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Thread: Global25 automated nMonte for South/Central Asian members

  1. #101
    Registered Users
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    Y-DNA (P)
    L1a1
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    M30
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    R-L295

    Quote Originally Posted by MonkeyDLuffy View Post
    I guess then tribal is not the way to go. I'm genuinely confused what kind of eastern population it could be. Do we have any tibetian like group?
    He’s got Kusunda, Dai, Mongola, Siberian HG. It might be something mixed from the eastern steppe as @poi mentioned

    @ryukendo might know

    My suggestion is Karasuk or Okunevo
    Last edited by bmoney; 05-12-2018 at 07:15 AM.

  2. The Following 3 Users Say Thank You to bmoney For This Useful Post:

     MonkeyDLuffy (05-12-2018),  poi (05-13-2018),  Sapporo (05-12-2018)

  3. #102
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    Sorry poi I'm making it a headache for you and I really appreciate your work but I'm genuinely curious where this mysterious eastern mix is coming from.
    Last edited by MonkeyDLuffy; 05-12-2018 at 07:12 AM.

  4. The Following User Says Thank You to MonkeyDLuffy For This Useful Post:

     poi (05-12-2018)

  5. #103
    Gold Class Member
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    3,953
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    Gonur Tepe

    Afghanistan Jammu and Kashmir United States of America Canada
    Quote Originally Posted by Observer View Post
    Damgaard (2018) study that came out yesterday seems to have modeled C & South Asians with Namazga (BMAC).



    They used modern samples from Pakistan from 3 groups: Gujars, Khohistani and Pashtuns (Tarkalani, Uthmankhel, Yusufzai). Indian samples are almost all tribal-Adivasi (Autric/Drav), 1 Khatri, 4 Brahmin groups, including Manipuri Brahmin.

    They appear to have modeled Gujars without steppe_MLBA admixture, which is rather strange. What do you guys think?

    See if you can get Namazga_CA sample once they are available, and how it effects Indus_P and steppe admixture in South Asians.
    Namazga looks like a SA shifted version of Sarazm. What is the date on in it?? Its a whole lot better than Narsimhan's bar graph where Steppe and ANF were the same orange color.
    Pink is based of Pania it seems ( 20% Iran_N 80% AASI) . Though I am wondering why Iran_N and CHG are showing Pink .

  6. The Following 3 Users Say Thank You to pegasus For This Useful Post:

     bmoney (05-13-2018),  Observer (05-12-2018),  Sapporo (05-12-2018)

  7. #104
    Gold Class Member
    Posts
    3,953
    Location
    Gonur Tepe

    Afghanistan Jammu and Kashmir United States of America Canada
    Quote Originally Posted by poi View Post
    Finished 3 users' nmonte with Yamnaya, Barcin, and WHG references. Rest of the users' nmontes are continuously running. Hoping to get a few of the users done by tomorrow afternoon.

    poi - closest fit using BA and prior ancients

    Incidentally, adding Yamnaya and Barcin got me closest, fitwise, than Sintashta-MLBA.

