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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1,601 to 1,700 (from 4,156) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,601  A*24:02-B*07:05-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.07732,492
 1,602  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*17:01  China Zhejiang Han pop 2 0.0767833
 1,603  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.07583,456,066
 1,604  A*02:01-B*13:02-C*06:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.07501,159
 1,605  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India South UCBB 0.074311,446
 1,606  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.074023,595
 1,607  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.073323,595
 1,608  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.07271,075
 1,609  DRB1*01:02-DQB1*06:02-DPB1*17:01  Gambia pop 3 0.0726939
 1,610  DRB1*08:04-DQB1*06:02-DPB1*107:01  Gambia pop 3 0.0726939
 1,611  DRB1*11:01-DQB1*06:02-DPB1*463:01  Gambia pop 3 0.0726939
 1,612  DRB1*13:02-DQB1*06:02-DPB1*131:01  Gambia pop 3 0.0726939
 1,613  DRB1*14:54-DQB1*06:02-DPB1*105:01  Gambia pop 3 0.0726939
 1,614  DRB1*15:03-DQB1*06:02-DPB1*04:02  Gambia pop 3 0.0726939
 1,615  DRB1*15:03-DQB1*06:02-DPB1*131:01  Gambia pop 3 0.0726939
 1,616  A*31:01:02-B*35:12:01-C*04:01:01-DRB1*04:11:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0720221
 1,617  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.07153,456,066
 1,618  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Chinese 0.071599,672
 1,619  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African 0.071428,557
 1,620  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Southeast Asian 0.071027,978
 1,621  A*02:05-B*44:03-C*04:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.07102,411
 1,622  DRB1*13:01-DQB1*06:02  USA African American pop 4 0.07102,411
 1,623  A*02:01-B*40:01-C*03:04-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.07041,463
 1,624  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*06:01  Sri Lanka Colombo 0.0700714
 1,625  A*02:11-B*07:05-C*07:340-DRB1*14:04-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,626  A*03:01-B*07:02-C*07:02-DRB1*16:01-DQA1*01:02-DQB1*06:02-DPB1*15:01  Sri Lanka Colombo 0.0700714
 1,627  A*03:01-B*35:03-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 1,628  A*11:01-B*15:05-C*03:03-DRB1*16:02-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,629  A*11:01-B*40:06-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,630  A*11:01-B*44:03-C*07:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,631  A*11:01-B*58:01-C*03:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*15:01  Sri Lanka Colombo 0.0700714
 1,632  A*24:02-B*57:01-C*07:27-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,633  A*32:01-B*52:01-C*05:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 1,634  A*33:03-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 1,635  A*02:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,636  A*02:01-B*48:01-C*08:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,637  A*02:01-B*54:01-C*01:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,638  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.07003,078
 1,639  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,640  A*02:06-B*40:02-C*03:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.07003,078
 1,641  A*11:01-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.07003,078
 1,642  A*24:02-B*35:01-C*04:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.07004,856
 1,643  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,644  A*24:02-B*48:01-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,645  A*24:02-B*55:02-C*01:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,646  A*26:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,647  A*26:03-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 1,648  A*31:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,649  A*33:03-B*44:03-C*14:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 1,650  DRB1*08:01-DQB1*06:02  Italy pop 5 0.0700975
 1,651  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP South Asian Indian 0.0698185,391
 1,652  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.06953,456,066
 1,653  A*24:02:01:01-B*38:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06881,510
 1,654  A*01:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,655  A*01:01-B*27:02-C*02:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,656  A*01:01-B*57:01-C*07:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,657  A*01:01-B*57:03-C*07:01-DRB1*15:03-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,658  A*02:01-B*44:03-C*04:01-DRB1*15:03-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,659  A*03:01-B*35:03-C*04:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,660  A*03:01-B*44:02-C*16:04-DRB1*08:06-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,661  A*11:01-B*35:08-C*05:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,662  A*23:01-B*44:03-C*04:01-DRB1*15:03-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,663  A*23:01-B*58:02-C*06:02-DRB1*15:03-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,664  A*30:01-B*07:02-C*07:02-DRB1*15:03-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,665  A*30:02-B*14:02-C*08:02-DRB1*15:03-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,666  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,667  A*32:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,668  A*33:01-B*18:01-C*07:01-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.06841,463
 1,669  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.06831,075
 1,670  A*01:01-B*14:01-C*07:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,671  A*01:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,672  A*01:01-B*57:01-C*07:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,673  A*02:01:01:01-B*44:27:01-C*07:04:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06801,510
 1,674  A*02:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,675  A*02:20-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,676  A*03:02-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,677  A*24:02-B*27:05-C*02:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,678  A*25:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,679  A*26:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,680  A*26:01-B*55:01-C*03:03-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,681  A*31:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,682  A*32:01-B*14:01-C*08:02-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,683  A*32:01-B*15:01-C*03:03-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,684  A*68:01-B*35:03-C*04:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 1,685  A*03:01:01:01-B*27:05:02-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06731,510
 1,686  A*34:02-B*44:03-C*04:01-DRB1*15:03-DRB5*01:01-DQB1*06:02  USA NMDP Hispanic South or Central American 0.0673146,714
 1,687  A*02:01-B*51:01-C*16:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.06702,411
 1,688  A*02:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06661,510
 1,689  A*68:01:02:02-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06641,510
 1,690  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.066323,595
 1,691  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 1,692  A*02:01:01:01-B*07:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 1,693  A*02:01:01:01-B*07:02:01-C*07:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 1,694  A*03:01:01:01-B*07:02:01-C*07:02:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 1,695  A*11:01:01:01-B*18:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 1,696  A*11:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 1,697  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 1,698  A*25:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.066023,595
 1,699  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.06593,456,066
 1,700  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.065423,595

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).


Displaying 1,601 to 1,700 (from 4,156) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 42  


   

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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