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 7,493) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 75  

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-B*41-DRB1*03:01-DQB1*02  Mexico Quintana Roo, Cancun 5.208348
 3  A*32:01-B*51:01  Oman 5.0000118
 4  A*32:01-B*51-C*14  Pakistan Karachi Parsi 4.900091
 5  A*32-B*49-C*07  Malaysia Perak Rawa 4.400023
 6  A*32-B*49-C*07-DRB1*10-DQB1*05  Malaysia Perak Rawa 4.400023
 7  A*32:01-B*51  Pakistan Baloch 3.900066
 8  A*32:01-G*01:01  Ecuador Amerindians 3.174663
 9  A*32:01-B*51-C*15  Pakistan Baloch 3.100066
 10  A*32-B*38-DRB1*07-DQB1*03:01  Mexico Campeche, Campeche city 2.941234
 11  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
 12  A*32:01-B*51-DRB1*01  Pakistan Baloch 2.800066
 13  A*32-B*08-C*07:02-DRB1*03-DQB1*02  Russia North Ossetian 2.8000127
 14  A*32-B*35-DRB1*16  United Arab Emirates 2.8000298
 15  A*32-B*40-C*02-DRB1*16  Macedonia MBMDR - Macedonian Muslims 2.631676
 16  A*32-B*44-C*02-DRB1*14  Macedonia MBMDR - Macedonian Muslims 2.631676
 17  A*32:01-B*49:01-DRB1*07:01  Azores Oriental Islands 2.600043
 18  A*32-B*51-C*16-DRB1*16  Iran pop 4 2.6000855
 19  A*32:01-B*35-DRB1*03  Pakistan Brahui 2.5000104
 20  A*32:01-B*44:03-C*04:01-DRB1*07:01  Russia Bering Island Aleuts 2.4038104
 21  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
 22  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
 23  A*32-B*49-DRB1*04-DQB1*03:02  Mexico Guanajuato, Guanajuato city 2.272722
 24  A*32:01-B*08:01-DRB1*03:01:01  Portugal North 2.200046
 25  A*32-B*41-DRB1*07-DQB1*03:03  Mexico Campeche Rural 2.127747
 26  A*32:01-B*40:02-C*02:02-DRB1*16:02-DQA1*01:02-DQB1*05:02  Kosovo 2.0160124
 27  A*32-B*08-C*07  Italy East Sicily 2.000050
 28  A*32-B*27-DRB1*15-DQB1*05  Mexico Quintana Roo Rural 2.000050
 29  A*32-B*51-DRB1*11  United Arab Emirates 1.9000298
 30  A*32:01-B*52:01-DRB1*15:02  Israel Morocco Jews 1.850036,718
 31  A*32:01-B*08:01  Oman 1.8000118
 32  A*32:01-B*51:01:01-DRB1*16:01:01  Bulgaria 1.800055
 33  A*32:01-B*35:05-DRB1*15:02  Malaysia Kelantan 1.785728
 34  A*32-B*14:02-DRB1*03:01-DQB1*02  Mexico Veracruz, Cordoba 1.785756
 35  A*32:01-B*39:01-DRB1*13:01  Sweden Northern Sami 1.7000154
 36  A*32:01-B*40:01-DRB1*04:04  Israel Libya Jews 1.68003,739
 37  A*32:01-B*07:02:01-DRB1*12:01:01  Cape Verde Northwestern Islands 1.600062
 38  A*32-B*40-C*02-DRB1*11  Macedonia MBMDR - Albanian 1.5625128
 39  A*32-B*44-DRB1*11-DQB1*03:01  Mexico Mexico City West 1.470633
 40  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
 41  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
 42  A*32:01-B*49:01-DRB1*11:04  Israel Druze 1.45005,914
 43  A*32-B*46-DRB1*12-DQB1*03:01  Mexico Jalisco, Tonala 1.428635
 44  A*32-B*51-DRB1*04-DQB1*03:01  Mexico Jalisco, Tonala 1.428635
 45  A*32:01-B*07:02  Cuba Caucasian 1.400070
 46  A*32-B*27-DRB1*01-DQB1*05  Mexico Coahuila, Saltillo 1.369972
 47  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
 48  A*32-B*48-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 49  A*32-B*51-C*15-DRB1*11  Macedonia MBMDR - Macedonian Muslims 1.315876
 50  A*32:01-B*14:01-DRB1*15:01  Azores Oriental Islands 1.300043
 51  A*32:01-B*35:01  Oman 1.3000118
 52  A*32:01-B*39:06-DRB1*08:01  Azores Oriental Islands 1.300043
 53  A*32-B*14:01-DRB1*08-DQB1*03:01  Ecuador Amazonia Mixed Ancestry 1.282139
 54  A*32-B*35-DRB1*04-DQB1*03:02  Ecuador Amazonia Mixed Ancestry 1.282139
 55  A*32-B*50-DRB1*01-DQB1*05  Mexico Jalisco, Tlaquepaque 1.282139
 56  A*32-B*53-DRB1*13-DQB1*06  Mexico Jalisco, Tlaquepaque 1.282139
 57  A*32:01-B*41:02-DRB1*13:03  Gaza 1.282042
 58  A*32-B*55-DRB1*04-DQB1*03:02  Mexico Hidalgo, Pachuca 1.219541
 59  A*32:01-B*14:01-C*08:02  Ireland South 1.2000250
 60  A*32:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:02  Ireland South 1.2000250
 61  A*32-B*40-DRB1*13:01  Tunisia pop 3 1.2000104
 62  A*32-B*13-C*06:02-DRB1*07-DQB1*02  Russia North Ossetian 1.1800127
 63  A*32-B*44-C*05:01-DRB1*04-DQB1*03  Russia North Ossetian 1.1800127
 64  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
 65  A*32-B*44-C*05-DRB1*15  Macedonia MBMDR - Albanian 1.1719128
 66  A*32-B*15:01-DRB1*15-DQB1*06  Mexico Queretaro Rural 1.162843
 67  A*32:01-B*53:01-DRB1*03:01  Israel YemenJews 1.140015,542
 68  A*32-B*50-DRB1*13-DQB1*06  Mexico Colima Rural 1.136443
 69  A*32:01-B*14:02-DRB1*11:02  Portugal North 1.100046
 70  A*32:01-B*15:01  USA Caucasian pop 2 1.1000265
 71  A*32:01-B*35:01:01-DRB1*15:01:01  Portugal North 1.100046
 72  A*32:01-B*49:01-DRB1*04:01:01  Portugal North 1.100046
 73  A*32:01-B*51:01:01-C*15:02:01-DRB1*01:01  Iran Baloch 1.1000100
 74  A*32-B*40-DRB1*16  Albania pop 2 1.1000432
 75  A*32:01-B*18:01-DRB1*11:04  Israel Morocco Jews 1.090036,718
 76  A*32:01-B*39:05-C*17:01-DRB1*04:07-DQB1*06:04  Colombia North Chimila Amerindians 1.063847
 77  A*32-B*40:02-DRB1*07-DQB1*03:03  Mexico Campeche Rural 1.063847
 78  A*32-B*18-DRB1*03:01-DQB1*02  Mexico Tabasco Rural 1.0563142
 79  A*32-DRB1*11  Macedonia 1.0490286
 80  A*32-B*50-DRB1*07-DQB1*02  Mexico Nayarit, Tepic 1.030997
 81  A*32-B*51-DRB1*16-DQB1*05  Mexico Sonora, Hermosillo 1.010199
 82  A*32:01:01-B*07:02:01-C*02:10  South African Mixed ancestry 1.000050
 83  A*32:01:01-B*44:03:01-C*08:02:01  South African Indian population 1.000050
 84  A*32:01:01-B*51:01:01-C*16:02:01  South African Indian population 1.000050
 85  A*32:01:01-B*57:01:01-C*14:02:01  South African Indian population 1.000050
 86  A*32:01-B*07:05  South Africa Natal Zulu 1.0000100
 87  A*32:01-B*14:01  South Africa Natal Zulu 1.0000100
 88  A*32:01-B*15:01:01:01-DRB1*03:01:01  Portugal Center 1.000050
 89  A*32:01-B*18:01:01-DRB1*13:01:01  Portugal South 1.000049
 90  A*32:01-B*35:01:01-DRB1*01:03  Portugal South 1.000049
 91  A*32:01-B*37:01-DRB1*15:01:01  Portugal Center 1.000050
 92  A*32:01-B*44:02:01-DRB1*11:01:01  Portugal South 1.000049
 93  A*32:01-B*44:02-C*05:01  Ireland South 1.0000250
 94  A*32:01-B*45:01-DRB1*09:01:02  Portugal Center 1.000050
 95  A*32:01-B*51:01:01-DRB1*01:02:01  Portugal Center 1.000050
 96  A*32:01-B*81:01  Kenya Nandi 1.0000240
 97  A*32:01-B*81:01-C*08:04  Kenya Nandi 1.0000240
 98  A*32-B*07-C*07  Italy East Sicily 1.000050
 99  A*32-B*07-DRB1*11-DQB1*03:01  Mexico Quintana Roo Rural 1.000050
 100  A*32-B*13-C*06  Italy East Sicily 1.000050

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 7,493) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 75  


   

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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