Maguzanci
05-29-2019, 03:47 PM
IT GOES TO BONDA AND THE JUANG TRIBE OF ORISSA... CONGRATULATIONS!! :thumb001::cool:
This needs to be celebrated!! There is not a lot of South Asians who managed to keep themselves this genetically intact from the massive Caucasoid invasion of the subcontinent. People seem to be much more interested to talk about who is the most Caucasoid of the South Asians but not who is the least Western-shifted so I decide to make an opposite one!!
This Bonda ORI:34 is the least Western-shifted sample. It seems to be anywhere from 7-11% Western admixed. I also add the Bonda ORI:35 sample who is more around 9-11% West Eurasian. I used to two version of Simulated AASI, the one by Matt and the Simulated_AASI_Averaged.
P.S.- Not going to do one for Bonda ORI:36 as the result is very similar to Bonda ORI:35.
Here is the one using Simulated AASI by Matt. The Parkhai and MBA is used as the source for Western affinity. Here it seems Bonda ORI34 and ORI35 are only 7 and 9% West Eurasian. The rest of their genome being 62-64% AASI and 28-29% Mongoloid (represented by Lao_LN_BA)
"sample": "Test1:Bonda_-_ORI34",
"fit": 1.8437,
"Simulated_AASI": 64.17,
"LAO_LN_BA": 28.33,
"TKM_Parkhai_MBA": 5,
"Yamnaya_BGR": 2.5,
"closestDistances": [
"Simulated_AASI:By_Matt: 12.58583",
"LAO_LN_BA:undefined: 27.88733",
"TKM_Parkhai_MBA:undefined: 45.84193",
"Yamnaya_BGR:undefined: 47.74943"
"sample": "Test2:Bonda_-_ORI35",
"fit": 2.2089,
"Simulated_AASI": 61.67,
"LAO_LN_BA": 29.17,
"Yamnaya_BGR": 5.83,
"TKM_Parkhai_MBA": 3.33,
"closestDistances": [
"Simulated_AASI:By_Matt: 13.31667",
"LAO_LN_BA:undefined: 27.52283",
"TKM_Parkhai_MBA:undefined: 45.35207",
"Yamnaya_BGR:undefined: 47.01895"
The fit here is slightly better; Here everything it is the same. Just changed Parkhai to Sarazm Eneolithic, the Western affinity of Bonda ORI34 and ORI35 are 8 and 10%. The rest of their genome being 61-63% AASI and 28-29% East Asian.
"sample": "Test1:Bonda_-_ORI34",
"fit": 1.7764,
"Simulated_AASI": 63.33,
"LAO_LN_BA": 28.33,
"TJK_Sarazm_Eneolithic": 5.83,
"Yamnaya_BGR": 2.5,
"closestDistances": [
"Simulated_AASI:By_Matt: 12.58583",
"LAO_LN_BA:undefined: 27.88733",
"TJK_Sarazm_Eneolithic:undefined: 43.38315",
"Yamnaya_BGR:undefined: 47.74943"
"sample": "Test2:Bonda_-_ORI35",
"fit": 2.0954,
"Simulated_AASI": 60.83,
"LAO_LN_BA": 29.17,
"TJK_Sarazm_Eneolithic": 7.5,
"Yamnaya_BGR": 2.5,
"closestDistances": [
"Simulated_AASI:By_Matt: 13.31667",
"LAO_LN_BA:undefined: 27.52283",
"TJK_Sarazm_Eneolithic:undefined: 42.85483",
"Yamnaya_BGR:undefined: 47.01895"
Here I experimented with the Simulated AASI_Averaged to see whether it gives different results. Here AASI ancestry decrease, while the East Asian and Western affinity increases. Here the Bonda ORI34 and ORI35 is now around 10-12% Western admixed. They now only have 55-58% AASI but their East Asian affinity increases to 32-33% Lao_LN_BA.
