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 62 (from 62) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.45101,159
 2  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.4400975
 3  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.33071,510
 4  A*24:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 5  A*25:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 6  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.19171,075
 7  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.18701,999
 8  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA NMDP American Indian South or Central America 0.16455,926
 9  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.13651,463
 10  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.13413,456,066
 11  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.116723,595
 12  A*02:05-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.08702,411
 13  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 14  A*32:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 15  A*24:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.06101,159
 16  A*02:64-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05651,075
 17  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05621,075
 18  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05504,856
 19  A*24:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 20  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.04483,456,066
 21  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.03901,772
 22  A*24:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03704,856
 23  A*03:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03604,856
 24  A*03:02-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 25  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 26  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.03395,829
 27  A*01:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03351,510
 28  A*11:01:01:01-B*44:02:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 29  A*24:02:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 30  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.02633,456,066
 31  A*01:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.02415,849
 32  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 33  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.02043,456,066
 34  A*24:02:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.019923,595
 35  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01963,456,066
 36  A*11:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01894,204
 37  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.01795,849
 38  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01793,456,066
 39  A*33:03-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.01765,829
 40  A*03:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.015211,446
 41  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01464,204
 42  A*03:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01443,456,066
 43  A*11:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.013911,446
 44  A*68:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.01395,829
 45  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.013723,595
 46  A*01:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01363,456,066
 47  A*68:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01144,204
 48  A*03:01:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.010823,595
 49  A*11:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.01002,492
 50  A*32:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.01002,492
 51  A*01:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 52  A*01:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.00884,204
 53  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 54  A*68:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.00805,849
 55  A*11:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.00705,849
 56  A*02:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 57  A*68:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 58  A*26:01-B*44:02-C*05:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.004311,446
 59  A*26:01:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003923,595
 60  A*25:01:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003223,595
 61  A*29:01:01-B*44:02:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002223,595
 62  A*25:01:01-B*44:02:01-C*05:01:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595

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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