Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | DQA1*01:03-DQB1*06:03 | | Ecuador African | 10.3000 | | 58 |
|
2 | DQA1*01:03-DQB1*06:03 | | Israel Moroccan Jews | 8.7000 | | 113 |
|
3 | DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14 | | Russia Siberia Khanty Mansi | 8.1000 | | 68 |
|
4 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Italy pop 2 | 7.6000 | | 53 |
|
5 | DQA1*01:03-DQB1*06:03 | | Israel Libyan Jews | 7.4000 | | 119 |
|
6 | DRB1*13-DQA1*01:03-DQB1*06:03 | | Czech Republic pop 3 | 6.9000 | | 180 |
|
7 | DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14 | | Russia Tuva Todja | 6.8000 | | 22 |
|
8 | DRB1*13-DQA1*01:03-DQB1*06:03 | | Croatia Gorski Kotar Region | 6.8000 | | 63 |
|
9 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Spain Las Alpujarras | 6.4700 | | 85 |
|
10 | DQA1*01:03-DQB1*06:03 | | Israel Yemenite Jews | 6.1000 | | 76 |
|
11 | DQA1*01:03-DQB1*06:03 | | Israel Ashkenazi Jews pop 2 | 5.8000 | | 132 |
|
12 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | USA European American | 5.5600 | | 1,899 |
|
13 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Russia Northwest Slavic | 5.5000 | | 200 |
|
14 | DQA1*01:03-DQB1*06:03 | | Russia Tuva pop 2 | 5.3000 | | 169 |
|
15 | DQA1*01:03-DQB1*06:03 | | China, Xinjiang Uyghur Autonomous Region Hui | 5.0000 | | 40 |
|
16 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Equatorial Guinea Bioko Island Bubi | 5.0000 | | 100 |
|
17 | DQA1*01:03-DQB1*06:03 | | China, Xinjiang Uyghur Autonomous Region Uyghur | 4.9300 | | 71 |
|
18 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | China Urumqi Kazak | 4.8000 | | 42 |
|
19 | DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14 | | Russia Tuva pop3 | 4.5000 | | 44 |
|
20 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | USA San Francisco Caucasian | 4.3000 | | 220 |
|
21 | DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14 | | Russia Siberia Negidal | 4.3000 | | 35 |
|
22 | DQA1*01:03-DQB1*06:03 | | Tunisia | 4.1000 | | 100 |
|
23 | DQA1*01:03-DQB1*06:03 | | France Ceph | 4.0000 | | 124 |
|
24 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Turkey pop 1 | 3.8000 | | 250 |
|
25 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Greece pop3 | 3.7000 | | 246 |
|
26 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | India Uttar Pradesh | 3.5000 | | 202 |
|
27 | DQA1*01:03-DQB1*06:03 | | India Bombay | 3.4000 | | 59 |
|
28 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | China Urumqi Uyghur | 3.4000 | | 57 |
|
29 | DQA1*01:03-DQB1*06:03 | | Israel Arab | 3.3000 | | 109 |
|
30 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Algeria pop 2 | 3.3000 | | 106 |
|
31 | DQA1*01:03-DQB1*06:03 | | Uganda Baganda | 3.2000 | | 47 |
|
32 | DQA1*01:03-DQB1*06:03 | | China, Xinjiang Uyghur Autonomous Region Kazakh | 2.8800 | | 52 |
|
33 | DQA1*01:03-DQB1*06:03 | | China, Xinjiang Uyghur Autonomous Region Han | 2.8600 | | 70 |
|
34 | DQA1*01:03-DQB1*06:03 | | Gambia | 2.7000 | | 146 |
|
35 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | India Northeast Kayastha | 2.6000 | | 190 |
|
36 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | China Urumqi Han | 2.5000 | | 59 |
|
37 | DQA1*01:03-DQB1*06:03 | | Israel Iranian Jews | 2.4000 | | 101 |
|
38 | A*02:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Brazil Puyanawa | 2.3333 | | 150 |
|
39 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Italy Sardinia Tempio | 2.2000 | | 91 |
|
40 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | India Northeast Rastogi | 2.1000 | | 196 |
|
41 | DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14 | | Russia Siberia Dudinka Nganasan | 2.1000 | | 24 |
|
42 | A*02:01-B*40:02-C*02:02-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Brazil Puyanawa | 2.0000 | | 150 |
|
43 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Cameroon Yaounde | 2.0000 | | 92 |
|
44 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | England pop 6 | 2.0000 | | 177 |
|
45 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Tunisia | 2.0000 | | 100 |
|
46 | DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14 | | Russia Siberia Khabarovsk Evenki | 2.0000 | | 25 |
|
47 | DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01 | | South Korea pop 11 | 2.0000 | | 149 |
|
48 | A*02-B*44-DRB1*13-DQA1*01:03-DQB1*06:03 | | Georgia Svaneti Region Svan | 1.9000 | | 80 |
|
49 | A*26-B*38-DRB1*13:01-DRB3*02:02-DQA1*01:03-DQB1*06:03 | | Spain Murcia | 1.9000 | | 173 |
|
50 | A*26-B*38-DRB1*13-DQA1*01:03-DQB1*06:03 | | Georgia Svaneti Region Svan | 1.9000 | | 80 |
|
51 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | India Northeast Shia | 1.8000 | | 190 |
|
52 | A*26:01-B*38:01-C*12:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 1.7544 | | 130 |
|
53 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Mexico Highlands Mestizos | 1.6000 | | 160 |
|
54 | A*02:01-B*45:01-C*16:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01 | | Kenya, Nyanza Province, Luo tribe | 1.5000 | | 100 |
|
55 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Ethiopia Amhara | 1.5000 | | 98 |
|
56 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Australia New South Wales Aborigine | 1.4000 | | 177 |
|
57 | DRB1*14:03-DQA1*01:03-DQB1*06:03 | | Russia Siberia Polygus Evenk | 1.4000 | | 35 |
|
58 | A*25-B*18-DRB1*13-DQA1*01:03-DQB1*06:03 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 1.3400 | | 112 |
|
59 | A*02-B*08-DRB1*13-DQA1*01:03-DQB1*06:03 | | Georgia Svaneti Region Svan | 1.3000 | | 80 |
|
60 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | India Northeast Mathur | 1.3000 | | 155 |
|
61 | DRB1*13:01-DRB3*02:02-DQA1*01:03-DQB1*06:03-DPB1*04:01 | | USA San Francisco Caucasian | 1.3000 | | 220 |
|
62 | DRB1*13:01-DRB3*02:02-DQA1*01:03-DQB1*06:03-DPB1*04:01 | | USA San Francisco Caucasian | 1.3000 | | 220 |
|
63 | A*03:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Kosovo | 1.2100 | | 124 |
|
64 | DQA1*01:03-DQB1*06:03 | | Japan Fukuoka | 1.2000 | | 86 |
|
65 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | India Northeast Sunni | 1.2000 | | 188 |
|
66 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Ethiopia Oromo | 1.2000 | | 83 |
|
67 | DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14 | | Russia Siberia Irkutsk Tofalar | 1.2000 | | 43 |
|
68 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Italy Sardinia Oristano | 1.1000 | | 91 |
|
69 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Italy Sardinia Sorgono | 1.1000 | | 93 |
|
70 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Italy Sardinia Sassari | 1.1000 | | 91 |
|
71 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | South Korea pop 1 | 1.1000 | | 324 |
|
72 | A*02:01-B*45:01-C*16:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01 | | South Africa Worcester | 1.0000 | | 159 |
|
73 | DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Morocco Souss Region | 1.0000 | | 98 |
|
74 | A*24:02-B*44:03-C*07:06-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | United Arab Emirates Abu Dhabi | 0.9600 | | 52 |
|
75 | A*03-B*07-DRB1*13-DQA1*01:03-DQB1*06:03 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.8900 | | 112 |
|
76 | A*02:01-B*44:02-C*05:01-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.8772 | | 130 |
|
77 | A*24:02-B*39:01-C*12:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.8772 | | 130 |
|
78 | A*02-B*51-DRB1*13-DQA1*01:03-DQB1*06:03 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.8600 | | 112 |
|
79 | A*01:01-B*08:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Kosovo | 0.8060 | | 124 |
|
80 | A*02:01-B*15:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Kosovo | 0.8060 | | 124 |
|
81 | A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.6536 | | 153 |
|
82 | A*25:01:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:01 | | Russia Belgorod region | 0.6536 | | 153 |
|
83 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*02:01 | | Russia Belgorod region | 0.6536 | | 153 |
|
84 | A*32:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02 | | South Africa Worcester | 0.6000 | | 159 |
|
85 | A*34:02-B*44:03-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02 | | South Africa Worcester | 0.6000 | | 159 |
|
86 | A*02:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01 | | USA San Diego | 0.5210 | | 496 |
|
87 | A*03-B*44-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Brazil Paraná Caucasian | 0.4680 | | 641 |
|
88 | A*24-B*35-DRB1*13-DQA1*01:03-DQB1*06:03 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.4400 | | 112 |
|
89 | A*26-B*27-DRB1*13-DQA1*01:03-DQB1*06:03 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.4400 | | 112 |
|
90 | A*33-B*51-DRB1*13-DQA1*01:03-DQB1*06:03 | | Russia, South Ural, Chelyabinsk region, Nagaybaks | 0.4400 | | 112 |
|
91 | A*02:01-B*44:02-C*05:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
92 | A*02:01-B*51:01-C*15:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*09:01:02-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
93 | A*11:01-B*07:02-C*07:02-E*01:01:01-F*01:01:02-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
94 | A*11:01-B*35:27-C*12:03-E*01:01:01-F*01:01:02-G*01:01-DRB1*04:07-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
95 | A*11:01-B*38:01-C*06:02-E*01:03:02-F*01:01:02-G*01:01-DRB1*07:01-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
96 | A*24:02-B*15:18-C*07:04-E*01:03:02-F*01:01:01-G*01:04-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
97 | A*24:17-B*27:05-C*02:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*04:04-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
98 | A*26:01-B*38:06-C*12:03-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
99 | A*26:02-B*38:06-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
100 | A*30:01-B*35:27-C*04:01-E*01:03:01-F*01:01:01-G*01:05N-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Portugal Azores Terceira Island | 0.4386 | | 130 |
|
* 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).