Post your closest fit from 4 populations scaled G25

[JamesBond007]

The objective : using only the free 4 populations reference populations try to get the closest fit to your scaled G25 coordinates. This may involve trial and error experimentation on your part and deductive reasoning powers :

http://185.144.156.77:3000/

[
{
"sample": "Custom:Kevin_scaled",
"fit": 1.3168,
"Dutch": 45,
"Irish": 38.33,
"German": 10,
"English": 6.67,
"closestDistances": [
"Irish:Irish26: 2.479753",
"Irish:Irish62: 2.799287",
"English:England15: 2.867120",
"English:English6: 2.929639"
etc...

[Pine]

[
{
"sample": "Custom:me_scaled",
"fit": 0.8826,
"Ashkenazi_Jew": 53.33,
"Romaniote_Jew": 44.17,
"Indonesian_Java": 1.67,
"Iraqi_Jew": 0.83,
"closestDistances": [
"Ashkenazi_Jew:ashkenazy4w: 2.109299",
"Ashkenazi_Jew:ashkenazy3w: 2.167487",
"Romaniote_Jew:Romaniote2: 2.211403",
"Ashkenazi_Jew:ashkenazy3e: 2.234214",
"Ashkenazi_Jew:ashkenazy1e: 2.729972",
"Ashkenazi_Jew:ashkenazy2w: 2.802707",
"Romaniote_Jew:Romaniote5: 2.959386",
"Ashkenazi_Jew:ashkenazy5e: 2.968303",
"Ashkenazi_Jew:ashkenazy7e: 3.200509",
"Romaniote_Jew:Romaniote6: 3.636245",
"Romaniote_Jew:Romaniote4: 3.649773",
"Romaniote_Jew:Romaniote1: 3.813309",
"Romaniote_Jew:Romaniote3: 4.023906",
"Romaniote_Jew:Romaniote7: 4.432107",
"Iraqi_Jew:IraqiJew1771: 7.153176",
"Iraqi_Jew:IraqiJew1430: 7.302839",
"Iraqi_Jew:IraqiJew1417: 7.588918",
"Iraqi_Jew:IraqiJew4241: 7.672913",
"Iraqi_Jew:IraqiJew4061: 8.287093",
"Iraqi_Jew:IraqiJew4291: 8.497120",
"Indonesian_Java:GRC10041184: 56.381534",
"Indonesian_Java:GRC10041225: 56.746182",
"Indonesian_Java:GRC10041183: 56.971030",
"Indonesian_Java:GRC10041186: 57.121972",
"Indonesian_Java:GRC10041218: 57.178714",
"Indonesian_Java:GRC10041232: 57.240595",
"Indonesian_Java:GRC10041231: 57.266111",
"Indonesian_Java:GRC10041224: 57.305415",
"Indonesian_Java:GRC10041222: 57.364708",
"Indonesian_Java:GRC10041226: 57.393846",
"Indonesian_Java:GRC10041217: 57.408741",
"Indonesian_Java:GRC10041221: 57.565957",
"Indonesian_Java:GRC10041230: 57.584968",
"Indonesian_Java:GRC10041227: 57.643145",
"Indonesian_Java:GRC10041228: 57.756516",
"Indonesian_Java:GRC10041185: 57.867624",
"Indonesian_Java:GRC10041220: 57.923625",
"Indonesian_Java:GRC10041182: 57.961691",
"Indonesian_Java:GRC10041223: 57.994252",
"Indonesian_Java:GRC10041233: 58.025864",
"Indonesian_Java:GRC10041235: 58.162739"
]
}
]

[Pedro Ruben]

"sample": "Custom: Pedro_scaled",
"fit": 0.9457
"Portuguese": 54.17,
"German": 31.67,
"Moroccan_North": 12.5,
"Bantu_S.W.": 1.67

[firemonkey]

Define 'closest'. I know the optimal range is 0.5 to 1.0, but which is closest? Nearer to 0.5 or nearer to 1.0?