Here is the model using Ganj Dareh and Yamnaya BGR as the Western proxy for the admixture in Bonda ORI:34 and ORI:35
"sample": "Test1:Bonda_-_ORI34",
"fit": 1.7735,
"Simulated_AASI": 57.5,
"LAO_LN_BA": 31.67,
"IRN_Ganj_Dareh_N": 6.67,
"Yamnaya_BGR": 4.17,
"closestDistances": [
"Simulated_AASI:Averaged: 16.44499",
"LAO_LN_BA:undefined: 27.88733",
"IRN_Ganj_Dareh_N:undefined: 44.66518",
"Yamnaya_BGR:undefined: 47.74943"
]
"sample": "Test2:Bonda_-_ORI35",
"fit": 2.0545,
"Simulated_AASI": 55,
"LAO_LN_BA": 33.33,
"Yamnaya_BGR": 6.67,
"IRN_Ganj_Dareh_N": 5,
"closestDistances": [
"Simulated_AASI:Averaged: 17.17574",
"LAO_LN_BA:undefined: 27.52283",
"IRN_Ganj_Dareh_N:undefined: 44.26907",
"Yamnaya_BGR:undefined: 47.01895"
Now replacing Ganj Dareh with Parkhai MBA instead and the Western admixture decreases a bit. The fit is still fine but a bit more distant.
"sample": "Test1:Bonda_-_ORI34",
"fit": 1.8943,
"Simulated_AASI_Averaged": 57.5,
"LAO_LN_BA": 32.5,
"Yamnaya_BGR": 6.67,
"TKM_Parkhai_MBA": 3.33,
"closestDistances": [
"Simulated_AASI_Averaged:undefined: 16.44500",
"LAO_LN_BA:undefined: 27.88733",
"TKM_Parkhai_MBA:undefined: 45.84193",
"Yamnaya_BGR:undefined: 47.74943"
]
"sample": "Test2:Bonda_-_ORI35",
"fit": 2.0919,
"Simulated_AASI_Averaged": 55.83,
"LAO_LN_BA": 32.5,
"Yamnaya_BGR": 7.5,
"TKM_Parkhai_MBA": 4.17,
"closestDistances": [
"Simulated_AASI_Averaged:undefined: 17.17574",
"LAO_LN_BA:undefined: 27.52283",
"TKM_Parkhai_MBA:undefined: 45.35207",
"Yamnaya_BGR:undefined: 47.01895"
Here is the models for the average Bonda and Juang: using Simulated AASI_Average.
Note: There is only one Juang sample. More Juangs might be need for a more accurate look at their genomes.
Parkhai and Yamnaya is used to represent the proxy for Western affinity as usual. The average Bonda and Juang are now 56-57% AASI, 32-33% East Asian (Lao_LN_BA) and 10-12% Western admixed (Parkhai and Yamnaya).
"sample": "Test1:Bonda",
"fit": 1.7464,
"Simulated_AASI": 56.67,
"LAO_LN_BA": 31.67,
"TKM_Parkhai_Eneolithic": 5.83,
"Yamnaya_BGR": 5.83,
"closestDistances": [
"Simulated_AASI:Averaged: 16.94482",
"LAO_LN_BA:undefined: 27.57428",
"TKM_Parkhai_Eneolithic:undefined: 44.74623",
"Yamnaya_BGR:undefined: 47.20293"
"sample": "Test2:Juang",
"fit": 2.4843,
"Simulated_AASI": 55.83,
"LAO_LN_BA": 33.33,
"Yamnaya_BGR": 5.83,
"TKM_Parkhai_Eneolithic": 5,
"closestDistances": [
"Simulated_AASI:Averaged: 16.94778",
"LAO_LN_BA:undefined: 27.66927",
"TKM_Parkhai_Eneolithic:undefined: 45.11504",
"Yamnaya_BGR:undefined: 47.22725""
Now testing the same model using Simulated AASI by Matt instead. The fit is alright for the Bonda:Average but not for the Juang. Their AASI ancestry increase while there Mongoloid and Western affinity decreases again.
Now the average Bonda and Juang are now 61-63% AASI, 29% Mongoloid and 8-9% Western Eurasian.
