Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Displaying 1 to 69 (from 69) 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*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
 4  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
 5  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
 6  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
 7  A*01:01-B*58:01-C*07:18  Italy pop 5 0.5300975
 8  B*58:01-C*07:18  Italy pop 5 0.3900975
 9  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
 10  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
 11  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
 12  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
 13  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
 14  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
 15  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
 16  A*01:01-B*58:01-C*07:18-DRB1*03:01-DQB1*02:01  Italy pop 5 0.2900975
 17  A*02:05:01-B*58:01:01-C*07:18  England Blood Donors of Mixed Ethnicity 0.2890519
 18  A*01:01:01:01-B*58:01:01-C*07:18-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 19  A*31:01:02:01-B*58:01:01-C*07:18-DRB1*04:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 20  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
 21  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
 22  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
 23  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
 24  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
 25  A*02:05-B*58:01-C*07:18  Italy pop 5 0.1800975
 26  A*01:01-B*58:01-C*07:18-DRB1*11:01-DQB1*06:04  Italy pop 5 0.1400975
 27  A*02:05-B*58:01-C*07:18-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 28  A*02:05-B*58:01-C*07:18-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 29  A*23:01-B*58:01-C*07:18-DRB1*13:02-DQB1*04:02  Italy pop 5 0.1400975
 30  A*26:01-B*58:01-C*07:18-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 31  A*01:01-B*58:01-C*07:18-DRB1*07:01  Italy pop 5 0.1300975
 32  A*29:02-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India Central UCBB 0.11894,204
 33  A*29:02-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India North UCBB 0.11115,849
 34  A*02:05-B*58:01-C*07:18-DRB1*03:01  Italy pop 5 0.1000975
 35  A*23:01-B*58:01-C*07:18-DRB1*13:02  Italy pop 5 0.1000975
 36  A*24:02-B*58:01-C*07:18-DRB1*08:02  Italy pop 5 0.1000975
 37  A*26:01-B*58:01-C*07:18-DRB1*13:02  Italy pop 5 0.1000975
 38  A*01:01:01-B*58:01:01-C*07:18  England Blood Donors of Mixed Ethnicity 0.0963519
 39  A*02:01:01-B*58:01:01-C*07:18  England Blood Donors of Mixed Ethnicity 0.0963519
 40  A*29:02:01-B*58:01:01-C*07:18  England Blood Donors of Mixed Ethnicity 0.0963519
 41  A*32:01:01-B*58:01:01-C*07:18  England Blood Donors of Mixed Ethnicity 0.0963519
 42  A*01:01-B*58:01-C*07:18-DRB1*03:01  Italy pop 5 0.0900975
 43  A*25:01-B*58:01-C*07:18  Italy pop 5 0.0900975
 44  A*26:01-B*58:01-C*07:18  Italy pop 5 0.0900975
 45  A*32:01-B*58:01-C*07:18-DRB1*07:01  Italy pop 5 0.0600975
 46  A*29:02-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India East UCBB 0.04162,403
 47  A*02:05-B*58:01-C*07:18-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 48  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
 49  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
 50  A*29:02-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India West UCBB 0.01725,829
 51  A*02:01-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India North UCBB 0.01715,849
 52  A*24:07-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India South UCBB 0.013111,446
 53  A*02:11-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India Central UCBB 0.01194,204
 54  A*24:02-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India Central UCBB 0.01194,204
 55  A*24:02-B*58:01-C*07:18-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 56  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
 57  A*01:01-B*58:01-C*07:18-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 58  A*24:02-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India West UCBB 0.00865,829
 59  A*29:02-B*58:01-C*07:18-DRB1*07:01-DQB1*02:02  India North UCBB 0.00865,849
 60  A*29:02-B*58:01-C*07:18-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 61  A*32:01-B*58:01-C*07:18-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 62  A*11:01-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India North UCBB 0.00855,849
 63  A*24:02-B*58:01-C*07:18-DRB1*15:01-DQB1*06:01  India North UCBB 0.00855,849
 64  A*29:02-B*58:01-C*07:18-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 65  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
 66  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
 67  A*02:03-B*58:01-C*07:18-DRB1*08:04-DQB1*04:02  India South UCBB 0.004411,446
 68  A*24:07-B*58:01-C*07:18-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 69  A*68:01-B*58:01-C*07:18-DRB1*15:02-DQB1*05:01  India South UCBB 0.004411,446

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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