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Thread: An nMonte and 4mix Guide for the Participants of the Basal-rich K7 and/or Global 10 T

  1. #21
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    Sevilla, Spain
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    Italo-Celtic
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    Spain
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    U152>L2>BY3485
    mtDNA
    H65

    Italy Spain
    Hello Onur Dinçer,

    What do you think if the Global10 differentiated by KModern, 10000BC and 3000BC is attached to the guide. We do not all know how to differentiate these times.

    Thank you very much

    Regards
    Paternal: R1b-U152+ L2+ BY4245+ BY3485+ BY3478+ , Giovanni Domenicus Rabai, b. 1609, Savona, Italy
    Maternal: Haplogroup H65, María García Martínez, b. 1746, Cuenca, Spain

    Manuel David Rabaez 1974, Manuel Rabaez 1948, Manuel Rabaez 1912, Antonio Rabay 1868, Antonio Rabay 1833, Manuel Rabay 1791, Manuel Rabay 1764, Pedro Rabai 1727, Pedro Joseph Rabai 1691, Giovanni Battista Rabai 1647, Jo. Domenicus Rabai 1609, Pietrus Rabai (work in progress...)

  2. #22
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    firemonkey,

    Here are your Global 10-based nMonte results:

    "German" 50.15
    "Dutch" 25.8
    "English_Cornwall" 12.25
    "Norwegian" 11.8
    "Irish" 0
    "English_Kent" 0
    "Scottish" 0
    distance=0.004534

    "Dutch" 37.1
    "English_Cornwall" 34.95
    "Swedish" 27.95
    "Irish" 0
    "English_Kent" 0
    "Scottish" 0
    "Surui" 0
    "Karitiana" 0
    distance=0.004732

    Your fits are good. Unfortunately Danish are not included in the data files of Global 10 and Basal-rich K7, so I could not test you with Danish.
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    Y-DNA: R1b>L51>L151>P312>U152>L2>DF90>FGC14641; Niğde, Turkey
    mtDNA: X2e2a; Drama, Greece
    Maternal Y-DNA: R1a>Z93>Z94>Y40>YP294>YP4867; Razgrad, Bulgaria
    Father's mtDNA: T2b; Niğde, Turkey
    Paternal grandfather's mtDNA: H2a1; Niğde, Turkey
    Maternal grandfather's mtDNA: H5; Razgrad, Bulgaria

  3. The Following User Says Thank You to Onur Dinçer For This Useful Post:

     firemonkey (12-12-2016)

  4. #23
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    H5a1

    Normandie Netherlands Friesland Finland
    I told David and Huijbregts yesterday that I was very reluctant to use nMonte on the principal components of a PCA, like Global 10. I did'nt have any positive reason, only a bad feeling. I mailed to an ex-colleague ( professor of numeric analysis in a parisian university). His response is very clear: I was wrong, and Huibregts was basically right. The only thing ( as Huijbregts himself thought) is to "take care to take away from the Monte-Carlo process the minor PC, which may spoil the results, even very badly and furthermore in a rather unpredictable way". In the case of Global 10, his advice is to experiment with the 8 or 7 first PC.
    En North alom, de North venom
    En North fum naiz, en North manom

    (Roman de Rou, Wace, 1160-1170)

  5. The Following 7 Users Say Thank You to anglesqueville For This Useful Post:

     donj (12-12-2016), Helgenes50 (12-12-2016), Huijbregts (12-12-2016), khanabadoshi (12-13-2016), randwulf (12-12-2016), Ravai (12-12-2016), Varun R (12-12-2016)

  6. #24
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    Quote Originally Posted by Onur Dinçer View Post
    firemonkey,

    Here are your Global 10-based nMonte results:

    "German" 50.15
    "Dutch" 25.8
    "English_Cornwall" 12.25
    "Norwegian" 11.8
    "Irish" 0
    "English_Kent" 0
    "Scottish" 0
    distance=0.004534

    "Dutch" 37.1
    "English_Cornwall" 34.95
    "Swedish" 27.95
    "Irish" 0
    "English_Kent" 0
    "Scottish" 0
    "Surui" 0
    "Karitiana" 0
    distance=0.004732

    Your fits are good. Unfortunately Danish are not included in the data files of Global 10 and Basal-rich K7, so I could not test you with Danish.
    Interesting results. Rather surprising that in both instances Scottish and Irish came up 0. German at 50.15 and Swedish at 27.95 were somewhat unexpected. I had only expected rather minor %s from them.
    Please support Mental health research and world community grid

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  7. #25
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    Ravai,

