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 156) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*03:01  China Canton Han 1.7000264
 2  A*02:01:01-B*15:18:01-C*12:03:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 3  A*11:01:01-B*58:01:01-C*01:02:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 4  DRB1*04:07-DQB1*03:01-DPB1*03:01  Ireland South 1.2000250
 5  DRB1*11:01-DQB1*03:01-DPB1*03:01  Greece pop3 1.0000246
 6  DQB1*03:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.9900496
 7  A*02:01-B*41:01-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.9585336
 8  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.76041,075
 9  A*02:01:01-B*35:02:01-C*06:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.6536153
 10  DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.65021,064
 11  A*24:02:01-B*07:02:01-C*02:02:02-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 12  A*33:01:01-B*57:01:01-C*08:02:01-DRB1*07:01:01-DQB1*03:01:04-DPA1*02:01:08-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 13  DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.55191,064
 14  A*11:01-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.5210496
 15  A*66:02-B*58:02-C*18:01-DRB1*13:01-DQA1*01:02-DQB1*03:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 16  A*68:02-B*18:01-C*03:04-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 17  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 18  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 19  A*02:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 20  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*13:01:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 21  A*03:01:01-B*51:01:01-C*07:02:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 22  A*03:01-B*51:01:01-C*04:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 23  A*24:02:01-B*40:02:01-C*07:02:01-DRB1*04:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 24  DRB1*12:01:01-DQB1*03:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.4170496
 25  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.3998833
 26  A*24:02-B*51:01-C*04:01-DRB1*16:02-DQB1*03:01-DPB1*03:01  Panama 0.3800462
 27  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*13:02:01-DQB1*03:01:01-DPB1*03:01:01  South African Black 0.3520142
 28  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.3294833
 29  A*03:01:01-B*08:01:01-C*07:02:01-DRB1*11:01:01-DQA1*02:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 30  A*32:01:01-B*51:01:01-C*14:02:01-DRB1*12:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 31  A*30:04-B*47:01-C*06:02-DRB1*08:04-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.3195336
 32  A*68:02-B*13:02-C*06:02-DRB1*13:03-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.3195336
 33  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 34  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 35  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 36  A*24:02:01-B*52:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 37  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*15:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 38  A*02:01-B*15:13-C*08:01-DRB1*13:01-DQA1*01:03-DQB1*03:01-DPB1*03:01  South Africa Worcester 0.3000159
 39  A*02:01-B*51:01-C*14:02-DRB1*08:03-DQA1*06:01-DQB1*03:01-DPB1*03:01  South Africa Worcester 0.3000159
 40  A*02:06-B*27:05-C*03:03-DRB1*13:02-DQA1*05:02-DQB1*03:01-DPB1*03:01  South Africa Worcester 0.3000159
 41  A*02:01-B*18:01-C*07:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 42  A*02:06-B*40:06-C*03:04-DRB1*09:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 43  A*03:01-B*15:13-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 44  A*23:01-B*40:01-C*03:04-DRB1*08:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 45  A*24:02-B*18:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 46  A*24:02-B*40:02-C*02:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 47  A*32:01-B*44:02-C*05:01-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 48  A*68:01-B*40:01-C*03:04-DRB1*04:01-DQA1*01:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.2600496
 49  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*03:01  Mexico Chiapas Lacandon Mayans 0.2294218
 50  A*01:01-B*35:02-C*06:02-DRB1*11:04-DQB1*03:01-DPB1*03:01  Russia Karelia 0.22521,075
 51  A*30:01-B*53:01-C*04:01-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPB1*03:01  Nicaragua Managua 0.2165339
 52  A*68:01-B*51:01-C*18:01-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*03:01  Nicaragua Managua 0.2165339
 53  A*68:03-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:01-DPB1*03:01  Nicaragua Managua 0.2165339
 54  DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.21491,064
 55  DRB1*14:03:01-DQB1*03:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 56  A*24:02:01-B*35:02:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 57  A*26:01:01-B*58:01:01-C*12:03:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 58  A*32:01:01-B*27:03-C*02:02:02-DRB1*10:01:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 59  A*02:01-B*35:04-C*12:03-DRB1*14:02-DQB1*03:01-DPB1*03:01  Panama 0.1900462
 60  A*02:01-B*39:06-C*07:02-DRB1*07:01-DQB1*03:01-DPB1*03:01  Panama 0.1900462
 61  A*24:02-B*15:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*03:01  Panama 0.1900462
 62  A*24:02-B*35:12-C*04:01-DRB1*14:02-DQB1*03:01-DPB1*03:01  Panama 0.1900462
 63  A*24:02-B*40:02-C*03:04-DRB1*14:02-DQB1*03:01-DPB1*03:01  Panama 0.1900462
 64  A*26:01-B*35:04-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*03:01  Panama 0.1900462
 65  A*31:01-B*35:43-C*07:02-DRB1*14:02-DQB1*03:01-DPB1*03:01  Panama 0.1900462
 66  A*68:01-B*40:02-C*03:05-DRB1*16:02-DQB1*03:01-DPB1*03:01  Panama 0.1900462
 67  DRB1*11:04:01-DQB1*03:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.1720496
 68  A*01:01-B*40:12-C*07:01-DRB1*08:04-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.1597336
 69  A*01:01-B*45:01-C*06:02-DRB1*08:04-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.1597336
 70  A*02:01-B*48:15-C*17:02-DRB1*13:03-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.1597336
 71  A*02:01-B*51:01-C*16:08-DRB1*13:03-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.1597336
 72  A*29:01-B*14:02-C*04:01-DRB1*08:04-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.1597336
 73  A*30:04-B*44:03-C*04:143-DRB1*07:01-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.1597336
 74  A*68:02-B*81:01-C*06:02-DRB1*08:04-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.1597336
 75  DRB1*11:02-DQB1*03:01-DPB1*03:01  Gambia pop 3 0.1451939
 76  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.1200833
 77  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*03:01  Russia Karelia 0.11781,075
 78  A*23:01-B*44:03-C*04:01-DRB1*11:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.11291,075
 79  A*24:02-B*39:01-C*12:03-DRB1*11:04-DQB1*03:01-DPB1*03:01  Russia Karelia 0.11291,075
 80  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*03:01  Russia Karelia 0.11291,075
 81  A*26:01-B*35:02-C*06:02-DRB1*11:04-DQB1*03:01-DPB1*03:01  Russia Karelia 0.11281,075
 82  DRB1*08:03:02-DQB1*03:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 83  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.09761,075
 84  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*03:01  China Zhejiang Han pop 2 0.0961833
 85  A*03:01-B*07:02-C*07:02-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.09481,075
 86  A*01:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.08573,456,066
 87  A*11:01-B*35:01-C*04:01-DRB1*04:07-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.07263,456,066
 88  DRB1*04:01-DQB1*03:01-DPB1*03:01  Gambia pop 3 0.0726939
 89  DRB1*11:01-DQB1*03:01-DPB1*03:01  Gambia pop 3 0.0726939
 90  A*02:01-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 91  A*02:06-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 92  A*03:01-B*35:03-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 93  A*03:01-B*55:01-C*03:04-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 94  A*24:02-B*40:06-C*15:02-DRB1*08:03-DQA1*06:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 95  A*24:02-B*51:02-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 96  A*24:02-B*51:06-C*15:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 97  A*68:01-B*55:01-C*01:02-DRB1*11:11-DQA1*05:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 98  A*68:01-B*56:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 99  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.06293,456,066
 100  DRB1*11:03-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*03:01  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).


Displaying 1 to 100 (from 156) 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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