[Thambi]

"fit": 1.8258,
"Gujarat_Patel": 65,
"Paniya": 15,
"Balochi": 10,
"Bengali_Bangladesh": 10,

[firemonkey]

There is no definition of closest. Therefore it is impossible to say .

[Thracian]

PEN=0.001

"sample": "Custom:AGUser_Thracian",
"fit": 1.1392,
"Italian_Abruzzo": 54.17,
"Ukrainian": 22.5,
"Iranian_Fars": 17.5,
"Turkmen": 5.83,

PEN=0

"sample": "Custom:AGUser_Thracian",
"fit": 1.3855,
"Bulgarian": 41.67,
"Greek": 35.83,
"Iranian_Fars": 13.33,
"Turkmen": 9.17,

[Lucas]

[
{
"sample": "Custom:me_scaled",
"fit": 0.8826,
"Ashkenazi_Jew": 53.33,
"Romaniote_Jew": 44.17,
"Indonesian_Java": 1.67,
"Iraqi_Jew": 0.83,

}
]

Really Indonesia was must have? |Or you have some East-Asian noise?

[Grace O'Malley]

This is the closest I've been able to get using 4 populations.

"sample": "Grace",
"fit": 0.7616,
"Irish": 51.67,
"Icelandic": 24.17,
"Dutch": 15,
"Scottish": 9.17,
"closestDistances": [
"Icelandic:NA15765: 2.080582",
"Irish:Irish44: 2.233404",
"Irish:Irish50: 2.239239",
"Irish:Irish51: 2.245942",
"Scottish:Scottish15: 2.363597",
"Icelandic:NA15759: 2.425417",
"Icelandic:NA15766: 2.439838",
"Irish:Irish54: 2.473368",
"Irish:Irish2: 2.477843",
"Scottish:Scottish12: 2.480962",
"Scottish:Scottish9: 2.511043",
"Scottish:Scottish18: 2.511240",
"Scottish:Scottish24: 2.526315",
"Irish:Irish57: 2.533424",
"Irish:Irish53: 2.594039",
"Scottish:Scottish27: 2.667206",
"Scottish:Scottish6: 2.721786",
"Icelandic:NA15764: 2.728514",
"Irish:Irish60: 2.730778",
"Irish:Irish39: 2.731432",
"Scottish:Scottish1: 2.745208",
"Irish:Irish61: 2.761757",
"Irish:Irish55: 2.767165",
"Icelandic:NA15758: 2.776704",
"Irish:Irish56: 2.798328",
"Irish:Irish5: 2.818282",
"Irish:Irish41: 2.839223",
"Scottish:Scottish22: 2.858983",
"Irish:Irish62: 2.871864",
"Irish:Irish37: 2.920747",
"Scottish:Scottish21: 2.925088",
"Scottish:Scottish2: 2.925652",
"Irish:Irish64: 2.957500",
"Scottish:Scottish17: 2.973337",
"Scottish:Scottish13: 2.982566",
