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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 52 (from 52) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DQA1*01:02-DQB1*05:01  Gambia 9.9000146
 2  DRB1*01:02-DQA1*01:02-DQB1*05:01  Tunisia 8.5000100
 3  DQA1*01:02-DQB1*05:01  Uganda Baganda 7.900047
 4  DRB1*13:01-DQA1*01:02-DQB1*05:01  Equatorial Guinea Bioko Island Bubi 6.3000100
 5  DRB1*13:02-DQA1*01:02-DQB1*05:01  Congo Kinshasa Bantu 5.100090
 6  DQA1*01:02-DQB1*05:01  China, Xinjiang Uyghur Autonomous Region Kazakh 3.850052
 7  DQA1*01:02-DQB1*05:01  China, Xinjiang Uyghur Autonomous Region Hui 2.500040
 8  DRB1*13:02-DQA1*01:02-DQB1*05:01  Equatorial Guinea Bioko Island Bubi 2.5000100
 9  DQA1*01:02-DQB1*05:01  Cameroon Saa 1.8000172
 10  DRB1*11:01-DQA1*01:02-DQB1*05:01  Equatorial Guinea Bioko Island Bubi 1.3000100
 11  DRB1*15:01-DQA1*01:02-DQB1*05:01  Italy Sardinia Carbonia 1.100091
 12  A*02:02-B*58:02-C*06:02-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 1.0000100
 13  A*74:03-B*53:01-C*04:01-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 14  A*68:03-B*35:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 15  DQA1*01:02-DQB1*05:01  China, Xinjiang Uyghur Autonomous Region Han 0.710070
 16  A*02:01-B*57:03-C*08:02-DRB1*13:02-DQA1*01:02-DQB1*05:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 17  A*29:02-B*45:01-C*06:02-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 18  A*30:01-B*42:02-C*17:01-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*04:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 19  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
 20  A*02:02-B*49:01-C*07:01-E*01:03:01-F*01:01:02-G*01:03-DRB1*13:02:01-DQA1*01:02-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 21  A*03:01-B*35:27-C*12:02-E*01:01:01-F*01:01:01-G*01:06-DRB1*01:01-DQA1*01:02-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 22  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 23  A*30:04:01-B*49:01:01-C*04:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 24  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:02:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 25  A*03:01:01-B*37:01:01-C*04:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*05:01-DPA1*01:03:01-DPB1*20:01:01  Russia Belgorod region 0.3268153
 26  A*11:01-B*35:01:01-C*07:02:01-DRB1*01:01:01-DQA1*01:02:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 27  A*33:03:01-B*35:03:01-C*03:02:02-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 28  A*02:01-B*58:02-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPB1*105:01  South Africa Worcester 0.3000159
 29  A*03:01-B*51:01-C*07:01-DRB1*11:01-DQA1*01:02-DQB1*05:01-DPB1*01:01  South Africa Worcester 0.3000159
 30  A*23:01-B*07:02-C*07:02-DRB1*15:03-DQA1*01:02-DQB1*05:01-DPB1*13:01  South Africa Worcester 0.3000159
 31  A*43:01-B*15:03-C*04:01-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPB1*04:02  South Africa Worcester 0.3000159
 32  A*74:01-B*45:01-C*16:01-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPB1*18:01  South Africa Worcester 0.3000159
 33  A*02:01-B*49:01-C*04:01-DRB1*11:02-DQA1*01:02-DQB1*05:01-DPB1*01:01  USA San Diego 0.2600496
 34  A*11:01-B*44:02-C*06:02-DRB1*01:01-DQA1*01:02-DQB1*05:01-DPB1*06:01  USA San Diego 0.2600496
 35  A*11:01-B*51:01-C*15:02-DRB1*01:01-DQA1*01:02-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 36  A*24-B*15-DRB1*13:02-DQA1*01:02-DQB1*05:01  Brazil Paraná Caucasian 0.2340641
 37  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:02-DQB1*05:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 38  A*01:01-B*44:03-C*12:03-DRB1*15:01-DQA1*01:02-DQB1*05:01-DPB1*02:01  Nicaragua Managua 0.2165339
 39  A*02:01-B*15:03-C*02:10-DRB1*11:04-DQA1*01:02-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.2165339
 40  A*02:01-B*27:05-C*07:02-DRB1*16:01-DQA1*01:02-DQB1*05:01-DPB1*11:01  Nicaragua Managua 0.2165339
 41  A*02:05-B*51:01-C*16:01-DRB1*13:02-DQA1*01:02-DQB1*05:01-DPB1*13:01  Nicaragua Managua 0.2165339
 42  A*30:02-B*57:03-C*02:02-DRB1*13:01-DQA1*01:02-DQB1*05:01-DPB1*17:01  Nicaragua Managua 0.2165339
 43  A*74-B*15-DRB1*13:02-DQA1*01:02-DQB1*05:01  Brazil Paraná Caucasian 0.1560641
 44  A*01-B*14-DRB1*01:02-DQA1*01:02-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 45  A*01-B*44-DRB1*07:01-DQA1*01:02-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 46  A*02-B*37-DRB1*15:01-DQA1*01:02-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 47  A*03-B*35-DRB1*01:01-DQA1*01:02-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 48  A*03-B*42-DRB1*01:03-DQA1*01:02-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 49  A*33-B*14-DRB1*01:02-DQA1*01:02-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 50  A*36-B*35-DRB1*01:01-DQA1*01:02-DQB1*05:01  Brazil Paraná Caucasian 0.0780641
 51  A*11:01-B*15:05-C*03:03-DRB1*16:09-DQA1*01:02-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 52  A*11:01-B*40:06-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714

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).




   

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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