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The Moriopoulos Collection for Valentine's Day 2024 is here!

All Averages (5156 Averages based on >30,000 individual samples): https://drive.google.com/file/d/1lrjwkCP...ArJ72/view
No Sims (4778 Averages based on ~28,000 individual samples): https://drive.google.com/file/d/1nyv7iDo...E1r7U/view
Moderns Only (sims included; some have asked for this so I have obliged): https://drive.google.com/file/d/15Lol0em...BLlM7/view
You mean 2024. Smile Thank you for your great work!
Very much thanks Michal. I don't do G25 modeling a lot (so not sure if anyone else would find such a feature useful), but every time I do I wish there was an option to 'sort by date' so I can remove sources that post-date the target. Taking a quick scroll through the list of averages, I think I can tell which are modern, alot of them have dates appended to the end of the population name, but there's also a good number that don't have dates and I don't recognize. Anyways if anyone else wishes there was a way to sort by date, I'm willing to work on that for the 80-90% of populations I can figure out, someone will just have to fill in the blanks.
Thank you for your kindness for thinking of sharing your update, good job
Thanks so much!

Could you tell me the dates of this 2?

Code:
USA_New_Mexico_Chaco_Anasazi,0.048375,-0.303643,0.112759,0.098677,-0.108174,-0.006275,-0.2487585,-0.3076025,-0.0099195,-0.0186795,-0.008444,0.0040465,0.0034195,0.016446,-0.0114005,0.0048395,0.0104305,-0.0060175,-0.003017,-0.0043145,-0.0058645,-0.005564,0.0153445,-0.0077115,-0.0017365

USA_New_Mexico_Chaco_Anasazi_(low_res),0.043253,-0.31583,0.120301,0.081073,-0.115714,-0.029005,-0.256162,-0.315448,-0.015748,-0.016583,-0.000162,0.004496,0.001487,0.020093,-0.005293,0.011138,0.002608,0.005574,0.00993,0.010255,-0.005989,0.007048,0.001972,0.005422,0.003952


And do you have the individuals (Unscaled) of these one that could you send to me? If there is no problem ofc.

Code:
Cameroonian_Bantu,-0.6280987,0.06278,0.0190824,0.01806862,0.00026466,0.0111222,-0.01552494,0.02251742,-0.03295292,0.01897802,0.00306264,-0.00383058,-0.00073432,0.00078988,-0.0041856,0.00353748,-0.00354896,0.00127956,-0.00120418,0.00226108,0.00065128,0.00028444,-0.00006402,0.00018076,-0.00137948
(02-15-2024, 02:08 AM)Jalisciense Wrote: [ -> ]Thanks so much!

Could you tell me the dates of this 2?

Code:
USA_New_Mexico_Chaco_Anasazi,0.048375,-0.303643,0.112759,0.098677,-0.108174,-0.006275,-0.2487585,-0.3076025,-0.0099195,-0.0186795,-0.008444,0.0040465,0.0034195,0.016446,-0.0114005,0.0048395,0.0104305,-0.0060175,-0.003017,-0.0043145,-0.0058645,-0.005564,0.0153445,-0.0077115,-0.0017365

USA_New_Mexico_Chaco_Anasazi_(low_res),0.043253,-0.31583,0.120301,0.081073,-0.115714,-0.029005,-0.256162,-0.315448,-0.015748,-0.016583,-0.000162,0.004496,0.001487,0.020093,-0.005293,0.011138,0.002608,0.005574,0.00993,0.010255,-0.005989,0.007048,0.001972,0.005422,0.003952


And do you have the individuals (Unscaled) of these one that could you send to me? If there is no problem ofc.

Code:
Cameroonian_Bantu,-0.6280987,0.06278,0.0190824,0.01806862,0.00026466,0.0111222,-0.01552494,0.02251742,-0.03295292,0.01897802,0.00306264,-0.00383058,-0.00073432,0.00078988,-0.0041856,0.00353748,-0.00354896,0.00127956,-0.00120418,0.00226108,0.00065128,0.00028444,-0.00006402,0.00018076,-0.00137948

You can to have the unscaled with Genoplot: choose "add sample", put the scaled corrdinates and automatically you will have the unscaled coordinates
Too much to do from my phone.
Is there a modern individuals only model? No sims no averages no ancients?
(02-15-2024, 02:08 AM)Jalisciense Wrote: [ -> ]Thanks so much!

Could you tell me the dates of this 2?

The Anasazi samples date ~900-1200 CE.

I don't keep unscaled coords myself but I know there are ways to convert scaled to unscaled out there if you just take a look around.

(02-15-2024, 04:50 PM)JerryS Wrote: [ -> ]Too much to do from my phone.
Is there a modern individuals only model? No sims no averages no ancients?

Nah,I just threw the moderns only list in there as an extra for people who like to do that. Truthfully anyone could make their own moderns only list from the no sims file if they wanted to-- I just don't have the time to create every permutation.

But yeah, they're all averages. It wouldn't be prudent for me to release individuals; too many private samples that I'd rather not just put out there without permission.
(02-14-2024, 08:11 AM)Michalis Moriakos Wrote: [ -> ]The Moriopoulos Collection for Valentine's Day 2024 is here!

All Averages (5156 Averages based on >30,000 individual samples): https://drive.google.com/file/d/1lrjwkCP...ArJ72/view
No Sims (4778 Averages based on ~28,000 individual samples): https://drive.google.com/file/d/1nyv7iDo...E1r7U/view
Moderns Only (sims included; some have asked for this so I have obliged): https://drive.google.com/file/d/15Lol0em...BLlM7/view

Thank you very much for your hard work!

Just want to ask, how many individuals were used to create the Tunisian Sfax and Moroccan Fassi averages respectively? Asking because this new Tunisian Sfax average seem slightly less West Eurasian than the previous one.
(02-19-2024, 07:09 AM)Whyismylifesodull Wrote: [ -> ]Just want to ask, how many individuals were used to create the Tunisian Sfax and Moroccan Fassi averages respectively? Asking because this new Tunisian Sfax average seem slightly less West Eurasian than the previous one.

Five samples for Sfax and four for the Fassi.

I don't know if the Sfax samples come from the city itself or just the Sfax governorate.
(02-19-2024, 07:47 AM)Michalis Moriakos Wrote: [ -> ]
(02-19-2024, 07:09 AM)Whyismylifesodull Wrote: [ -> ]Just want to ask, how many individuals were used to create the Tunisian Sfax and Moroccan Fassi averages respectively? Asking because this new Tunisian Sfax average seem slightly less West Eurasian than the previous one.

Five samples for Sfax and four for the Fassi.

I don't know if the Sfax samples come from the city itself or just the Sfax governorate.

Another question: are these academic samples or from gedmatch users?
[quote pid="11023" dateline="1708326591"]
Just want to ask, how many individuals were used to create the ... averages respectively?
[/quote]

An information how many samples were used to create the averages would be indeed very useful. Not sure if it can be included retroactively, but if possible would be a major upgrade. Maybe it can be done for future average updates.
(02-19-2024, 01:42 PM)ChrisR Wrote: [ -> ]An information how many samples were used to create the averages would be indeed very useful. Not sure if it can be included retroactively, but if possible would be a major upgrade. Maybe it can be done for future average updates.

I posted an instances list in the AG Discord. I haven't had time to upload it anywhere else yet.
Thanks a lot dude for your great work done
In case it isn't obvious, the samples are sorted into 14 geographic regions: Southern Africa, Central Africa, West Africa, East Africa, Oceania, East Asia, Siberia, Central Asia, South Asia, Americas, Europe, Ciscaucasia, West Asia, and North Africa. These aren't genetic categories; I chose that arrangement because it's a pretty easy and objective way to organize samples. Ciscaucasia is technically in Europe but North Caucasians are so genetically distinctive from other Europeans it was most attractive to give them their own category. If a particular group was present in a region before ~1500, it's assigned to that region. If it came into a region after ~1500 it's assigned to the region from which it originated (e.g., Kalmyks are assigned to Central Asia instead of Europe because they migrated to Russia from Dzungaria in the 1600s). Ancient samples are usually assigned to the region where they were buried but if it's clear or probable that they or their ancestors were recent immigrants from another region then they are assigned to that area instead (e.g., Punic-clustering samples in Italy are assigned to North Africa).

I do have lots of modern era diasporan samples (e.g., African Americans, Afrikaaners, Brazilians, etc.), but most of them are excluded from the list because the focus is on pre-modern genetic variation.
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