Large-Scale Migration into Southern Britain During the Middle to Late Bronze Age

**~~Dick~~** · 12-24-2021, 07:28 AM

Originally Posted by CommonSense

This alleged Bronze Age sample from Croatia significantly differs from all the others in that set and plots with modern-day Serbs. Not only that, but the Y-DNA of that male is I-Y3120!

Is it alleged or a legitimate BA sample. The Ev13 Visigoth from Spain also plots with Serbs on K15. His father was probably a Thracian since the Goths settled in Moesia after fleeing the Huns when they crossed the Danube.

**Peterski** · 12-24-2021, 07:46 AM

How to explain Slavic drift among some of La Tene & Mezocsat samples, such as these?:

Distance to: HUN_IA_La_Tene_o3:I25524
0.02948879 Lithuanian_SZ
0.03104802 Lithuanian_VA
0.03181494 Russian_Pskov
0.03249216 Lithuanian_RA

Distance to: HUN_IA_La_Tene_o3:I25509
0.02897196 Sorb_Niederlausitz
0.02966193 Slovakian
0.03318174 Polish
0.03507321 Ukrainian_Rivne

Distance to: HUN_IA_La_Tene_o:I18226
0.02066294 Russian_Pskov
0.02355747 Russian_Tver
0.02398007 Russian_Kursk
0.02439635 Russian_Kaluga

Distance to: HUN_IA_La_Tene_o:I18183
0.02571778 Polish
0.02786730 Sorb_Niederlausitz
0.02871717 Ukrainian_Rivne
0.02984511 Ukrainian_Zhytomyr

Distance to: HUN_IA_La_Tene_o:I18182
0.03551951 Slovakian
0.04015479 Hungarian
0.04079776 Ukrainian_Zakarpattia
0.04162469 Croatian

Distance to: HUN_EIA_Prescythian_Mezocsat_o1:I18241
0.07797610 Lithuanian_VA
0.07938375 Sorb_Niederlausitz
0.08015265 Russian_Pskov
0.08042445 Ukrainian_Rivne

Distance to: HUN_EIA_o3:I25525
0.03325160 Polish
0.03468322 Czech
0.03473361 German_East
0.03889267 Sorb_Niederlausitz

**~~Dick~~** · 12-24-2021, 08:01 AM

Originally Posted by Tomenable

How to explain Slavic drift among some of La Tene & Mezocsat samples, such as these?:

they're from Hungary?

**Peterski** · 12-24-2021, 08:15 AM

Originally Posted by Dick

they're from Hungary?

Yes, Iron Age Hungary. HUN is Hungary.

**Ajeje Brazorf** · 12-24-2021, 11:13 AM

Originally Posted by J.S.

Don't want to bother you mate, but can you explain how to process averaging G25 coordinates, please?

I use R, you must already have it installed to do averages. Download this file folder (https://we.tl/t-RWNUWnPAEs), open R, change directories and select the folder you downloaded. Now put in these commands and you're done:

Code:

source('nMonte3.R')
averages <- aggr_pops('Samples.txt')
write.csv(averages,"Samples_average.txt")

In the "Samples" .txt file always remember to leave a blank line at the end and make sure that all the coordinates you want to mix are preceded by the same name before the colon. Let me know if you've succeeded.

**Token** · 12-24-2021, 11:17 AM

Originally Posted by Tomenable

How to explain Slavic drift among some of La Tene & Mezocsat samples, such as these?:

Distance to: HUN_IA_La_Tene_o3:I25524
0.02948879 Lithuanian_SZ
0.03104802 Lithuanian_VA
0.03181494 Russian_Pskov
0.03249216 Lithuanian_RA

Distance to: HUN_IA_La_Tene_o3:I25509
0.02897196 Sorb_Niederlausitz
0.02966193 Slovakian
0.03318174 Polish
0.03507321 Ukrainian_Rivne

Distance to: HUN_IA_La_Tene_o:I18226
0.02066294 Russian_Pskov
0.02355747 Russian_Tver
0.02398007 Russian_Kursk
0.02439635 Russian_Kaluga

Distance to: HUN_IA_La_Tene_o:I18183
0.02571778 Polish
0.02786730 Sorb_Niederlausitz
0.02871717 Ukrainian_Rivne
0.02984511 Ukrainian_Zhytomyr

Distance to: HUN_IA_La_Tene_o:I18182
0.03551951 Slovakian
0.04015479 Hungarian
0.04079776 Ukrainian_Zakarpattia
0.04162469 Croatian

Distance to: HUN_EIA_Prescythian_Mezocsat_o1:I18241
0.07797610 Lithuanian_VA
0.07938375 Sorb_Niederlausitz
0.08015265 Russian_Pskov
0.08042445 Ukrainian_Rivne

Distance to: HUN_EIA_o3:I25525
0.03325160 Polish
0.03468322 Czech
0.03473361 German_East
0.03889267 Sorb_Niederlausitz

I think we should wait for radiocarbon dating before judgment, I doubt very much that they are really from the Iron Age.

**~~Komintasavalta~~** · 12-24-2021, 11:38 AM

Originally Posted by J.S.

Don't want to bother you mate, but can you explain how to process averaging G25 coordinates, please?

Download R from here: https://cran.r-project.org. Then open the R console application and run this:

Code:

t=read.csv("https://drive.google.com/uc?export=download&id=1VFry7ZfzTnLJ3-G-PJGL6jlWU4TIppjB",header=F,row.names=1)
a=data.frame(aggregate(t,list(sub(":.*","",rownames(t))),mean),row.names=1)
write.table(round(a,6),"averages.csv",quote=F,col.names=F,sep=",")

Or to combine samples from different populations into a single average, you can also run the code below here: https://rdrr.io/snippets/.

Code:

t=read.csv(header=F,row.names=1,text="RUS_Veretye_Meso:PES001,0.124067,0.04773,0.145191,0.204783,0.008617,0.054384,-0.022796,-0.017307,-0.005727,-0.071254,0.014777,-0.011839,0.038652,-0.048168,0.02348,0.025325,-0.01004,0.003547,-0.00264,0.022011,-0.002371,0.01694,0.005053,-0.033017,-0.008263
RUS_Vologda_Veretye_Meso:KAR001,0.121791,0.033512,0.115022,0.167638,-0.000615,0.06024,-0.021151,-0.010384,-0.024747,-0.07581,0.018512,-0.019033,0.02438,-0.048443,0.015744,0.011668,-0.001565,0.00114,-0.023757,0.023511,0.002496,0.01793,0.01861,-0.021087,-0.009101")
paste(round(colMeans(t),6),collapse=",")

(Or install R through your package manager and run `R` to start the R REPL.)

**CommonSense** · 12-24-2021, 12:12 PM

Originally Posted by Token

I think we should wait for radiocarbon dating before judgment, I doubt very much that they are really from the Iron Age.

The first of those samples he listed even has Slavic Y-DNA:

https://www.yfull.com/tree/R-PF6155/

**J. Ketch** · 12-24-2021, 09:38 PM

Code:

Distance to:	Creoda_scaled
0.01968710	England_MIA_LIA:I20623
0.02018121	VK2020_NOR_Mid_MA:VK117
0.02031459	England_IA:I0160
0.02046513	Scotland_LBA:I2860
0.02185548	VK2020_ISL_Hofstadir_VA:VK123
0.02214888	England_EastYorkshire_LIA:I5502
0.02219334	VK2020_GreenlandE_VA:VK183
0.02239764	VK2020_Scotland_Orkney_VA:VK203
0.02256107	VK2020_Faroes_EM:VK234
0.02273809	England_EIA:I11149
0.02329942	VK2020_NOR_North_VA:VK528
0.02330274	England_LBA:I13713
0.02350372	England_MIA:I19874
0.02358320	England_MIA:I19654
0.02359881	Scotland_LIA:I27385
0.02360302	HUN_MA_Szolad:SZ4
0.02401730	VK2020_England_Dorset_VA:VK257
0.02439687	England_EastYorkshire_MIA_LIA:I14104
0.02459870	England_MIA_LIA:I11992
0.02476256	England_MIA_LIA:I11993

Target: Creoda_scaled
Distance: 0.7963% / 0.00796324 | R2P
64.4 England_MIA
35.6 VK2020_SWE_Gotland_VA

Target: Creoda_scaled
Distance: 0.6504% / 0.00650417 | R3P
36.0 England_MIA
32.6 England_LBA
31.4 SWE_Viking_Age_Sigtuna

Target: Creoda_scaled
Distance: 0.5405% / 0.00540526 | R4P
36.0 England_MIA
27.0 England_LBA
20.4 VK2020_SWE_Skara_VA
16.6 SWE_Viking_Age_Sigtuna

**~~Dick~~** · 12-25-2021, 03:27 AM

Originally Posted by Creoda

Code:

Distance to:	Creoda_scaled
0.01968710	England_MIA_LIA:I20623
0.02018121	VK2020_NOR_Mid_MA:VK117
0.02031459	England_IA:I0160
0.02046513	Scotland_LBA:I2860
0.02185548	VK2020_ISL_Hofstadir_VA:VK123
0.02214888	England_EastYorkshire_LIA:I5502
0.02219334	VK2020_GreenlandE_VA:VK183
0.02239764	VK2020_Scotland_Orkney_VA:VK203
0.02256107	VK2020_Faroes_EM:VK234
0.02273809	England_EIA:I11149
0.02329942	VK2020_NOR_North_VA:VK528
0.02330274	England_LBA:I13713
0.02350372	England_MIA:I19874
0.02358320	England_MIA:I19654
0.02359881	Scotland_LIA:I27385
0.02360302	HUN_MA_Szolad:SZ4
0.02401730	VK2020_England_Dorset_VA:VK257
0.02439687	England_EastYorkshire_MIA_LIA:I14104
0.02459870	England_MIA_LIA:I11992
0.02476256	England_MIA_LIA:I11993

Target: Creoda_scaled
Distance: 0.7963% / 0.00796324 | R2P
64.4 England_MIA
35.6 VK2020_SWE_Gotland_VA

Target: Creoda_scaled
Distance: 0.6504% / 0.00650417 | R3P
36.0 England_MIA
32.6 England_LBA
31.4 SWE_Viking_Age_Sigtuna

Target: Creoda_scaled
Distance: 0.5405% / 0.00540526 | R4P
36.0 England_MIA
27.0 England_LBA
20.4 VK2020_SWE_Skara_VA
16.6 SWE_Viking_Age_Sigtuna

This one's better