Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
101 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01 | | Costa Rica Central Valley Mestizo (G) | 0.9050 | | 221 |
|
102 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Jalisco, Zapopan | 0.8929 | | 168 |
|
103 | A*01-B*08-DRB1*03:01-DQB1*02 | | Ecuador Andes Mixed Ancestry | 0.7888 | | 824 |
|
104 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Nayarit Rural | 0.7812 | | 64 |
|
105 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Puebla Rural | 0.7794 | | 833 |
|
106 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Sonora Rural | 0.7614 | | 197 |
|
107 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01 | | USA NMDP Caribean Black | 0.7481 | | 33,328 |
|
108 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Yucatan Rural | 0.7463 | | 132 |
|
109 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Mexico City North | 0.7304 | | 751 |
|
110 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Tabasco Rural | 0.7042 | | 142 |
|
111 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Spain, Canary Islands, Gran canaria island | 0.7000 | | 215 |
|
112 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Guerrero state | 0.6944 | | 144 |
|
113 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Oaxaca, Oaxaca city | 0.6623 | | 151 |
|
114 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Mexico City Metropolitan Area Rural | 0.6579 | | 150 |
|
115 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01 | | Russia Belgorod region | 0.6536 | | 153 |
|
116 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02 | | Russia Belgorod region | 0.6536 | | 153 |
|
117 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01 | | USA NMDP African | 0.6448 | | 28,557 |
|
118 | A*01-B*08-DRB1*03:01-DQB1*02 | | Ecuador Mixed Ancestry | 0.6394 | | 1,173 |
|
119 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Tabasco, Villahermosa | 0.6098 | | 82 |
|
120 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
121 | A*01-B*08-DRB1*03:01-DQB1*02:01 | | Bolivia La Paz Aymaras | 0.5750 | | 87 |
|
122 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico San Luis Potosi Rural | 0.5747 | | 87 |
|
123 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Sinaloa Rural | 0.5464 | | 183 |
|
124 | A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:02 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
125 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Nayarit, Tepic | 0.5155 | | 97 |
|
126 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02 | | Germany DKMS - German donors | 0.4878 | | 3,456,066 |
|
127 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Veracruz Rural | 0.4621 | | 539 |
|
128 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01 | | Germany DKMS - German donors | 0.4524 | | 3,456,066 |
|
129 | A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01 | | India West UCBB | 0.4383 | | 5,829 |
|
130 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
131 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*23:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
132 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*01:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
133 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
134 | A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
135 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Chihuahua Chihuahua City | 0.4202 | | 119 |
|
136 | A*01-B*08-DRB1*03:01-DQB1*02 | | Ecuador Coast Mixed Ancestry | 0.4202 | | 238 |
|
137 | A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
138 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Germany DKMS - German donors | 0.4115 | | 3,456,066 |
|
139 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Oaxaca Rural | 0.4107 | | 485 |
|
140 | A*01:01-B*08:04-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01 | | Kosovo | 0.4030 | | 124 |
|
141 | A*01:01-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01 | | Panama | 0.3800 | | 462 |
|
142 | A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01 | | India North UCBB | 0.3505 | | 5,849 |
|
143 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01 | | Brazil Puyanawa | 0.3333 | | 150 |
|
144 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Puebla, Puebla city | 0.3257 | | 1,994 |
|
145 | A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01 | | India Central UCBB | 0.3227 | | 4,204 |
|
146 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
147 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02:01 | | Brazil Barra Mansa Rio State Caucasian | 0.3125 | | 405 |
|
148 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Veracruz, Veracruz city | 0.2907 | | 171 |
|
149 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01 | | Russia Karelia | 0.2886 | | 1,075 |
|
150 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01 | | USA NMDP Filipino | 0.2607 | | 50,614 |
|
151 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02 | | USA San Diego | 0.2600 | | 496 |
|
152 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01 | | USA NMDP Japanese | 0.2452 | | 24,582 |
|
153 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Tlaxcala Rural | 0.2410 | | 830 |
|
154 | A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.2387 | | 11,446 |
|
155 | A*01-B*08-DRB1*03:01-DQB1*02 | | Mexico Nuevo Leon Rural | 0.2273 | | 439 |
|
156 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
157 | A*01:01-B*08:01-C*01:02-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Panama | 0.1900 | | 462 |
|
158 | A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01 | | Malaysia Peninsular Indian | 0.1845 | | 271 |
|
159 | A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01 | | USA Asian pop 2 | 0.1780 | | 1,772 |
|
160 | A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01 | | India Tamil Nadu | 0.1526 | | 2,492 |
|
161 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01 | | Germany DKMS - German donors | 0.1409 | | 3,456,066 |
|
162 | A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
163 | A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01 | | India East UCBB | 0.1375 | | 2,403 |
|
164 | A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.1360 | | 4,856 |
|
165 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01 | | Russia Karelia | 0.1315 | | 1,075 |
|
166 | A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0994 | | 1,510 |
|
167 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01 | | USA Asian pop 2 | 0.0890 | | 1,772 |
|
168 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02 | | Russia Karelia | 0.0814 | | 1,075 |
|
169 | A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01 | | Russia Nizhny Novgorod, Russians | 0.0782 | | 1,510 |
|
170 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01 | | USA NMDP Korean | 0.0694 | | 77,584 |
|
171 | A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0680 | | 4,335 |
|
172 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*20:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
173 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01 | | Russia Karelia | 0.0565 | | 1,075 |
|
174 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:85-DPB1*01:01 | | Russia Karelia | 0.0563 | | 1,075 |
|
175 | A*01:01-B*08:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*01:01 | | Russia Karelia | 0.0562 | | 1,075 |
|
176 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01 | | USA NMDP Vietnamese | 0.0493 | | 43,540 |
|
177 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*16:01 | | Germany DKMS - German donors | 0.0469 | | 3,456,066 |
|
178 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*05:01 | | Germany DKMS - German donors | 0.0446 | | 3,456,066 |
|
179 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*10:01 | | Germany DKMS - German donors | 0.0402 | | 3,456,066 |
|
180 | A*01:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0349 | | 11,446 |
|
181 | A*01:01-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01 | | India South UCBB | 0.0306 | | 11,446 |
|
182 | A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
183 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*20:01 | | Germany DKMS - German donors | 0.0269 | | 3,456,066 |
|
184 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*13:01 | | Germany DKMS - German donors | 0.0260 | | 3,456,066 |
|
185 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*06:01 | | Germany DKMS - German donors | 0.0234 | | 3,456,066 |
|
186 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*17:01 | | Germany DKMS - German donors | 0.0216 | | 3,456,066 |
|
187 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*14:01 | | Germany DKMS - German donors | 0.0202 | | 3,456,066 |
|
188 | A*01:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
189 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
190 | A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:07 | | India Tamil Nadu | 0.0201 | | 2,492 |
|
191 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*19:01 | | Germany DKMS - German donors | 0.0190 | | 3,456,066 |
|
192 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01 | | India North UCBB | 0.0171 | | 5,849 |
|
193 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*15:01 | | Germany DKMS - German donors | 0.0171 | | 3,456,066 |
|
194 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01 | | USA NMDP Chinese | 0.0154 | | 99,672 |
|
195 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*11:01 | | Germany DKMS - German donors | 0.0137 | | 3,456,066 |
|
196 | A*01:01-B*08:01-C*02:02-DRB1*03:01-DQB1*02:01 | | India Central UCBB | 0.0121 | | 4,204 |
|
197 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*23:01 | | Germany DKMS - German donors | 0.0107 | | 3,456,066 |
|
198 | A*01:01-B*08:01-C*05:01-DRB1*03:01-DQB1*02:01 | | Germany DKMS - Turkey minority | 0.0100 | | 4,856 |
|
199 | A*01:01-B*08:01-C*02:02-DRB1*03:01-DQB1*02:01 | | India North UCBB | 0.0088 | | 5,849 |
|
200 | A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01 | | India West UCBB | 0.0086 | | 5,829 |
|
* 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).