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 2,814) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 29  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*51-C*14  Pakistan Kalash 14.400069
 2  A*02-B*51-C*14  Pakistan Kalash 7.200069
 3  A*32:01-B*51-C*14  Pakistan Karachi Parsi 4.900091
 4  B*51:01-C*14:02  Japan Central 4.7000371
 5  B*51:01-C*14:02  USA Asian 4.2000358
 6  B*51:01-C*14:02  USA Asian pop 2 4.19201,772
 7  B*51-C*14  Pakistan Mixed Pathan 3.9000100
 8  A*11:01-B*51:01-C*14:02  China Southwest Dai 3.6000124
 9  B*51-C*14  Macedonia 3.4965286
 10  A*11:01-B*51:01-C*14:02-DRB1*14:04  China Southwest Dai 2.8000124
 11  A*24-B*51-C*14  South Korea pop 1 2.8000324
 12  B*51:01-C*14:02-DRB1*14:04  China Southwest Dai 2.8000124
 13  B*51:01:01-C*14:02  Taiwan Hakka 2.700055
 14  B*51:01:01-C*14:02  Taiwan Minnan pop 1 2.5000102
 15  A*11:01-B*51:01-C*14:02  China Guizhou Province Miao pop 2 2.400085
 16  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Black 2.381073
 17  A*02:01-B*51/52-C*14  Spain Catalonia Girona 2.300088
 18  A*24:02-B*51:01-C*14:02  South Korea pop 3 2.3000485
 19  A*24-B*51-C*14  Brazil Parana Japanese 2.2600192
 20  A*24:02-B*51:01-C*14:02  Japan pop 5 2.1000117
 21  A*24-B*51-C*14  Malaysia Perak and Johor Banjar Bugis Jawa 2.100094
 22  A*02:01:01-B*51:01:01-C*14:02:01  South African Indian population 2.000050
 23  A*02-B*51-C*14  South Korea pop 1 2.0000324
 24  B*51:01:01-C*14:02  Taiwan Saisiat 2.000051
 25  B*51:01:01-C*14:02:01  China Jingpo Minority 1.9610105
 26  B*51:01-C*14:02  USA Caucasian pop 2 1.9000265
 27  A*02-B*51-C*14  Macedonia 1.7483286
 28  A*11:01:01-B*51-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02-DPB1*04:01:01  China Yunnan Province Lisu 1.7000111
 29  A*33:03:01-B*51-C*14:02:01-DRB1*11:04:01-DQB1*03:01:01-DPB1*04:01:01  China Yunnan Province Lisu 1.7000111
 30  A*31:01-B*51:01-C*14:02  South Korea pop 3 1.5000485
 31  A*02-B*51-C*14-DRB1*11-DQB1*03  Albania 1.4000160
 32  B*51-C*14  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 33  A*02-B*51-C*14-DRB1*11-DQB1*03  Albania pop 2 1.3500432
 34  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Puyanawa 1.3333150
 35  A*31-B*51-C*14-DRB1*16  Macedonia MBMDR - Macedonian Muslims 1.315876
 36  A*31-B*51-C*14  Brazil Parana Japanese 1.3000192
 37  B*51:01-C*14:02  Italy pop 5 1.3000975
 38  B*51:01-C*14:02  USA Hispanic 1.3000234
 39  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*13:02:01-DQB1*06:04  Russia Bashkortostan, Bashkirs 1.2500120
 40  A*02-B*51-C*14-DRB1*11-DQB1*03  Iraq Kurdistan Region 1.2000209
 41  A*24:02-B*51:01-C*14:02  China Guizhou Province Miao pop 2 1.200085
 42  A*11-B*51-C*14:02-DRB1*08-DQB1*03  Russia North Ossetian 1.1800127
 43  A*02-B*51-C*14-DRB1*07  Macedonia MBMDR - Albanian 1.1719128
 44  A*24:02-B*51:01-C*14:02  USA Asian 1.1000358
 45  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03-DPB1*02:01  Japan Central 1.1000371
 46  B*51:01-C*14:02  USA North American Native 1.1000187
 47  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 48  B*51:01:01-C*14:02:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 49  A*11-B*51-C*14-DRB1*07-DQB1*03  Iraq Kurdistan Region 1.0000209
 50  A*24:02:01-B*51:19-C*14:02:01  South African Indian population 1.000050
 51  B*51:01-C*14:02  Mexico Oaxaca Mixe 1.000055
 52  B*51:01-C*14:02-DRB1*09:01  South Korea pop 3 1.0000485
 53  A*68:01-B*51:01-C*14:02-DRB1*15:02-DQA1*01:02-DQB1*06:04  United Arab Emirates Abu Dhabi 0.960052
