EBA Mokrin and modern populations
![]()
Forum | Europe Travel Guide | Ecology | Facts & Trivia | Genetics | History | Linguistics |
Austria | France | Germany | Ireland | Italy | Portugal | Spain | Switzerland |
![]() |
EBA Mokrin and modern populations
![]()
Updating my Deep Dive map
And the update of my kit (grey point) compared to Sant Julià de Ramis I10897 (White point)
A fruitful week in terms of obtaining and new conversions.
Hi Wanderer.
Yes. At least these samples that matches with me. The study suggests a great degree of mobility and exogamy in the EBA Mokrin people.
“Abstract
Twenty-four ancient genomes with an average sequencing coverage of 0.85±0.25 X were produced from the Mokrin necropolis, an Early Bronze Age (2,100-1,800 BC) Maros culture site in Serbia, to provide unambiguous identification of biological sex, population structure, and genetic kinship between individuals. Of the 24 investigated individuals, 15 were involved in kinship relationships of varying degrees, including 3 parent-offspring relationships. All observed parent-offspring pairs were mother and son. In addition to the absence of biological daughters, we observed a number of young women and girls with no biological relatives in our sample. These observations, together with the high mitochondrial diversity in our sample, are consistent with the practice of female exogamy in the population served by Mokrin. However, moderate-to-high Y-chromosomal diversity suggests a degree of male mobility greater than that expected under strict patrilocality. Individual status differences at Mokrin, as indicated by grave goods, support the inference that females could inherit status, but could not transmit status to all their sons. The case of a son whose grave good richness outstrips that of his biological mother suggests that sons had the possibility to acquire status during their lifetimes. The Mokrin sample resembles a genetically unstructured population, suggesting that the community’s social hierarchies were not accompanied by strict marriage barriers.”
https://www.biorxiv.org/content/10.1....101337v1.full
The individual Mokrin genomes are best modelled as a mixture of Central European hunter-gatherers, Aegean Neolithic farmers and influences from the Eastern European steppes (mean qpAdm tail probability individually 0.46, pooled 0.08).We observed no significant variation in the eastern European steppe-like component between individuals. Pooling individuals, admixture proportions are estimated to be around 8% (± 1.2% SE) western hunter gatherers, 55% (± 2.5% SE) Aegean Neolithic farmers, and 37% (± 2.3% SE) Eastern European steppe-like population.
![]()
Fathers mtdna ... T2b17
Grandfather mtdna ... T1a1e
Sons mtdna ... K1a4
Mum paternal line ... R1b-S8172
Grandmum paternal side ... I1-Y33791
Wife paternal line ... R1a-Z282
there is, in the cultural entity of the Early Maros Culture, a kind of regional exclave of the Danubian EBA in south-eastern Hungary/ south-western Romania/northern Serbia, far outside its core area north of the Alps. The arrangement of the cemeteries, the burials and burial customs, and the material culture found at sites such as Sándorfalva-Eperjes, co. Csongrád (Hungary; Trogmayer 2001) and Kiskundorozsma-Hosszúhát-halom near Szeged, co. Csongrád (Hungary; Bende/ Lörinczy 2002), complemented by the earliest graves in the cemetery of Mokrin (Wagner 2009),
Last edited by Salento; 07-12-20 at 18:37. Reason: added R437 dod K7, with me on Source
... same as above, but with Dod W9 :)
(ask Jovialis where the coordinates are, ... I ran it a while ago)
![]()
... my top dodecad K13
relatives:
chrome 19 cugini:
https://www.eupedia.com/forum/thread...l=1#post615993
Salento: Regarding your post #3211, I will take a look at what you suggested. Thanks
Salento: R437_Latin_Prenestini as Target. I included my K7 Dodecad Coordinates along with all the other K7 Dodecad ancient coordinates. Just as you suggested, I am pretty close to R437. I think statistically there isn't much of a difference between Me, You and our Iron Age amico R437. We are all pretty darn close!
Distance to: C6_Iron_Age_Mediterranean:R437_(Latin_Prenestini_T ribe)_Palestrina_Selicata 0.83982141 PalermoTrapani 1.44450684 C6_Imperial_Mediterranean:R131_Via_Paisiello_Necro polis 1.57241852 C6_Medieval_Mediterranean:R58_Villa_Magna 1.75128524 C6_Medieval_Mediterranean:R56_Villa_Magna 1.83040979 C5_Late_Antiquity_Eastern_Mediterranean:R122_S_Erc olano_Necropolis_Ostia 1.93958759 C6_Medieval_Mediterranean:R59_Villa_Magna 1.95276727 C5_Late_Antiquity_Eastern_Mediterranean:R32_Mausol e_di_Augusto 2.20451809 C6_Medieval_Mediterranean:R52_Villa_Magna 2.49657766 C6_Late_Antiquity_Mediterranean:R35_Celio 2.50810686 C6_Medieval_Mediterranean:R1290_Villa_Magna 3.01693553 C6_Imperial_Mediterranean:R47_Centocelle_Necropoli s 3.02354097 C6_Imperial_Mediterranean:R113_Via_Paisiello_Necro polis 3.46463562 C6_Medieval_Mediterranean:R57_Villa_Magna 3.55280171 Foggia_MA:VK535 3.64666971 C6_Imperial_Mediterranean:R49_Centocelle_Necropoli s 3.86522962 C6_Late_Antiquity_Mediterranean:R117_S_Ercolano_Ne cropolis_Ostia 3.87320281 C6_Medieval_Mediterranean:R54_Villa_Magna 3.91605669 C6_Medieval_Mediterranean:R65_Villa_Magna 4.13098051 C6_Medieval_Mediterranean:R973_Tivoli_Palazzo_Cian ti 4.17784634 C6_Imperial_Mediterranean:R835_Civitanova_Marche 4.23749926 C6_Late_Antiquity_Mediterranean:R107_Crypta_Balbi 4.33144318 Foggia_MA:VK537 4.48717060 Foggia_MA:VK534 4.67915591 C6_Late_Antiquity_Mediterranean:R121_S_Ercolano_Ne cropolis_Ostia 4.71136923 C6_Imperial_Mediterranean:R836_Civitanova_Marche
Salento: Yes I agree, I saw the K36 and the Yourdnaportal results you showed earlier. The Dodecad K7 results along with the Eurogenes K36 and yourdnaportal oracle using Eurogenes K13 all corroborate each other in that the results are consistent, R437 is a match with modern Italians from regions South of Lazio. The way I think of it is that if you put R437 as a Dependent variable in an OLS Regression, and include Puglia, Sicily, Campania, Basilicata, Calabria as explanatory variables on the right hand side, the coefficients would be statistically significantly associated with R437 or put the means of all the Southern Regions, R437 would not be statistically different from the Southern Regions. While Multivariate statistics are probably not the way to analyze DNA data, it sort of makes sense to me and how I think about analyzing data and running statistical models.
You, Jovialis (based on the results he has posted in the past) and I, are all close to R437.
Salento: My Dodecad World 9 coordinates included in Source data with the ancient Roman samples from Antonio et al 2019 (126 of 127) with R437 (127th) included in the Target. So again, getting consistent results with K7. Again as you stated, all the estimations from various calculators are providing the same results.
Distance to: R437_Iron_Age_Palestrina_Selicata 1.37368119 R58_Medieval_Era_Villa_Magna 1.53642442 PalermoTrapani 1.53974024 R1290_Medieval_Era_Villa_Magna 1.55602057 R131_Imperial_Era_Via_Paisiello_Necropolis 1.69378275 R52_Medieval_Era_Villa_Magna 1.91138693 R32_Late_Antiquity_Mausole_di_Augusto 2.00254838 R59_Medieval_Era_Villa_Magna 2.13791955 R122_Late_Antiquity_S_Ercolano_Necropolis_Ostia 2.38419798 R113_Imperial_Era_Via_Paisiello_Necropolis 2.54493615 R57_Medieval_Era_Villa_Magna 2.55685354 R35_Late_Antiquity_Celio 2.69807339 R47_Imperial_Era_Centocelle_Necropolis 2.74001825 R56_Medieval_Era_Villa_Magna 2.78134859 R835_Imperial_Era_Civitanova_Marche 2.87899288 R49_Imperial_Era_Centocelle_Necropolis 2.91496141 R973_Medieval_Era_Tivoli_Palazzo_Cianti 3.27459921 R117_Late_Antiquity_S_Ercolano_Necropolis_Ostia 3.40649380 R54_Medieval_Era_Villa_Magna 3.74518357 R121_Late_Antiquity_S_Ercolano_Necropolis_Ostia 3.79959208 R65_Medieval_Era_Villa_Magna 4.04586208 R107_Late_Antiquity_Crypta_Balbi 4.19740396 R969_Medieval_Era_Tivoli_Palazzo_Cianti 4.35279221 R836_Imperial_Era_Civitanova_Marche 4.51237188 R118_Late_Antiquity_S_Ercolano_Necropolis_Ostia 4.82091278 R60_Medieval_Era_Villa_Magna
@PalermoT
... In Vino Veritas ...
(Pliny the Elder)
Salute :)
My results in:
Latín tardío
Latin late
1. Visigoth Iberian Girona
550 AD - Genetic Distance: 8.765 - I12034
2. Roman Soldier Germany
300 AD - Genetic Distance: 9.032 - FN_2
3. Roman Soldier Freiham-Nord Germany
300 AD - Genetic Distance: 9.04 - FN_2
4. Gallo-Roman Lombard Grave
580 AD - Genetic Distance: 9.106 - CL94
18. Late Roman-Era Emporion
550 AD - Genetic Distance: 11.18 - I8343
19. Gallo-Roman Crypta Balbi
500 AD - Genetic Distance: 11.21 - R109
20. Roman-Illyrian Lombard Grave
580 AD - Genetic Distance: 11.31 - CL23
22. Late Roman Mix Crypta Balbi
500 AD - Genetic Distance: 11.46 - R105
24. Vasconic-Roman Mix Crypta Balbi
500 AD - Genetic Distance: 11.54 - R110
28. Gallo-Roman Mix Crypta Balbi
500 AD - Genetic Distance: 11.78 - R108
41. Imperial Rome Mausoleo Augusto
500 AD - Genetic Distance: 12.56 - R33
55. Frankish-Gaul / Lombardy Italy
580 AD - Genetic Distance: 13.4 - CL47b
57. Medieval Piedmont
580 AD - Genetic Distance: 13.45 - CL57
58. Celtiberian Alemannic Mix
520 AD - Genetic Distance: 13.46 - STR_535
73. Gallo-Roman
590 AD - Genetic Distance: 13.94 - SZ28
87. Early Medieval Germany Straubing-Bajuwarenstrasse
520 AD - Genetic Distance: 14.28 - STR310
110. Basque Post-Roman Era Barcelona
650 AD - Genetic Distance: 14.73 - I3777
164. Roman Villa Granada Spain
300 AD - Genetic Distance: 16.45 - I3982
167. Ostrogoth Mix
495 AD - Genetic Distance: 16.5 - AEH_1
187. Cisalpine Gaul
590 AD - Genetic Distance: 17.02 - SZ45
189. Roman Villa Tarragona
350 AD - Genetic Distance: 17.04 - I6490
192. Latin Roman Isola Sacra
200 AD - Genetic Distance: 17.12 - R37
195. Alemannic Bavaria
450 AD - Genetic Distance: 17.17 - BIM33
198. Hungary Avar Master Mako-Mikocsa
599 AD - Genetic Distance: 17.31 - MMper227
203. Frankish-Gaul / Lombardy Italy
580 AD - Genetic Distance: 17.38 - CL47
208. Medieval Tyrolian
590 AD - Genetic Distance: 17.45 - SZ18
216. Early Medieval Iberia Granada
500 AD - Genetic Distance: 17.58 - I3981
225. Early Medieval Alemannic Bavaria
420 AD - Genetic Distance: 17.76 - AED1135b
228. Frankish Lombard
580 AD - Genetic Distance: 17.81 - CL49
231. Roman/Illyrian Celio Military Hospital
500 AD - Genetic Distance: 17.88 - R36
235. North Central Lombard
580 AD - Genetic Distance: 17.94 - CL63
237. North Roman Warrior
590 AD - Genetic Distance: 18.18 - NS3c
244. Roman Outlier Lombard Grave
590 AD - Genetic Distance: 18.42 - SZ37
262. Roman Villa Granada Spain
300 AD - Genetic Distance: 18.86 - I4055
265. Post-Roman Era Barcelona
650 AD - Genetic Distance: 18.96 - I3776
266. Hungary Elite Avar Kiskoros-Vaghohid
690 AD - Genetic Distance: 18.96 - KVper3450_GE
267. Hungary Late Avar Szekkutas-Kapolnadulo
680 AD - Genetic Distance: 18.98 - SzKper239
270. Late-Roman Era Montefrio Granada
500 AD - Genetic Distance: 19.01 - I3577
276. Frankish-Gallic Lombard Grave
590 AD - Genetic Distance: 19.22 - SZ27
283. Late-Roman Era Montefrio Granada
500 AD - Genetic Distance: 19.47 - I3574
287. Celtic Briton Gladiator York
250 AD - Genetic Distance: 19.58 - 6DRIF-22
288. Visigoth Frankish Girona
550 AD - Genetic Distance: 19.59 - I12032
297. Thuringii Tribe
420 AD - Genetic Distance: 19.89 - AED_1108
298. Central Roman
630 AD - Genetic Distance: 19.91 - CL36
