Really? Is that what you see?Quote:
Originally Posted by Johnston
This gives me some interesting informations about you. Your overall characteristic position and mental abilities. ;)
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Really? Is that what you see?Quote:
Originally Posted by Johnston
This gives me some interesting informations about you. Your overall characteristic position and mental abilities. ;)
Why thank you for your insults.:coffee: If you wish to look at yourself through a petri dish, and make divinations as if it were entrails of some sacrificial animal, then why should I bother?Quote:
Originally Posted by Frederick
No problem.Quote:
Originally Posted by Johnston
LEts make some more training.
This is a glas.
http://www.barartikel.ch/images/Boro...s%20490201.jpg
This is...
"johnston": It totaly does not resemble the other one, its totaly contradicting!"
OK, John...but its still a glas.
http://www.schorm.at/images/kat/whisky_glas_mehrweg.jpg
JOhn: Now, dont come me with that! Its totaly and absolutely something totaly different! there are riffles and all this!
Well John, but still its a glas.
http://www.ikea.com/de/de/images/pro...E137949_S4.jpg
I don't quite see where the results are conflicting.Quote:
Originally Posted by Johnston
Every different test comes up with different results, because the parameters are different, meaning different categories exist. What is the right classification outline? Too many to choose from...:coffee:Quote:
Originally Posted by Humanophage
Your genome exists objectively (raw data), and it can be described in many ways (tools), using a variety of coordinates. The diversity of classification arises from the fact that the world can be divided across many lines, but it doesn't change the biological reality.Quote:
Originally Posted by Johnston
For example, Europe can be divided into Southern and Northern, and Western and Eastern. One tool uses N-S, another W-E. You find on one tool that you have 80% N elements, and on another that you have 80% W elements. Considering them, you conclude that you are mostly North-Western. Yet another tool divides Europe into Atlantic, Uralic, Balkan, Iberian. You score 70% on Atlantic - which says a similar thing to the N-S and W-E tools, but in different words. Some tools zoom in further to look at smaller regions, some provide very complex coordinates.
Using many different tools and measuring your genome on different factors, you can conclude as to its nature. Some tools are not precise, but a good way to see the merit of a tool is too look at how reasonably it describes the general relation between various nations. Dodecad and Eurogenes are both quite reasonable in this aspect.
Playing around with the oracle program...
It's quite interesting that the most MENA chromossomes here correspond to Middle Eastern and African segments in Prof.McD's chromossome painting.
http://i116.photobucket.com/albums/o...painting-1.png
note: I choose the French Basques and the Mozabite for their isolation.
Chr 1
closest pop.
"Portuguese_D" "14.2074"
Admixture:
"79.7% French_Basque + 20.3% Saudis" "12.1738"
Chr 2
closest pop.
"French_Basque" "7.3552"
Admixture:
"94.5% French_Basque + 5.5% Thai" "4.7864"
Chr 3
closest pop.
"Portuguese_D" "5.5317"
Admixture:
"89.3% French_Basque + 10.7% Mozabite_H" "6.4663"
Chr 4
closest pop.
"French" "15.0621"
Admixture:
"79.7% French_Basque + 20.3% Saudis" "8.156"
Chr 5
closest pop.
"Spaniards" "6.851"
Admixture:
"93.7% French_Basque + 6.3% Mozabite_H" "4.6403"
Chr 6
closest pop.
"Portuguese_D" "8.9795"
Admixture:
"68.7% French_Basque + 31.3% Palestinian" "8.9145"
Chr 7
closest pop.
"Tuscan_H" "10.5433"
Admixture:
"66.9% French_Basque + 33.1% Palestinian" "3.6317"
Chr 8
closest pop.
"Portuguese_D" "13.3701"
Admixture:
"84.1% French_Basque + 15.9% Saudis" "4.7202"
Chr 9
closest pop.
"Spaniards" "6.6472"
Admixture:
"92.4% French_Basque + 7.6% Mozabite_H" "4.5216"
Chr 10
closest pop.
"Portuguese_D" "6.1778"
Admixture:
"90.7% French_Basque + 9.3% Mozabite_H" "6.7866"
Chr 11
closest pop.
"N_Italian_D" "13.4641"
Admixture:
"63.2% French_Basque + 36.8% Turkish_D" "11.3022"
Chr 12
closest pop.
"Portuguese_D" "4.7087"
Admixture:
"86.9% French_Basque + 13.1% Mozabite_H" "6.9508"
Chr 13
closest pop.
"Portuguese_D" "10.6544"
Admixture:
"74.8% French_Basque + 25.2% Yemenese" "7.4308"
Chr 14
closest pop.
"Portuguese_D" "15.8912"
Admixture:
"15.2% Mozabite + 84.8% TSI" "11.8635"
Chr 15
closest pop.
"North_Italian" "8.2135"
Admixture:
"57.1% French_Basque + 42.9% S_Italian_D" "6.3083"
Chr 16
closest pop.
"Sardinian" "18.0121"
Admixture:
"15.1% Mozabite + 84.9% Tuscan" "20.1251"
Chr 17
closest pop.
"Portuguese_D" "11.1998"
Admixture:
"18.5% Belorussian + 81.5% French_Basque" "5.4225"
Chr 18
closest pop.
"French_Basque" "9.1593"
Admixture:
"91.9% French_Basque + 8.1% Mozabite_H" "4.4645"
Chr 19
closest pop.
"O_Italian_D" "12.8235"
Admixture:
"17.2% Chuvashs_16 + 82.8% Tuscan" "8.3058"
Chr 20
closest pop.
"Sardinian" "6.7713"
Admixture:
"75% French_Basque + 25% Samaritians" "12.2127"
Chr 21
closest pop.
"French" "13.9238"
Admixture:
"50% French_Basque + 50% Irish_D" "9.8556"
Chr 22
closest pop.
"Portuguese_D" "17.3147"
Admixture:
"75.7% French_Basque + 24.3% Saudis" "10.4584"
Genome-wide
DodecadOracle(c(1.24, 41.69, 41.89, 0.61, 3.27, 0.01, 0, 0.63, 1.81, 3.34, 5.50, 0),mixedmode=T)
[1,] "17.4% Egyptans + 82.6% French_Basque" "5.2935"
[2,] "83.4% French_Basque + 16.6% Yemenese" "5.9582"
[3,] "82.3% French_Basque + 17.7% Palestinian" "6.0211"
[4,] "83% French_Basque + 17% Jordanians_19" "6.1969"
[5,] "82.8% French_Basque + 17.2% Lebanese" "6.3786"
[6,] "77.8% French_Basque + 22.2% Sephardic_Jews" "6.4303"
[7,] "15.6% Bedouin + 84.4% French_Basque" "6.4875"
[8,] "84% French_Basque + 16% Syrians" "6.8094"
[9,] "83.4% French_Basque + 16.6% Samaritians" "6.8172"
[10,] "88.8% French_Basque + 11.2% Mozabite_H" "7.0901"
Top population by chromosome, too damn Irish :D
Chrom 15 I don't have any Uk cousins yet. Chrom 19 I share a large amount with a Shetlander.Quote:
- "Norwegian_D" "13.5248"
- "Cornwall_1KG" "5.0466"
- "Irish_D" "9.3998"
- "Dutch_D" "7.6135"
- "Irish_D" "14.1981"
- "Irish_D" "10.2298"
- "Irish_D" "7.7156"
- "Irish_D" "9.528"
- "Irish_D" "7.4474"
- "Irish_D" "13.965"
- "Irish_D" "10.8825"
- "Norwegian_D" "14.5978"
- "Irish_D" "15.1635"
- "Irish_D" "4.3421"
- "French" "5.5427"
- "Norwegian_D" "17.6212"
- "Norwegian_D" "9.739"
- "Irish_D" "13.9852"
- "German_D" "10.6425"
- "Irish_D" "5.4372"
- "Argyll_1KG" "6.7412"
- "Irish_D" "11.3448"
Here are mine:
Mixed_Slav_D = 5Code:1 FIN 9.667
2 Mixed_Slav_D 11.6598
3 Russian_D 11.4167
4 Hungarians 15.1674
5 FIN 14.6391
6 Mixed_Slav_D 13.0183
7 Polish_D 5.3431
8 Russian_D 6.5072
9 Hungarians 9.6005
10 Polish_D 12.7041
11 FIN 9.2743
12 Finnish_D 10.4971
13 Finnish_D 11.8036
14 Hungarians 11.1875
15 German_D 17.2096
16 Slovenian 7.1437
17 Hungarians 11.6839
18 Mixed_Slav_D 8.6327
19 Mixed_Slav_D 8.2442
20 Finnish_D 10.6054
21 Mixed_Slav_D 18.1396
22 Russian_D 10.219
Hungarian = 4
FIN = 3
Finnish_D = 3
Russian_D = 3
Polish_D = 2
Slovenian = 1
German_D = 1
With greater elaboration, since "Mixed Slavs" are a vague group, and FIN aren't strictly Finns.
Mixed_Slav = 11Code:1 [1,] FIN 9.667
[2,] German_D 15.2072
[3,] Swedish_D 17.9123
2 [1,] Mixed_Slav_D 11.6598
[2,] Russian_D 12.3579
[3,] Polish_D 14.3817
3 [1,] Russian_D 11.4167
[2,] Polish_D 12.1632
[3,] Russian 12.2554
4 [1,] Hungarians 15.1674
[2,] Slovenian 15.3872
[3,] German_D 20.8246
5 [1,] FIN 14.6391
[2,] Finnish_D 18.5119
[3,] Slovenian 19.647
6 [1,] Mixed_Slav_D 13.0183
[2,] Hungarians 14.1755
[3,] Polish_D 14.3841
7 [1,] Polish_D 5.3431
[2,] Mixed_Slav_D 6.896
[3,] Russian_D 12.79
8 [1,] Russian_D 6.5072
[2,] Mixed_Slav_D 8.2488
[3,] Russian 9.4432
9 [1,] Hungarians 9.6005
[2,] Polish_D 12.0513
[3,] Mixed_Slav_D 12.4813
10 [1,] Polish_D 12.7041
[2,] Mixed_Slav_D 14.2994
[3,] Hungarians 15.3044
11 [1,] FIN 9.2743
[2,] Finnish_D 15.7954
[3,] German_D 17.6308
12 [1,] Finnish_D 10.4971
[2,] FIN 13.3701
[3,] Polish_D 17.3516
13 [1,] Finnish_D 11.8036
[2,] Polish_D 15.7074
[3,] Mixed_Slav_D 16.0502
14 [1,] Hungarians 11.1875
[2,] Polish_D 13.1533
[3,] Slovenian 14.7009
15 [1,] German_D 17.2096
[2,] Swedish_D 17.5679
[3,] N._European 17.7019
16 [1,] Slovenian 7.1437
[2,] Hungarians 10.1812
[3,] German_D 12.4577
17 [1,] Hungarians 11.6839
[2,] Slovenian 13.8442
[3,] Balkans_D 15.031
18 [1,] Mixed_Slav_D 8.6327
[2,] Russian_D 8.6937
[3,] Polish_D 11.1193
19 [1,] Mixed_Slav_D 8.2442
[2,] Polish_D 9.2166
[3,] Russian_D 13.4264
20 [1,] Finnish_D 10.6054
[2,] FIN 16.6364
[3,] Russian 21.6142
21 [1,] Mixed_Slav_D 18.1396
[2,] Russian_D 19.6402
[3,] Belorussian 19.7919
22 [1,] Russian_D 10.219
[2,] Mixed_Slav_D 11.2899
[3,] Russian 11.7717
Polish_D = 11
Russian_D = 8
Hungarians = 7
FIN = 5
German_D = 5
Slovenian = 5
Finnish_D = 5
Russian = 4
Swedish_D = 2
Belorussian = 1
Balkans_D = 1
N. European = 1
And by admixture:
(Stalskoe and Urkarah are Dagestani)Code:1. 34% Lithuanians + 66% Norwegian_D 5.6864
2. 15.1% Lezgins + 84.9% Russian_D 4.7664
3. 40.6% Belorussian + 59.4% Finnish_D 5.218
4. 47.3% French_D + 52.7% Russian 11.1491
5. 85.2% FIN + 14.8% Naidu 6.0881
6. 19.7% Makrani + 80.3% Polish_D 5.6076
7. 74% Belorussian + 26% French_D 2.9759
8. 7% Moroccans + 93% Russian_D 4.139
