Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
1 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Jalisco, Tlajomulco | 3.3333 | | 30 |
|
2 | A*24-B*38-C*12-DRB1*13-DQB1*06 | | Spain Majorcans Jews | 2.6000 | | 103 |
|
3 | A*02:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Brazil Puyanawa | 2.3333 | | 150 |
|
4 | A*24:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03 | | Colombia North Chimila Amerindians | 2.1277 | | 47 |
|
5 | A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03 | | Colombia North Wiwa El Encanto | 1.9231 | | 52 |
|
6 | A*26-B*38-DRB1*13-DQB1*06 | | Mexico Mexico City South | 1.9231 | | 52 |
|
7 | A*26-B*38-DRB1*13:01-DRB3*02:02-DQA1*01:03-DQB1*06:03 | | Spain Murcia | 1.9000 | | 173 |
|
8 | A*26-B*38-DRB1*13-DQA1*01:03-DQB1*06:03 | | Georgia Svaneti Region Svan | 1.9000 | | 80 |
|
9 | A*26:01-B*38:01-DRB1*13:01-DQB1*06:02 | | Iran Yazd | 1.7857 | | 56 |
|
10 | 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 |
|
11 | A*26-B*38-C*12-DRB1*13-DQB1*06 | | Spain Majorcans Jews | 1.7000 | | 103 |
|
12 | A*26-B*38-C*12-DRB1*13-DQB1*06 | | Spain Minorca | 1.6000 | | 94 |
|
13 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Jalisco, Tlaquepaque | 1.2821 | | 39 |
|
14 | A*26-B*38-C*12-DRB1*13-DQB1*06 | | Albanian Kosovo | 1.2500 | | 120 |
|
15 | A*03-B*38-DRB1*13-DQB1*06 | | Mexico Hidalgo, Pachuca | 1.2195 | | 41 |
|
16 | A*03:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Kosovo | 1.2100 | | 124 |
|
17 | A*26-B*38-DRB1*13:02-DQB1*06:04 | | Spain North Cantabria | 1.2000 | | 83 |
|
18 | A*26-B*38-DRB1*13-DQB1*06:02 | | Cuba Mixed | 1.2000 | | 78 |
|
19 | A*11-B*38-C*12:03-DRB1*13-DQB1*06 | | Russia North Ossetian | 1.1800 | | 127 |
|
20 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Queretaro, Queretaro city | 1.1111 | | 45 |
|
21 | A*11-B*38-DRB1*13-DQB1*06 | | Mexico Aguascalientes state | 1.0526 | | 95 |
|
22 | A*68-B*38-DRB1*13-DQB1*06 | | Mexico Quintana Roo, Cancun | 1.0417 | | 48 |
|
23 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Sinaloa, Culiacán | 0.9709 | | 103 |
|
24 | A*26-B*38-DRB1*13-DQB1*06 | | Mexico Sinaloa, Culiacán | 0.9709 | | 103 |
|
25 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Mexico City South | 0.9615 | | 52 |
|
26 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Chihuahua, Ciudad Juarez | 0.9259 | | 106 |
|
27 | A*29-B*38-DRB1*13-DQB1*06 | | Mexico Veracruz, Cordoba | 0.8929 | | 56 |
|
28 | A*26:01-B*38:01-DRB1*13:01-DQB1*06:02 | | Iran Saqqez-Baneh Kurds | 0.8333 | | 60 |
|
29 | A*26-B*38-DRB1*13-DQB1*06 | | Mexico Tamaulipas Rural | 0.7937 | | 125 |
|
30 | A*26-B*38-DRB1*13-DQB1*06 | | Mexico Sonora Rural | 0.7614 | | 197 |
|
31 | A*03-B*38-DRB1*13:01-DQB1*06:07 | | Bolivia Quechua | 0.7200 | | 69 |
|
32 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.7000 | | 215 |
|
33 | A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.6840 | | 4,335 |
|
34 | A*24-B*38-DRB1*13-DQB1*06 | | Mexico Baja California, La Paz | 0.6667 | | 75 |
|
35 | A*26-B*38-DRB1*13-DQB1*06 | | Mexico Baja California, La Paz | 0.6667 | | 75 |
|
36 | 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 |
|
37 | A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.6423 | | 23,595 |
|
38 | A*03-B*38-DRB1*13-DQB1*06 | | Mexico Mexico City East | 0.6250 | | 79 |
|
39 | A*03-B*38-DRB1*13-DQB1*06 | | Mexico Hidalgo Rural | 0.6173 | | 81 |
|
40 | A*26-B*38-DRB1*13-DQB1*06 | | Mexico Jalisco, Zapopan | 0.5952 | | 168 |
|
41 | A*26-B*38-DRB1*13-DQB1*06 | | Mexico Zacatecas, Zacatecas city | 0.5952 | | 84 |
|
42 | A*29-B*38-DRB1*13-DQB1*06 | | Mexico Zacatecas, Zacatecas city | 0.5952 | | 84 |
|
43 | A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03 | | Italy pop 5 | 0.5900 | | 975 |
|
44 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
45 | A*33:01-B*38:01-DRB1*13:01-DQB1*06:02 | | Iran Tabriz Azeris | 0.5155 | | 97 |
|
46 | A*02-B*38-C*06-DRB1*13-DQB1*06 | | Sudan Khartoum | 0.5100 | | 98 |
|
47 | A*24-B*38-C*06-DRB1*13-DQB1*06 | | Sudan Khartoum | 0.5100 | | 98 |
|
48 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Sonora Rural | 0.5076 | | 197 |
|
49 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Sonora, Hermosillo | 0.5051 | | 99 |
|
50 | A*03-B*38-DRB1*13-DQB1*06 | | Mexico Baja Californa, Mexicali | 0.5000 | | 100 |
|
51 | A*26:01:01-B*38:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01 | | Vietnam Kinh | 0.4950 | | 101 |
|
52 | A*26:01-B*38:01-DRB1*13:01-DQB1*06:03 | | Peru Titikaka Lake Uros | 0.4800 | | 105 |
|
53 | 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 |
|
54 | 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 |
|
55 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Michoacan Rural | 0.4298 | | 348 |
