how to get your parent's raw data without testing them (if you tested at ancestryDNA)

[vbnetkhio]

did you know that ancestryDNA phases your raw data (separates your mother's and father's dna)

if you open your raw data file in excel, the "allele1" column is one of your parents and "allele2" is the other

so you can just create two new files, one where you paste 2 allele1 columns and other where you paste 2 allele2 columns

and you can upload these files to gedmatch

i don't know how precise it is for matching but it gives a good rough estimate in calculators

[Ayetooey]

I'll test this with and compare it to my dads tested data at some point. Good find.

[vbnetkhio]

I'll test this with and compare it to my dads tested data at some point. Good find.

i think they have the best raw data currently. with it i score the highest SNP number on gedmatch calculators, and they also test X,Y, mtdna and the "24th" chromosome (pseudoautosomal regions)

[Ford]

The black dot is me.

https://i.imgur.com/ZKo4rM2.png

[Mr.G]

Cool, thanks for the info. My mom did AncestryDNA and is on Gedmatch so I have a phased kit for my dad - but I will try this too.

[lonewolfcypriot]

wicked, I can find out where my parents plot. great

[vbnetkhio]

wicked, I can find out where my parents plot. great

you can also get your y and MT haplogroups from the raw data.

y-dna here
https://ytree.morleydna.com/

and y-dna and mtdna here
https://www.wegene.com/en/

[Kaspias]

For the people who don't have Ancestry data:

Download DNAStudio(here (http://dnagenics.com/dna-kit-studio/)) and convert your raw data to the Ancestry. Open your converted raw data with notepad+, press ctrl+a, and ctrl+c. Create a new excel file and press ctrl+a and ctrl+v. You will be able to edit columns. Delete the column which allele2 written, copy the column which allele1 written and paste it to the column which you have just deleted and edit its name as allele2. Save it as .csv file (not xlsx) and exit the excel. Open the same file with notepad+, press ctrl+f and replace ; with 3 times of "space". Save the file again as .csv and it should be ready to upload Gedmatch. Then do the same process for allele2.

At least this is how i did it and it worked fine. Probably won't be precise as much as Ancestry testers though.

[Rgvgjhvv]

Wow! I need to re-read that again slowly because I would love to do this.

[Rgvgjhvv]

For the people who don't have Ancestry data:

Download DNAStudio(here (http://dnagenics.com/dna-kit-studio/)) and convert your raw data to the Ancestry. Open your converted raw data with notepad+, press ctrl+a, and ctrl+c. Create a new excel file and press ctrl+a and ctrl+v. You will be able to edit columns. Delete the column which allele2 written, copy the column which allele1 written and paste it to the column which you have just deleted and edit its name as allele2. Save it as .csv file (not xlsx) and exit the excel. Open the same file with notepad+, press ctrl+f and replace ; with 3 times of "space". Save the file again as .csv and it should be ready to upload Gedmatch. Then do the same process for allele2.

At least this is how i did it and it worked fine. Probably won't be precise as much as Ancestry testers though.

I'd love to see your dad's results.

[vbnetkhio]

For the people who don't have Ancestry data:

Download DNAStudio(here (http://dnagenics.com/dna-kit-studio/)) and convert your raw data to the Ancestry. Open your converted raw data with notepad+, press ctrl+a, and ctrl+c. Create a new excel file and press ctrl+a and ctrl+v. You will be able to edit columns. Delete the column which allele2 written, copy the column which allele1 written and paste it to the column which you have just deleted and edit its name as allele2. Save it as .csv file (not xlsx) and exit the excel. Open the same file with notepad+, press ctrl+f and replace ; with 3 times of "space". Save the file again as .csv and it should be ready to upload Gedmatch. Then do the same process for allele2.

At least this is how i did it and it worked fine. Probably won't be precise as much as Ancestry testers though.

i'm not sure if that works. because other companies (as far as i know) don't test which allelle is from which parent , they just sort them in the alphabetical order. so in 23andme raw data i have

AG
AG
AG

and in ancestrydna (and in reality) it's

A G
G A
A G

check if you have any snps that aren't in alphabetical order (TC, GA), if you do than it's phased

[Lemgrant]

result:
file 1

Admix Results (sorted):

# Population Percent
1 Baltic 45.57
2 North_Atlantic 26.55
3 West_Med 10.72
4 East_Med 5.73
5 West_Asian 4.32
6 Sub-Saharan 2
7 Northeast_African 1.32
8 Red_Sea 1.27
9 Siberian 1.25
10 South_Asian 0.64
11 Amerindian 0.57
12 Oceanian 0.05

Single Population Sharing:

# Population (source) Distance
1 Ukrainian 4.11
2 Southwest_Russian 4.42
3 Polish 4.59
4 Estonian_Polish 4.67
5 Russian_Smolensk 4.91
6 Ukrainian_Lviv 5.15
7 Ukrainian_Belgorod 5.53
8 Belorussian 5.71
9 South_Polish 5.82
10 Kargopol_Russian 8.5
11 Lithuanian 9.4
12 Estonian 9.99
13 Croatian 10.44
14 Erzya 10.79
15 Finnish 11.74
16 East_Finnish 12.19
17 Southwest_Finnish 12.75
18 Moldavian 13.26
19 Hungarian 14.45
20 East_German 15.84

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92.4% Estonian_Polish + 7.6% Mozabite_Berber @ 1.91
2 92.5% Estonian_Polish + 7.5% Tunisian @ 2.06
3 92.5% Estonian_Polish + 7.5% Algerian @ 2.07
4 92.6% Estonian_Polish + 7.4% Moroccan @ 2.11
5 85% Lithuanian + 15% Tunisian @ 2.35
6 85.1% Lithuanian + 14.9% Mozabite_Berber @ 2.36
7 85% Lithuanian + 15% Algerian @ 2.46
8 92.5% Russian_Smolensk + 7.5% Mozabite_Berber @ 2.52
9 92.6% Russian_Smolensk + 7.4% Tunisian @ 2.61
10 92.5% Russian_Smolensk + 7.5% Algerian @ 2.63
11 92.8% Estonian_Polish + 7.2% Algerian_Jewish @ 2.66
12 91.5% Estonian_Polish + 8.5% West_Sicilian @ 2.69
13 85.3% Lithuanian + 14.7% Moroccan @ 2.69
14 92.7% Russian_Smolensk + 7.3% Moroccan @ 2.71
15 82% Lithuanian + 18% West_Sicilian @ 2.71
16 77.4% Estonian_Polish + 22.6% Moldavian @ 2.72
17 91.6% Estonian_Polish + 8.4% East_Sicilian @ 2.72
18 84.6% Lithuanian + 15.4% Algerian_Jewish @ 2.72
19 92.2% Estonian_Polish + 7.8% South_Italian @ 2.75
20 86.8% Estonian_Polish + 13.2% Bulgarian @ 2.76


file 2:



