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 203) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 1.639361
 2  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco, Tonala 1.428635
 3  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 1.3245151
 4  A*24-B*15:05-DRB1*08-DQB1*04  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 5  A*68-B*15:05-DRB1*04-DQB1*03:02  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 6  A*11-B*15:05-DRB1*14-DQB1*05  Mexico Veracruz, Coatzacoalcos 0.892955
 7  A*31-B*15:05-DRB1*04-DQB1*03:02  Mexico Veracruz, Cordoba 0.892956
 8  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 0.8287181
 9  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Coahuila, Saltillo 0.684972
 10  A*24-B*15:05-DRB1*16-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.6623151
 11  A*02-B*15:05-DRB1*08-DQB1*04  Mexico Guanajuato Rural 0.6135162
 12  A*31-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 0.5952168
 13  A*02:01:01-B*15:05:01-C*01:02:30-DRB1*16:02:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 14  A*31:15-B*15:05:01-C*01:02:30-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 15  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Aguascalientes state 0.526395
 16  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.4854103
 17  A*01-B*15:05-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.4587216
 18  A*23-B*15:05-DRB1*04-DQB1*03:02  Mexico Nuevo Leon, Monterrey city 0.4425226
 19  A*02-B*15:05-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.4202238
 20  A*31-B*15:05-DRB1*04-DQB1*03:02  Mexico Tabasco Rural 0.3521142
 21  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Guerrero state 0.3472144
 22  A*25-B*15:05-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.3409439
 23  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 0.3289150
 24  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 0.3289150
 25  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.3247152
 26  A*11-B*15:05-DRB1*15-DQB1*06  Mexico Guanajuato Rural 0.3067162
 27  A*68-B*15:05-DRB1*16-DQB1*03:01  Mexico Guanajuato Rural 0.3067162
 28  A*23:01-B*15:05-C*03:03-DRB1*04:01-DQA1*01:04-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 29  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.2998833
 30  A*24-B*15:05-DRB1*08-DQB1*04  Mexico Jalisco, Zapopan 0.2976168
 31  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.2907171
 32  A*24-B*15:05-DRB1*16-DQB1*03:01  Mexico Veracruz, Veracruz city 0.2907171
 33  A*02:11:01-B*15:05:01-C*16:02:01-DRB1*13:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 34  A*03:01:01-B*15:05:01-C*03:03:01-DRB1*11:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 35  A*31:01:02-B*15:05:01-C*07:01:01-DRB1*15:02:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 36  A*02-B*15:05-DRB1*08-DQB1*04  Mexico Michoacan Rural 0.2865348
 37  A*02-B*15:05-DRB1*08-DQB1*04  Mexico Tlaxcala, Tlaxcala city 0.2762181
 38  A*02:11:01-B*15:05:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 39  A*11:01:01-B*15:05:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 40  A*24:02:01-B*15:05:01-C*03:03:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 41  A*31:01:02-B*15:05:01-C*03:03:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 42  A*31:01:02-B*15:05:01-C*15:02:01-DRB1*15:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 43  A*02:01-B*15:05-C*04:01-DRB1*04:06-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 44  A*02-B*15:05-DRB1*16-DQB1*03:01  Mexico Yucatan, Merida 0.2564192
 45  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.25131,189
 46  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Coahuila, Torreon 0.2500396
 47  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.2294216
 48  A*02-B*15:05-DRB1*13-DQB1*03:01  Ecuador Coast Mixed Ancestry 0.2101238
 49  A*02:11-B*15:05-C*05:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.2101714
 50  A*24-B*15:05-DRB1*16-DQB1*03:01  Mexico Oaxaca Rural 0.2053485
 51  A*31:15-B*15:05:01-C*01:02:30-DRB1*03:01:01-DQB1*03:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 52  B*15:05-C*03:03  USA Asian pop 2 0.19201,772
 53  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Zacatecas Rural 0.1859266
 54  A*02:11-B*15:05-C*03:03-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.1845271
 55  A*11:01-B*15:05-C*03:03-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 56  A*26:01-B*15:05-C*03:03-DRB1*15:01-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 57  A*29:01-B*15:05-C*03:02-DRB1*08:03-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 58  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.1807830
 59  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.1529326
 60  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.1529326
 61  A*02:01-B*15:05-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 62  A*24:02-B*15:05-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 63  A*36-B*15:05-DRB1*04:02-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 64  A*68:01-B*15:05-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 65  A*24-B*15:05-DRB1*16-DQB1*03:01  Mexico Michoacan Rural 0.1433348
 66  A*02:11-B*15:05-C*03:03-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 67  A*02:11-B*15:05-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 68  A*03:01-B*15:05-C*03:03-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*03:01  Sri Lanka Colombo 0.1401714
 69  A*24:02-B*15:05-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:02  Sri Lanka Colombo 0.1401714
 70  A*11:58-B*15:05:01-C*16:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 71  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.1328751
 72  A*03-B*15:05-DRB1*08-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.12561,189
 73  A*29-B*15:05-DRB1*08-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 74  A*24-B*15:05-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.1214824
 75  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.1205830
 76  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.1136439
 77  A*24:02-B*15:05  USA Asian pop 2 0.10401,772
 78  A*11:01-B*15:05  USA Asian pop 2 0.09501,772
 79  A*24:02-B*15:05-C*03:03-DRB1*15:02-DQB1*05:03  USA Asian pop 2 0.08901,772
 80  A*02-B*15:05-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.08531,173
 81  A*24-B*15:05-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.08531,173
 82  A*24-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.0853585
 83  A*24-B*15:05-DRB1*16-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 84  A*68-B*15:05-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.0853585
 85  A*68-B*15:05-DRB1*16-DQB1*03:01  Mexico Jalisco Rural 0.0853585
 86  A*24-B*15:05-DRB1*16-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.08381,189
 87  A*02-B*15:05-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.07521,994
 88  A*24:02-B*15:05-C*03:03-DRB1*15:02-DQB1*05:03  India UCBB_Central Indian HLA 0.07134,204
 89  A*02:01-B*15:05-C*07:04-DRB1*04:08-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 90  A*02:11-B*15:05-C*03:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 91  A*02:11-B*15:05-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 92  A*03:01-B*15:05-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 93  A*11:01-B*15:05-C*03:03-DRB1*13:01-DQA1*01:02-DQB1*05:02-DPB1*09:01  Sri Lanka Colombo 0.0700714
 94  A*11:01-B*15:05-C*03:03-DRB1*16:02-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 95  A*11:01-B*15:05-C*03:03-DRB1*16:09-DQA1*01:02-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 96  A*24:02-B*15:05-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*57:01  Sri Lanka Colombo 0.0700714
 97  A*24:02-B*15:05-C*03:03-DRB1*15:01-DQA1*06:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 98  A*26:01-B*15:05-C*03:03-DRB1*15:02-DQA1*01:03-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 99  A*32:01-B*15:05-C*03:03-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*09:01  Sri Lanka Colombo 0.0700714
 100  A*33:03-B*15:05-C*12:03-DRB1*15:02-DQA1*01:03-DQB1*02:02-DPB1*05:01  Sri Lanka Colombo 0.0700714

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 203) records   Pages: 1 2 3 of 3  


   

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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