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 401 to 500 (from 2,342) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*02:06:01-B*54:01:01-C*01:02:01-DRB1*04:05:01-DQB1*02:01:01  China Zhejiang Han 0.02881,734
 402  A*02:06:01-B*54:01:01-C*01:02:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 403  A*02:06:01-B*54:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 404  A*02:06:01-B*54:01:01-C*08:01:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 405  A*02:06:01-B*54:01:01-C*08:01:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00585,266
 406  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
 407  A*02:06:01-B*55:01:01-C*03:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 408  A*02:06:01-B*55:01:01-C*03:03:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 409  A*02:06:01-B*55:02:01-C*01:02:01-DRB1*04:05:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00875,266
 410  A*02:06:01-B*55:02:01-C*01:02:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01105,266
 411  A*02:06:01-B*55:02:01-C*01:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 412  A*02:06:01-B*55:02:01-C*01:02:01-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00905,266
 413  A*02:06:01-B*55:02:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 414  A*02:06:01-B*55:02:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.08651,734
 415  A*02:06:01-B*55:02:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 416  A*02:06:01-B*55:02:01-C*03:03:01-DRB1*08:03:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 417  A*02:06:01-B*55:02:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 418  A*02:06:01-B*56:01:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 419  A*02:06:01-B*56:01:01-C*01:02:01-DRB1*15:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00665,266
 420  A*02:06:01-B*56:01:01-C*07:02:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00695,266
 421  A*02:06:01-B*56:01:01-C*07:02:01-DRB1*04:05:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00885,266
 422  A*02:06:01-B*56:01:01-C*07:02:01-DRB1*04:06:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04755,266
 423  A*02:06:01-B*56:01:01-C*07:02:01-DRB1*15:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00685,266
 424  A*02:06:01-B*56:04:01-C*01:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00705,266
 425  A*02:06:01-B*57:01:01-C*06:02:01  South African Indian population 1.000050
 426  A*02:06:01-B*57:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 427  A*02:06:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03295,266
 428  A*02:06:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 429  A*02:06:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01895,266
 430  A*02:06:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 431  A*02:06:01-B*58:01:01-C*03:02:02-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 432  A*02:06:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*09:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 433  A*02:06:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 434  A*02:06:01-B*58:01:01-C*08:22-DRB1*03:01:01:02-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 435  A*02:06:01-B*58:02-C*12:02:02-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 436  A*02:06:01-B*67:01:01-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 437  A*02:06:01-B*67:01:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 438  A*02:06:01-C*07:02:01  China Jingpo Minority 1.4560105
 439  A*02:06:01-C*07:02:01-DRB1*15:02:01  China Jingpo Minority 0.5150105
 440  A*02:06:01-C*08:01:01  China Jingpo Minority 0.4850105
 441  A*02:06:01-C*12:02:01  China Jingpo Minority 0.4850105
 442  A*02:06:01-C*12:02:01-DRB1*12:02:01  China Jingpo Minority 0.5150105
 443  A*02:06:01-C*15:02:01-DRB1*15:02:01  China Jingpo Minority 1.5460105
 444  A*02:06-B*07:02-C*07:01-DRB1*04:05-DQB1*06:11  Malaysia Peninsular Malay 0.0526951
 445  A*02:06-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - China minority 0.03901,282
 446  A*02:06-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.07301,374
 447  A*02:06-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 0.250018,604
 448  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 449  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.10003,078
 450  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 451  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 452  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 453  A*02:06-B*07:02-C*07:02-DRB1*04:01-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 454  A*02:06-B*07:02-C*07:02-DRB1*04:03  Hong Kong Chinese BMDR 0.00597,595
 455  A*02:06-B*07:02-C*07:02-DRB1*04:05  Japan pop 16 0.005018,604
 456  A*02:06-B*07:02-C*07:02-DRB1*04:06  Japan pop 16 0.005018,604
 457  A*02:06-B*07:02-C*07:02-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 458  A*02:06-B*07:02-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.4329339
 459  A*02:06-B*07:02-C*07:02-DRB1*07:01  Germany DKMS - Croatia minority 0.04902,057
 460  A*02:06-B*07:02-C*07:02-DRB1*07:01  Poland DKMS 0.004920,653
 461  A*02:06-B*07:02-C*07:02-DRB1*08:02  Japan pop 16 0.010018,604
 462  A*02:06-B*07:02-C*07:02-DRB1*08:03  Japan pop 16 0.005018,604
 463  A*02:06-B*07:02-C*07:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 464  A*02:06-B*07:02-C*07:02-DRB1*09:01  Japan pop 16 0.005018,604
 465  A*02:06-B*07:02-C*07:02-DRB1*11:01  Japan pop 16 0.005018,604
 466  A*02:06-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 467  A*02:06-B*07:02-C*07:02-DRB1*11:01-DQB1*05:02  USA Hispanic pop 2 0.04701,999
 468  A*02:06-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 469  A*02:06-B*07:02-C*07:02-DRB1*12:02-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 470  A*02:06-B*07:02-C*07:02-DRB1*14:02-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 471  A*02:06-B*07:02-C*07:02-DRB1*14:05  Japan pop 16 0.005018,604
 472  A*02:06-B*07:02-C*07:02-DRB1*14:54-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 473  A*02:06-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Croatia minority 0.02402,057
 474  A*02:06-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.05901,698
 475  A*02:06-B*07:02-C*07:02-DRB1*15:01  Japan pop 16 0.010018,604
 476  A*02:06-B*07:02-C*07:02-DRB1*15:01  Poland DKMS 0.017620,653
 477  A*02:06-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.03102,492
 478  A*02:06-B*07:02-DRB1*04:03  Hong Kong Chinese cord blood registry 0.00693,892
 479  A*02:06-B*07:02-DRB1*07:01  Israel Argentina Jews 0.01164,307
 480  A*02:06-B*07:02-DRB1*15:01  Israel USSR Jews 0.002245,681
 481  A*02:06-B*07:02-DRB1*15:01  Israel Poland Jews 0.003313,871
 482  A*02:06-B*07:05  USA Asian pop 2 0.05701,772
 483  A*02:06-B*07:05-C*07:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.01101,772
 484  A*02:06-B*07:05-C*07:02-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.01101,772
 485  A*02:06-B*07:05-C*15:05-DRB1*10:01  Hong Kong Chinese BMDR 0.01057,595
 486  A*02:06-B*07:05-C*15:05-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 487  A*02:06-B*07:05-C*15:05-DRB1*15:31-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 488  A*02:06-B*07:05-C*15:05-DRB1*16:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 489  A*02:06-B*07:05-DRB1*10:01  Hong Kong Chinese cord blood registry 0.02793,892
 490  A*02:06-B*07:05-DRB1*10:01  Israel USSR Jews 0.001145,681
 491  A*02:06-B*08:01  USA Asian pop 2 0.02901,772
 492  A*02:06-B*08:01-C*02:02-DRB1*07:01-DQB1*02:02  India UCBB_Central Indian HLA 0.01194,204
 493  A*02:06-B*08:01-C*04:03-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.1845271
 494  A*02:06-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.01523,456,066
 495  A*02:06-B*08:01-C*07:01-DRB1*11:04  Poland DKMS 0.002420,653
 496  A*02:06-B*08:01-C*07:02-DRB1*03:01  Poland DKMS 0.002420,653
 497  A*02:06-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.14774,204
 498  A*02:06-B*08:01-C*07:02-DRB1*07:01-DQB1*03:03  India UCBB_Central Indian HLA 0.01194,204
 499  A*02:06-B*08:01-C*07:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02012,492
 500  A*02:06-B*08:01-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01204,856

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 401 to 500 (from 2,342) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  


   

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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