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 1,572) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  

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*66:01:01-B*58:02:01-C*06:02:01-DRB1*08:07-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 8  A*66-B*41-DRB1*11-DQB1*03:01  Mexico San Luis Potosi Rural 2.298987
 9  A*66:01-B*58:02  Uganda Kampala 1.9000161
 10  A*66:01-B*58:02-C*06:02  Uganda Kampala 1.9000161
 11  A*66-B*58-DRB1*07  United Arab Emirates 1.9000298
 12  A*66:03-B*35:01-C*04:01-DRB1*11:01  Brazil Vale do Ribeira Quilombos 1.7361144
 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*66:01:01-B*35:03:01-C*04:01:01-DRB1*13:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Black 1.470668
 19  A*66:01-B*41:01-C*17:01-DRB1*07:01  Brazil Vale do Ribeira Quilombos 1.3889144
 20  A*66:01-B*41:02  Cuba Caucasian 1.300070
 21  A*66-B*39-DRB1*07:01-DQB1*02:01  Colombia San Basilio de Palenque 1.191042
 22  A*66:01-B*35:01  Cameroon Yaounde 1.100092
 23  A*66:01-B*45:01  Kenya Nandi 1.1000240
 24  A*66:01-B*58:02  Cameroon Yaounde 1.100092
 25  A*66:01-B*41:02-DRB1*13:03  Israel Tunisia Jews 1.07009,070
 26  A*66:01-B*41:02-DRB1*13:03  Israel Bukhara Jews 1.06002,317
 27  A*66:01-B*41:02-DRB1*13:03  Israel Libya Jews 1.02003,739
 28  A*66:01-B*15:03  South Africa Natal Zulu 1.0000100
 29  A*66:01-B*35:02-DRB1*13:02:01  Portugal Center 1.000050
 30  A*66:01-B*41:02-DRB1*16:01:01  Portugal South 1.000049
 31  A*66:01-B*45:01-C*06:02  Kenya Nandi 1.0000240
 32  A*66:01-B*57:01:01-DRB1*07:01:01  Portugal Center 1.000050
 33  A*66:01-B*58:02-C*06:02:01  South African Mixed ancestry 1.000050
 34  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
 35  A*66-B*41-DRB1*15-DQB1*06  Mexico Baja California Rural 1.000050
 36  A*66-B*47-DRB1*11-DQB1*03:01  Mexico Baja Californa, Mexicali 1.0000100
 37  A*66-B*49-DRB1*03:01-DQB1*02  Mexico Mexico City South 0.961552
 38  A*66:01-B*40:06-C*03:02-DRB1*16:02-DQA1*01:02-DQB1*06:02  United Arab Emirates Abu Dhabi 0.960052
 39  A*66-B*35-DRB1*04:03-DQB1*03:01  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 40  A*66:01-B*41:02-DRB1*11:04  Israel Kavkazi Jews 0.92502,840
 41  A*66-B*18-DRB1*15-DQB1*06  Mexico Veracruz, Cordoba 0.892956
 42  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  Mexico Mexico City Mestizo pop 2 0.8600234
 43  A*66:01-B*07:02-DRB1*01:02  Israel Ethiopia Jews 0.82705,928
 44  A*66-B*57-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.8264121
 45  A*66:01-G*01:01  Ecuador Amerindians 0.793763
 46  A*66:03-B*08:01-C*06:02-DRB1*15:01-DQB1*06:02  Iran Gorgan 0.780064
 47  A*66-B*51-C*17:01-DRB1*08-DQB1*04  Russia North Ossetian 0.7800127
 48  A*66-B*15-DRB1*03  Iran pop 4 0.7703855
 49  A*66:01-B*41:02-DRB1*13:03  Israel Ethiopia Jews 0.72805,928
 50  A*66-B*41  Russia South Ural Tatar 0.7000135
 51  A*66:01:01-B*41:02:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 52  A*66:01:01-B*48:01:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 53  A*66:01-B*39:10-C*12:03-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.6944144
 54  A*66-B*55-DRB1*08-DQB1*04  Mexico Baja California, La Paz 0.666775
 55  A*66:01-B*35:08-DRB1*04:03  Israel Druze 0.65805,914
 56  A*66-B*50-DRB1*15-DQB1*06  Mexico Mexico City Metropolitan Area Rural 0.6579150
 57  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