300. Swiss Germanic
580 AD - Genetic Distance: 19.97 - CL102
301. Germanic Mixed Tribe
505 AD - Genetic Distance: 19.97 - AED513
308. Late-Roman Era Montefrio Granada
500 AD - Genetic Distance: 20.25 - I3582
323. Medieval Tyrolian
580 AD - Genetic Distance: 20.72 - CL53
325. Visigoth Germanic Girona
550 AD - Genetic Distance: 20.74 - I12162
331. Central Roman
590 AD - Genetic Distance: 20.87 - SZ32
338. Carthago Outlier San Ercolano
500 AD - Genetic Distance: 21.0 - R121
357. Late Roman Iberia Granada
470 AD - Genetic Distance: 21.51 - I3576
360. Frankish / Hungary
590 AD - Genetic Distance: 21.6 - SZ23
366. Greuthungi / Ostrogoth
310 AD - Genetic Distance: 21.64 - MJ37
377. Celtic Briton Gladiator York
250 AD - Genetic Distance: 21.86 - 3DRIF-16
381. Late-Roman Era Montefrio Granada
500 AD - Genetic Distance: 21.96 - I3581
383. Central Roman Mausoleo Augusto
500 AD - Genetic Distance: 22.03 - R32
394. Central Roman
590 AD - Genetic Distance: 22.29 - SZ43
398. Germanic Mixed Tribe
505 AD - Genetic Distance: 22.35 - AED125b
399. Ostrogoth Frankish Mix
410 AD - Genetic Distance: 22.37 - STR_328
400. Byzantine Roman Warrior
605 AD - Genetic Distance: 22.4 - NS3b
402. Frankish / Hungary
590 AD - Genetic Distance: 22.46 - SZ38
414. Late-Roman Era Montefrio Granada
475 AD - Genetic Distance: 22.63 - I3756
416. Germanic Tribe Crypta Balbi
500 AD - Genetic Distance: 22.72 - R106
426. Roman Villa Granada Spain
350 AD - Genetic Distance: 22.91 - I3983
448. Saxon Hinxton
720 AD - Genetic Distance: 23.4 - HinxtonO1
459. Central Roman
590 AD - Genetic Distance: 23.62 - SZ36
460. Post-Roman Sierra de Alhama
550 AD - Genetic Distance: 23.63 - I3584
462. Carthago-Roman San Ercolano
500 AD - Genetic Distance: 23.67 - R120
464. Late Iron Age Tollemosegard Denmark
700 AD - Genetic Distance: 23.7 - VK65
467. Alemanni Celtic Warrior
605 AD - Genetic Distance: 23.73 - NS10
481. Celtic-Mix Visigoth Girona Spain
550 AD - Genetic Distance: 23.88 - I12164
482. Germanic Lombard Szolad
590 AD - Genetic Distance: 23.91 - SZ3
490. Roman Mix San Ercolano
500 AD - Genetic Distance: 24.02 - R118
491. Roman Outlier Lombard Grave
590 AD - Genetic Distance: 24.03 - SZ31
492. Western Scythian Ukraine
600 BC - Genetic Distance: 24.04 - MJ47
498. Nordic Lombard
590 AD - Genetic Distance: 24.14 - SZ14
When a model has already given all that it had or could give, there must be changes towards other stages that diverge in other directions in which to continue to evolve
The tactic is very good and no escape is possible backwards.
SZ1 got 17 Centuries younger, ... and a new name:
... this changes everything, ... so many posts and assumptions all based on a mistaken identity
![]()
This makes me wonder. I think they need to cross check their data base, because I think my samples list is wrong. Every other calculator puts me much closer to samples that MTA puts me way off from.
Jovialis: Do you know what is the calculator Mytrueancestry is using. Or do they have their own. I like you get closer distances on some samples that MTA has me further away from even though for example many of the same samples that show up in my top 100 in MTA show up in my top 100 using Dodecad various calculators, MDLP or even Eurogenes K13/K15.