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 100 (from 352) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*04:10-DQA1*03:01-DQB1*04:02  Canada British Columbia Athabaskan 4.000062
 2  DRB1*04:10-DQB1*04:02  USA Alaska Yupik 3.6000252
 3  A*24:02-B*27:05-DRB1*04:10-DQB1*04:02  USA Alaska Yupik 3.5000252
 4  B*27:05-DRB1*04:10  USA Alaska Yupik 2.6000252
 5  DRB1*04:10-DQA1*03:01-DQB1*04:02  Australia New South Wales Aborigine 2.4000177
 6  DRB1*04:10-DQB1*04:02  Papua New Guinea Highland 2.300094
 7  DRB1*04:10-DQB1*04:02  Japan Hokkaido Ainu 2.000050
 8  DRB1*04:10-DQB1*04:02-DPB1*03:01:01  China Lijiang Naxi 1.8000100
 9  DRB1*04:10-DQA1*03:01-DQB1*04:02  Japan pop 2 1.7000916
 10  DRB1*04:10-DQB1*04:02  Japan Central 1.6000371
 11  DRB1*04:10-DQB1*04:02  Mexico Oaxaca Mixtec 1.5000103
 12  DRB1*04:10-DQA1*03-DQB1*03:01/03:09  Russia Siberia Negidal 1.400035
 13  DRB1*04:10-DQA1*03:03-DQB1*04:02  South Korea pop 5 1.2000467
 14  DRB1*04:10-DQA1*03-DQB1*04:02  Russia Siberia Irkutsk Tofalar 1.200043
 15  DRB1*04:10-DQA1*03-DQB1*04:02  Russia Tuva pop3 1.100044
 16  A*02:01-B*35:17-C*04:01-DRB1*04:10-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 17  A*24:02-B*35:01-C*04:01-DRB1*04:10-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 18  A*31:01-B*35:01-C*04:01-DRB1*04:10-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 19  A*31:01-B*35:20-C*04:01-DRB1*04:10-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 20  A*01:01-B*51:01:01-DRB1*04:10  Bulgaria 1.000055
 21  DRB1*04:10-DQB1*03:02  Mexico Oaxaca Mixe 1.000055
 22  A*68:03-B*35:43-C*01:02-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPB1*03:01  Nicaragua Managua 0.8658339
 23  A*24-B*39-DRB1*04:10-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 24  A*02:01:01-B*40:02:01-C*04:01:01-DRB1*04:10:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 25  A*02:01-B*39:02-DRB1*04:10  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 26  A*02:01:01-B*18:01:01-C*04:01:01-DRB1*04:10:01  Costa Rica African -Caribbean (G) 0.4902102
 27  A*02:06:01-B*35:12:01-C*04:01:01-DRB1*04:10:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 28  A*02:22:01-B*39:11-C*07:02:01-DRB1*04:10:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 29  A*03:01:01-B*35:20:01-C*08:02:01-DRB1*04:10:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 30  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:10:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.4210356
 31  A*66:01:01-B*39:10:01-C*12:03:01-DRB1*04:10:01-DQB1*03:03:02-DPB1*01:01:01  South African Black 0.3520142
 32  A*02:01-B*40:20-C*03:04-DRB1*04:10-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 33  B*40:20-C*03:04-DRB1*04:10-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 34  DRB1*04:10-DQB1*04:02  Mexico Mexico City Mestizo population 0.3497143
 35  A*24-B*51-C*14:02-DRB1*04:10-DQB1*04  Russia Transbaikal Territory Buryats 0.3340150
 36  A*68:01-B*40:02-C*03:02-DRB1*04:10-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 0.3333150
 37  A*26:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.33003,078
 38  DRB1*04:10-DQB1*04:02  USA Hispanic pop 2 0.32401,999
 39  A*02:01:01-B*45:01-C*16:01:01-DRB1*04:10:01  Nicaragua Mestizo (G) 0.3226155
 40  A*24:02:01-B*35:12:01-C*04:01:01-DRB1*04:10:01  Nicaragua Mestizo (G) 0.3226155
 41  A*29:02:01-B*44:02:01-C*05:01:01-DRB1*04:10:01  Nicaragua Mestizo (G) 0.3226155
 42  A*31:01:02-B*35:20:01-C*04:01:01-DRB1*04:10:01  Nicaragua Mestizo (G) 0.3226155
 43  A*31:01:02-B*40:11:01-C*03:04:01-DRB1*04:10:01  Nicaragua Mestizo (G) 0.3226155
 44  A*32:01:01-B*15:15-C*01:02:01-DRB1*04:10:01  Nicaragua Mestizo (G) 0.3226155
 45  A*68:01:02-B*52:01:02-C*03:03:01-DRB1*04:10:01  Nicaragua Mestizo (G) 0.3226155
 46  A*68:03:01-B*35:17:01-C*03:03:01-DRB1*04:10:01  Nicaragua Mestizo (G) 0.3226155
 47  DRB1*04:10-DQB1*04:02  USA Asian pop 2 0.30901,772
 48  A*26:01-B*35:01-C*03:03-DRB1*04:10  Japan pop 16 0.302018,604
 49  A*11:01:01-B*07:06:01-C*07:02:01-DRB1*04:10:01-DQB1*04:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 50  A*24:02:13-B*07:06:01-C*07:02:01-DRB1*04:10:01-DQB1*04:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 51  A*24:17-B*15:18:01-C*07:04:01-DRB1*04:10:01-DQB1*04:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 52  A*24:02-B*39:05-C*07:02-DRB1*04:10-DQA1*03:01-DQB1*03:03-DPA1*02:01-DPB1*14:01  Mexico Chiapas Lacandon Mayans 0.2294218
 53  A*02:01:01-B*39:08-C*07:02:01-DRB1*04:10:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 54  A*24:02:01-B*39:08-C*07:02:01-DRB1*04:10:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 55  DRB1*04:10-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.2200234
 56  DRB1*04:10-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.2200234
 57  A*02:05-B*41:01-C*07:01-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.2165339
 58  A*02:06-B*15:17-C*07:01-DRB1*04:10-DQA1*01:02-DQB1*06:04-DPB1*05:01  Nicaragua Managua 0.2165339
 59  A*02:06-B*35:12-C*04:01-DRB1*04:10-DQA1*03:01-DQB1*03:02-DPB1*03:01  Nicaragua Managua 0.2165339
 60  A*02:22-B*48:01-C*07:02-DRB1*04:10-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 61  A*24:02-B*14:01-C*04:113-DRB1*04:10-DQA1*03:01-DQB1*02:02-DPB1*04:02  Nicaragua Managua 0.2165339
 62  A*29:02-B*15:10-C*03:04-DRB1*04:10-DQA1*05:01-DQB1*02:01-DPB1*04:01  Nicaragua Managua 0.2165339
 63  A*31:01-B*35:20-C*04:01-DRB1*04:10-DQA1*03:01-DQB1*03:02-DPB1*03:01  Nicaragua Managua 0.2165339
 64  A*68:03-B*35:43-C*01:02-DRB1*04:10-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.2165339
 65  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*04:10:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 66  A*24:25-B*40:02-C*04:01-DRB1*04:10-DQB1*03:02-DPB1*14:01  Panama 0.1900462
 67  A*31:01-B*39:08-C*04:01-DRB1*04:10-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 68  A*68:01-B*40:02-C*03:05-DRB1*04:10-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 69  A*02:11-B*40:06-C*15:02-DRB1*04:10-DQB1*04:02  Malaysia Peninsular Indian 0.1845271
 70  A*24:02-B*57:01-C*06:02-DRB1*04:10-DQB1*04:02  Malaysia Peninsular Indian 0.1845271
 71  A*26:01-B*55:01-C*14:02-DRB1*04:10-DQB1*04:02  Malaysia Peninsular Indian 0.1845271
 72  A*31:01-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02  Malaysia Peninsular Indian 0.1845271
 73  A*33:01-B*35:01-C*04:01-DRB1*04:10-DQB1*04:02  Malaysia Peninsular Indian 0.1845271
 74  A*02:01-B*35:01-C*03:03-DRB1*04:10  Japan pop 16 0.177018,604
 75  A*02:14-B*18:03-C*04:01-DRB1*04:10-DQB1*05:01-DPB1*105:01  Tanzania Maasai 0.1597336
 76  A*29:02-B*18:01-C*17:01-DRB1*04:10-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 77  A*01:01-B*14:02-DRB1*04:10-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 78  A*31:01-B*35:01-DRB1*04:10-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 79  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
 80  A*32:01:01-B*40:06:01-C*03:02:02-DRB1*04:10:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 81  A*02:01-B*39:11-C*07:02-DRB1*04:10-DQB1*04:02  Colombia Bogotá Cord Blood 0.13671,463
 82  A*24:02-B*40:02-C*03:04-DRB1*04:10  Japan pop 16 0.120018,604
 83  DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.1200833
 84  A*24:02-B*39:06-C*07:02-DRB1*04:10-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 85  A*31:01-B*40:02-C*03:04-DRB1*04:10  Japan pop 16 0.094018,604
 86  DRB1*04:10-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 87  A*02-B*35-DRB1*04:10-DQA1*03:01-DQB1*03:02  Brazil Paraná Caucasian 0.0780641
 88  A*02:16-B*08:01-C*07:02-DRB1*04:10-DQA1*01:01-DQB1*04:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 89  A*11:01-B*51:01-C*15:02-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 90  A*24:02-B*40:06-C*15:02-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 91  A*02:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.07003,078
 92  A*02:01-B*39:01-C*07:02-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.07003,078
 93  A*02:01-B*40:02-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 94  A*02:06-B*40:02-C*03:04-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 95  A*11:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.07003,078
 96  A*24:02-B*07:02-C*07:02-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.07003,078
 97  A*26:01-B*35:01-C*03:03-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 98  A*02:06-B*40:02-C*03:04-DRB1*04:10  Japan pop 16 0.068018,604
 99  A*26:01-B*40:02-C*03:04-DRB1*04:10  Japan pop 16 0.068018,604
 100  DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.0600833

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 1 to 100 (from 352) records   Pages: 1 2 3 4 of 4  


   

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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