How many do you have in total, so percentage wise how are lineages represented? Would be interesting to see how they compare to averages in the British Isles.
Quote:
Y-DNA
51 - E1b1b1a2*
47 - I2a2b
39 - R1a1a
25 - I1*
24 - J2
MtDNA
75 - H
50 - H1
21 - T2b
20 - H7
18 - J1c
Ironically neither my paternal or maternal line are among my top 5 matches.
Use google docs. Follow the instructions linked here, it doesn't take long at all.
Dude no. Dowload the file - upload to google docs - click on it - data - pivot table report - rows - add field - maternal haplogroup - uncheck show totals - values - add field - maternal haplogroup - summarize by countA
Repeat with Paternal haplogroup.
Seriously it's way easy.
MtDNA
H 64
H1 62
T2b 33
V 31
H3 25
Y-DNA
R1b1b2a1a2f* 106
R1b1b2a1a 53
I1* 35
R1b1b2a1a1* 34
R1b1b2a1a1 24
Update:
YDNA:
1 R1a1a 49
2 E1b1ba2 43
3 I2a2b 22
4 I1 21
5 J2 15
mtDNA
1 H 62
2 H1 20
3 H7 15
J1c 15
4 T2b 14
H1c 14
5 H6a1 13
Update!
mtDNA
H - 78
H1 - 39
J1c - 23
T1a1 - 13
H7 - 12
U5a1a1 - 11
H1c - 10
Y-DNA
E1b1b1a2*(E-V13) - 75
I2a2b - 44
R1a1a - 42
R1b1b2a - 23
J2b2* - 20
R1b1b2a1a2f* - 18
I1 - 18
Mine:
mtDNA:
H- 74
H1- 69
T2b- 43
H3- 35
T1a1- 16
H7- 16
V- 16
y-DNA:
R1b1b2a1a2f*- 94
R1b1b2a1a- 59
Il*- 47
R1b1b2a1a2f2- 23
R1b1b2a1a1- 21
R1b1b2a1a1*- 21
Il- 19
Self:
mtDNA (L2a1l2a1) top five:
K1a1b1a - 115
H - 52
H1 - 32
H7 - 31
J1c - 30
Y-DNA (J2) top five:
J1e [J-P58] - 75
R1a1a - 37
E1b1b1c1 - 34
T, R2 - 33
Grandmother:
mtDNA (L2a1l2a1) top five:
K1a1b1a - 185
N1b2 - 54
H - 46
K2a2a, H1 - 40
Y-DNA top five:
J1e -76
R1a1a - 37
E1b1b1c1 - 36
J2 - 33
E1b1b1c1a - 31
Grandfather:
mtDNA (H10a1a) top five:
-Still waiting for list-
Y-DNA (I2b1* / I2a2a*) top five:
-Still waiting for list-
Grandfather:
mtDNA (H10a1a) top five:
H1 - 49
H - 42
T2b - 30
H3 - 25
H7 - 23
Y-DNA (I2b1* / I2a2a*) top five:
R1b1b2a1a2f* - 68
I1* - 51
I1, R1b1b2a1a - 44
R1a1a - 43
Wasn't there a method to organizing these into order quickly and easily? Been a while since I've done it and google docs layout seems to have changed, anyone able to give me some advice on what to do?
I just downloaded the csv. file, opened it in Excel and sorted the paternal and maternal haplogroup columns by alphabetic order. Then, if you mark enough cells a small number pops up next to your coursor with the count. It was pretty easy to spot which halpogroups had the most instances since there is usually a vast variation in numbers.
There should be a way to automatize pretty haplogroup diagrams out of the csv file. Excel vet requested at reception.
how do you do that?
bump - how do you see the ydna and mtdna of relatives?
Oh I see now
UPDATE: (I counted it wrong :D)
Y-DNA:
1. I2a2b
2. E-V13
3. R1a1a
4. R1b-U106
5. R1b-L21, I1
mt-DNA:
1. H
2. J1
3. U5
4. HV
5. K1
UK 420 38.7% K 362 33.4% K1a 301 27.7% K1a1b 222 20.5% K1a1b1 220 27.7% K1a1b1a 219 20.2% K1a1b1 1 0.1% K1a1b 1 0.1% K1a9 53 4.9% K1a* 18 1.7% K1a4 7 0.6% K1a4a 6 0.6% K1a4a* 5 0.5% K1a4a1 1 0.1% K1a4* 1 0.1% K1a7'8 1 0.1% K2 61 5.6% K2a 60 5.5% K2a2a 55 5.2% K2a* 5 0.5% K2b 1 0.1% H 321 29.6% H1 80 7.4% H1* 41 3.8% H1e 26 2.4% H1b 5 0.5% H1o 4 0.4% H1f 2 0.2% H1a 1 0.1% H1c1 1 0.1% H* 61 5.6% HV 55 5.1% HV1 39 3.6% HV1b2 37 3.4% HV1* 2 0.2% HV5 15 1.4% HV* 1 0.1% H7 38 3.5% H7* 37 3.4% H7a 1 0.1% H5 24 2.2% H5a 15 1.4% H5a* 13 1.2% H5a1 2 0.2% H5'36 6 0.6% H5* 3 0.3% H6a1 20 1.8% H6a1* 13 1.2% H6a1a1a 4 0.4% H6a1b 3 0.3% H6a1b* 2 0.2% H6a1b2 1 0.1% H3 15 1.4% H3* 14 1.3% H3g 1 0.1% H11 9 0.8% H11* 5 0.5% H11a 4 0.4% H10 5 0.5% H10a1 4 0.4% H10* 1 0.1% H2a 4 0.4% H2a1 2 0.2% H2a2b1 2 0.2% H4a1 4 0.4% H4a1* 3 0.3% H4a1b 1 0.1% H15 2 0.2% H15* 1 0.1% H15b 1 0.1% H13a1a1a 1 0.1% H24 1 0.1% H26 1 0.1% H39 1 0.1% N 87 8.0% N1b 80 7.4% N1b2 76 7.0% N1b1 4 0.4% N1b1b 3 0.3% N1b1* 1 0.1% N9a3 7 0.6% J 79 7.3% J1 76 7.0% J1c 63 5.8% J1c* 24 2.2% J1c7 20 1.8% J1c7a 19 1.7% J1c7* 1 0.1% J1c1 15 1.4% J1c3 3 0.3% J1c5 1 0.1% J1b1a 13 1.2% J2 3 0.3% J2b1 2 0.2% J2a1a 1 0.1% U 58 5.4% U5 27 2.5% U5a 20 1.8% U5a2 13 1.2% U5a2b 12 1.1% U5a2c 1 0.1% U5a1 7 0.6% U5a1a 4 0.4% U5a1b1 3 0.3% U7 11 1.0% U2e1a 6 0.6% U2a1 5 0.5% U1b 4 0.4% U6 4 0.4% U6a7 3 0.3% U6b1 1 0.1% U4b1b 1 0.1% T 50 4.6% T2 28 2.6% T2b 18 1.6% T2b* 16 1.5% T2b3 1 0.1% T2b4 1 0.1% T2g 4 0.4% T2e 3 0.3% T2a 2 0.2% T2c1 1 0.1% T1 22 2.0% T1a 16 1.5% T1a1 13 1.2% T1a* 2 0.2% T1a3 1 0.1% T1* 6 0.6% W 30 2.8% W3 21 1.9% W3a 11 1.0% W3* 10 0.9% W1 8 0.7% W* 1 0.1% V 25 2.3% V7 23 2.1% V7a 18 1.6% V7* 5 0.5% V1 4 0.4% V1a 3 0.3% V1* 1 0.1% R 22 2.0% R0a 21 1.9% R0a* 12 1.1% R0a2 9 0.8% R 1 0.1% L 12 1.1% L2a1 12 1.1% L2a1* 8 0.7% L2a1I 4 0.4% L2a1I* 3 0.3% L2a1I2 1 0.1% M 12 1.1% M33c 7 0.6% M1a 5 0.5% M1a1b 4 0.4% M1a* 1 0.1% I 11 1.0% I1 10 0.9% I1* 9 0.9% I1a1 1 0.1% I* 1 0.1% X 9 0.8% X2b 7 0.6% X2c1 1 0.1% X2e 1 0.1% B 2 0.2% B2 2 0.2% B2d 1 0.1% A 2 0.2% A2 1 0.1% A4 1 0.1% C 1 0.1% C1 1 0.1% D 1 0.1% D1 1 0.1%
J 213 32.2% J2 109 16.5% J2a 50 7.6% J2a1b 48 7.3% J2a1b* 28 4.2% J2a1b1 20 3.0% J2a1 1 0.2% J2a1h3 1 0.2% J2 35 5.3% J2b 24 3.6% J2b2 15 2.3% J2b* 9 1.4% J1 104 15.7% J1e 96 14.5% J1* 8 1.2% R 158 23.9% R1 149 22.5% R1b 76 11.5% R1b1b 75 11.3% R1b1b2a1a1d1 26 3.9% R1b1b2 20 3.0% R1b1b2a1a1d 15 2.3% R1b1b2a 13 2.0% R1b1b2a1a 10 1.5% R1b1b2a1a1f 4 0.6% R1b1b2a1a1 2 0.3% R1b1b2a1a1d 2 0.3% R1b1b2a1a2 2 0.3% R1b1b2a1a1f2 1 0.2% R1b1* 1 0.2% R1a1a 70 10.6% R1* 3 0.5% R2 9 1.4% E 146 22.0% E1 145 21.9% E1b1 140 21.1% E1b1b 138 20.8% E1b1b1 137 20.7% E1b1b1c 76 11.5% E1b1b1c1 64 9.7% E1b1b1c1* 43 6.5% E1b1b1c1a 21 3.2% E1b1b1c* 12 1.8% E1b1b1a 73 11.0% E1b1b1a* 54 8.1% E1b1b1a2 16 2.4% E1b1b1a4 3 0.5% E1b1b1* 33 5.0% E1b1a 2 0.3% E1b1a8a 1 0.2 E1b1a8a1 1 E1a1 5 0.8% E2 1 0.2% G 67 10.1% G2 55 8.3% G2c 37 5.6% G2a 15 2.3% G2a* 9 1.4% G2a4 4 0.6% G2a2 1 0.2% G2a5 1 0.2% G2* 3 0.5% G1 12 1.8% Q 30 4.5% Q1b 30 4.5% T 9 4.1% T* 9 4.1% I 19 2.9% I2 18 2.7% I2a 10 1.5% I2a2 5 0.8% I2a2b 4 0.6% I2a2 1 0.2% I2a1 4 0.6% I2a* 1 0.2% I2b1 7 1.1% I2* 1 0.2% I1 1 0.2% N 2 0.3% N1c1 2 0.3%
New update
YDNA:
R1a1a 76
E1b1b1a2 51
I1 33
J2 24
I2a2b 22
MtDNA:
H 80
H1 30
T2b 26
H1c 21
J1c 20