9. 25.5% French + 74.5% Mixed_Slav_D 1.8663
10. 45.7% French_D + 54.3% Lithuanian_D 4.9695
11. 75% Finnish_D + 25% French_Basque 6.2939
12. 59.6% Russian + 40.4% Swedish_D 4.4612
13. 12.5% Bedouin + 87.5% Finnish_D 6.3979
14. 57.7% Lithuanians + 42.3% Spaniards 3.3127
15. 20.1% Iranian_D + 79.9% Swedish_D 8.4196
16. 26% FIN + 74% Slovenian 2.4918
17. 68% Polish_D + 32% Stalskoe 4.161
18. 74.9% Lithuanians + 25.1% Urkarah 3.5821
19. 40.6% Lithuanian_D + 59.4% Slovenian 4.1395
20. 87.8% Finnish_D + 12.2% Lezgins 4.8784
21. 73.9% Belorussian + 26.1% Kurd 7.1304
22. 73.1% Lithuanians + 26.9% Urkarah 4.0947
5 is the most amusing one.
Are both your parents tested? I found that the Oracle results based on the average values of my mom and dad's v3 K=12 components were more in line with my known ancestry. The same can be applied to siblings. I am not sure if anyone has tested 4 grandparents, but this, in theory, would help refine the Oracle results even further for an individual. The benefits of having a larger sample size. The population averages are simply extensions of this. Helps to reduce the possible effects of ordinary individual variation. Assuming a relatively homogeneous population.Quote:
Originally Posted by Kadu
My top Oracle prediction, based on the average of my mom and dad's values:
[1,] "16.3% Georgians + 83.7% Iraq_Jews" "1.8684"
And, you can then try mapping the "mix," to see if you can make sense of it from a different perspective. The "X" marks the spot where other analyses have suggested my ancestral origins lie (McDonald, Population Finder, etc.). Tbilisi was used for the Georgian population, and Baghdad for the Iraqi Jewish population. As one or both of these locations may not accurately capture the average geographical origins of the two population samples in question, there is a degree of error which certainly must be allowed for. The arrows represent (at least in part) that potential error. And, given that the error appears to be one of latitude, rather than longitude, and the Georgian placement, north to south, does not leave much room for adjustment, I reckon the error lies with the placement of the Iraqi Jews. They are too far to the south. But, either way, it is certainly in the ballpark. If your top "mix" predictions are within a reasonable distance of one another, you can repeat this for as many mix combinations as there are, and then determine the average of these points.
Quote:
Originally Posted by Transhumanist
Unfortunately no. But tell me, aren't your results in line with your parents'? I would imagine yours half-way between theirs.
Quote:
Originally Posted by Transhumanist
That's quite interesting, but do all the results for your mixed mode land on the same area?
I forgot the mix, but it was not as accurate as the mix estimates based on the average values for my mom and dad. Attempted to separate them by groups, as measured by the distances in the last column:Quote:
Originally Posted by Kadu
[1,] "16.3% Georgians + 83.7% Iraq_Jews" "1.8684"
[2,] "52% Armenians_16 + 48% Syrians" "2.5546"
[3,] "60.7% Armenian_D + 39.3% Syrians" "2.8424"
[4,] "28.9% Armenians_16 + 71.1% Iraq_Jews" "2.9975"
[5,] "36.2% Armenian_D + 63.8% Iraq_Jews" "3.3127"
[6,] "14.5% Adygei + 85.5% Iraq_Jews" "3.5776"
[7,] "86.6% Armenian_D + 13.4% Saudis" "3.8972"
[8,] "70.9% Armenians_16 + 29.1% Bedouin" "3.9327"
[9,] "78% Armenian_D + 22% Bedouin" "3.9953"
[10,] "27.3% Iranian_D + 72.7% Iraq_Jews" "4.0417"
To give you an idea why this can occur, and how combining values can help better approximate actual ancestry, we need only look at the difference in the "West Asian" component for my father and paternal uncle:
Father = 47.6
Uncle = 52.6
Assyrian_D = 50.6
It may not always fit so neatly, but I think you see what I am getting at. Results running Oracle at 47.6% or 52.6% "West Asian" will not be as consistent with results generated for the Assyrian population. This will be reflected in your predicted "mix" populations and percentages. And, for some, it may lead to some curious results. Combining values of two parents, or four grandparents, most likely will better capture one's ancestry in Oracle. At least, in my case, I have found it to be so.
