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 80 (from 80) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  South Korea pop 11 4.0000149
 2  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.7647170
 3  DRB1*09:01-DQB1*02:02-DPB1*02:01  Gambia pop 3 1.4737939
 4  A*02:01:01-B*44:03:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 5  A*30:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 6  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 1.4006714
 7  DRB1*07:01-DQB1*02:02-DPB1*02:01  Ireland South 1.3000250
 8  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  South Korea pop 2 1.2000207
 9  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  South Korea pop 1 1.1000324
 10  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.9500462
 11  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.7810496
 12  DQA1*02:01-DQB1*02:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.76751,064
 13  A*30:10-B*13:02-C*06:02-DRB1*07:01-DQB1*02:02-DPB1*02:01  Tanzania Maasai 0.6390336
 14  A*24:02:01-B*58:01:01-C*07:18:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5883170
 15  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*16:02:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 16  A*02:01:01-B*51:01:01-C*02:02:02-DRB1*03:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Rio de Janeiro Parda 0.5882170
 17  A*23:17:01-B*14:02:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 18  A*30:02:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 19  A*30:02-B*53:01-C*08:02-DRB1*13:03-DQA1*01:02-DQB1*02:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 20  A*68:02-B*15:10-C*02:02-DRB1*11:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 21  DQB1*02:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.4350496
 22  A*01:01:01-B*08:01:01-C*06:02:01-DRB1*07:01:01-DQA1*05:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 23  A*02:01:01-B*44:03:01-C*05:01:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 24  DRB1*07:01-DQB1*02:02-DPB1*02:01  Gambia pop 3 0.3965939
 25  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 26  A*02:02:01-B*57:03:01-C*06:02:01-DRB1*13:03:01-DQB1*02:02:01-DPB1*02:01:02  South African Black 0.3520142
 27  A*23:17-B*07:06:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*02:01:02  South African Black 0.3520142
 28  A*24:02:01-B*44:05:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*02:01:02  South African Black 0.3520142
 29  A*68:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*02:02:01-DPB1*02:01:02  South African Black 0.3520142
 30  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3423521
 31  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 32  A*23:01:01-B*49:01:01-C*16:01:01-DRB1*11:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*02:02:02-DPB1*02:01:02  Russia Belgorod region 0.3268153
 33  A*24:02:01-B*50:01:01-C*03:04:01-DRB1*14:54:01-DQA1*01:04:01-DQB1*02:02-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 34  A*25:01:01-B*44:02:01-C*12:03:01-DRB1*04:01:01-DQA1*03:03:01-DQB1*02:02-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 35  DRB1*07:01:01:01-DQB1*02:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.3150496
 36  A*02:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 37  A*02:01:01-B*15:03:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 38  A*30:02:01-B*14:02:01-C*08:02:01-DRB1*11:02:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 39  A*30:02:01-B*18:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 40  A*68:02:01-B*38:01:01-C*12:03:01-DRB1*11:01:02-DQB1*02:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 41  A*23:01-B*08:01-C*02:10-DRB1*07:01-DQA1*03:03-DQB1*02:02-DPB1*02:01  South Africa Worcester 0.3000159
 42  A*29:01-B*44:03-C*07:01-DRB1*07:01-DQA1*03:03-DQB1*02:02-DPB1*02:01  South Africa Worcester 0.3000159
 43  A*02:01-B*35:01-C*04:01-DRB1*13:03-DQA1*01:02-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 44  A*02:01-B*40:01-C*03:04-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 45  A*03:01-B*47:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 46  A*11:01-B*14:01-C*08:02-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 47  A*11:01-B*35:01-C*04:01-DRB1*15:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 48  A*26:01-B*51:01-C*04:01-DRB1*14:03-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 49  A*29:02-B*45:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.2600496
 50  DRB1*04:05-DQB1*02:02-DPB1*02:01  Gambia pop 3 0.2177939
 51  A*26:01-B*81:01-C*18:01-DRB1*09:01-DQA1*01:01-DQB1*02:02-DPB1*02:01  Nicaragua Managua 0.2165339
 52  A*68:03-B*35:43-C*05:01-DRB1*14:02-DQA1*05:01-DQB1*02:02-DPB1*02:01  Nicaragua Managua 0.2165339
 53  A*24:02-B*35:01-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.2101714
 54  A*01:01:01-B*14:01:01-C*04:01:01-DRB1*11:04:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 55  A*26:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 56  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 57  A*02:01-B*45:01-C*16:01-DRB1*13:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 58  A*03:01-B*44:02-C*12:03-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 59  A*23:01-B*44:03-C*02:02-DRB1*11:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 60  A*31:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 61  A*31:01-B*51:01-C*04:01-DRB1*13:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 62  A*74:01-B*42:01-C*17:01-DRB1*03:02-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 63  A*80:01-B*07:05-C*02:02-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 64  A*02:01-B*81:01-C*06:02-DRB1*09:01-DQB1*02:02-DPB1*02:01  Tanzania Maasai 0.1597336
 65  A*26:12-B*35:02-C*04:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Tanzania Maasai 0.1597336
 66  DRB1*13:01-DQB1*02:02-DPB1*02:01  Gambia pop 3 0.1451939
 67  A*02:11-B*40:06-C*15:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 68  A*33:03-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 69  DRB1*13:04-DQB1*02:02-DPB1*02:01  Gambia pop 3 0.0804939
 70  A*02:11-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 71  A*02:11-B*51:06-C*14:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 72  A*02:11-B*55:01-C*01:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 73  A*03:01-B*52:01-C*12:145-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 74  A*11:01-B*35:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 75  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 76  A*11:01-B*57:01-C*06:02-DRB1*14:04-DQA1*01:02-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 77  A*24:02-B*13:01-C*04:03-DRB1*04:03-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 78  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQA1*01:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 79  A*31:01-B*35:03-C*01:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 80  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.0600833

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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