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Thread: Dodecad Project confirms North African ancestry into Portuguese...

  1. #26
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    Quote Originally Posted by Angela View Post
    ^^You're obviously not closer to African countries than to European countries. Look at your Oracle results and you'll see that.

    Those are very minor percentages.
    Attachment 10737
    You mean something like that?
    Attached Images Attached Images

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    Quote Originally Posted by Carlos View Post
    Attachment 10737
    You mean something like that?
    No. Eurogenes K36 doesn't even have an oracle, probably because if it did it would be crap.

    Try the Dodecad v3 or K12b, or MDLP K23b You'll get a pie chart. Then just click Oracle and you'll get a list of populations in order. The first one will be the closest and so on.


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    If you are Portuguese there should be no reference populations to Africa in the top 20 or 25

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    Y-DNA haplogroup
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    MtDNA haplogroup
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    Ethnic group
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    Country: Portugal



    I am Portuguese with all of my ancestors from a small cluster of villages and I was wondering how much North African I would have in me. I was told on another forum that my North African DNA is very low for a Portuguese person, but I traced my family tree and almost all were from central Portugal at least as far back as the XV century, just from a very isolated region with low levels of exogamy and I found that the small villages were populated by "old Christians".

    According to K11 0.66%
    According to K13 I'm 0.16% Northeast African and 0.45% Sub-Saharan

    According to Eurogenes Hunter Gatherer vs Farmer I am 0.37% Pygmy Hunter Gatherer and 0.34% Bantu Farmer with 0% East AFrican.
    According to K15

  5. #30
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    1 members found this post helpful.
    ^^
    ^^
    This is mine

    Dodecad V3

    # Population Percent
    1West_European41.22
    2Mediterranean35.19
    3West_Asian8.84
    4East_European5.78
    5Northwest_African4.69
    6Southwest_Asian2.31
    7East_African1.08

    Using 1 population approximation:
    1 Portuguese_Dodecad @ 11.601552
    2 French_Dodecad @ 11.949672
    3 French_HGDP @ 12.067084
    4 N_Italian_Dodecad @ 13.783651
    5 Spaniards_Behar @ 14.658201
    6 IBS_1000Genomes @ 14.791160
    7 Spanish_Dodecad @ 15.236301
    8 Tuscan_Henn @ 15.961272
    9 TSI_HapMap @ 16.220535
    10 Tuscan_Xing @ 16.471422
    11 CEU_HapMap @ 17.516108
    12 North_Italian_HGDP @ 17.718433
    13 French_Basque_HGDP @ 18.504568
    14 N._European_Xing @ 19.202810
    15 Orcadian_HGDP @ 19.765686
    16 Argyll_1000 Genomes @ 20.101244
    17 Orkney_1000 Genomes @ 20.168800
    18 O_Italian_Dodecad @ 20.641006
    19 Slovenian_Xing @ 20.835630
    20 German_Dodecad @ 21.350168

    Using 2 populations approximation:
    1 50% North_Italian_HGDP +50% N._European_Xing @ 5.497065


    Using 3 populations approximation:
    1 50% Portuguese_Dodecad +25% Argyll_1000 Genomes +25% Tuscan_Xing @ 2.486555