Admix Results (sorted):

# Population Percent
1 Baltic 46.05
2 North_Atlantic 28.12
3 West_Med 11.56
4 West_Asian 5.65
5 East_Med 3.17
6 Amerindian 3.02
7 East_Asian 1.08
8 Siberian 1.04
9 South_Asian 0.29
10 Oceanian 0.01

Single Population Sharing:

# Population (source) Distance
1 Polish 3.96
2 Ukrainian 4.17
3 Russian_Smolensk 4.99
4 Estonian_Polish 5.27
5 Ukrainian_Lviv 5.53
6 Southwest_Russian 5.59
7 Ukrainian_Belgorod 6.08
8 South_Polish 6.15
9 Belorussian 6.46
10 Kargopol_Russian 8.25
11 Estonian 8.78
12 Lithuanian 8.85
13 Erzya 11.04
14 Finnish 11.1
15 Croatian 11.33
16 Southwest_Finnish 11.78
17 East_Finnish 11.98
18 Moldavian 14.29
19 Hungarian 14.94
20 East_German 15.59

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.4% Polish + 2.6% North_Amerindian @ 3.01
2 97.7% Polish + 2.3% Pima @ 3.04
3 97.7% Polish + 2.3% Mayan @ 3.04
4 98% Polish + 2% Karitiana @ 3.06
5 75% Ukrainian + 25% Lithuanian @ 3.12
6 96.6% Polish + 3.4% West_Greenlander @ 3.15
7 97.1% Polish + 2.9% East_Greenlander @ 3.2
8 75.6% Ukrainian + 24.4% Estonian @ 3.23
9 95.7% Polish + 4.3% MA-1 @ 3.42
10 84.4% Polish + 15.6% Erzya @ 3.46
11 63.3% Ukrainian + 36.7% Estonian_Polish @ 3.48
12 80.1% Polish + 19.9% Kargopol_Russian @ 3.5
13 65.5% Ukrainian_Lviv + 34.5% Lithuanian @ 3.51
14 97.8% Polish + 2.2% Chukchi @ 3.51
15 61.3% Ukrainian + 38.7% Russian_Smolensk @ 3.51
16 54.9% Polish + 45.1% Ukrainian @ 3.51
17 96.8% Russian_Smolensk + 3.2% Mayan @ 3.56
18 93.7% Polish + 6.3% Chuvash @ 3.6
19 98.1% Polish + 1.9% Koryak @ 3.61
20 57.1% Lithuanian + 42.9% Croatian @ 3.63

[Lemgrant]

+ EUtest

file 1:



Admix Results (sorted):

# Population Percent
1 SOUTH_BALTIC 31.2
2 EAST_EURO 22.89
3 ATLANTIC 13.17
4 NORTH-CENTRAL_EURO 12.95
5 WEST_MED 6.86
6 EAST_MED 4.7
7 MIDDLE_EASTERN 2.76
8 WEST_ASIAN 1.92
9 WEST_AFRICAN 1.37
10 SOUTH_ASIAN 1.25
11 SIBERIAN 0.68
12 EAST_AFRICAN 0.15
13 EAST_ASIAN 0.09

Single Population Sharing:

# Population (source) Distance
1 Ukrainian-Russian 5.5
2 UA 5.53
3 West_Russian 5.79
4 Belorussian 6.35
5 PL 6.72
6 Northwest_Russian 6.85
7 LIT 9.82
8 EE 10.13
9 East_Russian 11.76
10 North_Russian 12.23
11 Erzya 13.78
12 HU 14.46
13 East_Finnish 15
14 South_Finnish 15.21
15 AT 18.87
16 Serbian 19.48
17 North_Swedish 20.5
18 RO 20.98
19 Udmurt 22.12
20 Komi 23.12

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 88.7% Northwest_Russian + 11.3% Algerian @ 2.9
2 88.7% Northwest_Russian + 11.3% Moroccan @ 3.16
3 90.4% Northwest_Russian + 9.6% Samaritan @ 3.36
4 90.1% Northwest_Russian + 9.9% Mozabite_Berber @ 3.41
5 86.2% Northwest_Russian + 13.8% AJ @ 3.41
6 87.3% Northwest_Russian + 12.7% South_Italian_&_Sicilian @ 3.5
7 89.7% Northwest_Russian + 10.3% IQ @ 3.63
8 87.3% Northwest_Russian + 12.7% GR @ 3.63
9 78.6% Northwest_Russian + 21.4% RO @ 3.92
10 91.1% Northwest_Russian + 8.9% Druze @ 4
11 90.8% Northwest_Russian + 9.2% Mandean @ 4.13
12 92.4% Northwest_Russian + 7.6% Bedouin @ 4.15
13 85.4% Northwest_Russian + 14.6% North_Italian @ 4.17
14 87% Northwest_Russian + 13% Tuscan @ 4.17
15 91.1% Belorussian + 8.9% Algerian @ 4.23
16 91.9% Belorussian + 8.1% Mozabite_Berber @ 4.23
17 90.8% Northwest_Russian + 9.2% Assyrian @ 4.25
18 78.2% Northwest_Russian + 21.8% Serbian @ 4.35
19 91.3% Belorussian + 8.7% Moroccan @ 4.41
20 91% Northwest_Russian + 9% Armenian @ 4.42


file 2:


Admix Results (sorted):

# Population Percent
1 SOUTH_BALTIC 29.19
2 EAST_EURO 25.12
3 NORTH-CENTRAL_EURO 21.37
4 ATLANTIC 11.81
5 WEST_MED 6.52
6 WEST_ASIAN 3.35
7 EAST_ASIAN 1.25
8 SIBERIAN 0.81
9 EAST_MED 0.57

Single Population Sharing:

# Population (source) Distance
1 Belorussian 5.47
2 Ukrainian-Russian 5.67
3 West_Russian 5.77
4 UA 6.3
5 PL 6.45
6 EE 6.72
7 Northwest_Russian 7.3
8 LIT 9.48
9 East_Russian 9.72
10 South_Finnish 10.39
11 East_Finnish 10.59
12 North_Russian 10.6
13 Erzya 12.65
14 North_Swedish 15.97
15 HU 16.18
16 AT 19.05
17 South_&_Central_Swedish 19.08
18 NO 20.32
19 Serbian 21.29
20 Komi 21.3

