 qh777_MH_scaled = 88% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 12% Italy_Sardinia_EarlyMedieval_o

0.017 qh777_MH_scaled = 92% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 8% Turkey_N

0.017 qh777_MH_scaled = 74% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 26% France_MBA

0.020 qh777_MH_scaled = 95% England_EastYorkshire_MIA_LIA + 5% Egypt_ThirdIntermediatePeriod (was quite a ways down like 1500+ out of 2000 in the list)


I have a question about this sample: Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman. I'm assuming the AngloSaxon_EMedieval_Norman portion is just a label referring to the time period? Or is it some Irish guy from the early medieval period with Saxon and Norman admixture?
 
qh777 said:
Yes, if you've got confirmed SSA ancestry then it's settled that Livingdna produced a misread. This two-way list you produced mirrors well what Illustrative produced. What do you think of using the averaged g25 coords? Do you think it is better to use those to get an idea of one's ancient ancestry? With the allelocator tool you showed me I get similar results but some maybe slightly different out of the 100 I'll pick out some combos from ancestry and myheritage data. I'm using the 1,917 averaged g25 ancient samples.

Ancestrydna:

0.017 qh777_ancestrydna_scaled = 90% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 10% Poland_TRB_o.SG

0.017 qh777_ancestrydna_scaled = 90% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 10% Italy_LaSassa_CA.SG

0.017 qh777_ancestrydna_scaled = 77% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 23% Lebanon_Medieval_o5.SG

0.017 qh777_ancestrydna_scaled = 91% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 9% France_GrandEst_EN.SG

0.017 qh777_ancestrydna_scaled = 91% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 9% Croatia_MN

0.017 qh777_ancestrydna_scaled = 90% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 10% Italy_Sicily_N_Stentinello

0.018 qh777_ancestrydna_scaled = 91% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 9% Germany_Saxony_LBK_N.SG

0.018 qh777_ancestrydna_scaled = 92% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 8% Turkey_N

0.018 qh777_ancestrydna_scaled = 95% England_EastYorkshire_MIA_LIA + 5% Israel_PPNB

0.019 qh777_ancestrydna_scaled = 94% England_EastYorkshire_MIA_LIA + 6% Egypt_ThirdIntermediatePeriod (was somewhere in the middle of 500 combinations)


MyHeritage:

0.016 qh777_MH_scaled = 91% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 9% Serbia_IronGates_N

0.016 qh777_MH_scaled = 92% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 8% Serbia_LepenskiVir_EMN.SG

0.017 qh777_MH_scaled = 92% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 8% Greece_N

0.017 qh777_MH_scaled = 91% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 9% France_GrandEst_EN.SG

0.017 qh777_MH_scaled = 92% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 8% Greece_NeaNikomedeia_EN.SG

0.017 qh777_MH_scaled = 90% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 10% Italy_Sicily_N_Stentinello

0.017 qh777_MH_scaled = 88% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 12% Italy_Sardinia_EarlyMedieval_o

0.017 qh777_MH_scaled = 92% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 8% Turkey_N

0.017 qh777_MH_scaled = 74% Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman + 26% France_MBA

0.020 qh777_MH_scaled = 95% England_EastYorkshire_MIA_LIA + 5% Egypt_ThirdIntermediatePeriod (was quite a ways down like 1500+ out of 2000 in the list)


I have a question about this sample: Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman. I'm assuming the AngloSaxon_EMedieval_Norman portion is just a label referring to the time period? Or is it some Irish guy from the early medieval period with Saxon and Norman admixture?
Click to expand...

Using the average values I get these mixes:
0.02251 Me_IllustrativeDNA_scaled = 76% Italy_Tuscany_Siena_Etruscan + 24% England_Saxon_oAfrica.SG
0.02339 Me_IllustrativeDNA_scaled = 77% Italy_Broion_BA.SG + 23% England_Saxon_oAfrica.SG
0.02492 Me_IllustrativeDNA_scaled = 76% Italy_IA_Republic.SG + 24% England_Saxon_oAfrica.SG
0.02606 Me_IllustrativeDNA_scaled = 77% Italy_TarquiniaMonterozzi_IA.SG + 23% England_Saxon_oAfrica.SG
0.02668 Me_IllustrativeDNA_scaled = 77% Italy_Tuscany_Grosseto_Etruscan + 23% England_Saxon_oAfrica.SG
0.02703 Me_IllustrativeDNA_scaled = 88% Portugal_Miroico_LateRoman.SG + 12% England_Saxon_oAfrica.SG
0.02716 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Kenya_Kakapel_LIA
0.02716 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Cameroon_SMA
0.02719 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Tanzania_Pemba_600BP
0.02732 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Mexico_Colonial_African
0.02732 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Congo_Kindoki_Protohistoric
0.02749 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% South_Africa_400BP.SG
0.02760 Me_IllustrativeDNA_scaled = 77% Slovenia_MBA + 23% England_Saxon_oAfrica.SG
0.02764 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Congo_NgongoMbata_Protohistoric
0.02766 Me_IllustrativeDNA_scaled = 53% Spain_Hellenistic_oLocal + 47% Spain_NazariPeriod_LateMuslim
0.02780 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Botswana_Xaro_EIA
0.02786 Me_IllustrativeDNA_scaled = 79% Germany_Roman.SG + 21% England_Saxon_oAfrica.SG
0.02806 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Kenya_Kakapel_LSA_Kansyore
0.02809 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Kenya_IA_Pastoral_o
0.02810 Me_IllustrativeDNA_scaled = 82% Spain_Medieval + 18% England_Saxon_oAfrica.SG
0.02821 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Kenya_LSA
0.02823 Me_IllustrativeDNA_scaled = 75% Slovenia_MIA_oSouth + 25% England_Saxon_oAfrica.SG
0.02828 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Kenya_Nyarindi_LSA_Kansyore
0.02840 Me_IllustrativeDNA_scaled = 76% Italy_IsolaSacra_RomanImperial_oEurope.SG + 24% England_Saxon_oAfrica.SG
0.02840 Me_IllustrativeDNA_scaled = 79% Spain_Visigoth_Barcelona + 21% England_Saxon_oAfrica.SG
0.02860 Me_IllustrativeDNA_scaled = 97% Portugal_Miroico_LateRoman.SG + 3% Malawi_Fingira_LSA_2500BP
0.02865 Me_IllustrativeDNA_scaled = 97% Portugal_Miroico_LateRoman.SG + 3% Malawi_Fingira_LSA_2500BP_noUDG
0.02867 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Tanzania_Kisese_LSA
0.02868 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Tanzania_Zanzibar_1300BP
0.02870 Me_IllustrativeDNA_scaled = 94% Spain_Medieval + 6% Kenya_Kakapel_LIA
0.02873 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Kenya_400BP
0.02873 Me_IllustrativeDNA_scaled = 94% Spain_Medieval + 6% Mexico_Colonial_African
0.02876 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Tanzania_Zanzibar_1300BP_noUDG
0.02877 Me_IllustrativeDNA_scaled = 94% Spain_Medieval + 6% South_Africa_400BP.SG
0.02878 Me_IllustrativeDNA_scaled = 72% Spain_IA_o + 28% Austria_Ovilava_Roman_oAfrica.SG
0.02884 Me_IllustrativeDNA_scaled = 97% Portugal_Miroico_LateRoman.SG + 3% Malawi_Hora_LSA_15500BP
0.02886 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Tanzania_PN_IA
0.02886 Me_IllustrativeDNA_scaled = 74% Spain_IA_o + 26% CanaryIslands_Guanche.SG
0.02887 Me_IllustrativeDNA_scaled = 75% Slovenia_LBA + 25% Spain_BellBeaker_oAfrica
0.02891 Me_IllustrativeDNA_scaled = 94% Spain_Medieval + 6% Botswana_Xaro_EIA
0.02891 Me_IllustrativeDNA_scaled = 54% Scotland_C_EBA_highEEF + 46% Tunisia_Punic_oAfrica2.SG
0.02893 Me_IllustrativeDNA_scaled = 94% Spain_Medieval + 6% Tanzania_Pemba_600BP
0.02894 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Tanzania_Pemba_1400BP_noUDG
0.02896 Me_IllustrativeDNA_scaled = 97% Portugal_Miroico_LateRoman.SG + 3% Malawi_Hora_LSA_8500BP.SG
0.02896 Me_IllustrativeDNA_scaled = 97% Portugal_Miroico_LateRoman.SG + 3% Malawi_Fingira_LSA_6000BP
0.02898 Me_IllustrativeDNA_scaled = 92% Spain_Visigoth_Barcelona + 8% Kenya_IA_Pastoral_o
0.02900 Me_IllustrativeDNA_scaled = 97% Portugal_Miroico_LateRoman.SG + 3% Malawi_Chencherere_LSA_5200BP
0.02901 Me_IllustrativeDNA_scaled = 86% Spain_Visigoth_Barcelona + 14% Sudan_EarlyChristian
0.02906 Me_IllustrativeDNA_scaled = 94% Spain_Medieval + 6% Congo_Kindoki_Protohistoric
0.02908 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Ethiopia_4500BP
0.02915 Me_IllustrativeDNA_scaled = 92% Italy_Tuscany_Siena_Etruscan + 8% Kenya_Kakapel_LIA
0.02928 Me_IllustrativeDNA_scaled = 94% Spain_Medieval + 6% Cameroon_SMA
0.02930 Me_IllustrativeDNA_scaled = 93% Spain_Visigoth_Barcelona + 7% Kenya_Kakapel_LIA
0.02938 Me_IllustrativeDNA_scaled = 75% France_MBA + 25% England_Saxon_oAfrica.SG
0.02940 Me_IllustrativeDNA_scaled = 94% Spain_Medieval + 6% Kenya_IA_Pastoral_o
0.02944 Me_IllustrativeDNA_scaled = 76% Italy_Tuscany_Pisa_Etruscan + 24% England_Saxon_oAfrica.SG
0.02944 Me_IllustrativeDNA_scaled = 64% Lebanon_Medieval_o1.SG + 36% Scotland_C_EBA_highEEF
0.02951 Me_IllustrativeDNA_scaled = 74% Germany_Lech_EBA + 26% Spain_BellBeaker_oAfrica
0.02960 Me_IllustrativeDNA_scaled = 65% Spain_Islamic_Almohade + 35% Scotland_C_EBA_highEEF
0.02965 Me_IllustrativeDNA_scaled = 51% Germany_Schortens_Saxon_EMedieval + 49% Tunisia_Punic_oAfrica2.SG
0.02967 Me_IllustrativeDNA_scaled = 86% Spain_Visigoth_Barcelona + 14% Sudan_EarlyChristian_S
0.02968 Me_IllustrativeDNA_scaled = 94% Spain_Medieval + 6% Congo_NgongoMbata_Protohistoric
0.02970 Me_IllustrativeDNA_scaled = 68% Spain_Islamic_Almohade + 32% Germany_Schortens_Saxon_EMedieval
0.02983 Me_IllustrativeDNA_scaled = 94% Spain_Medieval + 6% Kenya_LSA
0.02999 Me_IllustrativeDNA_scaled = 94% Spain_Medieval + 6% Kenya_Kakapel_LSA_Kansyore

