Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 501 to 600 (from 5,718) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 58  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*03:01-B*40:01-C*03:04-DRB1*04:01:01-DQB1*03:02:01  England North West 0.5000298
 502  A*02:01:01-B*40:01:02-C*04:03:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 503  A*02:03:01-B*40:01:01-C*01:02:01  China Jingpo Minority 0.4950105
 504  A*02:03:01-B*40:01:01-C*03:03:01  China Jingpo Minority 0.4950105
 505  A*02:03:01-B*40:01:01-C*07:02:01  China Jingpo Minority 0.4950105
 506  A*02:03:01-B*40:01:02-C*03:17-DRB1*09:01:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 507  A*02:03:01-B*40:01:02-C*04:03:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 508  A*02:06:01-B*40:01:02-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 509  A*03:01:01-B*40:01:01  China Jingpo Minority 0.4950105
 510  A*03:01:01-B*40:01:01-C*07:02:01  China Jingpo Minority 0.4950105
 511  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*14:05:01-DQB1*05:03:01  Vietnam Kinh 0.4950101
 512  A*11:01:01-B*40:01:02-C*03:03:01-DRB1*15:01:01-DQB1*06:01:01  Vietnam Kinh 0.4950101
 513  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 514  A*11:01:01-B*40:01:02-C*07:02:01  China Jingpo Minority 0.4950105
 515  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*11:01:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 516  A*11:02:01-B*40:01:02-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 517  A*11:02:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  Vietnam Kinh 0.4950101
 518  A*24:02:01-B*40:01:01-C*03:03:01  China Jingpo Minority 0.4950105
 519  A*24:02:01-B*40:01:01-C*03:04:01  China Jingpo Minority 0.4950105
 520  A*24:02:01-B*40:01:02-C*03:03:01-DRB1*16:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 521  A*24:02:01-B*40:01:02-C*04:03:01-DRB1*04:03:01-DQB1*03:02:01  Vietnam Kinh 0.4950101
 522  A*31:01-B*40:01-DRB1*04:04  Israel Arab pop 2 0.495012,301
 523  A*33:03:01-B*40:01:01-C*03:03:01  China Jingpo Minority 0.4950105
 524  A*33:03:01-B*40:01:01-C*03:04:01  China Jingpo Minority 0.4950105
 525  A*33:03:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 526  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.49411,510
 527  A*03:01:01-B*40:01:02-C*03:04:01  England Blood Donors of Mixed Ethnicity 0.4913519
 528  A*02:02-B*40:01:01-C*03:04:01-DRB1*13:02:01  Costa Rica African -Caribbean (G) 0.4902102
 529  B*40:01:01-C*01:02:01  China Jingpo Minority 0.4900105
 530  B*40:01:02-C*07:02:01  China Jingpo Minority 0.4900105
 531  A*01-B*40:01-DRB1*15-DQB1*06  Mexico Sinaloa, Culiacán 0.4854103
 532  A*02-B*40:01-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.4854103
 533  A*02:01-B*40:01-C*03:04-DRB1*04:01  Russia Bering Island Aleuts 0.4808104
 534  A*01:01-B*40:01-DRB1*15:01  New Zealand Maori with Admixed History 0.4762105
 535  A*02:01-B*40:01-DRB1*08:01  New Zealand Maori with Admixed History 0.4762105
 536  A*02:06-B*40:01-DRB1*04:03  New Zealand Maori with Admixed History 0.4762105
 537  A*32-B*40:01-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.4762103
 538  A*02:01:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.47111,734
 539  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 540  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 541  A*32:01:01-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 542  A*02:01-B*40:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.46193,892
 543  A*03:01:01-B*40:01:01-C*03:04:01-DRB1*13:03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 544  A*68:01-B*40:01-C*03:04  Italy pop 5 0.4500975
 545  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.449623,595
 546  A*02:01-B*40:01-C*03:04-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.44591,075
 547  A*02:01-B*40:01-C*03:04-DRB1*13:02  Poland DKMS 0.445220,653
 548  A*31:01-B*40:01-DRB1*04:04  Israel Libya Jews 0.44503,739
 549  A*02:01-B*40:01-C*03:04-DRB1*13:02  Germany DKMS - Spain minority 0.44401,107
 550  A*24-B*40:01-DRB1*13-DQB1*06  Mexico Nuevo Leon, Monterrey city 0.4425226
 551  A*68:01-B*40:01-C*12:03-E*01:01:01-F*01:01:02-G*01:01-DRB1*11:03-DQA1*05:01-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 552  A*11:01-B*40:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.43843,892