    Code:
    [
      {
        "fit": 2.4567,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 58.2
          },
          {
            "group": "Yamnaya_Samara",
            "score": 20.2
          },
          {
            "group": "Barcin_N",
            "score": 10
          },
          {
            "group": "Dai",
            "score": 6.2
          },
          {
            "group": "Sintashta_MLBA",
            "score": 5.4
          }
        ]
      },
      {
        "fit": 2.4699,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 57
          },
          {
            "group": "Yamnaya_Samara",
            "score": 14.2
          },
          {
            "group": "Sintashta_MLBA",
            "score": 12
          },
          {
            "group": "Barcin_N",
            "score": 10.4
          },
          {
            "group": "Dai",
            "score": 6.4
          }
        ]
      },
      {
        "fit": 2.4766,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 56
          },
          {
            "group": "Sintashta_MLBA",
            "score": 22.4
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 10.2
          },
          {
            "group": "Dai",
            "score": 6.2
          },
          {
            "group": "West_Siberia_N",
            "score": 5.2
          }
        ]
      },
      {
        "fit": 2.496,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 58
          },
          {
            "group": "Yamnaya_Samara",
            "score": 19.6
          },
          {
            "group": "Barcin_N",
            "score": 9
          },
          {
            "group": "Sintashta_MLBA",
            "score": 6.8
          },
          {
            "group": "Dai",
            "score": 6.6
          }
        ]
      },
      {
        "fit": 2.5011,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 57.4
          },
          {
            "group": "Yamnaya_Samara",
            "score": 22.8
          },
          {
            "group": "Barcin_N",
            "score": 9.2
          },
          {
            "group": "Dai",
            "score": 6.8
          },
          {
            "group": "Yamnaya_Ukraine",
            "score": 3.8
          }
        ]
      },
      {
        "fit": 2.5132,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 58.4
          },
          {
            "group": "Yamnaya_Samara",
            "score": 18
          },
          {
            "group": "Barcin_N",
            "score": 9.2
          },
          {
            "group": "Yamnaya_Kalmykia",
            "score": 7.4
          },
          {
            "group": "Mongola",
            "score": 7
          }
        ]
      },
      {
        "fit": 2.5213,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 57.2
          },
          {
            "group": "Yamnaya_Samara",
            "score": 23
          },
          {
            "group": "Barcin_N",
            "score": 8.2
          },
          {
            "group": "Dai",
            "score": 6.8
          },
          {
            "group": "Yamnaya_Ukraine_o",
            "score": 4.8
          }
        ]
      },
      {
        "fit": 2.5296,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 57.6
          },
          {
            "group": "Yamnaya_Samara",
            "score": 26.4
          },
          {
            "group": "Barcin_N",
            "score": 9.2
          },
          {
            "group": "Dai",
            "score": 6.8
          }
        ]
      },
      {
        "fit": 2.533,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 57.6
          },
          {
            "group": "Yamnaya_Samara",
            "score": 25.4
          },
          {
            "group": "Barcin_N",
            "score": 8.2
          },
          {
            "group": "Dai",
            "score": 6.8
          },
          {
            "group": "Yamnaya_Bulgaria",
            "score": 2
          }
        ]
      },
      {
        "fit": 2.534,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 57.6
          },
          {
            "group": "Yamnaya_Samara",
            "score": 19
          },
          {
            "group": "Yamnaya_Kalmykia",
            "score": 8.4
          },
          {
            "group": "Barcin_N",
            "score": 8.2
          },
          {
            "group": "Dai",
            "score": 6.8
          }
        ]
      },
      {
        "fit": 2.5365,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 58.4
          },
          {
            "group": "Yamnaya_Samara",
            "score": 26
          },
          {
            "group": "Barcin_N",
            "score": 8.6
          },
          {
            "group": "Mongola",
            "score": 7
          }
        ]
      },
      {
        "fit": 2.5367,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 58.2
          },
          {
            "group": "Yamnaya_Samara",
            "score": 20.2
          },
          {
            "group": "Barcin_N",
            "score": 8.8
          },
          {
            "group": "Mongola",
            "score": 6.8
          },
          {
            "group": "Sintashta_MLBA_o2",
            "score": 6
          }
        ]
      },
      {
        "fit": 2.5382,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 56.4
          },
          {
            "group": "Sintashta_MLBA",
            "score": 26
          },
          {
            "group": "Burmese",
            "score": 8.6
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 7.4
          },
          {
            "group": "Kashkarchi_BA",
            "score": 1.6
          }
        ]
      },
      {
        "fit": 2.5397,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 58.4
          },
          {
            "group": "Yamnaya_Samara",
            "score": 23
          },
          {
            "group": "Barcin_N",
            "score": 9.4
          },
          {
            "group": "Mongola",
            "score": 7
          },
          {
            "group": "Yamnaya_Ukraine",
            "score": 2.2
          }
        ]
      },
      {
        "fit": 2.5465,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 58.2
          },
          {
            "group": "Yamnaya_Samara",
            "score": 20.4
          },
          {
            "group": "Barcin_N",
            "score": 8.8
          },
          {
            "group": "Dai",
            "score": 6.4
          },
          {
            "group": "Dali_MLBA",
            "score": 6.2
          }
        ]
      },
      {
        "fit": 2.5482,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 53.6
          },
          {
            "group": "Sintashta_MLBA",
            "score": 22.8
          },
          {
            "group": "Burmese",
            "score": 9.4
          },
          {
            "group": "Parkhai_LBA",
            "score": 9.2
          },
          {
            "group": "Kashkarchi_BA",
            "score": 5
          }
        ]
      },
      {
        "fit": 2.5572,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 58.2
          },
          {
            "group": "Yamnaya_Samara",
            "score": 25.8
          },
          {
            "group": "Barcin_N",
            "score": 9
          },
          {
            "group": "Mongola",
            "score": 7
          }
        ]
      },
      {
        "fit": 2.558,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 59.2
          },
          {
            "group": "Yamnaya_Samara",
            "score": 17.2
          },
          {
            "group": "Barcin_N",
            "score": 11.4
          },
          {
            "group": "Mongola",
            "score": 6.2
          },
          {
            "group": "Sintashta_MLBA_o3",
            "score": 6
          }
        ]
      },
      {
        "fit": 2.56,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 55.2
          },
          {
            "group": "Sintashta_MLBA",
            "score": 17.4
          },
          {
            "group": "Sintashta_MLBA_o1",
            "score": 11.2
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 9.4
          },
          {
            "group": "Dai",
            "score": 6.8
          }
        ]
      },
      {
        "fit": 2.5602,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 56.4
          },
          {
            "group": "Sintashta_MLBA",
            "score": 27.2
          },
          {
            "group": "Burmese",
            "score": 8.6
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 7.8
          }
        ]
      }
    ]
    ---

    bmoney - all ancients prior and including BA

    A bit of WHG shows up.

    Code:
    [
      {
        "fit": 2.495,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 79.8
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 9.2
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 9
          },
          {
            "group": "WHG",
            "score": 1.2
          },
          {
            "group": "Dai",
            "score": 0.8
          }
        ]
      },
      {
        "fit": 2.5068,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 12.6
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 6.8
          },
          {
            "group": "Dai",
            "score": 0.6
          }
        ]
      },
      {
        "fit": 2.5076,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 10.4
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 6.6
          },
          {
            "group": "Kashkarchi_BA",
            "score": 2.4
          },
          {
            "group": "Burmese",
            "score": 0.6
          }
        ]
      },
      {
        "fit": 2.5133,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 78
          },
          {
            "group": "Sintashta_MLBA",
            "score": 11.2
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 8.6
          },
          {
            "group": "Onge",
            "score": 1.6
          },
          {
            "group": "Dai",
            "score": 0.6
          }
        ]
      },
      {
        "fit": 2.5166,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80.6
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 11.6
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 7.2
          },
          {
            "group": "WHG",
            "score": 0.4
          },
          {
            "group": "Mongola",
            "score": 0.2
          }
        ]
      },
      {
        "fit": 2.5201,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 13
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 6.2
          },
          {
            "group": "Burmese",
            "score": 0.8
          }
        ]
      },
      {
        "fit": 2.5212,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80.2
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 12.6
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 6.6
          },
          {
            "group": "Dai",
            "score": 0.4
          },
          {
            "group": "Mongola",
            "score": 0.2
          }
        ]
      },
      {
        "fit": 2.5224,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 79.8
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 11
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 6.6
          },
          {
            "group": "Yamnaya_Ukraine_o",
            "score": 2
          },
          {
            "group": "Dai",
            "score": 0.6
          }
        ]
      },
      {
        "fit": 2.5337,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80.2
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 12
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 6.2
          },
          {
            "group": "Yamnaya_Bulgaria",
            "score": 1
          },
          {
            "group": "Dai",
            "score": 0.6
          }
        ]
      },
      {
        "fit": 2.5342,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 79.8
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 11
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 8.4
          },
          {
            "group": "Burmese",
            "score": 0.6
          },
          {
            "group": "Dai",
            "score": 0.2
          }
        ]
      },
      {
        "fit": 2.5343,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80.2
          },
          {
            "group": "Sintashta_MLBA",
            "score": 12.8
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 5.4
          },
          {
            "group": "Dai",
            "score": 1
          },
          {
            "group": "Yamnaya_Ukraine_o",
            "score": 0.6
          }
        ]
      },
      {
        "fit": 2.5348,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 79.2
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 11
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 8.4
          },
          {
            "group": "Onge",
            "score": 1.4
          }
        ]
      },
      {
        "fit": 2.5379,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 78
          },
          {
            "group": "Sintashta_MLBA",
            "score": 11
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 9
          },
          {
            "group": "Onge",
            "score": 2
          }
        ]
      },
      {
        "fit": 2.5436,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80
          },
          {
            "group": "Kashkarchi_BA",
            "score": 10.2
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 9.4
          },
          {
            "group": "Dai",
            "score": 0.4
          }
        ]
      },
      {
        "fit": 2.5458,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80.2
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 10.8
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 8.6
          },
          {
            "group": "Burmese",
            "score": 0.4
          }
        ]
      },
      {
        "fit": 2.5469,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80.6
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 11.4
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 7.6
          },
          {
            "group": "Mongola",
            "score": 0.4
          }
        ]
      },
      {
        "fit": 2.5485,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80.4
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 9.4
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 5.8
          },
          {
            "group": "Dali_MLBA",
            "score": 3.8
          },
          {
            "group": "Dai",
            "score": 0.6
          }
        ]
      },
      {
        "fit": 2.5494,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 79.8
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 10.2
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 9
          },
          {
            "group": "Burmese",
            "score": 0.6
          },
          {
            "group": "Onge",
            "score": 0.4
          }
        ]
      },
      {
        "fit": 2.5514,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80.6
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 10.8
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 7.2
          },
          {
            "group": "Yamnaya_Bulgaria",
            "score": 1
          },
          {
            "group": "Mongola",
            "score": 0.4
          }
        ]
      },
      {
        "fit": 2.5517,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 80.4
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 10.2
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 7.6
          },
          {
            "group": "Yamnaya_Ukraine",
            "score": 1.4
          },
          {
            "group": "Mongola",
            "score": 0.4
          }
        ]
      }
    ]
    ---

    MonkeyDLuffy - all ancients prior and including BA

    MDL's fits are still not improving after 17,000 nmonte modeling involving 25+ ancient samples. We're missing something. Perhaps get to the right ones as I expand this further.

    Code:
    [
      {
        "fit": 3.0123,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 60.2
          },
          {
            "group": "Dali_MLBA",
            "score": 27.6
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 12
          },
          {
            "group": "Barcin_N",
            "score": 0.2
          }
        ]
      },
      {
        "fit": 3.0532,
        "scores": [
          {
            "group": "Gonur2_BA",
            "score": 35.8
          },
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 34
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 18.8
          },
          {
            "group": "Dali_MLBA",
            "score": 8.2
          },
          {
            "group": "Mongola",
            "score": 3.2
          }
        ]
      },
      {
        "fit": 3.0548,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 60.6
          },
          {
            "group": "Dali_MLBA",
            "score": 26
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 13.4
          }
        ]
      },
      {
        "fit": 3.0552,
        "scores": [
          {
            "group": "Gonur2_BA",
            "score": 37.2
          },
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 33
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 26.2
          },
          {
            "group": "Mongola",
            "score": 3.6
          }
        ]
      },
      {
        "fit": 3.0598,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 59.6
          },
          {
            "group": "Dali_MLBA",
            "score": 18.2
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 16.2
          },
          {
            "group": "Sintashta_MLBA_o3",
            "score": 6
          }
        ]
      },
      {
        "fit": 3.0632,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 60.8
          },
          {
            "group": "Dali_MLBA",
            "score": 25.8
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 13.4
          }
        ]
      },
      {
        "fit": 3.0806,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 60.4
          },
          {
            "group": "Dali_MLBA",
            "score": 25.8
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 11
          },
          {
            "group": "Yamnaya_Bulgaria",
            "score": 2.8
          }
        ]
      },
      {
        "fit": 3.0809,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 59.4
          },
          {
            "group": "Dali_MLBA",
            "score": 17.8
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 16.2
          },
          {
            "group": "Sintashta_MLBA_o3",
            "score": 6.6
          }
        ]
      },
      {
        "fit": 3.0822,
        "scores": [
          {
            "group": "Gonur2_BA",
            "score": 37.8
          },
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 32.6
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 23.2
          },
          {
            "group": "Mongola",
            "score": 3.8
          },
          {
            "group": "Yamnaya_Bulgaria",
            "score": 2.6
          }
        ]
      },
      {
        "fit": 3.0848,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 60.6
          },
          {
            "group": "Dali_MLBA",
            "score": 21.4
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 12.8
          },
          {
            "group": "Yamnaya_Ukraine",
            "score": 5.2
          }
        ]
      },
      {
        "fit": 3.0925,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 60.6
          },
          {
            "group": "Dali_MLBA",
            "score": 27
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 12.4
          }
        ]
      },
      {
        "fit": 3.0932,
        "scores": [
          {
            "group": "Gonur2_BA",
            "score": 37.8
          },
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 32.2
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 26.4
          },
          {
            "group": "Burmese",
            "score": 3
          },
          {
            "group": "Dai",
            "score": 0.6
          }
        ]
      },
      {
        "fit": 3.0962,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 60
          },
          {
            "group": "Dali_MLBA",
            "score": 19.8
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 15.8
          },
          {
            "group": "Sintashta_MLBA_o3",
            "score": 4.4
          }
        ]
      },
      {
        "fit": 3.1011,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 60.8
          },
          {
            "group": "Dali_MLBA",
            "score": 25.4
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 13.8
          }
        ]
      },
      {
        "fit": 3.1029,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 60.8
          },
          {
            "group": "Dali_MLBA",
            "score": 24.8
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 14.4
          }
        ]
      },
      {
        "fit": 3.1052,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 58.6
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 16.4
          },
          {
            "group": "Dali_MLBA",
            "score": 14.6
          },
          {
            "group": "Sintashta_MLBA_o1",
            "score": 10.4
          }
        ]
      },
      {
        "fit": 3.1061,
        "scores": [
          {
            "group": "Gonur2_BA",
            "score": 36.2
          },
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 33.8
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 21.4
          },
          {
            "group": "Kashkarchi_BA",
            "score": 5
          },
          {
            "group": "Mongola",
            "score": 3.6
          }
        ]
      },
      {
        "fit": 3.1141,
        "scores": [
          {
            "group": "Gonur2_BA",
            "score": 37.2
          },
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 34.2
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 21.8
          },
          {
            "group": "Mongola",
            "score": 3.6
          },
          {
            "group": "Barcin_N",
            "score": 3.2
          }
        ]
      },
      {
        "fit": 3.1153,
        "scores": [
          {
            "group": "Gonur2_BA",
            "score": 40.4
          },
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 29.4
          },
          {
            "group": "Srubnaya_MLBA",
            "score": 25.8
          },
          {
            "group": "Burmese",
            "score": 3
          },
          {
            "group": "Mongola",
            "score": 1.4
          }
        ]
      },
      {
        "fit": 3.1196,
        "scores": [
          {
            "group": "Shahr_I_Sokhta_BA3",
            "score": 60.8
          },
          {
            "group": "Dali_MLBA",
            "score": 25.6
          },
          {
            "group": "Hajji_Firuz_ChL",
            "score": 13.6
          }
        ]
      }
    ]
    Thats because as I predicted with Kalash, the early Indo Aryan wave, were more Yamna shifted Sintashta ie Potolvka , some even resemble them more than other Sintashta. Some of the Andronovo samples have the same Pseudo Yamna effect as a result of mixing with Dali, who have insane amounts of ANE. Dali is 80% Siberian/Keltiminar and 20% Iran_N

