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 601 to 700 (from 3,404) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 35  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*01:01-B*58:01-C*03:02-DRB1*03:01  Germany DKMS - Portugal minority 0.17001,176
 602  A*33:03-B*58:01-C*03:02-DRB1*13:02  Germany DKMS - Croatia minority 0.17002,057
 603  A*01:01-B*58:01-C*12:03-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.1689296
 604  A*02:20-B*58:01-C*03:02-DRB1*03:01-DQB1*05:03  India Northeast UCBB 0.1689296
 605  A*24:02-B*58:01-C*03:02-DRB1*04:06-DQB1*06:09  India Northeast UCBB 0.1689296
 606  A*24:02-B*58:01-C*03:02-DRB1*14:04-DQB1*06:01  India Northeast UCBB 0.1689296
 607  A*26:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Northeast UCBB 0.1689296
 608  A*33:03-B*58:01-C*03:02-DRB1*14:54-DQB1*05:02  India Northeast UCBB 0.1689296
 609  A*24:02-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.16654,204
 610  A*33:03-B*58:01-C*03:02-DRB1*08:03  Hong Kong Chinese BMDR 0.16567,595
 611  A*01:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.16422,492
 612  A*33:03-B*58:01-C*03:02-DRB1*03:01  Germany DKMS - Romania minority 0.16201,234
 613  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.16055,266
 614  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*03:01  Japan pop 17 0.16003,078
 615  A*01:01-B*58:01-C*03:02-DRB1*15:03-DQB1*06:02-DPB1*04:02  Tanzania Maasai 0.1597336
 616  A*01:01-B*58:01-C*03:33-DRB1*15:03-DQB1*06:02-DPB1*02:01  Tanzania Maasai 0.1597336
 617  A*01:01-B*58:01-C*06:02-DRB1*15:03-DQB1*06:02-DPB1*55:01  Tanzania Maasai 0.1597336
 618  A*02:05-B*58:01-C*06:04-DRB1*08:04-DQB1*06:04-DPB1*17:01  Tanzania Maasai 0.1597336
 619  A*03:01-B*58:01-C*07:136-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.1597336
 620  A*29:02-B*58:01-C*07:06-DRB1*11:02-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.1597336
 621  A*30:01-B*58:01-C*03:02-DRB1*15:03-DQB1*06:02-DPB1*133:01  Tanzania Maasai 0.1597336
 622  A*36:01-B*58:01-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*04:01  Tanzania Maasai 0.1597336
 623  A*68:02-B*58:01-C*03:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 0.1597336
 624  A*68:02-B*58:01-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*02:01  Tanzania Maasai 0.1597336
 625  A*68:02-B*58:01-C*07:01-DRB1*07:01-DQB1*02:02-DPB1*105:01  Tanzania Maasai 0.1597336
 626  A*68:02-B*58:01-C*15:05-DRB1*13:02-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 627  A*80:01-B*58:01-C*04:01-DRB1*04:05-DQB1*03:02-DPB1*463:01  Tanzania Maasai 0.1597336
 628  A*30:02-B*58:01-DRB1*07:01  Israel USA Jews 0.15906,058
 629  A*33:03-B*58:01-C*03:02-DRB1*15:01  Germany DKMS - China minority 0.15901,282
 630  A*01:01-B*58:01  USA African American pop 4 0.15802,411
 631  A*02:01-B*58:01-C*07:01-DRB1*16:01  Germany DKMS - Greece minority 0.15801,894
 632  A*02:02-B*58:01  USA African American pop 4 0.15802,411
 633  A*26:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.1577951
 634  A*30:01-B*58:01  USA African American pop 4 0.15602,411
 635  A*33:01-B*58:01-DRB1*16:01  Israel Georgia Jews 0.15604,471
 636  A*01:01-B*58:01-DRB1*04:03  Israel Arab pop 2 0.153012,301
 637  A*80:01-B*58:01-DRB1*14:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 638  A*02:06-B*58:01  USA Asian pop 2 0.15001,772
 639  A*33:01-B*58:01-DRB1*13:02  Israel YemenJews 0.150015,542
 640  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  USA NMDP Black South or Central American 0.14984,889
 641  A*11:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.14975,849
 642  A*01:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.14902,403
 643  A*32:01-B*58:01-DRB1*03:01  Israel YemenJews 0.149015,542
 644  A*03:02-B*58:01-DRB1*03:01  Israel Libya Jews 0.14703,739
 645  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 0.146614,339
 646  A*33:03-B*58:01-C*03:02-DRB1*12:02  Hong Kong Chinese BMDR 0.14657,595
 647  A*33:03-B*58:01-C*03:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.14645,829
 648  A*29:02-B*58:01-C*07:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.14404,856
 649  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14395,266
 650  A*02:05-B*58:01-DRB1*13:02  Israel Ashkenazi Jews pop 3 0.14304,625
 651  A*33:03-B*58:01-C*03:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.14065,849
 652  A*11:01-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  Sri Lanka Colombo 0.1401714
 653  A*24:02-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*09:01  Sri Lanka Colombo 0.1401714
 654  A*24:02-B*58:01-C*03:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 655  A*33:03-B*58:01-C*03:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*26:01  Sri Lanka Colombo 0.1401714
 656  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*09:01  Sri Lanka Colombo 0.1401714
 657  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 658  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.1401714
 659  A*01:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 660  A*01:01-B*58:01-C*05:01-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 661  A*01:01-B*58:01-C*07:18-DRB1*11:01-DQB1*06:04  Italy pop 5 0.1400975
 662  A*02:01-B*58:01-C*06:02-DRB1*15:02-DQB1*06:01  Italy pop 5 0.1400975
 663  A*02:01-B*58:01-C*12:03-DRB1*15:01-DQB1*02:01  Italy pop 5 0.1400975
 664  A*02:03:01-B*58:01:01-C*03:03:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 665  A*02:05-B*58:01-C*07:18-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 666  A*02:05-B*58:01-C*07:18-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 667  A*02:07-B*58:01  USA Asian pop 2 0.14001,772
 668  A*03:01:01-B*58:01:01-C*12:02:01-DRB1*13:02:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 669  A*03:01-B*58:01-C*03:02-DRB1*13:04-DQB1*03:01  USA Hispanic pop 2 0.14001,999
 670  A*11:01:01-B*58:01:01-C*12:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 671  A*23:01-B*58:01-C*07:18-DRB1*13:02-DQB1*04:02  Italy pop 5 0.1400975
 672  A*24:02:01-B*58:01:01-C*03:04:01-DRB1*13:02:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 673  A*24:02:01-B*58:01:01-C*04:01:01-DRB1*10:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 674  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 675  A*26:01-B*58:01-C*07:18-DRB1*13:02-DQB1*06:04  Italy pop 5 0.1400975
 676  A*30:02:01-B*58:01:01-C*03:146-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 677  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 678  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*07:01:01-DQB1*06:05:02  India Kerala Malayalam speaking 0.1400356
 679  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 680  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 681  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 682  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*15:06:01-DQB1*05:35  India Kerala Malayalam speaking 0.1400356
 683  A*33:03:01-B*58:01:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 684  A*33:03:01-B*58:01:01-C*12:02:01-DRB1*15:01:01-DQB1*06:05:02  India Kerala Malayalam speaking 0.1400356
 685  A*33:03:01-B*58:01:01-C*14:02:01-DRB1*12:02:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 686  A*33:03-B*58:01-C*03:02-DRB1*16:01-DQB1*05:02  Italy pop 5 0.1400975
 687  A*66:02-B*58:01-C*07:01-DRB1*15:03-DQB1*06:02  USA Hispanic pop 2 0.14001,999
 688  A*68:01:02-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 689  B*58:01-C*05:01  Italy pop 5 0.1400975
 690  A*02:02-B*58:01-DRB1*03:01  Israel Ethiopia Jews 0.13805,928
 691  A*33:01-B*58:01-DRB1*13:02  Israel Arab pop 2 0.138012,301
 692  A*33:03-B*58:01-C*03:02-DRB1*03:01  Germany DKMS - Croatia minority 0.13802,057
 693  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.13755,266
 694  A*01:01-B*58:01-C*07:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 695  A*01:01-B*58:01-C*07:01-DRB1*08:04-DQB1*04:02  Colombia Bogotá Cord Blood 0.13671,463
 696  A*66:02-B*58:01-C*07:01-DRB1*15:03-DQB1*06:02  Colombia Bogotá Cord Blood 0.13671,463
 697  A*01:01-B*58:01-C*16:01-DRB1*07:01  Germany DKMS - Spain minority 0.13601,107
 698  A*68:02-B*58:01-DRB1*03:01  Israel Arab pop 2 0.136012,301
 699  A*33:03-B*58:01-DRB1*08:03  Hong Kong Chinese cord blood registry 0.13573,892
 700  A*02:01-B*58:01-C*07:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.13401,999

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 601 to 700 (from 3,404) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 35  


   

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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