Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 501 to 600 (from 4,588) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 46  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 501  A*30-B*81-DRB1*09  Brazil South Ribeirao Preto 0.5000184
 502  A*68:02-B*45:01-C*07:02-DRB1*09:01-DQA1*03:01-DQB1*03:01-DPB1*129:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 503  A*74:03-B*44:03-C*07:02-DRB1*09:01-DQA1*01:02-DQB1*02:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 504  A*02:01:01-B*40:01:02-C*04:03:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 505  A*02:01:01-B*54:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 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*51:01:01-C*07:02:01-DRB1*09:01:02-DQB1*05:03:01  Vietnam Kinh 0.4950101
 508  A*02:06:01-B*52:01:01-C*12:02:02-DRB1*09:01:02-DQB1*05:01:01  Vietnam Kinh 0.4950101
 509  A*11:04-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 510  A*24:02:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 511  A*24:07:01-B*15:02:01-C*06:02:01-DRB1*09:01:02-DQB1*03:05:02  Vietnam Kinh 0.4950101
 512  A*24:07:01-B*15:02:01-C*08:01:01-DRB1*09:01:02-DQB1*05:01:12  Vietnam Kinh 0.4950101
 513  A*26:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 514  A*29:01:01-B*55:02:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 515  A*33:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 0.4950101
 516  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 517  A*74:02:01-B*15:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:02:01  Vietnam Kinh 0.4950101
 518  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*09:01:02  Costa Rica African -Caribbean (G) 0.4902102
 519  A*30:02:01-B*08:01:01-C*04:01:01-DRB1*09:01:02  Costa Rica African -Caribbean (G) 0.4902102
 520  A*74:01-B*57:03:01-C*07:02:01-DRB1*09:01:02  Costa Rica African -Caribbean (G) 0.4902102
 521  A*02:01-B*15:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4900105
 522  A*02-B*39-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.4854824
 523  A*02-B*51-DRB1*09-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.4854824
 524  A*29-B*45-DRB1*09-DQB1*02  Mexico Sinaloa, Culiacán 0.4854103
 525  A*02:01-B*40:02-C*03:03-DRB1*09:01  Russia Bering Island Aleuts 0.4808104
 526  A*68:01-B*15:01-C*07:02-DRB1*09:01  Russia Bering Island Aleuts 0.4808104
 527  A*24:02-B*39:03-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4800105
 528  A*24:02-B*39:04-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4800105
 529  A*24:02-B*39:14-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4800105
 530  A*31:01:02-B*35:21-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4800105
 531  A*31:01-B*40:02-DRB1*09:01-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 532  A*68:01:02-B*15:04-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4800105
 533  A*02:06-B*55:02-DRB1*09:01  New Zealand Maori with Admixed History 0.4762105
 534  A*02:12-B*55:02-DRB1*09:01  New Zealand Maori with Admixed History 0.4762105
 535  A*11:01-B*55:02-DRB1*09:01  New Zealand Maori with Admixed History 0.4762105
 536  A*24:02-B*39:06-DRB1*09:01  New Zealand Maori with Admixed History 0.4762105
 537  A*24:02-B*56:02-DRB1*09:01  New Zealand Maori with Admixed History 0.4762105
 538  A*68:01-B*44:02-DRB1*09:01  New Zealand Maori with Admixed History 0.4762105
 539  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
 540  A*24:02-B*40:06-C*08:01-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.470077,584
 541  A*02:01-B*55:02-C*08:01-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.468011,499
 542  A*02:06-B*40:06-C*08:01-DRB1*09:01  Japan pop 16 0.464018,604
 543  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.463977,584
 544  A*02-B*35-DRB1*09-DQB1*03:03  Mexico Chihuahua, Ciudad Juarez 0.4630106
 545  A*02:01-B*40:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.46193,892
 546  A*02:01-B*51:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4600105
 547  A*24:02-B*40:06-C*08:01-DRB1*09:01  Germany DKMS - China minority 0.46001,282
 548  A*02:11:01-B*14:01:01-C*08:02:01-DRB1*09:01:02  Costa Rica Guanacaste Mestizo (G) 0.4545110
 549  A*36:01-B*15:03:01-C*17:01:01-DRB1*09:01:02  Costa Rica Guanacaste Mestizo (G) 0.4545110
 550  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.44545,266
 551  A*02:07-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.443311,499
