Antonio M. et al 2019 - Iron Age Samples Raw Data

Jovialis

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Thank you for hard work.
 
Here are the Iron Age samples from Ancient Rome: A genetic crossroads of Europe and the Mediterranean

I used WGS extract to "convert" the files from BAM to usable raw data, in WGS combined, as well as AncestryDNA format.

http://www.mediafire.com/file/hzqdryr37t7s0cm/Antonio_M._et_al_2019_-_Iron_Age_Samples.zip/file


These files do not work on Gedmatch, they get status Percent HTZ out of range

But they do work on Admixture Studio.

Enjoy!

the R1 files do work on GedMatch :)
I haven’t tested the others.
 
I read, this HTZ function was to prevent uploading artificial genomes to Gedmatch. But they killed Ancient samples too...
 
Nice! good to know, R850, and R437 were getting the HTZ out of range error.

R1 works......just tried it ...see below

[h=2]Jtest Oracle results:[/h]Jtest Oracle population reference data revised 06 Nov 2012.

Kit AG4512653

Admix Results (sorted):

#PopulationPercent
1WEST_MED19.01
2ATLANTIC18.22
3EAST_MED16.57
4NORTH-CENTRAL_EURO14.74
5SOUTH_BALTIC7.61
6ASHKENAZI6.96
7WEST_ASIAN6.83
8EAST_EURO6.82
9MIDDLE_EASTERN2.49
10SIBERIAN0.65
11WEST_AFRICAN0.1

Single Population Sharing:

#Population (source)Distance
1North_Italian4.85
2Tuscan7.02
3PT10.47
4ES11.93
5RO12.34
6FR13.05
7Serbian13.4
8AT15.51
9South_Italian_&_Sicilian15.79
10HU17.48
11GR17.72
12West_&_Central_German19.23
13NL20.17
14Cornish20.55
15English21.29
16Orcadian22.93
17IE23.07
18DK23.65
19Scottish24.13
20NO25.24

Mixed Mode Population Sharing:

# Primary Population (source)Secondary Population (source)Distance
1 58% FR + 42% GR @ 3.35
2 85.3% Tuscan + 14.7% Erzya @ 3.41
3 84.2% Tuscan + 15.8% East_Russian @ 3.44
4 85.4% Tuscan + 14.6% North_Russian @ 3.47
5 86.2% Tuscan + 13.8% Udmurt @ 3.65
6 83.7% Tuscan + 16.3% West_Russian @ 3.74
7 71.8% Tuscan + 28.2% AT @ 3.78
8 84.1% Tuscan + 15.9% South_Finnish @ 3.83
9 85.2% Tuscan + 14.8% East_Finnish @ 3.85
10 74.4% Tuscan + 25.6% HU @ 3.85
11 92.8% North_Italian + 7.2% Udmurt @ 3.88
12 93% North_Italian + 7% Komi @ 3.91
13 93.2% North_Italian + 6.8% Lezgin @ 3.96
14 82.1% North_Italian + 17.9% Serbian @ 3.97
15 84% Tuscan + 16% Ukrainian-Russian @ 3.97
16 81.7% North_Italian + 18.3% RO @ 4.09
17 93.2% North_Italian + 6.8% IR @ 4.09
18 86.2% Tuscan + 13.8% Northwest_Russian @ 4.11
19 83.5% Tuscan + 16.5% PL @ 4.11
20 55.2% FR + 44.8% South_Italian_&_Sicilian @ 4.11
 

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