Announcement

Collapse
No announcement yet.

I Was TOLD I Was Peruvian, But...

Collapse
X
  • Filter
  • Time
  • Show
Clear All
new posts

  • I Was TOLD I Was Peruvian, But...

    I recently uploaded my raw dna to ftdna and gedmatch and everywhere else I could find lol. I am adopted and only am in contact with my birth mother, the European side of my dna. My birth father AND his entire side of his family want nothing to do with me. So I'll never fully know that side other than what I was told once by him via a short phone call. He said the whole family is Peruvian.

    Here on ftdna it says my South American percentage is 3. My North and Central American is 43. I know you may get less than you really are, but that would still mean I'm still more something else other than Peruvian, right?

    Gedmatch is so confusing I can't make sense of it.
    If anyone would be willing to help me with that I'd gladly show you results from any calculator or just give you my number for anyone interested in helping there.

    I mean, does this mean I'm not that Peruvian after all?

  • #2
    Amerindian DNA is not as accurately divisible as it may seem and not as genetically diverse as other racial groups so it might not be anything to worry about that so much of your Amerindian got clustered north of South America in the MyOrigins screen. I would concentrate on what kinds of matches you're finding in Family Finder and GEDmatch - names or locations that may be Peru-specific, in particular.

    I know an adoptee who is half Peruvian and half Ashkenazic Jewish and she was able to figure that out just by contacting her matches and some of us responded and helped her with her explorations. She got lucky that some close matches showed up. She had no idea what her ancestry was before she tested.
    Last edited by khazaria; 9th December 2017, 12:03 AM.

    Comment


    • #3
      Originally posted by SoVeryConfused View Post
      I recently uploaded my raw dna to ftdna and gedmatch and everywhere else I could find lol. I am adopted and only am in contact with my birth mother, the European side of my dna. My birth father AND his entire side of his family want nothing to do with me. So I'll never fully know that side other than what I was told once by him via a short phone call. He said the whole family is Peruvian.

      Here on ftdna it says my South American percentage is 3. My North and Central American is 43. I know you may get less than you really are, but that would still mean I'm still more something else other than Peruvian, right?

      Gedmatch is so confusing I can't make sense of it.
      If anyone would be willing to help me with that I'd gladly show you results from any calculator or just give you my number for anyone interested in helping there.

      I mean, does this mean I'm not that Peruvian after all?
      Amerindian is definitely just a general result...
      For Gedmatch, definitely by far the most interesting informatino is on this blog:

      http://www.rootsandrecombinantdna.com/

      Comment


      • #4
        Ok thank you both. A lot of my DNA matches are European. Not too many are from my birth father's side.

        Comment


        • #5
          Amerindian

          the Indian ancestry results are not very accurate...my Wife was born in Chile and the FTDNA report states she has 22% New World origins , 3% from South-America and 19% from North and Central America. All her grandparents were born in Chile...She can trace her maternal ancestry back to 1800 in Chile...while her paternal side came from Spain and Italy around 1900.

          clearly they are unable to differentiate South American Indians from North American Indians.

          Comment


          • #6
            Originally posted by jova99 View Post
            clearly they are unable to differentiate South American Indians from North American Indians.
            They only have very select few of people in there database for native americans most tribes in America won't test because there wrongfully connecting them to Asia and not many test in south America because they don't know about it or can't afford it but on top of that they pick and choice people based on skin color to choice if they think there full blooded then put them in the data base by that and not by there DNA which screws the whole system skin color means nothing and will very between different tribes and location some are born light and dark from same mother and father and are full blooded this is the same problem they had with the census takers for registering native american blood

            Comment


            • #7
              My wife is 50% native american her father is 100% and on the test she got 17% native american and then they updated the results to the new version now its 26% still along way from 50% what she is

              Comment


              • #8
                See my posts (#2, 3, and 5) in this thread, "Native American Tribes," from May of this year.

                The "myOrigins 2.0 Methodology white paper", written by Razib Khan and Rui H, Family Tree DNA, Updated September 13, 2017, shows in section 4 ("Reference Populations") that these references were used:
                • GeneByGene DNA customer database
                • Human Genome Diversity Project
                • International HapMap Project
                • Estonian Biocentre
                • 1000 Genome

                Both the Human Genome Diversity Project (used by 23andMe, FTDNA, and Ancestry.com), and the 1000 Genomes project (used by 23andMe and FTDNA) include reference populations from the Colombian, Karitiana, Maya, Pima, and Surui peoples.

                My post #2 in the above-mentioned thread shows descriptions of those populations, provided by 23andMe. None of the five are described as being from Peru, but are from various regions of Mexico, Central America, Columbia and Brazil. Kariatana and Surui are physically closest to Peru, but still a distance from it.

                The FTDNA "myOrigins 1.0 Methodology white paper" included a table showing 23 representatives for Karitiana, and 21 for Surui, which is almost exactly the same as what was shown in the 23andMe descriptions, and probably indicates the use of the common HGDP and 1000 GDP populations for both companies.

                Comment


                • #9
                  Originally posted by msc_44 View Post
                  My wife is 50% native american her father is 100% and on the test she got 17% native american and then they updated the results to the new version now its 26% still along way from 50% what she is
                  Would your wife's father be open to taking a Family Finder test? Actually, his Y and mtDNA results would be interesting, too, showing the Native American haplogroups.

                  Comment


                  • #10
                    Gedmatch Results

                    Here are my gedmatch results for the calculators that have Peru.

                    MDLP K23b Oracle results:
                    MDLP K23b Oracle Rev 2014 Sep 16

                    Kit A896293

                    Admix Results (sorted):

                    # Population Percent
                    1 Amerindian 45.73
                    2 European_Hunters_Gatherers 20.27
                    3 European_Early_Farmers 16.94
                    4 Caucasian 9.86
                    5 Ancestral_Altaic 2.73
                    6 South_Central_Asian 2.55
                    7 North_African 1.21
                    8 East_African 0.3
                    9 Paleo_Siberian 0.2
                    10 African_Pygmy 0.1
                    11 Arctic 0.06
                    12 Archaic_Human 0.04

                    Single Population Sharing:

                    # Population (source) Distance
                    1 Serrano ( ) 6.13
                    2 Mexican ( ) 8.63
                    3 Miwok ( ) 11.73
                    4 Ojibwa ( ) 13.63
                    5 Mexican_CV ( ) 13.74
                    6 Cree ( ) 19.27
                    7 Algonquin ( ) 19.54
                    8 Tsimsian ( ) 19.69
                    9 Chilote ( ) 20.49
                    10 Cochimi ( ) 21.23
                    11 Haida ( ) 22.27
                    12 Kumiai ( ) 24.61
                    13 Colombian ( ) 29.61
                    14 Cucupa ( ) 30.62
                    15 Puerto_Rican ( ) 34.52
                    16 Navajo ( ) 38.71
                    17 Athabask ( ) 39.78
                    18 Apache ( ) 40.62
                    19 Bolivian ( ) 42.59
                    20 Luiseno ( ) 43.81

                    Mixed Mode Population Sharing:

                    # Primary Population (source) Secondary Population (source) Distance
                    1 50.5% CEU ( ) + 49.5% Bolivian_Cochabamba ( ) @ 1.04
                    2 50.2% CEU ( ) + 49.8% Mayan ( ) @ 1.07
                    3 50% Mayan ( ) + 50% British ( ) @ 1.08
                    4 53.2% CEU ( ) + 46.8% Bolivian_LaPaz ( ) @ 1.11
                    5 50.4% Bolivian_Pando ( ) + 49.6% CEU ( ) @ 1.16
                    6 50.3% Bolivian_Pando ( ) + 49.7% North_European ( ) @ 1.18
                    7 53.5% CEU ( ) + 46.5% Aymara ( ) @ 1.19
                    8 50.3% Mayan ( ) + 49.7% English_Cornwall_GBR ( ) @ 1.21
                    9 50.7% CEU ( ) + 49.3% Inga ( ) @ 1.21
                    10 50.5% CEU ( ) + 49.5% Quechua_Peru ( ) @ 1.21
                    11 54.4% CEU ( ) + 45.6% Karitiana ( ) @ 1.23
                    12 54.4% CEU ( ) + 45.6% Surui ( ) @ 1.23
                    13 54.4% CEU ( ) + 45.6% Guarani ( ) @ 1.23
                    14 54.4% CEU ( ) + 45.6% Chane ( ) @ 1.23
                    15 54.4% CEU ( ) + 45.6% Wichi ( ) @ 1.23
                    16 54.3% CEU ( ) + 45.7% Wayuu ( ) @ 1.23
                    17 54.3% CEU ( ) + 45.7% Cabecar ( ) @ 1.23
                    18 54.3% CEU ( ) + 45.7% Mixe ( ) @ 1.23
                    19 54.4% CEU ( ) + 45.6% Ticuna ( ) @ 1.23
                    20 54.3% CEU ( ) + 45.7% Kaqchikel ( ) @ 1.23

                    Least-squares method.

                    Using 1 population approximation:
                    1 Mexican_ @ 13.054075
                    2 Serrano_ @ 13.862873
                    3 Ojibwa_ @ 14.458853
                    4 Miwok_ @ 15.481426
                    5 Mexican_CV_ @ 15.808919
                    6 Tsimsian_ @ 22.120934
                    7 Cree_ @ 22.562191
                    8 Algonquin_ @ 22.703051
                    9 Cochimi_ @ 24.942768
                    10 Chilote_ @ 26.025682
                    11 Haida_ @ 26.436684
                    12 Kumiai_ @ 27.922241
                    13 Colombian_ @ 30.842167
                    14 Cucupa_ @ 36.051025
                    15 Puerto_Rican_ @ 37.398373
                    16 Navajo_ @ 43.155891
                    17 Apache_ @ 45.385696
                    18 Athabask_ @ 45.833202
                    19 Bolivian_ @ 48.084694
                    20 Luiseno_ @ 48.870476

                    Using 2 populations approximation:
                    1 50% Bolivian_Pando_ +50% North_European_ @ 1.306915


                    Using 3 populations approximation:
                    1 50% Bolivian_Pando_ +25% British_ +25% Norwegian_East_ @ 0.819148


                    Using 4 populations approximation:
                    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++
                    1 Bolivian_Cochabamba_ + Bolivian_Pando_ + English_Kent_GBR_ + Norwegian_West_ @ 0.813001
                    2 Bolivian_Pando_ + Bolivian_Pando_ + British_ + Norwegian_East_ @ 0.819148
                    3 Bolivian_Pando_ + English_Kent_GBR_ + Mayan_ + Norwegian_West_ @ 0.859226
                    4 Bolivian_Pando_ + Bolivian_Pando_ + English_Kent_GBR_ + Norwegian_West_ @ 0.861521
                    5 Bolivian_Pando_ + English_Kent_GBR_ + Norwegian_West_ + Quechua_Peru_ @ 0.892699
                    6 Bolivian_Pando_ + Bolivian_Pando_ + Norwegian_East_ + Welsh_ @ 0.919856
                    7 Bolivian_Cochabamba_ + Bolivian_Pando_ + British_ + Norwegian_East_ @ 0.920114
                    8 Bolivian_Cochabamba_ + Bolivian_Pando_ + CEU_ + Norwegian_West_ @ 0.920795
                    9 Bolivian_Cochabamba_ + Bolivian_Pando_ + British_ + Norwegian_West_ @ 0.921352
                    10 Bolivian_Pando_ + Bolivian_Pando_ + English_Cornwall_GBR_ + Norwegian_West_ @ 0.926288
                    11 Bolivian_Pando_ + English_Cornwall_GBR_ + Mayan_ + Norwegian_West_ @ 0.931526
                    12 Bolivian_Pando_ + Bolivian_Pando_ + English_Cornwall_GBR_ + Norwegian_East_ @ 0.939231
                    13 Bolivian_Pando_ + Bolivian_Pando_ + CEU_ + Norwegian_West_ @ 0.940686
                    14 Bolivian_Pando_ + British_ + Norwegian_East_ + Quechua_Peru_ @ 0.948764
                    15 Bolivian_Cochabamba_ + Bolivian_Pando_ + English_Kent_GBR_ + Icelandic_ @ 0.950697
                    16 Bolivian_Pando_ + Bolivian_Pando_ + English_Kent_GBR_ + Icelandic_ @ 0.954854
                    17 Bolivian_Cochabamba_ + Bolivian_Pando_ + Norwegian_West_ + Welsh_ @ 0.958504
                    18 Bolivian_Pando_ + Mayan_ + Norwegian_West_ + Welsh_ @ 0.958620
                    19 Bolivian_Pando_ + British_ + Mayan_ + Norwegian_West_ @ 0.961346
                    20 Bolivian_Pando_ + Bolivian_Pando_ + British_ + Norwegian_West_ @ 0.963441

                    Done

                    AND

                    Admix Results (sorted):

                    # Population Percent
                    1 American 44.26
                    2 NE-Euro 27.72
                    3 Mediterranean 18.49
                    4 Baloch 5.3
                    5 Caucasian 2.51
                    6 Beringian 1.2
                    7 Papuan 0.42
                    8 W-African 0.09
                    9 San 0.01

                    Single Population Sharing:

                    # Population (source) Distance
                    1 mexican (1000genomes) 15.23
                    2 ecuadorian (bryc) 17.28
                    3 colombian (bryc) 20.44
                    4 colombian (1000genomes) 26.11
                    5 puerto-rican (1000genomes) 38.64
                    6 puerto-rican (bryc) 39.95
                    7 peruvian (1000genomes) 43.37
                    8 hungarian (behar) 52.17
                    9 french (hgdp) 52.24
                    10 romanian-a (behar) 52.36
                    11 slovenian (xing) 52.81
                    12 n-european (xing) 53.3
                    13 utahn-white (1000genomes) 53.33
                    14 bulgarian (yunusbayev) 53.36
                    15 italian (hgdp) 53.49
                    16 utahn-white (hapmap) 53.69
                    17 spaniard (behar) 53.77
                    18 british (1000genomes) 53.78
                    19 spaniard (1000genomes) 53.95
                    20 orcadian (hgdp) 54.32

                    Mixed Mode Population Sharing:

                    # Primary Population (source) Secondary Population (source) Distance
                    1 53.8% british (1000genomes) + 46.2% pima (hgdp) @ 1.03
                    2 54% utahn-white (1000genomes) + 46% pima (hgdp) @ 1.13
                    3 53.7% utahn-white (1000genomes) + 46.3% totonac (xing) @ 1.18
                    4 53.5% british (1000genomes) + 46.5% totonac (xing) @ 1.2
                    5 55.6% utahn-white (1000genomes) + 44.4% colombian (hgdp) @ 1.44
                    6 55.7% utahn-white (1000genomes) + 44.3% karitiana (hgdp) @ 1.46
                    7 55.7% utahn-white (1000genomes) + 44.3% surui (hgdp) @ 1.46
                    8 51% british (1000genomes) + 49% maya (hgdp) @ 1.47
                    9 51.2% utahn-white (1000genomes) + 48.8% maya (hgdp) @ 1.51
                    10 51% british (1000genomes) + 49% bolivian (xing) @ 1.62
                    11 55.4% british (1000genomes) + 44.6% colombian (hgdp) @ 1.65
                    12 55.5% british (1000genomes) + 44.5% karitiana (hgdp) @ 1.67
                    13 55.5% british (1000genomes) + 44.5% surui (hgdp) @ 1.67
                    14 51.2% utahn-white (1000genomes) + 48.8% bolivian (xing) @ 1.67
                    15 50.7% orcadian (hgdp) + 49.3% maya (hgdp) @ 2.03
                    16 50.8% orcadian (hgdp) + 49.2% bolivian (xing) @ 2.06
                    17 51.2% n-european (xing) + 48.8% maya (hgdp) @ 2.21
                    18 51.2% n-european (xing) + 48.8% bolivian (xing) @ 2.27
                    19 53.5% orcadian (hgdp) + 46.5% pima (hgdp) @ 2.28
                    20 53.2% orcadian (hgdp) + 46.8% totonac (xing) @ 2.37

                    Least-squares method.

                    Using 1 population approximation:
                    1 mexican_1000genomes @ 16.644512
                    2 ecuadorian_bryc @ 18.558163
                    3 colombian_bryc @ 20.987991
                    4 mexican_hapmap @ 23.973026
                    5 colombian_1000genomes @ 26.127611
                    6 puerto-rican_1000genomes @ 37.595333
                    7 puerto-rican_bryc @ 38.829262
                    8 peruvian_1000genomes @ 42.744999
                    9 french_hgdp @ 50.469509
                    10 hungarian_behar @ 50.703278
                    11 romanian-a_behar @ 51.019825
                    12 serbian_harappa @ 51.330952
                    13 slovenian_xing @ 51.452484
                    14 utahn-white_1000genomes @ 51.927204
                    15 n-european_xing @ 51.948624
                    16 italian_hgdp @ 52.127628
                    17 spaniard_behar @ 52.150650
                    18 bulgarian_yunusbayev @ 52.266033
                    19 spaniard_1000genomes @ 52.364906
                    20 utahn-white_hapmap @ 52.397133

                    Using 2 populations approximation:
                    1 50% british_1000genomes +50% maya_hgdp @ 1.912106


                    Using 3 populations approximation:
                    1 50% british_1000genomes +25% peruvian_1000genomes +25% pima_hgdp @ 1.636890


                    Using 4 populations approximation:
                    ++++++++++++++++++++++++++++++++++++++++++++++
                    1 orcadian_hgdp + peruvian_1000genomes + pima_hgdp + utahn-white_hapmap @ 1.141019
                    2 n-european_xing + orcadian_hgdp + peruvian_1000genomes + pima_hgdp @ 1.145256
                    3 british_1000genomes + peruvian_1000genomes + pima_hgdp + utahn-white_hapmap @ 1.215880
                    4 orcadian_hgdp + peruvian_1000genomes + pima_hgdp + utahn-white_1000genomes @ 1.273258
                    5 n-european_xing + orcadian_hgdp + peruvian_1000genomes + totonac_xing @ 1.368123
                    6 british_1000genomes + n-european_xing + peruvian_1000genomes + pima_hgdp @ 1.407104
                    7 orcadian_hgdp + peruvian_1000genomes + totonac_xing + utahn-white_hapmap @ 1.413310
                    8 peruvian_1000genomes + pima_hgdp + utahn-white_hapmap + utahn-white_hapmap @ 1.417308
                    9 british_1000genomes + peruvian_1000genomes + totonac_xing + utahn-white_hapmap @ 1.450363
                    10 colombian_hgdp + n-european_xing + orcadian_hgdp + peruvian_1000genomes @ 1.453670
                    11 peruvian_1000genomes + pima_hgdp + utahn-white_1000genomes + utahn-white_hapmap @ 1.465346
                    12 colombian_hgdp + orcadian_hgdp + peruvian_1000genomes + utahn-white_hapmap @ 1.481025
                    13 karitiana_hgdp + n-european_xing + orcadian_hgdp + peruvian_1000genomes @ 1.481132
                    14 karitiana_hgdp + orcadian_hgdp + peruvian_1000genomes + utahn-white_hapmap @ 1.482584
                    15 n-european_xing + orcadian_hgdp + peruvian_1000genomes + surui_hgdp @ 1.483861
                    16 orcadian_hgdp + peruvian_1000genomes + surui_hgdp + utahn-white_hapmap @ 1.485200
                    17 british_1000genomes + colombian_hgdp + peruvian_1000genomes + utahn-white_hapmap @ 1.514259
                    18 british_1000genomes + karitiana_hgdp + peruvian_1000genomes + utahn-white_hapmap @ 1.517626
                    19 british_1000genomes + peruvian_1000genomes + surui_hgdp + utahn-white_hapmap @ 1.519966
                    20 orcadian_hgdp + peruvian_1000genomes + totonac_xing + utahn-white_1000genomes @ 1.523645

                    Done.

                    Comment


                    • #11
                      Originally posted by KATM View Post
                      Would your wife's father be open to taking a Family Finder test? Actually, his Y and mtDNA results would be interesting, too, showing the Native American haplogroups.
                      Q and mtdna A

                      Comment


                      • #12
                        Originally posted by msc_44 View Post
                        Q and mtdna A
                        The father was already tested and those are the results? Or this is just speculation? Q - okay. M3 or Z780, probably others. But there are a number of possibilities for indigenous mtDNA besides the As: there are lots of Ds, Bs and Cs. (X2a too though the later seems not likely in Peru) There can be quite an assortment, even within a relatively small geographical area. Among new world mtDNA haplogroups, A is somewhat less that 50% as I remember.

                        As for separating out North/South/Central in "ethnicity estimates." That is just yielding nonsense.

                        Comment


                        • #13
                          Originally posted by abuelita View Post
                          The father was already tested and those are the results? Or this is just speculation? Q - okay. M3 or Z780, probably others. But there are a number of possibilities for indigenous mtDNA besides the As: there are lots of Ds, Bs and Cs. (X2a too though the later seems not likely in Peru) There can be quite an assortment, even within a relatively small geographical area. Among new world mtDNA haplogroups, A is somewhat less that 50% as I remember.

                          As for separating out North/South/Central in "ethnicity estimates." That is just yielding nonsense.
                          ? What are u talking about that's why I posted it he is already tested Q ydna and mtdna A

                          Comment


                          • #14
                            Originally posted by abuelita View Post
                            The father was already tested and those are the results? Or this is just speculation? Q - okay. M3 or Z780, probably others. But there are a number of possibilities for indigenous mtDNA besides the As: there are lots of Ds, Bs and Cs. (X2a too though the later seems not likely in Peru) There can be quite an assortment, even within a relatively small geographical area. Among new world mtDNA haplogroups, A is somewhat less that 50% as I remember.

                            As for separating out North/South/Central in "ethnicity estimates." That is just yielding nonsense.

                            My birth father was never tested. I think there's a side bar going on, but I did run my data on Morley and the Y haplogroup was A1B1B1 I'm not sure if that's right since he has not been tested for anything.

                            I found a 2nd-4th cousin on ftdna who is Mexican. Another that is more distant and is Puerto Rican.

                            I've found 4 close cousins on ancestry who are Mexican and 6 that are distant. 26 very distant cousins from Peru. None of my close matches on ancestry are Peruvian. Most don't even know who my birth father's family are or their surname.
                            Last edited by SoVeryConfused; 11th December 2017, 03:43 PM.

                            Comment


                            • #15
                              Originally posted by msc_44 View Post
                              My wife is 50% native american her father is 100% and on the test she got 17% native american and then they updated the results to the new version now its 26% still along way from 50% what she is
                              myheritage.com shows her at 42.1% alot closer to 50% than ftdna

                              Comment

                              Working...
                              X