Oracle k=30 - (Diy admixture numbers)Quote:
Originally Posted by Pallantides
[,1] [,2]
[1,] "Swedish_D" "2.9154"
[2,] "Norwegian_D" "5.466"
[3,] "Irish_D" "14.691"
[4,] "British_Isles_D" "14.7678"
[5,] "Mixed_Germanic_D" "15.6137"
[6,] "British_D" "15.6601"
[7,] "Kent_1KG" "15.744"
[8,] "Dutch_D" "15.9369"
[9,] "Cornwall_1KG" "16.3935"
[10,] "Orkney_1KG" "16.4908"
[11,] "Argyll_1KG" "16.5425"
[12,] "Orcadian" "16.9762"
[13,] "N._European" "17.4092"
[14,] "German_D" "17.8313"
[15,] "CEU" "19.157"
[16,] "FIN" "20.988"
[17,] "French" "28.186"
[18,] "French_D" "28.576"
[19,] "Slovenian" "31.2585"
[20,] "Finnish_D" "32.4088"
[21,] "Hungarians" "35.3837"
[22,] "French_Basque" "38.6373"
[23,] "Portuguese_D" "44.1965"
[24,] "Spaniards" "44.8551"
[25,] "Polish_D" "44.8623"
[26,] "Mixed_Slav_D" "45.8817"
[27,] "Spanish_D" "46.2449"
[28,] "IBS" "46.6222"
[29,] "N_Italian_D" "48.1533"
[30,] "Tuscan_H" "48.2326"
mixed mode
[,1] [,2]
[1,] "18.6% FIN + 81.4% Norwegian_D" "2.6886"
[2,] "12.8% Finnish_D + 87.2% Norwegian_D" "2.6993"
[3,] "4% FIN + 96% Swedish_D" "2.7842"
[4,] "2.1% Finnish_D + 97.9% Swedish_D" "2.8308"
[5,] "0.6% Lithuanian_D + 99.4% Swedish_D" "2.8931"
[6,] "0.6% Lithuanians + 99.4% Swedish_D" "2.8956"
[7,] "0.3% Russian + 99.7% Swedish_D" "2.9117"
[8,] "0% Russian_D + 100% Swedish_D" "2.9153"
[9,] "0% Belorussian + 100% Swedish_D" "2.9154"
[10,] "Swedish_D" "2.9154"
My Results:
Original genomewide
10.27% East European
51.84% West European
26.91% Mediterranean
0.00% Neo African
8.75% West Asian
0.61% South Asian
0.01% Northeast Asian
0.23% Southeast Asian
0.00% East African
0.95% Southwest Asian
0.36% Northwest African
0.07% Paleo African
MDLP (Vadim Verenich’s mod) genomewide
11.04% Scandinavian
4.26% Volga Region
0.96% Altaic
34.10% Celto Germanic
15.54% Caucassian Anatolian
17.28% Balto Slavic
16.83% North Atlantic
BAT genomewide
60.09% Balkans
36.54% Anatolia
3.37% Turkic
44.83% Balkans
49.58% Anatolia
5.59% Turkic
Vadim's MDLP:
4.55% Scandinavian
5.30% Volga_Region
3.42% Altaic
14.49% Celto_Germanic
43.63% Caucassian_Anatolian
24.21% Balto_Slavic
4.40% North_Atlantic
Some MDLP results from ABF for comparison:
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mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} </style> <![endif]--> ENGLISH (Western England + some Irish)
Scandinavian: 11.52
Volga Region: 4.66
Altaic: 1.29
Celto-Germanic: 35.01
Caucassian-Anatolian: 11.39
Balto-Slavic: 18.73
North Atlantic: 17.40
FINN #1 (NORTHERN OSTROBOTHNIA)
Scandinavian: 49.11
Volga Region: 5.74
Altaic: 3.20
Celto-Germanic: 13.72
Caucassian-Anatolian: 4.97
Balto-Slavic: 17.45
North Atlantic: 5.81
FINN #2
Scandinavian: 58.67
Volga Region: 8.38
Altaic: 4.57
Celto-Germanic: 7.53
Caucassian-Anatolian: 2.72
Balto-Slavic: 14.77
North Atlantic: 3.35
FINN #3 (Tavastian)
Scandinavian: 42.83
Volga Region: 8.04
Altaic: 3.46
Celto-Germanic: 14.46
Caucassian-Anatolian: 2.72
Balto-Slavic: 20.85
North Atlantic: 7.64
FINN #4
Scandinavian: 53.85
Volga Region: 7.61
Altaic: 4.59
Celto-Germanic: 11.10
Caucassian-Anatolian: 1.64
Balto-Slavic: 14.74
North Atlantic: 6.48
FINN #5 (Karelian)
Scandinavian: 55.09
Volga Region: 8.55
Altaic: 6.54
Celto-Germanic: 8.27
Caucassian-Anatolian: 1.97
Balto-Slavic: 13.51
North Atlantic: 6.07
GERMAN/SORB
Scandinavian: 11.29
Volga Region: 5.03
Altaic: 1.80
Celto-Germanic: 23.80
Caucassian-Anatolian: 12.07
Balto-Slavic: 34.81
North Atlantic: 11.20
GERMAN/DANISH/SWEDISH (Skane)/SWISS/ISLES
Scandinavian: 15.16
Volga Region: 4.05
Altaic: 0.25
Celto-Germanic: 33.06
Caucassian-Anatolian: 12.89
Balto-Slavic: 19.58
North Atlantic: 15.01
GREEK
Scandinavian: 0.10
Volga Region: 4.85
Altaic: 4.78
Celto-Germanic: 25.88
Caucassian-Anatolian: 42.07
Balto-Slavic: 13.71
North Atlantic: 6.84
NORWEGIAN #1 (Western Norway)
Scandinavian: 14.54
Volga Region: 6.05
Altaic: 1.63
Celto-Germanic: 34.27
Caucassian-Anatolian: 9.61
Balto-Slavic: 17.88
North Atlantic: 16.02
NORWEGIAN #2 (Western Norway)
Scandinavian: 15.96
Volga Region: 4.37
Altaic: 2.52
Celto-Germanic: 32.99
Caucassian-Anatolian: 9.10
