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 15,210) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 153  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 601  A*24:02-B*59:01-DRB1*04:05  South Korea pop 3 1.2000485
 602  A*24:02-C*01:02  Taiwan Ami 1.200098
 603  A*24:02-C*07:02  Taiwan Hakka 1.200055
 604  A*24:02-B*48:01-DRB1*11:01  Taiwan Tzu Chi Morrow Donor Registry Aborigine 1.1990233
 605  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Korean 1.191177,584
 606  A*24:02-B*35:01-DRB1*14:02-DQB1*03:01  Mexico Veracruz Xalapa 1.190584
 607  A*24:02-B*54:01  USA Asian pop 2 1.18701,772
 608  A*24:02:01-B*35:08:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 1.1764170
 609  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Vietnamese 1.175243,540
 610  A*24:02-B*40:02  USA Asian pop 2 1.17501,772
 611  A*24:02-B*15:01-C*03:03-DRB1*11:03-DQB1*03:01  Italy pop 5 1.1600975
 612  A*24:02-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - United Kingdom minority 1.15401,043
 613  A*24:02:01-B*27:07:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 1.1490174
 614  A*24:02:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 1.1490174
 615  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 1.1468218
 616  A*24:02-B*35:43-C*01:02-DRB1*04:07-DQB1*03:02-DPB1*04:02  Panama 1.1400462
 617  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02-DPB1*04:02  Panama 1.1400462
 618  A*24:02:01-B*40:02:01-C*03:05-DRB1*04:07-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 1.1312221
 619  A*24:02:01-B*15:01:01-C*03:03:01  England Blood Donors of Mixed Ethnicity 1.1251519
 620  A*24:02-C*07:02  Italy pop 5 1.1200975
 621  A*24:02:01-B*52:01:01-C*12:02-DRB1*04:03:01  South Africa Caucasians 1.1100102
 622  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 1.1070271
 623  A*24:02-B*40:02-C*15:02-DRB1*04:05-DRB4*01:01-DQB1*05:03  USA NMDP Filipino 1.107050,614
 624  A*24:02:01-B*07:02:01-DRB1*01:03  Portugal North 1.100046
 625  A*24:02:01-B*15:01:01:01-DRB1*13:01:01  Portugal North 1.100046
 626  A*24:02:01-B*41:02-DRB1*13:05  Portugal North 1.100046
 627  A*24:02-B*07:02-C*07:02  USA Asian 1.1000358
 628  A*24:02-B*13:01-DRB1*04:05  New Zealand Maori with Full Ancestry 1.100046
 629  A*24:02-B*15:01  USA Caucasian pop 2 1.1000265
 630  A*24:02-B*15:01  Taiwan Minnan pop 1 1.1000102
 631  A*24:02-B*15:01-C*04:01  South Korea pop 3 1.1000485
 632  A*24:02-B*15:25-C*04:03-DRB1*12:02-DQB1*03:01  Vietnam Hanoi Kinh pop 2 1.1000170
 633  A*24:02-B*18:01  Romania 1.1000348
 634  A*24:02-B*35:01  USA Hispanic 1.1000234
 635  A*24:02-B*35:01-C*04:01  USA Caucasian pop 2 1.1000265
 636  A*24:02-B*39:01-DRB1*12:01  New Zealand Maori with Full Ancestry 1.100046
 637  A*24:02-B*39:01-DRB1*14:01  New Zealand Maori with Full Ancestry 1.100046
 638  A*24:02-B*39:01-DRB1*14:54  New Zealand Maori with Full Ancestry 1.100046
 639  A*24:02-B*40:01-C*07:02  China Guizhou Province Bouyei 1.1000109
 640  A*24:02-B*40:01-DRB1*15:01  Taiwan Tzu Chi Cord Blood Bank 1.1000710
 641  A*24:02-B*40:02  Brazil Belo Horizonte Caucasian 1.100095
 642  A*24:02-B*40:02  USA Hispanic 1.1000234
 643  A*24:02-B*46:01-C*01:02-DRB1*09:01  Taiwan pop 2 1.1000364
 644  A*24:02-B*48:01  USA North American Native 1.1000187
 645  A*24:02-B*51:01  Romania 1.1000348
 646  A*24:02-B*51:01-C*14:02  USA Asian 1.1000358
 647  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03-DPB1*02:01  Japan Central 1.1000371
 648  A*24:02-B*54:01-C*01:02  South Korea pop 3 1.1000485
 649  A*24:02-B*55:02-DRB1*04:03  New Zealand Maori with Full Ancestry 1.100046
 650  A*24:02-B*56:02-DRB1*09:01  New Zealand Maori with Full Ancestry 1.100046
 651  A*24:02-B*56:02-DRB1*11:01  New Zealand Maori with Full Ancestry 1.100046
 652  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQB1*04:01  South Korea pop 3 1.1000485
 653  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQB1*04:01-DPB1*04:02  Japan Central 1.1000371
 654  A*24:02-C*04:03  Taiwan Pazeh 1.100055
 655  A*24:02-C*04:03  Taiwan Ami 1.100098
 656  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 1.0753186
 657  A*24:02-B*35:08-DRB1*04:07  Israel Kavkazi Jews 1.07002,840
 658  A*24:02-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 659  A*24:02-B*15:01-C*01:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 660  A*24:02-B*35:01-C*03:04-DRB1*14:06-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 661  A*24:02-B*35:01-C*04:01-DRB1*04:10-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 662  A*24:02-B*35:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 663  A*24:02-B*35:01-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 664  A*24:02-B*35:12-C*04:01-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 665  A*24:02-B*35:17-C*03:03-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 666  A*24:02-B*35:17-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 667  A*24:02-B*35:17-C*04:01-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 668  A*24:02-B*39:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 669  A*24:02-B*39:02-C*07:02-DRB1*04:11-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 670  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 671  A*24:02-B*39:05-C*07:02-DRB1*14:02-DQA1*05:01-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 672  A*24:02-B*39:06-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 673  A*24:02-B*40:02-C*03:04-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 674  A*24:02-B*40:02-C*03:04-DRB1*04:11-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 675  A*24:02-B*40:02-C*03:04-DRB1*16:02-DQA1*05:05-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 676  A*24:02-B*40:08-C*03:04-DRB1*04:07-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 677  A*24:02-B*40:08-C*03:04-DRB1*04:11-DQA1*03:03-DQB1*04:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 678  A*24:02-B*40:08-C*03:04-DRB1*14:06-DQA1*05:03-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 679  A*24:02-B*52:01-C*03:04-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 680  A*24:02-B*07:08-C*15:02-DRB1*04:07-DQB1*06:02  Colombia North Chimila Amerindians 1.063847
 681  A*24:02-B*08:01-C*07:01-DRB1*03:07-DQB1*02:01  Colombia North Chimila Amerindians 1.063847
 682  A*24:02-B*35:43-C*01:02-DRB1*04:07-DQB1*03:03  Colombia North Chimila Amerindians 1.063847
 683  A*24:02-B*35:43-C*15:02-DRB1*03:02-DQB1*03:01  Colombia North Chimila Amerindians 1.063847
 684  A*24:02-B*48:01-C*08:01-DRB1*14:06-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 685  A*24:02-B*51:10-C*15:02-DRB1*04:17-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 686  A*24:02-B*51:10-C*15:02-DRB1*14:07-DQB1*03:18  Colombia North Chimila Amerindians 1.063847
 687  A*24:02-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 1.06111,463
 688  A*24:02-B*40:01-DRB1*11:04  Israel Tunisia Jews 1.06009,070
 689  A*24:02-B*59:01-C*01:02-DRB1*04:05  Japan pop 16 1.058018,604
 690  A*24:02-B*15:01-C*03:03  Italy pop 5 1.0500975
 691  A*24:02-B*51:01-DRB1*09:01  China Jiangsu Province Han 1.0500334
 692  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo population 1.0490143
 693  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 1.04801,159
 694  A*24:02-B*52:01  USA Asian pop 2 1.04301,772
 695  A*24:02:01-B*15:02-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 696  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 697  A*24:02:01-B*51:01:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 698  A*24:02:01-B*52:01:01-DRB1*14:04  China Jingpo Minority 1.0420105
 699  A*24:02:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 1.0417192
 700  A*24:02-B*52:01-C*15:39-DRB1*08:02  Brazil Vale do Ribeira Quilombos 1.0417144

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 15,210) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 153  


   

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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