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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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 282) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68-B*51-DRB1*01-DQB1*05  Mexico Morelos Rural 3.333330
 2  A*02-B*51-DRB1*01-DQB1*05  Mexico Chiapas, Tuxtla Gutierrez 1.886852
 3  A*03:01:01:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 1.6667120
 4  A*03:01:01-B*51:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 5  A*02:01-B*51:01-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 1.136488
 6  A*31:01:02-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 1.1240356
 7  A*03:01-B*51:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  United Arab Emirates Abu Dhabi 0.960052
 8  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.7760174
 9  A*01:01:01-B*51:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 10  A*02-B*51-C*14-DRB1*01-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 11  A*68-B*51-C*08-DRB1*01-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 12  B*51-C*08-DRB1*01-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 13  B*51-C*14-DRB1*01-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 14  A*68-B*51-DRB1*01-DQB1*05  Mexico Tabasco, Villahermosa 0.609882
 15  A*68-B*51-DRB1*01-DQB1*05  Mexico San Luis Potosi Rural 0.574787
 16  A*11:01-B*51:01-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 17  A*11:01-B*51:01-DRB1*01:02-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 18  A*31:01-B*51:01-DRB1*01:01-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 19  A*31:01-B*51:01-C*16:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.5602714
 20  A*02:01:01:01-B*51:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 21  A*02-B*51-DRB1*01-DQB1*05  Mexico Zacatecas, Fresnillo 0.4762103
 22  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 23  A*02-B*51-DRB1*01-DQB1*05  Mexico Chihuahua, Ciudad Juarez 0.4630106
 24  A*02:01-B*51:01-C*15:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*01:02-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 25  A*23:01-B*51:01-C*15:02-E*01:01:01-F*01:03:01-G*01:03-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 26  A*25:01-B*51:32-C*12:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 27  A*02-B*51-DRB1*01-DQB1*05  Mexico Michoacan Rural 0.4298348
 28  A*02:01:01-B*51:01:01-C*08:02:01:01-DRB1*01:02:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 29  A*26:01:01-B*51:01:01-C*03:03:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 30  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 31  A*32:01-B*51:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 32  A*01-B*51-DRB1*01-DQB1*05  Mexico Tamaulipas Rural 0.3968125
 33  A*33:03:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.3740174
 34  A*68-B*51-DRB1*01:03-DQB1*05  Mexico Yucatan Rural 0.3731132
 35  A*03-B*51-C*15:02-DRB1*01:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 36  A*02-B*51-DRB1*01-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 37  A*31-B*51-DRB1*01-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 38  A*02-B*51-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.3254641
 39  A*23-B*51-DRB1*01-DQB1*05  Mexico Mexico City Center 0.3247152
 40  A*02:01-B*51:01-C*02:02-DRB1*01:01-DQB1*05:01  Italy pop 5 0.3000975
 41  A*32-B*51-DRB1*01-DQB1*05  Mexico Jalisco, Zapopan 0.2976168
 42  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 43  A*33:03:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 44  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 45  A*02:01:01:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:04  Russia Bashkortostan, Tatars 0.2604192
 46  A*03:01-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 47  A*11:01-B*51:01-C*15:02-DRB1*01:01-DQA1*01:02-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 48  A*24:02-B*51:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  USA San Diego 0.2600496
 49  A*32:03-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 50  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 51  A*11-B*51-DRB1*01-DQB1*05  Ecuador Coast Mixed Ancestry 0.2101238
 52  A*11-B*51-DRB1*01-DQB1*05  Mexico Chihuahua Rural 0.2092236
 53  A*02:01-B*51:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 54  A*02:01-B*51:01-C*15:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 55  A*11:01-B*51:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 56  A*11:01-B*51:01-C*15:02-DRB1*01:03-DQB1*05:01:01  England North West 0.2000298
 57  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*01:77-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 58  A*26:01:01-B*51:07:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 59  A*32-B*51-DRB1*01:03-DQB1*05  Mexico Zacatecas Rural 0.1859266
 60  A*01:26-B*51:43-C*16:02-DRB1*01:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 61  A*11:01-B*51:01-C*16:02-DRB1*01:07-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 62  A*32:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 63  A*68:01-B*51:01-C*07:01-DRB1*01:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 64  A*11-B*51-DRB1*01:03-DQB1*05  Mexico Jalisco Rural 0.1706585
 65  A*32-B*51-DRB1*01-DQB1*05  Mexico Jalisco Rural 0.1706585
 66  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.168028,927
 67  A*23:01-B*51:01-C*16:46-DRB1*01:02-DQB1*05:01-DPB1*17:01  Tanzania Maasai 0.1597336
 68  A*01-B*51-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 69  A*29:01-B*51:01-DRB1*01:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 70  A*32-B*51-DRB1*01-DQB1*05  Mexico Michoacan Rural 0.1433348
 71  A*24:02-B*51:01-C*14:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 72  A*02:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.14001,999
 73  A*11:01:01-B*51:01:01-C*12:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 74  A*29:02-B*51:01-C*02:02-DRB1*01:01-DQB1*05:01  Italy pop 5 0.1400975
 75  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 76  A*03-B*51-C*15-DRB1*01-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.13501,743
 77  A*02-B*51-DRB1*01-DQB1*05  Mexico Puebla, Puebla city 0.12531,994
 78  A*02-B*51-DRB1*01-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 79  A*02-B*51-DRB1*01:03-DQB1*05  Ecuador Andes Mixed Ancestry 0.1214824
 80  A*31:01-B*51:01-C*16:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.11752,492
 81  A*24-B*51-DRB1*01-DQB1*05  Mexico Oaxaca Rural 0.1027485
 82  A*01-B*51-DRB1*01-DQB1*05  Mexico Veracruz Rural 0.0924539
 83  A*31:01-B*51:01-C*16:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.08901,772
 84  A*32:01:01-B*51:07:01-C*14:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.08651,734
 85  A*68:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.08601,159
 86  A*02-B*51-DRB1*01:03-DQB1*05  Ecuador Mixed Ancestry 0.08531,173
 87  A*03-B*51-C*01-DRB1*01-DQB1*05-DPB1*03  Norway ethnic Norwegians 0.08004,510
 88  A*02-B*51-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 89  A*26:01-B*51:01-C*16:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.07752,492
 90  A*02:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.07404,856
 91  A*24:02-B*51:01-C*06:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Sri Lanka Colombo 0.0700714
 92  A*31:01-B*51:01-C*16:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*26:01  Sri Lanka Colombo 0.0700714
 93  A*68:01-B*51:01-C*07:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 94  A*68:01-B*51:01-C*15:07-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 95  A*02:01-B*51:01-C*02:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.06841,463
 96  A*02:01-B*51:01-C*14:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 97  A*03:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 98  A*26:01-B*51:07-C*14:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 99  A*02-B*51-DRB1*01-DQB1*05  Mexico Mexico City North 0.0664751
 100  A*66-B*51-DRB1*01-DQB1*05  Mexico Mexico City North 0.0664751

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 282) 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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