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 217) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*15:25-DRB1*16:02:01  Taiwan Tao 30.000050
 2  A*24-B*15-DRB1*16:02  Malaysia Sarawak Bidayuh 15.000050
 3  B*15:25-DRB1*16:02:01  Taiwan Thao 11.700030
 4  B*15:25-DRB1*16:02:01  Taiwan Pazeh 10.900055
 5  A*24:02-B*15:02-DRB1*16:02  Malaysia Pahang Semai 10.530038
 6  B*15:25-DRB1*16:02:01  Taiwan Puyuma 7.000050
 7  A*02-B*15-DRB1*16:02-DQB1*03:01  Colombia Wayu from Guajira Peninsula 6.250048
 8  A*11-B*15-DRB1*16:02  Malaysia Sarawak Bidayuh 6.000050
 9  B*15:25-DRB1*16:02:01  Taiwan Bunun 5.3000101
 10  B*15:25-DRB1*16:02:01  Taiwan Rukai 5.000050
 11  A*11:01-B*15:25-DRB1*16:02  Malaysia Patani 4.000025
 12  B*15:25-DRB1*16:02:01  Taiwan Tsou 3.900051
 13  A*02-B*15-DRB1*16:02-DQA1*05-DQB1*03:01  Mexico Mazatecan 3.300089
 14  B*15:25-DRB1*16:02:01  Philippines Ivatan 3.000050
 15  A*24:02-B*15:01-DRB1*16:02-DQB1*03:01  USA South Dakota Lakota Sioux 2.9000302
 16  B*15:25-DRB1*16:02:01  Taiwan Siraya 2.900051
 17  B*15:25-DRB1*16:02:01  Taiwan Atayal 2.8000106
 18  B*15:25-DRB1*16:02:01  Taiwan Ami 2.600098
 19  A*11:01-B*15:06-DRB1*16:02  Taiwan Tzu Chi Morrow Donor Registry Aborigine 2.1440233
 20  A*02:01-B*15:01-C*01:02-DRB1*16:02-DQB1*03:01  Colombia North Chimila Amerindians 2.127747
 21  A*02:01-B*15:13-DRB1*16:02  Malaysia Patani 2.000025
 22  A*24:07-B*15:02-DRB1*16:02  Malaysia Mandailing 1.851927
 23  A*24:07-B*15:02-DRB1*16:02  Malaysia Kelantan 1.785728
 24  A*02:01-B*15:25-DRB1*16:02  Malaysia Champa 1.724129
 25  A*74:01:01-B*15:03:01-C*06:02:01-DRB1*16:02:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 26  A*02:01-B*15:04-C*03:03-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 1.3333150
 27  A*24:02-B*15:01-C*01:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 28  B*15:21-DRB1*16:02:01  Philippines Ivatan 1.000050
 29  A*24:02:01-B*15:08:01-C*01:02:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 30  A*31-B*15-DRB1*16:02-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.650053
 31  A*02:01:01-B*15:01:01-C*01:02:01-DRB1*16:02:01  Nicaragua Mestizo (G) 0.6452155
 32  A*02:01-B*15:01-DRB1*16:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 33  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
 34  A*11:01:01-B*15:32:01-C*12:03:01-DRB1*16:02:01  China Jingpo Minority 0.5210105
 35  A*11:01:01-B*15:32:01-DRB1*16:02:01  China Jingpo Minority 0.5210105
 36  B*15:32:01-C*12:03:01-DRB1*16:02:01  China Jingpo Minority 0.5210105
 37  B*15:32:01-DRB1*16:02:01  China Jingpo Minority 0.5210105
 38  A*02:06:01-B*15:25:01-C*08:01:01-DRB1*16:02:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 39  A*11:01:01-B*15:25:01-C*04:03:01-DRB1*16:02:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 40  A*68:02:01-B*15:10:01-C*16:01:01-DRB1*16:02:01  Costa Rica African -Caribbean (G) 0.4902102
 41  A*68:01-B*15:01-C*01:02-DRB1*16:02-DQB1*03:01-DPB1*04:02  Panama 0.4900462
 42  B*15:01-C*01:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 43  A*02:22:01-B*15:01:01-C*01:02:01-DRB1*16:02:01  Costa Rica Amerindians (G) 0.4032125
 44  A*24:02-B*15:01-C*01:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 45  B*15:01-C*01:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 46  A*02:01-B*15:04-C*03:03-DRB1*16:02  Brazil Vale do Ribeira Quilombos 0.3472144
 47  A*31:01:02-B*15:15-C*01:02:01-DRB1*16:02:01  Nicaragua Mestizo (G) 0.3226155
 48  A*68:02:01-B*15:01:01-C*01:02:01-DRB1*16:02:01  Nicaragua Mestizo (G) 0.3226155
 49  A*24:02-B*15:01-C*01:02-DRB1*16:02-DQB1*03:01-DPB1*04:02  Panama 0.2700462
 50  A*02:06-B*15:01-C*08:01-DRB1*16:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 51  A*11:01-B*15:18-C*03:13-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 52  A*24:02-B*15:02-C*14:02-DRB1*16:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 53  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*16:02:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 54  A*31:01:02-B*15:01:01-C*01:02:01-DRB1*16:02:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 55  A*32:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India North UCBB 0.20505,849
 56  A*11:01-B*15:02-DRB1*16:02  Hong Kong Chinese cord blood registry 0.19763,892
 57  A*01:01:01-B*15:03:01-C*07:06:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 58  A*02:04-B*15:04:01-C*03:03:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 59  A*02:02-B*15:03-C*02:10-DRB1*16:02-DQB1*03:01-DPB1*13:01  Panama 0.1900462
 60  A*33:01-B*15:01-C*15:05-DRB1*16:02-DQB1*06:02-DPB1*04:02  Panama 0.1900462
 61  A*02:03-B*15:02-C*08:01-DRB1*16:02-DQB1*05:02  India Northeast UCBB 0.1689296
 62  A*11:01-B*15:25-C*04:03-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.1577951
 63  A*01:01-B*15:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 64  A*02:01-B*15:01-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 65  A*23:01-B*15:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 66  A*24:02-B*15:05-DRB1*16:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 67  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
 68  A*02:02-B*15:03-C*02:02-DRB1*16:02-DQB1*05:02  USA African American pop 4 0.13102,411
 69  A*24:02-B*15:02-C*08:01-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.1238951
 70  A*32:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India West UCBB 0.11985,829
 71  A*68-B*15-DRB1*16:02  Chile Santiago 0.1132920
 72  A*11:01-B*15:01-C*04:03-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 73  A*24:07-B*15:02-C*07:02-DRB1*16:02-DQB1*06:01  Malaysia Peninsular Malay 0.1052951
 74  A*74:01-B*15:02-C*08:01-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 75  A*11:01-B*15:02-C*08:01-DRB1*16:02  Hong Kong Chinese BMDR 0.10357,595
 76  A*02:01-B*15:01-C*01:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.10251,463
 77  A*32:01-B*15:29-C*07:04-DRB1*16:02-DQB1*05:02  India Central UCBB 0.08324,204
 78  A*02-B*15-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 79  A*30-B*15-DRB1*16:02-DQA1*01:02-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 80  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
 81  A*24:02-B*15:01-C*03:03-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 82  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
 83  A*02:06-B*15:02-DRB1*16:02  Hong Kong Chinese cord blood registry 0.06173,892
 84  A*29-B*15-DRB1*16:02  Chile Santiago 0.0543920
 85  A*02:01-B*15:20-C*04:01-DRB1*16:02-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 86  A*02:01-B*15:25-C*04:03-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 87  A*02:07-B*15:02-C*08:01-DRB1*16:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 88  A*02:61-B*15:25-C*04:03-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 89  A*03:01-B*15:02-C*08:01-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 90  A*03:01-B*15:06-C*03:04-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 91  A*11:01-B*15:25-C*04:03-DRB1*16:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 92  A*11:01-B*15:25-C*04:16-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 93  A*23:01-B*15:25-C*04:03-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 94  A*24:07-B*15:02-C*12:02-DRB1*16:02-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 95  A*24:07-B*15:25-C*08:01-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 96  A*24:84N-B*15:02-C*08:01-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 97  A*33:01-B*15:25-C*06:02-DRB1*16:02-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 98  A*33:03-B*15:25-C*03:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 99  A*74:01-B*15:25-C*04:03-DRB1*16:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 100  B*15:01-DRB1*16:02  Italy pop 5 0.0500975

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 217) 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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