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 58.8% Ukrainian-Russian + 41.2% EE @ 4.42
2 74.7% Belorussian + 25.3% South_Finnish @ 4.45
3 83.1% Belorussian + 16.9% North_Swedish @ 4.5
4 75.6% Belorussian + 24.4% East_Finnish @ 4.51
5 68.8% UA + 31.2% East_Finnish @ 4.58
6 73.8% Ukrainian-Russian + 26.2% South_Finnish @ 4.6
7 73% Northwest_Russian + 27% North_Swedish @ 4.61
8 87.1% Belorussian + 12.9% NO @ 4.62
9 77.9% Northwest_Russian + 22.1% NO @ 4.67
10 75% Belorussian + 25% East_Russian @ 4.68
11 86.7% Belorussian + 13.3% South_&_Central_Swedish @ 4.68
12 76.8% Northwest_Russian + 23.2% South_&_Central_Swedish @ 4.7
13 89% Belorussian + 11% DK @ 4.75
14 80.1% Northwest_Russian + 19.9% DK @ 4.82
15 69.5% UA + 30.5% South_Finnish @ 4.84
16 84% Ukrainian-Russian + 16% North_Swedish @ 4.87
17 90.3% Belorussian + 9.7% NL @ 4.9
18 91.2% Belorussian + 8.8% English @ 4.92
19 89.8% Belorussian + 10.2% Komi @ 4.94
20 86.9% Ukrainian-Russian + 13.1% South_&_Central_Swedish @ 4.95

[Lemgrant]

looks accurate

[Dorian]

Could someone create these 2 files for me If easy?no excel...

[Lemgrant]

i'm not sure if that works. because other companies (as far as i know) don't test which allelle is from which parent , they just sort them in the alphabetical order. so in 23andme raw data i have

AG
AG
AG

and in ancestrydna (and in reality) it's

A G
G A
A G

check if you have any snps that aren't in alphabetical order (TC, GA), if you do than it's phased

AncestryDNA and MyHeritage DNA are currently the only two companies which phase the data before assigning matches. Ancestry has developing its own phasing algorithm known as Underdog. The technical details are provided in the AncestryDNA Matching White Paper. They claim to have an error rate of under 1% and the error rate improves as the size of the training reference dataset increases. As of the beginning of 2016, AncestryDNA uses a reference panel of more than 300,000 genotypes. The details of MyHeritage DNA's phasing is given in the their blog post on major updates and improvements to MyHeritage DNA matching. See also the presentation given by Yaniv Erlich, MyHeritage DNA's Chief Scientific Officer, at Rootstech 2018 MyHeritage DNA 1010: from test to results

Note, however, that if you download the raw data from AncestryDNA or MyHeritage to upload to third-party sites you will receive a file of unphased data.

https://isogg.org/wiki/Phasing

[vbnetkhio]

AncestryDNA and MyHeritage DNA are currently the only two companies which phase the data before assigning matches. Ancestry has developing its own phasing algorithm known as Underdog. The technical details are provided in the AncestryDNA Matching White Paper. They claim to have an error rate of under 1% and the error rate improves as the size of the training reference dataset increases. As of the beginning of 2016, AncestryDNA uses a reference panel of more than 300,000 genotypes. The details of MyHeritage DNA's phasing is given in the their blog post on major updates and improvements to MyHeritage DNA matching. See also the presentation given by Yaniv Erlich, MyHeritage DNA's Chief Scientific Officer, at Rootstech 2018 MyHeritage DNA 1010: from test to results

Note, however, that if you download the raw data from AncestryDNA or MyHeritage to upload to third-party sites you will receive a file of unphased data.

https://isogg.org/wiki/Phasing

hmm.. i'm sure my ancestry raw data is at least partially phased.. i have GCs and CGs, TAs and ATs etc... maybe they started doing that recently

[Epirus DNA]

Could someone create these 2 files for me If easy?no excel...

Yeah... I can do it for you. You have to email me your txt file.

[Ljubic]

The results seem to be a mixture of my own rather than anything that is real. None of the two files fit my father.

[Epirus DNA]

Could someone create these 2 files for me If easy?no excel...

You can also use Google Docs online. It's free !

[Rgvgjhvv]

Could someone create these 2 files for me If easy?no excel...


Yeah... I can do it for you. You have to email me your txt file.

I've posted mine in the Greek Members DNA thread. If you end up doing yours as well, post it in that thread as reference.

[Cumansky]

Can I do this on my Samsung Galaxy smartphone? I don't have computer but I have my AncestryDNA data downloaded to my phone. My Father live in different country and Mother deceased many years so DNA test of my parents impossible, this is faster alternative than testing my close cousins but do you think seperated DNA combinations are accurately dividing my parents DNA? How can I know forsure? But it seems like good option

[Kaspias]

I'd love to see your dad's results.

Something is wrong because both my father and mother get the same Eurasian. But turan stronk

Kit1


Admix Results (sorted):

# Population Percent
1 East_Med 20.24
2 Baltic 19.32
3 North_Atlantic 16.99
4 West_Asian 15.65
5 West_Med 13.2
6 Siberian 7.74
7 Red_Sea 1.87
8 South_Asian 1.76
9 East_Asian 1.49
10 Amerindian 0.81
11 Sub-Saharan 0.68
12 Oceanian 0.25

Single Population Sharing:

# Population (source) Distance
1 Bulgarian 11.1
2 Romanian 12.06
3 Greek_Thessaly 12.32
4 Serbian 15.27
5 Central_Greek 15.88
6 Italian_Abruzzo 16.17
7 East_Sicilian 17.1
8 Ashkenazi 18.12
9 West_Sicilian 18.34
10 Moldavian 18.55
11 Tuscan 18.85
12 South_Italian 19.67
13 North_Italian 21.36
14 Hungarian 21.77
15 Nogay 22.12
16 Croatian 22.14
17 Tatar 22.55
18 Turkish 22.64
19 Sephardic_Jewish 24.18
20 Algerian_Jewish 24.75

