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MyTrueAncestry Mytrueancestry.com

Jovialis said:
These are mine, using a AncestryDNA, 23andme, and LivingDNA, as one superkit, via the gedmatch merging tool:

F999918 (Loschbour, Lux., 8ky)


Largest segment = 2.9 cM


Total Half-Match segments (HIR) = 109.2 cM (3.044 Pct)


69 shared segments found for this comparison.


501734 SNPs used for this comparison.


51.319 Pct SNPs are full identical




////////////


F999937 (NE1 Polgár-Ferenci-hát, Hungary 5070-5310 cal BC)


Largest segment = 5.1 cM


Total Half-Match segments (HIR) = 243.5 cM (6.789 Pct)


134 shared segments found for this comparison.


494744 SNPs used for this comparison.


52.834 Pct SNPs are full identical


////////////


F999933 (BR2 Ludas-Varjú-dűlő, Hungary 1110-1270 cal BC)


Largest segment = 5.4 cM


Total Half-Match segments (HIR) = 214.4 cM (5.978 Pct)


123 shared segments found for this comparison.


496784 SNPs used for this comparison.


52.483 Pct SNPs are full identical
Click to expand...

Well, that's interesting. Why am I so matchy/matchy, at least with these people? I never match anyone, practically. My relatives page on 23andme is sad. :)

I guess I should do the gedmatch one on some of the more recent ones, but they're going to be much less, which doesn't make a lot of sense. Roman solder, for example, was 2.61 or something.

As for overall similarity on the calculators, I don't get closer than about a 4.
 
The kit numbers for the samples also covered by this service are now not up on gedmatch.LBK

These are up, and I still don't get it. We shouldn't be getting numbers like this for such old samples, should we?

Stuttgart
[FONT=&quot]Largest segment = 4.4 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 506.9 cM (14.134 Pct)[/FONT]

[FONT=&quot]326 shared segments found for this comparison.[/FONT]

[FONT=&quot]848896 SNPs used for this comparison.[/FONT]

[FONT=&quot]55.494 Pct SNPs are full identical

[/FONT]Well, it's going to take quite something to beat that. :) I guess I should be the EEF poster girl; the one with the EHG or Indo-European mtDna. :)

NE6:
[FONT=&quot]Largest segment = 1.2 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 2.3 cM (0.063 Pct)


Greek Neolithic: Revenia
[/FONT][FONT=&quot]Largest segment = 1.6 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 1.6 cM (0.043 Pct)[/FONT]

[FONT=&quot]1 shared segments found for this comparison.[/FONT]

[FONT=&quot]463765 SNPs used for this comparison.[/FONT]
[FONT=&quot]

Greek Neolithic Klei
[/FONT]M572712

Doesn't work

Bar31
[FONT=&quot]Largest segment = 1.6 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 5.4 cM (0.151 Pct)[/FONT]

[FONT=&quot]4 shared segments found for this comparison.[/FONT]

[FONT=&quot]631768 SNPs used for this comparison.[/FONT]

[FONT=&quot]54.693 Pct SNPs are full identical

[/FONT]
Neolithic Ganj Dareh-Iran
[FONT=&quot]Largest segment = 1.9 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 2.9 cM (0.081 Pct)[/FONT]

[FONT=&quot]2 shared segments found for this comparison.[/FONT]

[FONT=&quot]570281 SNPs used for this comparison.[/FONT]

[FONT=&quot]53.213 Pct SNPs are full identical

[/FONT]
Iran WCI 9465-9092 ybp
[FONT=&quot]Largest segment = 4.4 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 107.9 cM (3.008 Pct)[/FONT]

[FONT=&quot]69 shared segments found for this comparison.[/FONT]

[FONT=&quot]661486 SNPs used for this comparison.[/FONT]

[FONT=&quot]54.110 Pct SNPs are full identical

[/FONT]
Bon 002 Early PPN
[FONT=&quot]Largest segment = 1.7 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 3.7 cM (0.103 Pct)[/FONT]

[FONT=&quot]3 shared segments found for this comparison.[/FONT]

[FONT=&quot]623602 SNPs used for this comparison.[/FONT]

[FONT=&quot]54.875 Pct SNPs are full identical

[/FONT]Levant PPNB 0

[FONT=&quot](*Bon002 depth>=2 Early PPN Central Anatolia Boncuklu 8279-7977 BC[/FONT]

[FONT=&quot]Largest segment = 1.9 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 10.6 cM (0.296 Pct)[/FONT]

[FONT=&quot]7 shared segments found for this comparison.[/FONT]

[FONT=&quot]537574 SNPs used for this comparison.[/FONT]

[FONT=&quot]55.303 Pct SNPs are full identical


[/FONT][FONT=&quot]Bar8 Anatolian Neolithic, Barcin, 6212-6030 BCE (8222-8040 ybp[/FONT][FONT=&quot]

[/FONT][FONT=&quot]Largest segment = 2.5 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 70.6 cM (1.969 Pct)[/FONT]

[FONT=&quot]51 shared segments found for this comparison.[/FONT]

[FONT=&quot]658827 SNPs used for this comparison.[/FONT]

[FONT=&quot]55.551 Pct SNPs are full identical[/FONT]
[FONT=&quot]

KOI Hungary:
[/FONT][FONT=&quot]Largest segment = 1.9 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 6.9 cM (0.193 Pct)[/FONT]

[FONT=&quot]5 shared segments found for this comparison.[/FONT]

[FONT=&quot]447037 SNPs used for this comparison.[/FONT]

[FONT=&quot]58.160 Pct SNPs are full identical

NE5: 0

NE7:
[/FONT][FONT=&quot]Total Half-Match segments (HIR) = 6.3 cM (0.176 Pct)[/FONT]

[FONT=&quot]4 shared segments found for this comparison.[/FONT]

[FONT=&quot]370214 SNPs used for this comparison.[/FONT]
[FONT=&quot]
[/FONT][FONT=&quot]CO1:
[/FONT][FONT=&quot]Largest segment = 2.0 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 2.0 cM (0.054 Pct)[/FONT]

[FONT=&quot]1 shared segments found for this comparison.[/FONT]

[FONT=&quot]393433 SNPs used for this comparison.[/FONT]

[FONT=&quot]59.132 Pct SNPs are full identical

[/FONT][FONT=&quot]German Bell Beaker Rise 569- 0

Remedello Rise 489
[/FONT][FONT=&quot]Largest segment = 2.5 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 2.5 cM (0.070 Pct)[/FONT]

[FONT=&quot]1 shared segments found for this comparison.[/FONT]

[FONT=&quot]275539 SNPs used for this comparison.[/FONT]

[FONT=&quot]59.538 Pct SNPs are full identical

[/FONT][FONT=&quot]Funnel Beaker: N18
[/FONT][FONT=&quot]Largest segment = 1.3 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 1.3 cM (0.036 Pct)[/FONT]

[FONT=&quot]1 shared segments found for this comparison.[/FONT]

[FONT=&quot]502990 SNPs used for this comparison.[/FONT]

[FONT=&quot]52.346 Pct SNPs are full identical

[/FONT][FONT=&quot]
[/FONT]Funnel Beaker F19
[FONT=&quot]Largest segment = 3.0 cM[/FONT]

[FONT=&quot]Total Half-Match segments (HIR) = 6.7 cM (0.186 Pct)[/FONT]

[FONT=&quot]3 shared segments found for this comparison.[/FONT]

[FONT=&quot]517903 SNPs used for this comparison.[/FONT]

[FONT=&quot]52.188 Pct SNPs are full identical

[/FONT]Too many steppe samples; I don't know which ones to do.

I bet the Sicily Beaker one is down too, right?
 
Salento said:
You just reminded me, ... they are testing for Leonardo DNA.

Leonardo Da Vinci's 'hair' to undergo DNA testing

https://www.cnn.com/style/article/leonardo-da-vinci-hair-lock-intl-scli/index.html
Click to expand...

Very cool.
Hope that this data of his DNA is in the public domain, since he is a historical celebrity and may have descendants still alive. Hope that someone can do an upload to the GEDmatch, that would generate a specific Kit to him. As Leonardo da Vinci is from Tuscany, 1452 - 1519 AD, the possibility of Italians like you, Angela, Jovialis, Regio X, among others, having many machs with him is high. In my case, must would do a comparsion with DNA data of Luiz Vaz de Camões. Unfortunately, I not must have be many matchs with Da Vinci :(

In sequence, I post my TOP 4 ancient ancestors, according to GEDmatch Genesis:
GEDmatch® Genesis One-to-one Autosomal Comparison

1) Comparing Kit [FTDNA] and F999937 (NE1, Hungary, 7.2ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.
Largest segment = 5.3 cM
Total Half-Match segments (HIR) = 358.9 cM (10.008 Pct)
211 shared segments found for this comparison.
602316 SNPs used for this comparison.
54.730 Pct SNPs are full identical
Comparison took 0.275 seconds.
CPU time used: 0.058 cpu seconds.

2) Comparing Kit [FTDNA] and F999918 (Loschbour, Lux., 8ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.
Largest segment = 5.3 cM
Total Half-Match segments (HIR) = 224.8 cM (6.268 Pct)
140 shared segments found for this comparison.
611154 SNPs used for this comparison.
54.485 Pct SNPs are full identical
Comparison took 0.315 seconds.
CPU time used: 0.064 cpu seconds.

3) Comparing Kit [FTDNA] and F999933 (BR2, Hungary, 3.2ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.
Largest segment = 4.4 cM
Total Half-Match segments (HIR) = 306.0 cM (8.532 Pct)
187 shared segments found for this comparison.
604922 SNPs used for this comparison.
54.775 Pct SNPs are full identical
Comparison took 0.302 seconds.

4) Comparing Kit [FTDNA] and F999916 (LBK, Stuttgart, 7ky) [GEDmatch Xfer]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.
Largest segment = 4.0 cM
Total Half-Match segments (HIR) = 305.1 cM (8.507 Pct)
181 shared segments found for this comparison.
607322 SNPs used for this comparison.
54.700 Pct SNPs are full identical
Comparison took 0.271 seconds.
CPU time used: 0.054 cpu seconds.
 

@Duarte I’m way smarter than Leonardo, I have a Google Machine, I know everything!
LOL


Combined by GedMatch $$$ (Anc 23 Liv)


Kit F999918 (Loschbour, Lux., 8ky)

Largest segment = 3.6 cM

Total Half-Match segments (HIR) = 98.6 cM (2.749 Pct)

54 shared segments found for this comparison.

487950 SNPs used for this comparison.

51.420 Pct SNPs are full identical

~~~~~~~~~~~

Kit F999937 (NE1, Hungary, 7.2ky)

Largest segment = 4.8 cM

Total Half-Match segments (HIR) = 208.6 cM (5.817 Pct)

113 shared segments found for this comparison.

481157 SNPs used for this comparison.

52.666 Pct SNPs are full identical

~~~~~~~~~~~~

Kit F999933 (BR2, Hungary, 3.2ky)

Largest segment = 3.9 cM

Total Half-Match segments (HIR) = 181.3 cM (5.056 Pct)

103 shared segments found for this comparison.

483232 SNPs used for this comparison.

52.442 Pct SNPs are full identical

~~~~~~~~~


 
Angela said:
Well, that's interesting. Why am I so matchy/matchy, at least with these people? I never match anyone, practically. My relatives page on 23andme is sad. :)

I guess I should do the gedmatch one on some of the more recent ones, but they're going to be much less, which doesn't make a lot of sense. Roman solder, for example, was 2.61 or something.

As for overall similarity on the calculators, I don't get closer than about a 4.
Click to expand...

Yes, I agree with you. It is very strange that matches with such old samples are much larger than those with more recent samples. Look at my case and the Roman soldier:

Comparing Kit [FTDNA] and Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE) [Migration - F2 - Z]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.

Largest segment = 1.8 cM

Total Half-Match segments (HIR) = 8.3 cM (0.232 Pct)

6 shared segments found for this comparison.

560252 SNPs used for this comparison.

55.293 Pct SNPs are full identical

Comparison took 0.278 seconds.
CPU time used: 0.052 cpu seconds.

Ver: Mar 26 2019 01:00:34
 
Where are you getting these kit numbers? Is there a minimum we should be setting comparisons at?
 
matty74 said:
Where are you getting these kit numbers? Is there a minimum we should be setting comparisons at?
Click to expand...

Hi matty,

The GEDmatch’s number kits of ancient samples I search for Google. In the Genesis GEDmatch calculator I use the default settings, by setting a minimum segment in Centimeters (cM) to be included in total equivalent to 1.0 cM. Just to remember, in cases of comparison with very old samples the recommended cut-off line is 0.5 cM. We can then consider that 1 cM is already a very high cut-off line for comparisons with old samples.
 
Last edited:
Salento said:

@Duarte I’m way smarter than Leonardo, I have a Google Machine, I know everything!
LOL


Combined by GedMatch $$$ (Anc 23 Liv)


Kit F999918 (Loschbour, Lux., 8ky)

Largest segment = 3.6 cM

Total Half-Match segments (HIR) = 98.6 cM (2.749 Pct)

54 shared segments found for this comparison.

487950 SNPs used for this comparison.

51.420 Pct SNPs are full identical

~~~~~~~~~~~

Kit F999937 (NE1, Hungary, 7.2ky)

Largest segment = 4.8 cM

Total Half-Match segments (HIR) = 208.6 cM (5.817 Pct)

113 shared segments found for this comparison.

481157 SNPs used for this comparison.

52.666 Pct SNPs are full identical

~~~~~~~~~~~~

Kit F999933 (BR2, Hungary, 3.2ky)

Largest segment = 3.9 cM

Total Half-Match segments (HIR) = 181.3 cM (5.056 Pct)

103 shared segments found for this comparison.

483232 SNPs used for this comparison.

52.442 Pct SNPs are full identical

~~~~~~~~~
Click to expand...

lol you said Google machine :)
 
One-to-One vs Q matching One-to-One

1-to-1

Kit F999916 (LBK, Stuttgart, 7ky)

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.

Largest segment = 4.8 cM

Total Half-Match segments (HIR) = 347.4 cM (9.685 Pct)

206 shared segments found for this comparison.

622064 SNPs used for this comparison.

55.363 Pct SNPs are full identical

~~~~~~~~

Q-Matching 1-to-1

Kit F999916 (LBK, Stuttgart, 7ky)

Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.

Total cM: 514.56
Largest segment cM: 6.18
Total segments: 315
Total gap-induced breaks: 0
 
How could anyone be that related to people who died 1000+ years ago? I was always in doubt that anyone (including me :) ) would reach cousin level relatedness with these people but i stand corrected. Time for me to bash pigs with clubs or pick beans lol :p
 
davef said:
How could anyone be that related to people who died 1000+ years ago? I was always in doubt that anyone (including me :) ) would reach cousin level relatedness with these people but i stand corrected. Time for me to bash pigs with clubs or pick beans lol :p
Click to expand...

probably 1000+ years of incest, Obviously :laughing:
 
Did I do this correctly?

[h=1]GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0[/h][SIZE=-1]Software Version Mar 26 2019 01:00:34[/SIZE]
Comparing Kit A* (*) [Migration - F2 - A] and M828784 (RISE511_Afanasyevo) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]3[/TD]
[TD="align: center"]16,428,593[/TD]
[TD="align: center"]18,603,113[/TD]
[TD="align: center"]1.6[/TD]
[TD="align: center"]209[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]121,065,277[/TD]
[TD="align: center"]122,817,507[/TD]
[TD="align: center"]1.0[/TD]
[TD="align: center"]202[/TD]

[TD="align: center"]14[/TD]
[TD="align: center"]42,977,815[/TD]
[TD="align: center"]46,151,282[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]243[/TD]

Largest segment = 2.2 cM

Total Half-Match segments (HIR) = 4.8 cM (0.133 Pct)

3 shared segments found for this comparison.

357296 SNPs used for this comparison.

52.785 Pct SNPs are full identical

Comparison took 0.027 seconds.
CPU time used: 0.017 cpu seconds.

Ver: Mar 26 2019 01:00:34
 
[h=1]GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0[/h][SIZE=-1]Software Version Mar 26 2019 01:00:34[/SIZE]
Comparing Kit A* (*) [Migration - F2 - A] and M343758 (I0443 Yamnaya) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]1[/TD]
[TD="align: center"]169,580,885[/TD]
[TD="align: center"]171,623,833[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]232[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]73,319,089[/TD]
[TD="align: center"]76,131,244[/TD]
[TD="align: center"]1.8[/TD]
[TD="align: center"]207[/TD]

Largest segment = 2.2 cM

Total Half-Match segments (HIR) = 4.0 cM (0.112 Pct)

2 shared segments found for this comparison.

279223 SNPs used for this comparison.

53.273 Pct SNPs are full identical

Comparison took 0.026 seconds.
CPU time used: 0.014 cpu seconds.

Ver: Mar 26 2019 01:00:34
 
WTF does this mean? Or am I putting in the wrong numbers? I found the Gedmatch kits on this link:

https://www.eupedia.com/forum/archive/index.php/t-34338.html

[h=1]GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0[/h][SIZE=-1]Software Version Mar 26 2019 01:00:34[/SIZE]
Comparing Kit * (*Matty74) [Migration - F2 - A] and M109244 (Saami Kola 25) [Migration - V3 - M]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]1[/TD]
[TD="align: center"]84,996,604[/TD]
[TD="align: center"]86,069,153[/TD]
[TD="align: center"]1.1[/TD]
[TD="align: center"]220[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]92,099,741[/TD]
[TD="align: center"]94,607,607[/TD]
[TD="align: center"]1.9[/TD]
[TD="align: center"]293[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]160,029,212[/TD]
[TD="align: center"]161,653,708[/TD]
[TD="align: center"]3.4[/TD]
[TD="align: center"]242[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]204,166,082[/TD]
[TD="align: center"]207,276,379[/TD]
[TD="align: center"]4.1[/TD]
[TD="align: center"]454[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]234,433,886[/TD]
[TD="align: center"]235,760,817[/TD]
[TD="align: center"]2.9[/TD]
[TD="align: center"]217[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]236,684,794[/TD]
[TD="align: center"]238,015,491[/TD]
[TD="align: center"]4.3[/TD]
[TD="align: center"]280[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]40,082,054[/TD]
[TD="align: center"]41,818,847[/TD]
[TD="align: center"]1.3[/TD]
[TD="align: center"]256[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]52,549,472[/TD]
[TD="align: center"]53,860,097[/TD]
[TD="align: center"]1.2[/TD]
[TD="align: center"]245[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]62,662,704[/TD]
[TD="align: center"]65,056,358[/TD]
[TD="align: center"]1.2[/TD]
[TD="align: center"]223[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]85,471,980[/TD]
[TD="align: center"]87,430,727[/TD]
[TD="align: center"]1.9[/TD]
[TD="align: center"]208[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]122,349,120[/TD]
[TD="align: center"]127,473,880[/TD]
[TD="align: center"]5.1[/TD]
[TD="align: center"]520[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]174,928,385[/TD]
[TD="align: center"]177,111,819[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]224[/TD]

[TD="align: center"]2[/TD]
[TD="align: center"]196,442,418[/TD]
[TD="align: center"]200,126,137[/TD]
[TD="align: center"]2.8[/TD]
[TD="align: center"]313[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]3,142,943[/TD]
[TD="align: center"]4,025,152[/TD]
[TD="align: center"]3.5[/TD]
[TD="align: center"]209[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]25,472,040[/TD]
[TD="align: center"]27,614,316[/TD]
[TD="align: center"]2.8[/TD]
[TD="align: center"]234[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]66,868,609[/TD]
[TD="align: center"]69,000,370[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]298[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]73,837,141[/TD]
[TD="align: center"]76,084,525[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]207[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]107,316,938[/TD]
[TD="align: center"]109,027,157[/TD]
[TD="align: center"]1.3[/TD]
[TD="align: center"]215[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]122,751,953[/TD]
[TD="align: center"]124,441,237[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]235[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]141,712,708[/TD]
[TD="align: center"]143,313,963[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]231[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]149,151,571[/TD]
[TD="align: center"]150,675,977[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]241[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]190,877,111[/TD]
[TD="align: center"]192,298,277[/TD]
[TD="align: center"]3.1[/TD]
[TD="align: center"]212[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]21,392,977[/TD]
[TD="align: center"]22,979,347[/TD]
[TD="align: center"]1.0[/TD]
[TD="align: center"]205[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]24,269,622[/TD]
[TD="align: center"]25,675,203[/TD]
[TD="align: center"]3.1[/TD]
[TD="align: center"]245[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]29,802,167[/TD]
[TD="align: center"]31,739,254[/TD]
[TD="align: center"]1.8[/TD]
[TD="align: center"]228[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]42,673,312[/TD]
[TD="align: center"]44,859,761[/TD]
[TD="align: center"]1.4[/TD]
[TD="align: center"]217[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]132,961,058[/TD]
[TD="align: center"]135,989,375[/TD]
[TD="align: center"]1.8[/TD]
[TD="align: center"]216[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]152,777,262[/TD]
[TD="align: center"]154,427,319[/TD]
[TD="align: center"]3.2[/TD]
[TD="align: center"]233[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]167,698,563[/TD]
[TD="align: center"]170,462,979[/TD]
[TD="align: center"]3.2[/TD]
[TD="align: center"]348[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]181,519,492[/TD]
[TD="align: center"]182,522,272[/TD]
[TD="align: center"]2.5[/TD]
[TD="align: center"]221[/TD]

[TD="align: center"]4[/TD]
[TD="align: center"]182,727,134[/TD]
[TD="align: center"]183,709,536[/TD]
[TD="align: center"]3.1[/TD]
[TD="align: center"]236[/TD]

[TD="align: center"]5[/TD]
[TD="align: center"]77,284,789[/TD]
[TD="align: center"]79,028,586[/TD]
[TD="align: center"]2.4[/TD]
[TD="align: center"]220[/TD]

[TD="align: center"]5[/TD]
[TD="align: center"]107,073,806[/TD]
[TD="align: center"]108,644,218[/TD]
[TD="align: center"]1.4[/TD]
[TD="align: center"]206[/TD]

[TD="align: center"]5[/TD]
[TD="align: center"]132,008,644[/TD]
[TD="align: center"]133,796,095[/TD]
[TD="align: center"]1.8[/TD]
[TD="align: center"]291[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]63,966,166[/TD]
[TD="align: center"]68,681,198[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]372[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]86,702,671[/TD]
[TD="align: center"]88,794,199[/TD]
[TD="align: center"]1.2[/TD]
[TD="align: center"]247[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]131,522,786[/TD]
[TD="align: center"]132,805,848[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]219[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]134,965,925[/TD]
[TD="align: center"]136,569,416[/TD]
[TD="align: center"]1.5[/TD]
[TD="align: center"]224[/TD]

[TD="align: center"]8[/TD]
[TD="align: center"]4,491,502[/TD]
[TD="align: center"]4,987,979[/TD]
[TD="align: center"]1.4[/TD]
[TD="align: center"]204[/TD]

[TD="align: center"]8[/TD]
[TD="align: center"]74,291,106[/TD]
[TD="align: center"]76,044,206[/TD]
[TD="align: center"]1.2[/TD]
[TD="align: center"]246[/TD]

[TD="align: center"]8[/TD]
[TD="align: center"]134,215,112[/TD]
[TD="align: center"]135,307,548[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]319[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]12,922,330[/TD]
[TD="align: center"]14,313,712[/TD]
[TD="align: center"]2.9[/TD]
[TD="align: center"]306[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]16,084,769[/TD]
[TD="align: center"]16,936,082[/TD]
[TD="align: center"]1.7[/TD]
[TD="align: center"]242[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]30,955,393[/TD]
[TD="align: center"]33,113,322[/TD]
[TD="align: center"]1.9[/TD]
[TD="align: center"]294[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]71,862,129[/TD]
[TD="align: center"]74,229,859[/TD]
[TD="align: center"]1.4[/TD]
[TD="align: center"]333[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]78,892,526[/TD]
[TD="align: center"]79,778,247[/TD]
[TD="align: center"]2.0[/TD]
[TD="align: center"]208[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]82,200,253[/TD]
[TD="align: center"]84,250,605[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]358[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]20,638,885[/TD]
[TD="align: center"]24,278,748[/TD]
[TD="align: center"]2.9[/TD]
[TD="align: center"]412[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]29,586,483[/TD]
[TD="align: center"]30,641,430[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]223[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]33,788,915[/TD]
[TD="align: center"]35,195,406[/TD]
[TD="align: center"]1.1[/TD]
[TD="align: center"]212[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]53,252,315[/TD]
[TD="align: center"]55,147,591[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]354[/TD]

[TD="align: center"]10[/TD]
[TD="align: center"]58,504,123[/TD]
[TD="align: center"]60,759,141[/TD]
[TD="align: center"]1.8[/TD]
[TD="align: center"]230[/TD]

[TD="align: center"]11[/TD]
[TD="align: center"]4,460,348[/TD]
[TD="align: center"]5,264,146[/TD]
[TD="align: center"]1.7[/TD]
[TD="align: center"]218[/TD]

[TD="align: center"]11[/TD]
[TD="align: center"]7,597,280[/TD]
[TD="align: center"]8,369,415[/TD]
[TD="align: center"]1.5[/TD]
[TD="align: center"]229[/TD]

[TD="align: center"]11[/TD]
[TD="align: center"]86,414,282[/TD]
[TD="align: center"]88,033,661[/TD]
[TD="align: center"]1.7[/TD]
[TD="align: center"]275[/TD]

[TD="align: center"]11[/TD]
[TD="align: center"]122,204,076[/TD]
[TD="align: center"]123,367,686[/TD]
[TD="align: center"]3.0[/TD]
[TD="align: center"]239[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]2,145,507[/TD]
[TD="align: center"]3,140,979[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]204[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]24,441,358[/TD]
[TD="align: center"]25,482,128[/TD]
[TD="align: center"]1.9[/TD]
[TD="align: center"]217[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]49,226,743[/TD]
[TD="align: center"]52,326,956[/TD]
[TD="align: center"]2.6[/TD]
[TD="align: center"]282[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]67,021,637[/TD]
[TD="align: center"]68,150,122[/TD]
[TD="align: center"]2.2[/TD]
[TD="align: center"]222[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]92,214,658[/TD]
[TD="align: center"]93,502,188[/TD]
[TD="align: center"]1.7[/TD]
[TD="align: center"]204[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]128,245,614[/TD]
[TD="align: center"]128,923,273[/TD]
[TD="align: center"]3.6[/TD]
[TD="align: center"]203[/TD]

[TD="align: center"]13[/TD]
[TD="align: center"]34,029,692[/TD]
[TD="align: center"]35,367,231[/TD]
[TD="align: center"]1.6[/TD]
[TD="align: center"]215[/TD]

[TD="align: center"]13[/TD]
[TD="align: center"]91,978,455[/TD]
[TD="align: center"]93,740,906[/TD]
[TD="align: center"]1.7[/TD]
[TD="align: center"]214[/TD]

[TD="align: center"]14[/TD]
[TD="align: center"]42,242,938[/TD]
[TD="align: center"]44,619,813[/TD]
[TD="align: center"]1.7[/TD]
[TD="align: center"]238[/TD]

[TD="align: center"]14[/TD]
[TD="align: center"]51,992,858[/TD]
[TD="align: center"]53,289,281[/TD]
[TD="align: center"]1.3[/TD]
[TD="align: center"]246[/TD]

[TD="align: center"]14[/TD]
[TD="align: center"]69,053,079[/TD]
[TD="align: center"]70,409,157[/TD]
[TD="align: center"]1.7[/TD]
[TD="align: center"]260[/TD]

[TD="align: center"]14[/TD]
[TD="align: center"]82,075,469[/TD]
[TD="align: center"]83,998,310[/TD]
[TD="align: center"]1.6[/TD]
[TD="align: center"]257[/TD]

[TD="align: center"]15[/TD]
[TD="align: center"]79,835,141[/TD]
[TD="align: center"]81,017,619[/TD]
[TD="align: center"]1.3[/TD]
[TD="align: center"]219[/TD]

[TD="align: center"]15[/TD]
[TD="align: center"]91,919,792[/TD]
[TD="align: center"]93,100,409[/TD]
[TD="align: center"]4.1[/TD]
[TD="align: center"]328[/TD]

[TD="align: center"]16[/TD]
[TD="align: center"]52,392,483[/TD]
[TD="align: center"]54,000,792[/TD]
[TD="align: center"]2.7[/TD]
[TD="align: center"]213[/TD]

[TD="align: center"]16[/TD]
[TD="align: center"]60,483,967[/TD]
[TD="align: center"]62,643,120[/TD]
[TD="align: center"]1.9[/TD]
[TD="align: center"]213[/TD]

[TD="align: center"]16[/TD]
[TD="align: center"]82,378,044[/TD]
[TD="align: center"]82,820,866[/TD]
[TD="align: center"]1.1[/TD]
[TD="align: center"]204[/TD]

[TD="align: center"]16[/TD]
[TD="align: center"]87,869,640[/TD]
[TD="align: center"]90,037,828[/TD]
[TD="align: center"]2.9[/TD]
[TD="align: center"]205[/TD]

[TD="align: center"]18[/TD]
[TD="align: center"]40,058,395[/TD]
[TD="align: center"]42,329,076[/TD]
[TD="align: center"]1.0[/TD]
[TD="align: center"]226[/TD]

[TD="align: center"]19[/TD]
[TD="align: center"]32,472,010[/TD]
[TD="align: center"]35,012,367[/TD]
[TD="align: center"]4.2[/TD]
[TD="align: center"]388[/TD]

[TD="align: center"]19[/TD]
[TD="align: center"]56,588,096[/TD]
[TD="align: center"]58,774,071[/TD]
[TD="align: center"]4.4[/TD]
[TD="align: center"]377[/TD]

[TD="align: center"]20[/TD]
[TD="align: center"]10,454,074[/TD]
[TD="align: center"]12,354,280[/TD]
[TD="align: center"]3.5[/TD]
[TD="align: center"]335[/TD]

[TD="align: center"]20[/TD]
[TD="align: center"]46,845,066[/TD]
[TD="align: center"]48,119,430[/TD]
[TD="align: center"]1.7[/TD]
[TD="align: center"]209[/TD]

[TD="align: center"]22[/TD]
[TD="align: center"]21,344,884[/TD]
[TD="align: center"]23,379,985[/TD]
[TD="align: center"]4.8[/TD]
[TD="align: center"]205[/TD]

[TD="align: center"]22[/TD]
[TD="align: center"]39,268,785[/TD]
[TD="align: center"]41,268,925[/TD]
[TD="align: center"]1.6[/TD]
[TD="align: center"]210[/TD]

[TD="align: center"]22[/TD]
[TD="align: center"]45,897,997[/TD]
[TD="align: center"]47,369,660[/TD]
[TD="align: center"]2.3[/TD]
[TD="align: center"]275[/TD]

Largest segment = 5.1 cM

Total Half-Match segments (HIR) = 187.1 cM (5.220 Pct)

82 shared segments found for this comparison.

371288 SNPs used for this comparison.

46.313 Pct SNPs are full identical

Comparison took 0.035 seconds.
CPU time used: 0.017 cpu seconds.

Ver: Mar 26 2019 01:00:34
 
@ Salento
Here in Brazil when someone have not sure about some theme is said: Ask Dr. Google. Maybe he has the answer. You said Google Machine. It's the same thing . LOL.

@ matty
I'm as confused as you are. I am waiting for the scholars to manifest and bring some light to everything that has been seen and said in this thread. Unfortunately, this thread is inconclusive :)
 
Duarte said:
Yes, I agree with you. It is very strange that matches with such old samples are much larger than those with more recent samples. Look at my case and the Roman soldier:

Comparing Kit [FTDNA] and Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE) [Migration - F2 - Z]

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.

Largest segment = 1.8 cM

Total Half-Match segments (HIR) = 8.3 cM (0.232 Pct)

6 shared segments found for this comparison.

560252 SNPs used for this comparison.

55.293 Pct SNPs are full identical

Comparison took 0.278 seconds.
CPU time used: 0.052 cpu seconds.

Ver: Mar 26 2019 01:00:34
Click to expand...

Kit Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE)

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]1[/TD]
[TD="align: center"]193,942,375[/TD]
[TD="align: center"]195,222,580[/TD]
[TD="align: center"]1.1[/TD]
[TD="align: center"]217[/TD]

[TD="align: center"]6[/TD]
[TD="align: center"]39,354,375[/TD]
[TD="align: center"]40,319,394[/TD]
[TD="align: center"]1.8[/TD]
[TD="align: center"]235[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]3,718,051[/TD]
[TD="align: center"]4,371,785[/TD]
[TD="align: center"]1.3[/TD]
[TD="align: center"]213[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]46,587[/TD]
[TD="align: center"]739,913[/TD]
[TD="align: center"]1.2[/TD]
[TD="align: center"]312[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]16,355,626[/TD]
[TD="align: center"]16,898,603[/TD]
[TD="align: center"]1.1[/TD]
[TD="align: center"]203[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]131,576,002[/TD]
[TD="align: center"]132,176,454[/TD]
[TD="align: center"]1.5[/TD]
[TD="align: center"]223[/TD]

Largest segment = 1.8 cM

Total Half-Match segments (HIR) = 7.9 cM (0.219 Pct)

6 shared segments found for this comparison.

611070 SNPs used for this comparison.

53.806 Pct SNPs are full identical

~~~~~~~~~~~

Q matching

Kit Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE)

Precision: 30.0
cM threshold: 1.0
Maximum cM: No Limit
Gap threshold: 2.0 cm's
All SNPs used.

ChrB37 Start Pos'nB37 End Pos'nSNPsCentimorgans (cM)Q

[TD="align: center"]1[/TD]
[TD="align: center"]52,418,140[/TD]
[TD="align: center"]53,591,463[/TD]
[TD="align: center"]178[/TD]
[TD="align: center"]1.05[/TD]
[TD="align: center"]20.0[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]120,051,446[/TD]
[TD="align: center"]145,634,490[/TD]
[TD="align: center"]171[/TD]
[TD="align: center"]1.76[/TD]
[TD="align: center"]4.0[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]160,141,636[/TD]
[TD="align: center"]160,738,146[/TD]
[TD="align: center"]138[/TD]
[TD="align: center"]1.65[/TD]
[TD="align: center"]5.0[/TD]

[TD="align: center"]1[/TD]
[TD="align: center"]193,938,944[/TD]
[TD="align: center"]195,224,639[/TD]
[TD="align: center"]215[/TD]
[TD="align: center"]1.02[/TD]
[TD="align: center"]28.0[/TD]



ChrB37 Start Pos'nB37 End Pos'nSNPsCentimorgans (cM)Q

[TD="align: center"]2[/TD]
[TD="align: center"]21,259,612[/TD]
[TD="align: center"]22,056,486[/TD]
[TD="align: center"]161[/TD]
[TD="align: center"]1.05[/TD]
[TD="align: center"]5.0[/TD]



ChrB37 Start Pos'nB37 End Pos'nSNPsCentimorgans (cM)Q

[TD="align: center"]3[/TD]
[TD="align: center"]2,273,611[/TD]
[TD="align: center"]2,608,506[/TD]
[TD="align: center"]122[/TD]
[TD="align: center"]1.38[/TD]
[TD="align: center"]1.0[/TD]

[TD="align: center"]3[/TD]
[TD="align: center"]182,159,427[/TD]
[TD="align: center"]182,878,838[/TD]
[TD="align: center"]143[/TD]
[TD="align: center"]1.34[/TD]
[TD="align: center"]0.0[/TD]



ChrB37 Start Pos'nB37 End Pos'nSNPsCentimorgans (cM)Q

[TD="align: center"]6[/TD]
[TD="align: center"]7,830,141[/TD]
[TD="align: center"]8,392,223[/TD]
[TD="align: center"]174[/TD]
[TD="align: center"]1.19[/TD]
[TD="align: center"]0.0[/TD]

[TD="align: center"]6[/TD]
[TD="align: center"]39,349,530[/TD]
[TD="align: center"]40,321,473[/TD]
[TD="align: center"]235[/TD]
[TD="align: center"]1.77[/TD]
[TD="align: center"]22.0[/TD]



ChrB37 Start Pos'nB37 End Pos'nSNPsCentimorgans (cM)Q

[TD="align: center"]7[/TD]
[TD="align: center"]3,710,751[/TD]
[TD="align: center"]4,372,595[/TD]
[TD="align: center"]213[/TD]
[TD="align: center"]1.32[/TD]
[TD="align: center"]6.0[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]91,280,470[/TD]
[TD="align: center"]92,652,339[/TD]
[TD="align: center"]157[/TD]
[TD="align: center"]1.25[/TD]
[TD="align: center"]5.0[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]129,973,222[/TD]
[TD="align: center"]130,678,154[/TD]
[TD="align: center"]147[/TD]
[TD="align: center"]1.48[/TD]
[TD="align: center"]0.0[/TD]



ChrB37 Start Pos'nB37 End Pos'nSNPsCentimorgans (cM)Q

[TD="align: center"]8[/TD]
[TD="align: center"]52,998,935[/TD]
[TD="align: center"]53,691,001[/TD]
[TD="align: center"]140[/TD]
[TD="align: center"]1.20[/TD]
[TD="align: center"]12.0[/TD]

[TD="align: center"]8[/TD]
[TD="align: center"]103,018,338[/TD]
[TD="align: center"]103,542,538[/TD]
[TD="align: center"]130[/TD]
[TD="align: center"]1.06[/TD]
[TD="align: center"]6.0[/TD]



ChrB37 Start Pos'nB37 End Pos'nSNPsCentimorgans (cM)Q

[TD="align: center"]9[/TD]
[TD="align: center"]257,973[/TD]
[TD="align: center"]741,307[/TD]
[TD="align: center"]276[/TD]
[TD="align: center"]1.19[/TD]
[TD="align: center"]33.0[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]16,354,904[/TD]
[TD="align: center"]16,903,446[/TD]
[TD="align: center"]203[/TD]
[TD="align: center"]1.09[/TD]
[TD="align: center"]10.0[/TD]



ChrB37 Start Pos'nB37 End Pos'nSNPsCentimorgans (cM)Q

[TD="align: center"]12[/TD]
[TD="align: center"]43,993,985[/TD]
[TD="align: center"]45,958,333[/TD]
[TD="align: center"]292[/TD]
[TD="align: center"]1.41[/TD]
[TD="align: center"]5.0[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]54,185,879[/TD]
[TD="align: center"]55,041,275[/TD]
[TD="align: center"]174[/TD]
[TD="align: center"]1.40[/TD]
[TD="align: center"]3.0[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]114,850,094[/TD]
[TD="align: center"]115,383,818[/TD]
[TD="align: center"]180[/TD]
[TD="align: center"]1.15[/TD]
[TD="align: center"]4.0[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]127,414,787[/TD]
[TD="align: center"]127,865,176[/TD]
[TD="align: center"]142[/TD]
[TD="align: center"]1.63[/TD]
[TD="align: center"]5.0[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]131,575,390[/TD]
[TD="align: center"]132,182,209[/TD]
[TD="align: center"]222[/TD]
[TD="align: center"]1.47[/TD]
[TD="align: center"]10.0[/TD]



ChrB37 Start Pos'nB37 End Pos'nSNPsCentimorgans (cM)Q

[TD="align: center"]13[/TD]
[TD="align: center"]108,397,711[/TD]
[TD="align: center"]108,747,731[/TD]
[TD="align: center"]130[/TD]
[TD="align: center"]1.05[/TD]
[TD="align: center"]1.0[/TD]



ChrB37 Start Pos'nB37 End Pos'nSNPsCentimorgans (cM)Q

[TD="align: center"]16[/TD]
[TD="align: center"]187,509[/TD]
[TD="align: center"]878,324[/TD]
[TD="align: center"]151[/TD]
[TD="align: center"]2.73[/TD]
[TD="align: center"]3.0[/TD]



ChrB37 Start Pos'nB37 End Pos'nSNPsCentimorgans (cM)Q

[TD="align: center"]17[/TD]
[TD="align: center"]4,699,947[/TD]
[TD="align: center"]5,415,287[/TD]
[TD="align: center"]137[/TD]
[TD="align: center"]1.52[/TD]
[TD="align: center"]4.0[/TD]



ChrB37 Start Pos'nB37 End Pos'nSNPsCentimorgans (cM)Q

[TD="align: center"]20[/TD]
[TD="align: center"]9,289,826[/TD]
[TD="align: center"]9,649,074[/TD]
[TD="align: center"]137[/TD]
[TD="align: center"]1.03[/TD]
[TD="align: center"]15.0[/TD]

[TD="align: center"]20[/TD]
[TD="align: center"]19,355,809[/TD]
[TD="align: center"]19,707,269[/TD]
[TD="align: center"]152[/TD]
[TD="align: center"]1.24[/TD]
[TD="align: center"]0.0[/TD]




Total cM: 35.44
Largest segment cM: 2.73
Total segments: 26
Total gap-induced breaks: 0
Top 10 Q scores:
Q-score: 33.00
Q-score: 28.00
Q-score: 22.00
Q-score: 20.00
Q-score: 15.00
Q-score: 12.00
Q-score: 10.00
Q-score: 6.00
Q-score: 5.00
Q-score: 4.00
 
Salento said:
Kit Z061309 (FN_2 Roman soldier Freiham-Nord, Munich c. 300 CE)

Segment threshold size will be adjusted dynamically between 200 and 400 SNPs
Minimum segment cM to be included in total = 1.0 cM
Mismatch-bunching Limit will be adjusted dynamically to 60 percent of the segment threshold size for any given segment.


ChrB37 Start Pos'nB37 End Pos'nCentimorgans (cM)SNPs

[TD="align: center"]1[/TD]
[TD="align: center"]193,942,375[/TD]
[TD="align: center"]195,222,580[/TD]
[TD="align: center"]1.1[/TD]
[TD="align: center"]217[/TD]

[TD="align: center"]6[/TD]
[TD="align: center"]39,354,375[/TD]
[TD="align: center"]40,319,394[/TD]
[TD="align: center"]1.8[/TD]
[TD="align: center"]235[/TD]

[TD="align: center"]7[/TD]
[TD="align: center"]3,718,051[/TD]
[TD="align: center"]4,371,785[/TD]
[TD="align: center"]1.3[/TD]
[TD="align: center"]213[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]46,587[/TD]
[TD="align: center"]739,913[/TD]
[TD="align: center"]1.2[/TD]
[TD="align: center"]312[/TD]

[TD="align: center"]9[/TD]
[TD="align: center"]16,355,626[/TD]
[TD="align: center"]16,898,603[/TD]
[TD="align: center"]1.1[/TD]
[TD="align: center"]203[/TD]

[TD="align: center"]12[/TD]
[TD="align: center"]131,576,002[/TD]
[TD="align: center"]132,176,454[/TD]
[TD="align: center"]1.5[/TD]
[TD="align: center"]223[/TD]

Largest segment = 1.8 cM

Total Half-Match segments (HIR) = 7.9 cM (0.219 Pct)

6 shared segments found for this comparison.

611070 SNPs used for this comparison.

53.806 Pct SNPs are full identical
Click to expand...

We have a cousin who fought to conquer Alemannia. Have Caesar :)
 
Duarte said:
We have a cousin who fought to conquer Alemannia. Have Caesar :)
Click to expand...

Strangely we both score 1.8 cM, he’s one of your top matches at MyTrueAnc., but he’s not one of mine.
 
Salento said:
Strangely we both score 1.8 cM, he’s one of your top matches at MyTrueAnc., but he’s not one of mine.
Click to expand...

I agree. Very strange :petrified:
 
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