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[Duarte]

Using the Vahaduo Dodecad K12b calculator with customized source data imput

Using the Vahaduo Dodecad K12b original spreadsheet calculator with the source data imput set to conform to my supposed modern true ancestry. In mixed mode, of course, since I am a mixture of colonial Portuguese (75%) + modern Galicians / Spain (12.5%) + modern Andalusians / Spain (12.5%). Good results, IMO.

Algerian,0.80,0.00,34.73,0.00,21.42,1.40,0.50,6.01,16.02,0.00,11.61,7.51
Andalucia,7.19,0.00,5.09,0.00,52.55,18.08,0.00,0.60,3.20,0.10,12.89,0.30
Aragon,6.31,0.10,3.40,0.00,56.16,21.82,0.40,0.00,3.00,0.00,8.81,0.00
Argyll,13.10,0.00,0.00,0.00,41.20,45.20,0.00,0.00,0.00,0.00,0.50,0.00
Baleares,5.50,0.00,3.70,0.00,49.40,22.50,0.20,0.00,4.40,0.00,14.20,0.10
Bedouin,5.00,0.00,4.90,0.00,8.20,0.40,0.00,5.30,43.30,0.00,30.80,2.10
British,11.30,0.00,0.00,0.00,43.50,43.60,0.00,0.00,0.30,0.00,1.30,0.00
British_Isles,9.50,0.00,0.00,0.00,42.50,45.70,0.10,0.00,0.00,0.00,2.20,0.00
C_Italian,4.80,0.00,2.30,0.00,34.83,17.12,0.10,0.00,8.71,0.00,32.13,0.00
Canarias,5.00,0.30,11.80,0.60,46.70,17.60,0.10,2.80,3.70,0.00,11.20,0.20
Cantabria,5.70,0.10,3.10,0.00,54.80,23.50,0.30,0.30,3.00,0.00,8.90,0.30
Castilla_La_Mancha,6.80,0.40,3.50,0.00,54.30,21.10,0.00,0.60,4.50,0.00,8.80,0.00
Castilla_Y_Leon,5.40,0.00,6.10,0.00,51.20,22.30,0.40,0.60,4.00,0.00,10.00,0.00
Cataluna,7.30,0.00,2.40,0.00,52.10,25.20,0.30,0.00,3.50,0.00,9.20,0.00
CEU30,10.60,0.00,0.00,0.00,41.40,44.70,0.00,0.00,0.00,0.00,3.30,0.00
Cornwall,11.40,0.00,0.00,0.00,43.80,42.80,0.00,0.00,0.00,0.00,2.00,0.00
Cypriots,5.81,0.00,2.10,0.00,20.52,4.50,0.00,0.00,17.72,0.00,49.35,0.00
Dutch,9.90,0.00,0.00,0.00,39.10,45.60,0.00,0.00,0.60,0.00,4.80,0.00
Extremadura,6.91,0.00,6.01,0.00,48.25,22.12,0.30,1.00,4.30,0.00,10.71,0.40
French,7.91,0.00,0.20,0.00,44.44,36.54,0.00,0.00,2.50,0.00,8.41,0.00
French_Basque,9.80,0.00,0.00,0.00,73.10,17.10,0.00,0.00,0.00,0.00,0.00,0.00
French,8.08,0.00,0.60,0.00,43.81,36.83,0.10,0.00,2.69,0.00,7.88,0.00
Galicia,5.09,0.00,5.00,0.00,48.25,23.38,0.70,0.90,5.39,0.00,11.09,0.20
German,7.30,0.00,0.00,0.00,33.00,48.20,0.00,0.00,1.70,0.00,9.80,0.00
Irish,11.91,0.00,0.00,0.00,42.74,45.15,0.00,0.00,0.00,0.00,0.20,0.00
Jordanians,9.60,0.00,5.50,0.00,10.80,0.90,0.20,4.90,27.90,0.10,38.00,2.10
Kent,10.49,0.00,0.00,0.00,41.86,43.86,0.00,0.00,0.20,0.00,3.60,0.00
Lebanese,10.80,0.20,4.70,0.60,11.80,3.70,0.00,2.40,23.50,0.00,41.30,1.00
Moroccan,0.00,0.00,44.44,0.00,23.82,1.00,0.30,5.71,13.41,0.00,6.71,4.60
Moroccans,0.00,0.00,44.66,0.00,19.48,0.00,0.10,6.49,15.28,0.00,5.69,8.29
Morocco_Jews,5.41,0.00,9.51,0.00,27.33,4.30,0.50,1.10,17.02,0.00,34.03,0.80
Mozabite,0.00,0.00,98.50,0.00,1.00,0.00,0.00,0.00,0.00,0.00,0.00,0.50
Murcia,5.50,0.00,6.00,0.00,50.60,19.60,0.00,0.20,5.90,0.60,11.20,0.40
N_Italian,5.69,0.00,0.90,0.00,41.16,23.68,0.20,0.00,5.59,0.00,22.78,0.00
North_Italian,4.50,0.00,0.70,0.00,44.04,22.02,0.00,0.00,5.81,0.00,22.92,0.00
O_Italian,6.21,0.00,1.10,0.00,33.53,21.82,0.00,0.20,7.81,0.00,28.53,0.80
Orcadian,12.00,0.00,0.00,0.00,42.40,45.60,0.00,0.00,0.00,0.00,0.00,0.00
Orkney,11.80,0.00,0.00,0.00,41.80,46.40,0.00,0.00,0.00,0.00,0.00,0.00
Pais_Vasco,9.10,0.00,0.00,0.00,67.30,22.40,0.00,0.00,1.20,0.00,0.00,0.00
Palestinian,6.81,0.00,5.41,0.10,10.91,0.30,0.60,5.21,30.43,0.00,38.24,2.00
Portuguese,6.01,0.00,7.71,0.00,47.55,22.32,0.90,0.10,5.01,0.00,9.71,0.70
S_Italian_Sicilian,5.50,0.10,2.50,0.00,29.90,11.80,0.50,0.70,12.50,0.00,36.50,0.00
Sicilian,4.50,0.00,4.10,0.00,30.03,11.91,0.10,0.70,11.91,0.00,36.54,0.20
Spaniards,6.50,0.00,3.00,0.00,53.00,23.00,0.00,0.00,3.60,0.00,10.80,0.10
Spanish,6.21,0.00,5.11,0.00,52.55,22.72,0.20,0.00,4.00,0.00,8.81,0.40
Swedish,7.70,0.60,0.00,0.00,32.90,56.80,0.00,0.00,0.80,0.00,1.20,0.00
Syrians,11.41,0.20,1.50,0.00,11.61,2.70,1.30,2.90,27.93,0.00,38.64,1.80
Tuscan,4.80,0.00,0.00,0.00,37.86,18.68,0.50,0.00,7.19,0.50,30.47,0.0
Valencia,6.81,0.00,3.00,0.00,55.46,22.22,0.00,0.00,2.40,0.00,9.91,0.20

My mixed results:

 

[Palermo Trapani]

Duarte: Very good, what does the Dodecad look like using the Updated reference populations. Personally I have always found the Dodecad 7,9, and 12 and MDLP do a better job for me vs. Eurogenes K13 and K15. However, it is my opinion that it has nothing to do with the validity of the Models (Dodecad vs. MDLP vs. Eurogenes). I think it has more to do with the Eurogenes K13 and K15 original samples used to estimate those models. In fact, the Eurogenes K13 and K15 models perform much better for me personally with the "updated modern reference populations" vs the "original modern reference populations".

This for me is one reason I have not purchased my own G25 coordinates yet. Based on what I have seen here, I think it is a valid Model, as I have seen Jovialis, YGORCS and Regio_X, for example, post some really neat stuff with it. However, until I am convinced the samples in G25 are representative of all of Sicily and other Southern Italian Regions that cluster close to, I think I will refrain from getting my personal G25 coordinates.

 

[Duarte]

Duarte: Very good, what does the Dodecad look like using the Updated reference populations. Personally I have always found the Dodecad 7,9, and 12 and MDLP do a better job for me vs. Eurogenes K13 and K15. However, it is my opinion that it has nothing to do with the validity of the Models (Dodecad vs. MDLP vs. Eurogenes). I think it has more to do with the Eurogenes K13 and K15 original samples used to estimate those models. In fact, the Eurogenes K13 and K15 models perform much better for me personally with the "updated modern reference populations" vs the "original modern reference populations".

This for me is one reason I have not purchased my own G25 coordinates yet. Based on what I have seen here, I think it is a valid Model, as I have seen Jovialis, YGORCS and Regio_X, for example, post some really neat stuff with it. However, until I am convinced the samples in G25 are representative of all of Sicily and other Southern Italian Regions that cluster close to, I think I will refrain from getting my personal G25 coordinates.

Hi @PT

I am following Angela's advice. I agree with her. The best calculator available today for amateurs is the Dodecad K12b. Reliable data sources can be used (eupedia team - ancient populations) and original spreadsheet for modern populations (1000 genomes, Dienekes and HGDP) . It’s just the user customize the data source. Easy. Cheers.

 

[Palermo Trapani]

Hi @PT

I am following Angela's advice. I agree with her. The best calculator available today for amateurs is the Dodecad K12b. Reliable data sources can be used (eupedia team - ancient populations) and original spreadsheet for modern populations (1000 genomes, Dienekes and HGDP) . It’s just the user customize the data source. Easy. Cheers.

