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 68 (from 68) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Ireland South 1.6000250
 2  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Ireland South 1.2000250
 3  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Ireland South 1.2000250
 4  A*02:01-B*44:02-C*05:01-DRB1*01:01:01-DQB1*05:01:01  England North West 1.0000298
 5  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.63751,463
 6  A*32:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 7  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.4329339
 8  A*01:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 9  A*02:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*02:02:02-DPB1*04:01:01  Russia Belgorod region 0.3268153
 10  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*05:01  South Africa Worcester 0.3000159
 11  A*29:01-B*44:02-C*05:01-DRB1*01:01-DQA1*05:05-DQB1*05:01-DPB1*18:01  South Africa Worcester 0.3000159
 12  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.29215,926
 13  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Italy pop 5 0.2900975
 14  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.28801,159
 15  A*24:02:01:01-B*44:02:01:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 16  A*32:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*13:01  USA San Diego 0.2600496
 17  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.23904,335
 18  A*68:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.2165339
 19  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 20  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  USA NMDP Black South or Central American 0.18394,889
 21  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.17402,411
 22  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.15361,075
 23  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.14473,456,066
 24  A*01:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Italy pop 5 0.1400975
 25  A*25:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.13203,456,066
 26  A*26:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.12604,856
 27  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.10204,856
 28  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.101423,595
 29  A*32:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.09931,510
 30  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.09741,075
 31  A*02:11-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 32  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 33  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.05733,456,066
 34  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04801,999
 35  A*29:02-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 36  A*32:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.04704,856
 37  A*03:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.04004,856
 38  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03703,456,066
 39  A*02:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03681,510
 40  A*24:02-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03431,463
 41  A*24:02-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 42  A*26:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 43  A*29:02-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*32:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.02633,456,066
 46  A*03:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.02575,829
 47  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.025523,595
 48  A*25:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.024423,595
 49  A*03:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.02223,456,066
 50  A*24:02-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01893,456,066
 51  A*01:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01783,456,066
 52  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.016423,595
 53  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.01335,829
 54  A*32:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01293,456,066
 55  A*01:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.01194,204
 56  A*26:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.01194,204
 57  A*32:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.01143,456,066
 58  A*23:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 59  A*33:03-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 60  A*02:20-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.00865,829
 61  A*68:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.00855,849
 62  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.006323,595
 63  A*31:01:02-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.003623,595
 64  A*68:01:02-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002523,595
 65  A*33:03:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 66  A*03:02:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 67  A*29:02:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002023,595
 68  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.001723,595

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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