Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 146) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 3.6238192
 2  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 3.3333120
 3  A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 3.3333120
 4  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 3.11091,734
 5  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 1.775923,595
 6  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.6340153
 7  A*26:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 1.6130124
 8  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 1.6000975
 9  A*02:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 1.57491,510
 10  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 1.3333150
 11  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.0753186
 12  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 1.05641,510
 13  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 1.0420496
 14  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Poland 1.0000200
 15  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.9300215
 16  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.8600234
 17  B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.8600234
 18  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.859823,595
 19  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.85835,829
 20  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 21  A*68:01:02:02-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 22  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.828011,446
 23  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.7810496
 24  B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.6993143
 25  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.691023,595
 26  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 0.6667150
 27  A*30:10-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02-DPB1*02:01  Tanzania Maasai 0.6390336
 28  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.61604,335
 29  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.5900975
 30  A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 31  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.52012,403
 32  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.50595,849
 33  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 34  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.46141,510
 35  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.4600975
 36  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Nicaragua Managua 0.4329339
 37  A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 38  A*01:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 39  A*24:02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 40  A*24:02:13-B*13:02:01-C*06:02:01:02-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 41  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 42  A*31:01:02:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.4167120
 43  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.36734,204
 44  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 45  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 46  A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 47  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 48  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 49  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.30804,335
 50  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  South Africa Worcester 0.3000159
 51  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 52  A*30:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2824192
 53  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.2810356
 54  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 55  A*68:01:02:02-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.2604192
 56  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 0.2600496
 57  A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.252923,595
 58  A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 59  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01  Mexico Chiapas Lacandon Mayans 0.2294218
 60  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.2103951
 61  A*03:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.197323,595
 62  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.19601,734
 63  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 64  A*01:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.18311,510
 65  A*26:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 66  A*31:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.11531,734
 67  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.10402,403
 68  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 69  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01  Japan pop 17 0.10003,078
 70  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.09781,734
 71  A*33:03:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 72  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.083711,446
 73  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08231,734
 74  A*03:01:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.07271,510
 75  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 76  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01  Japan pop 17 0.07003,078
 77  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 78  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 79  A*32:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 80  A*24:02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06621,510
 81  A*68:01:02:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06621,510
 82  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.065911,446
 83  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.06262,403
 84  A*02:07:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05921,734
 85  A*01:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05691,734
 86  A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.05541,510
 87  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.054123,595
 88  A*23:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.047523,595
 89  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.047111,446
 90  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.04654,204
 91  A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.045811,446
 92  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.04255,829
 93  A*68:01:02-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.041723,595
 94  A*33:03-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.04162,403
 95  A*32:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.041123,595
 96  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.04104,204
 97  A*68:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.04045,849
 98  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.03574,204
 99  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.03425,849
 100  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335

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 146) 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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