 552  A*02-B*46-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 553  A*02-B*48-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 554  A*02-B*51-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 555  A*03-B*27-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 556  A*11-B*13-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 557  A*24-B*27-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 558  A*29:02-B*45-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 559  A*02:01-B*15:01-C*15:02-E*01:03:01-F*01:01:01-G*01:04-DRB1*09:01:02-DQA1*03:02-DQB1*03:03  Portugal Azores Terceira Island 0.4386130
 560  A*02:01-B*51:01-C*14:02-E*01:03:02-F*01:01:02-G*01:01-DRB1*09:01:02-DQA1*03:02-DQB1*03:03  Portugal Azores Terceira Island 0.4386130
 561  A*02:01-B*51:01-C*15:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*09:01:02-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 562  A*02:02-B*49:01-C*02:02-E*01:03:01-F*01:01:02-G*01:03-DRB1*09:01:02-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 563  A*23:01-B*35:03-C*04:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*09:01:02-DQA1*03:03-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 564  A*24:02-B*18:01-C*07:01-E*01:01:01-F*01:01:01-G*01:04-DRB1*09:01:02-DQA1*03:02-DQB1*03:03:02  Portugal Azores Terceira Island 0.4386130
 565  A*11:01-B*51:01-C*14:02-DRB1*09:01  Germany DKMS - China minority 0.43101,282
 566  A*24:02-B*15:21-C*04:03-DRB1*09:01-DQB1*03:03  USA NMDP Hawaiian or other Pacific Islander 0.429611,499
 567  DRB1*09:01:02-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.4290496
 568  A*02-B*39-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 0.42631,173
 569  DRB1*09:01:02-DQB1*03:03-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.4240496
 570  A*02:01-B*35:01-C*04:01-DRB1*09:01-DQB1*03:03  USA NMDP Alaska Native or Aleut 0.42081,376
 571  A*02-B*48-DRB1*09-DQB1*03:03  Ecuador Coast Mixed Ancestry 0.4202238
 572  A*02-B*51-DRB1*09-DQB1*03:03  Ecuador Coast Mixed Ancestry 0.4202238
 573  A*03:01:01-B*39:01:01-C*07:02:01-DRB1*09:01:02-DQA1*03:02:01-DQB1*03:03:02-DPA1*02:02:02-DPB1*05:01:01  Russian Federation Vologda Region 0.4202119
 574  A*24-B*40:02-DRB1*09-DQB1*03:03  Ecuador Coast Mixed Ancestry 0.4202238
 575  A*24-B*40:05-DRB1*09-DQB1*03:03  Mexico Chihuahua Chihuahua City 0.4202119
 576  A*24-B*51-DRB1*09-DQB1*03:03  Ecuador Coast Mixed Ancestry 0.4202238
 577  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQA1*03:02:01-DQB1*03:03:02-DPA1*02:01:04-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 578  A*29-B*45-DRB1*09-DQB1*02  Mexico Chihuahua Chihuahua City 0.4202119
 579  DRB1*09:01-DQB1*03:02  Georgia Caucasus Tbilisi 0.4202119
 580  A*02-B*48-DRB1*09-DQB1*03:03  Mexico Chihuahua Rural 0.4184236
 581  A*80-B*44-DRB1*09-DQB1*02  Mexico Chihuahua Rural 0.4184236
 582  DRB1*09:01-DQB1*03:03  USA Hispanic pop 2 0.41701,999
 583  A*02:01:01-B*48:01:01-C*08:03:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 584  A*02:06:01-B*40:02:01-C*03:04:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 585  A*02:06:01-B*40:02:01-C*03:04:01-DRB1*09:01-DQB1*03:03:02:02  Russia Bashkortostan, Bashkirs 0.4167120
 586  A*02:06:01-B*40:06:01:01-C*05:01:01:02-DRB1*09:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 587  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 588  A*11:01:01-B*18:01:01-C*04:01:01:05-DRB1*09:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 589  A*24:02:01-B*40:02:01-C*03:04:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 590  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*09:01-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 591  A*68:01:02:01-B*15:01:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Bashkirs 0.4167120
 592  A*68:01:02:01-B*54:01:01-C*01:02:01-DRB1*09:01:02-DQB1*05:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 593  A*68-B*53-DRB1*09-DQB1*03:03  Mexico Oaxaca Rural 0.4107485
 594  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.40741,734
 595  A*11:01-B*51:01-C*07:01-DRB1*09:01-DQA1*03:03-DQB1*06:03  Kosovo 0.4030124
 596  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.40235,266
 597  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
 598  A*02:01-B*48:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.4000105
 599  A*11-B*46-DRB1*09:01  USA NMDP Asian and Pacific Islander 0.4000359,423
 600  A*11-B*51-DRB1*09  China Shaanxi Province Han 0.400010,000

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 4,588) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 46  


   

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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