Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 4,818) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 49  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*32:01-B*41-DRB1*10:01-DQB1*05:01  Tunisia Ghannouch 5.500082
 2  A*32:01-B*51:01  Oman 5.0000118
 3  A*32:01-B*51-C*14  Pakistan Karachi Parsi 4.900091
 4  A*32:01-B*51  Pakistan Baloch 3.900066
 5  A*32:01-G*01:01  Ecuador Amerindians 3.174663
 6  A*32:01-B*51-C*15  Pakistan Baloch 3.100066
 7  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 2.880052
 8  A*32:01-B*51-DRB1*01  Pakistan Baloch 2.800066
 9  A*32:01-B*49:01-DRB1*07:01  Azores Oriental Islands 2.600043
 10  A*32:01-B*35-DRB1*03  Pakistan Brahui 2.5000104
 11  A*32:01-B*44:03-C*04:01-DRB1*07:01  Russia Bering Island Aleuts 2.4038104
 12  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*10:01:01-DQB1*03:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 13  A*32:01:01-B*39:09:01-C*07:02:01-DRB1*08:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 14  A*32:01-B*08:01-DRB1*03:01:01  Portugal North 2.200046
 15  A*32:01-B*40:02-C*02:02-DRB1*16:02-DQA1*01:02-DQB1*05:02  Kosovo 2.0160124
 16  A*32:01-B*52:01-DRB1*15:02  Israel Morocco Jews 1.850036,718
 17  A*32:01-B*08:01  Oman 1.8000118
 18  A*32:01-B*51:01:01-DRB1*16:01:01  Bulgaria 1.800055
 19  A*32:01-B*35:05-DRB1*15:02  Malaysia Kelantan 1.785728
 20  A*32:01-B*39:01-DRB1*13:01  Sweden Northern Sami 1.7000154
 21  A*32:01-B*40:01-DRB1*04:04  Israel Libya Jews 1.68003,739
 22  A*32:01-B*07:02:01-DRB1*12:01:01  Cape Verde Northwestern Islands 1.600062
 23  A*32:01:01-B*27:03-C*02:02:02-DRB1*08:04:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Black 1.470668
 24  A*32:01:01-B*57:01:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 25  A*32:01-B*49:01-DRB1*11:04  Israel Druze 1.45005,914
 26  A*32:01-B*07:02  Cuba Caucasian 1.400070
 27  A*32:01:01-B*48:04:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 1.3441186
 28  A*32:01-B*14:01-DRB1*15:01  Azores Oriental Islands 1.300043
 29  A*32:01-B*35:01  Oman 1.3000118
 30  A*32:01-B*39:06-DRB1*08:01  Azores Oriental Islands 1.300043
 31  A*32:01-B*41:02-DRB1*13:03  Gaza 1.282042
 32  A*32:01-B*14:01-C*08:02  Ireland South 1.2000250
 33  A*32:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Ireland South 1.2000250
 34  A*32:01:01-B*42:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 1.1765170
 35  A*32:01-B*53:01-DRB1*03:01  Israel YemenJews 1.140015,542
 36  A*32:01-B*14:02-DRB1*11:02  Portugal North 1.100046
 37  A*32:01-B*15:01  USA Caucasian pop 2 1.1000265
 38  A*32:01-B*35:01:01-DRB1*15:01:01  Portugal North 1.100046
 39  A*32:01-B*49:01-DRB1*04:01:01  Portugal North 1.100046
 40  A*32:01-B*51:01:01-C*15:02:01-DRB1*01:01  Iran Baloch 1.1000100
 41  A*32:01-B*18:01-DRB1*11:04  Israel Morocco Jews 1.090036,718
 42  A*32:01-B*39:05-C*17:01-DRB1*04:07-DQB1*06:04  Colombia North Chimila Amerindians 1.063847
 43  A*32:01:01-B*07:02:01-C*02:10  South African Mixed ancestry 1.000050
 44  A*32:01:01-B*44:03:01-C*08:02:01  South African Indian population 1.000050
 45  A*32:01:01-B*51:01:01-C*16:02:01  South African Indian population 1.000050
 46  A*32:01:01-B*57:01:01-C*14:02:01  South African Indian population 1.000050
 47  A*32:01-B*07:05  South Africa Natal Zulu 1.0000100
 48  A*32:01-B*14:01  South Africa Natal Zulu 1.0000100
 49  A*32:01-B*15:01:01:01-DRB1*03:01:01  Portugal Center 1.000050
 50  A*32:01-B*18:01:01-DRB1*13:01:01  Portugal South 1.000049
 51  A*32:01-B*35:01:01-DRB1*01:03  Portugal South 1.000049
 52  A*32:01-B*37:01-DRB1*15:01:01  Portugal Center 1.000050
 53  A*32:01-B*44:02:01-DRB1*11:01:01  Portugal South 1.000049
 54  A*32:01-B*44:02-C*05:01  Ireland South 1.0000250
 55  A*32:01-B*45:01-DRB1*09:01:02  Portugal Center 1.000050
 56  A*32:01-B*51:01:01-DRB1*01:02:01  Portugal Center 1.000050
 57  A*32:01-B*81:01  Kenya Nandi 1.0000240
 58  A*32:01-B*81:01-C*08:04  Kenya Nandi 1.0000240
 59  A*32:01-B*07:02-C*07:02-DRB1*15:01  Russia Bering Island Aleuts 0.9615104
 60  A*32:01-B*15:220-C*12:03-DRB1*11:01-DQA1*05:05-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 61  A*32:01-B*35:08-C*04:01-DRB1*15:02-DQA1*01:03-DQB1*06:02  United Arab Emirates Abu Dhabi 0.960052
 62  A*32:01-B*39:10-C*04:01-DRB1*08:04-DQA1*05:05-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 63  A*32:01-B*44:02-C*08:01-DRB1*12:02-DQA1*05:05-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 64  A*32:01-B*50:01-C*15:13-DRB1*07:01-DQA1*02:01-DQB1*03:02  United Arab Emirates Abu Dhabi 0.960052
 65  A*32:01-B*51:01-C*07:02-DRB1*15:01-DQA1*05:05-DQB1*05:02  United Arab Emirates Abu Dhabi 0.960052
 66  A*32:01-B*52:01-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:01  United Arab Emirates Abu Dhabi 0.960052
 67  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 68  A*32:01:01-B*42:02-C*17:01-DRB1*13:03:02-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 69  A*32:01:01-B*53:01:01-C*04:01:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.9091110
 70  A*32:01-B*39:01-DRB1*01:01-DQB1*03:03  Iran Yazd 0.892956
 71  A*32:01-B*50:01-DRB1*07:01-DQB1*03:03  Iran Yazd 0.892956
 72  A*32:01-B*57:01-DRB1*04:01-DQB1*03:01  Iran Yazd 0.892956
 73  A*32:01-B*51:01-DRB1*11:04  Israel Druze 0.88705,914
 74  A*32:01-C*04:01  Italy pop 5 0.8800975
 75  A*32:01-B*14:01-C*08:02-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
 76  A*32:01-B*07:02-DRB1*15:01-DQB1*06:02  Iran Saqqez-Baneh Kurds 0.833360
 77  A*32:01-B*13:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 0.833360
 78  A*32:01-B*44:02-DRB1*11:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 0.833360
 79  A*32:01-B*52:01-DRB1*03:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 0.833360
 80  A*32:01-B*55:01-DRB1*03:01-DQB1*06:03  Iran Saqqez-Baneh Kurds 0.833360
 81  A*32:01-B*55:01-DRB1*11:01-DQB1*05:02  Iran Saqqez-Baneh Kurds 0.833360
 82  A*32:01-B*38:01-C*12:03-DRB1*15:01-DQA1*01:02-DQB1*06:02  Kosovo 0.8060124
 83  A*32:01-B*58:02-C*06:02-DRB1*14:54-DQB1*05:01-DPB1*55:01  Tanzania Maasai 0.7987336
 84  A*32:01-B*18:01-C*12:03-DRB1*15:01-DQB1*03:01  Iran Gorgan 0.780064
 85  A*32:01-B*51:01-C*16:02-DRB1*03:01-DQB1*05:02  Iran Gorgan 0.780064
 86  A*32:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:01  Iran Gorgan 0.780064
 87  A*32:01-B*44:02-DRB1*11:04  Israel Iraq Jews 0.775013,270
 88  A*32:01-B*15:01-DRB1*04:03-DQB1*03:02  Chile Mapuche 0.770066
 89  A*32:01-B*15:03-DRB1*13:02-DQB1*06:04  Chile Mapuche 0.770066
 90  A*32:01-B*15:17-DRB1*13:02  Israel Iraq Jews 0.747013,270
 91  A*32:01-B*41:01-C*17:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Tixcacaltuyub Maya 0.746367
 92  A*32:01-B*51:01-C*01:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  Mexico Tixcacaltuyub Maya 0.746367
 93  A*32:01-B*53:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 94  A*32:01-B*50:01-DRB1*07:01  Israel Iran Jews 0.70908,153
 95  A*32:01-B*35:08-DRB1*11:04  Israel Druze 0.70505,914
 96  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 97  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*04:02:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.7000215
 98  A*32:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.7000215
 99  A*32:01:01-B*14:01:01-C*08:02:01  England Blood Donors of Mixed Ethnicity 0.6686519
 100  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01  Nicaragua Mestizo (G) 0.6452155

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 4,818) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 49  


   

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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