    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++
    1 C_Italian_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Swedish_Dodecad @ 2.339145
    2 Greek_Dodecad + Norwegian_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad @ 2.354224
    3 Portuguese_Dodecad + Portuguese_Dodecad + Argyll_1000 Genomes + Tuscan_Xing @ 2.486555
    4 German_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + TSI_HapMap @ 2.534276
    5 German_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Tuscan_Xing @ 2.580343
    6 Cornwall_1000 Genomes + Portuguese_Dodecad + Portuguese_Dodecad + Romanians_14_Behar @ 2.671138
    7 Portuguese_Dodecad + Portuguese_Dodecad + TSI_HapMap + Argyll_1000 Genomes @ 2.672774
    8 Portuguese_Dodecad + Portuguese_Dodecad + N._European_Xing + Tuscan_Xing @ 2.677602
    9 O_Italian_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Swedish_Dodecad @ 2.776633
    10 Portuguese_Dodecad + Portuguese_Dodecad + TSI_HapMap + N._European_Xing @ 2.791146
    11 Portuguese_Dodecad + Portuguese_Dodecad + Argyll_1000 Genomes + Tuscan_Henn @ 2.791179
    12 Ashkenazy_Jews_Behar + IBS_1000Genomes + Portuguese_Dodecad + Swedish_Dodecad @ 2.807064
    13 Greek_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Swedish_Dodecad @ 2.808544
    14 Orkney_1000 Genomes + Portuguese_Dodecad + Portuguese_Dodecad + Tuscan_Xing @ 2.809613
    15 German_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Tuscan_Henn @ 2.827001
    16 British_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Romanians_14_Behar @ 2.845930
    17 Orcadian_HGDP + Portuguese_Dodecad + Portuguese_Dodecad + Tuscan_Xing @ 2.849756
    18 Portuguese_Dodecad + Portuguese_Dodecad + S_Italian_Sicilian_Dodecad + Swedish_Dodecad @ 2.878843
    19 Irish_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Romanians_14_Behar @ 2.889892
    20 Ashkenazy_Jews_Behar + Portuguese_Dodecad + Spanish_Dodecad + Swedish_Dodecad @ 2.899637

    Done.

    Elapsed time 0.3074 seconds.

    ---------------------------

    I can't with that acronym

    ?
    IBS=IBIZA
    CEU=CEUTA
    TSL=TESALIA
    O=Oeste

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    1 members found this post helpful.
    Quote Originally Posted by Carlos View Post
    ^^
    ^^
    This is mine

    Dodecad V3

    # Population Percent
    1West_European41.22
    2Mediterranean35.19
    3West_Asian8.84
    4East_European5.78
    5Northwest_African4.69
    6Southwest_Asian2.31
    7East_African1.08

    Using 1 population approximation:
    1 Portuguese_Dodecad @ 11.601552
    2 French_Dodecad @ 11.949672
    3 French_HGDP @ 12.067084
    4 N_Italian_Dodecad @ 13.783651
    5 Spaniards_Behar @ 14.658201
    6 IBS_1000Genomes @ 14.791160
    7 Spanish_Dodecad @ 15.236301
    8 Tuscan_Henn @ 15.961272
    9 TSI_HapMap @ 16.220535
    10 Tuscan_Xing @ 16.471422
    11 CEU_HapMap @ 17.516108
    12 North_Italian_HGDP @ 17.718433
    13 French_Basque_HGDP @ 18.504568
    14 N._European_Xing @ 19.202810
    15 Orcadian_HGDP @ 19.765686
    16 Argyll_1000 Genomes @ 20.101244
    17 Orkney_1000 Genomes @ 20.168800
    18 O_Italian_Dodecad @ 20.641006
    19 Slovenian_Xing @ 20.835630
    20 German_Dodecad @ 21.350168

    Using 2 populations approximation:
    1 50% North_Italian_HGDP +50% N._European_Xing @ 5.497065


    Using 3 populations approximation:
    1 50% Portuguese_Dodecad +25% Argyll_1000 Genomes +25% Tuscan_Xing @ 2.486555

    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++
    1 C_Italian_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Swedish_Dodecad @ 2.339145
    2 Greek_Dodecad + Norwegian_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad @ 2.354224
    3 Portuguese_Dodecad + Portuguese_Dodecad + Argyll_1000 Genomes + Tuscan_Xing @ 2.486555
    4 German_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + TSI_HapMap @ 2.534276
    5 German_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Tuscan_Xing @ 2.580343
    6 Cornwall_1000 Genomes + Portuguese_Dodecad + Portuguese_Dodecad + Romanians_14_Behar @ 2.671138
    7 Portuguese_Dodecad + Portuguese_Dodecad + TSI_HapMap + Argyll_1000 Genomes @ 2.672774
    8 Portuguese_Dodecad + Portuguese_Dodecad + N._European_Xing + Tuscan_Xing @ 2.677602
    9 O_Italian_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Swedish_Dodecad @ 2.776633
    10 Portuguese_Dodecad + Portuguese_Dodecad + TSI_HapMap + N._European_Xing @ 2.791146
    11 Portuguese_Dodecad + Portuguese_Dodecad + Argyll_1000 Genomes + Tuscan_Henn @ 2.791179
    12 Ashkenazy_Jews_Behar + IBS_1000Genomes + Portuguese_Dodecad + Swedish_Dodecad @ 2.807064
    13 Greek_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Swedish_Dodecad @ 2.808544
    14 Orkney_1000 Genomes + Portuguese_Dodecad + Portuguese_Dodecad + Tuscan_Xing @ 2.809613
    15 German_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Tuscan_Henn @ 2.827001
    16 British_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Romanians_14_Behar @ 2.845930
    17 Orcadian_HGDP + Portuguese_Dodecad + Portuguese_Dodecad + Tuscan_Xing @ 2.849756
    18 Portuguese_Dodecad + Portuguese_Dodecad + S_Italian_Sicilian_Dodecad + Swedish_Dodecad @ 2.878843
    19 Irish_Dodecad + Portuguese_Dodecad + Portuguese_Dodecad + Romanians_14_Behar @ 2.889892
    20 Ashkenazy_Jews_Behar + Portuguese_Dodecad + Spanish_Dodecad + Swedish_Dodecad @ 2.899637

    Done.

    Elapsed time 0.3074 seconds.

    ---------------------------

    I can't with that acronym

    ?
    IBS=IBIZA
    CEU=CEUTA
    TSL=TESALIA
    O=Oeste
    Hi friend Carlos.
    I don't know if this is a good calculator. I am using it for the first time. These are my results:
    Gedmatch.Com

    Dodecad V3 4-Ancestors Oracle

    This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
    Questions about results should be sent to him at: [email protected]
    Original concept proposed by Sergey Kozlov.
    Many thanks to Alexandr for helping us get this web version developed.

    The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

    Admix Results (sorted):

    # Population Percent
    1 West_European 36.11
    2 Mediterranean 35.22
    3 West_Asian 7.29
    4 Northwest_African 5.44
    5 East_European 4.56
    6 Southwest_Asian 3.55
    7 Neo_African 3.52
    8 Palaeo_African 1.93
    9 Southeast_Asian 1.20
    10 East_African 1.17


    Finished reading population data. 227 populations found.
    12 components mode.

    --------------------------------

    Least-squares method.

    Using 1 population approximation:
    1 Portuguese_Dodecad @ 11.278077
    2 N_Italian_Dodecad @ 13.352187
    3 Tuscan_Henn @ 14.437673
    4 Tuscan_Xing @ 14.843294
    5 IBS_1000Genomes @ 14.988758
    6 TSI_HapMap @ 15.070712
    7 Spanish_Dodecad @ 15.658917
    8 Spaniards_Behar @ 15.737614
    9 North_Italian_HGDP @ 16.976906
    10 French_Dodecad @ 17.123310
    11 French_HGDP @ 17.415218
    12 O_Italian_Dodecad @ 18.347452
    13 Tuscan_HGDP @ 20.249239
    14 French_Basque_HGDP @ 21.867590
    15 CEU_HapMap @ 22.448521
    16 Sardinian_HGDP @ 22.481668
    17 Slovenian_Xing @ 22.769501
    18 N._European_Xing @ 23.777786
    19 C_Italian_Dodecad @ 24.287201
    20 Orcadian_HGDP @ 24.748507

    Using 2 populations approximation:
    1 50% Portuguese_Dodecad +50% Tuscan_Xing @ 7.691201


    Using 3 populations approximation:
    1 50% French_Dodecad +25% Algeria_Henn +25% N_Italian_Dodecad @ 3.100926


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++
    1 CEU_HapMap + French_Basque_HGDP + Algeria_Henn + N_Italian_Dodecad @ 2.617986
    2 French_Basque_HGDP + Algeria_Henn + North_Italian_HGDP + Argyll_1000 Genomes @ 2.734952
    3 French_Basque_HGDP + Algeria_Henn + N_Italian_Dodecad + Argyll_1000 Genomes @ 2.753278
    4 French_Basque_HGDP + Algeria_Henn + N_Italian_Dodecad + Orcadian_HGDP @ 2.769689
    5 French_Basque_HGDP + Algeria_Henn + Orkney_1000 Genomes + Tuscan_HGDP @ 2.829372
    6 French_Basque_HGDP + Algeria_Henn + Orcadian_HGDP + Tuscan_HGDP @ 2.836386
    7 French_Basque_HGDP + Algeria_Henn + N_Italian_Dodecad + Orkney_1000 Genomes @ 2.859173
    8 French_Basque_HGDP + German_Dodecad + Algeria_Henn + North_Italian_HGDP @ 2.874258
    9 French_Basque_HGDP + Algeria_Henn + Tuscan_HGDP + Argyll_1000 Genomes @ 2.888607
    10 French_Basque_HGDP + Algeria_Henn + North_Italian_HGDP + N._European_Xing @ 2.890436
    11 CEU_HapMap + French_Basque_HGDP + Algeria_Henn + North_Italian_HGDP @ 2.897954
    12 French_Basque_HGDP + Algeria_Henn + North_Italian_HGDP + Orcadian_HGDP @ 2.937682
    13 French_Basque_HGDP + Algeria_Henn + N_Italian_Dodecad + N._European_Xing @ 2.958951
    14 Algeria_Henn + North_Italian_HGDP + North_Italian_HGDP + Norwegian_Dodecad @ 2.977415
    15 French_Basque_HGDP + Algeria_Henn + North_Italian_HGDP + Orkney_1000 Genomes @ 2.985608
    16 Algeria_Henn + N_Italian_Dodecad + Orkney_1000 Genomes + Spaniards_Behar @ 3.049607
    17 Algeria_Henn + N_Italian_Dodecad + Orcadian_HGDP + Spaniards_Behar @ 3.050490
    18 CEU_HapMap + French_Dodecad + Algeria_Henn + North_Italian_HGDP @ 3.082377
    19 French_Dodecad + French_Dodecad + Algeria_Henn + N_Italian_Dodecad @ 3.100926
    20 French_HGDP + French_Dodecad + Algeria_Henn + North_Italian_HGDP @ 3.123115

    Done.

    Elapsed time 0.4962 seconds.


    But I'm not an European, as you know. I am a latin american that have the sweet spice of slaves and Indians (in the last case, i.e, the native americans, I'm not so sure )
    Cheers :)

    PS:
    CEU means Northern Europeans from Utah;
    TSI means Tuscans from Italy;
    IBS means Iberian populations in Spain;
    O_Italian means Other Italian.
    Last edited by Duarte; 15-12-19 at 17:45.
    “Às vezes ouço passar o vento; e só de ouvir o vento passar, vale a pena ter nascido”.
    Fernando Pessoa
    Y-DNA haplogroup: R1b > M269 > L23 > L51 > P310 > L151 > P312 > DF27 > ZZ12 > ZZ19 > Z31644 > BY2285 > BY25634 > FGC35133

  7. #32
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    Ethnic group
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    Country: Australia



    1 members found this post helpful.
    Quote Originally Posted by Duarte View Post
    Hi friend Carlos.
    I don't know if this is a good calculator. I am using it for the first time. These are my results:
    Gedmatch.Com

    Dodecad V3 4-Ancestors Oracle

    This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
    Questions about results should be sent to him at: [email protected]
    Original concept proposed by Sergey Kozlov.
    Many thanks to Alexandr for helping us get this web version developed.

    The GEDmatch version of Oracle may give slightly different results from Dienekes version. The GEDmatch version uses FST weighting in its calculations.

    Admix Results (sorted):

    # Population Percent
    1 West_European 36.11
    2 Mediterranean 35.22
    3 West_Asian 7.29
    4 Northwest_African 5.44
    5 East_European 4.56
    6 Southwest_Asian 3.55
    7 Neo_African 3.52
    8 Palaeo_African 1.93
    9 Southeast_Asian 1.20
    10 East_African 1.17


    Finished reading population data. 227 populations found.
    12 components mode.

    --------------------------------

    Least-squares method.

    Using 1 population approximation:
    1 Portuguese_Dodecad @ 11.278077
    2 N_Italian_Dodecad @ 13.352187
    3 Tuscan_Henn @ 14.437673
    4 Tuscan_Xing @ 14.843294
    5 IBS_1000Genomes @ 14.988758
    6 TSI_HapMap @ 15.070712
    7 Spanish_Dodecad @ 15.658917
    8 Spaniards_Behar @ 15.737614
    9 North_Italian_HGDP @ 16.976906
    10 French_Dodecad @ 17.123310
    11 French_HGDP @ 17.415218
    12 O_Italian_Dodecad @ 18.347452
    13 Tuscan_HGDP @ 20.249239
    14 French_Basque_HGDP @ 21.867590
    15 CEU_HapMap @ 22.448521
    16 Sardinian_HGDP @ 22.481668
    17 Slovenian_Xing @ 22.769501
    18 N._European_Xing @ 23.777786
    19 C_Italian_Dodecad @ 24.287201
    20 Orcadian_HGDP @ 24.748507

    Using 2 populations approximation:
    1 50% Portuguese_Dodecad +50% Tuscan_Xing @ 7.691201


    Using 3 populations approximation:
    1 50% French_Dodecad +25% Algeria_Henn +25% N_Italian_Dodecad @ 3.100926


    Using 4 populations approximation:
    ++++++++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++
    1 CEU_HapMap + French_Basque_HGDP + Algeria_Henn + N_Italian_Dodecad @ 2.617986
    2 French_Basque_HGDP + Algeria_Henn + North_Italian_HGDP + Argyll_1000 Genomes @ 2.734952
    3 French_Basque_HGDP + Algeria_Henn + N_Italian_Dodecad + Argyll_1000 Genomes @ 2.753278
    4 French_Basque_HGDP + Algeria_Henn + N_Italian_Dodecad + Orcadian_HGDP @ 2.769689
    5 French_Basque_HGDP + Algeria_Henn + Orkney_1000 Genomes + Tuscan_HGDP @ 2.829372
    6 French_Basque_HGDP + Algeria_Henn + Orcadian_HGDP + Tuscan_HGDP @ 2.836386
    7 French_Basque_HGDP + Algeria_Henn + N_Italian_Dodecad + Orkney_1000 Genomes @ 2.859173
    8 French_Basque_HGDP + German_Dodecad + Algeria_Henn + North_Italian_HGDP @ 2.874258
    9 French_Basque_HGDP + Algeria_Henn + Tuscan_HGDP + Argyll_1000 Genomes @ 2.888607
    10 French_Basque_HGDP + Algeria_Henn + North_Italian_HGDP + N._European_Xing @ 2.890436
    11 CEU_HapMap + French_Basque_HGDP + Algeria_Henn + North_Italian_HGDP @ 2.897954
    12 French_Basque_HGDP + Algeria_Henn + North_Italian_HGDP + Orcadian_HGDP @ 2.937682
    13 French_Basque_HGDP + Algeria_Henn + N_Italian_Dodecad + N._European_Xing @ 2.958951
    14 Algeria_Henn + North_Italian_HGDP + North_Italian_HGDP + Norwegian_Dodecad @ 2.977415
    15 French_Basque_HGDP + Algeria_Henn + North_Italian_HGDP + Orkney_1000 Genomes @ 2.985608
    16 Algeria_Henn + N_Italian_Dodecad + Orkney_1000 Genomes + Spaniards_Behar @ 3.049607
    17 Algeria_Henn + N_Italian_Dodecad + Orcadian_HGDP + Spaniards_Behar @ 3.050490
    18 CEU_HapMap + French_Dodecad + Algeria_Henn + North_Italian_HGDP @ 3.082377
    19 French_Dodecad + French_Dodecad + Algeria_Henn + N_Italian_Dodecad @ 3.100926
    20 French_HGDP + French_Dodecad + Algeria_Henn + North_Italian_HGDP @ 3.123115

    Done.

    Elapsed time 0.4962 seconds.


    But I'm not an European, as you know. I am a latin american that have the sweet spice of slaves and Indians (in the last case, i.e, the native americans, I'm not so sure )
    Cheers :)

    PS:
    CEU means Northern Europeans from Utah;
    TSI means Tuscans from Italy;
    IBS means Iberian populations in Spain;
    O_Italian means Other Italian.


    a lot of north portuguese and Galician are mixed with north Italians ................it goes back to the 14th century , when Venice ships used Portugal as a stopover heading to southampton, london and the netherlands.......many venetian captains where hired by the portuguese king as well ...like ancestor of

    https://en.wikipedia.org/wiki/Francesco_da_Mosto

    https://www.britannica.com/biography/Alvise-Ca-da-Mosto .......................Ca means house .......so, Alvise from the house ( family ) of da Mosto
    Alvise is Luis in venetian

    A few genoese also hired themselves out to the portuguese

    so you could have ancestors from both areas
    Fathers mtdna T2b17
    Grandfather mtdna T1a1e
    Sons mtdna K1a4o
    Mum paternal line R1b-S8172
    Grandmum paternal side I1d1-P109
    Wife paternal line R1a-Z282

  8. #33
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    Quote Originally Posted by torzio View Post
    a lot of north portuguese and Galician are mixed with north Italians ................it goes back to the 14th century , when Venice ships used Portugal as a stopover heading to southampton, london and the netherlands.......many venetian captains where hired by the portuguese king as well ...like ancestor of

    https://en.wikipedia.org/wiki/Francesco_da_Mosto

    https://www.britannica.com/biography/Alvise-Ca-da-Mosto .......................Ca means house .......so, Alvise from the house ( family ) of da Mosto
    Alvise is Luis in venetian

    A few genoese also hired themselves out to the portuguese

    so you could have ancestors from both areas
    Thanks for the informations and the links, torzio. You are too kind.
    Last edited by Duarte; 16-12-19 at 03:48. Reason: orthographic mistake

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    There were Italians who came to Portugal as sailors, but I would say that this is truer for the urban areas and particularly coastal ports. Though I poured over the 17th and 18th century parish records of Lisbon and did notice some foreigners, the largest by far being Galicians, followed by English/Scottish/Irish, though Italians were less numerous.

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    1 members found this post helpful.
    Quote Originally Posted by Angela View Post
    Have you ever read a genetics paper? There isn't very much "Suebi" or "Germanic" ancestry in the Portuguese.

    See where you are? See where the Germans are?



    I think you're on the wrong forum.
    Despite ES and FR clustering on themselves, there seems to be also a connection between both. It would be interesting to see if the Spanish points that are close to France in the PCA map are also close geographically to France (e.g. Catalonia, Euskadi, etc.). I think there was a different paper suggesting something like this already.

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    Quote Originally Posted by Farstar View Post
    Despite ES and FR clustering on themselves, there seems to be also a connection between both. It would be interesting to see if the Spanish points that are close to France in the PCA map are also close geographically to France (e.g. Catalonia, Euskadi, etc.). I think there was a different paper suggesting something like this already.
    That's probably the case.

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