Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 1 to 100 (from 2,984) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 30  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*51-C*14  Pakistan Kalash 14.400069
 2  A*33:03-B*44:03-C*14:03  Japan pop 5 10.7000117
 3  B*44:03-C*14:03  Japan Central 8.6000371
 4  A*02-B*51-C*14  Pakistan Kalash 7.200069
 5  A*33-B*44-C*14  South Korea pop 1 5.6000324
 6  A*32:01-B*51-C*14  Pakistan Karachi Parsi 4.900091
 7  A*33:03-B*44:03-C*14:03  South Korea pop 3 4.7000485
 8  B*51:01-C*14:02  Japan Central 4.7000371
 9  B*44:03-C*14:03-DRB1*13:02  South Korea pop 3 4.5000485
 10  A*33:03-B*44:03-C*14:03-DRB1*13:02  Japan pop 16 4.473018,604
 11  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04  South Korea pop 3 4.2000485
 12  B*51:01-C*14:02  USA Asian 4.2000358
 13  B*51:01-C*14:02  USA Asian pop 2 4.19201,772
 14  A*33-B*44-C*14  Brazil Parana Japanese 4.1600192
 15  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Japanese 3.926724,582
 16  B*51-C*14  Pakistan Mixed Pathan 3.9000100
 17  A*11:01-B*51:01-C*14:02  China Southwest Dai 3.6000124
 18  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*04:01  Japan Central 3.6000371
 19  B*51-C*14  Macedonia 3.4965286
 20  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Korean 3.491577,584
 21  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  Japan pop 17 3.13003,078
 22  A*11:01-B*51:01-C*14:02-DRB1*14:04  China Southwest Dai 2.8000124
 23  A*24-B*51-C*14  South Korea pop 1 2.8000324
 24  B*51:01-C*14:02-DRB1*14:04  China Southwest Dai 2.8000124
 25  B*51:01:01-C*14:02  Taiwan Hakka 2.700055
 26  B*51:01:01-C*14:02  Taiwan Minnan pop 1 2.5000102
 27  A*11:01-B*51:01-C*14:02  China Guizhou Province Miao pop 2 2.400085
 28  B*44:03-C*14:03  USA Asian 2.4000358
 29  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
 30  A*02:01-B*51/52-C*14  Spain Catalonia Girona 2.300088
 31  A*24:02-B*51:01-C*14:02  South Korea pop 3 2.3000485
 32  A*24-B*51-C*14  Brazil Parana Japanese 2.2600192
 33  A*24:02-B*51:01-C*14:02  Japan pop 5 2.1000117
 34  A*24-B*51-C*14  Malaysia Perak and Johor Banjar Bugis Jawa 2.100094
 35  A*33:03-B*44:03-C*14:03  USA Asian 2.1000358
 36  A*02:01:01-B*51:01:01-C*14:02:01  South African Indian population 2.000050
 37  A*02:01-C*14:02  Taiwan Saisiat 2.000051
 38  A*02-B*51-C*14  South Korea pop 1 2.0000324
 39  B*35:03-C*14:02:01  India West Bhil 2.000050
 40  B*51:01:01-C*14:02  Taiwan Saisiat 2.000051
 41  B*51:01:01-C*14:02:01  China Jingpo Minority 1.9610105
 42  B*51:01-C*14:02  USA Caucasian pop 2 1.9000265
 43  A*11:01-C*14:02  Taiwan Hakka 1.800055
 44  A*02-B*51-C*14  Macedonia 1.7483286
 45  A*02-C*14  Macedonia 1.7483286
 46  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
 47  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
 48  A*24:02-C*14:02  Taiwan Minnan pop 1 1.5000102
 49  A*31:01-B*51:01-C*14:02  South Korea pop 3 1.5000485
 50  A*02-B*51-C*14-DRB1*11-DQB1*03  Albania 1.4000160
 51  A*68:02-B*15:16-C*14:02-DRB1*01:02  Brazil Vale do Ribeira Quilombos 1.3889144
 52  B*51-C*14  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 53  A*02-B*51-C*14-DRB1*11-DQB1*03  Albania pop 2 1.3500432
 54  B*44:03-C*14:03  USA Asian pop 2 1.33601,772
