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 70 (from 70) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*01:03-DPB1*06:01  Spain Navarre Basques 5.3000116
 2  DPA1*01:03-DPB1*06:01  France Ceph 2.4000124
 3  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Black 1.470668
 4  A*32:01:01-B*27:03-C*02:02:02-DRB1*08:04:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Black 1.470668
 5  DPA1*01:03-DPB1*06:01  Japan Fukuoka 1.200086
 6  DRB1*04:04-DQB1*03:02-DPB1*06:01  Ireland South 1.1000250
 7  A*24:02:01-B*57:01:01-C*06:02:01-DRB1*04:02:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Parda 0.5882170
 8  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*06:01  Russian Federation Vologda Region 0.4202119
 9  A*25:01:01-B*18:01:01-C*02:02:02-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*06:01  Russian Federation Vologda Region 0.4202119
 10  A*26:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 11  A*02:01:01-B*18:01:01-C*07:02:01-DRB1*04:04:01-DQA1*04:02-DQB1*03:02-DPA1*01:03:01-DPB1*06:01  Russia Belgorod region 0.3268153
 12  A*26:01:01-B*14:01:01-C*08:02:01-DRB1*07:01:01-DQA1*03:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*06:01  Russia Belgorod region 0.3268153
 13  A*26:01:01-B*40:02:01-C*12:03:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*02:02:02-DPB1*06:01  Russia Belgorod region 0.3268153
 14  A*30:01:01-B*44:05:01-C*02:02:02-DRB1*16:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*01:03:01-DPB1*06:01  Russia Belgorod region 0.3268153
 15  A*66:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*06:01  Russia Belgorod region 0.3268153
 16  A*03:01:01-B*18:01:01-C*06:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 17  A*11:01-B*44:02-C*06:02-DRB1*01:01-DQA1*01:02-DQB1*05:01-DPB1*06:01  USA San Diego 0.2600496
 18  A*26:01-B*07:02-C*07:02-DRB1*01:03-DQA1*02:01-DQB1*02:02-DPB1*06:01  USA San Diego 0.2600496
 19  A*32:01-B*44:02-C*05:01-DRB1*08:03-DQA1*06:01-DQB1*03:01-DPB1*06:01  USA San Diego 0.2600496
 20  A*01:01-B*55:01-C*01:02-DRB1*04:04-DQA1*05:01-DQB1*03:01-DPB1*06:01  Nicaragua Managua 0.2165339
 21  A*02:01:01-B*44:03:01-C*16:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 22  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*24:02:01-B*15:01:01-C*05:01:01-DRB1*09:01:02-DQB1*04:02:01-DPA1*02:01:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 24  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 25  A*29:02:01-B*15:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 26  A*32:01:01-B*40:02:01-C*15:02:01-DRB1*04:04:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*03:02-DPB1*06:01  Panama 0.1900462
 28  A*02:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*06:01  Russia Karelia 0.18331,075
 29  A*26:01-B*40:01-C*07:02-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*06:01  Japan pop 17 0.16003,078
 30  A*02:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*06:01  Russia Karelia 0.12401,075
 31  A*02:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.07833,456,066
 32  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.07643,456,066
 33  A*02:01-B*27:05-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*06:01  Russia Karelia 0.07301,075
 34  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*06:01  Sri Lanka Colombo 0.0700714
 35  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*06:01  Japan pop 17 0.07003,078
 36  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*06:01  Russia Karelia 0.06711,075
 37  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*06:01  Russia Karelia 0.06201,075
 38  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*06:01  Russia Karelia 0.06061,075
 39  A*24:02-B*51:01-C*14:02-DRB1*07:01-DQB1*02:01-DPB1*06:01  Russia Karelia 0.05651,075
 40  A*26:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*06:01  Russia Karelia 0.05651,075
 41  A*03:01-B*07:02-C*03:04-DRB1*13:01-DQB1*03:03-DPB1*06:01  Russia Karelia 0.05651,075
 42  A*24:02-B*35:01-C*04:01-DRB1*13:03-DQB1*03:01-DPB1*06:01  Russia Karelia 0.05601,075
 43  A*25:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*06:01  Russia Karelia 0.05581,075
 44  A*26:01-B*57:01-C*06:02-DRB1*04:04-DQB1*03:02-DPB1*06:01  Russia Karelia 0.05561,075
 45  A*24:02-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.03593,456,066
 46  A*02:06-B*39:01-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 47  A*02:06-B*39:01-C*07:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 48  A*02:06-B*40:01-C*07:02-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 49  A*24:02-B*07:02-C*07:02-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 50  A*24:02-B*40:01-C*07:02-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 51  A*24:02-B*46:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 52  A*24:02-B*51:01-C*14:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 53  A*31:01-B*51:01-C*03:04-DRB1*14:05-DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 54  A*31:01-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*06:01  Japan pop 17 0.03003,078
 55  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*06:01  Germany DKMS - German donors 0.02343,456,066
 56  A*03:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.02173,456,066
 57  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*06:01  Germany DKMS - German donors 0.02013,456,066
 58  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.01863,456,066
 59  A*24:02-B*15:07-C*03:03-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.01803,456,066
 60  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*06:01  Germany DKMS - German donors 0.01763,456,066
 61  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*06:01  Germany DKMS - German donors 0.01543,456,066
 62  A*02:01-B*44:02-C*05:01-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.01493,456,066
 63  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*06:01  Germany DKMS - German donors 0.01423,456,066
 64  A*11:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*06:01  Germany DKMS - German donors 0.01273,456,066
 65  A*03:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*06:01  Germany DKMS - German donors 0.01253,456,066
 66  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*06:01  Germany DKMS - German donors 0.01193,456,066
 67  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*06:01  Germany DKMS - German donors 0.01183,456,066
 68  A*68:01-B*44:02-C*07:04-DRB1*01:01-DQB1*05:01-DPB1*06:01  Germany DKMS - German donors 0.01163,456,066
 69  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*06:01  Germany DKMS - German donors 0.01143,456,066
 70  A*31:01-B*40:02-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*06:01  Germany DKMS - German donors 0.01133,456,066

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).




   

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