Balto-Slavic: 19.27
North Atlantic: 15.79
NORWEGIAN #3 (Eastern Norway)
Scandinavian: 17.78
Volga Region: 4.78
Altaic: 2.68
Celto-Germanic: 31.40
Caucassian-Anatolian: 7.51
Balto-Slavic: 19.72
North Atlantic: 16.13
NORWEGIAN #4 (Eastern Norway)
Scandinavian: 15.04
Volga Region: 5.34
Altaic: 1.75
Celto-Germanic: 31.78
Caucassian-Anatolian: 10.17
Balto-Slavic: 20.29
North Atlantic: 15.62
NORWEGIAN #5 (Eastern Norway)
Scandinavian: 16.90
Volga Region: 6.58
Altaic: 2.75
Celto-Germanic: 32.75
Caucassian-Anatolian: 6.54
Balto-Slavic: 20.49
North Atlantic: 13.99
POLE #1 (Masovia, Pomerania, Volhynia)
Scandinavian: 7.13
Volga Region: 2.24
Altaic: 0.99
Celto-Germanic: 16.50
Caucassian-Anatolian: 9.76
Balto-Slavic: 54.15
North Atlantic: 9.24
POLE #2 (Southern Poland)
Scandinavian: 4.65
Volga Region: 3.42
Altaic: 0.00
Celto-Germanic: 16.70
Caucassian-Anatolian: 12.31
Balto-Slavic: 59.32
North Atlantic: 3.60
PORTUGUESE (Southern Portugal)
Scandinavian: 3.98
Volga Region: 2.16
Altaic: 3.09
Celto-Germanic: 34.62
Caucassian-Anatolian: 24.79
Balto-Slavic: 16.23
North Atlantic: 15.13
RUSSIAN (Russian Tver, Russian Moscow, Kuban Cossack, Don Cossack)
Scandinavian: 17.80
Volga Region: 9.69
Altaic: 1.5
Celto-Germanic: 17.68
Caucassian-Anatolian: 8.68
Balto-Slavic: 37.68
North Atlantic: 6.30
SICULO-NORMAN
Scandinavian: 7.61
Volga Region: 3.69
Altaic: 1.5
Celto-Germanic: 32.83
Caucassian-Anatolian: 23.21
Balto-Slavic: 16.77
North Atlantic: 14.39
SWEDE (Skane, Smaland, Blekinge)
Scandinavian: 15.00
Volga Region: 5.07
Altaic: 1.03
Celto-Germanic: 29.79
Caucassian-Anatolian: 10.98
Balto-Slavic: 23.16
North Atlantic: 14.97
SWEDE/FINN/GERMAN/ESTONIAN
Scandinavian: 25.20
Volga Region: 5.31
Altaic: 2.83
Celto-Germanic: 23.63
Caucassian-Anatolian: 9.73
Balto-Slavic: 21.09
North Atlantic: 12.21
DIY Dodecad 2.0
14.18% East_European
67.46% West_European
12.94% Mediterranean
0.00% Neo_African
4.20% West_Asian
0.01% South_Asian
1.19% Northeast_Asian
0.01% Southeast_Asian
0.00% East_African
0.01% Southwest_Asian
0.00% Northwest_African
0.00% Palaeo_African
BAT(Balkans-Anatolia-Turkic)
62.08% Balkans
32.10% Anatolia
5.82% Turkic
MDLP
16.90% Scandinavian
6.58% Volga_Region
2.75% Altaic
32.75% Celto_Germanic
6.53% Caucassian_Anatolian
20.49% Balto_Slavic
13.99% North_Atlantic
My results seem most similar to this fellers.Quote:
Originally Posted by Quasimodem
Not true. The tests many of them ARE conflicting. Take 23andme, dienekes, and polako's. On polako's tests the british islanders and scandinavians show almost no non northern european admixture. In dienekes test they show something like 20-30% non northern european admixture. That is pretty substantial if you ask me. 23andme labels almost every euro as 100% or 99%. Again SUBSTANIAL.Quote:
Originally Posted by Humanophage
That's because the allele frequencies for these same-name components are different, so they're in effect different guessed ancestral populations.Quote:
Originally Posted by Steal
Thats just different interpretation.Quote:
Originally Posted by Steal
The "non-European admixture" that Dienekes or Eurogenes show is like 7.000 or 10.000 years old. Neolithic farmers DNA and all that.
Specially "West-Asian" could be interpreted as "Early farmer" aDNA.
Others claim, "West-Asian" admixture would be the "Indoeuropean" one (Caucasus/Anatolian Indoeuropean origin hyphothesis)
One needs to alter ones views on these "Non-European" components.
All Europeans somehow came from outside of Europe and its totaly normal, that they carry DNA material that exists outside of Europe or even has its distributional center outside of Europe.
Since they are covered deeply in this thread I repost the maps of the dienekes components I made:
Red = no other component is higher that this one.
thats why Hungary is red in "West European" but Spain is not.
Its because in Hungary, "Westeuropean" is the largest component while in Spain its "Mediteranean".
http://www.theapricity.com/forum/att...9&d=1309955735
If you ask: "DOH! Why are those Orkneys so Eastern Europen?"
