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 701 to 800 (from 4,764) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 48  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP American Indian South or Central America 0.21385,926
 702  A*01:01-B*37:01-C*06:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.21244,204
 703  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.21201,159
 704  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.21204,856
 705  DRB1*08:03:02-DQB1*06:01-DPB1*04:02:01  China Inner Mongolia Autonomous Region Northeast 0.2120496
 706  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Russia Karelia 0.21171,075
 707  A*34:01-B*56:04-C*01:02-DRB1*08:03-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.210911,499
 708  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.2101714
 709  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*14:01  Sri Lanka Colombo 0.2101714
 710  A*11:01-B*13:01-C*04:03-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 711  A*24:02-B*18:01-C*07:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 712  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.2101714
 713  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.208311,446
 714  A*02:11-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.20584,204
 715  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.20504,335
 716  A*24:02-B*15:06-C*04:03-DRB1*15:02-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.205011,499
 717  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.20484,204
 718  A*11:01-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.20422,492
 719  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.20352,403
 720  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:02  China Zhejiang Han pop 2 0.2035833
 721  A*11:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.202111,446
 722  DQB1*06:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 723  DRB1*15:02:01-DQB1*06:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 724  DRB1*15:02:02-DQB1*06:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 725  A*01:01-B*35:03-C*04:01-DRB1*15:02-DQB1*06:01  India East UCBB 0.20172,403
 726  A*34:01-B*15:21-C*04:03-DRB1*15:02-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.201711,499
 727  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.200411,446
 728  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Southeast Asian 0.199227,978
 729  A*24:02-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.19825,829
 730  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1970356
 731  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Southeast Asian 0.196127,978
 732  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.1953185,391
 733  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.19535,829
 734  A*02:01:01-B*13:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:01:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 735  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*02:07:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 736  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 737  A*23:17:01-B*52:01:01-C*02:10:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 738  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 739  A*29:02:01-B*44:03:01-C*02:10:01-DRB1*08:04:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 740  A*33:05-B*14:02:01-C*08:02:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 741  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.19371,463
 742  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.19362,492
 743  A*11:01-B*40:01-C*07:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP Filipino 0.191450,614
 744  A*33:03-B*44:03-C*07:06-DRB1*15:02-DQB1*06:01  India Central UCBB 0.19104,204
 745  A*24:02-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.19102,492
 746  A*01:01-B*58:01-C*07:01-DRB1*12:01-DQB1*06:01-DPB1*04:02  Panama 0.1900462
 747  A*23:01-B*50:01-C*04:01-DRB1*15:02-DQB1*06:01-DPB1*17:01  Panama 0.1900462
 748  A*26:01-B*52:01-C*03:05-DRB1*15:02-DQB1*06:01-DPB1*04:02  Panama 0.1900462
 749  A*11:01-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  India South UCBB 0.189011,446
 750  A*24:02-B*46:01-C*01:02-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.18901,772
 751  A*11:01-B*18:01-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.18845,829
 752  A*11:01-B*35:03-C*04:01-DRB1*15:02-DQB1*06:01  India East UCBB 0.18602,403
 753  A*02:11-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.18572,403
 754  A*11:01-B*40:01-C*07:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP Vietnamese 0.185243,540
 755  A*68:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.18502,403
 756  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP European Caucasian 0.18461,242,890
 757  A*01:01-B*07:05-C*07:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 758  A*01:01-B*15:02-C*05:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 759  A*01:01-B*15:08-C*14:02-DRB1*08:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 760  A*01:01-B*35:01-C*07:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 761  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 762  A*01:01-B*40:06-C*07:02-DRB1*13:14-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 763  A*01:01-B*51:01-C*12:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 764  A*01:01-B*51:06-C*14:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 765  A*01:01-B*57:01-C*06:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 766  A*02:01-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 767  A*02:01-B*39:06-C*07:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 768  A*02:01-B*52:01-C*07:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 769  A*02:02-B*51:01-C*07:05-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 770  A*02:06-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 771  A*02:06-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 772  A*02:11-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 773  A*02:11-B*15:02-C*04:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 774  A*02:11-B*15:02-C*15:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 775  A*02:11-B*40:04-C*15:02-DRB1*04:05-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 776  A*02:11-B*40:06-C*12:02-DRB1*14:04-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 777  A*02:11-B*40:22N-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 778  A*02:11-B*56:01-C*04:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 779  A*02:61-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 780  A*02:74-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 781  A*03:01-B*35:03-C*04:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 782  A*03:02-B*40:06-C*01:16-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 783  A*11:01-B*07:05-C*04:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 784  A*11:01-B*07:05-C*08:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 785  A*11:01-B*18:01-C*07:04-DRB1*12:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 786  A*11:01-B*40:01-C*12:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 787  A*11:01-B*40:04-C*04:03-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 788  A*11:01-B*51:01-C*16:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 789  A*11:01-B*51:04-C*14:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 790  A*11:23-B*58:01-C*04:03-DRB1*14:04-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 791  A*11:29-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 792  A*11:33-B*15:02-C*08:01-DRB1*14:04-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 793  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 794  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 795  A*24:02-B*13:01-C*07:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 796  A*24:02-B*35:01-C*07:05-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 797  A*24:02-B*40:06-C*06:02-DRB1*03:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 798  A*24:02-B*48:01-C*08:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 799  A*24:02-B*51:01-C*12:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 800  A*24:02-B*52:01-C*12:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271

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 701 to 800 (from 4,764) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 48  


   

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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