Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.5837 | | 521 |
|
2 | A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
3 | A*02:11:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
4 | A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
5 | A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India East UCBB | 0.2195 | | 2,403 |
|
6 | A*30:04:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
7 | A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.1757 | | 11,446 |
|
8 | A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India Northeast UCBB | 0.1689 | | 296 |
|
9 | A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | Italy pop 5 | 0.1400 | | 975 |
|
10 | A*02:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India North UCBB | 0.1046 | | 5,849 |
|
11 | A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India North UCBB | 0.0831 | | 5,849 |
|
12 | A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India Central UCBB | 0.0784 | | 4,204 |
|
13 | A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India North UCBB | 0.0748 | | 5,849 |
|
14 | A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India West UCBB | 0.0705 | | 5,829 |
|
15 | A*02:01:01:01-B*35:03:01-C*12:03:01:01-DRB1*14:54-DQB1*05:03:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
16 | A*01:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India East UCBB | 0.0656 | | 2,403 |
|
17 | A*24:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India West UCBB | 0.0573 | | 5,829 |
|
18 | A*02:01:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01 | | Poland BMR | 0.0550 | | 23,595 |
|
19 | A*33:03-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India Central UCBB | 0.0514 | | 4,204 |
|
20 | A*01:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0502 | | 11,446 |
|
21 | A*02:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India West UCBB | 0.0362 | | 5,829 |
|
22 | A*32:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India Central UCBB | 0.0356 | | 4,204 |
|
23 | A*02:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India Central UCBB | 0.0347 | | 4,204 |
|
24 | A*33:03-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India West UCBB | 0.0343 | | 5,829 |
|
25 | A*25:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0340 | | 4,335 |
|
26 | A*68:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India East UCBB | 0.0333 | | 2,403 |
|
27 | A*03:01:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01 | | Poland BMR | 0.0328 | | 23,595 |
|
28 | A*01:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India Central UCBB | 0.0318 | | 4,204 |
|
29 | A*03:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India East UCBB | 0.0298 | | 2,403 |
|
30 | A*03:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India North UCBB | 0.0290 | | 5,849 |
|
31 | A*33:03-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India North UCBB | 0.0272 | | 5,849 |
|
32 | A*31:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0265 | | 11,446 |
|
33 | A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0254 | | 11,446 |
|
34 | A*03:02-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India Central UCBB | 0.0238 | | 4,204 |
|
35 | A*66:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India Central UCBB | 0.0238 | | 4,204 |
|
36 | A*02:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India East UCBB | 0.0208 | | 2,403 |
|
37 | A*24:02:01-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01 | | Poland BMR | 0.0196 | | 23,595 |
|
38 | A*01:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India North UCBB | 0.0187 | | 5,849 |
|
39 | A*03:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India Central UCBB | 0.0183 | | 4,204 |
|
40 | A*02:11-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0165 | | 11,446 |
|
41 | A*68:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0157 | | 11,446 |
|
42 | A*02:11-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India Central UCBB | 0.0131 | | 4,204 |
|
43 | A*11:03-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India Central UCBB | 0.0119 | | 4,204 |
|
44 | A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India Central UCBB | 0.0110 | | 4,204 |
|
45 | A*26:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India West UCBB | 0.0109 | | 5,829 |
|
46 | A*31:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India West UCBB | 0.0103 | | 5,829 |
|
47 | A*33:03-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0095 | | 11,446 |
|
48 | A*68:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India North UCBB | 0.0094 | | 5,849 |
|
49 | A*02:06-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India North UCBB | 0.0093 | | 5,849 |
|
50 | A*24:11N-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0087 | | 11,446 |
|
51 | A*26:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0087 | | 11,446 |
|
52 | A*23:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India North UCBB | 0.0085 | | 5,849 |
|
53 | A*03:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India West UCBB | 0.0082 | | 5,829 |
|
54 | A*02:20-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India North UCBB | 0.0080 | | 5,849 |
|
55 | A*26:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India North UCBB | 0.0079 | | 5,849 |
|
56 | A*68:01:02-B*35:03:01-C*12:03:01-DRB1*14:54:01-DQB1*05:03:01 | | Poland BMR | 0.0064 | | 23,595 |
|
57 | A*11:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India East UCBB | 0.0056 | | 2,403 |
|
58 | A*02:06-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0044 | | 11,446 |
|
59 | A*66:01-B*35:03-C*12:03-DRB1*14:54-DQB1*05:03 | | India South UCBB | 0.0044 | | 11,446 |
|
* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).