No, I agree, Dodecad 12B is my best, as I noted, and in general, all the Dodecad for me do better for me as well.

 

[bigsnake49]

No, I agree, Dodecad 12B is my best, as I noted, and in general, all the Dodecad for me do better for me as well.

I think Dodecad12b is good for Italians but not for me. I think Eurogenes K13 is better for me.

 

[Duarte]

I think Dodecad12b is good for Italians but not for me. I think Eurogenes K13 is better for me.

Eurogenes K13 works well for me also. It maybe because I am in the midle of way, between the south and north Europe, I don’t know. Stuvanè once said in an Eupedia thread that Dodecad tends to play in south and Eurogenes tends to play in the north. I agree. Individually, each must look for the best calculator to research its ethnics components accordind its known ancestry and already attested by more than one commercial DNA company and according with known family history. It is always good to have a road to start walking. Without reference it is difficult to choose a path to follow.

 

[Salento]

Dodecad K12b Ancient

Italy_Apulia vs Italy_Salento_Apulia (me)

 

[Salento]

Target Salento, added on Source the main dod K12b upd. Apulian sample:

...out of curiosity, ... the opposite:
Target: Apulian Sample,
added Salento (me) on Source

 

[Duarte]

Target Salento, added on Source the main dod K12b upd. Apulian sample:

...out of curiosity, ... the opposite:
Target: Apulian Sample,
added Salento (me) on Source

Plagiarizing Salento's post

"Target Duarte, added on Source the main dod K12b upd. Portuguese sample":

Distance to:	Duarte
4.86428823	Portuguese
6.29654667	GironaSantJuliadeRamis_I10892
6.83142738	GironaSantJuliadeRamis_I10895
7.15328596	EarlyMedievalAndalusia_I3585
7.40270896	I12516_SE_Iberia_c.10-16CE(PortugueseCordobaCaliphate)
7.51741312	I12514_SE_Iberia_c.10-16CE(PortugueseCordobaCaliphate)
7.79453013	R63_Medieval_Era_Villa_Magna
7.87062895	Roman-SoldierFN_2
7.96743999	EarlyMedievalIberiaGranada_I3981
7.98827891	GironaSantJuliadeRamis_I10852
8.29628230	MedievalTaifaofValencia_I12649
8.57093927	CrusaderKnightFrenchLebanonCrusaderSI40
8.65500433	I3982_SE_Iberia_c.3-4CE(RomanVillaGranadaSpain)
8.79383307	I7675_NE_Iberia_c.6-8CE_ES(CaroligianSettlementBarcelona)
8.85043502	GironaSantJuliadeRamis_I10853
8.99556557	R110_Late_Antiquity_Crypta_Balbi
9.14401444	I2215_Malak_Preslavets
9.16999455	R1289_Medieval_Era_Cancelleria
9.54338514	I7673_NE_Iberia_c.6-8CE_ES
9.68139453	R474_Iron_Age_Civitavecchia
9.70848598	CarthagoMaghrebiAndalusia_CarthagoAl-AndalusAlhamaDeGranada_I7457
9.77754570	I12515_SE_Iberia_c.10-16CE(SpaniardCordobaCaliphate)
9.77754570	SpaniardCordobaCaliphate_I12515
9.85898575	France_BA_NIED
10.09213060	GalloRomanCeltMixIberia_Roman-EraEmpuries_I10866

...out of curiosity, ... the opposite:
Target: Portuguese Sample,
added Duarte (me) on Source

Distance to:	Portuguese
3.26782802	GironaSantJuliadeRamis_I10895
4.27106544	I12514_SE_Iberia_c.10-16CE(PortugueseCordobaCaliphate)
4.57012035	GironaSantJuliadeRamis_I10892
4.80435219	EarlyMedievalAndalusia_I3585
4.86428823	Duarte
5.43911758	R63_Medieval_Era_Villa_Magna
5.65461758	GironaSantJuliadeRamis_I10853
6.21005636	I12516_SE_Iberia_c.10-16CE(PortugueseCordobaCaliphate)
6.63425203	GironaSantJuliadeRamis_I10852
6.70707835	Roman-SoldierFN_2
6.79270197	I7675_NE_Iberia_c.6-8CE_ES(CaroligianSettlementBarcelona)
7.11456956	I2215_Malak_Preslavets
7.18000696	CrusaderKnightFrenchLebanonCrusaderSI40
7.22614005	R110_Late_Antiquity_Crypta_Balbi
7.45810298	I7673_NE_Iberia_c.6-8CE_ES
7.68918071	I12515_SE_Iberia_c.10-16CE(SpaniardCordobaCaliphate)
7.68918071	SpaniardCordobaCaliphate_I12515
7.74692197	MedievalTaifaofValencia_I12649
7.89067171	R474_Iron_Age_Civitavecchia
7.89195793	R105_Late_Antiquity_Crypta_Balbi
7.93381371	I8343_NE_Iberia_Late_RomP
8.06125300	Collegno94
8.06804189	R109_Late_Antiquity_Crypta_Balbi
8.13520743	I3982_SE_Iberia_c.3-4CE(RomanVillaGranadaSpain)
8.16170325	EarlyMedievalIberiaGranada_I3981

 

[Salento]

@Duarte ... Interesting comparison between us, a main modern geographical sample, and the ancients

 

[gabbobler]

For some reason, I started dying laughing when hearing about some European lost in Zanzibar. He's 6.42929234 from me.

