Line |
Haplotype |
Population |
Frequency (%) |
Sample Size |
Distribution¹ |
301 | A*24:02:01-B*55:02:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.1441 | | 1,734 |
|
302 | A*02:01:01:01-B*27:05:02-C*01:02:01-DRB1*04:08:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.1420 | | 1,510 |
|
303 | A*01:01:01-B*13:01:01-C*01:02:01-DRB1*13:02:01-DQB1*05:23 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
304 | A*01:01:01-B*55:01:01-C*01:02:01-DRB1*13:01:01-DQB1*02:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
305 | A*02:01:01-B*40:06:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
306 | A*02:01:01-B*40:06:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
307 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*15:06:01-DQB1*05:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
308 | A*03:01:01-B*15:18:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
309 | A*03:01:01-B*18:01:01-C*01:02:01-DRB1*15:06:01-DQB1*05:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
310 | A*03:01:01-B*55:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
311 | A*03:01:01-B*55:01:01-C*01:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
312 | A*03:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
313 | A*11:01:01-B*55:01:01-C*01:02:01-DRB1*01:01:01-DQB1*02:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
314 | A*11:01:01-B*55:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
315 | A*11:01:01-B*55:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
316 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*14:04:01-DQB1*05:03:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
317 | A*24:02:01-B*15:01:01-C*01:02:01-DRB1*07:01:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
318 | A*24:02:01-B*15:01:01-C*01:02:01-DRB1*14:04:01-DQB1*05:03:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
319 | A*24:02:01-B*27:07:01-C*01:02:01-DRB1*03:02:01-DQB1*03:02:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
320 | A*24:02:01-B*35:03:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
321 | A*24:02:01-B*52:01:01-C*01:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
322 | A*24:02:01-B*55:01:01-C*01:02:01-DRB1*10:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
323 | A*26:01:01-B*15:08:01-C*01:02:01-DRB1*07:01:01-DQB1*03:03:02 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
324 | A*26:01:01-B*55:01:01-C*01:02:01-DRB1*08:03:02-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
325 | A*26:01:01-B*55:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
326 | A*31:01:02-B*55:01:01-C*01:02:01-DRB1*03:01:01-DQB1*06:03:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
327 | A*31:01:02-B*55:01:01-C*01:02:01-DRB1*13:01:03-DQB1*06:03:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
328 | A*31:01:02-B*55:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
329 | A*68:01:01-B*55:01:01-C*01:02:01-DRB1*04:01:01-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
330 | A*68:01:01-B*55:01:01-C*01:02:01-DRB1*08:03:02-DQB1*03:01:01 | | India Kerala Malayalam speaking | 0.1400 | | 356 |
|
331 | A*26:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.1386 | | 1,734 |
|
332 | A*11:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.1364 | | 23,595 |
|
333 | A*02:06:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.1343 | | 1,734 |
|
334 | A*02:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.1326 | | 5,266 |
|
335 | A*02:03:01-B*46:01:01-C*01:02:01-DRB1*04:05:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.1325 | | 5,266 |
|
336 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.1311 | | 5,266 |
|
337 | A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.1311 | | 5,266 |
|
338 | A*11:01:01-B*55:02:01-C*01:02:01-DRB1*04:05:01-DQB1*04:01:01 | | China Zhejiang Han | 0.1290 | | 1,734 |
|
339 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.1284 | | 5,266 |
|
340 | A*03:01:01-B*15:15-C*01:02:01-DRB1*04:11:01-DQB1*06:02 | | Costa Rica Central Valley Mestizo (G) | 0.1282 | | 221 |
|
341 | A*24:02:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01 | | China Zhejiang Han | 0.1269 | | 1,734 |
|
342 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01 | | China Zhejiang Han | 0.1250 | | 1,734 |
|
343 | A*02:03:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.1223 | | 5,266 |
|
344 | A*03:01:01-B*51:01:01-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.1182 | | 519 |
|
345 | A*11:01:01-B*54:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.1182 | | 1,734 |
|
346 | A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*03:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.1164 | | 5,266 |
|
347 | A*11:02:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02 | | China Zhejiang Han | 0.1153 | | 1,734 |
|
348 | A*24:02:01-B*54:01:01-C*01:02:01-DRB1*12:01:01-DQB1*03:01:01 | | China Zhejiang Han | 0.1153 | | 1,734 |
|
349 | A*26:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.1152 | | 23,595 |
|
350 | A*26:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.1149 | | 5,266 |
|
351 | A*02:01:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.1138 | | 1,510 |
|
352 | A*01:01:01-B*27:05:02-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.1135 | | 519 |
|
