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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 501 to 600 (from 1,471) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*02:01-B*35:03-C*04:25-DRB1*08:02-DQB1*04:02  Malaysia Peninsular Indian 0.1845271
 502  A*03:34-B*51:01-C*16:02-DRB1*08:02-DQB1*04:02  Malaysia Peninsular Indian 0.1845271
 503  A*24:02-B*40:01-C*07:02-DRB1*08:02-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 504  A*02:06-B*40:02-C*03:04-DRB1*08:02-DQB1*03:02  USA Asian pop 2 0.17801,772
 505  A*02:17-B*15:40-C*03:03-DRB1*08:02-DQB1*04:02  USA NMDP Caribean Indian 0.176814,339
 506  A*02:06-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  USA NMDP Alaska Native or Aleut 0.17251,376
 507  A*11:01-B*35:01-C*03:04-DRB1*08:02-DQB1*04:02  India Northeast UCBB 0.1689296
 508  A*11:03-B*48:04-C*08:01-DRB1*08:02-DQB1*04:02  India Northeast UCBB 0.1689296
 509  A*68:01-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.16601,463
 510  A*02:06-B*39:01-C*07:02-DRB1*08:02  Japan pop 16 0.162018,604
 511  A*24:02-B*35:01-C*03:03-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 512  B*35:03-DRB1*08:02  Italy pop 5 0.1600975
 513  DRB1*08:02-DQB1*04:02  Italy pop 5 0.1600975
 514  DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1584833
 515  A*68:01-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.15691,463
 516  A*02-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.1560641
 517  A*24:02-B*35:01-C*03:03-DRB1*08:02  Japan pop 16 0.156018,604
 518  A*26:01-B*35:01-C*03:03-DRB1*08:02  Japan pop 16 0.156018,604
 519  A*31-B*39-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Paraná Caucasian 0.1560641
 520  A*31:08-B*35:08-DRB1*08:02  Israel Argentina Jews 0.15204,307
 521  A*01:01-B*14:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 522  A*02:01-B*14:02-DRB1*08:02-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 523  A*02:01-B*15:01-DRB1*08:02-DQB1*03:03  Mexico Mexico City Tlalpan 0.1515330
 524  A*02:01-B*44:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 525  A*02:01-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 526  A*02:01-B*51:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 527  A*02:01-B*52:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 528  A*02:02-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 529  A*03:01-B*07:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 530  A*23:01-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 531  A*24:02-B*35:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 532  A*24:02-B*40:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 533  A*24:02-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 534  A*24:02-B*52:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 535  A*26:01-B*40:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 536  A*29:01-B*40:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 537  A*31:01-B*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 538  A*31:01-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 539  A*31:01-B*40:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 540  A*32:01-B*14:02-DRB1*08:02-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 541  A*68:01-B*15:05-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 542  A*68:01-B*35:01-DRB1*08:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 543  A*68:01-B*35:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 544  A*68:01-B*40:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 545  A*68:01-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 546  A*68:03-B*48:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 547  A*68:05-B*39:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 548  A*02:06-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.151018,604
 549  DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.1503833
 550  A*24:02-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.14871,463
 551  A*02:13-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.14651,463
 552  DRB1*08:02:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 0.1450496
 553  A*24:02-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14401,999
 554  A*24:02-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.141018,604
 555  A*31:01-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.141018,604
 556  DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.1409833
 557  A*02:01-B*35:03-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 558  A*02:01-B*35:03-C*04:01-DRB1*08:02-DQB1*04:02  Italy pop 5 0.1400975
 559  A*02:06-B*51:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 560  A*02:11:01-B*40:01:02-C*03:04:01-DRB1*08:02:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 561  A*24:02:01-B*07:05:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 562  A*24:02-B*35:02-C*15:02-DRB1*08:02-DQB1*04:02  Italy pop 5 0.1400975
 563  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 564  A*24:02-B*40:02-C*03:06-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 565  A*31:01:02-B*35:03:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 566  A*31:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 567  A*68:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.14001,999
 568  DRB1*08:02-DQB1*03:01  USA Hispanic pop 2 0.14001,999
 569  A*02:01-B*51:10-C*15:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.13671,463
 570  A*68:01-B*35:01-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.13671,463
 571  A*02:01-B*39:01-DRB1*08:02  Israel Argentina Jews 0.13604,307
 572  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.13501,772
 573  A*02:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.13501,463
 574  A*11:01-B*40:02-DRB1*08:02  Israel Argentina Jews 0.13104,307
 575  A*02:06-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.13003,078
 576  A*24:14-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.12501,463
 577  A*24:02-B*51:01-C*14:02-DRB1*08:02  Japan pop 16 0.125018,604
 578  A*68-B*35-DRB1*08:02  Chile Santiago 0.1202920
 579  A*02:01-B*40:02-C*03:04-DRB1*08:02  Japan pop 16 0.120018,604
 580  A*02:01:01-B*39:08-C*07:02:01-DRB1*08:02:01  Costa Rica Amerindians (G) 0.1116125
 581  A*03:02-B*07:02-DRB1*08:02  Israel Argentina Jews 0.11004,307
 582  A*24-B*51-DRB1*08:02  Chile Santiago 0.1087920
 583  A*02:01-B*39:05-C*07:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10781,463
 584  A*02:01-B*35:20-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 585  A*24:02-B*35:31-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 586  A*68:01-B*35:31-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10251,463
 587  A*02:01-B*40:02-C*04:01-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.10221,463
 588  DRB1*08:02:01-DQB1*03:02-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 589  DRB1*08:02:01-DQB1*03:02-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 590  DRB1*08:02:01-DQB1*04:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 591  A*02:01-B*35:03-C*04:01-DRB1*08:02  Italy pop 5 0.1000975
 592  A*02-B*52-DRB1*08:02  USA NMDP Hispanic 0.1000449,844
 593  A*03:01-B*51:01-C*15:02-DRB1*08:02  Italy pop 5 0.1000975
 594  A*24:02-B*48:01-C*12:03-DRB1*08:02  Italy pop 5 0.1000975
 595  A*24:02-B*58:01-C*07:18-DRB1*08:02  Italy pop 5 0.1000975
 596  A*24-B*15-DRB1*08:02  USA NMDP Hispanic 0.1000449,844
 597  A*25:01-B*15:39-C*04:01-DRB1*08:02  Italy pop 5 0.1000975
 598  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 599  A*31-B*15-DRB1*08:02  USA NMDP Hispanic 0.1000449,844
 600  A*31-B*51-DRB1*08:02  USA NMDP Asian and Pacific Islander 0.1000359,423

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 1,471) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  


   

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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