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 63 (from 63) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 4.5000100
 2  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 2.4650142
 3  DRB1*03:02-DQB1*04:02-DPB1*01:01  Gambia pop 3 1.8628939
 4  A*02:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.5000100
 5  A*29:02-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.5000100
 6  A*34:02:01-B*08:01:01-C*07:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 1.0560142
 7  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.7987336
 8  A*02:05-B*27:03-C*02:02-DRB1*08:04-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.6390336
 9  A*34:02-B*08:01-C*07:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.6000159
 10  A*02:01:01-B*42:01:01-C*16:01:01-DRB1*07:01:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 11  A*23:01:01-B*14:02:01-C*08:02:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 12  A*33:01:01-B*15:03:01-C*03:03:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 13  A*23:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 14  A*30:01-B*58:02-C*06:02-DRB1*07:01-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 15  A*30:02-B*42:01-C*17:01-DRB1*03:02-DQA1*01:02-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 16  A*32:01-B*58:01-C*04:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 17  A*68:01-B*42:01-C*16:01-DRB1*03:02-DQA1*02:01-DQB1*04:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 18  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.4329339
 19  A*02:01:01-B*15:03:01-C*04:01:01-DRB1*08:04:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 20  A*03:01:01-B*39:10:01-C*12:03:01-DRB1*15:03:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 21  A*03:01:01-B*81:01-C*04:01:01-DRB1*08:04:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 22  A*23:01:01-B*15:03:01-C*07:01:01-DRB1*10:01:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 23  A*29:02:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 24  A*68:02:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 25  A*03:01:14-B*39:01:01-C*07:02:01-DRB1*08:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*02:01:02-DPB1*01:01:01  Russia Belgorod region 0.3268153
 26  A*11:01:01-B*27:02:01-C*02:02:02-DRB1*08:01-DQA1*04:01:01-DQB1*04:02-DPA1*02:01:02-DPB1*01:01:01  Russia Belgorod region 0.3268153
 27  A*02:05-B*49:01-C*07:01-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.3195336
 28  A*30:01:01-B*42:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 29  A*23:01-B*58:01-C*03:02-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.3000159
 30  A*30:01-B*42:02-C*17:01-DRB1*07:01-DQA1*02:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.3000159
 31  A*43:01-B*58:02-C*04:01-DRB1*04:01-DQA1*03:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.3000159
 32  A*66:01-B*58:02-C*06:02-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.3000159
 33  A*02:01-B*35:01-C*04:01-DRB1*03:01-DQA1*04:01-DQB1*04:02-DPB1*01:01  USA San Diego 0.2600496
 34  A*02:01-B*35:01-C*04:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  USA San Diego 0.2600496
 35  A*30:02-B*51:01-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  USA San Diego 0.2600496
 36  A*34:01-B*15:35-C*07:02-DRB1*15:02-DQA1*03:01-DQB1*04:02-DPB1*01:01  USA San Diego 0.2600496
 37  A*36:03-B*42:01-C*17:01-DRB1*03:02-DQA1*01:01-DQB1*04:02-DPB1*01:01  USA San Diego 0.2600496
 38  A*02:01-B*35:01-C*07:05-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.2165339
 39  A*02:05-B*41:01-C*07:01-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.2165339
 40  A*29:02-B*81:01-C*18:01-DRB1*08:04-DQA1*04:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.2165339
 41  A*33:01-B*42:01-C*17:01-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  Nicaragua Managua 0.2165339
 42  A*30:01:01-B*42:01-C*17:01:01-DRB1*03:02-DQB1*04:02:01-DPB1*01:01:01  Saudi Arabia pop 6 (G) 0.203528,927
 43  A*02:01:01-B*42:01:01-C*03:03:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 44  A*02:02:01-B*51:01:01-C*02:02:02-DRB1*07:01:01-DQB1*04:02:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 45  A*30:02:01-B*58:01:01-C*14:02:01-DRB1*07:01:01-DQB1*04:02:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 46  A*23:01-B*53:01-C*08:02-DRB1*07:11-DQB1*04:02-DPB1*01:01  Panama 0.1900462
 47  A*32:01-B*27:08-C*06:02-DRB1*07:11-DQB1*04:02-DPB1*01:01  Panama 0.1900462
 48  A*02:01-B*15:03-C*17:01-DRB1*11:01-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 49  A*02:01-B*47:03-C*07:01-DRB1*15:03-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 50  A*29:01-B*47:02-C*07:04-DRB1*07:01-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 51  A*29:02-B*18:01-C*17:01-DRB1*04:10-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 52  A*30:02-B*45:01-C*16:24-DRB1*01:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 53  A*30:09-B*58:02-C*06:02-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 54  A*31:06-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 55  A*36:01-B*53:01-C*04:04-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 56  A*36:01-B*53:01-C*08:04-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 57  A*74:01-B*07:04-C*07:14-DRB1*15:03-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.1597336
 58  A*29:02:01-B*42:01-C*17:01:01-DRB1*03:02-DQB1*04:02:01-DPB1*01:01:01  Saudi Arabia pop 6 (G) 0.104728,927
 59  DRB1*13:02-DQB1*04:02-DPB1*01:01  Gambia pop 3 0.0727939
 60  DRB1*03:102-DQB1*04:02-DPB1*01:01  Gambia pop 3 0.0726939
 61  A*11:01-B*40:06-C*15:02-DRB1*04:05-DQA1*03:01-DQB1*04:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 62  A*11:01-B*15:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*01:01  Russia Karelia 0.05651,075
 63  A*32:01-B*15:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*01:01  Russia Karelia 0.05641,075

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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