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 53.5% South_Italian + 46.5% Tatar @ 3.14
2 59% Central_Greek + 41% Tatar @ 3.46
3 62.1% South_Italian + 37.9% Chuvash @ 3.69
4 57.2% East_Sicilian + 42.8% Tatar @ 3.93
5 67.2% Central_Greek + 32.8% Chuvash @ 3.95
6 72.6% Bulgarian + 27.4% Afghan_Turkmen @ 4.07
7 69.7% Central_Greek + 30.3% Mari @ 4.08
8 51.8% Tatar + 48.2% Sephardic_Jewish @ 4.17
9 66.9% Italian_Abruzzo + 33.1% Chuvash @ 4.34
10 69.4% Italian_Abruzzo + 30.6% Mari @ 4.36
11 52.5% Tatar + 47.5% Italian_Jewish @ 4.43
12 55.5% Tatar + 44.5% Cyprian @ 4.45
13 65.7% East_Sicilian + 34.3% Chuvash @ 4.68
14 64.8% South_Italian + 35.2% Mari @ 4.78
15 55.8% Ashkenazi + 44.2% Tatar @ 4.84
16 58.8% Italian_Abruzzo + 41.2% Tatar @ 4.85
17 52.4% Tatar + 47.6% Algerian_Jewish @ 4.92
18 70.7% Greek_Thessaly + 29.3% Afghan_Turkmen @ 5.04
19 68.3% East_Sicilian + 31.7% Mari @ 5.12
20 75.6% Bulgarian + 24.4% Uzbeki @ 5.15




Kit2


Admix Results (sorted):

# Population Percent
1 East_Med 21.78
2 Baltic 21.42
3 West_Asian 14.15
4 North_Atlantic 14.1
5 West_Med 11.39
6 Siberian 7.41
7 Red_Sea 4.64
8 South_Asian 2.38
9 East_Asian 0.82
10 Oceanian 0.81
11 Amerindian 0.58
12 Sub-Saharan 0.53

Single Population Sharing:

# Population (source) Distance
1 Bulgarian 12.34
2 Greek_Thessaly 13.41
3 Romanian 13.58
4 Serbian 16.44
5 Central_Greek 16.93
6 East_Sicilian 17.82
7 Ashkenazi 17.91
8 Italian_Abruzzo 18.04
9 Moldavian 19.06
10 West_Sicilian 19.83
11 South_Italian 20.8
12 Tuscan 21.01
13 Tatar 22.56
14 Croatian 22.59
15 Hungarian 22.91
16 Turkish 23.04
17 Nogay 23.63
18 North_Italian 24.02
19 Sephardic_Jewish 24.42
20 Algerian_Jewish 24.79

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 54.9% Tatar + 45.1% Cyprian @ 2.97
2 59.1% Tatar + 40.9% Samaritan @ 3.91
3 59.8% Tatar + 40.2% Lebanese_Christian @ 3.95
4 56.1% Sephardic_Jewish + 43.9% Chuvash @ 4.12
5 64% East_Sicilian + 36% Chuvash @ 4.41
6 56% Ashkenazi + 44% Tatar @ 4.42
7 58.8% Tatar + 41.2% Lebanese_Druze @ 4.44
8 54.5% Tatar + 45.5% Tunisian_Jewish @ 4.44
9 55.5% Tatar + 44.5% Lebanese_Muslim @ 4.45
10 65.3% Central_Greek + 34.7% Chuvash @ 4.51
11 53.1% Cyprian + 46.9% Chuvash @ 4.52
12 60.2% South_Italian + 39.8% Chuvash @ 4.54
13 63.9% Ashkenazi + 36.1% Chuvash @ 4.55
14 67.8% Central_Greek + 32.2% Mari @ 4.57
15 66.7% East_Sicilian + 33.3% Mari @ 4.8
16 52.1% Tatar + 47.9% Sephardic_Jewish @ 4.82
17 55.4% Italian_Jewish + 44.6% Chuvash @ 4.85
18 54.9% Tatar + 45.1% Libyan_Jewish @ 4.93
19 56.8% Lebanese_Muslim + 43.2% East_Finnish @ 4.98
20 52.5% Tatar + 47.5% Algerian_Jewish @ 5.04

[Rgvgjhvv]

Something is wrong because both my father and mother get the same Eurasian. But turan stronk


So then this is probably just splitting our results in half, rather than accurate mom and dad results.

It would be proven more if mixed people like Greek/Indian or Norwegian/Iranian were to do it.

[JosephK]

Yeah mine come out like slightly-off versions of me rather than either of my parents... it's just splitting you into two halves.

[Lemgrant]

Yeah mine come out like slightly-off versions of me rather than either of my parents... it's just splitting you into two halves.

According to this link https://isogg.org/wiki/Phasing the downloaded raw data is not phased. But since ancestrydna and myheritage really do phasing (without parents dna data), how can we get access to the phased raw data, that's the question.

[Cumansky]

result:
file 1

Admix Results (sorted):

# Population Percent
1 Baltic 45.57
2 North_Atlantic 26.55
3 West_Med 10.72
4 East_Med 5.73
5 West_Asian 4.32
6 Sub-Saharan 2
7 Northeast_African 1.32
8 Red_Sea 1.27
9 Siberian 1.25
10 South_Asian 0.64
11 Amerindian 0.57
12 Oceanian 0.05

Single Population Sharing:

# Population (source) Distance
1 Ukrainian 4.11
2 Southwest_Russian 4.42
3 Polish 4.59
4 Estonian_Polish 4.67
5 Russian_Smolensk 4.91
6 Ukrainian_Lviv 5.15
7 Ukrainian_Belgorod 5.53
8 Belorussian 5.71
9 South_Polish 5.82
10 Kargopol_Russian 8.5
11 Lithuanian 9.4
12 Estonian 9.99
13 Croatian 10.44
14 Erzya 10.79
15 Finnish 11.74
16 East_Finnish 12.19
17 Southwest_Finnish 12.75
18 Moldavian 13.26
19 Hungarian 14.45
20 East_German 15.84

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 92.4% Estonian_Polish + 7.6% Mozabite_Berber @ 1.91
2 92.5% Estonian_Polish + 7.5% Tunisian @ 2.06
3 92.5% Estonian_Polish + 7.5% Algerian @ 2.07
4 92.6% Estonian_Polish + 7.4% Moroccan @ 2.11
5 85% Lithuanian + 15% Tunisian @ 2.35
6 85.1% Lithuanian + 14.9% Mozabite_Berber @ 2.36
7 85% Lithuanian + 15% Algerian @ 2.46
8 92.5% Russian_Smolensk + 7.5% Mozabite_Berber @ 2.52
9 92.6% Russian_Smolensk + 7.4% Tunisian @ 2.61
10 92.5% Russian_Smolensk + 7.5% Algerian @ 2.63
11 92.8% Estonian_Polish + 7.2% Algerian_Jewish @ 2.66
12 91.5% Estonian_Polish + 8.5% West_Sicilian @ 2.69
13 85.3% Lithuanian + 14.7% Moroccan @ 2.69
14 92.7% Russian_Smolensk + 7.3% Moroccan @ 2.71
15 82% Lithuanian + 18% West_Sicilian @ 2.71
16 77.4% Estonian_Polish + 22.6% Moldavian @ 2.72
17 91.6% Estonian_Polish + 8.4% East_Sicilian @ 2.72
18 84.6% Lithuanian + 15.4% Algerian_Jewish @ 2.72
19 92.2% Estonian_Polish + 7.8% South_Italian @ 2.75
20 86.8% Estonian_Polish + 13.2% Bulgarian @ 2.76


file 2:



Admix Results (sorted):

# Population Percent
1 Baltic 46.05
2 North_Atlantic 28.12
3 West_Med 11.56
4 West_Asian 5.65
5 East_Med 3.17
6 Amerindian 3.02
7 East_Asian 1.08
8 Siberian 1.04
9 South_Asian 0.29
10 Oceanian 0.01

Single Population Sharing:

# Population (source) Distance
1 Polish 3.96
2 Ukrainian 4.17
3 Russian_Smolensk 4.99
4 Estonian_Polish 5.27
5 Ukrainian_Lviv 5.53
6 Southwest_Russian 5.59
7 Ukrainian_Belgorod 6.08
8 South_Polish 6.15
9 Belorussian 6.46
10 Kargopol_Russian 8.25
11 Estonian 8.78
12 Lithuanian 8.85
13 Erzya 11.04
14 Finnish 11.1
15 Croatian 11.33
16 Southwest_Finnish 11.78
17 East_Finnish 11.98
18 Moldavian 14.29
19 Hungarian 14.94
20 East_German 15.59

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 97.4% Polish + 2.6% North_Amerindian @ 3.01
2 97.7% Polish + 2.3% Pima @ 3.04
3 97.7% Polish + 2.3% Mayan @ 3.04
4 98% Polish + 2% Karitiana @ 3.06
5 75% Ukrainian + 25% Lithuanian @ 3.12
6 96.6% Polish + 3.4% West_Greenlander @ 3.15
7 97.1% Polish + 2.9% East_Greenlander @ 3.2
8 75.6% Ukrainian + 24.4% Estonian @ 3.23
9 95.7% Polish + 4.3% MA-1 @ 3.42
10 84.4% Polish + 15.6% Erzya @ 3.46
11 63.3% Ukrainian + 36.7% Estonian_Polish @ 3.48
12 80.1% Polish + 19.9% Kargopol_Russian @ 3.5
13 65.5% Ukrainian_Lviv + 34.5% Lithuanian @ 3.51
14 97.8% Polish + 2.2% Chukchi @ 3.51
15 61.3% Ukrainian + 38.7% Russian_Smolensk @ 3.51
16 54.9% Polish + 45.1% Ukrainian @ 3.51
17 96.8% Russian_Smolensk + 3.2% Mayan @ 3.56
18 93.7% Polish + 6.3% Chuvash @ 3.6
19 98.1% Polish + 1.9% Koryak @ 3.61
20 57.1% Lithuanian + 42.9% Croatian @ 3.63

You have my raw data??

[Bellbeaking]

This data will be highly incomplete though. Still cool OP.

[Cumansky]

This data will be highly incomplete though. Still cool OP.

What you mean "highly incomplete"?

[Cumansky]

Anyone can do it? Help me out, I will send you raw data file

[RenaRyuguu]

Anyone can do it? Help me out, I will send you raw data file

Doing a DNA Test Discreetly and Without Consent: Possible?

https://dnatesting.com/discreetly-doing-a-dna-test-without-consent-possible/

[Dick]

i will try this. subscribed

[Cumansky]

i will try this. subscribed

Albanian + Albanian + Iceland + Iceland

[Cumansky]

Doing a DNA Test Discreetly and Without Consent: Possible?

https://dnatesting.com/discreetly-doing-a-dna-test-without-consent-possible/

Wtf is this? I'm just trying see my parents result

[Bellbeaking]

What you mean "highly incomplete"?

It leaves out the 1/2 of your parents DNA that you didn't inherit

[Cumansky]

It leaves out the 1/2 of your parents DNA that you didn't inherit

It still does something to divide parents DNA, I can see from Lemgrant result who is also from Ukraine

[Cumansky]

You unhelpful niggas fackk..

[Insuperable]

How can they know which alelle is inherited from mother and which from father? Letters in column 1 (or column 2) for example can come from both father and mother. You can't know which belong to whom. Using method specified in the OP you will just get a mix of your own results.

[Lemgrant]

How can they know which alelle is inherited from mother and which from father? Letters in column 1 (or column 2) for example can come from both father and mother. You can't know which belong to whom. Using method specified in the OP you will just get a mix of your own results.

more details here: https://www.ancestry.com/corporate/sites/default/files/AncestryDNA-Matching-White-Paper.pdf


2. Genotype phasing algorithm
2.1. Introduction

As explained in section 1.2, genotypes alone often cannot tell us which allele copy was inherited from the father and which was inherited from the mother. One exception to this is when we have genotypes sampled from both parents and child (called a trio). In this case, since the laws of genetic inheritance tell us that alleles can only be transmitted from parent to child in specific ways, we can use this information to very accurately assign alleles to each of the two chromosome copies. However, since we cannot depend on all customers taking the AncestryDNA test with both their parents, we need a more sophisticated approach that can accurately determine the phase of the genotypes—the assignment of alleles to chromosome copies—without parental information.

The strategy is to simultaneously phase the genotypes from a large number of unrelated individuals. Since the genotypes observed at consecutive SNPs can be phased in many different ways, the basic principle is to prefer a phase that results in two sequences on each of the chromosomes that are also observed in many other samples. In other words, if the phasing yields a sequence that is unique, this is probably the wrong way to phase the genotypes. This principle is based on the expectation that short sequences, called haplotypes, are typically shared by many people in a large population.

Practically speaking, this means that we have a chicken-and-egg problem: accurate phasing of the genotypes requires us to determine the more common sequences (the haplotypes); to determine the more common haplotypes, we need to first know how to phase the genotypes. Fortunately, software such as BEAGLE (Browning and Browning, 2007) and HAPI-UR (Williams et al., 2012) are designed specifically to solve this chicken-and-egg problem from thousands of samples simultaneously.

An important benefit of such approaches is that phasing accuracy improves as more unrelated samples are analyzed simultaneously. Therefore, in principle we could achieve highly accurate phasing by simultaneously analyzing the hundreds of thousands of genotype samples from AncestryDNA customers. However, as fast as methods like BEAGLE and HAPI-UR are, they were not designed to jointly handle millions of samples.

Therefore, we have developed a modified strategy, which we call “Underdog.” Underdog learns haplotype frequencies—or, more precisely, frequencies of “haplotype clusters”—in a large number of AncestryDNA samples. Then, once we have learned haplotype cluster frequencies, we use Underdog to quickly phase the genotypes of new customers.

[Cumansky]

Lemgrant please help

[Lemgrant]

Lemgrant please help

the raw data is not phased, there is no point in doing it.

[Cumansky]

the raw data is not phased, there is no point in doing it.

I just want to see my result that is all

[Lemgrant]

I just want to see my result that is all

pm

[Dick]

But don't our parents have different allels as well. They cant have the same TT, GG, CC etc on allele 1 and 2 just like we dont.

[lonewolfcypriot]

one thing that I do not understand is why are you slightly closer to one parent than the other? Shouldn't you be halfway inbetween? Or is it possible to be genetically closer to one parent?

[lonewolfcypriot]

But don't our parents have different allels as well. They cant have the same TT, GG, CC etc on allele 1 and 2 just like we dont.

I was thinking the same thing. but somehow it works which is strange.

[Dick]

I was thinking the same thing. but somehow it works which is strange.

Impossible just like markos said.

[RenaRyuguu]

Is DNA a Code?

https://evo2.org/dna-atheists/dna-code/

[lonewolfcypriot]

Impossible just like markos said.

if it's impossible why does it work?

[Dick]

if it's impossible why does it work?

Where?

[Sp_loa]

It’s technically and practically not possible.
You only get 50% of each parent, one letter of their two for every nucleotide in the genome. You can’t restore 100% from 50%.

Lets say for one snp your father is AG and your mother is AA

You got AA too

Doing what mentioned in this thread won’t work because you don’t know if both of your parents are AA, both are AG or one AG and one AA. Because from all 3 options it is possible for you to get AA.
This applies for hundreds of thousands of snps that AncestryDNA tests for. Statistically speaking you would get most snps wrong and
You will end up getting a very inaccurate raw data.

It cannot work and I don’t understand how no one except user “Dick” realized it before.

[Lemgrant]

op is talking about phasing, not recreation of paternal/maternal dna.



Phasing is the task or process of assigning alleles (the As, Cs, Ts and Gs) to the paternal and maternal chromosomes. The term is usually applied to types of DNA that recombine, such as autosomal DNA or the X-chromosome. Phasing can help to determine whether matches are on the paternal side or the maternal side, on both sides or on neither side. Phasing can also help with the process of chromosome mapping – assigning segments to specific ancestors. The use of phased data reduces the number of false positive matches, particularly for smaller segments under 15 centiMorgans (cMs).

https://isogg.org/wiki/Phasing



Statistical phasing
It is not always possible to obtain trios for phasing and, even if it were, it is not economical or computationally feasible to phase large trio datasets. Sophisticated statistical algorithms have been developed which phase the data based on allele frequencies derived from reference populations. A number of programs are available such as Beagle and FastIBD. Phasing can be done with a high degree of accuracy if large enough reference cohorts are available which are representative of the populations being studied. However, with genotype data the current methodologies are not able to reliably phase small segments under 5 cMs. One study reported a false positive rate of over 67% for 2-4 cM segments when compared with trios.[2]

Statistical or population-based phasing works because our DNA is all very similar and because it's passed on in chunks. Think of it like trying to read a sentence when some of the letters are missing. There are only so many combinations that will fit in the available spaces. If you saw these words:

R-d is my f-v--r-t- c-l--r

You would probably be able to work out that the sentence should read:

Red is my favourite colour

There are regional variations in the "sentences" but even if there were a couple of "deletions" you'd still be able to work it out:

Red is my favorite color

Difficulties arise when you have a short word without the context of a full sentence. R-d on its own could be red, rid, or rod.


Genetic genealogy companies
The raw genotype data generated by the Illumina microarray chips used for the autosomal DNA tests from the genetic genealogy companies is unphased and therefore does not distinguish the alleles on the maternal and paternal chromosomes. Customers who download their raw data file will observe that in the genotype column there are two DNA letters for each SNP. These letters are unsorted and could have come from either parent.

AncestryDNA and MyHeritage DNA are currently the only two companies which phase the data before assigning matches. Ancestry has developing its own phasing algorithm known as Underdog. The technical details are provided in the AncestryDNA Matching White Paper. They claim to have an error rate of under 1% and the error rate improves as the size of the training reference dataset increases. As of the beginning of 2016, AncestryDNA uses a reference panel of more than 300,000 genotypes. The details of MyHeritage DNA's phasing is given in the their blog post on major updates and improvements to MyHeritage DNA matching. See also the presentation given by Yaniv Erlich, MyHeritage DNA's Chief Scientific Officer, at Rootstech 2018 MyHeritage DNA 1010: from test to results

Note, however, that if you download the raw data from AncestryDNA or MyHeritage to upload to third-party sites you will receive a file of unphased data.

The 23andMe test and the Family Finder test from Family Tree DNA do not phase the data before assigning matches. However, 23andMe uses statistical phasing for their Ancestry Composition. If one or both parents has been tested at 23andMe Ancestry Composition can determine which ancestral segments have been inherited from each parent. For a detailed explanation see the 23andMe article on The phasing process.

[karakartal]

My mother and father have different ancestry. If i do this, i know and understand this thing is possible or impossible.

[firemonkey]

How do you tell which is you father's and which is your mother's ? My father has never tested at Ancestry. My mother never had her DNA tested before she died.

[Mr.G]

I gave this method a shot, I am not sure what the hell this is doing, but it is interesting. Unfortunately, I would conclude it does not work very well. One of the kit's I created is closer to my mother, and one is closer to my father - but ultimately they both seem pretty off.

Here is my mom's real kit v her manufactured (this thread's method) kit:

Mom's real kit
# Population Percent
1 North_Atlantic 45.35
2 Baltic 23.78
3 West_Med 13.84
4 East_Med 7.26
5 West_Asian 6.36
6 Red_Sea 1.09
7 South_Asian 1.07
8 Oceanian 0.36
9 Sub-Saharan 0.36
10 Northeast_African 0.29
11 Amerindian 0.13
12 Siberian 0.11

Single Population Sharing:

# Population (source) Distance
1 South_Dutch 2.54
2 West_German 2.79
3 Southeast_English 5.28
4 North_German 5.49
5 Danish 6.61
6 North_Dutch 6.66
7 Orcadian 6.96
8 Southwest_English 7.31
9 Irish 7.96
10 West_Scottish 8.47


Mom's manufactured kit
# Population Percent
1 North_Atlantic 41.54
2 Baltic 26.12
3 West_Med 13.5
4 East_Med 7.19
5 West_Asian 6.4
6 Amerindian 1.71
7 South_Asian 1.69
8 Red_Sea 0.84
9 Siberian 0.75
10 Oceanian 0.26

Single Population Sharing:

# Population (source) Distance
1 West_German 4.26
2 South_Dutch 5.19
3 Austrian 5.68
4 North_German 6.55
5 East_German 6.81
6 Danish 8.67
7 Southeast_English 8.73
8 North_Dutch 8.94
9 Orcadian 9.71
10 Hungarian 9.85

[Celestia]

Whoa thanks.
My dad doesn’t want to test cause he believes in those dna conspiracies,
Time to plot him >:)

[Moje ime]

Someone who actually has his parents tested should try this and tell us how similar results are.

[Mr.G]

Someone who actually has his parents tested should try this and tell us how similar results are.

My mom is tested, here is the comparison:

Mom's real kit
# Population Percent
1 North_Atlantic 45.35
2 Baltic 23.78
3 West_Med 13.84
4 East_Med 7.26
5 West_Asian 6.36
6 Red_Sea 1.09
7 South_Asian 1.07
8 Oceanian 0.36
9 Sub-Saharan 0.36
10 Northeast_African 0.29
11 Amerindian 0.13
12 Siberian 0.11

Single Population Sharing:

# Population (source) Distance
1 South_Dutch 2.54
2 West_German 2.79
3 Southeast_English 5.28
4 North_German 5.49
5 Danish 6.61
6 North_Dutch 6.66
7 Orcadian 6.96
8 Southwest_English 7.31
9 Irish 7.96
10 West_Scottish 8.47


Mom's manufactured kit
# Population Percent
1 North_Atlantic 41.54
2 Baltic 26.12
3 West_Med 13.5
4 East_Med 7.19
5 West_Asian 6.4
6 Amerindian 1.71
7 South_Asian 1.69
8 Red_Sea 0.84
9 Siberian 0.75
10 Oceanian 0.26

Single Population Sharing:

# Population (source) Distance
1 West_German 4.26
2 South_Dutch 5.19
3 Austrian 5.68
4 North_German 6.55
5 East_German 6.81
6 Danish 8.67
7 Southeast_English 8.73
8 North_Dutch 8.94
9 Orcadian 9.71
10 Hungarian 9.85

[Moje ime]

My mom is tested, here is the comparison:

Mom's real kit
# Population Percent
1 North_Atlantic 45.35
2 Baltic 23.78
3 West_Med 13.84
4 East_Med 7.26
5 West_Asian 6.36
6 Red_Sea 1.09
7 South_Asian 1.07
8 Oceanian 0.36
9 Sub-Saharan 0.36
10 Northeast_African 0.29
11 Amerindian 0.13
12 Siberian 0.11

Single Population Sharing:

# Population (source) Distance
1 South_Dutch 2.54
2 West_German 2.79
3 Southeast_English 5.28
4 North_German 5.49
5 Danish 6.61
6 North_Dutch 6.66
7 Orcadian 6.96
8 Southwest_English 7.31
9 Irish 7.96
10 West_Scottish 8.47


Mom's manufactured kit
# Population Percent
1 North_Atlantic 41.54
2 Baltic 26.12
3 West_Med 13.5
4 East_Med 7.19
5 West_Asian 6.4
6 Amerindian 1.71
7 South_Asian 1.69
8 Red_Sea 0.84
9 Siberian 0.75
10 Oceanian 0.26

Single Population Sharing:

# Population (source) Distance
1 West_German 4.26
2 South_Dutch 5.19
3 Austrian 5.68
4 North_German 6.55
5 East_German 6.81
6 Danish 8.67
7 Southeast_English 8.73
8 North_Dutch 8.94
9 Orcadian 9.71
10 Hungarian 9.85

Pretty inaccurate.

is this possible to do with MyHeritage results?

[Lemgrant]

I gave this method a shot, I am not sure what the hell this is doing, but it is interesting. Unfortunately, I would conclude it does not work very well. One of the kit's I created is closer to my mother, and one is closer to my father - but ultimately they both seem pretty off.

Here is my mom's real kit v her manufactured (this thread's method) kit:

Mom's real kit
# Population Percent
1 North_Atlantic 45.35
2 Baltic 23.78
3 West_Med 13.84
4 East_Med 7.26
5 West_Asian 6.36
6 Red_Sea 1.09
7 South_Asian 1.07
8 Oceanian 0.36
9 Sub-Saharan 0.36
10 Northeast_African 0.29
11 Amerindian 0.13
12 Siberian 0.11

Single Population Sharing:

# Population (source) Distance
1 South_Dutch 2.54
2 West_German 2.79
3 Southeast_English 5.28
4 North_German 5.49
5 Danish 6.61
6 North_Dutch 6.66
7 Orcadian 6.96
8 Southwest_English 7.31
9 Irish 7.96
10 West_Scottish 8.47


Mom's manufactured kit
# Population Percent
1 North_Atlantic 41.54
2 Baltic 26.12
3 West_Med 13.5
4 East_Med 7.19
5 West_Asian 6.4
6 Amerindian 1.71
7 South_Asian 1.69
8 Red_Sea 0.84
9 Siberian 0.75
10 Oceanian 0.26

Single Population Sharing:

# Population (source) Distance
1 West_German 4.26
2 South_Dutch 5.19
3 Austrian 5.68
4 North_German 6.55
5 East_German 6.81
6 Danish 8.67
7 Southeast_English 8.73
8 North_Dutch 8.94
9 Orcadian 9.71
10 Hungarian 9.85

post also your Dad's manufactured kit eurogenes k13 oracle

[Mr.G]

post also your Dad's manufactured kit eurogenes k13 oracle

This is the other manufactured kit , if we can call it my dad's haha idk. It is actually quite similar to my result.

# Population Percent
1 North_Atlantic 36.39
2 Baltic 25.45
3 West_Med 14.25
4 East_Med 9.31
5 West_Asian 7.24
6 Red_Sea 2.51
7 Sub-Saharan 2.41
8 Siberian 0.76
9 South_Asian 0.62
10 Oceanian 0.59
11 Northeast_African 0.46

Single Population Sharing:

# Population (source) Distance
1 Austrian 5.11
2 West_German 7.18
3 East_German 7.33
4 Hungarian 7.52
5 South_Dutch 8.54
6 Serbian 10.49
7 French 10.67
8 North_German 11.48
9 Croatian 12.71
10 Moldavian 13.16
11 Southeast_English 13.65
12 Romanian 13.85
13 Danish 13.85
14 North_Dutch 14.02
15 Swedish 14.64
16 Orcadian 14.84
17 Southwest_English 15.41
18 Norwegian 15.6
19 Irish 15.84
20 North_Swedish 16.05

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 61.6% Swedish + 38.4% Greek_Thessaly @ 3.03
2 91.1% Austrian + 8.9% Mozabite_Berber @ 3.08
3 61.8% Serbian + 38.2% West_Scottish @ 3.09
4 66.4% West_German + 33.6% Moldavian @ 3.11
5 59.2% Serbian + 40.8% Orcadian @ 3.11
6 60.8% Serbian + 39.2% Irish @ 3.13
7 91% Austrian + 9% Algerian @ 3.14
8 91.2% Austrian + 8.8% Tunisian @ 3.18
9 60.2% Serbian + 39.8% Southwest_English @ 3.24
10 61.8% South_Dutch + 38.2% Moldavian @ 3.27
11 91.6% Austrian + 8.4% Moroccan @ 3.35
12 57.8% Serbian + 42.2% North_Dutch @ 3.37
13 60.1% Hungarian + 39.9% French @ 3.42
14 67.8% Swedish + 32.2% East_Sicilian @ 3.43
15 57.2% Serbian + 42.8% Southeast_English @ 3.47
16 50.3% Romanian + 49.7% North_Dutch @ 3.48
17 57.6% Serbian + 42.4% Danish @ 3.51
18 96.2% Austrian + 3.8% Bantu_N.E. @ 3.51
19 96.2% Austrian + 3.8% Luhya @ 3.52
20 96.4% Austrian + 3.6% Biaka_Pygmy @ 3.53


Here is my dad's actual phased kit, done with the in-house Gedmatch application. This is supposed to be the 50% DNA I inherited from my dad..

# Population Percent
1 North_Atlantic 29.45
2 Baltic 24.19
3 West_Med 12.97
4 West_Asian 8.03
5 East_Med 7.38
6 South_Asian 4.15
7 Red_Sea 3.76
8 Siberian 3.06
9 Northeast_African 2.16
10 Amerindian 1.4
11 East_Asian 1.21
12 Oceanian 1.17
13 Sub-Saharan 1.05

Single Population Sharing:

# Population (source) Distance
1 Hungarian 9.32
2 Serbian 9.9
3 Austrian 10.37
4 Moldavian 11.01
5 East_German 11.59
6 Croatian 12.16
7 Romanian 12.3
8 West_German 13.33
9 South_Dutch 14.59
10 Bulgarian 15.01
11 French 15.49
12 Ukrainian_Lviv 16.54
13 North_German 16.97
14 South_Polish 16.99
15 Ukrainian 18.21
16 Danish 19.37
17 North_Swedish 19.47
18 Spanish_Galicia 19.52
19 Swedish 19.62
20 Southeast_English 19.64

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 81.8% Austrian + 18.2% Aghan_Hazara @ 5.48
2 81.4% Austrian + 18.6% Uzbeki @ 5.5
3 83.3% Austrian + 16.7% Hazara @ 5.63
4 80.6% Austrian + 19.4% Afghan_Turkmen @ 5.72
5 81.7% Austrian + 18.3% Afghan_Tadjik @ 5.8
6 79% East_German + 21% Turkmen @ 6
7 80% East_German + 20% Aghan_Hazara @ 6.02
8 57.7% French + 42.3% Tatar @ 6.07
9 79.5% East_German + 20.5% Afghan_Tadjik @ 6.07
10 82.8% Austrian + 17.2% Uygur @ 6.07
11 79.6% East_German + 20.4% Uzbeki @ 6.22
12 78.6% East_German + 21.4% Afghan_Turkmen @ 6.29
13 81.9% Austrian + 18.1% Turkmen @ 6.29
14 81.1% Austrian + 18.9% Tadjik @ 6.36
15 85.3% Hungarian + 14.7% Aghan_Hazara @ 6.37
16 81.8% East_German + 18.2% Hazara @ 6.39
17 85.7% Austrian + 14.3% Burusho @ 6.48
18 80% Austrian + 20% Nogay @ 6.53
19 51.2% Spanish_Galicia + 48.8% Tatar @ 6.58
20 82.5% East_German + 17.5% Bedouin @ 6.6

[Mr.G]

Pretty inaccurate.

is this possible to do with MyHeritage results?

In post #8 of the thread, Kaspias describes a method for non-Ancestry data.

[Nurzat]

...

GEDmatch tool for phasing should be reliable, right? I'm thinking of trying that one to phase my maternally-inherited DNA, as I now have both mine and my dad's

[Mr.G]

GEDmatch tool for phasing should be reliable, right? I'm thinking of trying that one to phase my maternally-inherited DNA, as I now have both mine and my dad's

I'd say the tool could definitely use some improvement, at least if you only have one parent available for phasing. When I use the tool to phase my paternally-inherited DNA, it's a bit of a mess. Still, if looking for a sign of something encouraging, it does predict Hungarian as the closest population, even though at big distance:

Paternal side, phased (GEDmatch tool):

Admix Results (sorted):

# Population Percent
1 North_Atlantic 29.45
2 Baltic 24.19
3 West_Med 12.97
4 West_Asian 8.03
5 East_Med 7.38
6 South_Asian 4.15
7 Red_Sea 3.76
8 Siberian 3.06
9 Northeast_African 2.16
10 Amerindian 1.4
11 East_Asian 1.21
12 Oceanian 1.17
13 Sub-Saharan 1.05

Single Population Sharing:

# Population (source) Distance
1 Hungarian 9.32
2 Serbian 9.9
3 Austrian 10.37
4 Moldavian 11.01
5 East_German 11.59
6 Croatian 12.16
7 Romanian 12.3
8 West_German 13.33
9 South_Dutch 14.59
10 Bulgarian 15.01
11 French 15.49
12 Ukrainian_Lviv 16.54
13 North_German 16.97
14 South_Polish 16.99
15 Ukrainian 18.21
16 Danish 19.37
17 North_Swedish 19.47
18 Spanish_Galicia 19.52
19 Swedish 19.62
20 Southeast_English 19.64

Hopefully your phasing is a bit cleaner and less noisy than what I got -- please let me know when you've done it, I'd like to see the result.