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 59 (from 59) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*13:02-DQB1*05:01-DPB1*01:01  Gambia pop 3 3.0437939
 2  A*02:01:01-B*81:01:01-C*08:04:01-DRB1*11:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  DRB1*10:01-DQB1*05:01-DPB1*01:01  Gambia pop 3 1.4245939
 4  A*74:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 5  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
 6  DRB1*11:01-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.8043939
 7  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*11:01:02-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.7040142
 8  DRB1*01:02-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.6497939
 9  A*68:02-B*15:10-C*03:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  South Africa Worcester 0.6000159
 10  A*33:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 11  A*68:02:01-B*53:01:01-C*02:02:02-DRB1*03:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 12  A*02:05-B*53:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 13  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
 14  A*68:02-B*58:02-C*03:04-DRB1*01:02-DQA1*03:01-DQB1*05:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 15  A*74:03-B*07:02-C*07:27-DRB1*11:01-DQA1*03:01-DQB1*05:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 16  DRB1*01:01-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.4354939
 17  DRB1*13:03-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.4144939
 18  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 19  A*02:01:01-B*08:01:01-C*07:18-DRB1*10:01:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 20  A*03:01:01-B*49:01:01-C*07:01:02-DRB1*01:02:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 21  A*29:11-B*13:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 22  A*30:01:01-B*45:01:01-C*16:01:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 23  A*74:01:01-B*53:01:01-C*17:01:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.3520142
 24  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*05:01-DPA1*02:01:02-DPB1*01:01:01  Russia Belgorod region 0.3268153
 25  A*02:02-B*15:03-C*02:10-DRB1*10:01-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.3195336
 26  A*30:01-B*42:01-C*17:01-DRB1*13:01-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.3195336
 27  A*25:01:01-B*15:01:01-C*03:03:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 28  A*68:01:01-B*27:05:02-C*02:02:02-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 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*02:01-B*08:01-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  USA San Diego 0.2600496
 31  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
 32  A*29:02-B*35:01-C*16:01-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  USA San Diego 0.2600496
 33  A*30:01-B*53:01-C*04:01-DRB1*01:02-DQA1*04:01-DQB1*05:01-DPB1*01:01  USA San Diego 0.2600496
 34  A*03:01-B*15:10-C*03:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  Nicaragua Managua 0.2165339
 35  A*26:01-B*56:01-C*07:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*01:01  Nicaragua Managua 0.2165339
 36  A*34:02-B*44:03-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  Nicaragua Managua 0.2165339
 37  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 38  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 39  A*68:01:02-B*40:04:01-C*03:04:01-DRB1*09:01:02-DQB1*05:01:01-DPA1*01:03:01-DPB1*01:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 40  A*02:05-B*58:01-C*07:01-DRB1*10:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 41  A*11:01-B*27:03-C*08:02-DRB1*01:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 42  A*23:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 43  A*23:01-B*51:07-C*14:02-DRB1*09:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 44  A*24:02-B*40:02-C*03:05-DRB1*13:02-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 45  A*33:01-B*53:01-C*04:01-DRB1*13:01-DQB1*05:01-DPB1*01:01  Panama 0.1900462
 46  DRB1*13:04-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.1668939
 47  A*33:01-B*15:10-C*03:04-DRB1*01:02-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.1597336
 48  A*68:02-B*13:02-C*16:01-DRB1*01:02-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.1597336
 49  A*74:01-B*35:01-C*04:01-DRB1*03:02-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.1597336
 50  A*74:01-B*35:01-C*07:95-DRB1*01:02-DQB1*05:01-DPB1*01:01  Tanzania Maasai 0.1597336
 51  DRB1*13:01-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.1477939
 52  DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*01:01  Hong Kong Chinese HKBMDR. DQ and DP 0.09261,064
 53  DRB1*04:05-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.0726939
 54  DRB1*14:54-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.0726939
 55  DRB1*16:02-DQB1*05:01-DPB1*01:01  Gambia pop 3 0.0726939
 56  A*68:01-B*51:01-C*07:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  Sri Lanka Colombo 0.0700714
 57  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*01:01  Germany DKMS - German donors 0.03183,456,066
 58  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*01:01  Germany DKMS - German donors 0.01163,456,066
 59  A*01:01-B*08:01-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*01:01  Germany DKMS - German donors 0.01143,456,066

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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