happycow's G25 results

Quote:

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Originally Posted by Toppo900

Found it. It's in Georgia category.

"sample": "Custom:Palestinian",
"fit": 3.7165,
"Levant_PPNB": 55.83,
"IRN_Wezmeh_N": 22.5,
"Anatolia_Barcin_N": 11.67,
"GEO_CHG": 10,

I think it needed more simple in the mix.

0.01
"sample": "Test1:Palestinian",
"fit": 3.666,
"Levant_PPNB": 54.17,
"IRN_Ganj_Dareh_N": 19.17,
"GEO_CHG": 12.5,
"Anatolia_Barcin_N": 8.33,
"MAR_Iberomaurusian": 5.83,

0

"sample": "Test1:Palestinian",
"fit": 3.604,
"Levant_PPNB": 52.5,
"IRN_Ganj_Dareh_N": 22.5,
"GEO_CHG": 10,
"Anatolia_Barcin_N": 9.17,
"MAR_Iberomaurusian": 5.83,

How is it now?

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It looks like there's Steppe as well. Using Yamnaya lowered the fit down. CHG is not required in this model. The other model you posted is good I think.
"fit": 3.0772,
"Levant_PPNB": 54.17,
"IRN_Ganj_Dareh_N": 25,
"Anatolia_Barcin_N": 9.17,
"Yamnaya_RUS_Samara": 7.5,
"MAR_Iberomaurusian": 4.17,

Quote:

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Originally Posted by NPKTO

It looks like there's Steppe as well. Using Yamnaya lowered the fit down. CHG is not required in this model. The other model you posted is good I think.
"fit": 3.0772,
"Levant_PPNB": 54.17,
"IRN_Ganj_Dareh_N": 25,
"Anatolia_Barcin_N": 9.17,
"Yamnaya_RUS_Samara": 7.5,
"MAR_Iberomaurusian": 4.17,

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I used more recent ancient samples for the Palestinian Muslims:

"sample": "Test1alestinian",
"fit": 1.0421,
"Levant_Canaanite_MBA": 53.33,
"Levant_JOR_EBA": 22.5,
"TKM_IA": 13.33,
"Canary_Islands_Guanche": 6.67,
"TZA_Pemba_600BP": 4.17,
"GEO_CHG": 0,

According to Mingle, this is very accurate.

Quote:

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Originally Posted by Toppo900

I used more recent ancient samples for the Palestinian Muslims:

"sample": "Test1alestinian",
"fit": 1.0421,
"Levant_Canaanite_MBA": 53.33,
"Levant_JOR_EBA": 22.5,
"TKM_IA": 13.33,
"Canary_Islands_Guanche": 6.67,
"TZA_Pemba_600BP": 4.17,
"GEO_CHG": 0,

According to Mingle, this is very accurate.

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You just have to be very careful not to have multiple closely related components.

Quote:

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Originally Posted by NPKTO

You just have to be very careful not to have multiple closely related components.

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They're aren't closely related in the results, so it's good.