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 100 (from 181) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*15-DQB1*06:02-DPB1*02:01  Congo Kinshasa Bantu 10.000090
 2  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Korea pop 2 2.7000207
 3  DRB1*15:01-DQB1*06:02-DPB1*02:01  South Korea pop 1 2.6000324
 4  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Korea pop 1 2.4000324
 5  A*23:01:01-B*41:01:01-C*06:02:01-DRB1*12:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Black 2.381073
 6  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  USA San Francisco Caucasian 2.1000220
 7  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  USA San Francisco Caucasian 2.1000220
 8  DQB1*06:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.9260496
 9  DRB1*15:01:01:01-DQB1*06:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.6880496
 10  DRB1*15:01-DQB1*06:02-DPB1*02:01  Ireland South 1.6000250
 11  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  China Canton Han 1.5000264
 12  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 1.2582833
 13  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.1765170
 14  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Korea pop 11 1.1000149
 15  A*30:02:01-B*07:02:01-C*07:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 1.0560142
 16  A*36:01-B*53:01-C*04:01-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 17  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.8403119
 18  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.8381833
 19  A*30:01:02-B*81:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.7040142
 20  A*74:01:01-B*35:01:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.7040142
 21  A*02:05-B*57:03-C*07:01-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.6390336
 22  A*03:01-B*35:01-C*04:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.6000159
 23  A*24:02-B*44:03-C*07:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.6000159
 24  A*24:02:01-B*07:02:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 25  A*01:01-B*58:01-C*03:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 26  A*02:01-B*15:10-C*03:04-DRB1*12:01-DQA1*01:01-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 27  A*02:01-B*18:01-C*07:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 28  A*02:05-B*58:01-C*07:249-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 29  A*03:01-B*53:01-C*07:01-DRB1*11:02-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 30  A*30:02-B*49:01-C*07:04-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 31  A*30:02-B*50:01-C*06:02-DRB1*15:03-DQA1*04:01-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 32  A*68:02-B*14:02-C*08:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 33  A*68:02-B*47:03-C*06:02-DRB1*11:02-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 34  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Russia Karelia 0.49201,075
 35  A*30:01-B*07:02-C*07:02-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.4792336
 36  DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.43981,064
 37  A*30:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  Nicaragua Managua 0.4329339
 38  A*02:01:01-B*27:02:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 39  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 40  DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.41321,064
 41  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 42  A*02:02:01-B*58:02:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 43  A*03:01:01-B*15:03:01-C*02:10:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 44  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*04:04:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 45  A*23:17-B*58:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 46  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 47  A*30:01:01-B*45:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 48  A*43:01-B*42:01:01-C*06:02:01-DRB1*14:54:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 49  A*43:01-B*51:01:01-C*16:01:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 50  A*68:02:01-B*15:10:01-C*03:04:02-DRB1*15:03:01-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 51  A*80:01:01-B*15:03:01-C*08:02:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*02:01:02  South African Black 0.3520142
 52  A*02:01:01-B*07:02:01-C*02:02:02-DRB1*16:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 53  A*11:01:01-B*27:02:01-C*02:02:02-DRB1*07:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 54  A*23:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 55  A*24:02:01-B*38:01:01-C*07:02:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:02-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 56  A*68:01:01-B*07:02:01-C*04:01:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 57  A*01:01-B*07:02-C*07:04-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.3195336
 58  A*01:01-B*57:03-C*16:01-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.3195336
 59  A*68:02-B*15:10-C*03:04-DRB1*11:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.3195336
 60  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 61  A*11:01:01-B*18:01:01-C*07:01:01-DRB1*04:04:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 62  A*23:01:01-B*45:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 63  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 64  A*01:01-B*55:01-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.3000159
 65  A*24:02-B*18:01-C*07:02-DRB1*03:01-DQA1*05:05-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.3000159
 66  A*30:01-B*15:03-C*02:10-DRB1*03:17-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.3000159
 67  A*30:02-B*53:01-C*12:03-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.3000159
 68  A*74:01-B*58:02-C*07:01-DRB1*13:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Africa Worcester 0.3000159
 69  A*03:01-B*15:16-C*04:01-DRB1*15:03-DQA1*05:01-DQB1*06:02-DPB1*02:01  USA San Diego 0.2600496
 70  A*29:02-B*55:01-C*07:01-DRB1*04:07-DQA1*03:01-DQB1*06:02-DPB1*02:01  USA San Diego 0.2600496
 71  A*30:01-B*58:01-C*15:05-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  USA San Diego 0.2600496
 72  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.2414521
 73  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.22593,456,066
 74  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQA1*01:01-DQB1*06:02-DPB1*02:01  Nicaragua Managua 0.2165339
 75  A*31:01-B*44:10-C*04:01-DRB1*11:01-DQA1*03:01-DQB1*06:02-DPB1*02:01  Nicaragua Managua 0.2165339
 76  A*02:06-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 77  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 78  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 79  A*23:01:01-B*44:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 80  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 81  A*24:02:01-B*15:17:01-C*12:03:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*02:02:02-DPB1*02:01:19  Brazil Rio de Janeiro Caucasian 0.1946521
 82  A*31:01:02-B*15:03:01-C*12:02:02-DRB1*15:02:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 83  A*02:01-B*35:02-C*04:01-DRB1*10:01-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 84  A*02:01-B*46:01-C*01:02-DRB1*15:03-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 85  A*11:01-B*35:01-C*06:02-DRB1*04:01-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 86  A*30:01-B*44:03-C*01:02-DRB1*15:03-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 87  A*68:02-B*15:10-C*03:04-DRB1*11:01-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 88  A*68:06-B*38:01-C*02:02-DRB1*01:02-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 89  A*31:01:02-B*35:08-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.180228,927
 90  DRB1*13:04-DQB1*06:02-DPB1*02:01  Gambia pop 3 0.1781939
 91  A*24:02-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.16003,078
 92  A*01:01-B*41:01-C*07:01-DRB1*01:02-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 93  A*01:01-B*58:01-C*03:33-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 94  A*02:01-B*51:01-C*16:01-DRB1*13:02-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 95  A*03:01-B*35:01-C*06:02-DRB1*14:04-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 96  A*03:01-B*45:07-C*16:07-DRB1*01:02-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 97  A*03:01-B*47:03-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 98  A*26:01-B*15:03-C*04:01-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 99  A*30:01-B*14:14-C*07:05-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 100  A*30:01-B*35:01-C*07:14-DRB1*03:02-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336

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).


Displaying 1 to 100 (from 181) records   Pages: 1 2 of 2  


   

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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