"sample": "Test1:Bonda",
"fit": 1.9202,
"Simulated_AASI": 61.67,
"LAO_LN_BA": 29.17,
"TKM_Parkhai_Eneolithic": 5.83,
"Yamnaya_BGR": 3.33,
"closestDistances": [
"Simulated_AASI:By_Matt: 13.09694",
"LAO_LN_BA:undefined: 27.57428",
"TKM_Parkhai_Eneolithic:undefined: 44.74623",
"Yamnaya_BGR:undefined: 47.20293"
"sample": "Test2:Juang",
"fit": 2.7489,
"Simulated_AASI": 62.5,
"LAO_LN_BA": 29.17,
"Yamnaya_BGR": 5,
"TKM_Parkhai_Eneolithic": 3.33,
"closestDistances": [
"Simulated_AASI:By_Matt: 13.16223",
"LAO_LN_BA:undefined: 27.66927",
"TKM_Parkhai_Eneolithic:undefined: 45.11504",
"Yamnaya_BGR:undefined: 47.22725"
P.S.- The award is not going to go to Andamanese or most Tibeto-Burmans who are West Eurasian blood-free but are not really South Asians genetically....
The fact that the Bonda and Juang is predominantly East Eurasian/ENA and score only 7-11% Western admix is very impressive. Considering how most Indians/South Asians are at least 40-50% Caucasian/Western Eurasian admixed or more... I am very proud in how these tribes managed to keep themselves fairly genetically intact from the ancient Caucasoid invasions/intrusions into the Indian subcontinent which seem to have extremely successful massive impacts on the genetics of South Asian populations.
These guys are literally the reversed or East Eurasian version of the Baloch/Brahui/Makrani tho (those guys just have very little AASI instead). :cool:
But there was another modelling by DMXX on Anthrogenica where he managed to the Bonda and Juang literally zero almost close to zero Western Eurasian. I will show in it the next post.
I made a similar thread before but barely anyone notices or replies: https://www.theapricity.com/forum/showthread.php?289677-Global-K25-models-for-the-Munda-Part-1-Bonda-and-Juang
Maybe this is just very redundant? :confused:
This needs to be celebrated!! There is not a lot of South Asians who managed to keep themselves this genetically intact from the massive Caucasoid invasion of the subcontinent. People seem to be much more interested to talk about who is the most Caucasoid of the South Asians but not who is the least Western-shifted so I decide to make an opposite one!!
This Bonda ORI:34 is the least Western-shifted sample. It seems to be anywhere from 7-11% Western admixed. I also add the Bonda ORI:35 sample who is more around 9-11% West Eurasian. I used to two version of Simulated AASI, the one by Matt and the Simulated_AASI_Averaged.
P.S.- Not going to do one for Bonda ORI:36 as the result is very similar to Bonda ORI:35.
Here is the one using Simulated AASI by Matt. The Parkhai and MBA is used as the source for Western affinity. Here it seems Bonda ORI34 and ORI35 are only 7 and 9% West Eurasian. The rest of their genome being 62-64% AASI and 28-29% Mongoloid (represented by Lao_LN_BA)
"sample": "Test1:Bonda_-_ORI34",
"fit": 1.8437,
"Simulated_AASI": 64.17,
"LAO_LN_BA": 28.33,
"TKM_Parkhai_MBA": 5,
"Yamnaya_BGR": 2.5,
"closestDistances": [
"Simulated_AASI:By_Matt: 12.58583",
"LAO_LN_BA:undefined: 27.88733",
"TKM_Parkhai_MBA:undefined: 45.84193",
"Yamnaya_BGR:undefined: 47.74943"
"sample": "Test2:Bonda_-_ORI35",
"fit": 2.2089,
"Simulated_AASI": 61.67,
"LAO_LN_BA": 29.17,
"Yamnaya_BGR": 5.83,
"TKM_Parkhai_MBA": 3.33,
"closestDistances": [
"Simulated_AASI:By_Matt: 13.31667",
"LAO_LN_BA:undefined: 27.52283",
"TKM_Parkhai_MBA:undefined: 45.35207",
"Yamnaya_BGR:undefined: 47.01895"
The fit here is slightly better; Here everything it is the same. Just changed Parkhai to Sarazm Eneolithic, the Western affinity of Bonda ORI34 and ORI35 are 8 and 10%. The rest of their genome being 61-63% AASI and 28-29% East Asian.
