Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
201 | A*01:02-B*39:01-C*02:05-DRB1*07:01-DQB1*02:01-DPB1*04:01 | | Panama | 0.1900 | | 462 |
|
202 | A*01:02-B*39:10 | | USA African American pop 4 | 0.0420 | | 2,411 |
|
203 | A*01:03-B*39:10 | | USA African American pop 4 | 0.0210 | | 2,411 |
|
204 | A*01:03-B*39:10-C*12:03-DRB1*13:03-DQB1*03:01 | | USA African American pop 4 | 0.0440 | | 2,411 |
|
205 | A*01:03-B*39:10-DRB1*03:01 | | Israel Ethiopia Jews | 0.0085 | | 5,928 |
|
206 | A*01:03-B*39:10-DRB1*04:04 | | Israel Ethiopia Jews | 0.4920 | | 5,928 |
|
207 | A*01:03-B*39:10-DRB1*07:01 | | Israel Ethiopia Jews | 0.0892 | | 5,928 |
|
208 | A*01:03-B*39:10-DRB1*13:02 | | Israel Ethiopia Jews | 0.0108 | | 5,928 |
|
209 | A*01:03-B*39:24-C*07:01-DRB1*11:02 | | Germany DKMS - Portugal minority | 0.0430 | | 1,176 |
|
210 | A*01:03-B*39:24-DRB1*04:05 | | Israel Ethiopia Jews | 0.0169 | | 5,928 |
|
211 | A*01:03-B*39:24-DRB1*11:02 | | Israel Ethiopia Jews | 0.0084 | | 5,928 |
|
212 | A*01:03-B*39:24-DRB1*11:02 | | Israel Morocco Jews | 0.0041 | | 36,718 |
|
213 | A*01:06-B*39:06-DRB1*11:02 | | Israel Morocco Jews | 0.0014 | | 36,718 |
|
214 | A*01:17-B*39:01-DRB1*15:01 | | Israel Argentina Jews | 0.0058 | | 4,307 |
|
215 | A*01:17-B*39:02-DRB1*13:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
216 | A*01:17-B*39:02-DRB1*16:01 | | Israel USSR Jews | 0.0011 | | 45,681 |
|
217 | A*01:17-B*39:10-DRB1*04:01 | | Israel Ethiopia Jews | 0.0042 | | 5,928 |
|
218 | A*01:17-B*39:10-DRB1*08:04 | | Israel Iraq Jews | 0.0019 | | 13,270 |
|
219 | A*01:36-B*39:01-DRB1*15:01 | | Israel Argentina Jews | 0.0058 | | 4,307 |
|
220 | A*01:36-B*39:02-DRB1*13:01 | | Israel USSR Jews | 0.0005470 | | 45,681 |
|
221 | A*01:36-B*39:02-DRB1*16:01 | | Israel USSR Jews | 0.0011 | | 45,681 |
|
222 | A*01:36-B*39:10-DRB1*04:01 | | Israel Ethiopia Jews | 0.0042 | | 5,928 |
|
223 | A*01:36-B*39:10-DRB1*08:04 | | Israel Iraq Jews | 0.0019 | | 13,270 |
|
224 | A*01-B*39-C*03-DRB1*16-DQB1*06 | | Albania pop 2 | 0.3400 | | 432 |
|
225 | A*01-B*39-C*07-DRB1*04-DQA1*01-DQB1*06 | | Mexico Tapachula, Chiapas Mestizo Population | 0.6944 | | 72 |
|
226 | A*01-B*39-C*07-DRB1*04-DQA1*03-DQB1*03 | | Mexico Tapachula, Chiapas Mestizo Population | 0.6944 | | 72 |
|
227 | A*01-B*39-C*07-DRB1*04-DQB1*03-DPB1*03 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
228 | A*01-B*39-C*07-DRB1*08 | | Macedonia MBMDR - Macedonian | 0.0390 | | 1,283 |
|
229 | A*01-B*39-C*07-DRB1*08-DQB1*04-DPB1*04 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
230 | A*01-B*39-C*07-DRB1*13-DQB1*06-DPB1*06 | | Norway ethnic Norwegians | 0.0100 | | 4,510 |
|
231 | A*01-B*39-C*07-DRB1*15-DQB1*06-DPB1*04 | | Norway ethnic Norwegians | 0.0200 | | 4,510 |
|
232 | A*01-B*39-C*07-DRB1*15-DQB1*06-DPB1*11 | | Norway ethnic Norwegians | 0.0300 | | 4,510 |
|
233 | A*01-B*39-C*12-DRB1*07-DQA1*05-DQB1*03 | | Spain, Castilla y Leon, Northwest, | 0.0328 | | 1,743 |
|
