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 6,869) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 69  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*02:01-B*51:01-C*15:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.8060124
 502  A*02-B*39-DRB1*16  Brazil Para Cord Blood Unit 0.8060841
 503  A*03:01-B*51:01-C*16:02-DRB1*16:02-DQA1*01:02-DQB1*05:02  Kosovo 0.8060124
 504  A*24:02-B*18:01-C*12:03-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.8060124
 505  A*26:01-B*51:01-C*14:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  Kosovo 0.8060124
 506  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Veracruz, Xalapa 0.8021187
 507  A*02-B*39-DRB1*16  Iraq Erbil 0.8000372
 508  A*03-B*40-DRB1*16  Iraq Erbil 0.8000372
 509  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Nuevo Leon Rural 0.7955439
 510  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Tamaulipas Rural 0.7937125
 511  A*24-B*40:02-DRB1*16-DQB1*03:01  Mexico Tamaulipas Rural 0.7937125
 512  A*68-B*40:05-DRB1*16-DQB1*03:01  Mexico Tamaulipas Rural 0.7937125
 513  A*02:01:01:01-B*44:27:01-C*07:04:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.78601,510
 514  A*11-B*40:02-DRB1*16-DQB1*03:01  Mexico Nayarit Rural 0.781264
 515  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Nayarit Rural 0.781264
 516  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Nayarit Rural 0.781264
 517  A*31-B*40:02-DRB1*16-DQB1*03:01  Mexico Nayarit Rural 0.781264
 518  A*68-B*40:02-DRB1*16-DQB1*03:01  Mexico Nayarit Rural 0.781264
 519  A*68-B*44-DRB1*16-DQB1*05  Mexico Nayarit Rural 0.781264
 520  A*02-B*51-C*03-DRB1*16  Myanmar Mon 0.781064
 521  A*24-B*46-C*01-DRB1*16  Myanmar Mon 0.781064
 522  A*26-B*38-C*07-DRB1*16  Myanmar Mon 0.781064
 523  A*33-B*58-C*07-DRB1*16  Myanmar Mon 0.781064
 524  A*02:02-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.7732194
 525  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.77175,266
 526  A*02:01-B*35:04-DRB1*16:02-DQB1*03:01  Chile Mapuche 0.770066
 527  A*02:01-B*39:06-DRB1*16:02-DQB1*03:01  Chile Mapuche 0.770066
 528  A*68:16-B*39:09-DRB1*16:02-DQB1*03:01  Chile Mapuche 0.770066
 529  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Jalisco Rural 0.7679585
 530  A*02-B*35-DRB1*16-DQB1*03:01  Mexico Durango Rural 0.7645326
 531  A*02:01:01:01-B*27:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.75001,510
 532  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Yucatan Rural 0.7463132
 533  A*68-B*35-DRB1*16-DQB1*03:01  Mexico Yucatan Rural 0.7463132
 534  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Yucatan Rural 0.7463132
 535  A*31:01-B*35:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 536  A*32:01-B*51:01-C*01:02-DRB1*16:01-DQA1*01:02-DQB1*05:02  Mexico Tixcacaltuyub Maya 0.746367
 537  A*68:03-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 538  A*02:01-B*27:02-DRB1*16:01  Croatia pop 4 0.74004,000
 539  DRB1*16:01-DQB1*03:01  Italy pop 5 0.7300975
 540  A*02:01-B*44:02-DRB1*16:01  Croatia pop 4 0.72004,000
 541  A*02-B*51-DRB1*16:01-DQB1*05:02  Bolivia Quechua 0.720069
 542  A*31-B*07-DRB1*16:01-DQB1*05:02  Bolivia Quechua 0.720069
 543  A*24-B*39-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.7194833
 544  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Jalisco, Guadalajara city 0.71191,189
 545  A*02-B*35-DRB1*16-DQB1*03:01  Mexico Tabasco Rural 0.7042142
 546  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Tabasco Rural 0.7042142
 547  A*02-B*18-DRB1*16  Macedonia 0.6993286
 548  A*02-B*39-C*12-DRB1*16  Macedonia 0.6993286
 549  A*02-B*39-DRB1*16  Macedonia 0.6993286
 550  A*02-B*40-DRB1*16  Macedonia 0.6993286
 551  A*02-B*51-DRB1*16  Macedonia 0.6993286
 552  A*30-B*44-DRB1*16-DQB1*03:01  Mexico Sonora, Ciudad Obregón 0.6993143
 553  B*07-DRB1*16  Macedonia 0.6993286
 554  B*35:14-C*04:01-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.6993143
 555  A*29:01-B*07:05-DRB1*16:01  Israel Iraq Jews 0.697013,270
 556  A*03-B*18-C*12-DRB1*16  Macedonia MBMDR - Macedonian 0.69531,283
 557  A*02-B*15-DRB1*16  Brazil Para State 0.69525,000
 558  A*01-B*35-C*04-DRB1*16-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 559  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 560  A*02:01-B*35:05-C*04:01-DRB1*16:02  Brazil Vale do Ribeira Quilombos 0.6944144
 561  A*02-B*15:01-DRB1*16-DQB1*03:01  Mexico Guerrero state 0.6944144
 562  A*02-B*35-C*04-DRB1*16-DQA1*05-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 563  A*02-B*40-C*15-DRB1*16-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 564  A*24:02:01-B*15:08:01-C*01:02:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 565  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Guerrero state 0.6944144
 566  A*33-B*15-C*03-DRB1*16-DQA1*05-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 567  A*68:01:01-B*35:01:01-C*04:01:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 568  A*68:01:01-B*39:01:01-C*07:01:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 569  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Guerrero state 0.6944144
 570  B*15-C*03-DRB1*16-DQA1*05-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 571  B*35-C*04-DRB1*16-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 572  B*40-C*15-DRB1*16-DQA1*01-DQB1*05  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 573  A*31-B*35-DRB1*16  Brazil Para Cord Blood Unit 0.6912841
 574  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Coahuila Rural 0.6881216
 575  A*68:01-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.6881218
 576  A*02-B*51-C*14-DRB1*16  Macedonia MBMDR - Macedonian 0.68601,283
 577  A*02-B*40:02-DRB1*16-DQB1*03:01  Mexico Nuevo Leon Rural 0.6818439
 578  A*24-B*35-C*04-DRB1*16-DQB1*05  Albania pop 2 0.6800432
 579  A*32-B*40-C*02-DRB1*16-DQB1*03  Albania pop 2 0.6800432
 580  A*68-B*18-C*02-DRB1*16-DQB1*05  Albania pop 2 0.6800432
 581  A*11:01-B*13:01-DRB1*16:02  Hong Kong Chinese cord blood registry 0.67453,892
 582  A*01-B*08-DRB1*16-DQB1*05  Iraq Arabs 0.6700149
 583  A*02-B*41-DRB1*16-DQB1*06  Iraq Arabs 0.6700149
 584  A*30-B*49-DRB1*16-DQB1*02  Iraq Arabs 0.6700149
 585  A*02-B*40:02-DRB1*16-DQB1*03:01  Mexico Baja California, La Paz 0.666775
 586  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Baja California, La Paz 0.666775
 587  A*24-B*51-DRB1*16-DQB1*03:01  Mexico Baja California, La Paz 0.666775
 588  A*31:01-B*39:05-C*08:03-DRB1*16:02-DQA1*01:02-DQB1*03:02  Brazil Puyanawa 0.6667150
 589  A*31-B*15:01-DRB1*16-DQB1*03:01  Mexico Baja California, La Paz 0.666775
 590  DRB1*16:02-DQB1*03:01-DMB*01:03  Ecuadorean Amerindians 0.666775
 591  DRB1*16:02-DQB1*05:02-DMB*01:01  Ecuadorean Amerindians 0.666775
 592  A*02-B*39-DRB1*16-DQB1*03:01  Mexico Mexico City North 0.6640751
 593  A*31-B*35-DRB1*16-DQB1*03:01  Mexico Mexico City North 0.6640751
 594  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Nuevo Leon, Monterrey city 0.6637226
 595  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.66271,734
 596  A*02-B*51-DRB1*16-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.6623151
 597  A*24-B*15:05-DRB1*16-DQB1*03:01  Mexico Oaxaca, Oaxaca city 0.6623151
 598  A*24-B*35-DRB1*16-DQB1*03:01  Mexico Michoacan, Morelia 0.6623150
 599  A*24-B*39-DRB1*16-DQB1*05  Mexico Oaxaca, Oaxaca city 0.6623151
 600  A*68-B*39-DRB1*16-DQB1*03:01  Mexico Puebla Rural 0.6595833

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 6,869) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 69  


   

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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