Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 601 to 700 (from 2,385) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.22521,734
 602  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.22291,510
 603  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.220323,595
 604  A*29:02:01-B*07:02:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.2149519
 605  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.20411,510
 606  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.19991,734
 607  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.19515,266
 608  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 609  A*02:01:01-B*39:09:01-C*07:02:01-DRB1*14:06:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 610  A*02:02:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 611  A*02:02:01-B*07:20-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 612  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*12:02:02-DQB1*06:03:01-DPA1*02:02:02-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 613  A*03:01:01-B*39:10:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 614  A*03:01:01-B*44:03:01-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 615  A*23:01:01-B*07:02:01-C*07:02:01-DRB1*03:02:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 616  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 617  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 618  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 619  A*24:02:01-B*45:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 620  A*24:02:01-B*57:01:01-C*07:02:01-DRB1*07:01:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 621  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 622  A*26:01:01-B*38:01:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 623  A*29:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 624  A*30:02:01-B*07:02:01-C*07:02:01-DRB1*14:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 625  A*30:04:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 626  A*31:01:02-B*35:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 627  A*68:01:02-B*07:02:01-C*07:02:01-DRB1*14:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 628  A*68:02:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 629  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*02:01:01-DPB1*09:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 630  A*01:01:01-B*39:06:02-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.1930519
 631  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.192528,927
 632  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.192123,595
 633  A*32:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.18811,510
 634  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.186923,595
 635  A*01:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.18391,510
 636  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.183228,927
 637  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.18045,266
 638  A*33:03:01-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1790356
 639  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.174023,595
 640  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.17301,734
 641  A*24:20:01-B*40:01:02-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.17301,734
 642  A*02:01:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.17175,266
 643  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.17125,266
 644  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*03:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.1697221
 645  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.16631,510
 646  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.16591,734
 647  A*02:01:01-B*07:04-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.16561,510
 648  A*26:01:01-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.16561,510
 649  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.16151,510
 650  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*07:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1584221
 651  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.156123,595
 652  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*14:01:01  Saudi Arabia pop 6 (G) 0.153128,927
 653  A*33:03:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 0.1520192
 654  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.15185,266
 655  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.150623,595
 656  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.15055,266
 657  A*68:01:01-B*08:01:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01-DPB1*14:01:01  Saudi Arabia pop 6 (G) 0.147028,927
 658  A*02:01:01-B*07:04-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.146223,595
 659  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.14531,510
 660  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1450356
 661  A*02:01:01-B*51:01:01-C*07:02:01-DRB1*04:05-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.144628,927
 662  A*02:01:01-B*15:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.14421,734
 663  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.14421,734
 664  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14245,266
 665  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.140423,595
 666  A*01:01:01-B*07:02:21-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 667  A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 668  A*01:01:01-B*57:01:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 669  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:02:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 670  A*02:01:01-B*07:02:21-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 671  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 672  A*02:01:01-B*40:02:01-C*07:02:01-DRB1*04:10:01-DQB1*06:15:01  India Kerala Malayalam speaking 0.1400356
 673  A*02:03:01-B*55:01:01-C*07:02:01-DRB1*14:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 674  A*02:11:01-B*35:06-C*07:02:01-DRB1*15:02:02-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 675  A*02:11:01-B*40:06:01-C*07:02:01-DRB1*14:04:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 676  A*02:11:01-B*51:01:01-C*07:02:01-DRB1*14:01:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 677  A*02:16-B*07:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 678  A*02:16-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 679  A*03:01:01-B*07:06:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 680  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 681  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*15:02:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 682  A*11:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 683  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.14001,734
 684  A*11:01:01-B*40:26-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 685  A*11:01:01-B*52:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 686  A*11:03-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 687  A*24:02:01-B*07:05:01-C*07:02:01-DRB1*07:01:01-DQB1*03:02:02  India Kerala Malayalam speaking 0.1400356
 688  A*24:02:01-B*07:05:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 689  A*24:02:01-B*39:06:02-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 690  A*24:02:01-B*52:01:02-C*07:02:01-DRB1*10:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 691  A*24:07:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 692  A*24:11N-B*51:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 693  A*30:01:01-B*07:02:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 694  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 695  A*31:01:02-B*40:01:01-C*07:02:01-DRB1*08:03:02-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 696  A*31:01:02-B*40:06:01-C*07:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 697  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 698  A*33:03:01-B*18:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 699  A*33:03:01-B*37:01:01-C*07:02:01-DRB1*10:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 700  A*33:03:01-B*58:01:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: 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).


Displaying 601 to 700 (from 2,385) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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