353 | A*11:01:01-B*55:02:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01 | | China Zhejiang Han | 0.1061 | | 1,734 |
|
354 | A*02:01:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01 | | China Zhejiang Han | 0.1059 | | 1,734 |
|
355 | A*02:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 | | Poland BMR | 0.1040 | | 23,595 |
|
356 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*12:02:01-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.1026 | | 5,266 |
|
357 | A*11:01:01-B*27:05:02-C*01:02:01-DRB1*01:01-DQB1*06:02 | | Costa Rica Central Valley Mestizo (G) | 0.1014 | | 221 |
|
358 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*04:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.1002 | | 5,266 |
|
359 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*04:06:01-DQB1*03:02:01 | | China Zhejiang Han | 0.1000 | | 1,734 |
|
360 | A*02:01:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0998 | | 1,510 |
|
361 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0993 | | 1,510 |
|
362 | A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*02:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0979 | | 5,266 |
|
363 | A*02:01:01-B*27:05:04-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
364 | A*02:01:01-B*56:01:01-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
365 | A*02:07:01-B*46:01:01-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
366 | A*02:11:01-B*51:01:01-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
367 | A*03:01:01-B*55:01:01-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
368 | A*26:01:01-B*55:01:01-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
369 | A*31:01:02-B*15:01:01-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
370 | A*32:01:01-B*27:05:02-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
371 | A*32:01:01-B*56:01:01-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
372 | A*33:03:01-B*15:01:01-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0963 | | 519 |
|
373 | A*26:01:01-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01 | | Poland BMR | 0.0936 | | 23,595 |
|
374 | A*11:01:01-B*27:05:02-C*01:02:01-DRB1*01:01-DQB1*05:01 | | Costa Rica Central Valley Mestizo (G) | 0.0936 | | 221 |
|
375 | A*31:01:02-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0929 | | 5,266 |
|
376 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*11:01:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0917 | | 5,266 |
|
377 | A*02:01:01-B*54:01:01-C*01:02:01-DRB1*04:05:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0905 | | 5,266 |
|
378 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0875 | | 5,266 |
|
379 | A*11:01:01-B*46:01:01-C*01:02:01-DRB1*04:05:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0875 | | 5,266 |
|
380 | A*02:01:01-B*54:01:01-C*01:02:01-DRB1*14:05:01-DQB1*05:03:01 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
381 | A*02:06:01-B*55:02:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
382 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:01:01 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
383 | A*24:02:01-B*54:01:01-C*01:02:01-DRB1*14:05:01-DQB1*05:03:01 | | China Zhejiang Han | 0.0865 | | 1,734 |
|
384 | A*24:02:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0848 | | 1,510 |
|
385 | A*02:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*13:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0809 | | 5,266 |
|
386 | A*02:06:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01 | | China Zhejiang Han | 0.0809 | | 1,734 |
|
387 | A*11:01:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0809 | | 5,266 |
|
388 | A*24:02:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01 | | Russia Nizhny Novgorod, Russians | 0.0807 | | 1,510 |
|
389 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*04:03:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0796 | | 5,266 |
|
390 | A*02:07:01-B*54:01:01-C*01:02:01-DRB1*04:05:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0792 | | 5,266 |
|
391 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*15:01:01-DPB1*02:01:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0791 | | 5,266 |
|
392 | A*11:01:01-B*46:01:01-C*01:02:01-DRB1*11:01:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0791 | | 5,266 |
|
393 | A*24:02:01-B*55:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01 | | India Kerala Malayalam speaking | 0.0790 | | 356 |
|
394 | A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*135:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0782 | | 5,266 |
|
395 | A*03:01:01-B*15:15-C*01:02:01-DRB1*04:11:01-DQB1*04:02:01 | | Costa Rica Central Valley Mestizo (G) | 0.0754 | | 221 |
|
396 | A*01:01:01-B*51:01:01-C*01:02:01 | | England Blood Donors of Mixed Ethnicity | 0.0744 | | 519 |
|
397 | A*11:01:01-B*46:01:01-C*01:02:01-DRB1*14:54:01-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0729 | | 5,266 |
|
398 | A*11:01:01-B*46:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01 | | China Zhejiang Han | 0.0720 | | 1,734 |
|
399 | A*24:02:01:01-B*40:02:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01 | | Russia Nizhny Novgorod, Russians | 0.0711 | | 1,510 |
|
400 | A*33:03:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0710 | | 5,266 |
|
* 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).