Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 307) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*12:02:01-DQB1*03:01:01/03:09-DPB1*02:01:02  China Yunnan Province Bai 8.2000128
 2  DRB1*14:02-DQB1*03:01-DPB1*02:01:02  Mexico Chihuahua Tarahumara 5.700044
 3  DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 4.9170496
 4  A*02:01:01/02:01:09-B*40:02-C*03:04-DRB1*14:02-DQB1*03:01-DPB1*02:01:02  Mexico Chihuahua Tarahumara 3.400044
 5  A*11:03-B*52:01:01-C*07:02:01-DRB1*11:06-DQB1*03:01:01-DPB1*02:01:02  China Yunnan Province Nu 2.6000107
 6  DRB1*12:02:01-DQB1*03:01:01-DPB1*02:01:02  China Lijiang Naxi 2.6000100
 7  DRB1*11:01-DQB1*03:01-DPB1*02:01  Greece pop3 2.3000246
 8  DRB1*12:01-DQB1*03:01-DPB1*02:01  South Korea pop 1 1.9000324
 9  DRB1*04:05:01-DQB1*03:01:01-DPB1*02:01:02  China Lijiang Naxi 1.8000100
 10  DRB1*11:01:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.7130496
 11  DRB1*12:01:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.7020496
 12  DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  China Canton Han 1.6000264
 13  A*03:01:01-B*53:01:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 14  A*31:01:02-B*27:05:02-C*01:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 15  DRB1*11:04-DRB3*02:02-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Francisco Caucasian 1.4000220
 16  DRB1*11:04-DRB3*02:02-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Francisco Caucasian 1.4000220
 17  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPB1*02:01  South Korea pop 1 1.4000324
 18  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 1.3275833
 19  DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 1.28341,064
 20  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPB1*02:01  South Korea pop 11 1.2000149
 21  DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 1.12731,064
 22  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*02:01  South Korea pop 1 1.1000324
 23  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.9804153
 24  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.7495833
 25  A*31:01:02-B*55:01:01-C*03:03:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 26  A*34:02:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 27  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Panama 0.5700462
 28  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.5602714
 29  A*24:02-B*53:01-C*06:02-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 30  A*30:01-B*81:01-C*18:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 31  A*68:02-B*15:16-C*14:02-DRB1*08:04-DQA1*05:01-DQB1*03:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 32  A*74:01-B*58:01-C*03:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 33  DRB1*04:01:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.4930496
 34  A*68:03-B*35:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.4587218
 35  DRB1*12:02:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.4370496
 36  A*23:01-B*45:01-C*03:04-DRB1*15:01-DQA1*01:02-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.4329339
 37  A*01:01:01-B*35:01:01-C*03:04:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 38  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQA1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 39  A*02:01:01-B*35:02:01-C*17:03:01-DRB1*04:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 40  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 41  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 42  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 43  A*11:01-B*35:02:01-C*07:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 44  A*24:02:01-B*18:01:01-C*07:01:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 45  A*25:01:01-B*15:01:01-C*03:03:01-DRB1*11:03:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 46  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQA1*02:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 47  A*32:01:01-B*35:01:10-C*04:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 48  A*66:01:01-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 49  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.3544833
 50  A*30:01:01-B*44:03:01-C*17:01:01-DRB1*03:02:01-DQB1*03:01:01-DPB1*02:01:19  South African Black 0.3520142
 51  DRB1*14:03:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.3500496
 52  A*02:01-B*44:02-C*05:01-DRB1*12:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.34341,075
 53  A*01:01:01-B*35:03:01-C*03:02:02-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 54  A*02:01:01-B*18:01:01-C*02:02:02-DRB1*03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 55  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 56  A*02:01:01-B*40:02:01-C*03:04:01-DRB1*14:03:01-DQA1*05:03-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 57  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*13:05:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 58  A*02:01:01-B*57:01:01-C*07:02:01-DRB1*07:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 59  A*11:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*02:01:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 60  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*04:07:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 61  A*68:02-B*39:10-C*12:03-DRB1*08:04-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.3195336
 62  A*01:01:01-B*44:03:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 63  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 64  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*08:03:02-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 65  A*03:01:01-B*18:05:01-C*12:03:01-DRB1*08:03:02-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 66  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*11:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 67  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 68  A*31:01:02-B*51:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 69  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.3114833
 70  A*24:02-B*15:10-C*12:02-DRB1*11:01-DQA1*03:01-DQB1*03:01-DPB1*02:01  South Africa Worcester 0.3000159
 71  A*66:03-B*53:01-C*02:10-DRB1*11:01-DQA1*01:01-DQB1*03:01-DPB1*02:01  South Africa Worcester 0.3000159
 72  A*68:01-B*14:01-C*08:04-DRB1*15:03-DQA1*05:01-DQB1*03:01-DPB1*02:01  South Africa Worcester 0.3000159
 73  A*31:01-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.29003,078
 74  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Russia Karelia 0.28231,075
 75  A*02:01-B*27:10-C*15:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 76  A*02:01-B*27:10-C*15:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 77  A*02:01-B*35:08-C*04:01-DRB1*04:07-DQA1*01:03-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 78  A*02:03-B*54:01-C*03:17-DRB1*04:05-DQA1*03:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 79  A*02:07-B*35:01-C*03:03-DRB1*14:05-DQA1*01:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 80  A*23:01-B*27:07-C*15:02-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 81  A*26:01-B*13:01-C*03:04-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 82  A*31:01-B*15:10-C*03:04-DRB1*13:03-DQA1*01:02-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 83  A*31:01-B*48:13-C*03:04-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 84  A*68:01-B*49:01-C*07:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 85  A*74:03-B*44:03-C*04:01-DRB1*04:01-DQA1*03:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 86  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Russia Karelia 0.25251,075
 87  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 88  A*29:02-B*44:03-C*16:01-DRB1*11:04-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 89  A*02:01-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*02:01  Russia Karelia 0.21901,075
 90  DRB1*13:03-DQB1*03:01-DPB1*02:01  Gambia pop 3 0.2177939
 91  A*02:06-B*41:02-C*17:01-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 92  A*03:01-B*35:189-C*02:02-DRB1*14:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 93  A*03:01-B*44:03-C*03:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 94  A*25:01-B*18:01-C*12:03-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 95  A*68:01-B*08:01-C*07:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 96  A*68:01-B*08:01-C*07:01-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 97  A*68:01-B*40:02-C*03:05-DRB1*13:05-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 98  A*68:02-B*41:01-C*07:01-DRB1*13:05-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 99  A*68:03-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 100  DRB1*11:01-DQB1*03:01-DPB1*02:01  Gambia pop 3 0.2012939

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 307) records   Pages: 1 2 3 4 of 4  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional