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 601 to 700 (from 1,218) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*26-B*44-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.1250396
 602  A*30-B*44-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.1250396
 603  A*31-B*44-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.1250396
 604  A*01-B*44-DRB1*07-DQB1*02  Ecuador Andes Mixed Ancestry 0.1214824
 605  A*23-B*44-DRB1*07-DQB1*02  Mexico Tlaxcala Rural 0.1205830
 606  A*24:02-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.1205951
 607  A*25-B*44-DRB1*07-DQB1*02  Mexico Tlaxcala Rural 0.1205830
 608  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Filipino 0.120150,614
 609  A*02-B*44-C*16-DRB1*07-DQB1*02-DPB1*04  Norway ethnic Norwegians 0.12004,510
 610  A*02-B*44-C*16-DRB1*07-DQB1*02-DPB1*11  Norway ethnic Norwegians 0.12004,510
 611  A*33-B*44-DRB1*07-DQB1*02  Mexico Puebla Rural 0.1199833
 612  A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.11951,510
 613  A*30-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.1182641
 614  A*68:01-B*44:02-C*07:04-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.11774,889
 615  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.11671,075
 616  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.114228,927
 617  A*29-B*44-C*16-DRB1*07-DQB1*02-DPB1*02  Norway ethnic Norwegians 0.11004,510
 618  A*68:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.10855,829
 619  A*24:07-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1061951
 620  A*03:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.105911,446
 621  A*02:01:01:01-B*44:02:01:01-C*05:01:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.10581,510
 622  A*02:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1052951
 623  A*02:06-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1052951
 624  A*02:11-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.10492,492
 625  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 626  A*02:01-B*44:03-C*05:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 627  A*24:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 628  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.10304,856
 629  A*31:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 630  A*02-B*44-DRB1*07-DQB1*02  Mexico Oaxaca Rural 0.1027485
 631  A*33-B*44-DRB1*07-DQB1*02  Mexico Oaxaca Rural 0.1027485
 632  A*33:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.10251,463
 633  A*30:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.10202,411
 634  A*32:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.10141,463
 635  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.100211,446
 636  A*24-B*44-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.10021,994
 637  A*23-B*44-C*04-DRB1*07-DQB1*02-DPB1*02  Norway ethnic Norwegians 0.10004,510
 638  A*11-B*44-C*04-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.09951,743
 639  A*24:02:01:01-B*44:05:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.09931,510
 640  A*66-B*44-C*16-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.09851,743
 641  A*03-B*44-C*04-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.09801,743
 642  A*03:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.097523,595
 643  A*24:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.096123,595
 644  A*03:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.09565,829
 645  A*29:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 646  A*68:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 647  A*26-B*44-DRB1*07-DQB1*02  Mexico Veracruz Rural 0.0924539
 648  A*01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.089823,595
 649  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 650  A*24:02-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 651  A*32-B*44-C*16-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.08761,743
 652  A*02:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.08702,411
 653  A*11:01:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 654  A*32:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 655  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 656  A*01-B*44-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.08531,173
 657  A*01-B*44-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.0853585
 658  A*03-B*44-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.0853585
 659  A*24-B*44-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.08531,173
 660  A*30-B*44-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.08531,173
 661  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Japanese 0.085324,582
 662  A*29-B*44-C*04-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.08481,743
 663  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.08383,456,066
 664  A*01-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.08381,189
 665  A*11-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.08381,189
 666  A*24-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.08381,189
 667  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0836185,391
 668  A*11:01-B*44:03-C*05:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.08322,403
 669  A*03:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.082523,595
 670  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.08104,204
 671  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.08002,411
 672  A*02-B*44-DRB1*07:01-DQA1*01:01-DQB1*02:02  Brazil Paraná Caucasian 0.0780641
 673  A*30-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:03  Brazil Paraná Caucasian 0.0780641
 674  A*02:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.07692,492
 675  A*32:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.073211,446
 676  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.07273,456,066
 677  A*02:01:01-B*44:03:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.071323,595
 678  A*11:01-B*44:03-C*05:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.07042,492
 679  A*02:01-B*44:02-C*07:04-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 680  A*02:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 681  A*02:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 682  A*02:11-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 683  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 684  A*11:01-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.0700714
 685  A*24:02-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 686  A*26:01-B*44:03-C*04:01-DRB1*07:01-DQA1*01:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 687  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 688  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*26:01  Sri Lanka Colombo 0.0700714
 689  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*26:01  Sri Lanka Colombo 0.0700714
 690  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 691  A*11-B*44-C*04-DRB1*07-DQB1*02-DPB1*14  Norway ethnic Norwegians 0.07004,510
 692  A*29-B*44-C*16-DRB1*07-DQB1*02-DPB1*01  Norway ethnic Norwegians 0.07004,510
 693  A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06851,463
 694  A*31:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 695  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 696  A*24:02-B*44:02-C*05:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 697  A*24:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 698  A*32:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 699  A*66:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 700  A*26-B*44-DRB1*07-DQB1*02  Mexico Mexico City North 0.0664751

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 601 to 700 (from 1,218) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 13  


   

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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