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 117) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*01:04-DPB1*15:01  India Bombay 1.700059
 2  A*03:01-B*47:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*15:01  South Africa Worcester 1.6000159
 3  DPA1*01:04-DPB1*15:01  Russia Tuva pop 2 1.2000169
 4  DRB1*07:01-DQB1*02:02-DPB1*15:01  Gambia pop 3 1.1611939
 5  A*01:01-B*37:01-C*06:02-DRB1*03:01-DQB1*02:01-DPB1*15:01  Tanzania Maasai 0.6390336
 6  A*29:15-B*58:01-C*04:01-DRB1*08:04-DQA1*05:01-DQB1*03:01-DPB1*15:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 7  A*11:01:01-B*35:03:01-C*01:02:01-DRB1*04:08:01-DQA1*03:03:01-DQB1*06:01:01-DPA1*01:04:01-DPB1*15:01:01  Russian Federation Vologda Region 0.4202119
 8  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*15:01:01  Russian Federation Vologda Region 0.4202119
 9  A*25:01:01-B*18:01-C*07:01:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*15:01:01  Russian Federation Vologda Region 0.4202119
 10  A*03:01:01-B*58:02:01-C*06:02:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*15:01:01  South African Black 0.3520142
 11  A*68:02:01-B*15:16:01-C*03:04:02-DRB1*03:02:01-DQB1*03:19:01-DPB1*15:01:01  South African Black 0.3520142
 12  A*25:03-B*18:01:01-C*04:01:01-DRB1*07:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*15:01:01  Russia Belgorod region 0.3268153
 13  A*68:02-B*41:01-C*17:01-DRB1*03:01-DQB1*02:01-DPB1*15:01  Tanzania Maasai 0.3195336
 14  A*02:01:01-B*45:01:01-C*16:01:01-DRB1*13:02:01-DQB1*05:01:01-DPA1*02:01:08-DPB1*15:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 15  A*02:05:01-B*45:01:01-C*05:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:04-DPB1*15:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 16  A*03:01:01-B*57:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*15:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 17  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*07:01:01-DQB1*03:04:01-DPA1*02:02:02-DPB1*158:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 18  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*16:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*15:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 19  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*04:08:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*150:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 20  A*11:01-B*07:02-C*07:02-DRB1*14:04-DQA1*01:02-DQB1*05:03-DPB1*15:01  South Africa Worcester 0.3000159
 21  A*01:01-B*15:01-C*03:03-DRB1*04:01-DQA1*02:01-DQB1*02:02-DPB1*15:01  USA San Diego 0.2600496
 22  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQA1*01:01-DQB1*05:01-DPB1*15:01  USA San Diego 0.2600496
 23  A*03:01-B*57:01-C*07:01-DRB1*15:01-DQA1*02:01-DQB1*03:03-DPB1*15:01  USA San Diego 0.2600496
 24  A*11:01-B*35:03-C*12:03-DRB1*04:08-DQB1*03:04-DPB1*15:01  Russia Karelia 0.22581,075
 25  DRB1*07:01-DQB1*02:01-DPB1*15:01  Gambia pop 3 0.2177939
 26  A*03:01-B*07:02-C*01:02-DRB1*04:07-DQA1*03:01-DQB1*03:01-DPB1*15:01  Nicaragua Managua 0.2165339
 27  A*11:01:01-B*44:02:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:04-DPB1*15:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 28  A*02:17-B*51:01-C*15:02-DRB1*09:01-DQB1*03:01-DPB1*15:01  Panama 0.1900462
 29  A*01:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:85-DPB1*15:01  Tanzania Maasai 0.1597336
 30  A*02:02-B*57:03-C*07:371-DRB1*15:03-DQB1*06:02-DPB1*15:01  Tanzania Maasai 0.1597336
 31  A*03:01-B*45:01-C*18:01-DRB1*15:03-DQB1*06:02-DPB1*15:01  Tanzania Maasai 0.1597336
 32  A*29:01-B*44:15-C*07:76-DRB1*15:03-DQB1*06:02-DPB1*15:01  Tanzania Maasai 0.1597336
 33  A*29:02-B*13:02-C*06:27-DRB1*01:01-DQB1*03:01-DPB1*15:01  Tanzania Maasai 0.1597336
 34  A*30:01-B*13:03-C*01:11-DRB1*15:03-DQB1*06:02-DPB1*15:01  Tanzania Maasai 0.1597336
 35  A*30:01-B*57:03-C*01:35-DRB1*15:03-DQB1*06:02-DPB1*15:01  Tanzania Maasai 0.1597336
 36  A*30:02-B*15:03-C*06:04-DRB1*15:03-DQB1*05:01-DPB1*15:01  Tanzania Maasai 0.1597336
 37  A*34:02-B*35:02-C*04:01-DRB1*11:04-DQB1*05:01-DPB1*15:01  Tanzania Maasai 0.1597336
 38  A*11:01-B*15:01-C*04:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*15:01  Sri Lanka Colombo 0.1401714
 39  DRB1*03:01-DQB1*02:01-DPB1*15:01  Gambia pop 3 0.0726939
 40  DRB1*09:01-DQB1*02:01-DPB1*15:01  Gambia pop 3 0.0726939
 41  DRB1*10:01-DQB1*02:02-DPB1*15:01  Gambia pop 3 0.0726939
 42  A*02:01-B*35:01-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*05:02-DPB1*15:01  Sri Lanka Colombo 0.0700714
 43  A*02:11-B*35:03-C*04:01-DRB1*04:03-DQA1*05:01-DQB1*03:01-DPB1*15:01  Sri Lanka Colombo 0.0700714
 44  A*02:16-B*35:03-C*12:03-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*15:01  Sri Lanka Colombo 0.0700714
 45  A*03:01-B*07:02-C*07:02-DRB1*16:01-DQA1*01:02-DQB1*06:02-DPB1*15:01  Sri Lanka Colombo 0.0700714
 46  A*03:01-B*35:03-C*04:01-DRB1*14:33-DQA1*01:03-DQB1*06:03-DPB1*15:01  Sri Lanka Colombo 0.0700714
 47  A*03:01-B*40:06-C*15:02-DRB1*14:06-DQA1*03:01-DQB1*03:02-DPB1*15:01  Sri Lanka Colombo 0.0700714
 48  A*11:01-B*51:06-C*14:02-DRB1*14:04-DQA1*03:01-DQB1*03:01-DPB1*15:01  Sri Lanka Colombo 0.0700714
 49  A*11:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*15:01  Sri Lanka Colombo 0.0700714
 50  A*11:01-B*58:01-C*03:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*15:01  Sri Lanka Colombo 0.0700714
 51  A*24:02-B*51:01-C*07:02-DRB1*15:02-DQA1*05:01-DQB1*05:02-DPB1*15:01  Sri Lanka Colombo 0.0700714
 52  A*24:02-B*51:01-C*15:02-DRB1*15:06-DQA1*01:01-DQB1*05:01-DPB1*15:01  Sri Lanka Colombo 0.0700714
 53  A*24:07-B*35:05-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*15:01  Sri Lanka Colombo 0.0700714
 54  A*26:01-B*51:06-C*14:02-DRB1*07:01-DQA1*01:01-DQB1*05:03-DPB1*15:01  Sri Lanka Colombo 0.0700714
 55  A*31:01-B*18:01-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*15:01  Sri Lanka Colombo 0.0700714
 56  A*33:03-B*35:01-C*04:01-DRB1*13:01-DQA1*01:01-DQB1*06:03-DPB1*15:01  Sri Lanka Colombo 0.0700714
 57  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*15:01  Sri Lanka Colombo 0.0700714
 58  A*68:01-B*51:01-C*14:02-DRB1*15:02-DQA1*01:01-DQB1*05:03-DPB1*15:01  Sri Lanka Colombo 0.0700714
 59  A*02-B*35-C*04-DRB1*14-DQB1*05-DPB1*15  Norway ethnic Norwegians 0.06004,510
 60  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:04-DPB1*15:01  China Zhejiang Han pop 2 0.0600833
 61  A*11:01-B*35:03-C*12:03-DRB1*04:08-DQB1*03:04-DPB1*15:01  Germany DKMS - German donors 0.05993,456,066
 62  A*02:01-B*27:05-C*15:11-DRB1*11:01-DQB1*03:01-DPB1*15:01  Russia Karelia 0.05651,075
 63  A*24:02-B*49:01-C*07:01-DRB1*13:02-DQB1*06:04-DPB1*15:01  Russia Karelia 0.05651,075
 64  A*26:01-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*15:01  Russia Karelia 0.05651,075
