Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
201 | A*23:01:01-B*44:02:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0106 | | 23,595 |
|
202 | A*23:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*02:01:01 | | Poland BMR | 0.0009161 | | 23,595 |
|
203 | A*23:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Spain, Canary Islands, Gran canaria island | 0.4700 | | 215 |
|
204 | A*23:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
205 | A*23:01:01-B*44:02:01-C*07:04:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0023 | | 23,595 |
|
206 | A*23:01:01-B*44:02:01-C*07:04:01-DRB1*04:04:01-DQB1*03:02:01 | | Poland BMR | 0.0023 | | 23,595 |
|
207 | A*23:01:01-B*44:02:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
208 | A*23:01:01-B*44:02:01-C*16:04:01-DRB1*01:01:01-DPB1*04:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0068 | | 5,266 |
|
209 | A*23:01:01-B*44:03:01-C*02:02:02 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
210 | A*23:01:01-B*44:03:01-C*04:01:01 | | England Blood Donors of Mixed Ethnicity | 1.1550 | | 519 |
|
211 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*01:01:01-DQB1*02:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
212 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*01:01:01-DQB1*02:02:01 | | Poland BMR | 0.0026 | | 23,595 |
|
213 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0037 | | 23,595 |
|
214 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
215 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
216 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
217 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0083 | | 23,595 |
|
218 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*03:02:01-DQB1*04:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
219 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
220 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:01:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
221 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:01:01-DQB1*03:02:01 | | Poland BMR | 0.0154 | | 23,595 |
|
222 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01 | | Poland BMR | 0.0076 | | 23,595 |
|
223 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:03:01-DQB1*03:05:01 | | Poland BMR | 0.0021 | | 23,595 |
|
224 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:05:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*02:01:02 | | Brazil Barra Mansa Rio State Black | 2.3810 | | 73 |
|
225 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:07:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
226 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:07:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
227 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:08-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
228 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:08-DQB1*03:04:01 | | Poland BMR | 0.0019 | | 23,595 |
|
229 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:72:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
230 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:02:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
231 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*13:01:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
232 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02 | | Russia Nizhny Novgorod, Russians | 0.8220 | | 1,510 |
|
233 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0288 | | 1,734 |
|
234 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Kerala Malayalam speaking | 0.2810 | | 356 |
|
235 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | India Karnataka Kannada Speaking | 0.2870 | | 174 |
|
236 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.9373 | | 23,595 |
|
237 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Caucasian | 0.3891 | | 521 |
|
238 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02 | | Brazil Rio de Janeiro Parda | 1.7647 | | 170 |
|
239 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Barra Mansa Rio State Caucasian | 0.6230 | | 405 |
|
240 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*03:01:01 | | Poland BMR | 0.0030 | | 23,595 |
|
241 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01 | | Poland BMR | 0.0043 | | 23,595 |
|
242 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02 | | Poland BMR | 0.0389 | | 23,595 |
|
243 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01 | | Poland BMR | 0.0066 | | 23,595 |
|
244 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*05:02:01 | | Poland BMR | 0.0042 | | 23,595 |
|
245 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*06:02:01 | | Poland BMR | 0.0040 | | 23,595 |
|
246 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*06:03:01 | | Poland BMR | 0.0007965 | | 23,595 |
|
247 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*06:04:01 | | Poland BMR | 0.0021 | | 23,595 |
|
248 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01-DQB1*02:02 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
249 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0023 | | 23,595 |
|
250 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*08:04:01-DQB1*03:01 | | Costa Rica Central Valley Mestizo (G) | 0.2262 | | 221 |
|
251 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
252 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
253 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01 | | Poland BMR | 0.0424 | | 23,595 |
|
254 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01 | | Poland BMR | 0.0093 | | 23,595 |
|
255 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*11:03:01-DQB1*06:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
256 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*11:03-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0662 | | 1,510 |
|
257 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*11:03-DQB1*03:01 | | Russia Bashkortostan, Tatars | 0.2604 | | 192 |
|
258 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*11:04:01-DQB1*02:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
259 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01 | | Poland BMR | 0.0193 | | 23,595 |
|
260 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*11:04:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
261 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*11:04:01-DQB1*06:04:01 | | Poland BMR | 0.0021 | | 23,595 |
|
262 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01 | | Poland BMR | 0.0023 | | 23,595 |
|
263 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
264 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0242 | | 23,595 |
|
265 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Bashkortostan, Bashkirs | 0.4167 | | 120 |
|
266 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
267 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01 | | Poland BMR | 0.0048 | | 23,595 |
|
268 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0022 | | 23,595 |
|
269 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*14:01:01-DQB1*05:03:01 | | Poland BMR | 0.0047 | | 23,595 |
|
270 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01 | | Poland BMR | 0.0050 | | 23,595 |
|
271 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
272 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0411 | | 23,595 |
|
273 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*15:03 | | Costa Rica African -Caribbean (G) | 0.4902 | | 102 |
|
274 | A*23:01:01-B*44:03:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01 | | Russia Bashkortostan, Tatars | 0.5208 | | 192 |
|
275 | A*23:01:01-B*44:03:01-C*04:09N | | England Blood Donors of Mixed Ethnicity | 0.1927 | | 519 |
|
276 | A*23:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*11:01:01 | | Brazil Rio de Janeiro Parda | 0.5882 | | 170 |
|
277 | A*23:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*17:01:01 | | Brazil Rio de Janeiro Black | 1.4706 | | 68 |
|
278 | A*23:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
279 | A*23:01:01-B*44:03:01-C*07:02:01-DRB1*07:01:01-DQA1*01:02:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01 | | Russian Federation Vologda Region | 0.4202 | | 119 |
|
280 | A*23:01:01-B*44:03:01-C*07:04:01-DRB1*07:01:01-DQB1*03:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
281 | A*23:01:01-B*44:03:01-C*12:03:01-DRB1*07:01:01-DQA1*01:04:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01 | | Russia Belgorod region | 0.3268 | | 153 |
|
282 | A*23:01:01-B*44:03:01-C*14:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
283 | A*23:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01 | | Spain, Canary Islands, Gran canaria island | 0.2300 | | 215 |
|
284 | A*23:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:02-DPB1*01:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
285 | A*23:01:01-B*44:03:01-C*16:01:01-DRB1*08:01:01-DQB1*04:02:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
286 | A*23:01:01-B*44:03:01-C*16:01:01-DRB1*13:03:01-DQB1*03:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
287 | A*23:01:01-B*44:03:01-C*16:01:01-DRB1*14:54:01-DQB1*05:03:01 | | Poland BMR | 0.0042 | | 23,595 |
|
288 | A*23:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01 | | India Andhra Pradesh Telugu Speaking | 0.2688 | | 186 |
|
289 | A*23:01:01-B*44:05:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
290 | A*23:01:01-B*44:05:01-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01 | | Poland BMR | 0.0021 | | 23,595 |
|
291 | A*23:01:01-B*44:05:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
292 | A*23:01:01-B*44:05:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0043 | | 23,595 |
|
293 | A*23:01:01-B*44:27:01-C*07:04:01-DRB1*16:01:01-DQB1*05:02:01 | | Poland BMR | 0.0029 | | 23,595 |
|
294 | A*23:01:01-B*45:01:01-C*06:02:01-DRB1*01:02:01-DQB1*03:19:01-DPB1*02:01:02 | | South African Black | 0.3520 | | 142 |
|
295 | A*23:01:01-B*45:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01 | | Brazil Rio de Janeiro Caucasian | 0.1946 | | 521 |
|
296 | A*23:01:01-B*45:01:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01-DPB1*105:01:01 | | South African Black | 0.3520 | | 142 |
|
297 | A*23:01:01-B*45:01:01-C*06:02:01-DRB1*04:72:01-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
298 | A*23:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DPB1*09:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0949 | | 5,266 |
|
299 | A*23:01:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01 | | China Zhejiang Han | 0.0577 | | 1,734 |
|
300 | A*23:01:01-B*45:01:01-C*06:02:01-DRB1*09:01:02-DQB1*02:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
* 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).