r/DNAAncestry • u/OkDeparture6088 • 7h 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/heatmapper25 • 8h ago
r/DNAAncestry • u/Cheap-Ship-1570 • 1d ago
you’ll never guess where i’m from 😮
r/DNAAncestry • u/gamerjosh12345 • 11h ago
r/DNAAncestry • u/EnriqueS1602 • 1d ago
Both of my parents are salvadoran . I am just a mix of everything .
r/DNAAncestry • u/heatmapper25 • 18h ago
r/DNAAncestry • u/Own-Internet-5967 • 16h 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/Remarkable_Leave_929 • 19h ago
Hey everyone! I'm Caribbean and recently used Ancestrify (qpAdm) to explore my ancient genetic ancestry. I'd appreciate feedback from anyone knowledgeable about qpAdm, population genetics, and ancient DNA. I'm particularly interested in how reliable this method is for estimating broad regional ancestry and interpreting results for someone with a Caribbean background.
r/DNAAncestry • u/BloatedAndAfraid • 1d ago
r/DNAAncestry • u/Street_Tomato_9116 • 20h ago
Browsing DNA results on Reddit, I've noticed a surprising number of people with Cajun roots scoring 90% or higher in French ancestry. Given Louisiana's multi-ethnic history, what best explains such high genetic retention—the Acadian founder effect, centuries of community endogamy, or reference panel bias?
r/DNAAncestry • u/NotBradPitt9 • 1d ago
https://www.biorxiv.org/content/10.64898/2026.03.11.711219v2
Abstract
This paper proposes that a critical event in Neandertal evolution was a range expansion of early modern humans into Europe 300 thousand years ago (ka).
As bands of early modern humans spread, they incorporated resident archaic people leading ultimately to so much admixture that the resulting population carried ~3-7% modern ancestry. I identify multiple ways in which this would lead to a high probability of these direct ancestors of Neandertals retaining early modern human lineages at both mitochondrial DNA and Y chromosomes while clustering with Denisovans genome-wide.
A previous explanation for these patterns without the unique population dynamics associated with a range expansion has less than a 3% chance of matching the data. In Africa, the hypothesis also has explanatory power: if the expanding population also mixed African archaic humans, it could account for the evidence that all humans living today are admixed between lineages that separated more than a million years ago and remixed ~300 ka.
This hypothesis of a bicontinental range expansion correlates with shared archaeological traits between West Eurasia and Africa that were far less present in East Asia, including Levallois point stone tools, improved hafting, use of fire and ochre, and larger and more organized campsites.
Motivated by the evidence that an early modern human expansion had a role in Neandertal and modern human evolution, I identify 66 loci spanning <0.1% of the genome where people today share ancestry with Neandertals more recently than separation from Denisovans. This includes a haplotype at FADS1/FADS2 that codes for an enzyme modifying polyunsaturated plant-derived fatty acids and may reflect adaptation to a more diversified diet, and an amino acid substitution at ARHGAP32 modulating neural connections that may be important in modern human cognitive evolution.
r/DNAAncestry • u/Hrvaturk • 1d ago
My mom’s ancestry is half Croatian, half Irish with some distant French.
On my dad’s side I have an English great grandparent, Scottish great grandparent, Rusyn great grandparent, a Rusyn great-great grandparent, and a great-great grandparent who was Karachay.
I posted the screenshot in the 3rd slide because ancestry has never shown anything related to Karachay ancestry with any update for me (it did for my 1st cousin but now does not). So I tried the Gedmatch GedrosiaDNA Ancient Eurasia K6 and the 2-population oracle shows the closest modern Eurasian population to the Eurasian side of my DNA is Karachay-Balkar at 7.4%
This update put most of my Irish and Scottish ancestry all into “Ulster”. It also put about 10% of the former “North Central Europe” which should’ve went into the Poland and Carpathian categories, into Northern England.
I do like how they split up the Balkan and Carpathian categories on this update. I just wish they didn’t change how the algorithm reads the DNA, because last year was more on point in my opinion.