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 4,257) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 43  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*24-B*45-DRB1*10-DQB1*05  Ecuador Andes Mixed Ancestry 0.3034824
 502  A*68:01-B*39:01-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.3030330
 503  A*01:01-B*15:03-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.3000159
 504  A*01:01-B*37:01-C*06:02-DRB1*10:01  Italy pop 5 0.3000975
 505  A*01-B*37-DRB1*10  Brazil South Ribeirao Preto 0.3000184
 506  A*02:01-B*27:05-C*02:02-DRB1*10:01  Italy pop 5 0.3000975
 507  A*02:01-B*40:01-C*02:10-DRB1*10:01-DQA1*02:01-DQB1*05:08-DPB1*01:01  South Africa Worcester 0.3000159
 508  A*02-B*53-DRB1*10  Brazil South Ribeirao Preto 0.3000184
 509  A*03:01-B*07:02-C*07:02-DRB1*10:01  Italy pop 5 0.3000975
 510  A*23-B*35-DRB1*10  Brazil South Ribeirao Preto 0.3000184
 511  A*24:07-B*52:01-C*12:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.3000159
 512  A*24-B*37-DRB1*10  Brazil South Ribeirao Preto 0.3000184
 513  A*24-B*51-DRB1*10  Brazil South Ribeirao Preto 0.3000184
 514  A*26-B*38-DRB1*10  Brazil South Ribeirao Preto 0.3000184
 515  A*29:02-B*15:03-C*04:01-DRB1*10:01-DQA1*05:01-DQB1*05:01-DPB1*18:01  South Africa Worcester 0.3000159
 516  A*29-B*07-DRB1*10  Brazil South Ribeirao Preto 0.3000184
 517  A*33-B*14-DRB1*10  Brazil South Ribeirao Preto 0.3000184
 518  A*68-B*27-DRB1*10  Brazil South Ribeirao Preto 0.3000184
 519  A*24-B*45-DRB1*10-DQB1*05  Mexico Puebla Rural 0.2998833
 520  A*01-B*53-DRB1*10-DQB1*05  Mexico Jalisco, Zapopan 0.2976168
 521  A*02-B*37-DRB1*10-DQB1*05  Mexico Jalisco, Zapopan 0.2976168
 522  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.29404,856
 523  A*25-B*35-DRB1*10-DQB1*05  Mexico Veracruz, Veracruz city 0.2907171
 524  A*68-B*49-DRB1*10-DQB1*05  Mexico Veracruz, Veracruz city 0.2907171
 525  A*68:02-B*49:01-DRB1*10:01  Israel Ethiopia Jews 0.28805,928
 526  A*01:01:01-B*37:04:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 527  A*02:11:01-B*40:06:01-C*15:02:01-DRB1*10:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 528  A*29:01:01-B*07:02:01-C*15:05:01-DRB1*10:01:01-DQB1*05:02:04  India Karnataka Kannada Speaking 0.2870174
 529  A*29:01:01-B*35:01:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 530  A*29:01:01-B*51:06:01-C*14:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 531  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 532  A*68:01:02-B*52:01:01-C*14:02:01-DRB1*10:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 533  A*01-B*41-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.2865348
 534  A*74-B*15:03-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.2865348
 535  A*29:02-B*07:05-DRB1*10:01  Israel Tunisia Jews 0.28409,070
 536  DRB1*10:01:01-DQB1*05:01-DPB1*05:01:01  China Inner Mongolia Autonomous Region Northeast 0.2840496
 537  A*01:01-B*35:08-DRB1*10:01  Israel Poland Jews 0.283013,871
 538  DRB1*10:01:01-DPB1*05:01:01  China Inner Mongolia Autonomous Region Northeast 0.2830496
 539  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 540  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 541  A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 542  A*01-B*41-DRB1*10  Iran pop 4 0.2801855
 543  A*33:03-B*58:01-C*03:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.2801714
 544  A*68-B*49-DRB1*10-DQB1*05  Mexico Veracruz Rural 0.2773539
 545  A*26-B*38-DRB1*10-DQB1*05  Mexico Tlaxcala, Tlaxcala city 0.2762181
 546  A*31-B*49-DRB1*10-DQB1*05  Mexico Tlaxcala, Tlaxcala city 0.2762181
 547  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2760356
 548  A*26:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  USA NMDP Caribean Indian 0.273914,339
 549  A*01-B*45-DRB1*10-DQB1*05  Mexico Sinaloa Rural 0.2732183
 550  A*02-B*44-DRB1*10-DQB1*02  Mexico Sinaloa Rural 0.2732183
 551  A*02-B*44-DRB1*10-DQB1*05  Mexico Sinaloa Rural 0.2732183
