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Thread: Dodecad Ancestry Project

  1. #341
    Never meant to be here Frederick's Avatar
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    I know Dienekes didnt recommented using Oracle on tiny DNA fragments instead of genomewide but I wanted to know what would be the result anyways.

    I flushed every single Chromosom through the Oracle thing and these are the top nation for each Chromosom:
    (only Nations and no doublettes)

    Chromosom 1: Orkney Island
    Chromosom 2: Slovenia
    Chromosom 3: Germany
    Chromosom 4: Sweden
    Chromosom 5: Germany
    Chromosom 6: Slovenia
    Chromosom 7: Germany
    Chromosom 8: Finland
    Chromosom 9: Germany
    Chromosom 10: Netherland
    Chromosom 11: Finland
    Chromosom 12: France
    Chromosom 13: Germany
    Chromosom 14:Finland
    Chromosom 15: Slovenia
    Chromosom 16: Finland
    Chromsom 17: France
    Chromosom 18: Germany
    Chromosom 19: Germany
    Chromosom 20: Germany
    Chromosom 21: Norway
    Chromosom 22: Italy

    8/22 Germany
    4/22 Finland (because of my Lithuanian Great Great Grandmom maybe)
    3/22 Slovenia
    2/22 France
    1/22 Orkney Island
    1/22 Norway
    1/22 Sweden
    1/22 Netherland
    1/22 Italy

    EDIT:
    Needed to Edit, my Great Grandmom into my Great Great GRandmom... lol
    Last edited by Frederick; 08-22-2011 at 09:17 PM.
    Bring back the stocks!

  2. #342
    Senior Member Humanophage's Avatar
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    Quote Originally Posted by Loki View Post
    Interesting, when I do it "bychr", my West European average is higher, and South European lower.
    I'd imagine that it is due to the different amounts of SNPs in your chromosomes. Chromosome 1 has 13376 SNPs, while chromosome 22 has but 2688. Consequently, Chromosome 1 influences the actual average to a much greater degree. Simply averaging by chromosome results will not take this into account, and hence will yield little.
    Single Population Sharing (Eurogenes)
    1 Estonian_Polish 4.36
    2 Russian_Smolensk 4.88
    3 Southwest_Russian 5.32
    4 Belorussian 5.78
    5 Lithuanian 5.92

  3. #343
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    Why does everyone get wog and chink scores on this, but on Eurogenes and previous Dienekes tests they get no non-Euro?

  4. #344
    Never meant to be here Frederick's Avatar
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    Quote Originally Posted by Imperivm View Post
    Why does everyone get wog and chink scores on this, but on Eurogenes and previous Dienekes tests they get no non-Euro?
    Dienekes said, the tool produces more "noise" than the calculations he officially does. I think he refers to these small percentages of African and Asian.
    Bring back the stocks!

  5. #345
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    My "bychr."
    Code:
    Chr	E_Euro	W_Euro	Medite	Neo_Af	W_Asia	S_Asia	N_E_As	S_E_As	E_Afri	S_W_As	N_W_Af	Pal_Af
    1	2.57	0.37	23.6	0	52.23	0	1.97	0	0.01	19.25	0	0
    2	2.43	7.58	22.79	0	43.63	0.02	0	0	0	23.54	0.02	0
    3	1.34	2.82	31.18	0.02	45.32	9.02	0	0	0.36	8.92	1.02	0
    4	0.01	2.73	17.59	0.09	50.22	11.48	1.04	0	0	16.84	0	0
    5	0	4.67	31.83	0	30.77	5.28	0.26	0	1.03	26.16	0	0
    6	6.09	0.04	23.46	0	44.85	0.56	2.06	0	0	21	1.94	0
    7	0.07	0	28.7	0.32	45.66	3.18	0.28	0.74	2.85	18.21	0	0
    8	0.03	0	27.38	0.3	49.83	2.77	0	0.73	0	15	3.96	0
    9	4.26	6.9	23.51	0	38.02	10.47	0	0	0.75	16.09	0	0
    10	8.41	1.35	16.76	0	41.03	9.85	0	1.95	0	17.47	2.28	0.89
    11	0	0	21.4	0	50.13	0.01	0	0	0	21.33	7.12	0
    12	4.96	6.81	20.94	0	44.62	0.37	0	0.17	0	22.13	0	0
    13	0	0.04	23.8	0	46.45	10.43	0	5.86	0	12.84	0	0.58
    14	1.47	2.49	14.57	0.01	44.33	12.26	1.66	0	0.01	20.57	1.45	1.16
    15	0.01	11.11	23.39	0	51.67	0	0	0	1.05	10.51	2.25	0
    16	0.02	4.23	31.48	0	41.27	5.44	0.17	0	0	17.38	0	0
    17	0	18.13	25.62	0	36.75	2.32	0	0	0	17.15	0.02	0
    18	0.03	0	20.58	0	39.15	0	0	3.58	3.03	33.63	0	0
    19	0	0	24.13	0	42.68	4.25	0	2.13	5.94	19.18	1.69	0
    20	5.33	0	29.48	0	41.21	5.54	0	3.95	0.3	14.18	0.01	0
    21	7.88	0.01	19.45	1.58	44.59	4.45	4.19	2.48	0	15.36	0	0
    22	0	14.23	24.56	0	34.45	2.79	0	0.13	0	23.84	0	0
    Attached Thumbnails Attached Thumbnails humanist_bychr_v3_k12_dodecadDIY.jpg  

  6. #346
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    I just received admixture analysis results from Dienekes. I am DOD804 on the spreadsheet. I sorted them.

    Mediterranean 34.8
    West_Asian 27.4
    West_European 17.2
    Southwest_Asian 11.4
    Northwest_African 6.6
    East_European 1.5
    East_African 1.1
    Neo_African 0.2
    South_Asian 0
    Northeast_Asian 0
    Southeast_Asian 0
    Palaeo_African 0

  7. #347
    Senior Member Kadu's Avatar
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    My DIY Dodecad2.0 results


    Genome-wide results:


    41.89% Mediterranean
    41.69% West_European
    5.50% Northwest_African
    3.34% Southwest_Asian
    3.27% West_Asian
    1.81% East_African
    1.24% East_European
    0.63% Southeast_Asian
    0.61% Neo_African
    0.01% South_Asian
    0.00% Northeast_Asian
    0.00% Palaeo_African


    By chromossome:




  8. #348
    Senior Member Humanophage's Avatar
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    Quote Originally Posted by Frederick View Post
    4/22 Finland (because of my Lithuanian Great Great Grandmom maybe)
    'FIN' and 'German_D' are Dodecad's primary way of explaining West Europeans with a significant East European element. Germans_D and FIN (not Finnish_D) are principally rather similar to each other, except that Finns are less Mediterranean.

    25% EE, 55% WE and 20% Med = German_D, then FIN
    25% EE, 55% WE, 10% Med, 10% scattered = FIN, then German_D

    A hypothetical Prussian German would turn out FIN, for instance: he will be mostly WE, with a moderate EE and little Med. Lithuanians do have the single highest EE percentage of all nations there, but it's unlikely that such a far-away ancestor would be a significant influence.
    Single Population Sharing (Eurogenes)
    1 Estonian_Polish 4.36
    2 Russian_Smolensk 4.88
    3 Southwest_Russian 5.32
    4 Belorussian 5.78
    5 Lithuanian 5.92

  9. #349
    Never meant to be here Frederick's Avatar
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    Quote Originally Posted by Humanophage View Post
    'FIN' and 'German_D' are Dodecad's primary way of explaining West Europeans with a significant East European element. Germans_D and FIN (not Finnish_D) are principally rather similar to each other, except that Finns are less Mediterranean.

    25% EE, 55% WE and 20% Med = German_D, then FIN
    25% EE, 55% WE, 10% Med, 10% scattered = FIN, then German_D

    A hypothetical Prussian German would turn out FIN, for instance: he will be mostly WE, with a moderate EE and little Med. Lithuanians do have the single highest EE percentage of all nations there, but it's unlikely that such a far-away ancestor would be a significant influence.
    Hm. I see.
    Its 3 times "FIN" and 1 time "Finnish".
    Last edited by Frederick; 08-26-2011 at 06:09 PM.
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    My" bychr"



    Everything else is to small to tell if it's noise or not.

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