Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 691) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DQA1*01:02-DQB1*06:09  Ecuador African 8.600058
 2  DQA1*01:02-DQB1*06:09  Tunisia 6.1000100
 3  DQA1*01:02-DQB1*06:09  Gambia 4.4000146
 4  DQA1*01:02-DQB1*06:09  Uganda Baganda 4.300047
 5  DQA1*01:02-DQB1*06:09  China, Xinjiang Uyghur Autonomous Region Han 4.290070
 6  DQA1*01:02-DQB1*06:09  Russia Tuva pop 2 4.1000169
 7  DQA1*01:02-DQB1*06:09  China, Xinjiang Uyghur Autonomous Region Hui 3.750040
 8  DRB1*13:02-DQA1*01:02:01-DQB1*06:09  South Korea pop 5 3.6000467
 9  DQA1*01:02-DQB1*06:09  Cameroon Saa 3.5000172
 10  DRB1*13:02-DQB1*06:09  Tunisia 3.5000100
 11  DRB1*13:02-DQA1*01:02-DQB1*06:09  Congo Kinshasa Bantu 3.400090
 12  B*58:01-DRB1*13:02-DQB1*06:09  South Korea pop 3 3.3000485
 13  DRB1*13:02-DQB1*06:09  Taiwan pop 2 3.2000364
 14  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  South Korea pop 3 3.0000485
 15  DRB1*13:02-DQA1*01:02-DQB1*06:09  Tunisia 3.0000100
 16  DRB1*13:02-DQB1*06:09  USA African American pop 4 2.92702,411
 17  DQA1*01:02-DQB1*06:09  China, Xinjiang Uyghur Autonomous Region Kazakh 2.880052
 18  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Korean 2.716577,584
 19  A*11:01:01-B*50:01:01-C*06:02:01-DRB1*04:04:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 20  DRB1*13:02-DQB1*06:09  Mexico Oaxaca Zapotec 2.300090
 21  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  South Korea pop 11 2.1000149
 22  DRB1*13:02-DQB1*06:09  USA Asian pop 2 1.85301,772
 23  DQA1*01:03-DQB1*06:09  Ecuador African 1.700058
 24  DRB1*13:02-DQA1*01:02-DQB1*06:09  Cameroon Yaounde 1.600092
 25  A*29:02:01-B*15:03:01-C*02:10:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Rio de Janeiro Black 1.470668
 26  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*30:01:01  Brazil Rio de Janeiro Black 1.470668
 27  DRB1*13:02-DQB1*06:09-DPB1*17:01  Gambia pop 3 1.4131939
 28  DRB1*13:02:01-DQB1*06:09  China Inner Mongolia Autonomous Region Northeast 1.4110496
 29  DQA1*01:02-DQB1*06:09  China, Xinjiang Uyghur Autonomous Region Uyghur 1.410071
 30  DRB1*13:02-DQA1*01:02-DQB1*06:09  USA San Francisco Caucasian 1.4000220
 31  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  USA Asian pop 2 1.37701,772
 32  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 1.35381,734
 33  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Vietnamese 1.304843,540
 34  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Chinese 1.262599,672
 35  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:09  Kosovo 1.2100124
 36  A*03:01-B*14:02:01-C*08:02-DRB1*13:02:01-DQB1*06:09  England North West 1.2000298
 37  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  South Korea pop 2 1.2000207
 38  DRB1*13:02-DQB1*06:09-DPB1*01:01  Gambia pop 3 1.1690939
 39  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 1.1240356
 40  DQA1*01:03-DQB1*06:09  Uganda Baganda 1.100047
 41  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*05:01  South Korea pop 11 1.1000149
 42  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*09:01  China Canton Han 1.1000264
 43  DRB1*13:01-DQB1*06:09  Vietnam Hanoi Kinh 1.0000103
 44  DRB1*13:02-DQB1*06:09  Vietnam Hanoi Kinh 1.0000103
 45  A*03:01-B*14:11-C*08:02-DRB1*13:02-DQB1*06:09  Colombia North Wiwa El Encanto 0.961552
 46  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.8394833
 47  A*24-B*15-DRB1*04:04-DQB1*06:09  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 48  A*02:01-B*47:03-C*07:01-DRB1*13:02-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.7987336
 49  DRB1*13:02-DQB1*06:09-DPB1*02:01  Gambia pop 3 0.7906939
 50  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*03:01  Sri Lanka Colombo 0.7703714
 51  A*11:01-B*08:01-DRB1*13:02-DQB1*06:09  Chile Mapuche 0.770066
 52  A*31:01-B*58:01-DRB1*13:02-DQB1*06:09  Chile Mapuche 0.770066
 53  A*80:01-B*44:03-DRB1*13:02-DQB1*06:09  Chile Mapuche 0.770066
 54  DRB1*13:02-DQA1*01:02-DQB1*06:09  USA European American 0.71001,899
 55  DRB1*15:01-DQB1*06:09  Mexico Nahua/Aztec Santo Domingo Ocotitlan 0.684973
 56  DRB1*13:01-DQB1*06:09-DMB*01:03  Ecuadorean Amerindians 0.666775
 57  DRB1*13:02-DQB1*06:09-DMB*01:02  Ecuadorean Amerindians 0.666775
 58  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Southeast Asian 0.658827,978
 59  DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.64901,999
 60  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP South Asian Indian 0.6448185,391
 61  A*02:01-B*51:01-C*16:01-DRB1*13:02-DQB1*06:09-DPB1*04:01  Tanzania Maasai 0.6390336
 62  A*23:01-B*53:01-DRB1*13:01-DQB1*06:09  Mexico Veracruz Xalapa 0.595284
 63  DQA1*01:02-DQB1*06:09-DPA1*02:01-DPB1*09:01  Hong Kong Chinese HKBMDR. DQ and DP 0.59001,064
 64  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 65  A*24:02:01-B*15:03:01-C*02:10:01-DRB1*11:01:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 66  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 0.5882170
 67  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
 68  A*68:01:02-B*51:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 69  A*74:01:01-B*15:03:01-C*03:04:02-DRB1*03:01:01-DQB1*06:09:01-DPA1*02:01:08-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 70  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.5620356
 71  A*30:02:01-B*53:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.547128,927
 72  A*03:01-B*14:02-C*08:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*05:01  USA San Diego 0.5210496
 73  DRB1*13:02-DQB1*06:09-DPB1*03:01  Gambia pop 3 0.5210939
 74  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Chinese 0.5155194
 75  A*01:01-B*45:01-C*06:02-DRB1*07:01-DQA1*01:02-DQB1*06:09-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 76  A*01:01-B*81:01-C*18:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 77  A*02:01-B*07:05-C*15:05-DRB1*03:01-DQA1*01:02-DQB1*06:09-DPB1*17:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 78  A*23:01-B*57:02-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*34:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 79  A*29:02-B*15:03-C*02:10-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 80  A*30:02-B*53:01-C*04:01-DRB1*13:03-DQA1*02:01-DQB1*06:09-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 81  A*32:01-B*07:02-C*07:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 82  A*32:01-B*15:31-C*04:07-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*39:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 83  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
 84  A*68:02-B*15:31-C*04:07-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*39:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 85  A*74:01-B*15:03-C*02:10-DRB1*07:01-DQA1*02:01-DQB1*06:09-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 86  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Vietnam Kinh 0.4950101
 87  A*26:01:01-B*38:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  Vietnam Kinh 0.4950101
 88  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Sri Lanka Colombo 0.4902714
 89  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Filipino 0.486850,614
 90  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.4792336
 91  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.4792336
 92  A*30:01:01-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 93  A*02:01-B*15:03-C*02:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:02:01-DQA1*01:02-DQB1*06:09  Portugal Azores Terceira Island 0.4386130
 94  A*02:01-B*58:01-C*03:04-E*01:03:02-F*01:03:01-G*01:01-DRB1*13:02-DQA1*01:02-DQB1*06:09  Portugal Azores Terceira Island 0.4386130
 95  A*24:02-B*15:01-C*03:03-E*01:01:01-F*01:01:01-G*01:04-DRB1*13:02:01-DQA1*01:02-DQB1*06:09  Portugal Azores Terceira Island 0.4386130
 96  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.4210356
 97  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*02:02:02-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 98  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 99  A*68:01:02-B*18:01:01-C*07:04:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*02:02:02-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 100  DRB1*13:34-DQB1*06:09  Georgia Caucasus Tbilisi 0.4202119

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 691) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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