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 80 (from 80) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:05:01-B*58:01:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 2.4650142
 2  B*58:01-C*07:18  Uganda Kampala pop 2 2.3000175
 3  A*01:01:01-B*44:02:01-C*07:18:01-DRB1*13:03:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 4  A*23:01:01-B*58:01:01-C*07:18:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 5  A*24:02:01-B*58:01:01-C*07:18:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5883170
 6  A*30:02:01-B*08:01:01-C*07:18:01-DRB1*15:02:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 7  A*30:02:01-B*53:01:01-C*07:18:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 8  A*66:02-B*58:01:01-C*07:18:01-DRB1*15:03:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 9  A*68:01:02-B*58:01:01-C*07:18:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 10  A*01:01-B*58:01-C*07:18  Italy pop 5 0.5300975
 11  A*31:01:02:01-B*44:02:01:01-C*07:18-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.5208192
 12  B*58:01-C*07:18  Italy pop 5 0.3900975
 13  A*02:01:01-B*08:01:01-C*07:18-DRB1*10:01:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 14  A*29:11-B*58:01:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 15  A*30:01:01-B*15:03:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 16  A*30:01:01-B*58:01:01-C*07:18-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.3520142
 17  A*02:01:01-B*58:01:01-C*07:18:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 18  A*02:01:01-B*58:01:01-C*07:18:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 19  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
 20  A*02:05:01-B*58:01:01-C*07:18:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 21  A*11:01:01-B*58:01:01-C*07:18:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 22  A*24:02:01-B*58:01:01-C*07:18:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 23  A*01:01-B*58:01-C*07:18-DRB1*03:01-DQB1*02:01  Italy pop 5 0.2900975
 24  A*02:05:01-B*58:01:01-C*07:18  England Blood Donors of Mixed Ethnicity 0.2890519
 25  A*01:01-C*07:18  Italy pop 5 0.2800975
 26  A*01:01:01:01-B*58:01:01-C*07:18-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 27  A*31:01:02:01-B*58:01:01-C*07:18-DRB1*04:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 28  A*02:05-C*07:18  Italy pop 5 0.2000975
 29  A*01:01:01-B*38:01:01-C*07:18:01-DRB1*13:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 30  A*01:01:01-B*58:01:01-C*07:18:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 31  A*01:01:01-B*58:01:01-C*07:18:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 32  A*01:01:01-B*58:01:01-C*07:18:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 33  A*02:01:01-B*48:01:01-C*07:18:01-DRB1*03:01:01-DQB1*03:19:01-DPA1*02:01:08-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 34  A*02:01:01-B*58:01:01-C*07:18:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 35  A*02:02:01-B*15:16:01-C*07:18:01-DRB1*03:02:01-DQB1*02:02:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 36  A*29:02:01-B*58:01:01-C*07:18:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 37  A*02:05-B*58:01-C*07:18  Italy pop 5 0.1800975
 38  A*01:01-B*08:01-C*07:181-DRB1*03:01-DQB1*05:01-DPB1*233:01  Tanzania Maasai 0.1597336
 39  A*01:01-B*08:01-C*07:181-DRB1*13:02-DQB1*06:09-DPB1*04:01  Tanzania Maasai 0.1597336
 40  A*01:01-B*57:03-C*07:181-DRB1*04:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.1597336
 41  A*01:03-B*18:06-C*07:181-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.1597336
 42  A*01:03-B*53:01-C*07:181-DRB1*11:01-DQB1*02:01-DPB1*17:01  Tanzania Maasai 0.1597336
 43  A*03:01-B*53:01-C*07:18-DRB1*13:02-DQB1*06:04-DPB1*04:02  Tanzania Maasai 0.1597336
 44  A*01:01-B*58:01-C*07:18-DRB1*11:01-DQB1*06:04  Italy pop 5 0.1400975
 45  A*02:05-B*08:01-C*07:18-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 46  A*02:05-B*58:01-C*07:18-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 47  A*02:05-B*58:01-C*07:18-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 48  A*23:01-B*58:01-C*07:18-DRB1*13:02-DQB1*04:02  Italy pop 5 0.1400975
 49  A*26:01-B*58:01-C*07:18-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 50  A*31:01-B*51:01-C*07:18-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 51  A*01:01-B*58:01-C*07:18-DRB1*07:01  Italy pop 5 0.1300975
 52  A*01:01-B*51:01-C*07:18-DRB1*13:01  Italy pop 5 0.1000975
 53  A*02:05-B*58:01-C*07:18-DRB1*03:01  Italy pop 5 0.1000975
 54  A*23:01-B*58:01-C*07:18-DRB1*13:02  Italy pop 5 0.1000975
 55  A*24:02-B*58:01-C*07:18-DRB1*08:02  Italy pop 5 0.1000975
 56  A*25:01-B*56:01-C*07:18-DRB1*08:01  Italy pop 5 0.1000975
 57  A*26:01-B*58:01-C*07:18-DRB1*13:02  Italy pop 5 0.1000975
 58  A*01:01:01-B*58:01:01-C*07:18  England Blood Donors of Mixed Ethnicity 0.0963519
 59  A*02:01:01-B*58:01:01-C*07:18  England Blood Donors of Mixed Ethnicity 0.0963519
 60  A*29:02:01-B*58:01:01-C*07:18  England Blood Donors of Mixed Ethnicity 0.0963519
 61  A*32:01:01-B*58:01:01-C*07:18  England Blood Donors of Mixed Ethnicity 0.0963519
 62  A*01:01-B*58:01-C*07:18-DRB1*03:01  Italy pop 5 0.0900975
 63  A*02:05-B*08:01-C*07:18  Italy pop 5 0.0900975
 64  A*02:05-B*08:01-C*07:18-DRB1*03:01  Italy pop 5 0.0900975
 65  A*25:01-B*58:01-C*07:18  Italy pop 5 0.0900975
 66  A*26:01-B*58:01-C*07:18  Italy pop 5 0.0900975
 67  A*23:01-C*07:18  Italy pop 5 0.0800975
 68  A*30:02-C*07:18  Italy pop 5 0.0800975
 69  B*08:01-C*07:18  Italy pop 5 0.0700975
 70  B*18:01-C*07:18  Italy pop 5 0.0700975
 71  B*51:01-C*07:18  Italy pop 5 0.0700975
 72  A*32:01-B*58:01-C*07:18-DRB1*07:01  Italy pop 5 0.0600975
 73  A*02:01-B*57:02-C*07:18-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 74  A*02:05-B*58:01-C*07:18-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 75  A*01:01:01:01-B*58:01:01-C*07:18-DRB1*13:05:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 76  A*24:02:01:01-B*58:01:01-C*07:18-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 77  A*24:02:01-B*58:01:01-C*07:18:01-DRB1*13:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 78  A*02:05:01-B*58:01:01-C*07:18:01-DRB1*13:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00565,266
 79  A*23:01:01-B*58:01:01-C*07:18:01-DRB1*15:01:01-DPB1*01:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00475,266
 80  A*01:01-B*08:01-C*07:18-DRB1*03:01  Italy pop 5 0.0000000975

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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