 65  A*26:01-B*40:02-C*03:04-DRB1*08:03-DQB1*03:01-DPB1*15:01  Russia Karelia 0.05651,075
 66  A*24:02-B*51:01-C*15:02-DRB1*09:01-DQB1*03:03-DPB1*15:01  Russia Karelia 0.05651,075
 67  A*02:01-B*40:01-C*03:04-DRB1*07:01-DQB1*02:01-DPB1*15:01  Russia Karelia 0.05651,075
 68  A*02:01-B*15:01-C*03:04-DRB1*04:08-DQB1*03:04-DPB1*15:01  Russia Karelia 0.05651,075
 69  A*03:01-B*15:01-C*03:04-DRB1*13:03-DQB1*03:01-DPB1*15:01  Russia Karelia 0.05641,075
 70  A*32:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:03-DPB1*15:01  Russia Karelia 0.05641,075
 71  A*02:01-B*27:05-C*01:02-DRB1*11:04-DQB1*03:01-DPB1*15:01  Russia Karelia 0.05581,075
 72  A*03:01-B*47:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*15:01  Germany DKMS - German donors 0.04773,456,066
 73  A*03-B*47-C*06-DRB1*07-DQB1*02-DPB1*15  Norway ethnic Norwegians 0.04004,510
 74  A*11-B*44-C*05-DRB1*13-DQB1*06-DPB1*15  Norway ethnic Norwegians 0.03004,510
 75  A*02-B*15-C*03-DRB1*15-DQB1*06-DPB1*15  Norway ethnic Norwegians 0.02004,510
 76  A*29-B*44-C*16-DRB1*07-DQB1*02-DPB1*15  Norway ethnic Norwegians 0.02004,510
 77  A*68-B*47-C*06-DRB1*13-DQB1*06-DPB1*15  Norway ethnic Norwegians 0.02004,510
 78  A*02:05-B*49:01-C*07:01-DRB1*11:02-DQB1*03:01-DPB1*15:01  Germany DKMS - German donors 0.01813,456,066
 79  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*15:01  Germany DKMS - German donors 0.01713,456,066
 80  A*29:02-B*44:03-C*16:01-DRB1*04:04-DQB1*03:02-DPB1*15:01  Germany DKMS - German donors 0.01213,456,066
 81  A*01:01-B*08:01-C*07:01-DRB1*07:01-DQB1*02:01-DPB1*15:01  Germany DKMS - German donors 0.01053,456,066
 82  A*01-B*08-C*07-DRB1*01-DQB1*05-DPB1*15  Norway ethnic Norwegians 0.01004,510
 83  A*01-B*18-C*05-DRB1*04-DQB1*03-DPB1*15  Norway ethnic Norwegians 0.01004,510
 84  A*01-B*38-C*12-DRB1*04-DQB1*03-DPB1*15  Norway ethnic Norwegians 0.01004,510
 85  A*02-B*07-C*07-DRB1*01-DQB1*06-DPB1*15  Norway ethnic Norwegians 0.01004,510
 86  A*02-B*07-C*07-DRB1*15-DQB1*06-DPB1*15  Norway ethnic Norwegians 0.01004,510
 87  A*02-B*18-C*05-DRB1*03-DQB1*02-DPB1*15  Norway ethnic Norwegians 0.01004,510
 88  A*02-B*40-C*02-DRB1*07-DQB1*02-DPB1*15  Norway ethnic Norwegians 0.01004,510
 89  A*02-B*40-C*03-DRB1*01-DQB1*06-DPB1*15  Norway ethnic Norwegians 0.01004,510
 90  A*02-B*44-C*05-DRB1*04-DQB1*03-DPB1*15  Norway ethnic Norwegians 0.01004,510
 91  A*02-B*44-C*05-DRB1*12-DQB1*03-DPB1*15  Norway ethnic Norwegians 0.01004,510
 92  A*02-B*44-C*07-DRB1*11-DQB1*03-DPB1*15  Norway ethnic Norwegians 0.01004,510
 93  A*02-B*51-C*16-DRB1*04-DQB1*03-DPB1*15  Norway ethnic Norwegians 0.01004,510
 94  A*03-B*15-C*03-DRB1*04-DQB1*03-DPB1*15  Norway ethnic Norwegians 0.01004,510
 95  A*03-B*35-C*04-DRB1*11-DQB1*03-DPB1*15  Norway ethnic Norwegians 0.01004,510
 96  A*03-B*51-C*14-DRB1*11-DQB1*03-DPB1*15  Norway ethnic Norwegians 0.01004,510
 97  A*03-B*55-C*03-DRB1*04-DQB1*03-DPB1*15  Norway ethnic Norwegians 0.01004,510
 98  A*11-B*35-C*04-DRB1*01-DQB1*05-DPB1*15  Norway ethnic Norwegians 0.01004,510
 99  A*11-B*35-C*12-DRB1*04-DQB1*03-DPB1*15  Norway ethnic Norwegians 0.01004,510
 100  A*11-B*47-C*06-DRB1*13-DQB1*06-DPB1*15  Norway ethnic Norwegians 0.01004,510

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 117) 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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional