Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 1,337) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*66:01-B*58:02-C*06:02  Kenya Luo 5.1000265
 2  A*66:01-B*58:02  Kenya Luo 4.9000265
 3  A*66:01-B*35-DRB1*04:02/04:03-DQB1*03:02  Tunisia Ghannouch 3.700082
 4  A*66-B*41-DRB1*13:03-DQB1*03:01  Peru Lamas City Lama 3.600083
 5  A*66:01-B*58:02  Kenya Nandi 2.9000240
 6  A*66:01-B*58:02-C*06:02  Kenya Nandi 2.9000240
 7  A*66-B*41-DRB1*11-DQB1*03:01  Mexico San Luis Potosi Rural 2.298987
 8  A*66:01-B*58:02  Uganda Kampala 1.9000161
 9  A*66:01-B*58:02-C*06:02  Uganda Kampala 1.9000161
 10  A*66-B*58-DRB1*07  United Arab Emirates 1.9000298
 11  A*66:03-B*35:01-C*04:01-DRB1*11:01  Brazil Vale do Ribeira Quilombos 1.7361144
 12  A*66-B*41-DRB1*11-DQB1*03:01  Mexico San Luis Potosi state 1.7094117
 13  A*66-B*58-DRB1*13  Mozambique 1.7000202
 14  A*66-B*35-DRB1*04-DQB1*03:02  Mexico San Luis Potosi, San Luis Potosi city 1.666730
 15  A*66-B*47-DRB1*11-DQB1*03:01  Mexico Jalisco, Tlajomulco 1.666730
 16  A*66:01-B*45:01-DRB1*10:01  Guinea Bissau 1.500065
 17  A*66:02-B*42:01  South Africa Natal Zulu 1.5000100
 18  A*66:01-B*41:01-C*17:01-DRB1*07:01  Brazil Vale do Ribeira Quilombos 1.3889144
 19  A*66:01-B*41:02  Cuba Caucasian 1.300070
 20  A*66-B*39-DRB1*07:01-DQB1*02:01  Colombia San Basilio de Palenque 1.191042
 21  A*66:01-B*35:01  Cameroon Yaounde 1.100092
 22  A*66:01-B*45:01  Kenya Nandi 1.1000240
 23  A*66:01-B*58:02  Cameroon Yaounde 1.100092
 24  A*66:01-B*41:02-DRB1*13:03  Israel Tunisia Jews 1.07009,070
 25  A*66:01-B*41:02-DRB1*13:03  Israel Bukhara Jews 1.06002,317
 26  A*66:01-B*41:02-DRB1*13:03  Israel Libya Jews 1.02003,739
 27  A*66:01-B*15:03  South Africa Natal Zulu 1.0000100
 28  A*66:01-B*35:02-DRB1*13:02:01  Portugal Center 1.000050
 29  A*66:01-B*41:02-DRB1*16:01:01  Portugal South 1.000049
 30  A*66:01-B*45:01-C*06:02  Kenya Nandi 1.0000240
 31  A*66:01-B*57:01:01-DRB1*07:01:01  Portugal Center 1.000050
 32  A*66:01-B*58:02-C*06:02:01  South African Mixed ancestry 1.000050
 33  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:02-DPB1*19:01  South Africa Worcester 1.0000159
 34  A*66-B*41-DRB1*15-DQB1*06  Mexico Baja California Rural 1.000050
 35  A*66-B*47-DRB1*11-DQB1*03:01  Mexico Baja Californa, Mexicali 1.0000100
 36  A*66-B*49-DRB1*03:01-DQB1*02  Mexico Mexico City South 0.961552
 37  A*66:01-B*41:02-DRB1*11:04  Israel Kavkazi Jews 0.92502,840
 38  A*66-B*18-DRB1*15-DQB1*06  Mexico Veracruz, Cordoba 0.892956
 39  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  Mexico Mexico City Mestizo pop 2 0.8600234
 40  A*66:01-B*07:02-DRB1*01:02  Israel Ethiopia Jews 0.82705,928
 41  A*66-B*57-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.8264121
 42  A*66:01-G*01:01  Ecuador Amerindians 0.793763
 43  A*66-B*51-C*17:01-DRB1*08-DQB1*04  Russia North Ossetian 0.7800127
 44  A*66:01-B*41:02-DRB1*13:03  Israel Ethiopia Jews 0.72805,928
 45  A*66-B*41  Russia South Ural Tatar 0.7000135
 46  A*66:01-B*39:10-C*12:03-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.6944144
 47  A*66-B*55-DRB1*08-DQB1*04  Mexico Baja California, La Paz 0.666775
 48  A*66:01-B*35:08-DRB1*04:03  Israel Druze 0.65805,914
 49  A*66-B*50-DRB1*15-DQB1*06  Mexico Mexico City Metropolitan Area Rural 0.6579150
 50  A*66:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*09:01  South Africa Worcester 0.6000159
 51  A*66-B*57-DRB1*04-DQB1*03:02  Mexico Chiapas state 0.5747173
 52  A*66-B*57-DRB1*13:01  Colombia Barranquilla 0.5300188
 53  A*66:01-B*41:02-DRB1*07:01  Israel Ethiopia Jews 0.52805,928
 54  A*66-B*51-DRB1*03:02-DQB1*04  Mexico Aguascalientes state 0.526395
 55  A*66-B*41-DRB1*13-DQB1*06  Mexico Nayarit, Tepic 0.515597
 56  A*66-B*42-DRB1*13-DQB1*02  Mexico Nayarit, Tepic 0.515597
 57  A*66-B*41-DRB1*04-DQB1*03:02  Mexico Sonora, Hermosillo 0.505199
 58  A*66:01-B*07:02-C*15:05-DRB1*11:01-DQA1*01:02-DQB1*02:01-DPB1*34:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 59  A*66:01-B*15:10-C*06:02-DRB1*13:01-DQA1*01:01-DQB1*03:03-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 60  A*66:01-B*35:01-C*03:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 61  A*66:01-B*44:03-C*14:03-DRB1*12:01-DQA1*01:01-DQB1*06:02-DPB1*13:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 62  A*66:01-B*57:03-C*18:01-DRB1*03:02-DQA1*02:01-DQB1*02:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 63  A*66:01-B*58:01-C*06:02-DRB1*04:05-DQA1*03:01-DQB1*02:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 64  A*66:01-B*58:02-C*06:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 65  A*66:01-B*58:02-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 66  A*66:01-B*81:01-C*04:01-DRB1*03:81-DQA1*05:01-DQB1*05:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 67  A*66:01-B*81:01-C*04:01-DRB1*13:03-DQA1*05:01-DQB1*05:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 68  A*66:02-B*57:03-C*06:02-DRB1*13:01-DQA1*05:01-DQB1*05:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 69  A*66:02-B*58:01-C*07:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 70  A*66:02-B*58:02-C*18:01-DRB1*13:01-DQA1*01:02-DQB1*03:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 71  A*66-B*41-DRB1*13  Russia Moscow pop 2 0.50002,000
 72  A*66-B*57-DRB1*11-DQB1*06  Mexico Baja Californa, Mexicali 0.5000100
 73  A*66-B*58-DRB1*13  Brazil South Ribeirao Preto 0.5000184
 74  A*66-B*41-DRB1*13-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 75  A*66-B*49-DRB1*03:01-DQB1*02  Mexico Zacatecas, Fresnillo 0.4762103
 76  A*66-B*49-DRB1*11-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 77  A*66:01-B*41:02-C*17:01-DRB1*13:03  Poland DKMS 0.461420,653
 78  A*66-B*53-DRB1*13-DQB1*06  Mexico Coahuila Rural 0.4587216
 79  A*66:01-B*41:02-DRB1*07:01  Israel Georgia Jews 0.44604,471
 80  A*66:01-B*38:01-DRB1*11:04  Israel USA Jews 0.44506,058
 81  A*66:01-B*07:20-C*17:01-E*01:01:01-F*01:01:02-G*01:01-DRB1*11:01-DQA1*05:05-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 82  A*66:01-B*35:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*11:01-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 83  A*66:01-B*42:02-C*17:03-E*01:03:02-F*01:01:01-G*01:01-DRB1*16:01-DQA1*01:02-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 84  A*66-B*49-DRB1*03:01-DQB1*02  Mexico Michoacan Rural 0.4298348
 85  A*66:01-B*39:10-C*12:03-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4274234
 86  A*66-B*35-DRB1*04-DQB1*03:02  Mexico San Luis Potosi state 0.4274117
 87  A*66:01-B*58:02  USA African American pop 4 0.42502,411
 88  A*66-B*07-DRB1*01-DQB1*05  Mexico Chihuahua, Chihuahua city 0.4202119
 89  A*66-B*45-DRB1*13-DQB1*06  Mexico Chiapas Rural 0.4132121
 90  A*66-B*57-DRB1*01-DQB1*05  Mexico Chiapas Rural 0.4132121
 91  A*66-B*47-DRB1*11-DQB1*03:01  Mexico Baja California 0.3984250
 92  A*66-B*49-DRB1*01-DQB1*05  Mexico Yucatan Rural 0.3731132
 93  A*66:02-B*58:01  USA African American pop 4 0.37102,411
 94  A*66-B*41-DRB1*13  Italy Lombardy 0.3700674
 95  A*66:01-B*41:02-DRB1*11:04  Israel USA Jews 0.35606,058
 96  A*66:01-B*41:01-DRB1*13:03  Israel Druze 0.35505,914
 97  A*66:01-B*38:01-DRB1*11:04  Israel Argentina Jews 0.35404,307
 98  A*66-B*45-DRB1*12-DQB1*03:01  Mexico Tabasco Rural 0.3521142
 99  A*66-B*49-DRB1*11-DQB1*03:01  Mexico Tabasco Rural 0.3521142
 100  A*66-B*49-DRB1*11-DQB1*06  Mexico Tabasco Rural 0.3521142

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 1,337) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  


   

Allele frequency net 2015 update: new features for HLA epitopes, KIR and disease and HLA adverse drug reaction associations.
Gonzalez-Galarza FF, Takeshita LY, Santos EJ, Kempson F, Maia MH, Silva AL, Silva AL, Ghattaoraya GS, Alfirevic A, Jones AR and Middleton D Nucleic Acid Research 2015, 39, 28, D784-8.
Liverpool, U.K.

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