Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 601 to 700 (from 5,668) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 57  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  DQA1*06:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Uyghur 0.700071
 602  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.6993143
 603  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.6993143
 604  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Mexican or Chicano 0.6992261,235
 605  A*01:01:01-B*18:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 606  A*24:02:01-B*40:01:05-C*05:01:01-DRB1*03:01:01-DQB1*02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 607  A*31:01:02-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 608  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.69104,856
 609  DRB1*03:01-DQB1*02:01  Mexico Nahua/Aztec Santo Domingo Ocotitlan 0.684973
 610  DRB1*03:06-DQB1*02:01  Mexico Nahua/Aztec Santo Domingo Ocotitlan 0.684973
 611  DRB1*07:01-DQB1*02:01  Mexico Nahua/Aztec Santo Domingo Ocotitlan 0.684973
 612  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 613  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 614  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 615  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 616  A*24:02:01-B*53:01:01-C*04:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 617  A*24:02-B*35:03-C*12:03-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 0.6778115,374
 618  A*30:04-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.676614,339
 619  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.676670,890
 620  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Hispanic South or Central American 0.6762146,714
 621  A*23:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.667628,927
 622  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.667228,927
 623  A*02:01-B*15:01-C*03:02-DRB1*04:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 0.6667150
 624  DRB1*03:02-DQB1*02:01-DMB*01:03  Ecuadorean Amerindians 0.666775
 625  DRB1*07:01-DQB1*02:01-DMB*01:04  Ecuadorean Amerindians 0.666775
 626  DRB1*09:01-DQB1*02:01-DMB*01:04  Ecuadorean Amerindians 0.666775
 627  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.66192,492
 628  DRB1*07:01-DQB1*02:01  Italy pop 5 0.6600975
 629  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 630  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.6536153
 631  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 632  A*01:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.6536153
 633  DRB1*09:01-DQB1*02:01  USA Hispanic pop 2 0.64901,999
 634  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African 0.644828,557
 635  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 0.6400234
 636  B*18:01-C*05:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 0.6400234
 637  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.63911,242,890
 638  A*01:01-B*37:01-C*06:02-DRB1*03:01-DQB1*02:01-DPB1*15:01  Tanzania Maasai 0.6390336
 639  A*33:01-B*15:10-C*03:04-DRB1*03:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.6390336
 640  A*68:02-B*07:02-C*15:05-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.6390336
 641  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.63765,926
 642  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 0.633527,978
 643  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.6332833
 644  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.63101,159
 645  A*01:01:01-B*15:03:01-C*02:10:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.6250405
 646  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 647  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 648  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Barra Mansa Rio State Caucasian 0.6250405
 649  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 650  A*24:02:01-B*35:08:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 651  A*24:02:01-B*51:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 652  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.616970,890
 653  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.61604,335
 654  A*68:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.614928,927
 655  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.610011,499
 656  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.6072951
 657  A*02:01-B*35:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.6061330
 658  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.60302,411
 659  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.60292,492
 660  A*01:01-B*81:01-C*18:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  South Africa Worcester 0.6000159
 661  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.599428,927
 662  A*01:01-B*58:01-DRB1*07:01-DQB1*02:01  Mexico Veracruz Xalapa 0.595284
 663  A*02:01-B*35:01-DRB1*03:01-DQB1*02:01  Mexico Veracruz Xalapa 0.595284
 664  A*29:01-B*44:02-DRB1*07:08-DQB1*02:01  Mexico Veracruz Xalapa 0.595284
 665  A*30:01-B*18:01-DRB1*03:01-DQB1*02:01  Mexico Veracruz Xalapa 0.595284
 666  A*31:01-B*15:01-DRB1*07:01-DQB1*02:01  Mexico Veracruz Xalapa 0.595284
 667  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.59482,492
 668  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.593328,927
 669  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.5900975
 670  DRB1*03:01-DQA1*02:01-DQB1*02:01  Spain Las Alpujarras 0.590085
 671  DRB1*13:01-DQA1*03:01-DQB1*02:01  Spain Las Alpujarras 0.590085
 672  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 673  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:07:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 674  A*01:01:01-B*15:03:01-C*02:10:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Rio de Janeiro Parda 0.5882170
 675  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 676  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*01:02:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*17:01:01  Brazil Rio de Janeiro Parda 0.5882170
 677  A*02:05:01-B*15:10:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 678  A*23:01:01-B*38:01:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 679  A*24:314-B*18:01:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:04-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 680  A*30:01:01-B*51:01:01-C*07:01:01-DRB1*11:02:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 681  A*30:02:01-B*08:01:01-C*07:18:01-DRB1*15:02:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 682  A*30:02:01-B*51:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 683  A*36:01-B*15:03:01-C*02:10:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:07:01-DPB1*19:01:01  Brazil Rio de Janeiro Parda 0.5882170
 684  A*74:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 685  A*74:01:01-B*15:10:01-C*02:10:01-DRB1*13:02:01-DQB1*02:01:01-DPA1*03:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 686  A*74:01:01-B*58:02:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 687  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.588035,791
 688  DRB1*07:01:01:01-DQB1*02:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.5870496
 689  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.58701,242,890
 690  DRB1*03:01-DQB1*02:01-DPB1*10:01  Gambia pop 3 0.5806939
 691  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.58054,889
 692  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.5783951
 693  A*01-B*08-DRB1*03:01-DQB1*02:01  Bolivia La Paz Aymaras 0.575087
 694  A*23-B*51-DRB1*14:02-DQB1*02:01  Bolivia La Paz Aymaras 0.575087
 695  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.5750174
 696  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.5750174
 697  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Panama 0.5700462
 698  A*01:01-B*08:01-DRB1*14:06-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 699  A*01:01-B*14:01-DRB1*03:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 700  A*02:01-B*18:01-DRB1*03:01-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288

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 5,668) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 57  


   

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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