mtDNA H & HV Project – Weekly Update 5 July 2018

Hello,

This is Rebekah Canada with the mtDNA H & HV Haplogroup project. I am going to keep things short this week, because I think the one topic I am covering is really important for us to understand. I am looking at the country of origin data for the project. This shows one of the limitations of the project and the FamilyTreeDNA (FTDNA) matching database.

Project Status

Today, there are:
Total Members 12,059
mtDNA Tested Members 11,615
mtDNA Full Sequence (mtGenome) Tested Members 7,071

Branding vs Scientific Terminology

Branding is how a company labels a product. Genetic terminology is how scientists labels things. When we talk about mtDNA, we have both.

Mitochondrial DNA is shortened to mtDNA. Humans (male and female) get their mtDNA from their mothers. MtDNA has three parts. They are HVR1, HVR2, and the coding region. The three together are the mitochondrial genome. Mitochondrial genome is shortened to mtGenome. It is called that in over 500 peer-reviewed scientific articles. This is how scientists labels them.

In the next section, we will look at testing levels by country at FTDNA and in the project. Thus, we need to know how FTDNA brands different parts of mtDNA as part of their products. This has changed over the years. It is also inconsistent across their website. These are the most common product labels I see used though.

Branded Product Name What is tested (Science)
mtDNA HVR1
mtDNA Plus HVR1 & HVR2
mtDNA Full Sequence or FMS HVR1, HVR2, and Coding Region (the mtGenome)

Country Origins

The data for this comes from the mtDNA Results report in the FTDNA admin dashboard (the GAP). The fields include kit number, name, earliest known ancestor, country of origin, and the mtDNA results. I marked each person yes or no for a product based on their having mtDNA results in the HVR1, HVR2, and Coding region columns. I did subtotals by country for those. I then looked at the percentage by country and overall.

I did not try to sort out the New World countries where H & HV came from Europe.

This is where it shows that more people who are from Northwestern Europe including the British Isles, Norway, Sweden, and Finland have mtDNA tested than elsewhere. The project having 153 people with a maternal line from Spain but 735 people with a lineage from Ireland is not because H & HV are more common in Ireland than Spain. It is because more people from Ireland or from the USA with Irish heritage have taken mtDNA tests.

Why is this important to you the genealogist? Well, when we look at who you match for genealogy, we ask what are the odds of a random spurious match? It is important to know how well samples the place where your maternal ancestors lived is before calling your results common or uncommon.

Country (Earliest Known Ancestor) mtDNA mtDNA Plus mtDNA Full Sequence / FMS % mtDNA % mtDNA Plus % mtDNA Full Sequence / FMS
Afghanistan 2 2 2 0 0 100
Albania 2 2 2 0 0 100
Algeria 8 6 4 25 25 50
Armenia 20 17 14 15 15 70
Australia 5 5 4 0 20 80
Austria 65 50 37 23.08 20 56.92
Azerbaijan 5 4 4 20 0 80
Bahamas 2 2 2 0 0 100
Belarus 49 41 31 16.33 20.41 63.27
Belgium 27 16 13 40.74 11.11 48.15
Bosnia and Herzegovina 7 5 3 28.57 28.57 42.86
Brazil 6 5 4 16.67 16.67 66.67
British Virgin Islands 1 1 1 0 0 100
Bulgaria 61 48 37 21.31 18.03 60.66
Canada 83 72 67 13.25 6.02 80.72
Cape Verde 1 1 1 0 0 100
Cayman Islands 1 1 1 0 0 100
Chile 1 1 1 0 0 100
China 1 1 1 0 0 100
Costa Rica 1 1 0 100 0
Croatia 34 24 15 29.41 26.47 44.12
Cuba 1 1 1 0 0 100
Cyprus 7 4 3 42.86 14.29 42.86
Czech Republic 76 59 44 22.37 19.74 57.89
Denmark 112 86 72 23.21 12.5 64.29
Dominican Republic 1 0 100 0 0
Ecuador 1 1 1 0 0 100
Egypt 4 4 3 0 25 75
England 1029 832 619 19.14 20.7 60.16
Estonia 13 12 10 7.69 15.38 76.92
Ethiopia 3 1 1 66.67 0 33.33
Faroe Islands 1 1 1 0 0 100
Finland 579 539 484 6.91 9.5 83.59
France 316 244 184 22.78 18.99 58.23
Georgia 6 6 5 0 16.67 83.33
Germany 932 722 527 22.53 20.92 56.55
Greece 43 28 19 34.88 20.93 44.19
Honduras 2 2 1 0 50 50
Hungary 113 95 72 15.93 20.35 63.72
Iceland 7 6 5 14.29 14.29 71.43
India 11 6 5 45.45 9.09 45.45
Iran 22 22 18 0 18.18 81.82
Iraq 4 4 4 0 0 100
Ireland 735 565 431 23.13 18.23 58.64
Israel 3 1 1 66.67 0 33.33
Italy 289 214 163 25.95 17.65 56.4
Kazakhstan 4 4 4 0 0 100
Kuwait 1 1 1 0 0 100
Latvia 19 10 6 47.37 21.05 31.58
Lebanon 15 8 6 46.67 13.33 40
Lithuania 97 76 55 21.65 21.65 56.7
Luxembourg 6 4 3 33.33 16.67 50
Macedonia 5 4 2 20 40 40
Malta 6 4 1 33.33 50 16.67
Mexico 10 8 7 20 10 70
Moldova 17 11 10 35.29 5.88 58.82
Montenegro 3 3 2 0 33.33 66.67
Morocco 8 6 2 25 50 25
Netherlands 136 101 72 25.74 21.32 52.94
New Zealand 1 1 1 0 0 100
Northern Ireland 40 37 31 7.5 15 77.5
Norway 334 281 226 15.87 16.47 67.66
Pakistan 5 4 3 20 20 60
Palestinian Territory 1 1 0 100 0
Poland 373 300 215 19.57 22.79 57.64
Portugal 64 41 27 35.94 21.88 42.19
Puerto Rico 3 3 1 0 66.67 33.33
Qatar 1 1 0 100 0
Romania 44 36 27 18.18 20.45 61.36
Russian Federation 230 188 145 18.26 18.7 63.04
Saudi Arabia 6 6 6 0 0 100
Scotland 333 260 191 21.92 20.72 57.36
Serbia 18 15 12 16.67 16.67 66.67
Slovakia 54 44 32 18.52 22.22 59.26
Slovenia 19 13 9 31.58 21.05 47.37
South Africa 4 3 3 25 0 75
Spain 153 119 77 22.22 27.45 50.33
Sri Lanka 1 1 0 100 0
Sweden 604 548 489 9.27 9.77 80.96
Switzerland 87 63 42 27.59 24.14 48.28
Syrian Arab Republic 5 5 5 0 0 100
Taiwan, Province of China 1 0 100 0 0
Tunisia 2 2 1 0 50 50
Turkey 98 89 74 9.18 15.31 75.51
Ukraine 147 124 76 15.65 32.65 51.7
United Kingdom 534 364 252 31.84 20.97 47.19
United States 529 505 453 4.54 9.83 85.63
United States (Native American) 35 30 27 14.29 8.57 77.14
Unknown Origin 2725 2132 1432 21.76 25.69 52.55
Wales 81 62 43 23.46 23.46 53.09
Total 11551 9278 6989 19.68 19.82 60.51

Kind regards,
Rebekah A. Canada
Volunteer Administrator FamilyTreeDNA

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