Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 501 to 600 (from 997) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*23:01-B*35:03-C*02:02-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 502  A*24:02-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 503  A*25:01-B*49:01-C*07:04-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 504  A*30:02-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 505  A*30:02-B*41:01-C*17:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 506  A*33:03-B*15:10-C*03:04-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 507  A*33:03-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 508  A*68:01-B*52:01-C*16:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 509  A*74:01-B*15:03-C*02:02-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 510  A*01:01-B*37:01-C*06:02-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 511  A*01:01-B*58:01-C*07:01-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 512  A*02:01-B*18:01-C*02:02-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 513  A*02:01-B*51:01-C*01:02-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 514  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 515  A*02:05-B*58:01-C*07:18-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 516  A*03:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 517  A*11:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 518  A*24:02-B*18:01-C*12:03-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 519  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 520  A*68:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 521  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP European Caucasian 0.03351,242,890
 522  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 523  A*11:01:01:01-B*41:02:01-C*17:03-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 524  A*11:01:01-B*18:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 525  A*25:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 526  A*25:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 527  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 528  A*26:01:01-B*58:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 529  A*29:02:01:01-B*51:08:01-C*16:02:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 530  A*31:01:02:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 531  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 532  A*68:13:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 533  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP North American Amerindian 0.031135,791
 534  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.03104,856
 535  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03071,463
 536  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 537  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 538  A*31:01-B*51:01-C*14:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 539  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:03-DQB1*06:09-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 540  DRB1*10:01-DQB1*06:09  Italy pop 5 0.0300975
 541  DRB1*13:01-DQB1*06:09  Italy pop 5 0.0300975
 542  DRB1*16:01-DQB1*06:09  Italy pop 5 0.0300975
 543  A*68:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02992,492
 544  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02962,492
 545  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Hispanic South or Central American 0.0295146,714
 546  A*31:01:02-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02951,734
 547  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02941,734
 548  A*68:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.02925,849
 549  A*30:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02891,734
 550  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 551  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 552  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 553  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 554  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 555  A*24:02:01-B*58:01:01-C*03:04:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 556  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 557  A*30:01:01-B*35:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 558  A*30:01:01-B*58:01:01-C*15:02:01-DRB1*09:01:02-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 559  A*33:03:01-B*40:01:02-C*01:02:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 560  A*33:03:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 561  A*34:01:01-B*15:02:01-C*08:01:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 562  A*68:01:02-B*44:03:01-C*04:01:01-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 563  A*68:01:02-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  China Zhejiang Han 0.02881,734
 564  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.028723,595
 565  A*26:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02804,856
 566  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02724,204
 567  A*66:01-B*08:01-C*03:04-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.02702,411
 568  A*02:01:01-B*52:01:02-C*03:03:01-DRB1*14:06:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0268221
 569  A*03:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.02665,829
 570  A*32:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.026111,446
 571  A*11:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  India West UCBB 0.02575,829
 572  A*01:01-B*51:01-C*16:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.02565,849
 573  A*03:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.02565,849
 574  A*31:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.025611,446
 575  DQA1*01:02-DQB1*06:09-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.02491,064
 576  A*03:01-B*14:02-C*08:02-DRB1*13:02-DQB1*06:09-DPB1*05:01  Germany DKMS - German donors 0.02463,456,066
 577  A*26:01-B*08:01-C*07:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02454,204
 578  A*11:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.024111,446
 579  A*26:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02404,204
 580  A*01:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02384,204
 581  A*03:02-B*13:02-C*06:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02384,204
 582  A*32:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02384,204
 583  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*12:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0236221
 584  A*11:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02324,204
 585  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02302,492
 586  A*30:01:01-B*57:02:01-C*18:01-DRB1*03:02:01-DQB1*06:09:01  Costa Rica Central Valley Mestizo (G) 0.0227221
 587  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.02202,411
 588  A*01:01-B*58:02-C*06:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.02202,411
 589  A*26:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.02195,849
 590  A*23:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.021811,446
 591  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.021711,446
 592  A*24:02-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.02165,849
 593  A*01:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02162,492
 594  A*32:01-B*15:18-C*07:04-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02122,492
 595  A*26:01:01-B*51:07:01-C*14:02:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.021223,595
 596  A*02:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 597  A*02:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 598  A*23:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 599  A*24:02-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 600  A*33:03-B*27:02-C*02:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856

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 501 to 600 (from 997) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  


   

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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