    You will recognize the ancient samples in the data files from their names as they usually consist of the archaeological culture or period they belong to, their project code, and in many cases also the location they were found. For example, the sample Altai_IA:RISE492 consists of all three components in its name: it was found in the Altai region of Russia, it belongs to the Iron Age, and its RISE Project code is RISE492. For more detailed info on those samples, you should read the papers their ancient DNA results were published.
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    Y-DNA: R1b>L51>L151>P312>U152>L2>DF90>FGC14641; Niğde, Turkey
    mtDNA: X2e2a; Drama, Greece
    Maternal Y-DNA: R1a>Z93>Z94>Y40>YP294>YP4867; Razgrad, Bulgaria
    Father's mtDNA: T2b; Niğde, Turkey
    Paternal grandfather's mtDNA: H2a1; Niğde, Turkey
    Maternal grandfather's mtDNA: H5; Razgrad, Bulgaria

  8. The Following User Says Thank You to Onur Dinçer For This Useful Post:

     Ravai (12-12-2016)

  9. #26
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    Quote Originally Posted by anglesqueville View Post
    I told David and Huijbregts yesterday that I was very reluctant to use nMonte on the principal components of a PCA, like Global 10. I did'nt have any positive reason, only a bad feeling. I mailed to an ex-colleague ( professor of numeric analysis in a parisian university). His response is very clear: I was wrong, and Huibregts was basically right. The only thing ( as Huijbregts himself thought) is to "take care to take away from the Monte-Carlo process the minor PC, which may spoil the results, even very badly and furthermore in a rather unpredictable way". In the case of Global 10, his advice is to experiment with the 8 or 7 first PC.
    For what it is worth, I have been getting good results by using all 10.

  10. #27
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    How about you Onur? I would like to see your parents results separetly if you don't mind. You have a very close ancestral background to mine.

  11. #28
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    Leper,

    Here are the Basal-rich K7-based nMonte results of me and my tested relatives:

    Me:

    "Romanian:average" 52.15
    "Armenian:average" 35.7
    "Uygur:average" 12.15
    "Turkish_Trabzon:average" 0
    "Cypriot:average" 0
    "Bulgarian:average" 0
    "Greek:average" 0
    "Macedonian:average" 0
    distance=0.003532

    My paternal grandfather's brother:

    "Armenian:average" 58.9
    "Greek:average" 24.85
    "Uygur:average" 16.25
    "Turkish_Trabzon:average" 0
    "Cypriot:average" 0
    distance=0.014641

    My maternal grandfather:

    "Romanian:average" 74.4
    "Armenian:average" 16.35
    "Uygur:average" 9.25
    "Turkish_Trabzon:average" 0
    "Cypriot:average" 0
    "Bulgarian:average" 0
    "Greek:average" 0
    "Macedonian:average" 0
    distance=0.019091

    My paternal grandmother:

    "Armenian:average" 61.15
    "Greek:average" 24.3
    "Uygur:average" 14.55
    "Turkish_Trabzon:average" 0
    "Cypriot:average" 0
    distance=0.012775

    My maternal grandmother:

    "Romanian:average" 78.4
    "Armenian:average" 16
    "Uygur:average" 5.6
    "Turkish_Trabzon:average" 0
    "Cypriot:average" 0
    "Bulgarian:average" 0
    "Greek:average" 0
    "Macedonian:average" 0
    distance=0.006469
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    Y-DNA: R1b>L51>L151>P312>U152>L2>DF90>FGC14641; Niğde, Turkey
    mtDNA: X2e2a; Drama, Greece
    Maternal Y-DNA: R1a>Z93>Z94>Y40>YP294>YP4867; Razgrad, Bulgaria
    Father's mtDNA: T2b; Niğde, Turkey
    Paternal grandfather's mtDNA: H2a1; Niğde, Turkey
    Maternal grandfather's mtDNA: H5; Razgrad, Bulgaria

  12. The Following 5 Users Say Thank You to Onur Dinçer For This Useful Post:

     Arame (01-02-2017), Awale (12-17-2016), DMXX (12-29-2016), kingjohn (12-12-2016), Leper (12-12-2016)

  13. #29
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    Quote Originally Posted by Onur Dinçer View Post
    ....
    Thanks, do you also have ancient ones?

  14. #30
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    I do wonder about the use of select populations. I guess most of us would choose populations based on known ancestry or populations that score high on various Gedmatch calculators. In my case I chose based on known ancestry and Eurogenes K13 results. Karitiana/surui was thrown into the mix as all the Dna land uploads from the 3 major companies have given me small amounts of Amazonian/Native American.
    Given that most of our ancestry is unknown though I do wonder whether restricting to known ancestry/top Gedmatch populations is the best way to go.

    With regards to nMonte in general I know that different calculators use different populations, but I am always surprised at the diversity of results I have had. I guess I may be looking for a consistency that just isn't there.
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