"sample": "Test1:Bonda_-_ORI34",
"fit": 1.7764,
"Simulated_AASI": 63.33,
"LAO_LN_BA": 28.33,
"TJK_Sarazm_Eneolithic": 5.83,
"Yamnaya_BGR": 2.5,
"closestDistances": [
"Simulated_AASI:By_Matt: 12.58583",
"LAO_LN_BA:undefined: 27.88733",
"TJK_Sarazm_Eneolithic:undefined: 43.38315",
"Yamnaya_BGR:undefined: 47.74943"
"sample": "Test2:Bonda_-_ORI35",
"fit": 2.0954,
"Simulated_AASI": 60.83,
"LAO_LN_BA": 29.17,
"TJK_Sarazm_Eneolithic": 7.5,
"Yamnaya_BGR": 2.5,
"closestDistances": [
"Simulated_AASI:By_Matt: 13.31667",
"LAO_LN_BA:undefined: 27.52283",
"TJK_Sarazm_Eneolithic:undefined: 42.85483",
"Yamnaya_BGR:undefined: 47.01895"
Here I experimented with the Simulated AASI_Averaged to see whether it gives different results. Here AASI ancestry decrease, while the East Asian and Western affinity increases. Here the Bonda ORI34 and ORI35 is now around 10-12% Western admixed. They now only have 55-58% AASI but their East Asian affinity increases to 32-33% Lao_LN_BA.
Here is the model using Ganj Dareh and Yamnaya BGR as the Western proxy for the admixture in Bonda ORI:34 and ORI:35
"sample": "Test1:Bonda_-_ORI34",
"fit": 1.7735,
"Simulated_AASI": 57.5,
"LAO_LN_BA": 31.67,
"IRN_Ganj_Dareh_N": 6.67,
"Yamnaya_BGR": 4.17,
"closestDistances": [
"Simulated_AASI:Averaged: 16.44499",
"LAO_LN_BA:undefined: 27.88733",
"IRN_Ganj_Dareh_N:undefined: 44.66518",
"Yamnaya_BGR:undefined: 47.74943"
]
"sample": "Test2:Bonda_-_ORI35",
"fit": 2.0545,
"Simulated_AASI": 55,
"LAO_LN_BA": 33.33,
"Yamnaya_BGR": 6.67,
"IRN_Ganj_Dareh_N": 5,
"closestDistances": [
"Simulated_AASI:Averaged: 17.17574",
"LAO_LN_BA:undefined: 27.52283",
"IRN_Ganj_Dareh_N:undefined: 44.26907",
"Yamnaya_BGR:undefined: 47.01895"
Now replacing Ganj Dareh with Parkhai MBA instead and the Western admixture decreases a bit. The fit is still fine but a bit more distant.
"sample": "Test1:Bonda_-_ORI34",
"fit": 1.8943,
"Simulated_AASI_Averaged": 57.5,
"LAO_LN_BA": 32.5,
"Yamnaya_BGR": 6.67,
"TKM_Parkhai_MBA": 3.33,
"closestDistances": [
"Simulated_AASI_Averaged:undefined: 16.44500",
"LAO_LN_BA:undefined: 27.88733",
"TKM_Parkhai_MBA:undefined: 45.84193",
"Yamnaya_BGR:undefined: 47.74943"
]
"sample": "Test2:Bonda_-_ORI35",
"fit": 2.0919,
"Simulated_AASI_Averaged": 55.83,
"LAO_LN_BA": 32.5,
"Yamnaya_BGR": 7.5,
"TKM_Parkhai_MBA": 4.17,
"closestDistances": [
"Simulated_AASI_Averaged:undefined: 17.17574",
"LAO_LN_BA:undefined: 27.52283",
"TKM_Parkhai_MBA:undefined: 45.35207",
"Yamnaya_BGR:undefined: 47.01895"
Here is the models for the average Bonda and Juang: using Simulated AASI_Average.