Ireland_Kilteasheen_AngloSaxon_EMedieval_Norman: It’s a sample from the migration period - Modeling with modern samples this sample appears to be a mix of ethnic Irish (local) with about 20% Nordic ethnic.
 
Duarte said:
0.02716 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Kenya_Kakapel_LIA
0.02716 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Cameroon_SMA
0.02719 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Tanzania_Pemba_600BP
0.02732 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Mexico_Colonial_African
0.02732 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% Congo_Kindoki_Protohistoric
0.02749 Me_IllustrativeDNA_scaled = 96% Portugal_Miroico_LateRoman.SG + 4% South_Africa_400BP.SG
Click to expand...
Looks like we have a good combo for you here. I looked up the location of Portugal Miroico and it is in the city of Cascais. Do you have any ancestors from there? For instance, I can speculate that when I get paired with the insular Celtic tribe Parisi and Dobunni that comes from my English ancestry. I believe that I have ancestors from England that come from central England (Stoke on Trent) where the Celtic Dobunni were from and Yorkshire where the Parisi are from.
 
qh777 said:
SPiYEwl.jpg
Looks like we have a good combo for you here. I looked up the location of Portugal Miroico and it is in the city of Cascais. Do you have any ancestors from there? For instance, I can speculate that when I get paired with the insular Celtic tribe Parisi and Dobunni that comes from my English ancestry. I believe that I have ancestors from England that come from central England (Stoke on Trent) where the Celtic Dobunni were from and Yorkshire where the Parisi are from.
Click to expand...
Thx qh777
According to information from an Iberian forum,
Portugal_Miroico_LateRoman.SG:R10501 is essentially like a modern Portuguese.

This pic, from 1903, from the collection of my mother, is of my grand-grand-grand-father. It is a pic taked in Lisbon (Cascais is a nearby City). He is from Reigada, Figueira do Castelo Rodrigo, Portugal, frontier with Spain.
 
Wow! Thanks for sharing Duarte. I think that's great your family still has those photos. Some of my distant relatives on my father's have posted photos of my 3/4-6/7 generations back ancestors on ancestry . com . My maternal side doesn't have many surviving photos.
 
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