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 170) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*15:17-DRB1*13-DQB1*06  Mexico Guanajuato, Guanajuato city 2.272722
 2  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  United Arab Emirates Abu Dhabi 1.920052
 3  A*02-B*15:17-DRB1*13-DQB1*06  Mexico Baja California, La Paz 1.333375
 4  A*24-B*15:17-DRB1*13-DQB1*06  Mexico Veracruz, Poza Rica 1.111145
 5  A*68:01-B*15:17-C*03:04-DRB1*13:01-DQB1*06:04  Colombia North Chimila Amerindians 1.063847
 6  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India UCBB_Central Indian HLA 0.98054,204
 7  A*01-B*15:17-DRB1*13-DQB1*06  Mexico Mexico City South 0.961552
 8  A*33:03-B*15:17-C*07:01-DRB1*13:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 0.960052
 9  A*24-B*15:17-DRB1*13-DQB1*06  Mexico Chihuahua, Ciudad Juarez 0.9259106
 10  A*02:61-B*15:17-DRB1*13:02-DQB1*06:04  Iran Saqqez-Baneh Kurds 0.833360
 11  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.7400975
 12  A*02:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.6787221
 13  A*01-B*15:17-DRB1*13-DQB1*06  Mexico Baja California, La Paz 0.666775
 14  A*68-B*15:17-DRB1*13-DQB1*06  Mexico Baja California, La Paz 0.666775
 15  A*29-B*15:17-DRB1*13-DQB1*06  Mexico Mexico City East 0.625079
 16  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP South Asian Indian 0.5786185,391
 17  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.5620356
 18  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Malaysia Peninsular Indian 0.5535271
 19  A*01-B*15:17-DRB1*13-DQB1*06  Mexico Aguascalientes state 0.526395
 20  A*02-B*15:17-DRB1*13-DQB1*06  Mexico Aguascalientes state 0.526395
 21  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  Vietnam Kinh 0.4950101
 22  A*24:02-B*15:17-C*07:01-E*01:03:01-F*01:01:01-G*01:04-DRB1*13:02:01-DQA1*01:02-DQB1*06:04:01  Portugal Azores Terceira Island 0.4386130
 23  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Southeast Asian 0.434027,978
 24  A*02:01:01-B*15:17:01-C*07:01:02-DRB1*13:01:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 25  A*30-B*15:17-DRB1*13-DQB1*06  Mexico Tamaulipas Rural 0.3968125
 26  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.38692,492
 27  A*02-B*15:17-DRB1*13-DQB1*06  Mexico Zacatecas Rural 0.3717266
 28  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Middle Eastern or North Coast of Africa 0.359770,890
 29  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo population 0.3497143
 30  B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Mexico Mexico City Mestizo population 0.3497143
 31  A*23:01-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 0.3333150
 32  A*29-B*15:17-DRB1*13-DQB1*06  Mexico Oaxaca, Oaxaca city 0.3311151
 33  A*01-B*15:17-DRB1*13-DQB1*06  Mexico Mexico City Metropolitan Area Rural 0.3289150
 34  A*02-B*15:17-DRB1*13-DQB1*06  Mexico Mexico City Metropolitan Area Rural 0.3289150
 35  A*01-B*15:17-DRB1*13-DQB1*06  Mexico Mexico City Center 0.3247152
 36  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Asian pop 2 0.31101,772
 37  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.307714,339
 38  A*26-B*15:17-DRB1*13-DQB1*06  Mexico Durango Rural 0.3058326
 39  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.305028,927
 40  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.30401,159
 41  A*11:01:01-B*15:17:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  India Karnataka Kannada Speaking 0.2870174
 42  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.28304,856
 43  A*01:01:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  India Andhra Pradesh Telugu Speaking 0.2688186
 44  A*02:06-B*15:17-C*07:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  USA San Diego 0.2600496
 45  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*05:01  USA San Diego 0.2600496
 46  A*02-B*15:17-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.2500396
 47  A*11:01:01-B*15:17:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 48  A*03-B*15:17-DRB1*13-DQB1*06  Mexico Coahuila Rural 0.2294216
 49  A*02-B*15:17-DRB1*13-DQB1*06  Mexico Nuevo Leon Rural 0.2273439
 50  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.2262221
 51  A*03-B*15:17-DRB1*13-DQB1*06  Ecuador Coast Mixed Ancestry 0.2101238
 52  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.19604,856
 53  A*02-B*15:17-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.1820824
 54  A*24-B*15:17-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.1820824
 55  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.177528,927
 56  A*02-B*15:17-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.1706585
 57  A*24-B*15:17-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.17051,173
 58  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Malaysia Peninsular Malay 0.1577951
 59  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA NMDP Caribean Indian 0.155314,339
 60  A*02-B*15:17-DRB1*13-DQB1*06  Mexico Durango Rural 0.1529326
 61  A*02-B*15:17-DRB1*13-DQB1*06  Mexico Michoacan Rural 0.1433348
 62  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.14001,999
 63  A*03:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 64  A*23:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 65  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.14004,856
 66  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:09  Italy pop 5 0.1400975
 67  A*31:01:02-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 68  A*33:03:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 69  A*33:03-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 70  A*68:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 71  A*02-B*15:17-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.12791,173
 72  A*01-B*15:17-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 73  A*32-B*15:17-DRB1*13-DQB1*06  Mexico Coahuila, Torreon 0.1250396
 74  A*01-B*15:17-DRB1*13-DQB1*06  Mexico Puebla Rural 0.1199833
 75  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Hispanic South or Central American 0.1140146,714
 76  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*03:01  Russia Karelia 0.11011,075
 77  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.100828,927
 78  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.09761,463
 79  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Caribean Hispanic 0.0951115,374
 80  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.09401,999
 81  A*24:02-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  India UCBB_Central Indian HLA 0.09394,204
 82  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.092628,927
 83  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Mexican or Chicano 0.0911261,235
 84  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.08601,159
 85  A*31-B*15:17-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.0853585
 86  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.07904,856
 87  A*01:01-B*15:17-C*07:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.07364,204
 88  A*33:03-B*15:17-C*07:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 89  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 90  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 91  A*32:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 92  A*68-B*15:17-DRB1*13-DQB1*06  Ecuador Andes Mixed Ancestry 0.0607824
 93  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP European Caucasian 0.06011,242,890
 94  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:41  India UCBB_Central Indian HLA 0.05954,204
 95  A*24:02:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.05771,734
 96  A*68:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.05131,463
 97  A*31:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.05104,856
 98  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 99  A*24:03-B*15:17-C*07:01-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 100  A*29:02-B*15:17-C*01:02-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999

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 170) 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.
Liverpool, U.K.

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