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Thread: Got my G25. What next?

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    Default Got my G25. What next?

    ...
    Distance: 4.2280% / 0.04228024
    Aggregated
    42.2 Yamnaya_RUS_Samara
    35.0 Anatolia_Tepecik_Ciftlik_N
    7.0 Han
    5.0 WHG
    4.0 Nganassan
    3.4 IRN_Shahr_I_Sokhta_BA3
    1.4 IRN_Ganj_Dareh_N
    1.0 Dinka
    1.0 Kura-Araxes_ARM_Kaps

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    Mazel Tov. Now you need to talk to the 5 people online who know how to use it. Yes, it's that low. Maybe 1 can be found here; rest are on Anthrogenica. See if Davidski will help you answer your questions with G25. He's 1 of the 5 who knows how to use it.

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    Quote Originally Posted by Pine View Post
    Mazel Tov. Now you need to talk to the 5 people online who know how to use it. Yes, it's that low. Maybe 1 can be found here; rest are on Anthrogenica. See if Davidski will help you answer your questions with G25. He's 1 of the 5 who knows how to use it.
    I'm one of those 5 people, I guess. I'm also on anthrogenica.

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    About the anatolia tepecik ciftlik that i score 35% on Davidski basic analysis from my father side:
    We next conducted ADMIXTURE analysis [21], inferring ancestral clusters from modern-day worldwide populations and estimating the ancestry proportions of each ancient individual based on the inferred ancestral cluster allele frequencies (Figures 3A and S4). With ten clusters (K = 10), ancestry proportions of all Anatolian (Boncuklu, Tepecik-Çiftlik, Barcın, Menteşe, and Kumtepe) and European Neolithic individuals consisted of two components, a “northern component” associated with European hunter-gatherers (WHG, SHG, and EHG) and found in modern-day northern Europe at highest frequency (orange), and a “southern component” found in the modern-day Middle East and North Africa (gray). Notably, Boncuklu displayed lower amounts of this “southern component” compared to individuals from Tepecik-Çiftlik and Barcın (Mann-Whitney U test, p < 0.001; Data S3), implying an influx of “southern component” alleles into late Aceramic and/or Pottery Neolithic settlements in Anatolia. This finding was also in line with higher genetic diversity in the later Neolithic Anatolian populations compared to Boncuklu (Figures 2B and 2C). D statistics results revealed genetic affinity between Caucasus hunter-gatherers (CHGs) and one of the individuals from Tepecik-Çiftlik, Tep003, which was greater than the rest of the individuals from Tepecik-Çiftlik and other Neolithic individuals from central Anatolia, northwest Anatolia, and Europe (Data S3). An admixture graph fitted by modeling gene flow from CHG to Tep003 using TreeMix [22] further confirmed the genetic relationship between Tep003 and CHG individuals (admixture proportion = 0.012, p = 0.002) (Figure S3D). These results show the buildup of genetic diversity during the development of the Neolithic in Anatolia.

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    Quote Originally Posted by Akira View Post
    I'm one of those 5 people, I guess. I'm also on anthrogenica.
    If you're one of the 5, then let's be really, really good friends. The 3 I can think off hand (no offense to you, I may just not recognize you or don't recall your posts on Anthrogenica) are Davidski, the guy who created the nMonte algo in R, and Ted Kandell, where I'm currently more confident about the former two. Agamemnon on Anthrogenica is also really good, based on the East Med PCA he made. However, I simply don't have much else to judge him on in regards to G25. He is very intelligent and really knows his shit in general, though.

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    Quote Originally Posted by Pine View Post
    Mazel Tov. Now you need to talk to the 5 people online who know how to use it. Yes, it's that low. Maybe 1 can be found here; rest are on Anthrogenica. See if Davidski will help you answer your questions with G25. He's 1 of the 5 who knows how to use it.
    Every Slav has Davidski mentality already programmed

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    Idk if thats makes sense my this is gedmatch of tepecik ciftlik sample (harappa)

    Admix Results (sorted):

    # Population Percent
    1 Mediterranean 35.97
    2 Caucasian 34.84
    3 SW-Asian 17.73
    4 NE-Euro 4.9
    5 W-African 4.58
    6 NE-Asian 0.9
    7 E-African 0.9
    8 Papuan 0.18

    Single Population Sharing:

    # Population (source) Distance
    1 morocco-jew (behar) 11.28
    2 sephardic-jew (behar) 12.92
    3 ashkenazy-jew (behar) 16.83
    4 ashkenazi (harappa) 18.95
    5 tuscan (1000genomes) 21.71
    6 cypriot (behar) 21.75
    7 tuscan (hgdp) 22.06
    8 tuscan (hapmap) 22.28
    9 lebanese (behar) 25.28
    10 egypt (henn2012) 26.05
    11 jordanian (behar) 26.91
    12 palestinian (hgdp) 27.53
    13 turk-aydin (hodoglugil) 27.66
    14 italian (hgdp) 27.97
    15 lebanese-muslim (haber) 28.11
    16 syrian (behar) 28.46
    17 samaritian (behar) 28.48
    18 lebanese-christian (haber) 28.83
    19 egyptian (behar) 28.98
    20 palestinian (harappa) 29.05

    Mixed Mode Population Sharing:

    # Primary Population (source) Secondary Population (source) Distance
    1 50.8% samaritian (behar) + 49.2% sardinian (hgdp) @ 5.68
    2 51.7% palestinian (hgdp) + 48.3% sardinian (hgdp) @ 7.06
    3 50.5% lebanese-christian (haber) + 49.5% sardinian (hgdp) @ 7.18
    4 53.6% sardinian (hgdp) + 46.4% druze (hgdp) @ 7.33
    5 52.4% jordanian (behar) + 47.6% sardinian (hgdp) @ 7.55
    6 54.1% lebanese (behar) + 45.9% sardinian (hgdp) @ 7.81
    7 50.4% sardinian (hgdp) + 49.6% lebanese-druze (haber) @ 7.84
    8 51.2% lebanese-muslim (haber) + 48.8% sardinian (hgdp) @ 8.1
    9 50.9% syrian (behar) + 49.1% sardinian (hgdp) @ 8.32
    10 58.4% cypriot (behar) + 41.6% sardinian (hgdp) @ 8.38
    11 78.9% morocco-jew (behar) + 21.1% sardinian (hgdp) @ 8.39
    12 74.3% sephardic-jew (behar) + 25.7% sardinian (hgdp) @ 8.5
    13 65.1% cypriot (behar) + 34.9% tunisia (henn2012) @ 9.33
    14 50.3% palestinian (harappa) + 49.7% sardinian (hgdp) @ 9.36
    15 53.7% sardinian (hgdp) + 46.3% iraq-jew (behar) @ 9.42
    16 54.1% sardinian (hgdp) + 45.9% georgia-jew (behar) @ 9.77
    17 62.8% cypriot (behar) + 37.2% morocco-n (henn2012) @ 9.82
    18 81.7% sephardic-jew (behar) + 18.3% tunisia (henn2012) @ 10.02
    19 55.2% sardinian (hgdp) + 44.8% iranian-jew (behar) @ 10.09
    20 80.7% sephardic-jew (behar) + 19.3% morocco-n (henn2012) @ 10.3

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    Quote Originally Posted by Pine View Post
    If you're one of the 5, then let's be really, really good friends. The 3 I can think off hand (no offense to you, I may just not recognize you or don't recall your posts on Anthrogenica) are Davidski, the guy who created the nMonte algo in R, and Ted Kandell, where I'm currently more confident about the former two. Agamemnon on Anthrogenica is also really good, based on the East Med PCA he made. However, I simply don't have much else to judge him on in regards to G25. He is very intelligent and really knows his shit in general, though.
    The question is what you're trying to do exactly. A lot of the technical details escape even the most proficient users but I doubt this requires anything complex.

  9. #9
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    Bakha, you're already getting lost. This is exactly what I predicted. Your goal is to figure out your dad's recent ancestry, right? You want to know your ancestors during the common era. You'd have to become Davidski to learn how these ancient populations would imply modern ancestry. With your current fixation over the Anatolian sample, I can convince you that you're a Jew:

    [1] "distance%=1.6556"

    Me_scaled

    Anatolia_Tepecik_Ciftlik_N,39
    Yamnaya_RUS_Samara,17.4
    Levant_PPNB,11.8
    Anatolia_Barcin_N,10.6
    Kura-Araxes_ARM_Kaps,8.2
    IRN_Ganj_Dareh_N,7.2
    Han,2.4
    MAR_Iberomaurusian,2
    WHG,1.4

    My results from Davidski^

    You either are going to invest a good time reading papers on population genetics, learning statistics and how to use R, or you'll seek one of the 5 Power Rangers.

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    Quote Originally Posted by Akira View Post
    The question is what you're trying to do exactly. A lot of the technical details escape even the most proficient users but I doubt this requires anything complex.
    For one, I'd like to figure out the source(s) of my East Asian admixture. Mine is arguably an outlier result and of the type Ashkenazim rarely score.

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