Note: There is only one Juang sample. More Juangs might be need for a more accurate look at their genomes.
Parkhai and Yamnaya is used to represent the proxy for Western affinity as usual. The average Bonda and Juang are now 56-57% AASI, 32-33% East Asian (Lao_LN_BA) and 10-12% Western admixed (Parkhai and Yamnaya).
"sample": "Test1:Bonda",
"fit": 1.7464,
"Simulated_AASI": 56.67,
"LAO_LN_BA": 31.67,
"TKM_Parkhai_Eneolithic": 5.83,
"Yamnaya_BGR": 5.83,
"closestDistances": [
"Simulated_AASI:Averaged: 16.94482",
"LAO_LN_BA:undefined: 27.57428",
"TKM_Parkhai_Eneolithic:undefined: 44.74623",
"Yamnaya_BGR:undefined: 47.20293"
"sample": "Test2:Juang",
"fit": 2.4843,
"Simulated_AASI": 55.83,
"LAO_LN_BA": 33.33,
"Yamnaya_BGR": 5.83,
"TKM_Parkhai_Eneolithic": 5,
"closestDistances": [
"Simulated_AASI:Averaged: 16.94778",
"LAO_LN_BA:undefined: 27.66927",
"TKM_Parkhai_Eneolithic:undefined: 45.11504",
"Yamnaya_BGR:undefined: 47.22725""
Now testing the same model using Simulated AASI by Matt instead. The fit is alright for the Bonda:Average but not for the Juang. Their AASI ancestry increase while there Mongoloid and Western affinity decreases again.
Now the average Bonda and Juang are now 61-63% AASI, 29% Mongoloid and 8-9% Western Eurasian.
"sample": "Test1:Bonda",
"fit": 1.9202,
"Simulated_AASI": 61.67,
"LAO_LN_BA": 29.17,
"TKM_Parkhai_Eneolithic": 5.83,
"Yamnaya_BGR": 3.33,
"closestDistances": [
"Simulated_AASI:By_Matt: 13.09694",
"LAO_LN_BA:undefined: 27.57428",
"TKM_Parkhai_Eneolithic:undefined: 44.74623",
"Yamnaya_BGR:undefined: 47.20293"
"sample": "Test2:Juang",
"fit": 2.7489,
"Simulated_AASI": 62.5,
"LAO_LN_BA": 29.17,
"Yamnaya_BGR": 5,
"TKM_Parkhai_Eneolithic": 3.33,
"closestDistances": [
"Simulated_AASI:By_Matt: 13.16223",
"LAO_LN_BA:undefined: 27.66927",
"TKM_Parkhai_Eneolithic:undefined: 45.11504",
"Yamnaya_BGR:undefined: 47.22725"
P.S.- The award is not going to go to Andamanese or most Tibeto-Burmans who are West Eurasian blood-free but are not really South Asians genetically....
The fact that the Bonda and Juang is predominantly East Eurasian/ENA and score only 7-11% Western admix is very impressive. Considering how most Indians/South Asians are at least 40-50% Caucasian/Western Eurasian admixed or more... I am very proud in how these tribes managed to keep themselves fairly genetically intact from the ancient Caucasoid invasions/intrusions into the Indian subcontinent which seem to have extremely successful massive impacts on the genetics of South Asian populations.
These guys are literally the reversed or East Eurasian version of the Baloch/Brahui/Makrani tho (those guys just have very little AASI instead). :cool:
But there was another modelling by DMXX on Anthrogenica where he managed to the Bonda and Juang literally zero almost close to zero Western Eurasian. I will show in it the next post.
I made a similar thread before but barely anyone notices or replies: https://www.theapricity.com/forum/showthread.php?289677-Global-K25-models-for-the-Munda-Part-1-Bonda-and-Juang
Maybe this is just very redundant? :confused: