Helps to interpret this g25 results from mixed person from 2 pop.

[Ahaddad]

This person is mixing of 2 pop, help to guess what admix he fit better? I'm so bad to Understand new tolls since vahaduo finish site.



Person_scaled,0.09250306663200017,0.135988194375,-0.013744439046799978,-0.042700818656999845,0.003887163715000019,-0.014923673358840008,-0.0021174903260000356,-0.004380021461999888,0.004778963285999777,0.013367 234681000054,0.0027135223826040005,0.0011089192570 000218,-0.000717915070000014,-0.004524171263999732,-0.00033408818300000725,0.0022185548389999296,-0.00016221842300009892,0.001140465496000033,-0.0002277938819999891,-0.002102081883600005,-0.0015880271700003251,0.0003752033569999272,-0.000603159825000029,0.000011278561000020726,-0.00012599315800028432

[Ahaddad]

For example one way to see what first 2 pop appear in this coordinates.

[lockdownboredom]

Is this what you are after?

Distance to: Person_scaled
0.00700818 64.20% Lebanese_Muslim + 35.80% Spanish_Penedes
0.00747239 56.80% Italian_Umbria + 43.20% Syrian
0.00796006 64.20% Lebanese_Muslim + 35.80% Spanish_Girona
0.00798666 63.80% Lebanese_Muslim + 36.20% Spanish_Camp_de_Tarragona
0.00808345 62.60% Lebanese_Muslim + 37.40% Spanish_Baleares
0.00818850 52.20% Italian_Tuscany + 47.80% Syrian
0.00819024 62.60% Lebanese_Muslim + 37.40% Spanish_Mallorca
0.00831177 47.40% French_Corsica + 52.60% Syrian
0.00845628 64.80% Lebanese_Muslim + 35.20% Spanish_Lleida
0.00854417 65.20% Lebanese_Muslim + 34.80% Spanish_Catalunya_Central
0.00861059 65.80% Lebanese_Muslim + 34.20% Spanish_Cantabria
0.00869762 64.20% Lebanese_Muslim + 35.80% Spanish_Peri-Barcelona
0.00870067 64.00% Lebanese_Muslim + 36.00% Spanish_Terres_de_l'Ebre
0.00876238 62.80% Lebanese_Muslim + 37.20% Spanish_Alacant
0.00882871 57.00% Italian_Marche + 43.00% Syrian
0.00894885 61.80% Lebanese_Muslim + 38.20% Spanish_Eivissa
0.00898836 48.20% Italian_Piedmont + 51.80% Syrian
0.00899493 65.00% Lebanese_Muslim + 35.00% Spanish_Aragon
0.00904905 65.20% Lebanese_Muslim + 34.80% Spanish_Pirineu
0.00908876 36.40% Iraqi + 63.60% Italian_Umbria
0.00913605 65.00% Lebanese_Muslim + 35.00% Spanish_Castello
0.00924394 64.20% Lebanese_Muslim + 35.80% Spanish_Valencia
0.00940215 33.80% French_Auvergne + 66.20% Lebanese_Muslim
0.00950091 37.40% French_Provence + 62.60% Lebanese_Muslim
0.00952916 63.40% Lebanese_Muslim + 36.60% Spanish_Castilla_La_Mancha

[Ahaddad]

Is this what you are after?

Distance to: Person_scaled
0.00700818 64.20% Lebanese_Muslim + 35.80% Spanish_Penedes
0.00747239 56.80% Italian_Umbria + 43.20% Syrian
0.00796006 64.20% Lebanese_Muslim + 35.80% Spanish_Girona
0.00798666 63.80% Lebanese_Muslim + 36.20% Spanish_Camp_de_Tarragona
0.00808345 62.60% Lebanese_Muslim + 37.40% Spanish_Baleares
0.00818850 52.20% Italian_Tuscany + 47.80% Syrian
0.00819024 62.60% Lebanese_Muslim + 37.40% Spanish_Mallorca
0.00831177 47.40% French_Corsica + 52.60% Syrian
0.00845628 64.80% Lebanese_Muslim + 35.20% Spanish_Lleida
0.00854417 65.20% Lebanese_Muslim + 34.80% Spanish_Catalunya_Central
0.00861059 65.80% Lebanese_Muslim + 34.20% Spanish_Cantabria
0.00869762 64.20% Lebanese_Muslim + 35.80% Spanish_Peri-Barcelona
0.00870067 64.00% Lebanese_Muslim + 36.00% Spanish_Terres_de_l'Ebre
0.00876238 62.80% Lebanese_Muslim + 37.20% Spanish_Alacant
0.00882871 57.00% Italian_Marche + 43.00% Syrian
0.00894885 61.80% Lebanese_Muslim + 38.20% Spanish_Eivissa
0.00898836 48.20% Italian_Piedmont + 51.80% Syrian
0.00899493 65.00% Lebanese_Muslim + 35.00% Spanish_Aragon
0.00904905 65.20% Lebanese_Muslim + 34.80% Spanish_Pirineu
0.00908876 36.40% Iraqi + 63.60% Italian_Umbria
0.00913605 65.00% Lebanese_Muslim + 35.00% Spanish_Castello
0.00924394 64.20% Lebanese_Muslim + 35.80% Spanish_Valencia
0.00940215 33.80% French_Auvergne + 66.20% Lebanese_Muslim
0.00950091 37.40% French_Provence + 62.60% Lebanese_Muslim
0.00952916 63.40% Lebanese_Muslim + 36.60% Spanish_Castilla_La_Mancha

This is average pop?

[JamesBond007]

This is average pop?

What ? Are you mentally retarded ? G25 is probably too fine-grained for modern populations but more importantly the modern populations datasheet is garbage (GIGO) Garbage in garbage out.



I'm about to phase out the use of the Global25 datasheets with modern-day samples. In large part, this move is due to the uncertainty about the populations that these individuals represent and the resulting (often idiotic) discussions here and elsewhere about their usefulness.

This uncertainly exists because many, perhaps most, of these people are classified based on their self identity, which may or may not reflect their genetic origins.


WotAugust 18, 2020 at 2:38 AM

Of the current existing modern data, how much can be salvaged based on the criteria you use?

DavidskiAugust 18, 2020 at 2:44 AM

None, because all of these samples are from the living.

We have to shift the focus to ancient samples, and if users are interested in more recent ancestry, then they should focus on the Iron Age and Medieval periods.

There will be a lot of samples available from the Middle Ages soon, so this won't be a problem.


YmirAugust 18, 2020 at 3:22 AM

If G25 coordinates in the future will be still compatible with modern (not-updated) sheets?

DavidskiAugust 18, 2020 at 3:26 AM

Yes, the old and new datasheets will all be compatible with each other, but I won't be linking to the current modern datasheets.

https://eurogenes.blogspot.com/2020/08/housekeeping-stuff.html?m=1

[JerryS.]

For people that are regionally mixed I think it's best to use vetted individual samples from modern people from regions of one's own ethnic mix.