 55  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQA1*04:01-DQB1*04:02  Brazil Puyanawa 1.3333150
 56  A*31-B*51-C*14-DRB1*16  Macedonia MBMDR - Macedonian Muslims 1.315876
 57  A*31-B*51-C*14  Brazil Parana Japanese 1.3000192
 58  B*51:01-C*14:02  Italy pop 5 1.3000975
 59  B*51:01-C*14:02  USA Hispanic 1.3000234
 60  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*13:02:01-DQB1*06:04  Russia Bashkortostan, Bashkirs 1.2500120
 61  A*02-B*51-C*14-DRB1*11-DQB1*03  Iraq Kurdistan Region 1.2000209
 62  A*24:02-B*51:01-C*14:02  China Guizhou Province Miao pop 2 1.200085
 63  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*02:01  Japan Central 1.2000371
 64  A*11-B*51-C*14:02-DRB1*08-DQB1*03  Russia North Ossetian 1.1800127
 65  A*02-B*51-C*14-DRB1*07  Macedonia MBMDR - Albanian 1.1719128
 66  B*15:16-C*14:02  USA African American pop 4 1.16302,411
 67  A*24:02-B*51:01-C*14:02  USA Asian 1.1000358
 68  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03-DPB1*02:01  Japan Central 1.1000371
 69  B*51:01-C*14:02  USA North American Native 1.1000187
 70  A*02:01-C*14:02  Italy pop 5 1.0800975
 71  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 72  A*33-B*44-C*14-DRB1*15  Myanmar Rakhine 1.042048
 73  B*51:01:01-C*14:02:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 74  A*24:02:01-C*14:02:01-DRB1*12:02:01  China Jingpo Minority 1.0310105
 75  A*01:01:01-B*37:01:01-C*14:02:01  South African Mixed ancestry 1.000050
 76  A*01:01-B*15:16-C*14:02  Kenya Nandi 1.0000240
 77  A*01:01-B*15:67-C*14:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*17:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 78  A*02-B*44-C*14  Italy East Sicily 1.000050
 79  A*11-B*51-C*14-DRB1*07-DQB1*03  Iraq Kurdistan Region 1.0000209
 80  A*24:02:01-B*51:19-C*14:02:01  South African Indian population 1.000050
 81  A*32:01:01-B*57:01:01-C*14:02:01  South African Indian population 1.000050
 82  A*33:03:01-B*52:01:01-C*14:02:01  South African Indian population 1.000050
 83  B*15:16-C*14:02  Kenya Nandi 1.0000240
 84  B*51:01-C*14:02  Mexico Oaxaca Mixe 1.000055
 85  B*51:01-C*14:02-DRB1*09:01  South Korea pop 3 1.0000485
 86  A*03:01-B*55:01-C*14:02-DRB1*16:02-DQA1*01:02-DQB1*05:02  United Arab Emirates Abu Dhabi 0.960052
 87  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
 88  A*24:02:01-C*14:02:01  China Jingpo Minority 0.9520105
 89  A*24:02:01-B*51:01:01-C*14:02:01  China Jingpo Minority 0.9450105
 90  A*11-B*51-C*14-DRB1*04  Myanmar Shan 0.926054
 91  A*11-B*51-C*14-DRB1*14  Myanmar Shan 0.926054
 92  A*11-B*51-C*14-DRB1*15  Myanmar Shan 0.926054
 93  A*24-B*51-C*14-DRB1*15  Myanmar Chin 0.909055
 94  A*68-B*07-C*14-DRB1*07  Myanmar Chin 0.909055
 95  A*24-B*40-C*14-DRB1*14  Iran pop 4 0.9000855
 96  A*68-B*51-C*14-DRB1*11  Iran pop 4 0.9000855
 97  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
 98  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
 99  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
 100  A*02-B*51-C*14  Brazil Parana Japanese 0.8500192

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 2,984) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 30  


   

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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