Answere: Because they have Norwegian VIKING admixture ;)
http://www.theapricity.com/forum/att...0&d=1309955735
http://www.theapricity.com/forum/att...1&d=1309955735
The component some claim as "Farmers DNA" or even "Indoeuropean DNA" if it comes to Europe....
http://www.theapricity.com/forum/att...2&d=1309955735
http://www.theapricity.com/forum/att...3&d=1309955735
http://www.theapricity.com/forum/att...4&d=1309955735
And I add some, wich I seem to not have uploaded last time?
http://www.theapricity.com/forum/att...1&d=1315344931
http://www.theapricity.com/forum/att...1&d=1315345072
http://www.theapricity.com/forum/att...1&d=1315345239
That is the problem with labelling allele frequencies geographically, the person doing the test chooses the labels.Quote:
Originally Posted by Steal
Per chromosome:
[1,] "Portuguese_D" "5.1126"
[2,] "IBS" "6.24"
[3,] "Spaniards" "6.605"
[4,] "Spanish_D" "7.0589"
[5,] "N_Italian_D" "11.5477"
[6,] "North_Italian" "12.0684"
[7,] "French_Basque" "14.9499"
[8,] "Sardinian" "15.8149"
[9,] "French_D" "16.2501"
[10,] "French" "16.7247"
[11,] "Tuscan_H" "17.4539"
[12,] "TSI" "17.7588"
[13,] "Tuscan_X" "18.385"
[14,] "Tuscan" "18.9673"
[15,] "O_Italian_D" "19.4393"
[16,] "C_Italian_D" "25.2012"
[17,] "CEU" "25.8471"
[18,] "Orcadian" "27.7598"
[19,] "N._European" "27.7935"
[20,] "Orkney_1KG" "28.1339"
[21,] "Argyll_1KG" "28.5554"
[22,] "Ashkenazy_Jews" "30.0512"
[23,] "Dutch_D" "30.3059"
[24,] "Slovenian" "30.4614"
[25,] "German_D" "30.5844"
[26,] "Mixed_Germanic_D" "30.5883"
[27,] "Ashkenazi_D" "30.6159"
[28,] "S_Italian_Sicilian_D" "31.515"
[29,] "Kent_1KG" "31.8929"
[30,] "Sicilian_D" "32.5025"
Nice variation.
Curious with the DIY Dodecad what's the gauge to indicate relatively recent admix with the percentages? Still trying to interpret my results in the context of my genealogy so any help would be appreciated.
In that case, I would run the results in "Oracle". Thats another "R" based software by Dienekes with 2 major functions:Quote:
Originally Posted by Barreldriver
- what populations average results are the most similiar to ones own.
- if mathematically "mixing" 2 nations average results, what combination comes closest to ones results.
Plus I would additional look in 23andMe what people you share long segments with (other than the "expected" own group... (that theory that long segments of shared DNA are a sign of beeing "recently" (last couple centuries maybe) related and not just having the same DNA by random re-combining. This would help to pick, what suggested combinations of "Oracle" may be likely, if there is no "Family Lore".
I for example, have 3 out of 4 Grandparents from "Prussia" (beeing from there, mixing with Poles is likely) and one Great Great Grandparent from Lithuania.
In fact 23andMe finds quiet a lot Poles in the 5-7cM region, suggesting "recent" (last couple century) shared anchestors. Of course, nobody knows WHAT anchestors I may share with them. Maybe they had German ones. Who knows. But you need something to start with. ;)
"Oracle" suggests that my results are close to what is expected from 95% average German mixed by 5% average Pole.
Or same with Lithuanian.
I'd assume there's a link to oracle at Dienekes blog? Will give it a wing some time.Quote:
Originally Posted by Frederick
I tried it for you. (All one needs is the DIY Dodecad results)
By Oracle, these are the closest populations:
(so more small the number behind it, so more close the results)
Barreldriver
[1,] "CEU" "2.9717" <--------- white American of predominantly North-West European anchestry
[2,] "N._European" "5.0694" (a group with "Northern Europeans" not closer defined what people exactly)
[3,] "Orcadian" "5.2101"
[4,] "Argyll_1KG" "5.391" (South-West-Scottland)
[5,] "Orkney_1KG" "5.6548"
[6,] "German_D" "8.5726"
[7,] "French" "9.6303"
[8,] "French_D" "10.0577"
[9,] "Mixed_Germanic_D" "10.6703" (people of mixed background, but all known anchestors of Germanic speaking parts of Europe)
[10,] "Dutch_D" "11.7807"
[11,] "Kent_1KG" "14.129" (South-East England)
[12,] "British_Isles_D" "16.2479"
[13,] "British_D" "16.2505"
[14,] "Cornwall_1KG" "16.8781" (South-West England)
[15,] "Slovenian" "17.4146"
[16,] "Irish_D" "19.6356"
[17,] "Swedish_D" "20.1689"
[18,] "Norwegian_D" "20.9766"
[19,] "Hungarians" "21.9821"
[20,] "French_Basque" "22.4489"
[21,] "Portuguese_D" "24.3769"
[22,] "Spaniards" "25.2005"
[23,] "N_Italian_D" "26.3565"
[24,] "Spanish_D" "26.5371"
[25,] "IBS" "26.6198"
[26,] "Tuscan_H" "27.2357"
[27,] "TSI" "27.2763"
[28,] "Tuscan_X" "27.6064"
[29,] "FIN" "29.219"
[30,] "North_Italian" "30.4805"
Just for comparation the results of "Average CEU". to help you, what to think about the results above:
[1,] "CEU" "0"
[2,] "Orcadian" "2.4839"
[3,] "Orkney_1KG" "2.924"
[4,] "Argyll_1KG" "2.9614"
[5,] "N._European" "3.3347"
[6,] "German_D" "6.9361"
[7,] "Mixed_Germanic_D" "9.3862"
[8,] "Dutch_D" "10.3315"
[9,] "French" "11.1736"
[10,] "French_D" "11.4066"
Thats the top 10 suggestion for 2 nation mixedmode:
As always: so more small the number at the end of the line is, so more close are the results)
And note how the tool is named: ORACLE. ;)
It needs you to interpret this and pick what you guess is the most likely. :D
Another note: It only expects TWO nation mixes. Thats another weak point.
