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 2,385) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*68:01:01-B*44:03:02-C*07:02:01-DRB1*07:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 702  A*68:01:02-B*38:02:01-C*07:02:01-DRB1*14:04:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 703  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.139923,595
 704  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.13931,510
 705  A*02:03:01-B*40:01:02-C*07:02:01-DRB1*15:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.13865,266
 706  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*13:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.1377221
 707  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.13751,510
 708  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.1357221
 709  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.13481,510
 710  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.13421,734
 711  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.13405,266
 712  A*01:01:01-B*39:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.1331519
 713  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.13271,734
 714  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.13251,510
 715  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*13:01-DQB1*05:02  Costa Rica Central Valley Mestizo (G) 0.1312221
 716  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.131028,927
 717  A*02:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.130428,927
 718  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.129823,595
 719  A*02:07:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.12875,266
 720  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*12:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.12815,266
 721  A*03:01:01-B*51:02-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.127428,927
 722  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.124623,595
 723  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.12425,266
 724  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.123623,595
 725  A*26:01:01-B*40:01:02-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.12351,734
 726  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.12141,734
 727  A*68:01:01-B*08:01:01-C*07:02:01-DRB1*04:05-DQB1*03:02:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.120028,927
 728  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.119523,595
 729  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*12:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11945,266
 730  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.119228,927
 731  A*29:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*13:01:01  Saudi Arabia pop 6 (G) 0.117928,927
 732  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.11721,734
 733  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.115728,927
 734  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.11531,734
 735  A*02:06:01-B*39:01:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.11531,734
 736  A*11:01:01-B*40:02:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.11531,734
 737  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*04:05:01-DQB1*03:02:01  China Zhejiang Han 0.11531,734
 738  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.11531,734
 739  A*02:01:01-B*40:01:02-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.11451,734
 740  A*02:01:01-B*39:08-C*07:02:01-DRB1*08:02:01  Costa Rica Amerindians (G) 0.1116125
 741  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*13:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1115221
 742  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.11095,266
 743  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.11001,510
 744  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.109328,927
 745  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.10845,266
 746  A*68:01:01-B*08:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.106928,927
 747  A*02:01:01-B*40:01:02-C*07:02:01-DRB1*08:09:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.10655,266
 748  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.10651,734
 749  A*29:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.105028,927
 750  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.10415,266
 751  A*02:01:01-B*39:06:02-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.1024519
 752  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.101523,595
 753  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.10111,510
 754  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.09991,510
 755  A*32:01:01-B*07:02:01-C*07:02:01:03-DRB1*04:07:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 756  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09761,510
 757  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*08:03:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.09695,266
 758  A*01:01:01-B*08:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 759  A*03:01:01-B*39:06:02-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 760  A*03:01:01-B*57:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 761  A*11:01:01-B*35:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 762  A*26:01:01-B*08:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 763  A*30:04:01-B*39:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 764  A*32:01:01-B*39:06:02-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 765  A*66:01:01-B*39:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 766  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.095823,595
 767  A*03:01:01-B*39:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0946519
 768  A*68:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.094528,927
 769  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0932221
 770  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.09145,266
 771  A*32:01:01-B*39:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0912519
 772  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.090828,927
 773  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09065,266
 774  A*32:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.090528,927
 775  A*31:01:02:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.08991,510
 776  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.08965,266
 777  A*25:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.08941,510
 778  A*11:02:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.08811,734
 779  A*02:03:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.08651,734
 780  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.08651,734
 781  A*11:01:01-B*39:05:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.08651,734
 782  A*11:02:01-B*39:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.08651,734
 783  A*11:02:01-B*40:01:02-C*07:02:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.08651,734
 784  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.08651,734
 785  A*33:03:01-B*51:01:01-C*07:02:01-DRB1*04:03:01-DQB1*03:05:01  China Zhejiang Han 0.08651,734
 786  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.08521,734
 787  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.08435,266
 788  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.08435,266
 789  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.084123,595
 790  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0832221
 791  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.08225,266
 792  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*08:03:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.08185,266
 793  A*31:01:02-B*40:01:02-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.08081,734
 794  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*08:03:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.08045,266
 795  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.080323,595
 796  A*02:01:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.08001,734
 797  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.079923,595
 798  A*11:02:01-B*38:02:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.07911,734
 799  A*01:01:01-B*07:05:01-C*07:02:01-DRB1*11:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0783221
 800  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.07835,266

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 2,385) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  


   

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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