 58  A*66:01-B*58:01-DRB1*15:01-DQB1*06:01  Mexico Veracruz Xalapa 0.595284
 59  A*66:02-B*58:01:01-C*07:18:01-DRB1*15:03:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 60  A*66-B*57-DRB1*13:01  Colombia Barranquilla 0.5300188
 61  A*66:01-B*41:02-DRB1*07:01  Israel Ethiopia Jews 0.52805,928
 62  A*66-B*51-DRB1*03:02-DQB1*04  Mexico Aguascalientes state 0.526395
 63  A*66:01-B*51:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 0.515597
 64  A*66-B*41-DRB1*13-DQB1*06  Mexico Nayarit, Tepic 0.515597
 65  A*66-B*42-DRB1*13-DQB1*02  Mexico Nayarit, Tepic 0.515597
 66  A*66-B*41-DRB1*04-DQB1*03:02  Mexico Sonora, Hermosillo 0.505199
 67  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
 68  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
 69  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
 70  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
 71  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
 72  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
 73  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
 74  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
 75  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
 76  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
 77  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
 78  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
 79  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
 80  A*66-B*41-DRB1*13  Russia Moscow Pop 2 0.50002,000
 81  A*66-B*57-DRB1*11-DQB1*06  Mexico Baja Californa, Mexicali 0.5000100
 82  A*66-B*58-DRB1*13  Brazil South Ribeirao Preto 0.5000184
 83  A*66:01:01-B*41:02:01-C*12:03:01-DRB1*13:03:01  Costa Rica African -Caribbean (G) 0.4902102
 84  A*66:01:01-B*57:04-C*18:01-DRB1*16:02:01  Costa Rica African -Caribbean (G) 0.4902102
 85  A*66:02-B*15:03:01-C*03:02:01-DRB1*15:03  Costa Rica African -Caribbean (G) 0.4902102
 86  A*66:02-B*39:10:01-C*07:01:01-DRB1*11:04:02  Costa Rica African -Caribbean (G) 0.4902102
 87  A*66:02-B*40:16-C*16:01:01-DRB1*15:03  Costa Rica African -Caribbean (G) 0.4902102
 88  A*66:02-B*52:01:02-C*16:01:01-DRB1*15:03  Costa Rica African -Caribbean (G) 0.4902102
 89  A*66:03-B*39:10:01-C*12:03:01-DRB1*07:01  Costa Rica African -Caribbean (G) 0.4902102
 90  A*66-B*41-DRB1*13-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 91  A*66-B*49-DRB1*03:01-DQB1*02  Mexico Zacatecas, Fresnillo 0.4762103
 92  A*66-B*49-DRB1*11-DQB1*03:01  Mexico Zacatecas, Fresnillo 0.4762103
 93  A*66:01:01-B*41:02:01-C*17:01-DRB1*13:03:02-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 94  A*66:01-B*41:02-C*17:01-DRB1*13:03  Poland DKMS 0.461420,653
 95  A*66-B*53-DRB1*13-DQB1*06  Mexico Coahuila Rural 0.4587216
 96  A*66:01:01-B*18:01:01-C*02:10-DRB1*13:03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 97  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 98  A*66:01-B*41:02-DRB1*07:01  Israel Georgia Jews 0.44604,471
 99  A*66:01-B*38:01-DRB1*11:04  Israel USA Jews 0.44506,058
 100  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA NMDP Caribean Indian 0.444814,339

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 1,572) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 16  


   

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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