Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 163) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24-B*15-DRB1*09:01:02-DQB1*03:03  Peru Lamas City Lama 1.800083
 2  A*02-B*15-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 1.689087
 3  A*02-B*15-DRB1*09:01-DQB1*03:03  Bolivia Quechua 1.450069
 4  B*15:01-DRB1*09:01-DQB1*03:03  South Korea pop 3 1.3000485
 5  A*31:01:02-B*15:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.9300105
 6  A*11:01-B*15:21-C*04:03-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.521911,499
 7  A*24:02-B*15:01-DRB1*09:01-DQB1*03:03  Iran Tabriz Azeris 0.515597
 8  A*02:01-B*15:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4900105
 9  A*68:01:02-B*15:04-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4800105
 10  A*02:01-B*15:01-C*15:02-E*01:03:01-F*01:01:01-G*01:04-DRB1*09:01:02-DQA1*03:02-DQB1*03:03  Portugal Azores Terceira Island 0.4386130
 11  A*24:02-B*15:21-C*04:03-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.429611,499
 12  A*68:01:02:01-B*15:01:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 13  A*02:01:01-B*15:11:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.27011,734
 14  A*32:01-B*15:01-C*05:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*04:02  USA San Diego 0.2600496
 15  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.25951,734
 16  A*11:01-B*15:01-C*16:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 17  A*26:01-B*15:03-C*08:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 18  A*11:01-B*15:02-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.22701,772
 19  A*02:01-B*15:01-C*01:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*14:01  Nicaragua Managua 0.2165339
 20  A*02:01-B*15:13-C*08:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.2103951
 21  A*29:02:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 22  A*68:01:01-B*15:03:01-C*02:10:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*02:01-B*15:11-C*03:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.18701,772
 24  A*34:01-B*15:21-C*04:03-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.170611,499
 25  A*02:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 26  A*02:01-B*15:11-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.16003,078
 27  A*11:01:01-B*15:11:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.15401,734
 28  A*68:01:02-B*15:11:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 29  A*24:02-B*15:27-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*14:01  Japan pop 17 0.13003,078
 30  A*02:01-B*15:11-C*03:03-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.1052951
 31  A*02:01-B*15:01-C*01:02-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 32  A*02:01-B*15:11-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.10003,078
 33  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.09251,734
 34  A*02:01-B*15:01-C*03:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.08901,772
 35  A*11:01-B*15:02-C*08:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 36  A*24:25-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 37  A*26:01-B*15:01-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 38  A*31:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 39  A*11:02:01-B*15:27:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.06501,734
 40  A*11:01:01-B*15:18:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.06091,734
 41  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05781,734
 42  A*31:01:02-B*15:01:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05761,734
 43  A*24:02-B*15:01-C*03:03-DRB1*09:01-DQB1*03:03-DPB1*03:01  Russia Karelia 0.05651,075
 44  A*11:02:01-B*15:11:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.05611,734
 45  A*02:02-B*15:13-C*04:03-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 46  A*02:03-B*15:02-C*08:03-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 47  A*11:01-B*15:13-C*08:01-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 48  A*11:01-B*15:01-C*04:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.05201,772
 49  A*31:01:02-B*15:11:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.04941,734
 50  A*24:02-B*15:11-C*03:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04801,772
 51  A*24:02-B*15:18-C*07:04-DRB1*09:01-DQB1*03:03  USA African American pop 4 0.04402,411
 52  A*26:01-B*15:11-C*03:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 53  A*26:01-B*15:18-C*07:04-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 54  A*26:02-B*15:01-C*03:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 55  A*11:01-B*15:25-C*04:03-DRB1*09:01-DQB1*03:03  India East UCBB 0.04162,403
 56  A*24:02-B*15:01-C*03:03-DRB1*09:01-DQB1*03:03  India East UCBB 0.04162,403
 57  A*02:06:01-B*15:11:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.03521,734
 58  A*02:01-B*15:18-C*07:04-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 59  A*03:01:01:01-B*15:01:01:01-C*03:04:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 60  A*03:01:01:01-B*15:01:01-C*02:02:02-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 61  A*02:01-B*15:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 62  A*02:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 63  A*02:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 64  A*02:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*04:02  Japan pop 17 0.03003,078
 65  A*02:01-B*15:01-C*15:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 66  A*02:01-B*15:07-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 67  A*02:01-B*15:11-C*03:03-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*02:02-DPB1*14:01  Japan pop 17 0.03003,078
 68  A*02:01-B*15:11-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 69  A*02:01-B*15:11-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*41:01  Japan pop 17 0.03003,078
 70  A*02:01-B*15:11-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 71  A*02:06-B*15:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 72  A*02:06-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 73  A*02:06-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 74  A*02:06-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 75  A*11:01-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 76  A*11:01-B*15:01-C*04:01-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 77  A*11:01-B*15:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 78  A*24:02-B*15:01-C*01:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 79  A*24:02-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 80  A*24:02-B*15:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 81  A*24:02-B*15:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 82  A*24:02-B*15:07-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 83  A*24:02-B*15:07-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 84  A*24:02-B*15:11-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 85  A*24:02-B*15:18-C*07:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 86  A*24:02-B*15:18-C*07:04-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 87  A*24:02-B*15:18-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 88  A*26:02-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 89  A*26:03-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 90  A*26:03-B*15:01-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 91  A*26:03-B*15:01-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 92  A*26:03-B*15:01-C*15:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 93  A*31:01-B*15:11-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*41:01  Japan pop 17 0.03003,078
 94  A*31:01-B*15:18-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 95  A*33:03-B*15:11-C*03:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 96  A*01:01:01-B*15:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 97  A*02:01:01-B*15:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 98  A*02:01:01-B*15:03:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 99  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 100  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734

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 163) 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.
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