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Thread: Mytrueancestry.com

  1. #376
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    1 out of 1 members found this post helpful.
    Quote Originally Posted by Regio X View Post
    Ok. Now please open Genesis and check your kit against this very Illyrian 1200 BC (kit SZ6386770) using One-to-one. The idea is to compare the results of MyTrueAncestry and Genesis-GedMatch's.
    1200 BC Illyrian vs 2019 AD Salento :)

    Largest segment = 1.2 cM

    Total Half-Match segments (HIR) = 1.2 cM (0.034 Pct)

    1 shared segments found for this comparison.

    287564 SNPs used for this comparison.

    54.213 Pct SNPs are full identical

    Comparison took 0.291 seconds.
    CPU time used: 0.038 cpu seconds.

    But you oh Messapo, Tamer of Horses ... that no one, with neither iron nor fire can break down! “Virgil”

  2. #377
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    My result so high of 80.11 coincide with this man.MyTrueAncestry tells me that it belonged to the haplogroups haplogroups F-P146 and I.

    https://amtdb.org/records/946

    RISE47


    identifier RISE47
    alternative_identifiers N 358 grave 3 skeleton 8
    country Denmark
    continent Europe
    region Scandinavia
    culture Nordic_BA
    epoch Bronze Age
    group BASC
    comment -
    latitude 56.97
    longitude 9.55
    sex M
    site Sebber skole
    site_detail -
    mt_hg I
    ychr_hg R1b1a1a2
    year_from -1499
    year_to -1324
    date_detail 1499-1324 calBCE (3153±26 BP, OxA-28258)
    bp 3153±26
    c14_lab_code OxA-28258
    c14_sample_tag True
    c14_layer_tag -
    avg_coverage -
    sequence_source <NA>
    FASTA download
    Metadata download
    references Allentoft et al. 2015. Population genomics of Bronze Age Eurasia. Nature, 522(7555), 167-172. (link, data)
    ychr_snps R1:CTS2680:14424045C->T, R:L1347:22818334C->T, R1b1a:L754:22889018G->A, R1b1a:A702:10038192G->A,

  3. #378
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    NG Helix + X chr
    Full Unredacted:


  4. #379
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    1 out of 1 members found this post helpful.
    Below, my best match with ancient samples, according Archaic DNA matches of GEDmatch.
    It will be that Mr. mlukas think that my results, mainly the first one result, are a bullshit?

    1) F999918 (Loschbour, Lux.)
    Largest segment = 5.3 cM
    Total of segments > 1 cM = 24.0 cM
    9 matching segments

    651432 SNPs used for this comparison.

    Comparison took 0.18067 seconds.

    Chr Start Location End Location Centimorgans (cM) SNPs
    2 199,959,143 202,251,081 1.6 523


    Chr Start Location End Location Centimorgans (cM) SNPs
    3 121,007,341 124,168,803 2.0 639


    Chr Start Location End Location Centimorgans (cM) SNPs
    5 168,130,883 170,215,669 5.3 772


    Chr Start Location End Location Centimorgans (cM) SNPs
    7 93,351,349 94,969,903 1.7 539


    Chr Start Location End Location Centimorgans (cM) SNPs
    11 64,694,957 67,174,778 1.7 535
    11 73,572,624 76,549,817 2.9 690


    Chr Start Location End Location Centimorgans (cM) SNPs
    12 46,523,554 49,661,585 1.9 621


    Chr Start Location End Location Centimorgans (cM) SNPs
    14 33,819,263 36,259,816 2.4 509


    Chr Start Location End Location Centimorgans (cM) SNPs
    19 34,138,106 36,511,670 4.4 587

    2) F999937 (NE1, Hungary)
    Largest segment = 4.2 cM
    Total of segments > 1 cM = 27.9 cM
    11 matching segments

    641142 SNPs used for this comparison.

    Comparison took 0.24602 seconds.

    Chr Start Location End Location Centimorgans (cM) SNPs
    1 169,174,798 170,862,247 1.3 626



    Chr Start Location End Location Centimorgans (cM) SNPs
    2 162,348,971 165,446,177 2.0 522
    2 168,913,845 170,340,174 3.4 513

    Chr Start Location End Location Centimorgans (cM) SNPs
    3 79,268,774 85,601,270 1.6 815

    Chr Start Location End Location Centimorgans (cM) SNPs
    5 141,746,135 143,033,710 2.6 514

    Chr Start Location End Location Centimorgans (cM) SNPs
    6 79,513,941 82,460,020 1.2 536
    6 164,686,566 166,543,907 4.2 588


    Chr Start Location End Location Centimorgans (cM) SNPs
    7 8,572,785 10,482,754 3.9 639

    Chr Start Location End Location Centimorgans (cM) SNPs
    8 17,456,625 18,665,612 2.6 704

    Chr Start Location End Location Centimorgans (cM) SNPs
    10 115,771,517 118,305,395 3.3 586



    3) F999916 (LBK, Stuttgart)
    Largest segment = 3.9 cM
    Total of segments > 1 cM = 19.9 cM
    9 matching segments

    647360 SNPs used for this comparison.

    Comparison took 0.18539 seconds.

    Chr Start Location End Location Centimorgans (cM) SNPs
    1 96,887,637 98,992,304 1.6 893


    Chr Start Location End Location Centimorgans (cM) SNPs
    2 66,153,166 67,862,763 2.2 541


    Chr Start Location End Location Centimorgans (cM) SNPs
    3 48,385,378 53,971,519 1.8 915


    Chr Start Location End Location Centimorgans (cM) SNPs
    5 136,514,492 141,052,063 2.9 770


    Chr Start Location End Location Centimorgans (cM) SNPs
    7 139,186,936 141,179,403 2.5 565



    Chr Start Location End Location Centimorgans (cM) SNPs
    8 62,167,326 64,668,264 1.7 502

    Chr Start Location End Location Centimorgans (cM) SNPs
    10 73,126,274 76,119,819 1.6 511


    Chr Start Location End Location Centimorgans (cM) SNPs
    11 37,476,118 40,466,640 1.9 524


    Chr Start Location End Location Centimorgans (cM) SNPs
    20 19,342,130 20,932,510 3.9 550




    4) F999933 (BR2, Hungary)
    Largest segment = 2.9 cM
    Total of segments > 1 cM = 13.4 cM
    6 matching segments

    644040 SNPs used for this comparison.

    Comparison took 0.17078 seconds.

    Chr Start Location End Location Centimorgans (cM) SNPs
    1 95,792,176 97,665,446 1.0 630

    Chr Start Location End Location Centimorgans (cM) SNPs
    2 122,860,984 126,194,258 2.9 700

    Chr Start Location End Location Centimorgans (cM) SNPs
    6 52,642,890 54,727,622 2.8 649
    6 100,699,314 103,759,084 2.2 513

    Chr Start Location End Location Centimorgans (cM) SNPs
    12 30,313,333 32,133,446 1.7 510


    Chr Start Location End Location Centimorgans (cM) SNPs
    20 37,338,845 40,017,334 2.7 583
    “Às vezes ouço passar o vento; e só de ouvir o vento passar, vale a pena ter nascido”.
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  5. #380
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    All interested here should read this:
    https://isogg.org/wiki/Identical_by_descent

    Quote Originally Posted by Salento View Post
    1200 BC Illyrian vs 2019 AD Salento :)
    Largest segment = 1.2 cM
    Total Half-Match segments (HIR) = 1.2 cM (0.034 Pct)
    1 shared segments found for this comparison.
    287564 SNPs used for this comparison.
    54.213 Pct SNPs are full identical
    Comparison took 0.291 seconds.
    CPU time used: 0.038 cpu seconds.
    I prefer to believe it's a misunderstanding, at the best scenario.
    Still, I think they own you guys an explanation on what they're doing. The feature of similarities with ancient samples seems nice, even if it's based on K15, but I'm not really sure about this another one.

  6. #381
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    Quote Originally Posted by Salento View Post
    1200 BC Illyrian vs 2019 AD Salento :)

    Mytruancestry


    Gedmatch




    This is what I suggested since the begining:) So everyone can see now the true matches with those ancients.

  7. #382
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    Quote Originally Posted by Duarte View Post
    Below, my best match with ancient samples, according Archaic DNA matches of GEDmatch.
    It will be that Mr. mlukas think that my results, mainly the first one result, are a bullshit?

    1
    You must find for comparison those sample which you have as matches from MTA, like Salento with Illyrian above, to check real shared segments on Gedmatch and MTA.

    For some reason they don't give you Loschbour, LBK, NE1 or BR2 samples, interesting why btw.

  8. #383
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    Quote Originally Posted by Regio X View Post
    All interested here should read this:
    https://isogg.org/wiki/Identical_by_descent
    This is interesting, but not sure it's enough for explaining the results:
    "The companies' matching algorithms do not treat the paternal and maternal chromosomes separately. Consequently consecutive SNP results for a short segment of DNA may appear to be half-identical in two individuals when in actuality the DNA sequences are not identical because the SNPs match on opposing chromosomes or because of errors in the matching algorithms. False matches can be the result of pseudosegments (matching alleles zig-zagging backwards and forwards between the maternal side and the paternal side), compound segments and fuzzy boundaries.[5][6] For a good illustration and explanation of a pseudosegment (also known as a spurious segment, an erroneous segment or a phantom segment) see Don Worth's diagram."
    (...)
    "False positive matches are more likely to be seen in unphased data (phasing is the process of assigning alleles to the mother or the father.) The highest degree of accuracy is achieved by using the phased data from a two-parent/one child trio, where the error rate for phasing is only 0.01%. In the absence of trio data it is possible to phase data by inference using samples from reference populations. This is known as statistical phasing, computational phasing or algorithm-based phasing. AncestryDNA is currently the only company to phase all the customer data prior to matching. Ancestry uses a proprietary phasing algorithm known as Underdog." (...)

    Apparently a bit outdated article though, 'cause Ancestry is not the only one.

    From the 23andMe Ancestry Composition guide (https://www.23andme.com/en-int/ances...ition-guide/):
    "Recall wrinkle #2 above. For each customer, we measure a set of genotypes (pairs of alleles). But what we really want is a pair of haplotypes for each chromosome. That is, we want to figure out the series of alleles present on each of your two copies of, for example, chromosome 7: one you received from your mother and one you received from your father. To do so, we first build a very large "phasing reference panel" using data from hundreds of thousands of customers. We then use Eagle (Loh et al., 2016) to phase these individuals jointly. Eagle uses sophisticated statistics and a very clever algorithm to do this." (...)

  9. #384
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    Quote Originally Posted by mlukas View Post
    This is what I suggested since the begining:) So everyone can see now the true matches with those ancients.
    imho

    In all fairness, since they are not involved in this debate yet, we should give them the benefit of the doubt.

    If they're listening, they’re welcome to join and make their case. :)

  10. #385
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    The type of sample doesn't matter.
    What matters is that:
    You said:

    Quote Originally Posted by mlukas View Post
    Guys, do you really didn';t notice that?:)

    This is just biggest bullshit lately on Genetic Internet...

    Do you know your one-to-many list on Gematch? What is your highest match (besides close family like parents) for me about 30 cM. And Gedmatch says common ancestor was about 4.5 generation ago.



    So what the hell means if you have common 80 cM with sample from Bronze Age Jutland? (It was example from another forum, but here were also posted very high "ancient matches") How many generation ago it was? Go figure It is impossible and completely biased result.




    Posting it, is like posting random numbers taken from the... Nobody can defend those cM values in two post above. Unless you believe you match 3500 years old sample on the same level as 3rd cousin...
    And I say that:

    Quote Originally Posted by Duarte View Post
    Below, my best match with ancient samples, according Archaic DNA matches of GEDmatch.
    It will be that Mr. mlukas think that my results, mainly the first one result, are a bullshit?

    1) F999918 (Loschbour, Lux.)
    Largest segment = 5.3 cM
    Total of segments > 1 cM = 24.0 cM
    9 matching segments

    651432 SNPs used for this comparison.

    Comparison took 0.18067 seconds.

    Chr Start Location End Location Centimorgans (cM) SNPs
    2 199,959,143 202,251,081 1.6 523


    Chr Start Location End Location Centimorgans (cM) SNPs
    3 121,007,341 124,168,803 2.0 639


    Chr Start Location End Location Centimorgans (cM) SNPs
    5 168,130,883 170,215,669 5.3 772


    Chr Start Location End Location Centimorgans (cM) SNPs
    7 93,351,349 94,969,903 1.7 539


    Chr Start Location End Location Centimorgans (cM) SNPs
    11 64,694,957 67,174,778 1.7 535
    11 73,572,624 76,549,817 2.9 690


    Chr Start Location End Location Centimorgans (cM) SNPs
    12 46,523,554 49,661,585 1.9 621


    Chr Start Location End Location Centimorgans (cM) SNPs
    14 33,819,263 36,259,816 2.4 509


    Chr Start Location End Location Centimorgans (cM) SNPs
    19 34,138,106 36,511,670 4.4 587

    2) F999937 (NE1, Hungary)
    Largest segment = 4.2 cM
    Total of segments > 1 cM = 27.9 cM
    11 matching segments

    641142 SNPs used for this comparison.

    Comparison took 0.24602 seconds.

    Chr Start Location End Location Centimorgans (cM) SNPs
    1 169,174,798 170,862,247 1.3 626



    Chr Start Location End Location Centimorgans (cM) SNPs
    2 162,348,971 165,446,177 2.0 522
    2 168,913,845 170,340,174 3.4 513

    Chr Start Location End Location Centimorgans (cM) SNPs
    3 79,268,774 85,601,270 1.6 815

    Chr Start Location End Location Centimorgans (cM) SNPs
    5 141,746,135 143,033,710 2.6 514

    Chr Start Location End Location Centimorgans (cM) SNPs
    6 79,513,941 82,460,020 1.2 536
    6 164,686,566 166,543,907 4.2 588


    Chr Start Location End Location Centimorgans (cM) SNPs
    7 8,572,785 10,482,754 3.9 639

    Chr Start Location End Location Centimorgans (cM) SNPs
    8 17,456,625 18,665,612 2.6 704

    Chr Start Location End Location Centimorgans (cM) SNPs
    10 115,771,517 118,305,395 3.3 586



    3) F999916 (LBK, Stuttgart)
    Largest segment = 3.9 cM
    Total of segments > 1 cM = 19.9 cM
    9 matching segments

    647360 SNPs used for this comparison.

    Comparison took 0.18539 seconds.

    Chr Start Location End Location Centimorgans (cM) SNPs
    1 96,887,637 98,992,304 1.6 893


    Chr Start Location End Location Centimorgans (cM) SNPs
    2 66,153,166 67,862,763 2.2 541


    Chr Start Location End Location Centimorgans (cM) SNPs
    3 48,385,378 53,971,519 1.8 915


    Chr Start Location End Location Centimorgans (cM) SNPs
    5 136,514,492 141,052,063 2.9 770


    Chr Start Location End Location Centimorgans (cM) SNPs
    7 139,186,936 141,179,403 2.5 565



    Chr Start Location End Location Centimorgans (cM) SNPs
    8 62,167,326 64,668,264 1.7 502

    Chr Start Location End Location Centimorgans (cM) SNPs
    10 73,126,274 76,119,819 1.6 511


    Chr Start Location End Location Centimorgans (cM) SNPs
    11 37,476,118 40,466,640 1.9 524


    Chr Start Location End Location Centimorgans (cM) SNPs
    20 19,342,130 20,932,510 3.9 550




    4) F999933 (BR2, Hungary)
    Largest segment = 2.9 cM
    Total of segments > 1 cM = 13.4 cM
    6 matching segments

    644040 SNPs used for this comparison.

    Comparison took 0.17078 seconds.

    Chr Start Location End Location Centimorgans (cM) SNPs
    1 95,792,176 97,665,446 1.0 630

    Chr Start Location End Location Centimorgans (cM) SNPs
    2 122,860,984 126,194,258 2.9 700

    Chr Start Location End Location Centimorgans (cM) SNPs
    6 52,642,890 54,727,622 2.8 649
    6 100,699,314 103,759,084 2.2 513

    Chr Start Location End Location Centimorgans (cM) SNPs
    12 30,313,333 32,133,446 1.7 510


    Chr Start Location End Location Centimorgans (cM) SNPs
    20 37,338,845 40,017,334 2.7 583
    Who is wrong and who is right, Mr. mlukas? :)

  11. #386
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    Quote Originally Posted by Regio X View Post
    It really seems odd.
    I prepared a text to post here, but people with similar arguments did it before me. Better this way. :)

    @Jovialis
    With your AncestryDNA, your longest block shared with RISE397, from Bronze Age Armenia, would have 10.58 cM. The GedMatch kit of RISE397 is supposedly M497255 (https://www.eupedia.com/forum/thread...th-kit-numbers).
    Could you try a One-to-one at GedMatch, for comparison?
    Thanks in advance.
    Here is the comparison:


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    0 out of 1 members found this post helpful.
    Quote Originally Posted by Jovialis View Post
    Here is the comparison:

    Jovialis, could you set it to 1? Let's see the total for any that show up.

    Just generally, even on gedmatch it makes no sense for people to get such big segments with "real" ancients like Loschbour, bigger than with more proximate samples.

    I'm not comfortable with this heated criticism either. It's not like the MDLP results are so great. My fits there are terrible, and I know exactly where my ancestors have been for the last 600 years. I think this is a very complicated topic, and I don't see any clear cut "winner" in terms of results.

    Ed. "It says no shared segments, however chromosome 21 does seem to have a lot of green base pairs with a full match. Chromosome 21 is where it said I have the cMs with it. I'm not sure how to interpret that."

    A different algorithm, I guess, but I don't know. As I said, maybe lower the threshold.


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    Quote Originally Posted by Jovialis View Post
    Here is the comparison:

    It says no shared segments, however chromosome 21 does seem to have a lot of green base pairs with a full match. Chromosome 21 is where it said I have the cMs with it. I'm not sure how to interpret that.

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    Quote Originally Posted by Angela View Post
    Jovialis, could you set it to 1? Let's see the total for any that show up.

    Just generally, even on gedmatch it makes no sense for people to get such big segments with "real" ancients like Loschbour, bigger than with more proximate samples.

    I'm not comfortable with this heated criticism either. It's not like the MDLP results are so great. My fits there are terrible, and I know exactly where my ancestors have been for the last 600 years. I think this is a very complicated topic, and I don't see any clear cut "winner" in terms of results.

    Ed. "It says no shared segments, however chromosome 21 does seem to have a lot of green base pairs with a full match. Chromosome 21 is where it said I have the cMs with it. I'm not sure how to interpret that."

    A different algorithm, I guess, but I don't know. As I said, maybe lower the threshold.
    Here it is with 1 cM threshold:

    Last edited by Jovialis; 30-04-19 at 01:32.

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    I noticed that they don't include the X chr.

    Does anybody know if Gedmatch calculates the X chr. in the standard Admixture Utilities?

    EDITED:

    never mind, I just looked at it, the Answer is NO.

    i guess we’re all getting incomplete results when we run 23andme, Ancestry, ...

    Am I wrong?

  16. #391
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    1 out of 2 members found this post helpful.
    Quote Originally Posted by Jovialis View Post
    Here is it is with 1 cM threshold:

    Well, there you go. They're doing something different.

    They should issue a white paper explaining their method.

  17. #392
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    Quote Originally Posted by Salento View Post
    I noticed that they don't include the X chr.
    Does anybody know if Gedmatch calculates the X chr. in the standard Admixture Utilities?
    EDITED:
    never mind, I just looked at it, the Answer is NO.
    i guess we’re all getting incomplete results when we run 23andme, Ancestry, ...
    Am I wrong?
    There are One-to-one Autosomal and One-to-one X. You can try them both, separately.

    @All
    It may be also a matter of Settings. The defaults for GedMatch and Genesis seem different from each other, meaning different results? No time to try them.

  18. #393
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    Quote Originally Posted by Regio X View Post
    There are One-to-one Autosomal and One-to-one X. You can try them both, separately.

    @All
    It may be also a matter of Settings. The defaults for GedMatch and Genesis seem different from each other, meaning different results? No time to try them.
    I need to do a visit to Loschbour to leave some flowers on the grave :)

    GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0

    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.

    611151 SNPs used for this comparison.

    54.485 Pct SNPs are full identical

    Comparison took 0.296 seconds.
    CPU time used: 0.079 cpu seconds.

    Ver: Mar 26 2019 01:00:34

    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    1 5,088,617 5,684,301 1.3 235
    1 42,269,458 43,976,157 1.4 320
    1 50,835,606 53,217,335 1.1 252
    1 66,825,944 67,672,765 1.2 207
    1 80,251,910 81,316,894 1.0 259
    1 92,925,390 94,509,226 1.3 268
    1 102,308,337 103,610,579 1.1 223
    1 106,967,482 108,139,636 1.2 270
    1 109,357,456 110,307,263 1.2 225
    1 211,201,592 212,670,865 1.1 287
    1 214,425,225 215,361,603 1.2 239
    1 215,848,587 216,688,839 1.6 216
    1 218,348,909 220,454,111 1.6 452
    1 238,650,133 239,567,065 1.9 269


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    2 18,674 1,377,042 1.7 315
    2 38,762,291 40,493,990 1.3 384
    2 113,953,508 115,487,457 1.9 239
    2 125,499,930 127,120,893 1.7 233
    2 133,368,556 134,624,276 1.9 378
    2 151,885,556 153,464,499 1.2 309
    2 161,784,214 164,441,667 1.7 377
    2 184,701,773 186,317,662 1.2 234
    2 194,990,534 196,664,766 1.1 234
    2 200,250,898 202,542,836 1.7 458
    2 237,720,634 238,721,240 1.3 269


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    3 25,146,601 26,582,570 2.0 311
    3 31,511,691 32,303,140 1.3 210
    3 39,817,494 41,019,888 1.1 210
    3 55,801,004 57,021,793 1.5 254
    3 103,174,143 104,864,415 1.1 347
    3 119,524,651 122,686,113 2.0 565
    3 182,433,424 183,572,790 2.2 233


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    4 5,080,052 5,743,512 2.0 207
    4 159,317,442 160,905,205 1.1 202


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    5 1,962,256 2,564,145 2.3 251
    5 6,708,483 7,859,523 2.2 330
    5 72,601,498 73,432,001 1.2 235
    5 89,368,792 90,799,333 1.3 254
    5 95,949,002 97,929,333 1.6 361
    5 100,302,925 101,946,798 1.1 253
    5 111,139,696 113,134,734 1.6 458
    5 147,188,475 148,216,692 1.1 243
    5 151,435,875 152,992,110 1.2 270
    5 166,618,942 167,402,174 1.5 201
    5 168,198,305 170,283,091 5.3 752


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    6 15,279,490 16,080,109 1.3 220
    6 24,053,169 24,926,730 1.6 297
    6 34,041,306 35,473,252 1.2 279
    6 52,050,493 52,745,061 1.1 225
    6 53,961,513 55,144,102 1.1 239
    6 97,234,433 99,230,880 1.5 238
    6 100,247,048 101,801,581 1.3 232
    6 139,962,127 142,283,198 1.2 260
    6 147,503,799 148,771,965 2.4 357
    6 150,637,477 151,161,836 1.1 201


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    7 2,115,163 2,946,141 1.3 208
    7 8,780,037 9,334,068 1.4 252
    7 37,929,694 38,692,014 1.2 245
    7 62,517,629 66,689,729 1.4 312
    7 68,656,780 70,144,987 1.7 206
    7 71,115,769 73,141,464 1.8 243
    7 93,513,413 95,131,967 1.7 474
    7 109,910,153 111,500,553 1.2 280
    7 122,986,940 124,397,026 1.3 247
    7 145,145,326 146,569,874 1.5 201


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    8 18,212,931 18,787,795 1.3 327
    8 25,536,691 26,600,068 1.7 339
    8 29,873,603 31,072,165 1.4 210
    8 50,654,234 52,496,221 1.2 269
    8 53,885,194 55,269,485 1.1 251
    8 121,009,824 122,497,385 1.2 297


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    9 329,830 847,292 1.5 258
    9 11,578,233 12,829,714 1.7 358
    9 23,738,335 24,864,882 1.2 204
    9 76,228,755 77,809,291 1.8 285
    9 109,838,977 110,573,303 1.7 265
    9 114,919,707 116,386,438 2.3 344
    9 121,320,294 122,319,889 1.8 234


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    10 8,245,150 8,919,297 1.9 287
    10 16,706,766 17,334,935 1.3 250
    10 20,611,613 22,284,878 1.3 375
    10 22,961,707 24,584,036 1.7 328
    10 65,452,546 67,211,369 1.1 328
    10 81,175,250 82,411,802 1.9 247
    10 83,259,758 84,444,585 1.3 309
    10 85,715,152 87,154,121 1.2 335
    10 94,502,244 95,431,535 1.4 355
    10 100,242,195 101,790,389 1.3 336
    10 122,530,844 123,094,884 1.4 207


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    11 5,671,623 6,304,710 1.4 204
    11 14,255,818 15,942,032 1.6 343
    11 59,612,859 60,750,048 1.4 270
    11 64,938,381 67,418,202 1.8 425
    11 73,894,976 76,872,169 3.0 651
    11 86,650,282 87,667,815 1.1 239


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    12 4,417,127 5,056,535 1.9 230
    12 18,684,104 19,701,039 1.5 234
    12 21,408,845 22,146,930 1.1 288
    12 28,978,861 29,736,480 1.3 216
    12 31,085,405 32,242,179 1.2 298
    12 48,237,303 51,375,318 2.1 551
    12 63,275,017 64,401,412 1.1 244
    12 117,571,041 118,328,555 2.0 302
    12 124,980,586 125,795,991 2.6 258


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    13 22,343,925 22,804,312 1.4 252
    13 26,700,284 27,498,549 2.0 246
    13 35,140,690 36,200,686 1.4 206
    13 71,118,979 72,330,504 1.6 283
    13 96,132,701 97,526,225 1.1 220


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    14 34,749,512 37,190,065 2.4 484
    14 67,291,186 69,136,881 1.1 377
    14 78,800,072 80,805,243 2.3 448
    14 98,267,909 99,020,763 1.8 214


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    15 32,309,184 33,477,222 3.3 266
    15 33,929,082 34,667,075 1.9 237
    15 35,086,366 36,041,183 1.8 205
    15 45,425,864 46,595,789 1.4 233
    15 68,881,524 69,936,082 2.1 200


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    16 8,313,272 8,870,618 1.5 202
    16 12,237,623 13,247,355 3.1 367
    16 14,379,836 16,277,685 1.8 342
    16 20,109,653 21,610,804 2.2 238
    16 71,459,146 72,910,403 1.2 204
    16 89,350,038 90,163,275 1.0 209


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    17 7,017,420 7,721,030 1.4 200
    17 18,856,896 20,855,951 1.2 223
    17 50,212,182 51,319,040 1.1 201


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    18 8,793,236 9,814,639 3.0 331
    18 35,058,664 37,876,759 2.2 533
    18 54,056,577 55,236,342 1.3 269


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    19 29,446,266 31,819,830 4.4 544


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    20 5,783,694 6,410,854 1.9 203
    20 8,419,818 9,259,371 1.9 258
    20 19,058,878 19,985,970 2.8 367
    20 37,713,976 40,317,262 2.5 518


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    21 32,528,960 33,507,584 1.7 256
    21 36,223,627 36,854,998 1.6 208
    21 43,816,548 44,574,541 1.6 260


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    22 32,830,958 33,456,090 1.1 228
    22 48,578,966 49,027,559 3.2 225

  19. #394
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    Quote Originally Posted by Duarte View Post
    I need to do a visit to Loschbour to leave some flowers on the grave :)

    GEDmatch® Genesis Autosomal One-to-one Comparison - V1.0

    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.

    611151 SNPs used for this comparison.

    54.485 Pct SNPs are full identical

    Comparison took 0.296 seconds.
    CPU time used: 0.079 cpu seconds.

    Ver: Mar 26 2019 01:00:34

    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    1 5,088,617 5,684,301 1.3 235
    1 42,269,458 43,976,157 1.4 320
    1 50,835,606 53,217,335 1.1 252
    1 66,825,944 67,672,765 1.2 207
    1 80,251,910 81,316,894 1.0 259
    1 92,925,390 94,509,226 1.3 268
    1 102,308,337 103,610,579 1.1 223
    1 106,967,482 108,139,636 1.2 270
    1 109,357,456 110,307,263 1.2 225
    1 211,201,592 212,670,865 1.1 287
    1 214,425,225 215,361,603 1.2 239
    1 215,848,587 216,688,839 1.6 216
    1 218,348,909 220,454,111 1.6 452
    1 238,650,133 239,567,065 1.9 269


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    2 18,674 1,377,042 1.7 315
    2 38,762,291 40,493,990 1.3 384
    2 113,953,508 115,487,457 1.9 239
    2 125,499,930 127,120,893 1.7 233
    2 133,368,556 134,624,276 1.9 378
    2 151,885,556 153,464,499 1.2 309
    2 161,784,214 164,441,667 1.7 377
    2 184,701,773 186,317,662 1.2 234
    2 194,990,534 196,664,766 1.1 234
    2 200,250,898 202,542,836 1.7 458
    2 237,720,634 238,721,240 1.3 269


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    3 25,146,601 26,582,570 2.0 311
    3 31,511,691 32,303,140 1.3 210
    3 39,817,494 41,019,888 1.1 210
    3 55,801,004 57,021,793 1.5 254
    3 103,174,143 104,864,415 1.1 347
    3 119,524,651 122,686,113 2.0 565
    3 182,433,424 183,572,790 2.2 233


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    4 5,080,052 5,743,512 2.0 207
    4 159,317,442 160,905,205 1.1 202


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    5 1,962,256 2,564,145 2.3 251
    5 6,708,483 7,859,523 2.2 330
    5 72,601,498 73,432,001 1.2 235
    5 89,368,792 90,799,333 1.3 254
    5 95,949,002 97,929,333 1.6 361
    5 100,302,925 101,946,798 1.1 253
    5 111,139,696 113,134,734 1.6 458
    5 147,188,475 148,216,692 1.1 243
    5 151,435,875 152,992,110 1.2 270
    5 166,618,942 167,402,174 1.5 201
    5 168,198,305 170,283,091 5.3 752


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    6 15,279,490 16,080,109 1.3 220
    6 24,053,169 24,926,730 1.6 297
    6 34,041,306 35,473,252 1.2 279
    6 52,050,493 52,745,061 1.1 225
    6 53,961,513 55,144,102 1.1 239
    6 97,234,433 99,230,880 1.5 238
    6 100,247,048 101,801,581 1.3 232
    6 139,962,127 142,283,198 1.2 260
    6 147,503,799 148,771,965 2.4 357
    6 150,637,477 151,161,836 1.1 201


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    7 2,115,163 2,946,141 1.3 208
    7 8,780,037 9,334,068 1.4 252
    7 37,929,694 38,692,014 1.2 245
    7 62,517,629 66,689,729 1.4 312
    7 68,656,780 70,144,987 1.7 206
    7 71,115,769 73,141,464 1.8 243
    7 93,513,413 95,131,967 1.7 474
    7 109,910,153 111,500,553 1.2 280
    7 122,986,940 124,397,026 1.3 247
    7 145,145,326 146,569,874 1.5 201


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    8 18,212,931 18,787,795 1.3 327
    8 25,536,691 26,600,068 1.7 339
    8 29,873,603 31,072,165 1.4 210
    8 50,654,234 52,496,221 1.2 269
    8 53,885,194 55,269,485 1.1 251
    8 121,009,824 122,497,385 1.2 297


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    9 329,830 847,292 1.5 258
    9 11,578,233 12,829,714 1.7 358
    9 23,738,335 24,864,882 1.2 204
    9 76,228,755 77,809,291 1.8 285
    9 109,838,977 110,573,303 1.7 265
    9 114,919,707 116,386,438 2.3 344
    9 121,320,294 122,319,889 1.8 234


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    10 8,245,150 8,919,297 1.9 287
    10 16,706,766 17,334,935 1.3 250
    10 20,611,613 22,284,878 1.3 375
    10 22,961,707 24,584,036 1.7 328
    10 65,452,546 67,211,369 1.1 328
    10 81,175,250 82,411,802 1.9 247
    10 83,259,758 84,444,585 1.3 309
    10 85,715,152 87,154,121 1.2 335
    10 94,502,244 95,431,535 1.4 355
    10 100,242,195 101,790,389 1.3 336
    10 122,530,844 123,094,884 1.4 207


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    11 5,671,623 6,304,710 1.4 204
    11 14,255,818 15,942,032 1.6 343
    11 59,612,859 60,750,048 1.4 270
    11 64,938,381 67,418,202 1.8 425
    11 73,894,976 76,872,169 3.0 651
    11 86,650,282 87,667,815 1.1 239


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    12 4,417,127 5,056,535 1.9 230
    12 18,684,104 19,701,039 1.5 234
    12 21,408,845 22,146,930 1.1 288
    12 28,978,861 29,736,480 1.3 216
    12 31,085,405 32,242,179 1.2 298
    12 48,237,303 51,375,318 2.1 551
    12 63,275,017 64,401,412 1.1 244
    12 117,571,041 118,328,555 2.0 302
    12 124,980,586 125,795,991 2.6 258


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    13 22,343,925 22,804,312 1.4 252
    13 26,700,284 27,498,549 2.0 246
    13 35,140,690 36,200,686 1.4 206
    13 71,118,979 72,330,504 1.6 283
    13 96,132,701 97,526,225 1.1 220


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    14 34,749,512 37,190,065 2.4 484
    14 67,291,186 69,136,881 1.1 377
    14 78,800,072 80,805,243 2.3 448
    14 98,267,909 99,020,763 1.8 214


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    15 32,309,184 33,477,222 3.3 266
    15 33,929,082 34,667,075 1.9 237
    15 35,086,366 36,041,183 1.8 205
    15 45,425,864 46,595,789 1.4 233
    15 68,881,524 69,936,082 2.1 200


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    16 8,313,272 8,870,618 1.5 202
    16 12,237,623 13,247,355 3.1 367
    16 14,379,836 16,277,685 1.8 342
    16 20,109,653 21,610,804 2.2 238
    16 71,459,146 72,910,403 1.2 204
    16 89,350,038 90,163,275 1.0 209


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    17 7,017,420 7,721,030 1.4 200
    17 18,856,896 20,855,951 1.2 223
    17 50,212,182 51,319,040 1.1 201


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    18 8,793,236 9,814,639 3.0 331
    18 35,058,664 37,876,759 2.2 533
    18 54,056,577 55,236,342 1.3 269


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    19 29,446,266 31,819,830 4.4 544


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    20 5,783,694 6,410,854 1.9 203
    20 8,419,818 9,259,371 1.9 258
    20 19,058,878 19,985,970 2.8 367
    20 37,713,976 40,317,262 2.5 518


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    21 32,528,960 33,507,584 1.7 256
    21 36,223,627 36,854,998 1.6 208
    21 43,816,548 44,574,541 1.6 260


    Chr B37 Start Pos'n B37 End Pos'n Centimorgans (cM) SNPs
    22 32,830,958 33,456,090 1.1 228
    22 48,578,966 49,027,559 3.2 225
    i have full orange bars for NE1, BR2 and Stuttagart when I use archaic in gedmatch, .................yet have zero SNP for them when I compare ................is there a different method you use
    Father's Mtdna H95a1
    Grandfather Mtdna T2b24
    Great Grandfather Mtdna T1a1e
    GMother paternal side YDna R1b-S8172
    Mother's YDna R1a-Z282

  20. #395
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    Duarte's Avatar
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    Quote Originally Posted by zanipolo View Post
    i have full orange bars for NE1, BR2 and Stuttagart when I use archaic in gedmatch, .................yet have zero SNP for them when I compare ................is there a different method you use
    I just compare the Kit F999918 with my Genesis GEDmatch kit. Standard adjusts. Nothing more. Nothing diferent or special.

  21. #396
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    Quote Originally Posted by Regio X View Post
    There are One-to-one Autosomal and One-to-one X. You can try them both, separately.

    @All
    It may be also a matter of Settings. The defaults for GedMatch and Genesis seem different from each other, meaning different

    results? No time to try them.
    just guessing

    If the Autosomal results of a mainstream company is based on the totality of 22 plus the X chr. versus just 22 chr. of a third party site, the 2 results are incomparable.

    In general, if both parents are ethnically equal and are from the same area, there won't be much difference in the results, regardless of X chr.

    All Mix people will get only partial results if the X chromosome is not in the calculator.

    just guessing,

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    @Duarte
    ahah Boa! Será você um primo distante do Vanderlei Luxemburgo?

    Fellow, Loschbour is from Mesolithic, so it doesn't seem likely a "true" shared segment as large as that. Anyway, Settings do matter, apparently. I guess GedMatch results and Genesis' will be more similar to each other if you set Genesis' minimum segment threshold to 500 SNPs? If you put more than that, it could even affect the Largest segment size, I guess, depending on how many you choose.
    I assume GedMatch/Genesis are, say, somewhat"flexible", and MyTrueAncestry may be even more, which could perhaps explain those "discrepancies", instead they're informing some dishonest random results. Still, it doesn't smell realistic to me. Particularly, I like the similarity tool they created, as I alrrady said. It's nice. But not really this IBD matching tool. In my opinion.

    @Salento
    Settings/criteria of each company also matter for comparisons. We saw that phasing is also important.
    Now, if you wanna totals in GedMatch, you can just sum Autosomal results and X's, after run the tools separately. And that's it.
    Last edited by Regio X; 30-04-19 at 00:54.

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    deleted.....

  24. #399
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    @Regio X
    HA HA HA. Creio que eu e ele temos o Luxemburgo em comum. Mas ele é um homem do futebol, e ganha muito mais dinheiro do que eu :))

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    Basilicata was founded by the normans

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