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 1 to 96 (from 96) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*02:02:02-DPB1*05:01  Samoa pop2 56.000050
 2  DPA1*02:02:02-DPB1*05:01  Tonga 51.000050
 3  DPA1*02:02:02-DPB1*05:01  Cook Islands 44.000050
 4  DPA1*02:02:02-DPB1*05:01  Japan Fukuoka 38.400086
 5  DPA1*02:02:02-DPB1*05:01  Tokelau 26.000050
 6  DPA1*02:02:02-DPB1*01:01:01  Uganda Baganda 16.000047
 7  DPA1*02:02:02-DPB1*05:01  Papua New Guinea Highland pop2 15.400028
 8  DPA1*02:02:02-DPB1*01:01:01  Ecuador African 13.800058
 9  DPA1*02:02:02-DPB1*01:01:01  Gambia 11.0000146
 10  DPA1*02:02:02-DPB1*01:01:01  Cameroon Saa 9.6000172
 11  DPA1*02:02:02-DPB1*05:01  Russia Tuva pop 2 6.2000169
 12  DPA1*02:02:02-DPB1*01:01:01  India Bombay 4.200059
 13  DPA1*02:02:02-DPB1*02:01  Japan Fukuoka 3.500086
 14  DPA1*02:02:02-DPB1*02:02  Japan Fukuoka 2.900086
 15  DPA1*02:02:02-DPB1*05:01  France Ceph 2.8000124
 16  A*02:01:01-B*81:01:01-C*08:04:01-DRB1*11:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 17  A*03:01:01-B*07:02:01-C*06:02:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 18  DPA1*02:02:02-DPB1*31:01  Tonga 2.000050
 19  DPA1*02:02:02-DPB1*02:01  India Bombay 1.700059
 20  A*01:01:01-B*42:01:01-C*12:03:01-DRB1*03:01:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 21  A*02:01:01-B*44:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Black 1.470668
 22  A*23:01:01-B*42:01:01-C*02:10:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 23  A*23:01:01-B*42:01:01-C*08:02:01-DRB1*04:05:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*104:01:01  Brazil Rio de Janeiro Black 1.470668
 24  A*23:01:01-B*50:01:01-C*02:10:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 25  A*24:02:01-B*50:01:01-C*15:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 26  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 27  A*30:02:01-B*08:01:01-C*07:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 28  A*36:01-B*53:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*02:01:19  Brazil Rio de Janeiro Black 1.470668
 29  A*74:01:01-B*42:01:01-C*17:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 30  DPA1*02:02:02-DPB1*03:01  Japan Fukuoka 1.200086
 31  DPA1*02:02:02-DPB1*14:01  Japan Fukuoka 1.200086
 32  DPA1*02:02:02-DPB1*29:01  Samoa pop2 1.000050
 33  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:07:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 34  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*11:01:01-DQB1*06:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 35  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 36  A*02:01:01-B*15:04:01-C*02:10:01-DRB1*14:54:01-DQB1*06:04:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 37  A*02:01:01-B*35:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 38  A*02:01:01-B*42:01:01-C*16:01:01-DRB1*07:01:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 39  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Parda 0.5882170
 40  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 41  A*03:01:01-B*39:10:01-C*15:02:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 42  A*11:01:01-B*27:02:01-C*02:02:02-DRB1*08:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 43  A*23:01:01-B*14:02:01-C*08:02:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 44  A*26:01:01-B*15:10:01-C*03:04:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 45  A*26:01:01-B*51:01:01-C*07:06:01-DRB1*14:54:01-DQB1*03:02:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 46  A*30:01:01-B*44:03:01-C*17:01:01-DRB1*13:02:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 47  A*30:02:01-B*35:01:01-C*17:01:01-DRB1*04:03:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 48  A*30:02:01-B*53:01:01-C*04:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 49  A*33:01:01-B*15:03:01-C*03:03:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 50  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*02:02:02-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 51  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*09:01:02-DQA1*03:02:01-DQB1*03:03:02-DPA1*02:02:02-DPB1*05:01:01  Russian Federation Vologda Region 0.4202119
 52  A*03:01:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DQA1*01:03:01-DQB1*06:01:01-DPA1*02:02:02-DPB1*02:02  Russian Federation Vologda Region 0.4202119
 53  A*68:01:02-B*18:01:01-C*07:04:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*02:02:02-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 54  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 55  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQA1*01:03:01-DQB1*02:02-DPA1*02:02:02-DPB1*104:01:01  Russia Belgorod region 0.3268153
 56  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:02:02-DPB1*05:01  Russia Belgorod region 0.3268153
 57  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*13:01-DQA1*05:01:01-DQB1*06:03-DPA1*02:02:02-DPB1*05:01:01  Russia Belgorod region 0.3268153
 58  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:02:02-DPB1*05:01  Russia Belgorod region 0.3268153
 59  A*02:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:02:02-DPB1*04:01:01  Russia Belgorod region 0.3268153
 60  A*23:01:01-B*49:01:01-C*16:01:01-DRB1*11:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*02:02:02-DPB1*02:01:02  Russia Belgorod region 0.3268153
 61  A*26:01:01-B*40:02:01-C*12:03:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*02:02:02-DPB1*06:01  Russia Belgorod region 0.3268153
 62  A*01:01:01-B*18:01:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 63  A*02:01:01-B*44:05:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*350:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 64  A*02:01:01-B*45:01:01-C*16:01:01-DRB1*14:54:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 65  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 66  A*02:02:01-B*53:01:01-C*07:18:01-DRB1*03:01:01-DQB1*06:04:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 67  A*03:01:01-B*18:01:01-C*07:02:01-DRB1*15:03:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 68  A*11:01:01-B*18:01:01-C*12:03:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*02:02:02-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 69  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*03:04:01-DPA1*02:02:02-DPB1*158:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 70  A*25:01:01-B*15:01:01-C*03:03:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 71  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 72  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 73  A*68:02:01-B*81:01:01-C*18:01:01-DRB1*11:01:02-DQB1*03:19:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 74  A*01:01:01-B*51:01:01-C*03:04:01-DRB1*13:02:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 75  A*01:02-B*42:01:01-C*17:01:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 76  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 77  A*02:01:01-B*15:03:01-C*02:10:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 78  A*02:01:01-B*57:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 79  A*02:20:01-B*35:20:01-C*04:01:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 80  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
 81  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
 82  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
 83  A*23:01:01-B*14:02:01-C*06:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 84  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
 85  A*24:02:01-B*15:17:01-C*12:03:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*02:02:02-DPB1*02:01:19  Brazil Rio de Janeiro Caucasian 0.1946521
 86  A*24:02:01-B*55:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 87  A*30:01:01-B*42:02:01-C*17:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 88  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*01:02:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 89  A*33:03:01-B*50:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 90  A*33:03:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 91  A*34:02:01-B*13:02:01-C*04:01:01-DRB1*13:02:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 92  A*36:01-B*27:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 93  A*66:01:01-B*53:01:01-C*06:02:01-DRB1*16:02:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 94  A*68:01:01-B*51:75-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:02:02-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 95  A*68:01:02-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 96  A*68:02:01-B*57:03:01-C*18:02:01-DRB1*08:04:01-DQB1*03:01:04-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521

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).




   

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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