234 | A*01-B*39-C*12-DRB1*08-DQA1*04-DQB1*04 | | Spain, Castilla y Leon, Northwest, | 0.0328 | | 1,743 |
|
235 | A*01-B*39-C*12-DRB1*13-DQA1*01-DQB1*06 | | Spain, Castilla y Leon, Northwest, | 0.0406 | | 1,743 |
|
236 | A*01-B*39-C*12-DRB1*15-DQA1*01-DQB1*06 | | Spain, Castilla y Leon, Northwest, | 0.0541 | | 1,743 |
|
237 | A*01-B*39-C*12-DRB1*16-DQA1*01-DQB1*05 | | Spain, Castilla y Leon, Northwest, | 0.0328 | | 1,743 |
|
238 | A*01-B*39-DRB1*01-DQB1*05 | | Mexico Michoacan Rural | 0.1433 | | 348 |
|
239 | A*01-B*39-DRB1*03 | | Brazil South East Cord Blood | 0.0080 | | 11,409 |
|
240 | A*01-B*39-DRB1*04 | | Brazil South Ribeirao Preto | 0.3000 | | 184 |
|
241 | A*01-B*39-DRB1*04-DQB1*03:02 | | Ecuador Mixed Ancestry | 0.0426 | | 1,173 |
|
242 | A*01-B*39-DRB1*04-DQB1*03:02 | | Ecuador Andes Mixed Ancestry | 0.0607 | | 824 |
|
243 | A*01-B*39-DRB1*04-DQB1*03:02 | | Mexico Puebla, Puebla city | 0.0251 | | 1,994 |
|
244 | A*01-B*39-DRB1*04-DQB1*03:02 | | Mexico Veracruz, Coatzacoalcos | 0.8929 | | 55 |
|
245 | A*01-B*39-DRB1*04-DQB1*03:02 | | Mexico Nuevo Leon, Monterrey city | 0.4425 | | 226 |
|
246 | A*01-B*39-DRB1*04-DQB1*03:02 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
247 | A*01-B*39-DRB1*04-DQB1*03:02 | | Mexico Coahuila, Torreon | 0.1250 | | 396 |
|
248 | A*01-B*39-DRB1*04-DQB1*03:02 | | Mexico Michoacan Rural | 0.1433 | | 348 |
|
249 | A*01-B*39-DRB1*04-DQB1*03:02 | | Mexico Veracruz Rural | 0.0924 | | 539 |
|
250 | A*01-B*39-DRB1*04-DQB1*03:02 | | Mexico Tlaxcala Rural | 0.0602 | | 830 |
|
251 | A*01-B*39-DRB1*04-DQB1*04 | | Mexico Puebla, Puebla city | 0.0501 | | 1,994 |
|
252 | A*01-B*39-DRB1*07:01-DQA1*02:01-DQB1*03:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
253 | A*01-B*39-DRB1*07-DQB1*02 | | Mexico Jalisco, Guadalajara city | 0.0419 | | 1,189 |
|
254 | A*01-B*39-DRB1*07-DQB1*02 | | Mexico Aguascalientes state | 1.5789 | | 95 |
|
255 | A*01-B*39-DRB1*07-DQB1*02 | | Mexico Jalisco Rural | 0.0853 | | 585 |
|
256 | A*01-B*39-DRB1*07-DQB1*03 | | Iraq Arabs | 0.3400 | | 149 |
|
257 | A*01-B*39-DRB1*08 | | Brazil Para Cord Blood Unit | 0.0595 | | 841 |
|
258 | A*01-B*39-DRB1*08 | | Brazil South East Cord Blood | 0.0430 | | 11,409 |
|
259 | A*01-B*39-DRB1*08-DQB1*04 | | Guatemala, Guatemala City Mixed Ancestry | 0.3900 | | 127 |
|
260 | A*01-B*39-DRB1*08-DQB1*04 | | Mexico Tlaxcala Rural | 0.0602 | | 830 |
|
261 | A*01-B*39-DRB1*10 | | Brazil Para State | 0.0100 | | 5,000 |
|
262 | A*01-B*39-DRB1*11 | | Russia Moscow Pop 2 | 0.0300 | | 2,000 |
|
263 | A*01-B*39-DRB1*11-DQB1*03:01 | | Mexico Veracruz, Orizaba | 1.6667 | | 60 |
|
264 | A*01-B*39-DRB1*11-DQB1*03:01 | | Mexico Chiapas, Tuxtla Gutierrez | 1.8868 | | 52 |
|
265 | A*01-B*39-DRB1*11-DQB1*06 | | Mexico Jalisco, Zapopan | 0.2976 | | 168 |
|
266 | A*01-B*39-DRB1*12-DQB1*03:01 | | Mexico Chihuahua Chihuahua City | 0.8403 | | 119 |
|
267 | A*01-B*39-DRB1*12-DQB1*03:01 | | Mexico Yucatan, Merida | 0.5128 | | 192 |
|
268 | A*01-B*39-DRB1*12-DQB1*03:01 | | Mexico Tlaxcala Rural | 0.1205 | | 830 |
|
269 | A*01-B*39-DRB1*12-DQB1*03:01 | | Mexico Yucatan Rural | 0.3731 | | 132 |
|
270 | A*01-B*39-DRB1*13 | | Brazil Para State | 0.0100 | | 5,000 |
|
271 | A*01-B*39-DRB1*13-DQB1*06 | | Mexico Puebla, Puebla city | 0.0501 | | 1,994 |
|
272 | A*01-B*39-DRB1*14 | | Brazil Para State | 0.0200 | | 5,000 |
|
273 | A*01-B*39-DRB1*14 | | Russia Moscow Pop 2 | 0.0300 | | 2,000 |
|
274 | A*01-B*39-DRB1*14:02 | | Chile Santiago | 0.0272 | | 920 |
|
275 | A*01-B*39-DRB1*14:06-DQA1*05:03-DQB1*03:01 | | Brazil Paraná Caucasian | 0.0780 | | 641 |
|
276 | A*01-B*39-DRB1*14:06-DQB1*03:01 | | Mexico Sinaloa Capomos Mayo Yoremes | 0.8333 | | 60 |
|
277 | A*01-B*39-DRB1*14:13 | | Chile Santiago | 0.0272 | | 920 |
|
278 | A*01-B*39-DRB1*14-DQB1*03:01 | | Mexico Zacatecas, Fresnillo | 0.4762 | | 103 |
|
279 | A*01-B*39-DRB1*14-DQB1*03:01 | | Mexico Veracruz, Veracruz city | 0.2907 | | 171 |
|
280 | A*01-B*39-DRB1*15 | | Italy Lombardy | 0.0700 | | 674 |
|
281 | A*01-B*39-DRB1*15:01 | | Colombia Barranquilla | 0.2700 | | 188 |
|
282 | A*01-B*39-DRB1*15:01-DQB1*06:02 | | Colombia San Basilio de Palenque | 1.1910 | | 42 |
|
283 | A*01-B*39-DRB1*16 | | Albania pop 2 | 0.1200 | | 432 |
|
284 | A*01-B*39-DRB1*16 | | Brazil Para State | 0.0643 | | 5,000 |
|
285 | A*01-B*39-DRB1*16 | | Iraq Erbil | 0.2000 | | 372 |
|
286 | A*01-B*39-DRB1*16 | | Italy Lombardy | 0.0800 | | 674 |
|
287 | A*01-B*39-DRB1*16 | | Russia Moscow Pop 2 | 0.0400 | | 2,000 |
|
288 | A*02:01:01:01-B*39:01:01:03-C*02:02:02-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
289 | A*02:01:01:01-B*39:01:01:03-C*07:02:01:01-DRB1*12:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
290 | A*02:01:01:01-B*39:01:01:03-C*12:02:02-DRB1*15:02-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
291 | A*02:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0594 | | 1,510 |
|
292 | A*02:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*11:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
293 | A*02:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01 | | Russia Nizhny Novgorod, Russians | 0.1525 | | 1,510 |
|
294 | A*02:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
295 | A*02:01:01:01-B*39:05:01-C*12:03:01:01-DRB1*04:03:01-DQB1*03:04:01 | | Russia Nizhny Novgorod, Russians | 0.0331 | | 1,510 |
|
296 | A*02:01:01-B*39:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0018 | | 23,595 |
|
297 | A*02:01:01-B*39:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:03:01 | | Poland BMR | 0.0021 | | 23,595 |
|
298 | A*02:01:01-B*39:01:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.0023 | | 23,595 |
|
299 | A*02:01:01-B*39:01:01-C*02:02:02-DRB1*04:03:01-DQB1*03:02:01 | | Poland BMR | 0.0021 | | 23,595 |
|
300 | A*02:01:01-B*39:01:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01 | | Poland BMR | 0.0149 | | 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).