Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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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 42 (from 42) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*13:01-DQB1*06:03-DPB1*03:01  Ireland South 1.0000250
 2  A*03:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 3  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 4  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*04:01:01-DQB1*06:03-DPA1*02:01:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 5  A*32:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 6  DRB1*13:01-DQB1*06:03-DPB1*03:01  Gambia pop 3 0.3347939
 7  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.32801,075
 8  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:02:01-DQB1*06:03-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 9  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 10  A*31:01:02-B*15:08-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.314128,927
 11  A*01:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 12  A*11:01:01-B*14:02:01-C*07:02:01-DRB1*08:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 13  A*01:01-B*15:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:03-DPB1*03:01  USA San Diego 0.2600496
 14  A*30:01-B*15:01-C*03:03-DRB1*07:01-DQA1*01:03-DQB1*06:03-DPB1*03:01  USA San Diego 0.2600496
 15  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 16  A*24:02:01-B*35:08:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 17  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 18  A*30:02-B*27:03-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*03:01  Panama 0.1900462
 19  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.125028,927
 20  A*02:01-B*51:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.11291,075
 21  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.10031,075
 22  A*31:01-B*40:06-C*15:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*03:01  Sri Lanka Colombo 0.0700714
 23  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.06431,075
 24  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.06003,456,066
 25  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*03:01  China Zhejiang Han pop 2 0.0600833
 26  A*31:01-B*51:01-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.05651,075
 27  A*26:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.05651,075
 28  A*02:01-B*44:02-C*07:04-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.05641,075
 29  A*24:02-B*40:02-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*03:01  Russia Karelia 0.05561,075
 30  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.05113,456,066
 31  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.05043,456,066
 32  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.04443,456,066
 33  A*02:30-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.03363,456,066
 34  A*11:01-B*44:02-C*05:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 35  A*24:02-B*50:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 36  A*03:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.02383,456,066
 37  A*02:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.02303,456,066
 38  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.01963,456,066
 39  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.01473,456,066
 40  A*01:01-B*57:01-C*06:02-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.01313,456,066
 41  A*03:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.01293,456,066
 42  A*02:01-B*40:01-C*03:04-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.01273,456,066

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.

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