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 501 to 600 (from 963) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 10  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  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
 502  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
 503  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
 504  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
 505  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
 506  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
 507  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
 508  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
 509  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
 510  A*30:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.03104,856
 511  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03071,463
 512  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
 513  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
 514  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
 515  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
 516  DRB1*10:01-DQB1*06:09  Italy pop 5 0.0300975
 517  DRB1*13:01-DQB1*06:09  Italy pop 5 0.0300975
 518  DRB1*16:01-DQB1*06:09  Italy pop 5 0.0300975
 519  A*68:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02992,492
 520  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02962,492
 521  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
 522  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
 523  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
 524  A*68:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.02925,849
 525  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
 526  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
 527  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
 528  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
 529  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
 530  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
 531  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
 532  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
 533  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
 534  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
 535  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
 536  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
 537  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
 538  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
 539  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
 540  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
 541  A*26:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02804,856
 542  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02724,204
 543  A*66:01-B*08:01-C*03:04-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.02702,411
 544  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
 545  A*03:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.02665,829
 546  A*32:01-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.026111,446
 547  A*11:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  India West UCBB 0.02575,829
 548  A*01:01-B*51:01-C*16:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.02565,849
 549  A*03:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.02565,849
 550  A*31:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.025611,446
 551  DQA1*01:02-DQB1*06:09-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.02491,064
 552  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
 553  A*26:01-B*08:01-C*07:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02454,204
 554  A*11:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.024111,446
 555  A*26:01-B*07:02-C*07:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02404,204
 556  A*01:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02384,204
 557  A*03:02-B*13:02-C*06:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02384,204
 558  A*32:01-B*35:01-C*04:01-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02384,204
 559  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
 560  A*11:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02324,204
 561  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02302,492
 562  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
 563  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.02202,411
 564  A*01:01-B*58:02-C*06:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.02202,411
 565  A*26:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.02195,849
 566  A*23:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.021811,446
 567  A*02:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.021711,446
 568  A*24:02-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.02165,849
 569  A*01:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02162,492
 570  A*32:01-B*15:18-C*07:04-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02122,492
 571  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
 572  A*02:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 573  A*02:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 574  A*23:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 575  A*24:02-B*51:01-C*15:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 576  A*33:03-B*27:02-C*02:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 577  A*01:01-B*15:32-C*12:03-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 578  A*01:01-B*35:01-C*03:03-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 579  A*01:01-B*58:01-C*06:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 580  A*03:01-B*18:01-C*04:01-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 581  A*03:01-B*40:06-C*07:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 582  A*03:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.02084,204
 583  A*11:01-B*35:03-C*07:02-DRB1*07:01-DQB1*06:09  India East UCBB 0.02082,403
 584  A*11:01-B*37:01-C*06:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 585  A*24:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 586  A*24:17-B*38:02-C*07:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 587  A*26:01-B*35:03-C*04:01-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 588  A*32:01-B*53:01-C*04:01-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 589  A*68:01-B*55:01-C*01:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 590  A*24:02-B*37:01-C*06:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02072,492
 591  A*03:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.02055,849
 592  A*68:01-B*15:18-C*07:04-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02042,492
 593  A*01:01-B*37:01-C*06:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.02032,403
 594  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09-DPB1*03:01  Germany DKMS - German donors 0.02023,456,066
 595  DRB1*13:02-DQB1*06:09  China Hubei Han 0.02023,732
 596  A*01:01-B*07:05-C*15:05-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02012,492
 597  A*02:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:09  India Tamil Nadu 0.02012,492
 598  A*03:224-B*58:01-C*07:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02012,492
 599  A*11:01-B*52:01-C*12:02-DRB1*13:01-DQB1*06:09  India Tamil Nadu 0.02012,492
 600  A*24:02-B*40:01-C*03:04-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.02012,492

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 963) 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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional