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Thread: Y-DNA frequencies in FTDNA tree

  1. #1
    Regular Member Regio X's Avatar
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    4 members found this post helpful.

    Y-DNA frequencies in FTDNA tree

    I don't remember seeing it before, so, for fun, here're frequencies of haplogroups in FTDNA tree (not projects) by flags, which are based on the self-reported MDKA's locations. Although these frequencies are based on about 84,000 samples, they don't necessarily represent modern frequencies in all cases. Perhaps the J1 frequency in Eastern Europe is a nice example, as it's so frequent among Ashkenazi. Many fled to America, where DNA testers seem to concentrate.
    Plus, we should expect some biases, especially in the cases there're important regional variations. For example, the R1b % for Italy based on FTDNA tree, lower than expected, may be related to the fact that most of the FTDNA testers with Italian patrilineal ancestry are Italian-Americans, who in turn descend mostly from South Italians, as far as I know.

    So, the %s suggested for Europe as a whole, based on male populations in each country, are just references, and they should not be taken literally. The scope is FTDNA tree. It seems an interesting approach anyway, because it doesn't make sense to average %s of countries with very different population sizes.

    I've included Turkey out of curiosity, since part of it is located in Europe, but I didn't use it for estimating %s in Europe.

    For determining the % of certain macro-haplogroup for certain flag, I simply divided the number of testers who informed this flag and who belong to this haplogroup by the number of testers associated to the same flag in the root haplogroup A-PR2921. The data is from two days ago.
    For example, there were 7468 R1b testers under the English flag, and 13768 under the A-PR2921. It'd mean that abt. 54% of the FTDNA testers under the English flag belong to the haplogroup R1b.

    I used another FTDNA tool, but the numbers could be checked also here, apparently: https://www.familytreedna.com/public/y-dna-haplotree (see Country Report).
    It seems to work well for macro-haplogroups, but the estimations may become more complex when it comes to low level haplogroups.


    C-M216 E-M96 G-M201 H-L901 I1-M253 I2-P215 J1-M267 J2-M172 L-M20 N-M231 Q-M242 R1a-M420 R1b-M343 T-M184 Others A-PR2921 samples in FTDNA Tree Male population (approx.)
    Albania 0.00% 29.05% 0.68% 0.00% 10.14% 9.46% 2.70% 22.30% 0.00% 0.00% 0.00% 6.08% 18.24% 0.00% 1.35% 148 1,430,000
    Austria 0.18% 10.81% 7.75% 0.18% 9.19% 9.01% 7.21% 9.19% 1.08% 0.54% 0.90% 15.32% 26.13% 1.26% 1.26% 555 4,357,000
    Belarus 0.00% 13.66% 6.56% 0.00% 1.91% 6.42% 17.08% 14.07% 0.14% 5.74% 1.37% 21.04% 9.56% 1.64% 0.82% 732 4,416,000
    Belgium 0.00% 4.47% 5.65% 0.00% 13.41% 5.65% 1.41% 6.35% 0.71% 0.00% 0.47% 3.06% 55.29% 2.12% 1.41% 425 5,645,000
    Bosnia&Herz 0.00% 12.15% 1.10% 0.00% 11.60% 38.67% 1.66% 8.84% 0.00% 1.10% 1.10% 20.99% 2.76% 0.00% 0.00% 181 1,876,000
    Bulgaria 0.00% 18.40% 6.78% 0.73% 5.33% 20.82% 4.36% 14.29% 0.24% 0.73% 1.21% 10.90% 14.04% 1.45% 0.73% 413 3,396,000
    Croatia 0.00% 12.87% 2.97% 0.50% 7.92% 35.15% 0.99% 6.93% 0.99% 1.49% 1.49% 17.33% 8.91% 1.49% 0.99% 202 1,973,000
    Czech Rep 0.24% 8.20% 5.51% 0.12% 6.49% 10.65% 3.30% 5.88% 0.24% 2.45% 0.37% 28.03% 27.42% 0.86% 0.24% 817 5,244,000
    Denmark 0.00% 2.64% 2.79% 0.15% 36.51% 8.65% 0.15% 2.35% 0.00% 1.17% 1.76% 8.50% 33.14% 0.73% 1.47% 682 2,889,000
    England 0.05% 3.45% 3.81% 0.19% 18.11% 8.98% 0.75% 2.79% 0.08% 0.14% 0.71% 4.17% 54.24% 0.52% 2.01% 13,768 26,069,148
    Estonia 0.00% 2.46% 0.82% 0.00% 13.11% 2.46% 0.82% 0.00% 0.00% 40.98% 0.00% 24.59% 13.93% 0.00% 0.82% 122 625,635
    Finland 0.00% 0.59% 0.37% 0.08% 25.37% 0.86% 0.11% 0.24% 0.03% 60.55% 0.13% 5.70% 5.49% 0.11% 0.37% 3,736 2,723,000
    France 0.09% 5.77% 6.39% 0.09% 8.84% 6.36% 1.50% 7.30% 0.16% 0.13% 0.34% 2.51% 58.45% 1.00% 1.07% 3,191 32,390,000
    Germany 0.13% 6.85% 7.28% 0.02% 16.98% 8.52% 2.87% 7.33% 0.32% 0.37% 0.75% 9.73% 36.27% 1.03% 1.56% 8,570 40,970,000
    Greece 0.42% 16.22% 11.14% 0.00% 1.97% 11.85% 11.28% 20.45% 3.81% 0.28% 0.85% 5.50% 11.85% 2.68% 1.69% 709 5,208,000
    Hungary 0.21% 9.16% 5.96% 0.21% 6.92% 10.76% 9.16% 12.67% 0.21% 1.92% 2.45% 19.38% 18.64% 1.28% 1.06% 939 4,676,000
    Iceland 0.00% 0.74% 0.00% 0.00% 31.11% 0.74% 0.00% 0.00% 0.74% 0.00% 7.41% 22.96% 35.56% 0.00% 0.74% 135 182,837
    Ireland 0.07% 1.45% 1.22% 0.06% 6.60% 7.65% 0.58% 1.55% 0.05% 0.04% 0.16% 1.92% 77.85% 0.25% 0.57% 10,527 2,429,000
    Italy 0.22% 12.87% 13.93% 0.13% 3.53% 4.91% 7.32% 20.61% 0.83% 0.06% 0.51% 3.31% 27.00% 3.66% 1.09% 3,115 29,380,000
    Latvia 0.00% 7.81% 4.17% 0.00% 2.08% 4.69% 11.98% 12.50% 0.00% 21.88% 4.69% 17.19% 10.42% 1.04% 1.56% 192 884,909
    Lithuania 0.12% 10.82% 6.90% 0.00% 2.38% 2.73% 15.93% 11.53% 0.00% 15.70% 3.45% 17.84% 9.39% 1.90% 1.31% 841 1,296,000
    Luxembourg 0.00% 7.84% 7.84% 0.00% 1.96% 3.92% 1.96% 5.88% 0.00% 0.00% 0.00% 5.88% 62.75% 0.00% 1.96% 51 308,720
    Macedonia 0.00% 18.28% 5.38% 1.08% 6.45% 21.51% 4.30% 16.13% 0.00% 0.00% 1.08% 13.98% 8.60% 2.15% 1.08% 93 1,040,000
    Moldova 0.00% 9.46% 6.76% 1.35% 2.70% 4.05% 21.62% 18.92% 2.70% 0.00% 2.70% 18.92% 6.76% 2.70% 1.35% 74 1,707,000
    Montenegro 0.00% 18.48% 4.35% 0.00% 7.61% 22.83% 1.09% 6.52% 1.09% 3.26% 0.00% 7.61% 27.17% 0.00% 0.00% 92 307,712
    Netherlands 0.00% 4.85% 4.94% 0.26% 21.53% 7.91% 1.62% 5.02% 0.00% 0.34% 1.53% 3.15% 46.47% 1.36% 1.02% 1,175 8,581,000
    North. Ireland 0.08% 1.17% 0.78% 0.00% 10.58% 11.36% 1.40% 1.25% 0.00% 0.23% 0.00% 3.04% 69.03% 0.39% 0.70% 1,285 928,149
    Norway 0.00% 1.07% 1.39% 0.05% 37.33% 4.12% 0.37% 0.91% 0.00% 2.57% 3.75% 21.59% 25.66% 0.27% 0.91% 1,867 2,685,000
    Poland 0.38% 6.76% 3.55% 0.03% 6.32% 8.24% 8.77% 8.77% 0.06% 3.43% 1.70% 36.95% 13.49% 1.01% 0.53% 3,180 18,380,000
    Portugal 0.00% 12.77% 7.02% 0.23% 4.83% 5.18% 5.41% 10.36% 0.35% 0.23% 0.35% 1.50% 47.30% 4.03% 0.46% 869 4,852,000
    Romania 0.21% 12.95% 6.79% 0.64% 5.73% 10.19% 14.01% 18.90% 0.21% 1.27% 2.12% 10.83% 12.10% 2.76% 1.27% 471 9,500,000
    Russia 2.69% 3.56% 7.37% 0.06% 3.81% 4.07% 11.95% 18.03% 2.14% 13.52% 2.44% 20.90% 6.13% 0.85% 2.48% 5,087 51,323,000 (Euro)
    Scotland 0.10% 1.54% 0.98% 0.08% 12.21% 7.81% 0.63% 1.90% 0.04% 0.05% 0.16% 5.18% 68.39% 0.16% 0.78% 7,668 2,656,000
    Serbia 0.00% 12.32% 1.48% 0.49% 6.40% 26.60% 2.46% 10.34% 0.00% 9.36% 0.49% 16.26% 13.30% 0.00% 0.49% 203 3,393,000
    Slovakia 0.49% 8.64% 5.68% 0.25% 5.68% 14.57% 5.93% 4.94% 0.00% 4.69% 0.00% 33.09% 12.59% 1.23% 2.22% 405 2,661,000
    Slovenia 0.00% 6.85% 5.48% 0.00% 15.07% 19.18% 0.00% 8.90% 1.37% 0.00% 0.00% 26.03% 15.07% 1.37% 0.68% 146 1,039,000
    Spain 0.26% 11.92% 6.35% 0.04% 4.89% 6.05% 6.95% 10.29% 0.30% 0.13% 0.86% 1.59% 46.48% 2.83% 1.07% 2,332 23,010,000
    Sweden 0.00% 1.38% 2.40% 0.05% 44.67% 3.37% 0.10% 0.91% 0.05% 7.44% 4.13% 14.31% 20.89% 0.05% 0.23% 3,830 5,142,000
    Switzerland 0.00% 7.14% 12.05% 0.26% 11.42% 9.18% 1.21% 6.38% 0.89% 0.13% 0.77% 3.25% 45.03% 0.96% 1.34% 1,568 4,237,000
    Turkey 0.89% 6.57% 12.81% 0.22% 0.67% 2.78% 15.37% 25.17% 4.90% 1.78% 2.23% 6.01% 13.14% 4.90% 2.56% 898 0
    Ukraine 0.40% 12.06% 5.74% 0.13% 2.70% 11.54% 15.49% 13.45% 0.26% 2.44% 2.11% 20.57% 9.49% 1.98% 1.65% 1,517 19,460,000
    Wales 0.00% 3.32% 4.49% 0.00% 12.31% 5.30% 0.72% 1.44% 0.00% 0.00% 0.09% 1.17% 69.81% 0.27% 1.08% 1,113 1,547,000
    Europe (based on pop sizes) 0.54% 7.73% 6.59% 0.13% 9.64% 7.89% 6.39% 10.88% 0.64% 3.61% 1.25% 11.92% 29.94% 1.47% 1.39% 340,818,110

  2. #2
    Regular Member Regio X's Avatar
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    More interesting references for comparison, from modern Europeans. As always, biases are possible. Unfortunately, it's not possible to know the divisions by country.

    They're not references to the number of people that were confirmed for certain haplogroup. They actually show the number of samples that get the ancestor or derived alleles among those who got results for the position.
    Numbers from genomAD seem more coherent. In the case of HGDP and 1000 genomes (1KG), the number of samples is too low.
    I didn't find a reliable SNP for I2 in NCBI, so I inferred the % in about ~7 (100 - sum of the others).
    The %s from genomAD sum up to 94% only, so I just applied a little correction. No big deal.

    genomAD in special is a nice tool to play with.

    Nr results for SNP Allele Count Frequency Corrected
    E
    genomAD v3.1.2 M96 (n=)
    European (non-Finnish) 13384 607 4.54% 4.85%
    Admixed American 3567 464 13.01%
    Ashkenazi 765 185 24.18%
    Amish 212 0 0.00%
    NCBI ALFA European 23366 1248 5.34%
    HGDP European 77 3 3.90%
    1KG European (source 1) 243 7 2.88%
    1000 Genomes (source 2)
    CEU 49 0 0.00%
    FIN 38 0 0.00%
    GBR 46 0 0.00%
    IBS 54 2 3.70%
    TSI 53 4 7.55%
    G
    genomAD v3.1.2 M201 (n=)
    European (non-Finnish) 13496 455 3.37% 3.61%
    Admixed American 3624 215 5.93%
    Ashkenazi 765 62 8.10%
    Amish 216 31 14.35%
    NCBI ALFA European 29798 1176 3.95%
    HGDP European 79 6 7.59%
    1KG European (source 1) 243 7 2.88%
    1000 Genomes (source 2)
    CEU 49 3 6.12%
    FIN 38 0 0.00%
    GBR 46 0 0.00%
    IBS 54 2 3.70%
    TSI 53 2 3.77%
    I1
    genomAD v3.1.2 M253 (n=)
    European (non-Finnish) 13451 1548 11.51% 12.32%
    Admixed American 3665 83 2.26%
    Ashkenazi 761 2 0.26%
    Amish 212 7 3.30%
    NCBI ALFA European 60756 7781 12.81%
    HGDP European 79 2 2.53%
    1KG European (source 1) 242 25 10.33%
    1000 Genomes (source 2)
    CEU 49 8 16.33%
    FIN 38 9 23.68%
    GBR 46 6 13.04%
    IBS 54 0 0.00%
    TSI 53 2 3.77%
    I2
    genomAD v3.1.2 P215 (n=)
    European (non-Finnish) 13434 939 6.99% 7.48%
    Admixed American 3588 149 4.15%
    Ashkenazi 759 23 3.03%
    Amish 214 1 0.47%
    NCBI ALFA European 7.00%
    HGDP European 80 13 16.25%
    1KG European (source 1) 235 7 2.98%
    1000 Genomes (source 2)
    CEU 49 4 8.16%
    FIN 38 1 2.63%
    GBR 46 1 2.17%
    IBS 54 2 3.70%
    TSI 53 0 0.00%
    L
    genomAD v3.1.2 M20 (n=)
    European (non-Finnish) 13643 20 0.15% 0.16%
    Admixed American 3738 24 0.64%
    Ashkenazi 771 3 0.39%
    Amish 215 0 0.00%
    NCBI ALFA European 59962 869 1.45%
    HGDP European 81 0 0.00%
    1KG European (source 1) 241 0 0.00%
    1000 Genomes (source 2)
    CEU 49 0 0.00%
    FIN 38 0 0.00%
    GBR 46 0 0.00%
    IBS 54 0 0.00%
    TSI 53 0 0.00%
    N
    genomAD v3.1.2 M231 (n=)
    European (non-Finnish) 13457 423 3.14% 3.36%
    Admixed American 3624 2 0.06%
    Ashkenazi 762 1 0.13%
    Amish 211 0 0.00%
    NCBI ALFA European 73420 1145 1.56%
    HGDP European 77 2 2.60%
    1KG European (source 1) 244 22 9.02%
    1000 Genomes (source 2)
    CEU 49 0 0.00%
    FIN 38 23 60.53%
    GBR 46 0 0.00%
    IBS 54 0 0.00%
    TSI 53 0 0.00%
    Q
    genomAD v3.1.2 M242 (n=)
    European (non-Finnish) 13478 50 0.37% 0.40%
    Admixed American 3584 410 11.44%
    Ashkenazi 771 25 3.24%
    Amish 215 0 0.00%
    NCBI ALFA European 75852 2002 2.64%
    HGDP European 81 1 1.23%
    1KG European (source 1) 240 0 0.00%
    1000 Genomes (source 2)
    CEU 49 0 0.00%
    FIN 38 0 0.00%
    GBR 46 0 0.00%
    IBS 54 0 0.00%
    TSI 53 0 0.00%
    R1a
    genomAD v3.1.2 M513 (n=)
    European (non-Finnish) 13547 1213 8.95% 9.58%
    Admixed American 3586 19 0.53%
    Ashkenazi 767 59 7.69%
    Amish 216 4 1.85%
    NCBI ALFA European 71848 6800 9.46%
    HGDP European 78 8 10.26%
    1KG European (source 1) 243 10 4.12%
    1000 Genomes (source 2) M420 (n=)
    CEU 49 2 4.08%
    FIN 38 3 7.89%
    GBR 46 4 8.70%
    IBS 54 1 1.85%
    TSI 53 2 3.77%
    R1b
    genomAD v3.0 M343 (n=)
    European (non-Finnish) 12352 6636 53.72% 57.50%
    Admixed American 3137 1554 49.54%
    Ashkenazi 740 74 10.00%
    Amish 201 142 70.65%
    NCBI ALFA European 33834 18329 54.17%
    1000 Genomes
    CEU 49 30 61.22%
    FIN 38 1 2.63%
    GBR 46 34 73.91%
    IBS 54 39 72.22%
    TSI 53 24 45.28%
    T
    genomAD v3.1.2 M184 (n=)
    European (non-Finnish) 13476 93 0.69% 0.74%
    Admixed American 3700 62 1.68%
    Ashkenazi 773 35 4.53%
    Amish 214 0 0.00%
    NCBI ALFA European CTS482 (n=)
    69224 989 1.43%
    M184 (n=)
    80408 2678 3.33%
    HGDP European 82 0 0.00%
    1KG European (source 1) 241 3 1.24%
    1000 Genomes (source 2)
    CEU 49 0 0.00%
    FIN 38 0 0.00%
    GBR 46 0 0.00%
    IBS 54 1 1.85%
    TSI 53 3 5.66%

  3. #3
    Regular Member Regio X's Avatar
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    Country: Italy



    3 members found this post helpful.
    Quote Originally Posted by Regio X View Post
    I don't remember seeing it before, so, for fun, here're frequencies of haplogroups in FTDNA tree (not projects) by flags, which are based on the self-reported MDKA's locations. Although these frequencies are based on about 84,000 samples, they don't necessarily represent modern frequencies in all cases. Perhaps the J1 frequency in Eastern Europe is a nice example, as it's so frequent among Ashkenazi. Many fled to America, where DNA testers seem to concentrate.
    Plus, we should expect some biases, especially in the cases there're important regional variations. For example, the R1b % for Italy based on FTDNA tree, lower than expected, may be related to the fact that most of the FTDNA testers with Italian patrilineal ancestry are Italian-Americans, who in turn descend mostly from South Italians, as far as I know.

    So, the %s suggested for Europe as a whole, based on male populations in each country, are just references, and they should not be taken literally. The scope is FTDNA tree. It seems an interesting approach anyway, because it doesn't make sense to average %s of countries with very different population sizes.

    I've included Turkey out of curiosity, since part of it is located in Europe, but I didn't use it for estimating %s in Europe.

    For determining the % of certain macro-haplogroup for certain flag, I simply divided the number of testers who informed this flag and who belong to this haplogroup by the number of testers associated to the same flag in the root haplogroup A-PR2921. The data is from two days ago.
    For example, there were 7468 R1b testers under the English flag, and 13768 under the A-PR2921. It'd mean that abt. 54% of the FTDNA testers under the English flag belong to the haplogroup R1b.

    I used another FTDNA tool, but the numbers could be checked also here, apparently: https://www.familytreedna.com/public/y-dna-haplotree (see Country Report).
    It seems to work well for macro-haplogroups, but the estimations may become more complex when it comes to low level haplogroups.


    C-M216 E-M96 G-M201 H-L901 I1-M253 I2-P215 J1-M267 J2-M172 L-M20 N-M231 Q-M242 R1a-M420 R1b-M343 T-M184 Others A-PR2921 samples in FTDNA Tree Male population (approx.)
    Albania 0.00% 29.05% 0.68% 0.00% 10.14% 9.46% 2.70% 22.30% 0.00% 0.00% 0.00% 6.08% 18.24% 0.00% 1.35% 148 1,430,000
    Austria 0.18% 10.81% 7.75% 0.18% 9.19% 9.01% 7.21% 9.19% 1.08% 0.54% 0.90% 15.32% 26.13% 1.26% 1.26% 555 4,357,000
    Belarus 0.00% 13.66% 6.56% 0.00% 1.91% 6.42% 17.08% 14.07% 0.14% 5.74% 1.37% 21.04% 9.56% 1.64% 0.82% 732 4,416,000
    Belgium 0.00% 4.47% 5.65% 0.00% 13.41% 5.65% 1.41% 6.35% 0.71% 0.00% 0.47% 3.06% 55.29% 2.12% 1.41% 425 5,645,000
    Bosnia&Herz 0.00% 12.15% 1.10% 0.00% 11.60% 38.67% 1.66% 8.84% 0.00% 1.10% 1.10% 20.99% 2.76% 0.00% 0.00% 181 1,876,000
    Bulgaria 0.00% 18.40% 6.78% 0.73% 5.33% 20.82% 4.36% 14.29% 0.24% 0.73% 1.21% 10.90% 14.04% 1.45% 0.73% 413 3,396,000
    Croatia 0.00% 12.87% 2.97% 0.50% 7.92% 35.15% 0.99% 6.93% 0.99% 1.49% 1.49% 17.33% 8.91% 1.49% 0.99% 202 1,973,000
    Czech Rep 0.24% 8.20% 5.51% 0.12% 6.49% 10.65% 3.30% 5.88% 0.24% 2.45% 0.37% 28.03% 27.42% 0.86% 0.24% 817 5,244,000
    Denmark 0.00% 2.64% 2.79% 0.15% 36.51% 8.65% 0.15% 2.35% 0.00% 1.17% 1.76% 8.50% 33.14% 0.73% 1.47% 682 2,889,000
    England 0.05% 3.45% 3.81% 0.19% 18.11% 8.98% 0.75% 2.79% 0.08% 0.14% 0.71% 4.17% 54.24% 0.52% 2.01% 13,768 26,069,148
    Estonia 0.00% 2.46% 0.82% 0.00% 13.11% 2.46% 0.82% 0.00% 0.00% 40.98% 0.00% 24.59% 13.93% 0.00% 0.82% 122 625,635
    Finland 0.00% 0.59% 0.37% 0.08% 25.37% 0.86% 0.11% 0.24% 0.03% 60.55% 0.13% 5.70% 5.49% 0.11% 0.37% 3,736 2,723,000
    France 0.09% 5.77% 6.39% 0.09% 8.84% 6.36% 1.50% 7.30% 0.16% 0.13% 0.34% 2.51% 58.45% 1.00% 1.07% 3,191 32,390,000
    Germany 0.13% 6.85% 7.28% 0.02% 16.98% 8.52% 2.87% 7.33% 0.32% 0.37% 0.75% 9.73% 36.27% 1.03% 1.56% 8,570 40,970,000
    Greece 0.42% 16.22% 11.14% 0.00% 1.97% 11.85% 11.28% 20.45% 3.81% 0.28% 0.85% 5.50% 11.85% 2.68% 1.69% 709 5,208,000
    Hungary 0.21% 9.16% 5.96% 0.21% 6.92% 10.76% 9.16% 12.67% 0.21% 1.92% 2.45% 19.38% 18.64% 1.28% 1.06% 939 4,676,000
    Iceland 0.00% 0.74% 0.00% 0.00% 31.11% 0.74% 0.00% 0.00% 0.74% 0.00% 7.41% 22.96% 35.56% 0.00% 0.74% 135 182,837
    Ireland 0.07% 1.45% 1.22% 0.06% 6.60% 7.65% 0.58% 1.55% 0.05% 0.04% 0.16% 1.92% 77.85% 0.25% 0.57% 10,527 2,429,000
    Italy 0.22% 12.87% 13.93% 0.13% 3.53% 4.91% 7.32% 20.61% 0.83% 0.06% 0.51% 3.31% 27.00% 3.66% 1.09% 3,115 29,380,000
    Latvia 0.00% 7.81% 4.17% 0.00% 2.08% 4.69% 11.98% 12.50% 0.00% 21.88% 4.69% 17.19% 10.42% 1.04% 1.56% 192 884,909
    Lithuania 0.12% 10.82% 6.90% 0.00% 2.38% 2.73% 15.93% 11.53% 0.00% 15.70% 3.45% 17.84% 9.39% 1.90% 1.31% 841 1,296,000
    Luxembourg 0.00% 7.84% 7.84% 0.00% 1.96% 3.92% 1.96% 5.88% 0.00% 0.00% 0.00% 5.88% 62.75% 0.00% 1.96% 51 308,720
    Macedonia 0.00% 18.28% 5.38% 1.08% 6.45% 21.51% 4.30% 16.13% 0.00% 0.00% 1.08% 13.98% 8.60% 2.15% 1.08% 93 1,040,000
    Moldova 0.00% 9.46% 6.76% 1.35% 2.70% 4.05% 21.62% 18.92% 2.70% 0.00% 2.70% 18.92% 6.76% 2.70% 1.35% 74 1,707,000
    Montenegro 0.00% 18.48% 4.35% 0.00% 7.61% 22.83% 1.09% 6.52% 1.09% 3.26% 0.00% 7.61% 27.17% 0.00% 0.00% 92 307,712
    Netherlands 0.00% 4.85% 4.94% 0.26% 21.53% 7.91% 1.62% 5.02% 0.00% 0.34% 1.53% 3.15% 46.47% 1.36% 1.02% 1,175 8,581,000
    North. Ireland 0.08% 1.17% 0.78% 0.00% 10.58% 11.36% 1.40% 1.25% 0.00% 0.23% 0.00% 3.04% 69.03% 0.39% 0.70% 1,285 928,149
    Norway 0.00% 1.07% 1.39% 0.05% 37.33% 4.12% 0.37% 0.91% 0.00% 2.57% 3.75% 21.59% 25.66% 0.27% 0.91% 1,867 2,685,000
    Poland 0.38% 6.76% 3.55% 0.03% 6.32% 8.24% 8.77% 8.77% 0.06% 3.43% 1.70% 36.95% 13.49% 1.01% 0.53% 3,180 18,380,000
    Portugal 0.00% 12.77% 7.02% 0.23% 4.83% 5.18% 5.41% 10.36% 0.35% 0.23% 0.35% 1.50% 47.30% 4.03% 0.46% 869 4,852,000
    Romania 0.21% 12.95% 6.79% 0.64% 5.73% 10.19% 14.01% 18.90% 0.21% 1.27% 2.12% 10.83% 12.10% 2.76% 1.27% 471 9,500,000
    Russia 2.69% 3.56% 7.37% 0.06% 3.81% 4.07% 11.95% 18.03% 2.14% 13.52% 2.44% 20.90% 6.13% 0.85% 2.48% 5,087 51,323,000 (Euro)
    Scotland 0.10% 1.54% 0.98% 0.08% 12.21% 7.81% 0.63% 1.90% 0.04% 0.05% 0.16% 5.18% 68.39% 0.16% 0.78% 7,668 2,656,000
    Serbia 0.00% 12.32% 1.48% 0.49% 6.40% 26.60% 2.46% 10.34% 0.00% 9.36% 0.49% 16.26% 13.30% 0.00% 0.49% 203 3,393,000
    Slovakia 0.49% 8.64% 5.68% 0.25% 5.68% 14.57% 5.93% 4.94% 0.00% 4.69% 0.00% 33.09% 12.59% 1.23% 2.22% 405 2,661,000
    Slovenia 0.00% 6.85% 5.48% 0.00% 15.07% 19.18% 0.00% 8.90% 1.37% 0.00% 0.00% 26.03% 15.07% 1.37% 0.68% 146 1,039,000
    Spain 0.26% 11.92% 6.35% 0.04% 4.89% 6.05% 6.95% 10.29% 0.30% 0.13% 0.86% 1.59% 46.48% 2.83% 1.07% 2,332 23,010,000
    Sweden 0.00% 1.38% 2.40% 0.05% 44.67% 3.37% 0.10% 0.91% 0.05% 7.44% 4.13% 14.31% 20.89% 0.05% 0.23% 3,830 5,142,000
    Switzerland 0.00% 7.14% 12.05% 0.26% 11.42% 9.18% 1.21% 6.38% 0.89% 0.13% 0.77% 3.25% 45.03% 0.96% 1.34% 1,568 4,237,000
    Turkey 0.89% 6.57% 12.81% 0.22% 0.67% 2.78% 15.37% 25.17% 4.90% 1.78% 2.23% 6.01% 13.14% 4.90% 2.56% 898 0
    Ukraine 0.40% 12.06% 5.74% 0.13% 2.70% 11.54% 15.49% 13.45% 0.26% 2.44% 2.11% 20.57% 9.49% 1.98% 1.65% 1,517 19,460,000
    Wales 0.00% 3.32% 4.49% 0.00% 12.31% 5.30% 0.72% 1.44% 0.00% 0.00% 0.09% 1.17% 69.81% 0.27% 1.08% 1,113 1,547,000
    Europe (based on pop sizes) 0.54% 7.73% 6.59% 0.13% 9.64% 7.89% 6.39% 10.88% 0.64% 3.61% 1.25% 11.92% 29.94% 1.47% 1.39% 340,818,110
    Wow!

    Family Tree DNA just released nice Y tools, which can be found here: https://discover.familytreedna.com/

    The kind of statistics I calculated above may now be checked in one of the tools.
    R1b-M343: https://discover.familytreedna.com/y...M343/frequency
    R1a-M420: https://discover.familytreedna.com/y...M420/frequency
    J2-M172: https://discover.familytreedna.com/y...M172/frequency
    J1-M267: https://discover.familytreedna.com/y...M267/frequency
    E-M96: https://discover.familytreedna.com/y...-M96/frequency
    I1-M253: https://discover.familytreedna.com/y...M253/frequency
    I2-P215: https://discover.familytreedna.com/y...P215/frequency
    G-M201: https://discover.familytreedna.com/y...M201/frequency
    N-M231: https://discover.familytreedna.com/y...M231/frequency
    T-M184: https://discover.familytreedna.com/y...M184/frequency
    Q-M242: https://discover.familytreedna.com/y...M242/frequency
    L-M20: https://discover.familytreedna.com/y...-M20/frequency
    H-L901: https://discover.familytreedna.com/y...L901/frequency
    etc.

    As expected, it works well for macro-haplogroups, but not so greatly for low level haplogroups, because there are many men just superficially tested in the database.

    Another nice tool, and perhaps the most awaited, is the Age Estimate, built with the participation of I. McDonald.
    Here's R-L2's, for example:

    https://discover.familytreedna.com/y...-L2/scientific

  4. #4
    Regular Member torzio's Avatar
    Join Date
    10-05-19
    Location
    Australia
    Posts
    3,027

    Y-DNA haplogroup
    T1a2 - SK1480
    MtDNA haplogroup
    H95a

    Ethnic group
    North Italian
    Country: Australia



    Quote Originally Posted by Regio X View Post
    Wow!
    Family Tree DNA just released nice Y tools, which can be found here: https://discover.familytreedna.com/
    The kind of statistics I calculated above may now be checked in one of the tools.
    R1b-M343: https://discover.familytreedna.com/y...M343/frequency
    R1a-M420: https://discover.familytreedna.com/y...M420/frequency
    J2-M172: https://discover.familytreedna.com/y...M172/frequency
    J1-M267: https://discover.familytreedna.com/y...M267/frequency
    E-M96: https://discover.familytreedna.com/y...-M96/frequency
    I1-M253: https://discover.familytreedna.com/y...M253/frequency
    I2-P215: https://discover.familytreedna.com/y...P215/frequency
    G-M201: https://discover.familytreedna.com/y...M201/frequency
    N-M231: https://discover.familytreedna.com/y...M231/frequency
    T-M184: https://discover.familytreedna.com/y...M184/frequency
    Q-M242: https://discover.familytreedna.com/y...M242/frequency
    L-M20: https://discover.familytreedna.com/y...-M20/frequency
    H-L901: https://discover.familytreedna.com/y...L901/frequency
    etc.
    As expected, it works well for macro-haplogroups, but not so greatly for low level haplogroups, because there are many men just superficially tested in the database.
    Another nice tool, and perhaps the most awaited, is the Age Estimate, built with the participation of I. McDonald.
    Here's R-L2's, for example:

    https://discover.familytreedna.com/y...-L2/scientific
    pity it is not a straight count
    frequency is erred due to pop numbers , which differ too much

    as example ...............Portugal and Italy both have 4% of T ...............pop numbers clearly indicate that Italy has a majority ............an example why frequency is so so
    Fathers mtdna ...... T2b17
    Grandfather paternal mtdna ... T1a1e
    Sons mtdna ...... K1a4p
    Mothers line ..... R1b-S8172
    Grandmother paternal side ... I1-CTS6397
    Wife paternal line ..... R1a-PF6155

  5. #5

  6. #6

  7. #7
    Regular Member Regio X's Avatar
    Join Date
    12-03-14
    Posts
    1,102


    Country: Italy



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