"Dutch:Netherlands11: 3.001185",
"Icelandic:NA15763: 3.037973",
"Irish:Irish52: 3.057757",
"Irish:Irish59: 3.064630",
"Irish:Irish48: 3.071621",
"Scottish:Scottish5: 3.072874",
"Scottish:Scottish19: 3.079553",
"Scottish:Scottish8: 3.124643",
"Scottish:Scottish26: 3.162382",
"Irish:Irish42: 3.170926",
"Irish:Irish12: 3.183124",
"Irish:Irish47: 3.186715",
"Irish:Irish25: 3.191253",
"Icelandic:NA15757: 3.195261",
"Irish:Irish21: 3.197642",
"Scottish:Scottish25: 3.203053",
"Irish:Irish19: 3.208468",
"Irish:Irish31: 3.215610",
"Scottish:Scottish7: 3.217665",
"Icelandic:NA15756: 3.219018",
"Dutch:Netherlands21: 3.228962",
"Irish:Irish65: 3.253275",
"Dutch:Netherlands63: 3.254853",
"Dutch:Netherlands44: 3.257496",
"Icelandic:NA15760: 3.258284",
"Scottish:Scottish14: 3.261574",
"Scottish:Scottish16: 3.262118",
"Irish:Irish58: 3.263703",
"Irish:Irish46: 3.288452",
"Dutch:Netherlands36: 3.291868",
"Icelandic:NA15755: 3.318604",
"Irish:Irish63: 3.323017",
"Irish:Irish43: 3.326401",
"Irish:Irish33: 3.345647",
"Irish:Irish32: 3.362687",
"Scottish:Scottish3: 3.371314",
"Irish:Irish34: 3.378018",
"Dutch:Netherlands7: 3.402480",
"Irish:Irish3: 3.407206",
"Irish:Irish10: 3.411162",
"Icelandic:NA15762: 3.452413",
"Icelandic:NA15761: 3.462705",
"Dutch:Netherlands9: 3.475540",
"Irish:Irish24: 3.476990",
"Scottish:Scottish10: 3.497385",
"Irish:Irish4: 3.501537",
"Dutch:Netherlands23: 3.519436",
"Irish:Irish15: 3.520315",
"Irish:Irish36: 3.529459",
"Irish:Irish29: 3.536722",
"Dutch:Netherlands14: 3.557626",
"Irish:Irish8: 3.576579",
"Irish:Irish13: 3.592370",
"Dutch:Netherlands53: 3.599491",
"Scottish:Scottish20: 3.617719",
"Irish:Irish40: 3.624813",
"Irish:Irish18: 3.649464",
"Scottish:Scottish28: 3.655513",
"Dutch:Netherlands22: 3.675757",
"Dutch:Netherlands60: 3.679653",
"Dutch:Netherlands3: 3.717989",
"Scottish:Scottish23: 3.731383",
"Dutch:Netherlands12: 3.736179",
"Dutch:Netherlands42: 3.739889",
"Irish:Irish28: 3.740560"

