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 55 (from 55) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:02-B*08:01-C*07:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 2  A*03:01-B*08:01-DRB1*11:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 3  A*29:01-B*08:01-DRB1*11:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 4  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 5  A*03:01:01-B*08:01:01-C*07:02:01-DRB1*11:01:01-DQA1*02:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 6  A*23:01-B*08:01-C*07:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:02  USA San Diego 0.2600496
 7  A*68:01-B*08:01-C*07:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 8  A*01:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.17501,159
 9  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.14211,510
 10  A*24:02-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 11  A*01:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  USA NMDP American Indian South or Central America 0.12455,926
 12  A*01:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.10851,075
 13  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.088823,595
 14  A*23:01-B*08:01-C*03:04-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.08702,411
 15  A*30:02-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.08702,411
 16  A*01:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.08573,456,066
 17  A*01:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.07104,856
 18  A*03:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 19  A*26:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.06585,849
 20  A*01:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.06503,456,066
 21  A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.05821,510
 22  A*01:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 23  A*33:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 24  A*11:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04224,204
 25  A*03:02-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 26  A*26:01-B*08:01-C*01:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 27  A*01:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.03323,456,066
 28  A*03:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.02585,849
 29  A*01:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.02563,456,066
 30  A*01:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02414,204
 31  A*24:02-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02092,403
 32  A*24:02-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01894,204
 33  A*33:03-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01885,829
 34  A*26:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.017411,446
 35  A*01:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01735,849
 36  A*26:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01714,204
 37  A*68:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01604,856
 38  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.012723,595
 39  A*24:02-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01115,849
 40  A*02:02-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 41  A*03:01-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 42  A*33:03-B*08:01-C*07:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 43  A*11:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00995,849
 44  A*26:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.009723,595
 45  A*26:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00945,829
 46  A*01:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00875,829
 47  A*68:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.008711,446
 48  A*31:01-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 49  A*26:14-B*08:01-C*07:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 50  A*32:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003623,595
 51  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003523,595
 52  A*11:01:01-B*08:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003023,595
 53  A*29:02:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 54  A*25:01:01-B*08:01:01-C*16:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001823,595
 55  A*24:02:01-B*08:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001623,595

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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional