r/DNAAncestry • u/FairRice1327 • 3h ago
23&Me results as a black American
I wonder how truly accurate these tests are. Seems like updates come out often.
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/FairRice1327 • 3h ago
I wonder how truly accurate these tests are. Seems like updates come out often.
r/DNAAncestry • u/FrankishCrusader • 8h ago
Anybody that can help me decode all of these different european ethnicities? Mainly that from my father’s side.
r/DNAAncestry • u/Significant_Teacher8 • 1d ago
I used to have 4% north western Germany, 5% north African, 3% Mexican, 20% Nigerian, 2% sephradic Jews, and etc.
I was able to trace down my Dutch ancestry, my African American parent's maternal side of the family were all African Americans from NJ which makes sense due to NJ's dutch influence/colonization. On that side of my family tree there are surnames like van voort, coykendell, schanck, etc.(even though slavery most likely gave them those surnames). (My DNA matches from that side also has little Dutch and German ancestry and southeastern English ancestry)
My mexican side comes from my African American side as well, my great grandfather was half Mexican half black. And I was also able to trace up all of his Mexican ancestors (who were from Tamaulipas/ new Mexico, Mexico) and Spanish ancestors. So, little of the Iberian DNA also comes from my African American side.
My mom is from El Cibao Dominican Republic, my great grandaunt and her/our side strongly have Portuguese DNA(and Spanish), and from other sides there's some north African and sephradic Jewish blood, and there's another side that has some English blood (my English ancestry in this case doesn't come from her).
r/DNAAncestry • u/uncommon_wombat • 16h ago
(I can't model my own DNA this way easily because I am too admixed -- half Ashkenazi and half Northwestern European -- to provide an example, my mom is not, so it works better this way. 100% Ashkenazi result on both 23&Me and Ancestry.)
I thought this was a good illustration of what a huge difference test chips can vary between kits and how much it can alter how your results turn out. Same person, one 23&me file and one Ancestry file. Same samples. One has nearly 12% excess Canaanite-like on top of the Erfurt group, one has 5%. Just thought it would be helpful to see this laid out this way. Medieval European Jews are generally understood to be a good proxy for modern Ashkenazim.
I set the individual Erfurt samples against the group sample with the same Sidon sample to compare.
r/DNAAncestry • u/jay2grimy • 1d ago
Don’t think I posted here, I’m still researching the Carribean connections. I also have southern Italian roots through my paternal grandma. My maternal grandmother Had roots in North Carolina from what I know. However I’m not sure of what my maternal grandpas side is.
r/DNAAncestry • u/Elegant_Exam5885 • 22h ago
Here is my genetic heatmap and ancestry estimate from Kinplot (I've never heard of them before), but it looks good: https://kinplot.dev.fly
r/DNAAncestry • u/heatmapper25 • 21h ago
r/DNAAncestry • u/Roli17 • 21h ago
r/DNAAncestry • u/UsuallyMoot • 1d ago
Maternal haplogroup T2g but not sure what that means!
r/DNAAncestry • u/Fine_Economics4949 • 1d ago
r/DNAAncestry • u/ItHappensSo • 1d ago
r/DNAAncestry • u/Beneficial_Ship7090 • 1d ago
What kit (available in Canada ) is the most accurate. I see that recently some have changed to be less accurate. In my case, I am French-Canadian, I know the majority of my ancestors come from France and a bit from Ireland that we know of. My wife is curious to see if I have any other ancestry. Like I wouldn’t be surprised if at some point there were some First Nations people in my family tree considering how common intermarriage was in New France.
I’d also be curious about my wife’s ancestry, both of her parent’s families are from two very different states in India, but we are curious to find out if there are any surprises in her family tree.
Also, how are these companies with data privacy? I’m a little uneasy about sharing my genetic information with a company.
r/DNAAncestry • u/TraditionalPlenty3 • 1d ago
r/DNAAncestry • u/uncommon_wombat • 1d ago
r/DNAAncestry • u/EatingthetreeofLife • 1d ago
What do y'all think?
r/DNAAncestry • u/throwawayaccount8414 • 2d ago
1st slide is updated, 2nd is prior update.
Large improvement for my family.
r/DNAAncestry • u/Number0nehater • 2d 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/RiseJC26 • 2d ago