[Pine]

Really Indonesia was must have? |Or you have some East-Asian noise?

Must have from experience. Of course, I'm not aware of any east asian ancestry.

[Pine]

Really Indonesia was must have? |Or you have some East-Asian noise?

double

[Luke35]

Interestingly, Tajik (Turkmen works as well) always improves my fit and I always get a little higher than noise level.

"fit": 0.3531,
"Dutch": 47.5,
"Montenegrin": 28.33,
"Hungarian": 20,
"Tajik_Yagnobi": 4.17,
"closestDistances": [
"Hungarian:NA15201: 2.572461",
"Hungarian:HungarianE5: 2.679384",
"Hungarian:NA15206: 2.777683",
"Dutch:Netherlands33: 3.048034",
"Hungarian:NA15202: 3.140472",
"Dutch:Netherlands18: 3.306601",
"Hungarian:NA15208: 3.341680",
"Montenegrin:Montenegro5: 3.346509",

[Coastal Elite]

"sample": "Custom: DacoCeltic_scaled",

"fit": 0.9221,
"French": 46.67,
"German": 25,
"Bulgarian": 14.17,
"Romanian": 14.17,



"closestDistances": [
"French:French67: 2.767168",
"German:German5: 2.874994",
"French:French50: 2.884261",
"German:German55: 2.891850",
"French:French7: 2.985903",
"French:French6: 3.043085",
"French:French12: 3.129962",
"German:German70: 3.177609",
"German:German54: 3.194267",
"German:German48: 3.227583",
"French:French41: 3.336307",
"French:French47: 3.365021"
"German:German60: 3.379949",
"French:French21: 3.402232",
"German:German44: 3.418167",
"French:French54: 3.420726",
"French:French17: 3.473850",
"German:German72: 3.489088",
"German:German2: 3.545342",
"German:German30: 3.545572",
"German:German3: 3.608168",
"German:German7: 3.615509",
"French:French45: 3.624643",
"German:German4: 3.643891",
"French:French9: 3.695491",
"German:German66: 3.696495",
"German:German22: 3.702783",
"French:French20: 3.705925",
"German:German53: 3.713787",
"French:French18: 3.722997",
"German:German74: 3.738250",
"French:French26: 3.751756",
"French:French46: 3.813302",
"French:French4: 3.818406",
"French:French22: 3.823389",
"French:French64: 3.893907",
"Bulgarian:BulgarianF2: 3.898728",
"French:French35: 3.921406",
"French:French34: 3.962671",
"French:French3: 3.978531",
"Romanian:A374: 3.979810",
"German:German43: 3.987217",
"German:German25: 4.010419",
"French:French23: 4.022722",
"German:German28: 4.041390",
"German:German65: 4.058510",
"French:French19: 4.065992",
"German:German37: 4.077147",
"German:German78: 4.078832",
"German:German40: 4.080553",
"French:French27: 4.084893",
"German:German58: 4.089059",
"Romanian:A306: 4.109999",
"German:German69: 4.125675",
"French:French65: 4.133225",
"Romanian:G408: 4.140325",
"French:French39: 4.158900",
"French:French10: 4.159133",
"French:French60: 4.161167",
"German:German26: 4.171089",
"French:French11: 4.178392",
"French:French29: 4.182234",
"French:French68: 4.186778",
"French:French62: 4.188316",
"French:French8: 4.203642",
"German:German61: 4.208625",
"French:French2: 4.208910",
"French:French32: 4.232678",
"German:German32: 4.243849",
"French:French52: 4.274770",
"German:German29: 4.293074",
"French:French59: 4.310699",
"Romanian:G428: 4.343036",
"Romanian:G434: 4.363094",
"German:German47: 4.368545",
"French:French33: 4.369144",
"German:German14: 4.373090",
"German:German31: 4.410075",
"German:German19: 4.411910",
"French:French36: 4.438701",
"German:German10: 4.455462",
"French:French1: 4.468402",
"French:French42: 4.469918",
"French:French13: 4.472592",
"French:French43: 4.476035",
"Romanian:A343: 4.478415",
"French:French37: 4.484075",
"French:French40: 4.490241",
"Romanian:A362: 4.490722",
"Bulgarian:BulgarianE2: 4.500418",
"Bulgarian:BulgarianD6: 4.516046",
"German:German68: 4.562426",
"German:German34: 4.567100",
"French:French66: 4.576190",
"French:French28: 4.596462",
"French:French25: 4.617875",
"Romanian:G421: 4.633252",
"German:German21: 4.646523",
"French:French15: 4.650925"

[Luke35]

Can anyone get a closer fit than .35 with just 4 populations?

[Coastal Elite]

Can anyone get a closer fit than .35 with just 4 populations?

Later on I'm gonna add some Tajik spice to my mix to try and get a better fit. I think you have the right idea getting a little exotic with the mix.

[Luke35]

Later on I'm gonna add some Tajik spice to my mix to try and get a better fit. I think you have the right idea getting a little exotic with the mix.

I was just gonna suggest you try that! Let's see if your fit improves..

[Coastal Elite]

Using Tajik for a better fit

"sample": "Custom: DacoCeltic_scaled",

"fit": 0.8631,
"French": 48.33,
"Bulgarian": 28.33,
"Irish": 20,
"Tajik_Yagnobi": 3.33,

[Luke35]

Using Tajik for a better fit

"sample": "Custom: DacoCeltic_scaled",

"fit": 0.8631,
"French": 48.33,
"Bulgarian": 28.33,
"Irish": 20,
"Tajik_Yagnobi": 3.33,

Cool man!

What will be interesting is who else this kind of approach will work for? Will it work for full NW Europeans? Anyone else wanna try a little Tajik Yagnobi in their life?

[Coastal Elite]

Cool man!

What will be interesting is who else this kind of approach will work for? Will it work for full NW Europeans? Anyone else wanna try a little Tajik Yagnobi in their life?

