MyTrueAncestry Deep Dive + Outlier

[InfamousAngel99]

Hi everyone! I hope you had a wonderful day today.

I decided to check out my Deep Dive matches and see what categories I have matches in under DNA spotlight. I've posted my outlier samples and 5 of my deep dive matches, along with my maternal grandmother's results below. I'd love to see some of your deep dive results as well.

My Results
Deep Dive:
1. Gaelic Settler Viking Iceland 935 AD
- 27% closer than other matching users
- 12 SNP chains (min. 60 SNPs) / 153.36 cM
- Largest segment=209 SNPs / 21.38 cM
2. Bronze Age Jutland Denmark 1400 BC
- 76% closer than other matching users
- 21 SNP chains (min. 60 SNPs) / 108.33 cM
- Largest segment=239 SNPs / 12.27 cM
3. Franco Medieval Villa Magna Italy 1215 AD
- 57% closer than other matching users
- 3 SNP chains (min. 60 SNPs) / 27.52 cM
- Largest segment=126 SNPs / 10.11 cM
4. Celtic Briton Gladiator York 250 AD
- 46% closer than other matching users
- 1 SNP chain (min. 60 SNPs) / 7.89 cM
- Largest segment=135 SNPs / 7.89 cM
5. Cheddar Man Somerset England 7150 BC
- 7% closer than other matching users
- 1 SNP chain (min. 60 SNPs) / 6.71 cM
- Largest segment=113 SNPs / 6.71 cM

Outlier Samples:
102. Medieval Piedmont (580 AD) ..... 12.96 -
Top 91 % match vs all users

139. Celtoiberian Outlier Roman Empire VP (100 AD) ..... 14.33 -
Top 97 % match vs all users

145. Cisalpine Gaul (590 AD) ..... 14.65 -
Top 80 % match vs all users

146. Medieval Tyrolian (590 AD) ..... 14.65 -
Top 77 % match vs all users

147. Late Medieval Villa Magna Italy (1355 AD) ..... 14.7 -
Top 90 % match vs all users


Maternal Grandmother's Results
Deep Dive:
1. Scotland Late Bronze Age 900 BC
- 95% closer than other matching users
- 9 SNP chains (min. 60 SNPs) / 69.81 cM
- Largest segment=245 SNPs / 28.76 cM
2. Cheddar Man Somerset England 7150 BC
- 57% closer than other matching users
- 3 SNP chains (min. 60 SNPs) / 33.68 cM
- Largest segment=166 SNPs / 16.6 cM
3. Anglo Saxon 780 AD
- 48% closer than other matching users
- 2 SNP chains (min. 60 SNPs) / 20.81 cM
- Largest segment=128 SNPs / 11.83 cM
4. Franco Medieval Villa Magna Italy 1215 AD
- 16% closer than other matching users
-1 SNP chain (min. 60 SNPs) / 8.33 cM
- Largest segment=130 SNPs / 8.33 cM
5. High Staus Male Haunstetten 1946 BC
- 75% closer than other matching users
- 4 SNP chains (min. 60 SNPs) / 20.43 cM
- Largest segment=206 SNPs / 6.72 cM

Outlier Samples:
108. Visigoth Mixed Slav Girona (550 AD) ..... 14.95 -
Top 87 % match vs all users

175. Scythian Outlier Hungary (550 BC) ..... 17.48 -
Top 89 % match vs all users

182. Bell Beaker Haunstetten Germany (1873 BC) ..... 17.67 -
Top 96 % match vs all users

186. Illyrian / Dalmatian (1200 BC) ..... 17.77 -
Top 86 % match vs all users

187. Lugii Tribe Iron Age Maslomecz (300 AD) ..... 17.84 - ?
Top 98 % match vs all users

[Luke35]

I have not delved into MTA, but I am happy to bump the thread for you.

[Adamastor]

Are you paying for that scam? I mean, you can see the Oracles without paying, that's the only good thing that site has. Ancient matches are mostly fake, you cannot share IBD with ancient people.

[InfamousAngel99]

I have not delved into MTA, but I am happy to bump the thread for you.

Thanks! :)

[Lemminkäinen]

MTA seems to be the best test if you are searching your ancient roots. If you are for instance Greek, or whatever you are, and want to know that you are Greek and your parents didn't lie to you, your best choice is Gedmatch. Still the Gedmatch Oracles can totally fail.

