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 2,790) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*11:01-B*35:05-C*04:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:01  South Africa Worcester 0.3000159
 502  A*23:01-B*53:01-C*06:02-DRB1*12:02-DQA1*03:03-DQB1*06:02-DPB1*18:01  South Africa Worcester 0.3000159
 503  A*24:02-B*18:01-C*07:04-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:01  South Africa Worcester 0.3000159
 504  A*24:07-B*35:05-C*07:02-DRB1*12:02-DQA1*01:02-DQB1*06:02-DPB1*02:02  South Africa Worcester 0.3000159
 505  A*30:01-B*58:02-C*06:02-DRB1*12:02-DQA1*06:01-DQB1*06:03-DPB1*01:01  South Africa Worcester 0.3000159
 506  A*68:27-B*07:05-C*07:02-DRB1*12:02-DQA1*05:05-DQB1*03:01-DPB1*105:01  South Africa Worcester 0.3000159
 507  A*11:01-B*55:02-DRB1*12:02  Hong Kong Chinese cord blood registry 0.29443,892
 508  A*11:01-B*40:01-C*07:02-DRB1*12:02  Hong Kong Chinese BMDR 0.29257,595
 509  DRB1*12:02-DQB1*05:02  USA Asian pop 2 0.29101,772
 510  DRB1*12:02:01-DPB1*41:01:01  China Inner Mongolia Autonomous Region Northeast 0.2880496
 511  A*02:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 512  A*02:06:01-B*55:01:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 513  A*23:01:01-B*13:01:01-C*04:03:01-DRB1*12:02:01-DQB1*02:03  India Karnataka Kannada Speaking 0.2870174
 514  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*12:02:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 515  A*33:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 516  A*24:07-B*35:05-C*04:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.2801714
 517  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.2801714
 518  A*11:01-B*40:01-C*07:02-DRB1*12:02  Germany DKMS - China minority 0.27301,282
 519  A*11:02-B*15:02-C*08:01-DRB1*12:02  Hong Kong Chinese BMDR 0.27297,595
 520  A*24:02-B*15:02-C*08:01-DRB1*12:02  Germany DKMS - China minority 0.27201,282
 521  A*11:01-B*13:01-C*03:04-DRB1*12:02  Germany DKMS - China minority 0.27001,282
 522  A*24-B*44-DRB1*12:02  Colombia Barranquilla 0.2700188
 523  A*11:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.26901,772
 524  A*02:11:01-B*40:01:02-C*12:03:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 525  A*02:11:01-B*48:04:01-C*06:02:01-DRB1*12:02:01-DQB1*06:04:01  India Andhra Pradesh Telugu Speaking 0.2688186
 526  A*02:11:01-B*51:01:01-C*16:02:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 527  A*03:01:01-B*08:01:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 528  A*11:01:01-B*51:06:01-C*15:02:01-DRB1*12:02:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 529  A*11:01:01-B*52:01:01-C*07:01:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 530  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 531  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.26701,772
 532  DRB1*12:02:01-DQB1*03:01-DPB1*41:01:01  China Inner Mongolia Autonomous Region Northeast 0.2640496
 533  A*24:07-B*07:05-C*07:02-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.2629951
 534  A*02:07-B*46:01-C*01:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*05:01  USA San Diego 0.2600496
 535  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*21:01  USA San Diego 0.2600496
 536  A*11:01-B*40:02-C*01:02-DRB1*12:02-DQA1*06:01-DQB1*05:03-DPB1*05:01  USA San Diego 0.2600496
 537  A*24:02-B*46:01-C*01:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*13:01  USA San Diego 0.2600496
 538  A*24:07-B*35:05-C*04:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 539  A*26:01-B*13:01-C*03:04-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*02:01  USA San Diego 0.2600496
 540  A*33:03-B*38:02-C*03:02-DRB1*12:02-DQA1*06:01-DQB1*02:01-DPB1*05:01  USA San Diego 0.2600496
 541  A*11:01-B*38:02-DRB1*12:02  Hong Kong Chinese cord blood registry 0.25803,892
 542  A*02:01-B*40:01-C*03:04-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 543  A*02:01-B*40:06-C*15:02-DRB1*12:02-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 544  A*02:02-B*55:02-C*12:03-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 545  A*02:03-B*55:02-C*04:03-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 546  A*02:06-B*15:25-C*03:04-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 547  A*02:06-B*39:01-C*07:02-DRB1*12:02-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 548  A*02:06-B*40:04-C*08:01-DRB1*12:02-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 549  A*11:01-B*13:01-C*03:04-DRB1*12:02-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 550  A*11:01-B*13:01-C*07:02-DRB1*12:02-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 551  A*11:01-B*27:04-C*03:02-DRB1*12:02-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 552  A*11:01-B*39:01-C*07:02-DRB1*12:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 553  A*11:01-B*55:02-C*04:16-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 554  A*11:02-B*27:04-C*12:02-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 555  A*24:02-B*40:49-C*04:03-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 556  A*24:02-B*51:02-C*01:02-DRB1*12:02-DQB1*04:01  Malaysia Peninsular Chinese 0.2577194
 557  A*24:07-B*35:05-C*03:04-DRB1*12:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 558  A*33:01-B*58:01-C*03:02-DRB1*12:02-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 559  A*02:03-B*15:02-DRB1*12:02  Hong Kong Chinese cord blood registry 0.25723,892
 560  A*02:01-B*13:01-C*03:04-DRB1*12:02  Hong Kong Chinese BMDR 0.25617,595
 561  DRB1*12:02:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 0.2550496
 562  A*02:03-B*15:02-C*08:01-DRB1*12:02  Hong Kong Chinese BMDR 0.25417,595
 563  A*24:02:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.25321,734
 564  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Filipino 0.252550,614
 565  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.25245,266
 566  A*02:01-B*40:01-DRB1*12:02  Hong Kong Chinese cord blood registry 0.24973,892
 567  A*11:01-B*18:01-C*07:04-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.2492951
 568  A*68:01-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.2492296
 569  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.2485185,391
 570  A*24:02-B*40:01-DRB1*12:02  Hong Kong Chinese cord blood registry 0.24613,892
 571  A*11:01-B*27:06-C*03:04-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.2457951
 572  A*24:02-B*15:13-C*08:01-DRB1*12:02-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.245311,499
 573  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Chinese 0.239299,672
 574  A*11:02-B*15:02-DRB1*12:02  Hong Kong Chinese cord blood registry 0.23753,892
 575  A*02:01-B*18:01-C*07:04-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.2366951
 576  A*11:01-B*38:02-C*07:02-DRB1*12:02  Hong Kong Chinese BMDR 0.23607,595
 577  A*02:06:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.23435,266
 578  A*11:02-B*27:04-C*12:02-DRB1*12:02  Germany DKMS - China minority 0.23401,282
 579  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.2333185,391
 580  DRB1*12:02:01-DQB1*03:01-DPB1*04:01:01  China Inner Mongolia Autonomous Region Northeast 0.2310496
 581  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 582  A*02:07-B*46:01-C*01:02-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Chinese 0.225899,672
 583  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.22315,266
 584  DRB1*12:02-DQB1*03:01  USA African American pop 4 0.21702,411
 585  A*24:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India East UCBB 0.21392,403
 586  A*11:01-B*13:01-C*03:04-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.21301,772
 587  A*11:01-B*55:02-C*01:02-DRB1*12:02  Hong Kong Chinese BMDR 0.21167,595
 588  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.2042833
 589  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Korean 0.203577,584
 590  A*34:01-B*15:21-C*04:03-DRB1*12:02-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.201711,499
 591  A*02:01-B*13:01-C*03:04-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.20003,078
 592  A*02-B*40-DRB1*12:02  USA NMDP Asian and Pacific Islander 0.2000359,423
 593  A*02-B*46-DRB1*12:02  USA NMDP Asian and Pacific Islander 0.2000359,423
 594  A*11-B*13-DRB1*12:02  USA NMDP Asian and Pacific Islander 0.2000359,423
 595  A*11-B*27-DRB1*12:02  USA NMDP Asian and Pacific Islander 0.2000359,423
 596  A*11-B*40-DRB1*12:02  USA NMDP Asian and Pacific Islander 0.2000359,423
 597  A*24-B*13-DRB1*12:02  USA NMDP Asian and Pacific Islander 0.2000359,423
 598  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.19991,734
 599  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*05:01  China Zhejiang Han pop 2 0.1998833
 600  A*24:02-B*51:06-C*12:04-DRB1*12:02-DQB1*03:01  India South UCBB 0.199011,446

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 2,790) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  


   

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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