    Run Kalash with Yamnaya, MLBA Steppe
    Last edited by pegasus; 05-12-2018 at 04:27 PM.

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  9. #105
    Gold Class Member
    Posts
    3,953
    Location
    Gonur Tepe

    Afghanistan Jammu and Kashmir United States of America Canada
    For Duffy try the Gonur outlier (Steppe ) , whose basically Steppe rich Iran_N/Dali type.

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  11. #106
    Gold Class Member
    Posts
    2,065
    Sex
    Location
    NorCal
    Ethnicity
    Punjabi Jatt Sikh
    Nationality
    American & Canadian
    Y-DNA (P)
    L-M357 > Y33989
    mtDNA (M)
    HV2a3
    Y-DNA (M)
    L-M27
    mtDNA (P)
    R0

    United States of America California Republic Canada India Punjab Sikh Empire Nishan Sahib
    Quote Originally Posted by Observer View Post
    Damgaard (2018) study that came out yesterday seems to have modeled C & South Asians with Namazga (BMAC).



    They used modern samples from Pakistan from 3 groups: Gujars, Khohistani and Pashtuns (Tarkalani, Uthmankhel, Yusufzai). Indian samples are almost all tribal-Adivasi (Autric/Drav), 1 Khatri, 4 Brahmin groups, including Manipuri Brahmin.

    They appear to have modeled Gujars without steppe_MLBA admixture, which is rather strange. What do you guys think?