[tipirneni]

Saidu Sharif Buddhist Monastery 350 BC I7718 mtDNA: K1b1a1
You are #2 among 214 other users who also have a deep dive match with this sample.
6 SNP chains (min. 60 SNPs) / 38.68 cM

Saidu Sharif Buddhist Monastery 300 BC I7721 mtDNA: R0a2k1
You are #7 among 314 other users who also have a deep dive match with this sample. This makes your relationship to this individual very unique.
6 SNP chains (min. 60 SNPs) / 81.84 cM

Aral Sea Karasuk 1480 BC Rise493 mtDNA: C4a1c Y-DNA: Q1a1b1
9 SNP chains (min. 60 SNPs) / 155.29 cM

Skeleton Lake Sindhi Worshiper (Roopkund) 830 AD I3344 mtDNA: U2c1
You are #6 among a select few users who also have a deep dive match with this sample.
1 SNP chain (min. 60 SNPs) / 2.22 cM


Outliers
86. Ancient Japan Funadomari Jomon (610 BC) ..... 74.16 - Funadomari5 -
Top 13 % match vs all users

107. Copper Age Iran (3800 BC) ..... 78.79 - I1665 -
Top 4 % match vs all users

170. Late Roman Iberia Granada (500 AD) ..... 82.37 - I3582 -
Top 2 % match vs all users

172. Mycenaean Peristeria Citadel (1350 BC) ..... 82.45 - I9033 -
Top 2 % match vs all users

177. Late Roman Iberia Granada (500 AD) ..... 82.69 - I3575 -
Top 1 % match vs all users

179. Morisco Italo-Iberian Andalusia (1550 AD) ..... 82.7 - I7424 -
Top 2 % match vs all users

181. Hellenic Roman (590 AD) ..... 82.71 - SZ40 - ?
Top 2 % match vs all users

185. Roman Imperial Palestrina (100 AD) ..... 82.81 - R436 -
Top 2 % match vs all users

189. Late Roman Empire Crypta Balbi (500 AD) ..... 82.92 - R107 -
Top 2 % match vs all users

190. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 82.93 - R64 -
Top 2 % match vs all users
192. Roman 83.01 - R1 -
Top 2 % match vs all users

193. Roman..... 83.05 - R128 -
Top 3 % match vs all users

197. Roman ..... 83.11 - R65 -
Top 3 % match vs all users

198. Iran ..... 83.11 - I7425 -
Top 1 % match vs all users

199. ..... 83.11 - In662 - ?
Top 3 % match vs all users

[Lemminkäinen]

Saidu Sharif Buddhist Monastery 350 BC I7718 mtDNA: K1b1a1
You are #2 among 214 other users who also have a deep dive match with this sample.
6 SNP chains (min. 60 SNPs) / 38.68 cM

Saidu Sharif Buddhist Monastery 300 BC I7721 mtDNA: R0a2k1
You are #7 among 314 other users who also have a deep dive match with this sample. This makes your relationship to this individual very unique.
6 SNP chains (min. 60 SNPs) / 81.84 cM

Aral Sea Karasuk 1480 BC Rise493 mtDNA: C4a1c Y-DNA: Q1a1b1
9 SNP chains (min. 60 SNPs) / 155.29 cM

Skeleton Lake Sindhi Worshiper (Roopkund) 830 AD I3344 mtDNA: U2c1
You are #6 among a select few users who also have a deep dive match with this sample.
1 SNP chain (min. 60 SNPs) / 2.22 cM


Outliers
86. Ancient Japan Funadomari Jomon (610 BC) ..... 74.16 - Funadomari5 -
Top 13 % match vs all users

107. Copper Age Iran (3800 BC) ..... 78.79 - I1665 -
Top 4 % match vs all users

170. Late Roman Iberia Granada (500 AD) ..... 82.37 - I3582 -
Top 2 % match vs all users

172. Mycenaean Peristeria Citadel (1350 BC) ..... 82.45 - I9033 -
Top 2 % match vs all users

177. Late Roman Iberia Granada (500 AD) ..... 82.69 - I3575 -
Top 1 % match vs all users

179. Morisco Italo-Iberian Andalusia (1550 AD) ..... 82.7 - I7424 -
Top 2 % match vs all users

181. Hellenic Roman (590 AD) ..... 82.71 - SZ40 - ?
Top 2 % match vs all users

185. Roman Imperial Palestrina (100 AD) ..... 82.81 - R436 -
Top 2 % match vs all users

189. Late Roman Empire Crypta Balbi (500 AD) ..... 82.92 - R107 -
Top 2 % match vs all users

190. Tuscan Medieval Villa Magna Italy (1110 AD) ..... 82.93 - R64 -
Top 2 % match vs all users
192. Roman 83.01 - R1 -
Top 2 % match vs all users

193. Roman..... 83.05 - R128 -
Top 3 % match vs all users

197. Roman ..... 83.11 - R65 -
Top 3 % match vs all users

198. Iran ..... 83.11 - I7425 -
Top 1 % match vs all users

199. ..... 83.11 - In662 - ?
Top 3 % match vs all users

Outliers are those who don't match well with any known population, so you could be a good match among other testers despite of the match level. Someone of us could be a bit closer Chimp than you. Chimp is an ultimate outlier. MTA has listed also outliers keeping in a mind that also outliers can be found in modern populations.

[tipirneni]

Outliers are those who don't match well with any known population, so you could be a good match among other testers despite of the match level. Someone of us could be a bit closer Chimp than you.

No these are Ibero-Roman & Iranian matches that have vast number of people in Europe & Asia. Some Indians have these admixture from long time back but diluted due to newer waves of admixure

[Lemminkäinen]

No these are Ibero-Roman & Iranian matches that have vast number of people in Europe & Asia. Some Indians have these admixture from long time back but diluted due to newer waves of admixure

Of course the outlier relation can be real, but the sequence number tells how meaningdul the match is and gives more information. I only hoped to see your top matches. My outlier samples are (the top because I ought to pay more to see more)

144. Finnic Sarmatian Warrior (605 AD) ..... 18.64 - NS12a - ?
Top 99 % match vs all users

148. Scotland Late Bronze Age (900 BC) ..... 18.7 - I2860 -
Top 40 % match vs all users

158. Late Bronze Age Estonia (600 BC) ..... 18.99 - OLS10 -
Top 97 % match vs all users

159. Kievan Rus (1130 AD) ..... 19.04 - Sunghir6 -
Top 92 % match vs all users

168. Battle Axe Gyvakarai (2545 BC) ..... 19.25 - Gyvakarai1 -
Top 98 % match vs all users

They are far behind top 100 matches. I have tested in my own analyses OLS10 and it is an outlier and maybe distantly related to ancient Estonians. My ancient Estonians are closer and give much more information.

2. Late Bronze Age Estonia (610 BC) ..... 8.771 - V10 -
Top 99 % match vs all users

3. Viking Sweden (1100 AD) ..... 8.967 - Sigtuna urm160 -
Top 99 % match vs all users

4. Swede Medieval Denmark (1250 AD) ..... 9.22 - G208 -
Top 95 % match vs all users

5. Neolithic Axe Estonia (2460 BC) ..... 9.277 - Kunila2 -
Top 99 % match vs all users

6. Sala Silver Mine Sweden (1610 AD) ..... 9.36 - Sk6866 -
Top 99 % match vs all users

7. Late Bronze Age Estonia (580 BC) ..... 9.839 - VII4 -
Top 99 % match vs all users

8. Trans-Volga Forest Steppes CWC (1725 BC) ..... 10.9 - kzb006
Top 99 % match vs all users

9. Western Pomerania Unetice (2000 BC) ..... 11.05 - Rise139 -
Top 95 % match vs all users

10. Swede Medieval Denmark (1250 AD) ..... 11.16 - G942
Top 96 % match vs all users

11. Iron Age Oeselian Saaremaa (420 BC) ..... 11.47 - X04 -
Top 99 % match vs all users

[tipirneni]

Of course the outlier relation can be real, but the sequence number tells how meaningdul the match is and gives more information. My outlier samples are (the top because I ought to pay more to see more)

144. Finnic Sarmatian Warrior (605 AD) ..... 18.64 - NS12a - ?
Top 99 % match vs all users

148. Scotland Late Bronze Age (900 BC) ..... 18.7 - I2860 -
Top 40 % match vs all users

158. Late Bronze Age Estonia (600 BC) ..... 18.99 - OLS10 -
Top 97 % match vs all users

159. Kievan Rus (1130 AD) ..... 19.04 - Sunghir6 -
Top 92 % match vs all users

168. Battle Axe Gyvakarai (2545 BC) ..... 19.25 - Gyvakarai1 -
Top 98 % match vs all users

They are far behind top 100 matches. I have tested in my own analyses OLS10 and it is an outlier and maybe distantly related to ancient Estonians. My ancient Estonians are closer and give much more information.

2. Late Bronze Age Estonia (610 BC) ..... 8.771 - V10 -
Top 99 % match vs all users

3. Viking Sweden (1100 AD) ..... 8.967 - Sigtuna urm160 -
Top 99 % match vs all users

4. Swede Medieval Denmark (1250 AD) ..... 9.22 - G208 -
Top 95 % match vs all users

5. Neolithic Axe Estonia (2460 BC) ..... 9.277 - Kunila2 -
Top 99 % match vs all users

6. Sala Silver Mine Sweden (1610 AD) ..... 9.36 - Sk6866 -
Top 99 % match vs all users

7. Late Bronze Age Estonia (580 BC) ..... 9.839 - VII4 -
Top 99 % match vs all users

8. Trans-Volga Forest Steppes CWC (1725 BC) ..... 10.9 - kzb006
Top 99 % match vs all users

9. Western Pomerania Unetice (2000 BC) ..... 11.05 - Rise139 -
Top 95 % match vs all users

10. Swede Medieval Denmark (1250 AD) ..... 11.16 - G942
Top 96 % match vs all users

11. Iron Age Oeselian Saaremaa (420 BC) ..... 11.47 - X04 -
Top 99 % match vs all users

For some reason those Estonian matches show up in my GED but not on MYTA. I have like few percent Narva like genome but it hasn't shown in myta. However the GED shows many Latvian, Finn, Kola and Estonian matches.

[Lemminkäinen]

GED - Gedmatch?

[tipirneni]

YES

[Lemminkäinen]

Oracle is just fun. Shit happens if you have a small fraction Tibetan or those Afghans who have tiny proportion of East Asian. False segments can be seen even in Gedmatch relatives. Commercial players, like FtDna make tweaks and remove certain chromosomal areas to avoid false matches, but Gedmatch doesn't do it. Sometimes they remove also real matches :)

[tipirneni]

There is the older Keltominar related cultures among the people of Iranian related groups in 5-3rd millenium. So if any ethnic group has some connection, you will see some Finn/Kola/Baltic matches. Apart from it there are also some North Asian groups that got mixed into people moving in during Buddhist period. These groups are somehow related to the Kola groups.

Due to these two admixures, you will be surprised how big Kola segments I get on 1-on-1 compares

[tipirneni]

Oracle is just fun. Shit happens if you have a small fraction Tibetan or those Afghans who have tiny proportion of East Asian. False segments can be seen even in Gedmatch relatives. Commercial players, like FtDna make tweaks and remove certain chromosomal areas to avoid false matches, but Gedmatch doesn't do it. Sometimes they remove also real matches :)

There is the older Keltominar related cultures among the people of Iranian related groups in 5-3rd millenium. So if any ethnic group has some connection, you will see some Finn/Kola/Baltic matches. Apart from it there are also some North Asian groups that got mixed into people moving in during Buddhist period. These groups are somehow related to the Kola groups.

Due to these two admixures, you will be surprised how big Kola segments I get on 1-on-1 compares

[Lemminkäinen]

There is the older Keltominar related cultures among the people of Iranian related groups in 5-3rd millenium. So if any ethnic group has some connection, you will see some Finn/Kola/Baltic matches. Apart from it there are also some North Asian groups that got mixed into people moving in during Buddhist period. These groups are somehow related to the Kola groups.

Due to these two admixures, you will be surprised how big Kola segments I get on 1-on-1 comparesThedr

[Lemminkäinen]

These old segments don't follow known recombination rules. We know that Gedmatch has a very simple formula for detecting matches. We don't know the MTA process, but definitely it is more complex.

[Dick]

These old segments don't follow known recombination rules. We know that Gedmatch has a very simple formula for detecting matches. We don't know the MTA process, but definitely it is more complex.

MTA actually uses Eurogenes K15 to calculate

[Lemminkäinen]

MTA actually uses Eurogenes K15 to calculate

It seems to be right, but only for modern populations. Eurogenes has never had all those ancient samples.

[Rædwald]

People against MTA just hate fun. :)

[Lucas]

It seems to be right, but only for modern populations. Eurogenes has never had all those ancient samples.

It is not a problem to check all recently added ancient samples in K15. You can do it automatically in few hours if you know how. Of course first you must extract them from datasets. But you do it once.

[Lemminkäinen]

It is not a problem to check all recently added ancient samples in K15. You can do it automatically in few hours if you know how. Of course first you must extract them from datasets. But you do it once.

Why should I check ancient samples using recent people? The history goes Vice versa. All recent populations are mixed and drifted. We can determine ancient samples only by older ancient samples. I want to check where my ancestors are from.