 553  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.43621,734
 554  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*03:01  Nicaragua Managua 0.4329339
 555  A*11-B*40:01-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.4298348
 556  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.42721,510
 557  A*31:01-B*40:01-C*03:04-DRB1*04:04  Germany DKMS - France minority 0.42601,406
 558  A*02:01:01-B*40:01:02-C*01:02:01-DRB1*01:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 559  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*10:01  Russian Federation Vologda Region 0.4202119
 560  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 561  A*02:01:01-B*40:01:02-C*05:01:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 562  A*02-B*40:01-DRB1*16-DQB1*05  Mexico Chihuahua Chihuahua City 0.4202119
 563  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 564  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*08:01:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 565  A*03:01:01-B*40:01:02-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 566  A*26:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 567  A*26:01:01-B*40:01:02-C*05:01:01-DRB1*03:01-DQA1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 568  A*31-B*40:01-DRB1*15-DQB1*06  Mexico Chihuahua Chihuahua City 0.4202119
 569  A*68:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 570  A*02:01-B*40:01-C*03:04  Italy pop 5 0.4200975
 571  A*11:01-B*40:01-DRB1*12:01  Hong Kong Chinese cord blood registry 0.41983,892
 572  A*02:01-B*40:01-DRB1*11:01  Hong Kong Chinese cord blood registry 0.41963,892
 573  A*11-B*40:01-DRB1*04-DQB1*03:02  Mexico Chihuahua Rural 0.4184236
 574  A*11:01-B*40:01-DRB1*16:02  Israel Tunisia Jews 0.41709,070
 575  A*02:01:01:01-B*40:01:01-C*03:04:01-DRB1*14:54:01-DQB1*05:03  Russia Bashkortostan, Bashkirs 0.4167120
 576  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*13:02:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 577  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 578  A*02:07:01-B*40:01:02-C*03:04:01:01-DRB1*11:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.4167120
 579  A*02-B*40:01-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.4132121
 580  A*68:01:02-B*40:01:01-C*07:02:01-DRB1*04:04:01  Costa Rica Amerindians (G) 0.4131125
 581  B*40:01-C*12:03  USA Asian pop 2 0.41301,772
 582  A*02:01-B*40:01-C*03:04-DRB1*08:01  Germany DKMS - Austria minority 0.41201,698
 583  A*31:01-B*40:01-C*03:04-DRB1*04:04  Germany DKMS - Austria minority 0.41201,698
 584  A*02:01-B*40:01-C*03:04-DRB1*13:02  Germany DKMS - Bosnia and Herzegovina minority 0.41001,028
 585  A*31:01-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  USA NMDP American Indian South or Central America 0.40605,926
 586  A*02:01-B*40:01-C*03:04-DRB1*14:54-DQA1*01:01-DQB1*05:03  Kosovo 0.4030124
 587  A*32:01-B*40:01-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 588  A*68:01-B*40:01-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 589  A*24:02-B*40:01-C*04:01-DRB1*11:01-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.402411,499
 590  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.40215,266
 591  A*24:02-B*40:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.40033,892
 592  A*02:01-B*40:01-C*03:04-DRB1*15:01-DQB1*06:02:01  England North West 0.4000298
 593  A*24:02-B*40:01-DRB1*08:03  Hong Kong Chinese cord blood registry 0.39913,892
 594  A*24:02-B*40:01-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.39401,772
 595  A*02-B*40:01-DRB1*08-DQB1*04  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 596  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 597  A*23:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 598  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.38801,159
 599  A*11:01-B*40:01-DRB1*16:02  Israel Libya Jews 0.38703,739
 600  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.38661,734

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 5,718) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 58  


   

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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