[1,] "90.4% Orcadian + 9.6% S_Italian_D" "0.4005"
[2,] "89.7% Orkney_1KG + 10.3% S_Italian_D" "0.4049"
[3,] "12.5% C_Italian_D + 87.5% Orkney_1KG" "0.4141"
[4,] "90.1% Orcadian + 9.9% Sicilian_D" "0.4439"
[5,] "89.7% Orcadian + 10.3% S_Italian_Sicilian_D" "0.4723"
[6,] "89.3% Orkney_1KG + 10.7% Sicilian_D" "0.4816"
[7,] "11.7% C_Italian_D + 88.3% Orcadian" "0.4921"
[8,] "14.5% O_Italian_D + 85.5% Orkney_1KG" "0.5639"
[9,] "13.5% O_Italian_D + 86.5% Orcadian" "0.5794"
[10,] "84.2% Orcadian + 15.8% Tuscan_X" "0.5924"
Here are some "aberations" from the average CEU:
[14,] "90.4% CEU + 9.6% TSI" "0.714"
[18,] "92% CEU + 8% O_Italian_D" "0.795"
[20,] "90.6% CEU + 9.4% Tuscan_X" "0.8094"
[27,] "94.4% CEU + 5.6% Sicilian_D" "0.9574"
[31,] "95.7% CEU + 4.3% Cypriots" "1.028"
[36,] "94.9% CEU + 5.1% Sephardic_Jews" "1.0779"
[39,] "94.3% CEU + 5.7% Greek_D" "1.1763"
[48,] "95.5% CEU + 4.5% Turkish_D" "1.3667"
some British Isles aberations:
[50,] "11.7% C_Italian_D + 88.3% Argyll_1KG" "1.3712"
[60,] "30% Balkans_D + 70% Kent_1KG" "1.5231"
[70,] "33.9% Balkans_D + 66.1% Cornwall_1KG" "1.6006"
[75,] "67.6% British_Isles_D + 32.4% Romanians_14" "1.6621"
Maybe its just this:
[134,] "46.9% French + 53.1% German_D" "2.3392"
[135,] "83.6% CEU + 16.4% French" "2.3399"
[145,] "5% Balkans_D + 95% CEU" "2.4219"
If anyone is feeling like being a very helpful chap - could they please run all these tests with my DOD scores? I'm DOD726.
I can't run any of the tests on my mac because it's not compatible. Although, I ran DiY 2.0, and got similar scores to everyone else.
It will be much appreciated, and met with hugs and kisses. :p
Quote:
Originally Posted by Imperivm
Well if you're talking about the Dodecad oracle, which is what Frederick used to compute Barrel's admixture combinations, then you can run it on your mac.
Just follow the instructions here
Cool, figured I'd be closest to the Utahn's and such than to Old Worlder's as many Utahn's have Southron roots aways back (via Arkansas).Quote:
Originally Posted by Frederick
Of these it's hard to guess since they're all so similar, if it's any help about 60% of my ancestors came from the British Isle's, the remaining 40% or so is split between German, Portuguese and French along with some completely unknown ancestries. These figures change all depending on the status of my pedigree research, future changes shan't change much in the lines of the British Isles figure is pretty much a constant.Quote:
And note how the tool is named: ORACLE. ;)
It needs you to interpret this and pick what you guess is the most likely. :D
Another note: It only expects TWO nation mixes. Thats another weak point.
[1,] "90.4% Orcadian + 9.6% S_Italian_D" "0.4005"
[2,] "89.7% Orkney_1KG + 10.3% S_Italian_D" "0.4049"
[3,] "12.5% C_Italian_D + 87.5% Orkney_1KG" "0.4141"
[4,] "90.1% Orcadian + 9.9% Sicilian_D" "0.4439"
[5,] "89.7% Orcadian + 10.3% S_Italian_Sicilian_D" "0.4723"
[6,] "89.3% Orkney_1KG + 10.7% Sicilian_D" "0.4816"
[7,] "11.7% C_Italian_D + 88.3% Orcadian" "0.4921"
[8,] "14.5% O_Italian_D + 85.5% Orkney_1KG" "0.5639"
[9,] "13.5% O_Italian_D + 86.5% Orcadian" "0.5794"
[10,] "84.2% Orcadian + 15.8% Tuscan_X" "0.5924"
I'd assume that these are not results for me but results for the CEU and Brits respectively and how they differ from their norm or is this how I differ from those groups?Quote:
Here are some "aberations" from the average CEU:
[14,] "90.4% CEU + 9.6% TSI" "0.714"
[18,] "92% CEU + 8% O_Italian_D" "0.795"
[20,] "90.6% CEU + 9.4% Tuscan_X" "0.8094"
[27,] "94.4% CEU + 5.6% Sicilian_D" "0.9574"
[31,] "95.7% CEU + 4.3% Cypriots" "1.028"
[36,] "94.9% CEU + 5.1% Sephardic_Jews" "1.0779"
[39,] "94.3% CEU + 5.7% Greek_D" "1.1763"
[48,] "95.5% CEU + 4.5% Turkish_D" "1.3667"
some British Isles aberations:
[50,] "11.7% C_Italian_D + 88.3% Argyll_1KG" "1.3712"
[60,] "30% Balkans_D + 70% Kent_1KG" "1.5231"
[70,] "33.9% Balkans_D + 66.1% Cornwall_1KG" "1.6006"
[75,] "67.6% British_Isles_D + 32.4% Romanians_14" "1.6621"
Maybe its just this:
[134,] "46.9% French + 53.1% German_D" "2.3392"
[135,] "83.6% CEU + 16.4% French" "2.3399"
[145,] "5% Balkans_D + 95% CEU" "2.4219"
No, its for you.Quote:
I'd assume that these are not results for me but results for the CEU and Brits respectively and how they differ from their norm or is this how I differ from those groups?
