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 225) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 11 4.4000149
 2  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 1 3.4000324
 3  DRB1*04:06-DQB1*03:02-DPB1*02:01  South Korea pop 1 3.4000324
 4  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 2 3.0000207
 5  DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 2.5840496
 6  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  China Canton Han 2.2000264
 7  DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 1.58011,064
 8  A*02:06-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 1.3761218
 9  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 1.27031,075
 10  A*11:01-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 1.20003,078
 11  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 2 1.0000207
 12  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.9372833
 13  DRB1*04:06:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.7060496
 14  A*02:06-B*44:02-C*05:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.6494339
 15  A*74:01-B*35:01-C*04:01-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Africa Worcester 0.6000159
 16  DRB1*04:03:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.5930496
 17  A*26:01:01-B*27:05:02-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:05-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 18  A*29:02:01-B*44:03:01-C*16:02:01-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 19  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:08:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 20  A*68:02:01-B*15:10:01-C*07:01:01-DRB1*15:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 21  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.5210496
 22  DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.51431,064
 23  DRB1*04:04:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.4670496
 24  A*26:01-B*44:02-C*05:01-DRB1*04:02-DQA1*03:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.4329339
 25  DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.4255833
 26  A*02:01:01-B*15:07:01-C*03:03:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:02-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 27  A*03:01:01-B*39:01:01-C*02:02:02-DRB1*11:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 28  A*24:02:01-B*39:01:01-C*03:03:01-DRB1*13:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 29  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*13:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 30  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.4202714
 31  A*68:01-B*15:18-C*07:04-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.4202714
 32  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 33  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.3195336
 34  A*01:03-B*18:01-C*07:04-DRB1*04:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.3195336
 35  A*02:01:01-B*41:02:01-C*17:03:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 36  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 37  A*68:01:01-B*44:03:01-C*04:01:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 38  A*68:01:02-B*51:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 39  DRB1*04:01:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.3020496
 40  A*34:02-B*07:02-C*07:02-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Africa Worcester 0.3000159
 41  DRB1*13:01-DQB1*03:02-DPB1*02:01  Gambia pop 3 0.2903939
 42  DRB1*04:01-DQB1*03:02-DPB1*02:01  Gambia pop 3 0.2769939
 43  A*02:01-B*51:01-C*15:02-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.2600496
 44  A*02:01-B*57:01-C*06:02-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.2600496
 45  A*23:01-B*44:03-C*04:01-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.2600496
 46  A*24:02-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.26003,078
 47  A*31:01-B*39:02-C*03:04-DRB1*14:01-DQA1*01:01-DQB1*03:02-DPB1*02:01  USA San Diego 0.2600496
 48  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.24871,075
 49  A*24:02-B*15:07-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 50  A*02:01-B*35:12-C*04:01-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 51  A*24:02-B*35:12-C*04:01-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 52  A*24:02-B*40:02-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.2294218
 53  A*02:01-B*37:01-C*06:02-DRB1*04:02-DQA1*03:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.2165339
 54  A*24:02-B*40:08-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.2165339
 55  A*26:01-B*35:43-C*01:02-DRB1*04:02-DQA1*03:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.2165339
 56  A*32:01-B*35:01-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Nicaragua Managua 0.2165339
 57  A*02:06-B*48:01-C*08:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 58  A*02:01:01-B*27:05:02-C*06:02:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 59  A*02:01:01-B*44:03:01-C*07:01:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 60  A*68:01:01-B*38:01:01-C*06:02:01-DRB1*11:04:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 61  A*25:01-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.19061,075
 62  A*01:01-B*57:01-C*07:01-DRB1*07:01-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 63  A*01:01-B*58:01-C*07:01-DRB1*04:05-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 64  A*02:01-B*39:05-C*07:02-DRB1*11:01-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 65  A*11:01-B*35:01-C*04:01-DRB1*15:03-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 66  A*24:02-B*35:03-C*04:01-DRB1*16:01-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 67  A*68:01-B*40:02-C*12:02-DRB1*04:07-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 68  A*68:02-B*49:01-C*07:01-DRB1*04:05-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 69  A*68:03-B*14:02-C*08:02-DRB1*11:02-DQB1*03:02-DPB1*02:01  Panama 0.1900462
 70  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1894833
 71  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:02-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.187528,927
 72  A*02:01-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.16191,075
 73  A*01:01-B*57:03-C*07:181-DRB1*04:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.1597336
 74  A*30:10-B*35:01-C*06:02-DRB1*11:01-DQB1*03:02-DPB1*02:01  Tanzania Maasai 0.1597336
 75  A*02:01:01-B*51:01:01-C*07:02:01-DRB1*04:05-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.144628,927
 76  A*32:01:01-B*51:01:01-C*16:04-DRB1*04:05-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.143128,927
 77  A*11:01-B*51:01-C*16:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 78  A*33:03-B*07:02-C*07:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 79  A*33:03-B*35:01-C*04:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 80  A*68:01-B*55:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 81  A*68:01:01-B*35:03:01-C*04:01:01-DRB1*04:05-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.130728,927
 82  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.1156833
 83  A*02:01-B*38:01-C*03:03-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.11291,075
 84  A*02:01-B*56:01-C*01:02-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.11271,075
 85  A*03:01-B*38:01-C*12:03-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.11151,075
 86  A*25:01-B*18:01-C*12:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.10803,456,066
 87  A*02:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02-DPB1*02:01  Russia Karelia 0.10651,075
 88  DRB1*04:02:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1060496
 89  DRB1*07:01:01:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 90  DRB1*13:02:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 91  DRB1*15:01:01:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 92  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.10073,456,066
 93  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 94  A*26:01-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 95  A*26:03-B*35:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 96  A*31:01-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 97  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02-DPB1*02:01  Russia Karelia 0.09681,075
 98  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.09441,075
 99  A*68:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.092028,927
 100  A*24:02:01-B*51:01:01-C*04:01:01-DRB1*04:02-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.090528,927

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 225) records   Pages: 1 2 3 of 3  


   

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