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 41 (from 41) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*04:05-DQB1*03:02-DPB1*01:01  Gambia pop 3 1.4770939
 2  A*03:01:01-B*14:02:01-C*17:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 3  A*32:01:01-B*42:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 1.1765170
 4  A*23:01-B*07:02-C*02:10-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  South Africa Worcester 1.0000159
 5  A*23:17-B*41:01:01-C*17:01:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*01:01:01  South African Black 0.7040142
 6  A*23:01-B*44:03-C*02:10-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.6000159
 7  A*32:01-B*07:02-C*07:01-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.6000159
 8  A*03:01:01-B*58:01:01-C*04:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 9  A*01:01:01-B*15:10:01-C*03:04:02-DRB1*04:01:01-DQB1*03:02:01-DPB1*01:01:01  South African Black 0.3520142
 10  A*36:01-B*58:01-C*16:01-DRB1*11:01-DQB1*03:02-DPB1*01:01  Tanzania Maasai 0.3195336
 11  A*01:01:01-B*07:02:01-C*06:02:01-DRB1*04:02:01-DQB1*03:02:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 12  A*01:23-B*57:01-C*06:02-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.3000159
 13  A*23:01-B*15:10-C*06:02-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.3000159
 14  A*29:01-B*08:01-C*07:01-DRB1*01:01-DQA1*05:01-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.3000159
 15  A*43:01-B*27:05-C*02:02-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.3000159
 16  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  USA San Diego 0.2600496
 17  DRB1*04:01-DQB1*03:02-DPB1*01:01  Gambia pop 3 0.2311939
 18  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 19  A*30:01:01-B*42:02:01-C*17:01:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 20  A*68:01:01-B*51:01:01-C*03:04:01-DRB1*04:11:01-DQB1*03:02:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 21  A*68:02:01-B*38:01:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 22  A*02:01-B*35:12-C*04:01-DRB1*03:01-DQB1*03:02-DPB1*01:01  Panama 0.1900462
 23  A*23:01-B*08:01-C*07:01-DRB1*04:03-DQB1*03:02-DPB1*01:01  Panama 0.1900462
 24  A*30:01-B*42:02-C*17:01-DRB1*04:03-DQB1*03:02-DPB1*01:01  Panama 0.1900462
 25  A*68:01-B*13:02-C*06:02-DRB1*01:01-DQB1*03:02-DPB1*01:01  Panama 0.1900462
 26  A*74:01-B*15:01-C*01:02-DRB1*04:05-DQB1*03:02-DPB1*01:01  Panama 0.1900462
 27  A*30:04-B*39:24-C*07:01-DRB1*13:03-DQB1*03:02-DPB1*01:01  Tanzania Maasai 0.1597336
 28  A*30:04-B*41:01-C*07:249-DRB1*04:05-DQB1*03:02-DPB1*01:01  Tanzania Maasai 0.1597336
 29  DRB1*13:01-DQB1*03:02-DPB1*01:01  Gambia pop 3 0.1451939
 30  A*32:01:01-B*41:01-C*07:01:01-DRB1*04:05-DQB1*03:02:01-DPB1*01:01:01  Saudi Arabia pop 6 (G) 0.124228,927
 31  DRB1*03:02-DQB1*03:02-DPB1*01:01  Gambia pop 3 0.0726939
 32  A*11:01-B*52:01-C*12:02-DRB1*09:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 33  A*11:01-B*52:01-C*12:02-DRB1*14:04-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 34  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 35  A*26:01-B*56:01-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 36  A*33:03-B*58:01-C*03:02-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 37  A*68:01-B*15:18-C*07:04-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  Sri Lanka Colombo 0.0700714
 38  DRB1*13:04-DQB1*03:02-DPB1*01:01  Gambia pop 3 0.0387939
 39  DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*01:01  Hong Kong Chinese HKBMDR. DQ and DP 0.03621,064
 40  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*01:01  Germany DKMS - German donors 0.01483,456,066
 41  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*01:01  Germany DKMS - German donors 0.01183,456,066

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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