Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 320) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uro 13.5000105
 2  A*02:01-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 13.4500105
 3  A*24:07-B*35:05-DRB1*12:02  Malaysia Pahang Semai 13.160038
 4  A*24:07-B*35:05-C*04:01-DRB1*12:02  China Yunnan Bulang 9.4000116
 5  A*24:02-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 6.8100105
 6  A*24:02-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uro 6.8000105
 7  A*02:01-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 6.3100105
 8  A*02:01-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uro 6.3000105
 9  A*24:07-B*35:05  Philippines Ivatan 6.000050
 10  B*35:05-C*04:01  Philippines Ivatan 6.000050
 11  A*24:07-B*35:05-DRB1*15:02  Malaysia Mandailing 5.555627
 12  A*24:02-B*35:05-DRB1*14:02-DQB1*03:01  Peru Titikaka Lake Uros 4.8800105
 13  A*24:02-B*35:05-DRB1*14:02-DQB1*03:01  Peru Titikaka Lake Uro 4.8000105
 14  A*24:02-B*35:05-DRB1*12:02  China Yunnan Province Jinuo 4.1000109
 15  A*24:07-B*35:05-C*04:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Filipino 3.983250,614
 16  A*24:07-B*35:05-C*04:01-DRB1*12:02-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 3.660911,499
 17  A*68:01:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uro 3.2000105
 18  A*68:01:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 3.1800105
 19  B*35:05-DRB1*12:02:01  Philippines Ivatan 3.000050
 20  B*35:05-DRB1*15:02:01  Philippines Ivatan 3.000050
 21  A*02:01-B*35:05-DRB1*09:01  Malaysia Kedah Kensiu 2.380021
 22  A*02:01-B*35:05-DRB1*15:02  Malaysia Kedah Kensiu 2.380021
 23  A*68:01:02-B*35:05-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 2.3400105
 24  A*68:01:02-B*35:05-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uro 2.3000105
 25  A*24:07-B*35:05:01-C*04:01:01  South African Mixed ancestry 2.000050
 26  A*24:07-B*35:05-C*04:01  China Southwest Dai 2.0000124
 27  A*24:07-B*35:05-DRB1*12:02  Malaysia Patani 2.000025
 28  A*24:07-B*35:05-DRB1*15:02  Malaysia Patani 2.000025
 29  A*26:01-B*35:05-DRB1*14:04  Malaysia Patani 2.000025
 30  A*24:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 1.9600105
 31  A*02:01-B*35:05-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 1.9000105
 32  A*24:07-B*35:05-C*04:01-DRB1*12:02-DQB1*03:01  Vietnam Hanoi Kinh pop 2 1.8000170
 33  A*02:01-B*35:05-DRB1*15:02  Malaysia Kelantan 1.785728
 34  A*32:01-B*35:05-DRB1*15:02  Malaysia Kelantan 1.785728
 35  A*68:01:02-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 1.6800105
 36  A*02:01-B*35:05-DRB1*07:01-DQB1*03:01  Tunisia Gabes 1.570095
 37  A*24:07:01-B*35:05:01-C*04:01:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 1.4850101
 38  A*24:07-B*35:05-DRB1*15:02  Malaysia Pahang Semai 1.320038
 39  A*24:02-B*35:05-C*04:01-DRB1*12:02-DQB1*03:01  Vietnam Hanoi Kinh pop 2 1.2000170
 40  A*24:07-B*35:05-C*04:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Vietnamese 1.182843,540
 41  A*68:01:02-B*35:05-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 1.0500105
 42  A*24:02-B*35:05-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 1.0000105
 43  A*24:02:01-B*35:05:01-C*04:01:01-DRB1*08:03:02-DQB1*06:01:01  Vietnam Kinh 0.9900101
 44  A*24:07-B*35:05:01  China Jingpo Minority 0.9900105
 45  A*24:07-B*35:05:01-C*04:01:01  China Jingpo Minority 0.9900105
 46  B*35:05:01-C*04:01:01  China Jingpo Minority 0.9800105
 47  A*24:02-B*35:05-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 0.9700105
 48  B*35:05-C*04:01  USA Asian pop 2 0.96601,772
 49  A*01:01-B*35:05-C*07:02-DRB1*13:02-DQB1*05:01  Colombia North Wiwa El Encanto 0.961552
 50  A*24:02-B*35:05-C*01:02-DRB1*08:02-DQB1*03:09  Colombia North Wiwa El Encanto 0.961552
 51  A*02:01-B*35:05-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 0.9500105
 52  A*24:07-B*35:05-C*04:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.7694951
 53  A*24:07-B*35:05-C*04:01-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 0.732050,614
 54  A*24:07-B*35:05-C*04:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.7204951
 55  A*02:01-B*35:05-C*04:01-DRB1*16:02  Brazil Vale do Ribeira Quilombos 0.6944144
 56  A*24:07-B*35:05  USA Asian pop 2 0.64301,772
 57  A*26:01-B*35:05-C*04:01-DRB1*12:02-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.601311,499
 58  A*02:01-B*35:05-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.5700105
 59  A*02:01-B*35:05-DRB1*14:02-DQB1*03:01  Peru Titikaka Lake Uros 0.5400105
 60  A*02:03:01-B*35:05:01-C*04:01:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 61  A*02:03:01-B*35:05:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 62  A*11:01:01-B*35:05:01-C*04:01:01-DRB1*15:04  China Jingpo Minority 0.5210105
 63  A*24:07-B*35:05:01-DRB1*15:04  China Jingpo Minority 0.5210105
 64  B*35:05:01-C*04:01:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 65  B*35:05:01-C*04:01:01-DRB1*15:04  China Jingpo Minority 0.5210105
 66  B*35:05:01-DRB1*15:02:01  China Jingpo Minority 0.5210105
 67  B*35:05:01-DRB1*15:04  China Jingpo Minority 0.5210105
 68  A*01:01-B*35:05-DRB1*03:08-DQB1*03:07  Iran Tabriz Azeris 0.515597
 69  A*24:02:40-B*35:05:01-C*04:01:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 70  A*24:07:01-B*35:05:01-C*04:01:01-DRB1*15:02:01-DQB1*03:03:05  Vietnam Kinh 0.4950101
 71  A*02:01-B*35:05-DRB1*04:03-DQB1*04:02  Peru Titikaka Lake Uros 0.4900105
 72  A*31:01:02-B*35:05-DRB1*08:02-DQB1*03:02  Peru Titikaka Lake Uros 0.4900105
 73  A*24:07-B*35:05-C*04:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.48901,772
 74  A*02:01-B*35:05-DRB1*13:02-DQB1*03:01  Peru Titikaka Lake Uros 0.4800105
 75  A*02:01-B*35:05-DRB1*14:06-DQB1*06:03  Peru Titikaka Lake Uros 0.4800105
 76  A*24:02-B*35:05-DRB1*03:02-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 77  A*24:02-B*35:05-DRB1*04:07-DQB1*04:02  Peru Titikaka Lake Uros 0.4800105
 78  A*31:01:02-B*35:05-DRB1*04:03-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 79  A*31:09-B*35:05-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 80  A*24:02-B*35:05-C*04:01-DRB1*12:02-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.371211,499
 81  A*24:02-B*35:05-C*04:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 82  B*35:05-C*04:01  Mexico Mexico City Mestizo population 0.3497143
 83  B*35:05-C*04:01-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 84  A*02:01:01-B*35:05:01-C*04:01:01-DRB1*07:01  Nicaragua Mestizo (G) 0.3226155
 85  A*02:01:01-B*35:05:01-C*04:01:01-DRB1*14:02  Nicaragua Mestizo (G) 0.3226155
 86  A*68:01:02-B*35:05:01-C*03:04:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 87  A*24:07-B*35:05-C*04:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Southeast Asian 0.312027,978
 88  A*11:01-B*35:05-C*04:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:01  South Africa Worcester 0.3000159
 89  A*24:02-B*35:05-C*06:02-DRB1*16:02-DQA1*01:01-DQB1*05:03-DPB1*13:01  South Africa Worcester 0.3000159
 90  A*24:07-B*35:05-C*07:02-DRB1*12:02-DQA1*01:02-DQB1*06:02-DPB1*02:02  South Africa Worcester 0.3000159
 91  A*24:07-B*35:05-C*04:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.2801714
 92  A*24:02-B*35:05-C*03:04-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*05:01  USA San Diego 0.2600496
 93  A*24:07-B*35:05-C*04:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 94  A*02:07-B*35:05-C*03:03-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Chinese 0.2577194
 95  A*24:07-B*35:05-C*03:04-DRB1*12:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 96  A*24:07-B*35:05-C*04:01-DRB1*08:09-DQB1*04:02  Malaysia Peninsular Chinese 0.2577194
 97  A*24:07-B*35:05-C*04:01-DRB1*15:04-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 98  A*24:07-B*35:05-C*04:01-DRB1*03:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.249211,499
 99  A*24:02-B*35:05-C*04:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2454951
 100  A*02:01-B*35:05-C*04:01-DRB1*11:03-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339

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 320) records   Pages: 1 2 3 4 of 4  


   

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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