Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 71 (from 71) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 4.761973
 2  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 2.941268
 3  A*01:01:01-B*44:03:02-C*07:01:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 4  A*03:01:01-B*51:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 5  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.3072153
 6  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQA1*01:01:02-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.9804153
 7  DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.69111,064
 8  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 9  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.6536153
 10  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 11  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 12  A*02:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 13  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 14  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 15  A*03:01:01-B*14:03-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 16  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*04:05:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 17  A*29:02:01-B*53:01:01-C*04:01:01-DRB1*04:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 18  A*31:01:02-B*58:02:01-C*06:02:01-DRB1*11:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 19  A*24:02:01-B*14:02:01-C*02:02:02-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 20  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 21  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.5157833
 22  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.4234833
 23  A*01:01:01-B*57:01:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 24  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQA1*01:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 25  A*02:01:01-B*15:01:01-C*06:02:01-DRB1*10:01:01-DQA1*01:05:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 26  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 27  A*24:02:01-B*27:05:02-C*03:04:01-DRB1*15:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 28  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 29  A*25:01:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 30  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQA1*01:05:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 31  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQA1*01:03:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 32  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 33  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 34  DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Hong Kong Chinese HKBMDR. DQ and DP 0.37911,064
 35  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 36  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 37  A*02:01:01-B*44:02:01-C*15:02:01-DRB1*04:04:01-DQA1*03:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 38  A*03:01:01-B*27:05:02-C*04:01:01-DRB1*01:01:01-DQA1*04:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 39  A*11:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 40  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
 41  A*29:01:01-B*14:02:01-C*15:05:02-DRB1*01:02:01-DQA1*01:01:02-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 42  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
 43  A*01:01:01-B*15:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 44  A*01:01:01-B*35:01:01-C*17:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 45  A*01:01:01-B*35:03:01-C*16:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 46  A*02:01:01-B*35:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 47  A*03:01:01-B*53:01:01-C*03:03:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 48  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 49  A*68:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 50  A*01:01-B*14:02-C*08:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 51  A*30:02-B*14:02-C*08:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Mexico Chiapas Lacandon Mayans 0.2294218
 52  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
 53  A*01:01:01-B*15:16:01-C*04:01:01-DRB1*14:54:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 54  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 55  A*02:01:01-B*35:01:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 56  A*02:01:01-B*41:02:01-C*03:03:01-DRB1*04:04:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 57  A*02:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 58  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 59  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*01:77-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 60  A*23:01:01-B*58:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 61  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 62  A*26:01:01-B*27:05:02-C*01:22-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 63  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 64  A*68:01:01-B*15:18:01-C*07:04:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 65  DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 66  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 67  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 68  A*02:01-B*37:01-C*06:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 69  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 70  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 71  A*24:02-B*52:01-C*12:02-DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078

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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