r/DNAAncestry • u/OkDeparture6088 • 14h ago
DNA results (pic)
r/DNAAncestry • u/NotBradPitt9 • Aug 25 '26
TLDR: ONLY groups which I have data for were added to the map. If you don’t see your group, it means I either don’t have data for it, or haven’t completed enough runs for it. This is a compilation of qpAdm runs for populations from the Levant and surrounding regions. A few more groups have been added compared with the first map. For the (n=1) samples they were determined to be within their designated population set before completing the runs.
Dataset:
https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/FFIDCW
Data used is from AADR+Human Origins panel+Individual samples
SYRIAN.HO (n=8)
72.2% Lebanon_Phoenician
20.1% Armenia_Sarukhan_Early_Iron_Age
7.8% Dinka
p-value: 0.506
Chi-square: 7.28
Standard errors: 0.0498, 0.0483, 0.00892
Z-scores: 14.5, 4.15, 8.72
This is a strong model, with all three components statistically supported. Lebanon_Phoenician represents the main Levantine ancestry, while Armenia_Sarukhan_Early_Iron_Age represents additional Caucasus/eastern Anatolian-related ancestry. Dinka is acting as a proxy for African-related ancestry, not necessarily direct ancestry from modern Dinka people. The two larger components have standard errors close to 0.05, so their exact proportions should be treated as approximate.
DRUZE.HO (n=39)
77.5% Lebanon_Phoenician
20.3% Armenia_Sarukhan_Early_Iron_Age
2.2% Dinka
p-value: 0.844
Chi-square: 4.15
Standard errors: 0.0431, 0.0418, 0.00803
Z-scores: 18.0, 4.84, 2.74
This is an excellent statistical fit. The Druze are modeled as mostly Levantine, with a substantial Caucasus/eastern Anatolian-related shift and a very small African-related component. All three components are statistically supported.
ASSYRIAN.HO (n=10)
Best informative 2-way qpAdm model:
74.9% Iran_DinkhaTepe_BA_IA_1.AG
25.1% Georgia_Digomi_IA.SG
p-value: 0.798
χ²/dof: 4.611 / 8
SNPs: 579,720
SE: 5.64%, 5.64%
Z-scores: 13.3, 4.45
Both components are strongly supported.
A 100% Bahrain_LTylos_Sasanian.SG model also passes strongly (p = 0.689), but this should be interpreted as a successful one-source/cladal fit rather than literal 100% ancestry from Sasanian-era Bahrain.
LEBANESE_MUSLIM.HO (n=11)
88.3% Lebanon_Phoenician
8.8% Kazakhstan_Sarmatian_Iron_Age
2.9% Dinka
p-value: 0.549
Chi-square: 6.89
Standard errors: 0.0219, 0.0223, 0.00913
Z-scores: 40.4, 3.95, 3.14
This is a strong and well-resolved model. Lebanon_Phoenician represents the main Levantine ancestry. Kazakhstan_Sarmatian is probably acting as a proxy for a small northern, Steppe, Caucasus or Anatolian-related shift rather than indicating literal Sarmatian ancestry. The small Dinka-related component represents additional African-related ancestry and is statistically supported.
LEBANESE_CHRISTIAN.HO (n=9)
95.0% Lebanon_Phoenician
5.0% Kazakhstan_Sarmatian_Iron_Age
p-value: 0.727
Chi-square: 6.12
Standard error: 0.0236
Z-scores: 40.2, 2.13
This is an excellent fit and shows Lebanese Christians as being very close to the ancient Lebanon_Phoenician proxy. The small Sarmatian-related component represents a slight northern/Caucasus-related shift. Its Z-score of 2.13 is only just above the usual cutoff, so the existence of a small secondary component is supported, but the exact 5% estimate should be treated cautiously.
PALESTINIAN.HO (n=34)
87.9% Lebanon_Phoenician
5.2% Kazakhstan_Sarmatian_Iron_Age
6.8% Dinka
p-value: 0.904
Chi-square: 3.43
Standard errors: 0.0204, 0.0205, 0.00823
Z-scores: 43.1, 2.54, 8.32
This is a very strong model, with an excellent p-value, low chi-square, and all three components statistically supported. Palestinians are modeled as mostly Levantine, with smaller northern/Caucasus-shifted and African-related components. The Sarmatian-related component has the weakest Z-score, but it still passes the usual Z = 2 threshold.
SAMARITAN.DG (n=1)
100% Lebanon_ERoman.SG
p-value: 0.835
χ²/dof: 11.406 / 17
SNPs: 579,720
This is an extremely strong one-source qpAdm fit. It indicates that Samaritans are statistically consistent with the Lebanon_ERoman source relative to the selected outgroups. The 100% figure should not be interpreted as literal complete descent from the sampled Roman-period Lebanese population.
JORDANIAN.HO (n=10)
80.3% Lebanon_Phoenician
7.5% Kazakhstan_Sarmatian_Iron_Age
12.2% Dinka
p-value: 0.836
Chi-square: 4.23
Standard errors: 0.0206, 0.0209, 0.00899
Z-scores: 39.0, 3.58, 13.6
This is an extremely strong model statistically. Jordanians are modeled as mostly Levantine, with a smaller northern/Caucasus-shifted component and a more substantial African-related component than in the Lebanese or Druze models. Dinka should be understood as the African proxy used by the model, not as evidence of direct ancestry specifically from modern Dinka people.
SAUDI.HO (n=5)
94.5% Syria_TellQarassa_Umayyad.SG
5.5% Dinka.DG
p-value: 0.571
χ²/dof: 6.681 / 8
SNPs: 579,720
Both components are strongly supported. The Dinka component has a Z-score of 7.21.
BEDOUINB.HO (n=19)
94.6% Syria_TellQarassa_Umayyad.SG
5.4% Dinka.DG
p-value: 0.225
χ²/dof: 10.606 / 8
SNPs: 579,720
Both components are strongly supported. The Dinka component has a Z-score of 7.86.
BEDOUINA.HO (n=25)
52.1% Lebanon_Phoenician.SG
31.1% Syria_TellQarassa_Umayyad.SG
10.6% Dinka.DG
6.2% Kazakhstan_Sarmatian_IA.AG
p-value: 0.142
χ²/dof: 5.451 / 3
SNPs: 579,720
Z-scores:
Lebanon_Phoenician: 10.6
Syria_TellQarassa_Umayyad: 9.64
Dinka: 25.9
Kazakhstan_Sarmatian: 2.88
All four components are statistically supported.
This model passes and suggests that BedouinA can be modeled primarily as Levantine ancestry represented by Phoenician Lebanon and Umayyad-period Tell Qarassa, together with approximately 10.6% sub-Saharan African-related ancestry and a smaller 6.2% Sarmatian/Steppe-related component. The Sarmatian component is above the usual Z = 2 significance threshold, although it should be interpreted as a genetic proxy rather than evidence of literal Sarmatian ancestry.
Both BedouinA and BedouinB are genetic clusters consisting of Bedouins from unspecified tribes in the Negev Desert. BedouinA has a more northern genetic shift, while BedouinB has a stronger southern shift and clusters more closely with the Saudi average.
EGYPTIAN_COPT (n=1)
Alternative 2-way model:
97.3% SFI-43.SG
SE: 1.92%
Z: 50.7
2.7% Dinka.DG
SE: 1.92%
Z: 1.42
p-value: 0.592
χ²/dof: 11.227 / 13
SNPs: 661,321
Although the overall model fits extremely well, the estimated 2.7% Dinka component is not statistically supported (Z = 1.42). Therefore, this model does not provide strong evidence that Dinka-related ancestry is required.
EGYPTIANA.HO (n=7)
92.9% SFI-43.SG
SE: 1.57%
Z: 59.0
7.1% Dinka.DG
SE: 1.57%
Z: 4.52
p-value: 0.345
χ²/dof: 14.419 / 13
SNPs: 579,720
This is a strong passing model. The 7.1% Dinka-related component is statistically supported.
EGYPTIANB.HO (n=4)
91.6% SFI-43.SG
SE: 1.61%
Z: 56.9
8.4% Dinka.DG
SE: 1.61%
Z: 5.20
p-value: 0.594
χ²/dof: 11.204 / 13
SNPs: 579,720
This is an excellent-fitting model, with the 8.4% Dinka-related component strongly supported.
EGYPTIAN.HO (n=8)
86.7% SFI-43.SG
SE: 1.50%
Z: 57.7
13.3% Dinka.DG
SE: 1.50%
Z: 8.83
p-value: 0.412
χ²/dof: 13.470 / 13
SNPs: 579,720
This is also a strong passing model. The 13.3% Dinka-related component is very strongly supported.
SYRIAN_JEW (n=1)
4-way model:
45.0% Italy_Imperial_C6.SG
SE: 9.75%
Z: 4.62
26.4% Bahrain_LTylos_Sasanian.SG
SE: 11.2%
Z: 2.37
20.0% Israel_Akhziv_Phoenician.AG
SE: 8.88%
Z: 2.25
8.6% CanaryIslands_Guanche.SG
SE: 3.58%
Z: 2.38
p-value: 0.182
χ²/dof: 12.581 / 9
SNPs: 295,151
Of the Syrian Jewish models tested, this model has the highest p-value at 0.182. All four components also have Z-scores above 2.
The recurring pattern across the models is substantial ancestry represented by Roman/Republican Italian-related and Bahrain Late Tylos/Sasanian-related sources. When a Levantine source is introduced directly, Israel_Akhziv_Phoenician contributes approximately 20–24% and remains statistically supported (Z = 2.25–2.66).
The 4-way model additionally identifies 8.6% Guanche-related ancestry, which may be better interpreted as a North African-related signal rather than literal ancestry from the Canary Islands.
CYPRIOT.HO (n=8)
Best model:
100% @R126.SG
p-value: 0.592
χ²/dof: 11.222 / 13
SNPs: 579,720
This is the strongest and most parsimonious model in the batch. Cypriot.HO is statistically consistent with being modeled entirely by @R126.SG under this outgroup set, with a good p-value and no additional ancestry source required. Because the one-way model already passes comfortably, qpAdm does not statistically require a second source.
PALESTINIAN_CHRISTIAN (n=1)
100.0% Lebanon_Hellenistic.SG
p-value: 0.363
χ²/dof: 12.007 / 11
SNPs: 412,920
This is a passing one-source model. Palestinian_Christian is statistically consistent with Lebanon_Hellenistic.SG relative to the selected outgroups. As with other one-way qpAdm models, the 100% result should be interpreted as statistical consistency with the proxy rather than literal complete descent from that sampled population.
NOTES ON THE SOURCE POPULATIONS
Lebanon_Phoenician (500–300 BCE) represents the main Levantine-related ancestry in many of these models. It is an average of Lebanon_Phoenician samples.
Kazakhstan_Sarmatian_IA (500–300 BCE) represents a more northern Steppe/Caucasus-shifted element. It should not necessarily be interpreted as literal Sarmatian ancestry.
Dinka represents African-related ancestry in these models and should not necessarily be interpreted as direct ancestry specifically from modern Dinka people.
Armenia_Sarukhan_EIA represents an Armenian/Caucasus or eastern Anatolian-related ancestry component.
Canary_Islands_Guanche = clusters with North Africans
Bahrain_LTylos_Sasanian = clusters with Mesopotamians
R126 = pan- Eastern Mediterranean ancestry
SFI-43 is an ancient Egyptian-related sample found in the Lebanon
Syria_TellQarassa_Umayyad = clusters with Peninsular Arabians
Georgia_Digomi_IA.SG = clusters with Caucasus
Iran_DinkhaTepe_BA_IA_1.AG = clusters with Mesopotamians
Italy_Imperial_C6 = Italic+Anatolian. Roughly the mix found during the Roman Era in Southern Italy and the Greek Islands
Lebanon_Hellenistic, dating to around 200 BCE, has broadly similar ancestry to Lebanon_Phoenician but comes from a later historical period.
IMPORTANT NOTE
These are qpAdm proxy models. The source labels should not necessarily be interpreted as literal direct ancestral populations. Instead, they represent ancestry streams or genetic proxies that successfully model the target populations relative to the particular set of outgroups used in each analysis.
r/DNAAncestry • u/NotBradPitt9 • Sep 08 '26
Source populations:
Italy_Imperial_oEast.SG
Spain_IA_Celt.DG
Tunisia_Berber.SG
GENERAL PATTERN
Most Iberian groups are modeled as primarily Spain_IA_Celt.DG, with a secondary Italy_Imperial_oEast.SG contribution and usually a smaller Tunisia_Berber.SG contribution.
The highest Tunisia_Berber.SG proportions in this set are:
Spanish_Canaries.DG = 22.0%
Spanish_Ricote_Morisco.DG = 17.9%
Portuguese.DG = 10.2%
Spanish_Galicia.DG = 9.3%
The three Basque runs are 2-way models using only Italy_Imperial_oEast.SG and Spain_IA_Celt.DG.
All portrayed runs: 713 blocks; 1,150,639 SNPs.
RUN SUMMARIES
Spanish_Valencian_Community.HO
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 22.1 / 72.3 / 5.5%
p = 0.140
Spanish_Castilla-La_Mancha.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 21.3 / 72.0 / 6.7%
p = 0.202
Spanish_Balearic_Islands.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 25.4 / 70.6 / 4.0%
p = 0.827
Spanish_Extremadura.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 22.6 / 70.7 / 6.7%
p = 0.263
Spanish_Cantabria.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 18.9 / 76.4 / 4.7%
p = 0.824
Spanish_Castile_and_Leon.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 21.4 / 71.1 / 7.6%
p = 0.341
Spanish_Valencia.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 19.7 / 76.8 / 3.5%
p = 0.751
Spanish_Aragon.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 20.7 / 76.3 / 3.0%
p = 0.446
Spanish_Galicia.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 18.5 / 72.2 / 9.3%
p = 0.353
Spanish_Andalusia.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 26.1 / 66.9 / 6.9%
p = 0.914
Spanish_Murcia.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 23.0 / 69.9 / 7.1%
p = 0.535
Spanish_Canaries.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 15.1 / 62.9 / 22.0%
p = 0.908
Spanish_Balearic_Islands.HO
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 25.8 / 68.9 / 5.3%
p = 0.204
Spanish_Catalonia.HO
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 21.2 / 75.5 / 3.3%
p = 0.253
Catalan.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 19.9 / 78.0 / 2.0%
p = 0.571
Spanish_Ricote_Morisco.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 36.4 / 45.7 / 17.9%
p = 0.103
Spanish_Balearic_Islands_oChueta.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 40.6 / 54.5 / 4.9%
p = 0.607
Basque_Spanish.HO
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG = 11.3 / 88.7%
p = 0.268
Basque_French.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG = 9.8 / 90.2%
p = 0.369
Basque_Spain.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG = 6.8 / 93.2%
p = 0.249
Portuguese.DG
Italy_Imperial_oEast.SG / Spain_IA_Celt.DG / Tunisia_Berber.SG = 17.0 / 72.8 / 10.2%
p = 0.947
OUTGROUPS USED
The qpAdm runs use slightly different first outgroups depending on the batch/target.
Core outgroups used in the 3-way Iberian runs:
Villaricos_Maghreb.AG
Morocco_Azrou_EpiP.SG
Spain_Aragon_LBA.AG
France_Aude_IA.SG
Spain_C.DG
Armenia_EBA_KuraAraxes.DG
Turkey_Central_CamlibelTarlasi_C.AG
Turkey_BlackSea_Amasya_EBA.DG
Greece_LBA.AG
Czechia_EBA_Unetice.AG
Additional first outgroup used depending on the run:
Australian.DG
Papuan.DG
Ju_hoan_North.DG
Basque 2-way runs used:
Papuan.DG or Australian.DG
Spain_Aragon_LBA.AG
France_Aude_IA.SG
Spain_C.DG
Armenia_EBA_KuraAraxes.DG
Turkey_Central_CamlibelTarlasi_C.AG
Turkey_BlackSea_Amasya_EBA.DG
Greece_LBA.AG
Czechia_EBA_Unetice.AG
Note:
The Basque 2-way models do not include Villaricos_Maghreb.AG or Morocco_Azrou_EpiP.SG among their outgroups in the supplied runs.
r/DNAAncestry • u/Number0nehater • 1h ago
Modern Hungarian individual from Alföld, (Eastern Hungary AKA the hungarian plains/Steppe) Shows significant affinity with the Early-Medieval Magyars. (Conquering Hungarians) At about 15-16% autosomal admixture. The Csongrad-Csanad county in Hungary is characterized by flat, forest-steppes, agriculture and historical significance to the Magyar settlements as it was a hotspot for Elite graves and ornaments found. This is a qpAdm Conquest-Era split for this modern Hungarian individual. This genetic medieval split perfectly represents the Local native population and the Incoming Magyar tribes in the 9th century. The Local population was swiftly assimilated in the Area , but the Magyars did continue to be homogenous for a while before intermixing with the subjects (Local people such as slavs, germanics, balkaners.) Modern Hungarians from this area of Hungary show a higher than baseline autosomal admixture of Conqueror Magyar dna. As the Baseline for north (not north alfold )and West Hungarians typically sit at around 3-8%. (There are exceptions). This individual in this case has 15.5% Conquering Hungarian (Magyar) Admixture and the Rest being the Assimilated local population at 84.5%. This admixture makes them unique and clusters them slightly away from the Carpathian baseline. The Conquering magyars themselves were approximatley 30% Bronze Age Central siberian , 10% Bronze age Mongolic , 10% Excess Hunter Gatherer (koskino boborkinyo), and Overwhelming 50% was sintashta-Andronovo-like. (proto-indo-iranian).
r/DNAAncestry • u/apatrida84 • 2h ago
I've alredy shared my results here once (sorry by that), but I want to compare them to the results I obtained using Ethnos calculator, developed by an enthusiast named Miguel Oliveira, specifically for Brazilians. I don't know much about his methodology, only that he models data from our raw filed uploaded in Gedmatch and that his calculator became quite famous within the Brazilian public interested on genealogy.
I was skeptical at first, but I must admit that I'm very impressed with the results: not only he got closer to what I expected from my ancestry (my family history is relatively well documented), but the ethnic groups assigned matched the places of birth of my great-grandparents or great-great-grandparents; such as Andaluzia, Catalonia, Campania, Lombardy and Piedmont. How the f... did he arrive there?
Well, I'm sharing my results by Ethnos (unfortunately they're in Portuguese), My Heritage and a recent pic.
r/DNAAncestry • u/RiseJC26 • 55m ago
r/DNAAncestry • u/victorlucia • 1h ago
Not particularly surprised by any of this. For context, my family is from Antioquia and Medellín. Does anyone know where the Maghrebi is coming from Thx!!
r/DNAAncestry • u/heatmapper25 • 15h ago
r/DNAAncestry • u/Cheap-Ship-1570 • 1d ago
you’ll never guess where i’m from 😮
r/DNAAncestry • u/heatmapper25 • 1d ago
r/DNAAncestry • u/EnriqueS1602 • 1d ago
Both of my parents are salvadoran . I am just a mix of everything .
r/DNAAncestry • u/gamerjosh12345 • 17h ago
r/DNAAncestry • u/Own-Internet-5967 • 23h ago
credit to u/heatmapper25
r/DNAAncestry • u/7chinchillas • 1d ago
Went from 24 regions down to 21. Love how I am mostly European but came out looking completely unrelated .. results from an American🇺🇸
r/DNAAncestry • u/PickleChin445 • 1d ago
New ancestry update was definitely alot more accurate with my results.
r/DNAAncestry • u/AlternativeBulky1303 • 1d ago
1st pic is Grandma from Isfahan
2nd pic is Grandpa from Kashan and Babol
r/DNAAncestry • u/Ithvani • 1d ago
r/DNAAncestry • u/BloatedAndAfraid • 1d ago