Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 701 to 800 (from 11,924) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 120  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*68:01:02-B*39:01:01-C*12:03:01-DRB1*04:05:01-DQB1*03:02:02  Poland BMR 0.002123,595
 702  A*68:01:02-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001923,595
 703  A*68:01:02-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.002223,595
 704  A*68:01:02-B*39:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003723,595
 705  A*68:01:02-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.012423,595
 706  A*68:01:02-B*39:01-DRB1*04:07-DQB1*03:02  Peru Titikaka Lake Uros 0.4800105
 707  A*68:01:02-B*39:02:02-C*03:04:01-DRB1*08:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 708  A*68:01:02-B*39:05:01-C*07:02:01-DRB1*04:04:01  Nicaragua Mestizo (G) 0.3226155
 709  A*68:01:02-B*39:05:01-C*07:02:01-DRB1*08:01  Nicaragua Mestizo (G) 0.3226155
 710  A*68:01:02-B*39:05:01-C*07:02:01-DRB1*14:02-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 711  A*68:01:02-B*39:05-DRB1*14:02-DQB1*03:01  Peru Titikaka Lake Uros 0.4800105
 712  A*68:01:02-B*39:06:02-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004223,595
 713  A*68:01:02-B*39:06:02-C*07:02:01-DRB1*11:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 714  A*68:01:02-B*39:06:02-C*12:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 715  A*68:01:02-B*39:08-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.4525221
 716  A*68:01:02-B*40:01:01-C*07:02:01-DRB1*04:04:01  Costa Rica Amerindians (G) 0.4131125
 717  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.002023,595
 718  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.035123,595
 719  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.006023,595
 720  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.134923,595
 721  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.021123,595
 722  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.000877123,595
 723  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*04:01:01-DQB1*06:03:01  Poland BMR 0.002023,595
 724  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*04:02:01-DQB1*03:01:01  Poland BMR 0.002123,595
 725  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.001823,595
 726  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002423,595
 727  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.003223,595
 728  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*05:01:01  Poland BMR 0.002123,595
 729  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.000812923,595
 730  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.008623,595
 731  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002623,595
 732  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002723,595
 733  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 734  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 735  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.000825123,595
 736  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.5376186
 737  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006723,595
 738  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*03:03:02  Poland BMR 0.002123,595
 739  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.028523,595
 740  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002223,595
 741  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002423,595
 742  A*68:01:02-B*40:01:02-C*03:19-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 743  A*68:01:02-B*40:01:02-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00565,266
 744  A*68:01:02-B*40:01:02-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 745  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002423,595
 746  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002023,595
 747  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004023,595
 748  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQA1*03:02-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 749  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.034423,595
 750  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 751  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002223,595
 752  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.003223,595
 753  A*68:01:02-B*40:02:01-C*03:04:01-DRB1*01:02:01  Nicaragua Mestizo (G) 0.3226155
 754  A*68:01:02-B*40:02:01-C*03:04:01-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.9091110
 755  A*68:01:02-B*40:02:01-C*03:04:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 756  A*68:01:02-B*40:02:01-C*03:04:01-DRB1*14:12:01-DQB1*06:03:01  Poland BMR 0.002123,595
 757  A*68:01:02-B*40:02:01-C*03:04:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 758  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:03:01  Nicaragua Mestizo (G) 1.5852155
 759  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:03:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.9050221
 760  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.4545110
 761  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:07  Costa Rica Amerindians (G) 6.7860125
 762  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:07  Nicaragua Mestizo (G) 0.6728155
 763  A*68:01:02-B*40:02:01-C*03:05-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 1.3575221
 764  A*68:01:02-B*40:02:01-C*03:05-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 765  A*68:01:02-B*40:02:01-C*03:05-DRB1*09:01:02  Nicaragua Mestizo (G) 0.3226155
 766  A*68:01:02-B*40:02:01-C*03:05-DRB1*11:02:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 767  A*68:01:02-B*40:02:01-C*03:05-DRB1*14:02  Costa Rica Amerindians (G) 2.2620125
 768  A*68:01:02-B*40:02:01-C*03:05-DRB1*14:06:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 769  A*68:01:02-B*40:02:01-C*03:05-DRB1*16:02:01  Costa Rica Amerindians (G) 0.4524125
 770  A*68:01:02-B*40:02:01-C*03:05-DRB1*16:02:01  Nicaragua Mestizo (G) 0.3226155
 771  A*68:01:02-B*40:02-DRB1*08:01-DQB1*04:02  Peru Titikaka Lake Uros 0.4800105
 772  A*68:01:02-B*40:03-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.4800105
 773  A*68:01:02-B*40:04:01-C*02:02:02-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 774  A*68:01:02-B*40:04:01-C*03:04:01-DRB1*09:01:02-DQB1*05:01:01-DPA1*01:03:01-DPB1*01:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 775  A*68:01:02-B*40:06:01-C*01:02:01-DRB1*15:02:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 776  A*68:01:02-B*40:06:01-C*02:02:02-DRB1*14:04:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 777  A*68:01:02-B*40:06:01-C*03:02:02-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 778  A*68:01:02-B*40:06:01-C*03:04:01-DRB1*07:01:01-DQB1*04:02:01  India Karnataka Kannada Speaking 0.2870174
 779  A*68:01:02-B*40:06:01-C*07:01:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 780  A*68:01:02-B*40:06:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 781  A*68:01:02-B*40:06:01-C*07:04:01  South African Indian population 1.000050
 782  A*68:01:02-B*40:06:01-C*08:01:01-DRB1*15:02:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 783  A*68:01:02-B*40:06:01-C*12:02:01-DRB1*11:01:01-DQB1*06:09:01  India Karnataka Kannada Speaking 0.2870174
 784  A*68:01:02-B*40:06:01-C*15:02:01  China Jingpo Minority 0.9900105
 785  A*68:01:02-B*40:06:01-C*15:02:01  England Blood Donors of Mixed Ethnicity 0.1927519
 786  A*68:01:02-B*40:06:01-C*15:02:01-DRB1*07:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 787  A*68:01:02-B*40:06:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 788  A*68:01:02-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.0840356
 789  A*68:01:02-B*40:06:01-C*15:07-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.5376186
 790  A*68:01:02-B*40:06:01-DRB1*15:01:01  China Jingpo Minority 1.0420105
 791  A*68:01:02-B*40:20-C*03:05-DRB1*08:02:01  Costa Rica Amerindians (G) 0.4032125
 792  A*68:01:02-B*40:26-C*07:02:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 793  A*68:01:02-B*41:01:01-C*04:01:01-DRB1*11:02:01-DQB1*02:01:01  Poland BMR 0.002123,595
 794  A*68:01:02-B*41:01:01-C*04:01:01-DRB1*11:02:01-DQB1*03:19:01  Poland BMR 0.002123,595
 795  A*68:01:02-B*41:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 796  A*68:01:02-B*41:01:01-C*17:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 797  A*68:01:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004323,595
 798  A*68:01:02-B*44:02:01-C*03:04:01-DRB1*13:01-DQA1*05:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 799  A*68:01:02-B*44:02:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002523,595
 800  A*68:01:02-B*44:02:01-C*05:01:01  England Blood Donors of Mixed Ethnicity 0.2644519

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 11,924) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 120  


   

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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