r/DNAAncestry • u/Rodouo • 17h ago
Ecuadorian DNA results
Indigenous with trace Iberian and Sephardic
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/Rodouo • 17h ago
Indigenous with trace Iberian and Sephardic
r/DNAAncestry • u/Lonely-Vanilla6037 • 12h ago
Is that near enough
r/DNAAncestry • u/Tight_Pressure_3979 • 2h ago
r/DNAAncestry • u/Legitimate_Fun_4859 • 14h ago
r/DNAAncestry • u/Temporary_Ship6031 • 6h ago
r/DNAAncestry • u/SnooCompliments9787 • 15h ago
I built MYDNATLAS. These are actual screenshots from its Custom Model tool, using the built-in "Load example" coordinates. This is a reference-data demonstration, not my DNA or a customer's result. The QA sample name at the top is the account selector; the actual target is the Eastern_European_Hunter-Gatherer coordinate row in the input field.
The six sources are Western European Hunter Gatherer, Caucasus Hunter Gatherer, Ancient North Eurasian, Ancient Ancestral South Indian, Natufian Hunter Gatherer and Anatolia Neolithic Farmer.
For that source set, the displayed mixture is:
- Ancient North Eurasian: 73.7%
- Western European Hunter Gatherer: 25.1%
- Caucasus Hunter Gatherer: 1.2%
The fit is 9.68, labelled Fair. PC10 has the largest residual, shown as +/-4.38. In distance-ranking mode, Ancient North Eurasian is the closest single source at 14.94.
Those outputs answer different questions. The nearest single reference is not an ancestry percentage, and mixture weights depend on the sources supplied. A historical label on a fitted component is not proof of a particular genealogical ancestor. This is coordinate fitting, not qpAdm.
I want the interface to make the limitations as visible as the percentages. Which source changes would you test first for this example, and what would make the fit explanation more useful?
For anyone asking about access: MYDNATLAS has a separate $15 USD raw-DNA conversion service and analysis subscriptions from $29 USD/year. The entry plan currently includes one conversion and three existing-G25 imports per year. This example does not benchmark conversion accuracy or turnaround. Current details: https://mydnatlas.com/pricing
r/DNAAncestry • u/WallaceWells69 • 16h ago
r/DNAAncestry • u/heatmapper25 • 22h ago
r/DNAAncestry • u/OrometheGreat • 1d ago
r/DNAAncestry • u/Hot_Literature3381 • 1d ago
My DNA result was recently updated to 100% from Arab Peninsula. It was not like that before. I had some African origin before like 12% but that no longer the case apparently
r/DNAAncestry • u/Original-Writer1341 • 20h ago
It says I am like 70% English but most my family ancestry is from Scotland and Ireland according to both sides of my family. I also have slight native ancestry on both sides that isnt showing but gemini explained how black and native ancestry if far back enough sometimes doesnt show.
Should I get me and my bro and mom to switch to 23andme? Is it more accurate? I might be able to get my younger brother to take the test too but I do not want to convince him to take a bad test lol. So is switching to 23andme more accurate? My dad refuses to do DNA ancestry tests because he doesnt trust them with his dna or something like that but i look just like him other than him being bald but I started taking Minoxidil so I dont hopefully go bald like him.
r/DNAAncestry • u/VBeaAdoptee • 2d ago
Do I look like my results?
r/DNAAncestry • u/Temporary_Solid6936 • 2d ago
These are my updated results. Basically, on my mother’s side, I have Italian ancestry, as well as ancestry from Spain, specifically Catalonia, and Sub-Saharan African origins. On my father’s side, I basically have Portuguese and Sub-Saharan African ancestry as well.
r/DNAAncestry • u/Good_Strategy3553 • 1d ago
r/DNAAncestry • u/audiowack • 1d ago
TRANSLATION:
87.3% Somali
9.3% Ethiopian and Eritrean
3.4% East African(Kenya, Tanzania, Uganda).
I’m not that surprised of that I have Ethiopian and Eritrean but Jewish gene is something I’m very surprised and I did dig deeper and my ancestors whom is Ethiopian/Eritrean Jewish used to live in Trinidad from 1900-1950s. I’m from Mogadishu but my family is pretty much from everywhere in Somalia including Somali region of Kenya & Ethiopia.
r/DNAAncestry • u/IsoldeInInk • 1d ago
I’m half German, west-central-southern German, including Burgenland Croatian ancestry. My other half is Swedish, partly from an area near a Sámi village. I also seem to have an elevated East Asian-related signal, although I wouldn’t assume that proximity alone explains it. There is Ashkenazi Jewish ancestry on my Swedish side too, not very recent, but close enough that my grandmother could, in theory, qualify for Israeli citizenship through it.
Across different tests and population-distance tools, I consistently come out closest to Germans, with a slight southern and eastern shift. My ancient ancestry models, however, seem more polarised. Comparing my results with an Austrian person’s, for example, we had roughly the same Steppe proportion, but I had less European Farmer, more Bronze Age Anatolian, and stronger East Asian- and West Asian-related signals. Our results were broadly similar; mine just seemed to combine more divergent components.
Two-way models often prefer a mostly Scandinavian combination with a smaller Levantine or Italian contribution. Models using ancient or historical samples seem particularly fond of an Iberian Crusader reference. Once, I included all the available population references, and the model still assigned less German ancestry than my family background would suggest.
I realise this is probably largely a mathematical question, and that these models aren’t literal family trees. I also notice that different reference sets seem to model “German” ancestry quite differently. Still, I suspect my father would plot fairly close to me. Why, then, does my Swedish half leave me closest to Germans, and not even specifically northern Germans? Why isn’t there a clearer shift towards Swedish populations, given that my other ancestries are relatively small? Could that shift be present even if German remains my closest population?
Separately, neither parent looks especially stereotypically German or Swedish to me. People sometimes compare my father to Al Pacino (I think that they think he looks like he could be in a movie, as I show him with a suit). My mother has some recognisably Swedish facial features, but dark brown hair and brown eyes. I’ve been told I look Slovenian somehow. Obviously, these are subjective impressions!
Growing up partly within German culture, alongside sometimes being mistaken for someone from the Balkans by Swedes, probably contributes to me identifying more strongly as ethnically German, although I’m Swedish too. I also seem to be perceived as more noticeably German than some Germans who blend in more easily here, and I get more German jokes compared to others (which also includes things like house wives jokes fwiw). So it feels a little strange that these genetic averages also place me closest to just one “side” of my background.
23andMe still identifies both sides as expected. I’m mainly trying to understand why the population distances and mixture models produce this particular pattern.
r/DNAAncestry • u/AmphibianGreat5396 • 2d ago