|
56 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.4244 | | 23,595 |
|
57 | A*26-B*38-DRB1*13-DQB1*06 | | Mexico Chihuahua Rural | 0.4184 | | 236 |
|
58 | A*02:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:04 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
59 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Chiapas Rural | 0.4132 | | 121 |
|
60 | A*02:01-B*38:01-C*12:03-DRB1*13:02-DQA1*01:02-DQB1*06:04 | | Kosovo | 0.4030 | | 124 |
|
61 | A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03 | | Germany DKMS - Turkey minority | 0.3980 | | 4,856 |
|
62 | A*01-B*38-DRB1*13-DQB1*06 | | Guatemala, Guatemala City Mixed Ancestry | 0.3900 | | 127 |
|
63 | A*26-B*38-C*03:03-DRB1*13-DQB1*06 | | Russia North Ossetian | 0.3900 | | 127 |
|
64 | A*26-B*38-DRB1*13-DQB1*06 | | Guatemala, Guatemala City Mixed Ancestry | 0.3900 | | 127 |
|
65 | A*26-B*38-DRB1*13-DQB1*06 | | Mexico Zacatecas Rural | 0.3717 | | 266 |
|
66 | A*24-B*38-C*12-DRB1*13-DQA1*01-DQB1*06 | | Spain, Castilla y Leon, Northwest, | 0.3709 | | 1,743 |
|
67 | A*02-B*38-C*12-DRB1*13-DQA1*01-DQB1*06 | | Spain, Castilla y Leon, Northwest, | 0.3651 | | 1,743 |
|
68 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Tabasco Rural | 0.3521 | | 142 |
|
69 | A*03-B*38-DRB1*13-DQB1*06 | | Mexico Sonora, Ciudad Obregón | 0.3497 | | 143 |
|
70 | A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03 | | Germany DKMS - Italy minority | 0.3450 | | 1,159 |
|
71 | A*03-B*38-C*12-DRB1*13-DQB1*06 | | Albania pop 2 | 0.3400 | | 432 |
|
72 | A*26-B*38-C*07-DRB1*13-DQB1*06 | | Albania pop 2 | 0.3400 | | 432 |
|
73 | A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03 | | Germany DKMS - Turkey minority | 0.3350 | | 4,856 |
|
74 | A*02:01-B*38:01-C*12:02-DRB1*13:02-DQA1*01:03-DQB1*06:03 | | Brazil Puyanawa | 0.3333 | | 150 |
|
75 | A*02:01-B*38:01-C*12:03-DRB1*13:02-DQA1*01:03-DQB1*06:03 | | Brazil Puyanawa | 0.3333 | | 150 |
|
76 | A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01 | | Russia Karelia | 0.3280 | | 1,075 |
|
77 | A*01:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:02:02-DPB1*05:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
78 | A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:02:01-DQB1*06:03-DPA1*01:03:01-DPB1*03:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
79 | A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*03:01:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
80 | A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*10:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
81 | A*23:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02 | | Russia Belgorod region | 0.3268 | | 153 |
|
82 | A*24:02:01-B*38:01:01-C*07:02:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:02-DPA1*01:03:01-DPB1*02:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
83 | A*32:01:01-B*38:01:01-C*02:02:02-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03-DPA1*01:03:01-DPB1*05:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
84 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Mexico City Center | 0.3247 | | 152 |
|
85 | A*02-B*38-DRB1*13-DQB1*06 | | Mexico Durango, Durango city | 0.3226 | | 153 |
|
86 | A*26-B*38-DRB1*13-DQB1*06 | | Mexico Durango, Durango city | 0.3226 | | 153 |
|
87 | A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*11:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
88 | A*26:01:01-B*38:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
89 | A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
90 | A*26-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Brazil Paraná Caucasian | 0.3120 | | 641 |
|
91 | A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03 | | Colombia Bogotá Cord Blood | 0.3003 | | 1,463 |
|
92 | A*24-B*38-DRB1*13-DQB1*06 | | Mexico Jalisco, Zapopan | 0.2976 | | 168 |
|
93 | A*26-B*38-C*12-DRB1*13-DQA1*01-DQB1*06 | | Spain, Castilla y Leon, Northwest, | 0.2866 | | 1,743 |
|
94 | A*24-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Brazil Paraná Caucasian | 0.2838 | | 641 |
|
95 | A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03 | | Colombia Bogotá Cord Blood | 0.2629 | | 1,463 |
|
96 | A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
97 | A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03 | | USA NMDP Caribean Indian | 0.2589 | | 14,339 |
|
98 | A*11-B*38-DRB1*13-DQB1*06 | | Mexico Sonora Rural | 0.2538 | | 197 |
|
99 | A*03-B*38-DRB1*13:01-DQA1*01:03-DQB1*06:03 | | Brazil Paraná Caucasian | 0.2340 | | 641 |
|
100 | A*02:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.2305 | | 1,510 |
|
* 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).