Yeah, exactly, I was wondering the same thing. I thought it might work best for Eastern Europeans, esp. ones that might have a slight West Asian influence. Both Hungarians and Romanians are probably good candidates for that. I would really like to see how it would apply to a full NW European as you mention.

[JamesBond007]

Cool man!

What will be interesting is who else this kind of approach will work for? Will it work for full NW Europeans? Anyone else wanna try a little Tajik Yagnobi in their life?

I improved my result with Tatar_Siberian but not by much :

"sample": "Custom:Kevin_scaled",
"fit": 1.2914,
"Irish": 44.17,
"Dutch": 42.5,
"German": 11.67,
"Tatar_Siberian": 1.67,

[Dušan]

Target: Dušan_g25
Distance: 0.8499% / 0.00849892 | R4P
57.8 Macedonian
28.2 Lithuanian_RA
9.0 Sardinian
5.0 Mari

[Eurafricanid]

Target: Jgab602_scaled
Distance: 0.5913% / 0.00591286 | R4P
47.2 Cameroon_Mbo
31.0 Basque_Gipuzkoa_Southwest
19.4 Greek_Crete
2.4 Surui

[Dušan]

Target: Dušan_g25
Distance: 0.8499% / 0.00849892 | R4P
57.8 Macedonian
28.2 Lithuanian_RA
9.0 Sardinian
5.0 Mari

With real coords:


Target: Dušan_scaled
Distance: 1.9319% / 0.01931853 | R4P
37.6 Greek_Macedonia
32.8 Russian_Smolensk
20.8 Ukrainian_Sumy
8.8 Sardinian

[marco]

My sons results we are both North African Arab background

Target: Son_scaled
Distance: 0.7117% / 0.00711746 | R4P
67.8 Berber_MAR_TIZ
23.2 Greek_Crete
7.0 Luhya_Kenya
2.0 Kosipe


A little bit lower distance for my son

Target: Son_scaled
Distance: 0.6912% / 0.00691238 | R4P
58.4 Berber_MAR_TIZ
28.2 Maltese
10.8 Mada
2.6 Nasoi


My results
Target: me
Distance: 0.9499% / 0.00949907 | R4P
49.2 Berber_MAR_TIZ
33.0 Yemenite_Dhamar
9.0 Spanish_La_Rioja
8.8 Gambian

[Beowulf]

Target: Beowulf_Scaled
Distance: 0.9338% / 0.00933820 | R4P
36.6 Italian_Liguria
33.6 Spanish_Soria
23.0 BelgianB
6.8 Sorb_Niederlausitz

[nittionia]

Target: nittionia_scaled
Distance: 1.4645% / 0.01464477 | R4P
52.8 Norwegian
24.4 Spanish_Soria
20.4 Icelandic
2.4 Shor_Khakassia

Target: nittioniasdad_scaled
Distance: 1.2622% / 0.01262225 | R4P
35.6 Norwegian
23.8 Shetlandic
22.8 Russian_Belgorod
17.8 Spanish_Soria

Target: nittioniasmom_scaled
Distance: 2.9906% / 0.02990596 | R4P
64.4 Norwegian
31.8 Spanish_Soria
2.6 Finnish_Southeast
1.2 Brahmin_Punjab

[majevica]

Target: majevica_scaled
Distance: 2.0475% / 0.02047491 | R4P
43.0 Greek_East_Macedonia_and_Thrace
24.4 Lithuanian_PA
21.4 Cossack_Ukrainian
11.2 Sardinian

[Eurafricanid]

Target: Eurafricanid-EU
Distance: 1.0266% / 0.01026568 | R4P
46.3 Basque_Gipuzkoa_Southwest
36.5 Spanish_Menorca
11.2 Armenian_Parspatunik
6.0 EmiratiA


Target: Eurafricanid-EU
Distance: 0.4201% / 0.00420765 | R4P
52.8 Basque_Gipuzkoa_Southwest
26.0 Greek_Crete
15.8 Swiss_French
5.4 EmiratiA