Similarity rate with different ancient genomes


We're quite close on a lot of them, the more "Neolithic" related ones, but you have higher scores on Yamnaya type, Northern, and Northwestern scores, which makes sense since I'm half Tuscan like. The Italian cline is consistent. :)

What doesn't make sense to me is that you have higher scores in some things than either of your parents.
 
We're quite close on a lot of them, the more "Neolithic" related ones, but you have higher scores on Yamnaya type, Northern, and Northwestern scores, which makes sense since I'm half Tuscan like. The Italian cline is consistent. :)

What doesn't make sense to me is that you have higher scores in some things than either of your parents.
Yep. Based on Geneplaza, I'd risk to say it's an effect mainly of our little extra WHG.

Anyway I confess I couldn't look closer to my own results. Time is short, and the smartphone doesn't help. :) Can you please provide examples of these higher scores?
 
By Salento:
300 AD Germany (Roman Soldier) FN2

GedMatch ID: Z061309

I have compared the Z061309 kit with my own kit and I have obtained these results by choosing the calculators at random.
Z061309_EB4566HUNTERFARMER.jpeg

https://4.bp.blogspot.com/-vG-J2k6c...CLcBGAs/s1600/Z061309_EB4566HUNTERFARMER.jpeg
Z061309_EB4566WORLD.jpeg

https://4.bp.blogspot.com/-7qTV4NHZ...42nEEKgCLcBGAs/s1600/Z061309_EB4566WORLD.jpeg
Z061309_EB4566k15.jpeg

https://3.bp.blogspot.com/-Jdl5NigB...KoCNh-5nQCLcBGAs/s1600/Z061309_EB4566k15.jpeg

Carlos. This is my comparsion with the same calculators that you used, except Eurogenes K13 :)

bQi88edue38RiXaysSCNMTEbMUL_lyoseaA7gZb5d7DZrMnb2XaHSgtM6CGqspV1hTgBDF98NlpRjmpCL-cH8fneNKdhln-QJ_kQSZTzGst-0lR723JLcDiW23q6P0g-XRP2zBvqno8uIHDxa2HXuAcPQa7Hxnua3XR6d_yboRripvISq1C1xpyZUaD2He0xE8Fhwn4RCX2BeHINCnBeYMMBfiWT6-ZRqW6ZrcGc8oiZ0-sJZuB5UUsSguwVH-UhRFvsm3tjQ5wtKhsuul-9dcJLcz-u30keFi3Q1IcBUjCqqA-DiC1_MCe5m5z_7sJxfhnX9TFms1NGpTfcxXnzj1wBMw7PnIh1BkcMti3469salIgcirgr-_GLkTQylOrIknVjKS-DIiqlDTPHw0JOVxboKQm99Ev0NBrj9H8W2x5m0dK4kzDcA5BOGQdUmGPRuhOO_p7hrI1_FdwV_8bDdraTziJiMh-NelyGQdFUAHFvKaD87-LPfsUcHyB8aC3NsOMT9G_zMs3Abq0kNXaXbFeclUgUv_9pEViUzaX4BlvtN2gQwmWfHlEM-w7AfcA6yeJxPO-ILokXXJNVsq7Aw5XUKxzUH0WDsXFUupYyv8MulWZ-fiZ6W62cm9uMtv2NCGZpIXAnoOCdWMTy-ftNVPtRIbUVme4=w840-h520-no

ozOWitPARBCf8VMRUrE9BLoIGndqbnthpUvJDgCWNdQ3gkEmFa_650mmE-osBTn4wN1dnBWh3J3iNUWUklvHzBtV40u6n_OHftpY53LrTaJI4Amm-xFW-WapCKlx2v7Dh5OYkkg1O6rANig01SjJ4mmFN5a2pubxHbIqvN6l0oHz-atcb9E-dvHD6PH23ALFopKkeOGWqmFX9W3hYfZ5ACytfHd3f-FzMPws3CAWSQg33NUpA2sEiiuoqUm-hHmO9MKyNrzCHqj3JDhIEpOc0kd3yIhRX7dMTkO8ECSSy4TlfRJeZaIiPg51rEqCRC6Az6XqD9KayqyPS093agz4RmtNu_YufIbh3aTYgmJCDNEhmtY_2ToUL8DJySK0LGWeOjz1l8DsT0qtB52QtLWqSKjTXqth2v5cOrJX6BDsBh9riRNwrYJnMHcpN42W2ZmwSCTtf-RkekhfneOqnuapBA5iQAY56MXkzj4_2qDKTHsJo6-JEh24fnxazgfG30fTZfi00MBuEIADcMwNpPQAv82pcqMsFm4TAb4xyXklFGJL7sbRSNriT6f21cVOWlCe4p0XDebANnfyP2kv0kuDrAYFDtPxjcZ7u_xPgChwakof-RN--Ii07ANP03LzvY6Ssi2jVnmyyF8rzQzjX-GHhrzTLr763uM=w844-h523-no

dWZAuSkWTZ6rlbjdJmIK9wrShevvPX-ElQ_pD5rteNNdW_IgNWwwIVZn8K4aDS9iJdlBrQg0mYNrY3yIovFAsC8TwkHQYScLf5xMSps_9nAvWZOys3Zu1nvlOkMzR_Og8tJ7XWXfZDXSuKcAkrxc4J8n0O1AiO5SWTeoE40m3b6_b_H-FfcKElf6bxMiNK_V8_aZcYNU7JdFe9B-tkyEWATLU855T9w3uAIE9yoEboSyujVXilNuRPcleNIDU71NDubvvq9pvntJmbbW9J4wbDJPBvsFtoHjKsEDZvqS-zti33vOmpDygSkuT4itgARLbin1K9dWM-FVY89lWVNI0S3dANARjcg6uXjQL0odLuFe8E-NiaDgTIJYwYD3YEiDcm-a-VYqrGPaTCa5xfP9OzpfFyVcKBP6-qKxoafi2-q-urYOJXJkF0N2HuKIjRNklzuLd8D3cRulAmjHiUI-vFXjdw7OvshoOga84bW3rJzVvOeaymEJ0LEgRaTVOhJofWmrhXw4CF-NrCQVkf4XU266pmoWacKZ8zqsQwg8OxLSzgcuSLX8x3NZZ1N-PbN8Ww78st-oKcS6sCj9GjWqpcrJ0UXXk6DZ42qTaey7qL1YkUUVi21juzYxPcXtHTJvwpzx_yuhpK1eIkN281SWHhb2trrbxS4=w843-h530-no

Xv_rp7CifHbNovFV8NxBy_5zp1NrGzxQdyq1Iff_dH814yJ85GxbNfFHQOYG4Vfhem1RsFDkdh90TToB8i8mxZr8bBWaUW_nbUWAGY9Nd3frIwUYRFmfpwd345hU1tNfsl1uTwZDGaUF9bMng9JIu2W2vraY5dnCfLJYxD-Zmj5p3_W5m8AZonicntUS0ngSlljK7IBiL1UhHRXfyzjdJyNbwCkj97CdMXU1LLeyv-b67iYBeFb7miLtctd5UHpCG2PLPtcakp1a82k9GYtZgH7zJ2yGqvvYJvpLFUe_U-mzD7zdgY8H7PFRmSSw_PvM3NnUHfrt69QfdKvnsHFlntFOAUPhZMvzG9QX1GhJaqo-nIjOs_hZAPdwqje3DPTN6O0jEisASce1JQMfiVvi5BD_upgeFU_szwzS1rT6tJNGPFlVlfu7RbtIKvESI7c9YXZfxwURRPqVYNVgu7gCYZxv33f_Xf1D-ItslfYWyIlpe8HPFNM5JDej-mNaylb4LkAkYrtEmaMmaCGAjg3cXkijmGAh4nS8U93i4ACy_VYX_zK_UeCYxVd9mAWfE4OMcr2ojNTZZBjAeJ_tbw-OrHilC-CyIUfT45PotejbFdU1oR6lp6OR4jY0kE2_Rl6mmQGD5jVZ1-PLxw6cxKRxeVZT2GrhvYE=w841-h524-no
 
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Yep. Based on Geneplaza, I'd risk to say it's an effect mainly of our little extra WHG.