The rough message is, that you are more Med/southern Euro than the average Uthan (CEU)
Thats why it wants to mix the average Utahn with a little bit French, Italian, Greek, Jewish or Turk to match your values.
Same for the Brit aberation. It wants to mix Brits with either Italians, Balkans (highly Med) or Romanians to re-create your results.
And the last section I posted shows, beeing half German half French could cause results like yours too.
Well, you could also look at the numbers that show how close.
And they too say, more med than average.
Like this:
Difference you and Scott: 5.391
Difference average CEU(Utahn) and Scott: 2.9614
You differ more from a Scott than the average Utahn.
Also for Germans.
You: 8.5726
Utahn: 6.9361
Or Dutch:
you: 11.7807
average Utahn: 10.3315
But different for French!
You: 9.6303
Average utahn: 11.1736
Means, you are closer to French than the average Utahn (CEU)
And after you said, you have Spanish and Portuguese ancestors, I would say, they seem to explain it.
Let me look for a British Isles, Iberian try.
Hmm. Needs some deep digging and the results are quiet off then (9.5 as difference....) But Here are some:
[1911,] "68.2% Kent_1KG + 31.8% Portuguese_D" "9.5034"
Hmm... The Scott one is closer. In the 2.x range :
[120,] "15.6% IBS + 84.4% Argyll_1KG" "2.2321"
IBS = a lot of Iberian profiles lumped together)
[130,] "16.7% Portuguese_D + 83.3% Argyll_1KG" "2.3126"
[140,] "15.4% Spanish_D + 84.6% Argyll_1KG" "2.405"
*searches reverse for "IBS"....*
[102,] "92.7% CEU + 7.3% IBS" "2.1126"
[141,] "14.4% IBS + 85.6% N._European" "2.4107"
[374,] "13.2% IBS + 86.8% Orcadian" "3.3174"
[699,] "78.9% German_D + 21.1% IBS" "4.9647"
Just in case, you want to see the Iberia-Scandinavia axis:
[1228,] "42.5% IBS + 57.5% Swedish_D" "6.4018"
---------------------------------------------------------------------
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Ok, I check the results by hand now....
I see.
You have increased (compared to the most of the British Isles) Eastern European, Mediterranean and West Asian. Thats why it looks so much for Southeast Europeans (Italians, Balkans, Greece etc), to explain all 3 with a single admixture event.
And it also explains why it prefers Scotts or Orkneys on the other end (elevated Eastern European level)
Curious what could be causing the increased East European and west Asian? The increased Med is obvious from distant Iberian and French ancestry I'd assume.Quote:
Originally Posted by Frederick
One thing I'm looking for is a possible connection to chestnut Ridge like folks after realizing that the Chestnut Ridge folks were from Barbour County, Barbour County is adjacent to Taylor and Preston Counties as is Monongalia County which borders with Wetzel County. My great grandfather and his parents+siblings moved between Wetzel and Monongalia Counties so they're in a similar locality as the Chestnut Ridge folks.
That part of my family tree has some holes in it that need filled.
Do you know from where in Germany your ancestors are from? I have more German ancestry than the average American (PA Dutch) and my E Euro is in the lower 20% range, my W Asian in 8%. If they are from the more Eastern Parts of Germany that could account for your higher E Euro.Quote:
Originally Posted by Barreldriver
Most are from the SW, but there's some that are suspect of having Eastern German and Austrian roots based on some surnames can't really confirm as these were usually later immigrants that just listed their birthplace as "Germany" on record.Quote:
Originally Posted by Commerce & Industry
East European could be increased by Scotts, Scandinavians, Germans. For example.Quote:
Originally Posted by Barreldriver
Or by actual Eastern Europeans.
You are about as "Eastern European" as a Scott or Norwegian (Wich is actually 4 times as Eastern European as other British Isles inhabitants are. But not as Eastern European as a Swede or German for example.
the West Asian is so little higher than British or German levels, that I wouldnt even think about it. (average is 7% and you have 8.x%)... means: BLA ;) But Oracle still trys to come as close to your result as possible and that means, it looks for a source that actually provides West Asian too.
Looking at the map, Dutch even have 8% on average. But Dutch arent picked as source for that, because they dont provide high level of Eastern European or Med. Thats again the tricky thing. A simple tool like Oracle wants to explain ALL the aberation with ONE admixture event. But thats usualy far from reality, specially for Americans I think.
Cool, so it is indeed my Scots and German connections, I do have a genetic "cousin" on 23andMe that is Swedish so that may be hinting something too, also some Russian Relative Finder matches (caught me by surprise).Quote:
Originally Posted by Frederick
If there is a true East European connection I would have to attribute that to coal miners as in the South of my home county coal mining is a big part of the economy as well as the parts of Kentucky near to my home county.
It's not working for me I'm afraid. I don't think it's compatible with the latest version of mac. I even installed the updates that should patch things properly.Quote:
Originally Posted by Kadu
If anyone feels like running it for me my scores are-
(3.4, 63.1, 26.5, 0, 6.9, 0, 0, 0, 0, 0, 0.1, 0) :embarrassed