    See if you can get Namazga_CA sample once they are available, and how it effects Indus_P and steppe admixture in South Asians.
    Are you aware if the Kohistani, Northeastern Pashtuns (Tarkalani, Uthmankhel, Yusufzai), Punjabi Khatri or Gujarati Brahmins are available to the public? It seems Kurd has already gotten the Yusufzai.
    pegasus modeling:
    sample": "Punjabi_Jat:Sapporo_AGUser",
    "fit": 1.1506,
    "IRN_Shahr_I_Sokhta_BA3": 43.33,
    "TKM_Gonur1_BA": 31.67,
    "RUS_Sintashta_MLBA": 25,
    "closestDistances": [

    avatar credit goes out to aaronbee2010

  12. #107
    Global Moderator
    Posts
    4,655
    Sex
    Y-DNA (P)
    R1a-L657 >BY160158
    mtDNA (M)
    M30g
    Y-DNA (M)
    R1a-L657 >Y6
    mtDNA (P)
    U2C1

    Quote Originally Posted by MonkeyDLuffy View Post
    Sorry poi I'm making it a headache for you and I really appreciate your work but I'm genuinely curious where this mysterious eastern mix is coming from.
    After this round finishes, I will add more Eastern Steppe samples like @bmoney mentioned below, as well as Papuan, just to be safe.

    Quote Originally Posted by bmoney View Post
    Hes got Kusunda, Dai, Mongola, Siberian HG. It might be something mixed from the eastern steppe as @poi mentioned

    @ryukendo might know

    My suggestion is Karasuk or Okunevo

    Quote Originally Posted by pegasus View Post
    Thats because as I predicted with Kalash, the early Indo Aryan wave, were more Yamna shifted Sintashta ie Potolvka , some even resemble them more than other Sintashta. Some of the Andronovo samples have the same Pseudo Yamna effect as a result of mixing with Dali, who have insane amounts of ANE. Dali is 80% Siberian/Keltiminar and 20% Iran_N

    Run Kalash with Yamnaya, MLBA Steppe
    A Kalash sample is running with the same configuration as the rest, so we will have the results in a few hours.

  13. #108
    Registered Users
    Posts
    210

    Quote Originally Posted by pegasus View Post
    Namazga looks like a SA shifted version of Sarazm. What is the date on in it?? Its a whole lot better than Narsimhan's bar graph where Steppe and ANF were the same orange color.
    Pink is based of Pania it seems ( 20% Iran_N 80% AASI) . Though I am wondering why Iran_N and CHG are showing Pink .
    Namazga_CA is 5300-5200 BP.

    Quote Originally Posted by Sapporo View Post
    Are you aware if the Kohistani, Northeastern Pashtuns (Tarkalani, Uthmankhel, Yusufzai), Punjabi Khatri or Gujarati Brahmins are available to the public? It seems Kurd has already gotten the Yusufzai.
    Kurd seems to have all of them.

    https://anthrogenica.com/showthread....l=1#post392788

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  15. #109
    Global Moderator
    Posts
    796
    Sex
    Location
    UK
    Ethnicity
    Bengali
    Y-DNA (P)
    R1a-L657
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    Poi, bit late to the party, but Burmese probably isn't the best proxy for the East Asian in Bengalis. They're also south asian admixed, and probably don't discriminate that well between the SE vs NE Asian. Also the Bamar themselves would be unlikely to have contributed direct ancestry.

    Discriminating the austroasiatic from the more relatively recent tibeto-burman type ancestry would be an interesting endeavour but I'm at a loss personally to suggest proxies for that.

    The one benefit of using Dai/Han/Mongola is that it would leave the 'west/south asian' components relatively spared.

    Thoughts?
    Paternal; Y-DNA: R1a-L657> Y6> Y11> Y920*
    Paternal; mtDNA: M5b'c
    Maternal; Y-DNA: R1a-L657> Y6
    Maternal; mtDNA: M4b1
    Maternal Grandmother; Y-DNA: R1a-L657> Y6

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  17. #110
    Global Moderator
    Posts
    4,655
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    R1a-L657 >BY160158
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    Quote Originally Posted by Reza View Post
    Poi, bit late to the party, but Burmese probably isn't the best proxy for the East Asian in Bengalis. They're also south asian admixed, and probably don't discriminate that well between the SE vs NE Asian. Also the Bamar themselves would be unlikely to have contributed direct ancestry.

    Discriminating the austroasiatic from the more relatively recent tibeto-burman type ancestry would be an interesting endeavour but I'm at a loss personally to suggest proxies for that.

    The one benefit of using Dai/Han/Mongola is that it would leave the 'west/south asian' components relatively spared.

    Thoughts?
    Good point about the Burmese. I have run a lot of nmonte by now for each user, so I can filter various individual groups out of the scores.

    The "East Asian" cluster only allows only 1 out of Dai, Mongols, Yakut, Ngagassan, and Burmese. So, you already have scores from the other East Asian groups.

    Once users/references finish their latest roumd, i will post each member's closest fits with and without certain groups.

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