Anyway I confess I couldn't look closer to my own results. Time is short, and the smartphone doesn't help. :) Can you please provide examples of these higher scores?

Here's 5: You/Me

Yamnaya Potapovka: 45/34
Denmark Rise 61 : 53/41
Poland: 54/40

Gladiator 18: 56/49
Sintashta Rise 392: 41/29
 
It's funny how most of you ethnic Italians seems to have more match with Neolithic Europe, Mediterranean Metal Ages and Mediterranea in general. While i have huge matches with something Bell Beaker ancestry. But on the K36, my biggest score of like 18.something is Italy. How's that translating in real hypothesis?

There are 2 results for Switzerland, What's your score in both?
I get a difference of 17 points between the two:
66 - 49

WWhGpQs.jpg
 
Very similar Duarte. We have found that relative who went to war and never heard from him and thousands of years later we have received news, he died in distant lands. Rest in peace.

Z061309_SQ3125703_EB4566BERINGIAN.gif

I have done this oldest check.
 
We're quite close on a lot of them, the more "Neolithic" related ones, but you have higher scores on Yamnaya type, Northern, and Northwestern scores, which makes sense since I'm half Tuscan like. The Italian cline is consistent. :)

What doesn't make sense to me is that you have higher scores in some things than either of your parents.

I think the differences that are between raw data are sometimes elevated because the kind of SNPs they're genotyping happens to be detected more frequently than others. Which is why I think there are the subtle differences when the SNP count is elevated. Though I've observed that they are very minor. Which means they do have the technology to read a lot out of a fewer targeted ones, and be highly accurate.

Nevertheless, I sort of have a hobby goal to combine the raw data files from all of the compatible versions, for DNAkit studio. Because for the ancient samples, many of them on GEDMatch are about over 160k snps that are readable for Dodecad K12b. Mine is currently at 155K I recall. I only have two other tests I haven't done, that are compatible with DNAkit Studio, which should put me at that 160k mark. They're FTDNA, and MyHeritage, which I care very little for. But I'm interested in the raw data they can provide. I don't know much about FTDNA to have an opinion, but I do think MyHeritage is a terrible test. However, I'm not willing to spend money on that, so I'm just waiting till I get enough amazon gift card points, and look for a sale. I know the results will be show an extremely marginal change, but I think it would be fun to see nonetheless.
 
There are 2 results for Switzerland, What's your score in both?
I get a difference of 17 points between the two:
66 - 49

WWhGpQs.jpg

The 66 is probably the Ticino, whose people are pretty much Lombards. The 49 is German speaking Switzerland.
 
Very similar Duarte. We have found that relative who went to war and never heard from him and thousands of years later we have received news, he died in distant lands. Rest in peace.

Unless he decided to stay in Germany.
“Some” say that Iberian Women are very possessive. lol

11ewEsb.jpg
 
The 66 is probably the Ticino, whose people are pretty much Lombards. The 49 is German speaking Switzerland.

Thanks Angela, (I’ve run out of votes).
 
Unless he decided to stay in Germany.
“Some” say that Iberian Women are very possessive. lol

11ewEsb.jpg

LOL. Yes, they may be very possessive. But I think that Lady Cheddary, an ancient and traditional English lady, was more possessive :))
 
Here's 5: You/Me
Yamnaya Potapovka: 45/34
Denmark Rise 61 : 53/41
Poland: 54/40
Gladiator 18: 56/49
Sintashta Rise 392: 41/29
I was referring to higher scores compared to my parents. I should have been more specific. My bad.
Well, I think it's not odd to have higher -
or lower - scores than both. It would be strange having more than the sum of both, yes, or having too few - depending on how much they get, of course.
 
Unless he decided to stay in Germany.
“Some” say that Iberian Women are very possessive. lol

11ewEsb.jpg

The iberians womans only?

He stayed and then came back somehow. The Iberians take very badly live away from Iberia, the Galicians call it "morriña" Feel sadness or grief that is felt to be away from the homeland or the people or places you love, in this inter-millennial case.
 
There are 2 results for Switzerland, What's your score in both?
I get a difference of 17 points between the two:
66 - 49

WWhGpQs.jpg

I dont know where your map is going from and how to implemente my results in them, can you help me?
 
Also there was another tool of 'Where your ancestors were living 10,000 years ago', and also 4,500 years ago, the last one was really neat, giving me 60% Indo-European invader, 25% Neolithic farmer, 10% Anatolian Copper Age migrant, and 5% Hunter-gatherer
 
Also there was another tool of 'Where your ancestors were living 10,000 years ago', and also 4,500 years ago, the last one was really neat, giving me 60% Indo-European invader, 25% Neolithic farmer, 10% Anatolian Copper Age migrant, and 5% Hunter-gatherer

Wow, that much steppe?
 
My match.
Similarity rate with different populations GEDmatch Eurogenes 36 - modern map.

j8iUSe8PXQ2pkq2jm_mLGe2-8J2XRWmMLkItcRUKlXoKn8Wa8r85eMPqhl_gzfZrcQ7xWjrBW7itWxIWpe-_x5HF8tYEFYzEcMJ1Kl9tvCmXvHlPA4qQHbZDhsXV9Rsz0tT5YFZv_p0yhJwUy-drAeIeHHVE9nibx3TWuAcxAS5msAh1BPOxhPvsJ_lYowM1upGwAsU0T7TQlbz3boTFrJNK3oV-nk3DzNT0fnn4xILwnZVLFCT9eHltd8ffUuq1q_Ni1p8p4FAW7tX_HUebzg_sknmLooIe7UHLVUvH1l2ZpTvoXKSstEt98-W1gGRvox9alpCdbdTpy8FHnfPH9qowfI7cMSFJtW69eAy6xCSw0ED3oUFXaqvxV0nFM3FuXLg-uF031QK-5FoggFsCTcdmeClWA49wFk-c9sVO7IUkeVVMjgf6-9kHwEGxUupMBdGC7WSXVRJRmC7qmg-sT0DNUChXwG0Sppjg36vRNPC_ABgqPlO7da9yqbUhDa1Cn1R4Ib_FnyOKIxlMSFzUMC4QTzXHwcBhr_Pak1uW1rlblzr-p2vMgiqedWY3NB1kp29qlqARFgzkHe7RVHvhHUembiJHwk8gGqvdOfDVHPG6MVBrzdd30pCMs3eEV9Qmc0bJnHIdbd_ZFypST_kKtFq2KPteAh4=w939-h838-no


hsh9YVMLLqpC2NT3l-fYKZeOY8Gst4T9s5uWC3-g1T-ld9wLP1rXl33JWihsGny36s5Fxu-ywlVrA5Ywr8730vLZLDXJE3vwIfAzDKKdMVTosg6TFWtSj3A1o3kSqhjVsytU03f6HLdlScRBCgW3l6Afzy-oBwoHwHquV9U7iFxEOmYkmDMB94I2Fy7JZk7hS0wuoLsXaOiw5-pBiDV7J2n7t_CRF0e3EoZ2LlMB65hNjVUgjiX3utEdmfCZn2BvDkmJw1dw8N4-C-fs41ykUkgV9ExatKqMIkfyf6tx0DTLEtuU0Ukzn7borXxsuq363c6KAbwaInpvhw-KscVh-s_8W1H1hW5Cv73r_QqjWYun7QdVV83mBOF5FFkbif_cOQA-C_rkdNEgr5Bu5eGXYjabvdKj32AJfvPsivQhs-LTyiP-8Zqh9CdpBVxvI6Qqsc1GHB1DCOvRfABU-qMHyiy008qh0JO5-XJ-zjXOl9DuUcy1i51iBqrLaYCdSFzxpbldeacvFjmNR89hh1-yaRugd55e0wfolko5jSEuzMr1BNH5baLRCKtuez1LKGDI62Ox40kCoLtSnCtAmfR4JKJWsXWiynDA06pjQH6GgXEForf15uWaHqU9sWWlglvh1asU7ns1F8dqJJe6YFQYy8nZ-XjJKxY=w939-h838-no
 
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