 

[IberIllyrian]

Hi!

Anyone can explain me what "ADD DIST COL" stands for?

Or at least what type of calculation does...

Thanks!

 

[torzio]

For some reason, I started dying laughing when hearing about some European lost in Zanzibar. He's 6.42929234 from me.

Zanzibar was a Portuguese trading post .............But, it was the centre of Arab slave traders that sent african slaves to the arabian peninsula and beyond to sale.

The Portuguese did run their slavery nearby Mafia Island ...from between 1500 to 1600.

Arabs of Oman took it from the Portuguese until 1890 when the Germans took control of the island

So there could be portuguese in that area

 

[Mhorstemeyer]

Mdlp k11

Distance to:	Macin
1.59204271	Unetice_EBA
3.75808462	Nordic_LN
4.54916476	British_AngloSaxon
4.65682295	Bell_Beaker_Czech
5.64202091	Nordic_MN_B
5.67373775	Nordic_IA
6.02457467	Halberstadt_LBA
6.09918027	Corded_Ware_Proto_Unetice_Poland
6.16560622	BenzigerodeHeimburg_LN
6.41223830	Nordic_LBA
6.98151846	Alberstedt_LN
7.19118905	Bell_Beaker_Germany
7.21198308	Nordic_BA
7.73476567	British_IronAge
7.86340893	Corded_Ware_Estonia
8.61407569	British_Celtic
8.84008484	Nordic_BattleAxe
11.32465894	Irish_BA
11.83676476	Unetice_MBA
12.55085256	Poltavka_MBA_outlier
13.51202427	Sintashta_MBA
13.56069688	Bell_Beaker
14.01696115	Nordic_BA
16.87909062	Srubnaya_LBA
17.93227816	Corded_Ware_Germany

 

[Mhorstemeyer]

K15

Distance to:	Macin
6.81389023	Sunghir6
14.81285253	EarlyCzechSlav_RISE569
15.33020548	Srubnaya_I0232
15.87000315	EarlyBA_PL_N17
16.91796383	MesolithicNeolithicSerbia_I4871
18.04417912	NeolithicUkraine_I1736
18.29519062	Ajvide58(Sweden)
18.45767320	HallstattCelt_DA112
18.76276366	Swiss_Corded_Ware_CHE_MX190
19.32811941	Andronovo_RISE505
20.27363559	Swiss_Corded_Ware_CHE_MX198
20.30993107	Motala_12(Sweden)
20.61313174	Andronovo_RISE500
20.80417026	Swiss_Corded_Ware_CHE_MX189
20.99670688	Swiss_Corded_Ware_CHE_MX191
21.32157827	Swiss_Corded_Ware_CHE_MX188_rel190
21.56570657	Swiss_CHE_FN_contaminated_MX298
21.82810574	BeakerBritain_I2443
22.09587744	Swiss_FRA_Lingolsheim_FN_steppe_SX32
22.21226238	Sintashta_RISE395
22.40854748	Swiss_Corded_Ware_CHE_MX195_rel192_197
22.41335762	Swiss_CHE_FN_steppe_MX304
22.72938407	Swiss_DEU_Singen_EIA_MX265
22.73274071	CheddarMan
22.91215180	BR2_Hungary

 

[Mhorstemeyer]

K15 updated Modern

Distance to:	Macin
3.97929642	Polish
4.03086839	Polish_Kielce
5.60289211	Belorussian
5.67354387	Estonian_Polish
5.69496269	Polish_Masuria
5.94129615	Estonian
6.49609883	South_Polish
6.69431102	Ukrainian_Kiev_Avg
6.84276991	Russian_Smolensk
7.07617835	Ukraine_East
7.24127061	Southwest_Russian
7.26731725	Sorb_Lusatia
7.98451000	Ukrainian_Lviv
8.29220116	Lithuanian
8.48199859	Ukrainian_Belgorod
9.79550223	RU_Pinega
10.24285374	Latvian
10.64541216	Kargopol_Russian
10.68000188	Slovak
11.70953458	East_Finnish
12.17042727	Finnish
12.46839204	Czech
13.34574089	Southwest_Finnish
13.81866491	Croatian
13.86170624	North_Croat

 

[Amarelo]

I really miss this Vahaduo..