 54  A*24:02:01-B*51:01:01-C*14:02:01  China Jingpo Minority 0.9450105
 55  A*11-B*51-C*14-DRB1*04  Myanmar Shan 0.926054
 56  A*11-B*51-C*14-DRB1*14  Myanmar Shan 0.926054
 57  A*11-B*51-C*14-DRB1*15  Myanmar Shan 0.926054
 58  A*24-B*51-C*14-DRB1*15  Myanmar Chin 0.909055
 59  A*68-B*51-C*14-DRB1*11  Iran pop 4 0.9000855
 60  A*01:01-B*51:01-C*14:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.8772130
 61  A*02:11:01-B*51:01:01-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.8620174
 62  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.8620174
 63  A*02-B*51-C*14  Brazil Parana Japanese 0.8500192
 64  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.8065186
 65  A*02:01-B*51:01-C*14:02-DRB1*04:07-DQA1*03:02-DQB1*03:01  Kosovo 0.8060124
 66  A*26:01-B*51:01-C*14:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.8060124
 67  B*51:01-C*14:02  USA Hispanic pop 2 0.79801,999
 68  A*24-B*51-C*14-DRB1*12  Myanmar Kachin 0.794063
 69  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:01  Iran Gorgan 0.780064
 70  A*02-B*51-C*14:02-DRB1*11-DQB1*03  Russia North Ossetian 0.7800127
 71  A*24:02-B*51:06-C*14:02-DRB1*11:01-DQB1*03:01  Iran Gorgan 0.780064
 72  A*24-B*51-C*14:02-DRB1*04-DQB1*03  Russia North Ossetian 0.7800127
 73  A*02:01-B*51:01-C*14:02  Italy pop 5 0.7600975
 74  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.725077,584
 75  A*02-B*51-C*14-DRB1*01-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 76  A*02-B*51-C*14-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 77  B*51-C*14-DRB1*01-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 78  B*51-C*14-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 79  A*02-B*51-C*14-DRB1*16  Macedonia MBMDR - Macedonian 0.68601,283
 80  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.681124,582
 81  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 82  A*24-B*51-C*14-DRB1*13  Macedonia MBMDR - Macedonian Muslims 0.657976
 83  A*24:02-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.652018,604
 84  B*51:01-C*14:02  Mexico Mexico City Mestizo pop 2 0.6400234
 85  A*02:01-B*51:01-C*14:02-DRB1*08:01  Germany DKMS - Portugal minority 0.63801,176
 86  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 87  A*31:01-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.579018,604
 88  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 89  A*11:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.5535271
 90  A*24:02-B*51:01-C*14:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.5535271
 91  A*11:01:01-B*51:01:01-C*14:02:01  China Jingpo Minority 0.5400105
 92  A*02-B*51-C*14-DRB1*11  Macedonia 0.5245286
 93  A*02-B*51-C*14-DRB1*16  Macedonia 0.5245286
 94  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*14:01:01  China Jingpo Minority 0.5210105
 95  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*15:04  China Jingpo Minority 0.5210105
 96  B*51:01:01-C*14:02:01-DRB1*14:01:01  China Jingpo Minority 0.5210105
 97  B*51:01:01-C*14:02:01-DRB1*15:04  China Jingpo Minority 0.5210105
 98  A*03-B*51-C*14  Brazil Parana Japanese 0.5200192
 99  A*02:01-B*51:01-C*14:02-DRB1*08:01  Germany DKMS - Bosnia and Herzegovina minority 0.51501,028
 100  A*02:01:01-B*51:01:01-C*14:02:01  China Jingpo Minority 0.4950105

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 2,814) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 29  


   

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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