 552  A*02-B*45-DRB1*10-DQB1*05  Mexico Sinaloa Rural 0.2732183
 553  A*03-B*44-DRB1*10-DQB1*05  Mexico Sinaloa Rural 0.2732183
 554  A*11-B*35-DRB1*10-DQB1*05  Mexico Sinaloa Rural 0.2732183
 555  A*29:01-B*07:05-C*15:05-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.27112,492
 556  A*02-B*45-DRB1*10:01  Colombia Barranquilla 0.2700188
 557  A*26-B*50-DRB1*10:01  Colombia Barranquilla 0.2700188
 558  A*30-B*13-DRB1*10:01  Colombia Barranquilla 0.2700188
 559  A*30-B*50-DRB1*10:11  Colombia Barranquilla 0.2700188
 560  A*68-B*35-DRB1*10:01  Colombia Barranquilla 0.2700188
 561  A*01:01:01-B*40:06:04-C*15:02:01-DRB1*10:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.2688186
 562  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:04:01  India Andhra Pradesh Telugu Speaking 0.2688186
 563  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 564  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 565  A*01:01:01-B*57:01:01-C*12:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 566  A*02:03:01-B*40:06:01-C*03:02:02-DRB1*10:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 567  A*02:11:01-B*40:06:04-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 568  A*02:11:01-B*52:01:01-C*07:02:01-DRB1*10:01:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 569  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 570  A*11:01:01-B*37:01:01-C*03:04:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 571  A*11:01:01-B*44:03:02-C*07:06-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 572  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 573  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 574  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 575  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*10:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 576  A*31:01:02-B*55:01:01-C*01:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 577  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 578  A*33:03:01-B*15:18:01-C*07:04:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 579  A*29:01-B*07:05-DRB1*10:01  Israel Georgia Jews 0.26804,471
 580  A*24-B*45-DRB1*10-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 581  A*26-B*08-DRB1*10-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 582  A*31-B*44-DRB1*10-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 583  A*32-B*45-DRB1*10-DQB1*05  Mexico Veracruz, Xalapa 0.2674187
 584  A*02:01-B*58:01-DRB1*10:01  Israel YemenJews 0.266015,542
 585  A*01:01-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.2629951
 586  A*29:01-B*07:05-C*15:04-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Malay 0.2629951
 587  A*26:01-B*35:08-DRB1*10:01  Israel Iraq Jews 0.261013,270
 588  A*29:01-B*07:05-DRB1*10:01  Israel Poland Jews 0.261013,871
 589  A*01:01:01:01-B*49:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 590  A*33:03:01-B*13:02:01-C*03:02:02-DRB1*10:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 591  A*68:24-B*13:02:01-C*07:04:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 592  B*35:01-DRB1*10:01  Italy pop 5 0.2600975
 593  B*37:01-DRB1*10:01  Italy pop 5 0.2600975
 594  A*02:02-B*38:02-C*15:04-DRB1*10:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 595  A*11:01-B*46:01-C*01:02-DRB1*10:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 596  A*02-B*15:03-DRB1*10-DQB1*05  Mexico Yucatan, Merida 0.2564192
 597  A*24-B*45-DRB1*10-DQB1*05  Mexico Yucatan, Merida 0.2564192
 598  A*01-B*45-DRB1*10-DQB1*05  Mexico Jalisco Rural 0.2560585
 599  A*24-B*45-DRB1*10-DQB1*05  Ecuador Mixed Ancestry 0.25581,173
 600  A*01-B*57-DRB1*10-DQB1*05  Mexico Sonora Rural 0.2538197

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 4,257) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 43  


   

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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