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 136) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*39:02-C*07:02  Mexico Oaxaca Mixe 21.200055
 2  B*39:02-C*03:04  Mexico Oaxaca Mixe 17.300055
 3  A*31:01-B*39:02-DRB1*16:02  Mexico Oaxaca Mixe 10.000055
 4  A*02:06-B*39:02-DRB1*04:07  Mexico Oaxaca Mixe 9.000055
 5  B*39:02-C*07:02  Mexico Oaxaca Zapotec 8.000090
 6  A*02:01-B*39:02-DRB1*16:02  Mexico Oaxaca Mixtec 6.0000103
 7  A*02:01-B*39:02-DRB1*16:02  Mexico Oaxaca Mixe 6.000055
 8  B*39:02-C*07:02  Mexico Oaxaca Mixtec 6.0000103
 9  B*39:02-C*03:04  Mexico Oaxaca Zapotec 5.800090
 10  A*02:06-B*39:02-DRB1*04:04  Mexico Oaxaca Zapotec 4.000090
 11  A*02:06-B*39:02-DRB1*04:04  Mexico Oaxaca Mixe 4.000055
 12  A*02:06-B*39:02-DRB1*04:03  Mexico Oaxaca Mixe 3.000055
 13  A*31:01-B*39:02-DRB1*16:02  Mexico Oaxaca Zapotec 3.000090
 14  A*24:02-B*39:02-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 2.127747
 15  A*02:01:01-B*39:02:01-C*03:02:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 16  A*02:01:01-B*39:02:02-C*03:04:01-DRB1*04:11:01  Costa Rica Guanacaste Mestizo (G) 1.3636110
 17  A*02:06-B*39:02-C*03:04-DRB1*04:11-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 18  A*24:02-B*39:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 19  A*24:02-B*39:02-C*07:02-DRB1*04:11-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 20  A*68:01-B*39:02-C*07:02-DRB1*04:11-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 21  B*39:02-C*03:04  Mexico Mexico City Mestizo pop 2 1.0600234
 22  A*02:06-B*39:02-DRB1*16:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 23  B*39:02-C*07:02  Mexico Mexico City Mestizo pop 2 0.8500234
 24  A*02:01:01-B*39:02:02-C*03:04:01-DRB1*04:07  Costa Rica Amerindians (G) 0.8431125
 25  A*68:03-B*39:02-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 26  A*68:03-B*39:02-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 27  A*02:01:01-B*39:02:02-C*07:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 28  A*68:01:01-B*39:02:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 29  A*24:02:01-B*39:02:02-C*03:04:01-DRB1*04:07  Nicaragua Mestizo (G) 0.6452155
 30  A*24:02-B*39:02-DRB1*16:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 31  A*02:01-B*39:02-DRB1*04:11-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 32  A*02:01-B*39:02-DRB1*04:10  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 33  A*02:01-B*39:02-DRB1*16:02  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 34  A*24:02-B*39:02-DRB1*14:06  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 35  A*30:01-B*39:02-DRB1*03:01  Mexico Oaxaca Jamiltepec Mixtec 0.520096
 36  A*02:01:01-B*39:02:02-C*03:04:01-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.4545110
 37  A*02:01-B*39:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.4329339
 38  A*02:33-B*39:02-C*07:02-DRB1*04:07-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.4329339
 39  B*39:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4300234
 40  B*39:02-C*03:04-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4300234
 41  B*39:02-C*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4300234
 42  B*39:02-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 43  A*02:01-B*39:02-C*03:04-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 44  A*02:01-B*39:02-C*03:04-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.4274234
 45  A*68:01-B*39:02-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 46  A*02:01:01-B*39:02:02-C*03:04:01-DRB1*11:01:02  Costa Rica Amerindians (G) 0.4216125
 47  A*02:01:01-B*39:02:02-C*15:09-DRB1*04:11:01  Costa Rica Amerindians (G) 0.4216125
 48  A*02:01-B*39:02-C*07:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 49  B*39:02-C*07:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 50  A*02:01:01-B*39:02:02-C*02:02:02-DRB1*14:06:01  Nicaragua Mestizo (G) 0.3226155
 51  A*02:06:01-B*39:02:02-C*07:02:01-DRB1*04:07  Nicaragua Mestizo (G) 0.3226155
 52  A*02:33-B*39:02:02-C*07:02:01-DRB1*04:07  Nicaragua Mestizo (G) 0.3226155
 53  A*02:01-B*39:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 54  A*24:02-B*39:02-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 55  A*31:01-B*39:02-C*03:04-DRB1*14:01-DQA1*01:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.2600496
 56  A*31:01-B*39:02-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 57  A*68:05-B*39:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 58  B*39:02-C*07:02  USA Hispanic pop 2 0.21901,999
 59  A*02:01-B*39:02-C*03:04-DRB1*16:01-DQA1*01:02-DQB1*03:02-DPB1*03:01  Nicaragua Managua 0.2165339
 60  A*74:01-B*39:02-C*03:04-DRB1*13:04-DQA1*01:02-DQB1*06:02-DPB1*04:01  Nicaragua Managua 0.2165339
 61  A*11:01:01-B*39:02:02-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 62  A*68:01:02-B*39:02:02-C*03:04:01-DRB1*08:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 63  A*31:01-B*39:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Panama 0.1900462
 64  B*39:02-C*03:04  USA Hispanic pop 2 0.18301,999
 65  A*01:01-B*39:02-DRB1*04:11-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 66  A*01:01-B*39:02-DRB1*13:02-DQB1*06:04  Mexico Mexico City Tlalpan 0.1515330
 67  A*02:01-B*39:02-DRB1*04:05-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 68  A*02:01-B*39:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 69  A*02:02-B*39:02-DRB1*04:02-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 70  A*24:02-B*39:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 71  A*24:02-B*39:02-DRB1*04:01-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 72  A*24:02-B*39:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 73  A*25:01-B*39:02-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 74  A*31:01-B*39:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 75  A*33:01-B*39:02-DRB1*01:02-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 76  A*34:04-B*39:02-DRB1*01:02-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 77  A*36-B*39:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 78  A*68:01-B*39:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 79  A*68:01-B*39:02-DRB1*14:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 80  A*68:03-B*39:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 81  A*68:05-B*39:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 82  A*68:01-B*39:02  USA Hispanic pop 2 0.13901,999
 83  A*68:03-B*39:02  USA Hispanic pop 2 0.10101,999
 84  A*31:01-B*39:02-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 85  A*02:06-B*39:02-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 86  A*24:02-B*39:02-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.07003,078
 87  A*31:01-B*39:02-C*07:02-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 88  A*02:01-B*39:02-C*07:02-DRB1*14:54  Japan pop 16 0.068018,604
 89  A*31:01-B*39:02-C*07:02-DRB1*09:01  Japan pop 16 0.057018,604
 90  A*02:06-B*39:02-C*03:04-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 91  A*02:06-B*39:02-C*03:04-DRB1*04:11-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 92  A*68:01-B*39:02-C*03:04-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 93  A*68:01-B*39:02-C*07:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 94  A*31:01-B*39:02  USA Hispanic pop 2 0.04301,999
 95  A*02:06-B*39:02  USA Hispanic pop 2 0.03801,999
 96  A*02:04-B*39:02-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 97  A*02:01-B*39:02  USA Hispanic pop 2 0.03201,999
 98  A*02:01-B*39:02-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 99  A*26:01-B*39:02-C*07:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 100  A*02:06-B*39:02-C*07:02-DRB1*09:01  Japan pop 16 0.026018,604

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 136) records   Pages: 1 2 of 2  


   

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.
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