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 501 to 600 (from 3,341) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 34  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*11:01:01-B*51:01:01-C*12:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 502  A*11:01:01-B*52:01:01-C*12:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 503  A*11:01:01-B*52:01:01-C*12:02:01-DRB1*04:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 504  A*11:01:01-B*52:01:01-C*12:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 505  A*11:01:01-B*52:01:01-C*12:02:01-DRB1*15:02:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 506  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 507  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*14:15-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 508  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 509  A*11:01:01-B*58:01:01-C*12:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 510  A*24:02:01-B*07:02:01-C*12:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 511  A*24:02:01-B*07:02:01-C*12:02:02-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 512  A*24:02:01-B*40:06:01-C*12:02:02-DRB1*12:02:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 513  A*24:02:01-B*40:06:01-C*12:02:02-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 514  A*24:02:01-B*40:06:01-C*12:02:02-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 515  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*09:01:02-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 516  A*24:02-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 517  A*24:07:01-B*35:01:01-C*12:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 518  A*24:07:01-B*52:01:01-C*12:02:01-DRB1*04:04:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 519  A*24:07:01-B*52:01:01-C*12:02:02-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 520  A*26:01-B*50:01-C*12:02-DRB1*04:04-DQB1*03:02  Italy pop 5 0.1400975
 521  A*31:01:02-B*49:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:04:01  India Kerala Malayalam speaking 0.1400356
 522  A*31:01:02-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 523  A*32:01:01-B*13:01:01-C*12:02:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 524  A*32:01:01-B*40:06:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 525  A*32:01:01-B*51:01:01-C*12:02:02-DRB1*15:01:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 526  A*32:01-B*44:02-C*12:02-DRB1*11:04-DQB1*05:03  Italy pop 5 0.1400975
 527  A*33:01-B*52:01-C*12:02-DRB1*04:05-DQB1*06:01  Italy pop 5 0.1400975
 528  A*33:03:01-B*52:01:01-C*12:02:01-DRB1*07:01:01-DQB1*03:02:08  India Kerala Malayalam speaking 0.1400356
 529  A*33:03:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 530  A*33:03:01-B*58:01:01-C*12:02:01-DRB1*15:01:01-DQB1*06:05:02  India Kerala Malayalam speaking 0.1400356
 531  A*68:01:02-B*52:01:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 532  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP American Indian South or Central America 0.13975,926
 533  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India East UCBB 0.13822,403
 534  A*02:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.13724,204
 535  A*02:11-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.13722,403
 536  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.13655,849
 537  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP European Caucasian 0.13571,242,890
 538  A*11:01-B*52:04-C*12:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.13524,204
 539  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.13301,772
 540  A*11:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.13295,829
 541  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.13115,849
 542  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 543  A*02:06-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 544  A*24:02-B*52:01-C*12:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.13003,078
 545  A*24:02-B*52:01-C*12:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.13003,078
 546  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 547  A*01:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.12944,204
 548  A*68:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.12942,403
 549  A*03:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.12935,849
 550  A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.12882,403
 551  A*24:02-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.12862,403
 552  A*24:02-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.12852,492
 553  A*03:01-B*52:01-C*12:02-DRB1*07:01  Germany DKMS - Portugal minority 0.12801,176
 554  A*11:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Portugal minority 0.12801,176
 555  A*11:02-B*27:04-C*12:02-DRB1*04:05  Hong Kong Chinese BMDR 0.12777,595
 556  A*02:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.12745,829
 557  A*01:01:01-B*52:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.126528,927
 558  A*11:01-B*27:04-C*12:02-DRB1*12:02  Germany DKMS - China minority 0.12601,282
 559  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.125111,446
 560  A*68:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.12325,849
 561  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP North American Amerindian 0.121835,791
 562  A*24:02-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.12085,829
 563  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.12001,159
 564  A*26:01-C*12:02  Italy pop 5 0.1200975
 565  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.11944,204
 566  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.11925,849
 567  A*24:07-B*52:01-C*12:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.11874,204
 568  A*31:01:02-B*52:01:01-C*12:02:02  England Blood Donors of Mixed Ethnicity 0.1185519
 569  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*02:01  Russia Karelia 0.11841,075
 570  A*11:01-B*52:01-C*12:02-DRB1*10:01  Germany DKMS - China minority 0.11701,282
 571  A*11:02-B*27:04-C*12:02-DRB1*11:01  Germany DKMS - China minority 0.11701,282
 572  A*32:01-B*52:01-C*12:02-DRB1*12:01  Germany DKMS - China minority 0.11701,282
 573  A*33:03-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.11545,829
 574  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.11531,734
 575  A*11:01:01-B*27:04:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.11531,734
 576  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.11504,856
 577  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Caribean Hispanic 0.1142115,374
 578  A*11:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.11375,829
 579  A*02:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.113611,446
 580  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.11341,734
 581  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.11252,403
 582  A*01:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.11172,403
 583  A*01:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.11105,849
 584  A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.11092,492
 585  A*11:01-B*52:04-C*12:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.11045,849
 586  B*50:01-C*12:02  Italy pop 5 0.1100975
 587  B*51:01-C*12:02  Italy pop 5 0.1100975
 588  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.10975,829
 589  A*02:01-B*52:01-C*12:02-DRB1*15:02  Poland DKMS 0.109620,653
 590  A*68:01-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.10835,829
 591  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.10822,492
 592  A*02:01-B*27:04-C*12:02-DRB1*12:02  Germany DKMS - China minority 0.10801,282
 593  A*02:11-B*52:01-C*12:02-DRB1*15:19  Germany DKMS - Romania minority 0.10801,234
 594  A*02:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - France minority 0.10701,406
 595  A*03:01-B*27:04-C*12:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.10694,204
 596  A*02:01-B*52:01-C*12:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.106811,446
 597  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.10585,849
 598  A*11:01-B*18:02-C*12:02-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.1052951
 599  A*24:07-B*52:01-C*12:02-DRB1*12:02-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 600  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.10501,772

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 3,341) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 34  


   

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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