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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 13,576) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 136  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*51:10-C*15:02-DRB1*04:07-DQB1*03:02  Colombia North Chimila Amerindians 28.723447
 2  B*51-C*14  Pakistan Kalash 14.400069
 3  B*51-C*15  Pakistan Kalash 9.500069
 4  A*24-B*51-DRB1*04:03-DQB1*03:02  Colombia Wayu from Guajira Peninsula 9.220048
 5  B*51:01-C*03:04  USA Alaska Yupik 9.0000252
 6  B*51:01-DRB1*11:01  USA Alaska Yupik 7.7000252
 7  A*02-B*51-C*14  Pakistan Kalash 7.200069
 8  A*02-B*51-DRB1*04  Pakistan Kalash 7.200069
 9  A*02-B*51  Pakistan Mixed Pathan 6.2000100
 10  A*02-B*51  Pakistan Brahui 6.2000104
 11  B*51:01-C*15:02  USA North American Native 5.9000187
 12  B*51-C*16:02  Pakistan Mixed Pathan 5.9000100
 13  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Mexico City West 5.882433
 14  A*02-B*51-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 5.800039
 15  A*24-B*51  Pakistan Kalash 5.700069
 16  A*31:01:02-B*51:02:01-C*08:01  Mexico Chihuahua Tarahumara 5.700044
 17  A*68:01-B*51:01  USA Alaska Yupik 5.7000252
 18  A*02:01-B*51:01  Oman 5.6000118
 19  A*02:01-B*51:02-DRB1*12:02  Malaysia Mandailing 5.555627
 20  B*51-C*15  Pakistan Baloch 5.500066
 21  A*02-B*51  Macedonia 5.4196286
 22  B*51-C*15  Macedonia 5.4196286
 23  A*24-B*51-DRB1*11-DQB1*03  Turkey pop 2 5.3000228
 24  A*24:02-B*51:01-C*15:09-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Tixcacaltuyub Maya 5.223967
 25  A*32:01-B*51:01  Oman 5.0000118
 26  A*68:01-B*51:01-DRB1*11:01-DQB1*03:01  USA Alaska Yupik 5.0000252
 27  A*02-B*51  Greece North 4.9000500
 28  A*32:01-B*51-C*14  Pakistan Karachi Parsi 4.900091
 29  A*01-B*51-DRB1*04:02/04:03-DQB1*03:02  Tunisia Ghannouch 4.800082
 30  A*24:02-B*51:01-DRB1*14:04  Malaysia Kedah Kensiu 4.760021
 31  A*24:07-B*51:01-DRB1*14:04  Malaysia Kedah Kensiu 4.760021
 32  B*51:01-C*14:02  Japan Central 4.7000371
 33  A*31:01:02-B*51:02:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 4.600044
 34  A*68:01-B*51:02:01-C*08:01  Mexico Chihuahua Tarahumara 4.600044
 35  A*02-B*51-C*06-DRB1*13-DQB1*06  Sudan Khartoum 4.590098
 36  A*02:01-B*51:01  Tunisia 4.5000100
 37  B*51-DRB1*11  Greece North 4.5000500
 38  A*02-B*51-DRB1*13-DQB1*06  Mexico Tamaulipas, Ciudad Victoria 4.347823
 39  A*02-B*51-C*15-DRB1*04  Iran pop 4 4.3000855
 40  B*51:01-C*14:02  USA Asian 4.2000358
 41  B*51:01-C*14:02  USA Asian pop 2 4.19201,772
 42  A*02-B*51-DRB1*12:02  Malaysia Sarawak Bidayuh 4.000050
 43  A*11-B*51-DRB1*09:01  Malaysia Sarawak Bidayuh 4.000050
 44  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Baja California, Tijuana 4.000025
 45  A*24-B*51-DRB1*15  Pakistan Kalash 4.000069
 46  A*02:01-B*51:02-DRB1*12:02  Malaysia Pahang Semai 3.950038
 47  A*02-B*51  Iran pop 1 3.900064
 48  A*02-B*51-DRB1*12:02  Malaysia Sarawak Iban 3.900051
 49  A*03-B*51  Iran pop 1 3.900064
 50  A*32:01-B*51  Pakistan Baloch 3.900066
 51  B*51-C*14  Pakistan Mixed Pathan 3.9000100
 52  B*51-DRB1*04  Russia South Ural Bashkir 3.9000146
 53  A*02-B*51-DRB1*11  Albania pop 2 3.8700432
 54  A*68:01-B*51:01-DRB1*04:03-DQB1*03:02  Chile Mapuche 3.850066
 55  B*51-DRB1*11  Macedonia 3.8462286
 56  A*02:01-B*51:01  Brazil Belo Horizonte Caucasian 3.700095
 57  A*02-B*51-DRB1*08-DQB1*04  Mexico Hidalgo, Pachuca 3.658541
 58  A*02-B*51-DRB1*11  Georgia Kurds 3.600030
 59  A*11:01-B*51:01-C*14:02  China Southwest Dai 3.6000124
 60  A*24:02-B*51:01-DRB1*12:02  Malaysia Kelantan 3.571428
 61  A*01-B*51-DRB1*03:01-DQB1*02:01  Colombia San Basilio de Palenque 3.571042
 62  A*02-B*51-DRB1*16  Pakistan Brahui 3.5000104
 63  B*51:01-C*16:01  Zambia Lusaka 3.500044
 64  B*51-C*14  Macedonia 3.4965286
 65  A*02:06-B*51:02:01-C*08:01  Mexico Chihuahua Tarahumara 3.400044
 66  A*02-B*51-C*16:02  Pakistan Mixed Pathan 3.4000100
 67  A*02-B*51-DRB1*11  Iraq Erbil 3.4000372
 68  A*03-B*51-DRB1*01  Germany pop 7 3.400013,386
 69  A*68:01-B*51:02:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 70  A*02-B*51-C*15-DRB1*16-DQB1*05  Albania pop 2 3.3800432
 71  A*03-B*51-DRB1*07-DQB1*02  Mexico Jalisco, Tlajomulco 3.333330
 72  A*03-B*51-DRB1*11-DQB1*03:01  Mexico Veracruz, Orizaba 3.333360
 73  A*24-B*51-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 3.333360
 74  A*68-B*51-DRB1*01-DQB1*05  Mexico Morelos Rural 3.333330
 75  A*02:01:01-B*51:01:01-DRB1*11:01:01  Portugal North 3.300046
 76  A*03-B*51  Pakistan Mixed Sindhi 3.3000101
 77  A*02-B*51-C*15-DRB1*16  Macedonia MBMDR - Macedonian Muslims 3.289576
 78  A*02-B*51-DRB1*16:01-DQB1*05:02  Macedonia pop 3 3.2000172
 79  A*24:02-B*51:01  USA Alaska Yupik 3.2000252
 80  A*02-B*51-DRB1*08-DQB1*04  Mexico Campeche Rural 3.191547
 81  A*02-B*51-C*16:02-DRB1*11-DQB1*03  Russia North Ossetian 3.1500127
 82  A*24:02:01-B*51:01:01-DRB1*07:01:01  Portugal South 3.100049
 83  A*32:01-B*51-C*15  Pakistan Baloch 3.100066
 84  A*11-B*51-DRB1*15  India sub-Himalayan West Bengal Kami 3.0600158
 85  A*02:01:01-B*51:01:01-DRB1*08:01:01  Portugal Center 3.000050
 86  A*02:01-B*51:01-DRB1*08:02  Mexico Oaxaca Mixtec 3.0000103
 87  A*02-B*51  Venezuela Caracas Mestizo 3.000050
 88  A*11-B*51-DRB1*15  Pakistan Mixed Pathan 3.0000100
 89  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Baja California Rural 3.000050
 90  B*51:01-C*15:02  Mexico Oaxaca Mixtec 3.0000103
 91  B*51:02:01-C*15:02:01  China Jingpo Minority 2.9410105
 92  A*11-B*51-C*12  Pakistan Mixed Pathan 2.9000100
 93  A*24-B*51-DRB1*11  Philippines National Capital Region 2.900051
 94  A*02-B*51-DRB1*08-DQB1*04  Mexico Mexico City South 2.884652
 95  A*24-B*51-DRB1*08-DQB1*04  Mexico Mexico City South 2.884652
 96  A*02:01-B*51:01  Romania 2.8000348
 97  A*11:01-B*51:01-C*14:02-DRB1*14:04  China Southwest Dai 2.8000124
 98  A*11:01-B*51:01-DRB1*14:04  China Southwest Dai 2.8000124
 99  A*24-B*51-C*14  South Korea pop 1 2.8000324
 100  A*31-B*51  Mongolia Tarialan Khoton 2.800085

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 13,576) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 136  


   

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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