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 119) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24-B*07-DRB1*16-DQB1*05  Mexico Veracruz, Coatzacoalcos 3.571455
 2  A*02-B*07-DRB1*16-DQB1*05  Mexico Baja California, Tijuana 2.000025
 3  A*01-B*07-DRB1*16-DQB1*05  Mexico Colima, Colima city 1.639361
 4  A*31-B*07-DRB1*16:01-DQB1*05:02  Bolivia Quechua 0.720069
 5  A*03-B*07-DRB1*16-DQB1*05  Mexico Zacatecas, Zacatecas city 0.595284
 6  A*03-B*07-DRB1*16-DQB1*05  Mexico Zacatecas Rural 0.5576266
 7  A*01:01-B*07:02-DRB1*16:01-DQB1*05:01  Iran Tabriz Azeris 0.515597
 8  A*26-B*07-DRB1*16-DQB1*05  Mexico Nayarit, Tepic 0.515597
 9  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 10  A*02:01:01-B*07:02:01-C*02:02:02-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 11  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 12  A*01-B*07-DRB1*16-DQB1*05  Iraq Arabs 0.3400149
 13  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 14  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 15  A*29-B*07-DRB1*16-DQB1*05  Mexico Mexico City Center 0.3247152
 16  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 17  A*32:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Italy pop 5 0.2900975
 18  A*68-B*07-DRB1*16-DQB1*05  Mexico Sinaloa Rural 0.2732183
 19  A*02-B*07-DRB1*16-DQB1*05  Mexico Sonora Rural 0.2538197
 20  A*26-B*07-DRB1*16-DQB1*05  Mexico Puebla Rural 0.2398833
 21  A*03-B*07-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.2340641
 22  A*02:02:01-B*07:20-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*02-B*07-DRB1*16-DQB1*05  Mexico Zacatecas Rural 0.1859266
 24  A*01:01-B*07:02-C*04:03-DRB1*16:02-DQB1*05:02  India Northeast UCBB 0.1689296
 25  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.14531,510
 26  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.140423,595
 27  A*03-B*07-DRB1*16-DQB1*05  Mexico Nuevo Leon Rural 0.1136439
 28  A*02:01-B*07:02-C*08:01-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 29  A*03:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  USA Hispanic pop 2 0.09401,999
 30  A*03:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.09204,856
 31  A*02:05-B*07:02-C*07:02-DRB1*16:02-DQB1*05:02  USA African American pop 4 0.08702,411
 32  A*02-B*07-DRB1*16-DQB1*05  Mexico Jalisco Rural 0.0853585
 33  A*26-B*07-DRB1*16-DQB1*05  Mexico Jalisco Rural 0.0853585
 34  A*32:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.07801,159
 35  A*36-B*07-DRB1*16:02-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 36  A*66-B*07-DRB1*16:01-DQA1*01:02-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 37  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.07291,510
 38  A*24:02-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Colombia Bogotá Cord Blood 0.06841,463
 39  A*03:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 40  A*29:01-B*07:05-C*15:05-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 41  A*31:01:02:01-B*07:02:01-C*07:02:01:03-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.06781,510
 42  A*03:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02-DPB1*03:01  Russia Karelia 0.06451,075
 43  A*03-B*07-DRB1*16-DQB1*05  Ecuador Andes Mixed Ancestry 0.0607824
 44  A*03:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02-DPB1*04:02  Russia Karelia 0.05661,075
 45  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.053423,595
 46  A*24:07-B*07:05-C*01:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 47  A*68-B*07-DRB1*16-DQB1*05  Mexico Puebla, Puebla city 0.05011,994
 48  A*02:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.04704,856
 49  A*02:06-B*07:05-C*15:05-DRB1*16:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 50  A*23:01-B*07:02-C*07:02-DRB1*16:02-DQB1*05:02  USA African American pop 4 0.04402,411
 51  A*26:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  USA African American pop 4 0.04402,411
 52  A*11:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.04301,159
 53  A*24:02-B*07:02-C*14:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.04301,159
 54  A*25:01-B*07:04-C*05:01-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.04301,159
 55  A*03-B*07-DRB1*16-DQB1*05  Ecuador Mixed Ancestry 0.04261,173
 56  A*03-B*07-DRB1*16-DQB1*05  Mexico Jalisco, Guadalajara city 0.04191,189
 57  A*29:01-B*07:05-C*15:05-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.04004,856
 58  A*24:02-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.03804,856
 59  A*01-B*07-C*07-DRB1*16-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03491,743
 60  A*02:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Colombia Bogotá Cord Blood 0.03421,463
 61  A*30:02-B*07:05-C*18:01-DRB1*16:02-DQB1*05:02  Colombia Bogotá Cord Blood 0.03421,463
 62  A*02:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 63  A*02:01-B*07:05-C*15:05-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 64  A*24:02-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 65  A*26:01-B*07:05-C*15:05-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 66  A*03:01:01:01-B*07:04-C*07:02:01:03-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 67  A*24:02:01-B*07:02:01-C*07:02:01:03-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 68  A*29:01:01:01-B*07:05:01-C*03:04:01:01-DRB1*16:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 69  A*68-B*07-C*15-DRB1*16-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 70  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.032723,595
 71  A*11-B*07-C*07-DRB1*16-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03081,743
 72  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.027923,595
 73  A*03-B*07-DRB1*16-DQB1*05  Mexico Puebla, Puebla city 0.02511,994
 74  A*03:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02-DPB1*03:01  Germany DKMS - German donors 0.02353,456,066
 75  A*01:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.02204,856
 76  A*01:01-B*07:06-C*07:02-DRB1*16:02-DQB1*05:02  India East UCBB 0.02082,403
 77  A*02:16-B*07:05-C*07:02-DRB1*16:02-DQB1*05:02  India Tamil Nadu 0.02012,492
 78  A*03:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02-DPB1*04:01  Germany DKMS - German donors 0.01973,456,066
 79  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.01771,510
 80  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.016123,595
 81  A*11:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01404,856
 82  A*24:02-B*07:05-C*15:05-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01204,856
 83  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.011223,595
 84  A*11:01-B*07:02-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.01101,772
 85  A*26:01-B*07:02-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.01101,772
 86  A*24:02:01-B*07:47-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.010623,595
 87  A*68:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.010223,595
 88  A*02:01-B*07:02-C*07:01-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 89  A*03:01-B*07:02-C*07:02-DRB1*16:02-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 90  A*29:01-B*07:02-C*07:02-DRB1*16:02-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 91  A*31:01-B*07:02-C*07:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 92  A*33:03-B*07:05-C*15:05-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 93  A*68:01:02-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.009623,595
 94  A*01:01-B*07:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00895,829
 95  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.008823,595
 96  A*02:06-B*07:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 97  A*24:02-B*07:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 98  A*24:02-B*07:06-C*03:03-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 99  A*33:03-B*07:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 100  A*33:03-B*07:06-C*03:03-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829

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 119) 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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