Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Sample Size:      Sample Year:     Loci Tested: 
Displaying 701 to 800 (from 22,141) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 222  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*24:02:01-B*15:07:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 702  A*24:02:01-B*15:07:01-C*03:03:01-DRB1*15:04-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 703  A*24:02:01-B*15:07:01-C*16:02:01-DRB1*04:05:01-DQB1*04:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 704  A*24:02:01-B*15:07-C*12:03:01-DRB1*12:02:01  China Jingpo Minority 0.5210105
 705  A*24:02:01-B*15:08:01-C*01:02:01-DRB1*04:01:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 706  A*24:02:01-B*15:08:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 707  A*24:02:01-B*15:08:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 708  A*24:02:01-B*15:08:01-C*01:02:01-DRB1*16:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 709  A*24:02:01-B*15:09-C*07:04:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 710  A*24:02:01-B*15:10:01-C*03:04:02-DRB1*11:01:02  Costa Rica Amerindians (G) 0.4080125
 711  A*24:02:01-B*15:10:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*55:01:01  South African Black 0.3520142
 712  A*24:02:01-B*15:11:01-C*03:03:01-DRB1*04:05:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 713  A*24:02:01-B*15:11:01-C*03:03:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 714  A*24:02:01-B*15:11:01-C*03:03:01-DRB1*08:02:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 715  A*24:02:01-B*15:11:01-C*03:03:01-DRB1*14:07:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 716  A*24:02:01-B*15:11:01-C*03:03:04-DRB1*15:02:01-DPB1*01:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00555,266
 717  A*24:02:01-B*15:11:01-C*07:02:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 718  A*24:02:01-B*15:12:01-C*03:03:01-DRB1*15:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02835,266
 719  A*24:02:01-B*15:12:01-C*03:03:01-DRB1*15:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00755,266
 720  A*24:02:01-B*15:12:01-C*03:03:01-DRB1*15:02:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 721  A*24:02:01-B*15:12:01-C*03:03:01-DRB1*15:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 722  A*24:02:01-B*15:12:01-C*04:01:01-DRB1*15:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 723  A*24:02:01-B*15:125-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006423,595
 724  A*24:02:01-B*15:13:01-C*08:01:01-DRB1*12:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00885,266
 725  A*24:02:01-B*15:17:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 0.0963519
 726  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.087728,927
 727  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.100828,927
 728  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.305028,927
 729  A*24:02:01-B*15:17:01-C*07:01:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002023,595
 730  A*24:02:01-B*15:17:01-C*07:01:02-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 731  A*24:02:01-B*15:17:01-C*07:01:02-DRB1*13:02:01-DQB1*06:04:01  China Zhejiang Han 0.05771,734
 732  A*24:02:01-B*15:17:01-C*07:01:02-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.000760823,595
 733  A*24:02:01-B*15:17:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02:01  Russia Belgorod region 0.3268153
 734  A*24:02:01-B*15:17:01-C*12:03:01-DRB1*11:01:02-DQB1*06:02:01-DPA1*02:02:02-DPB1*02:01:19  Brazil Rio de Janeiro Caucasian 0.1946521
 735  A*24:02:01-B*15:18:01-C*03:04:01-DRB1*04:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 736  A*24:02:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 737  A*24:02:01-B*15:18:01-C*07:04:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 738  A*24:02:01-B*15:18:01-C*07:04:01-DRB1*11:01:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 739  A*24:02:01-B*15:18:01-C*07:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 740  A*24:02:01-B*15:18:01-C*08:01:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 741  A*24:02:01-B*15:18:01-C*08:01:01-DRB1*04:04:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02505,266
 742  A*24:02:01-B*15:18:01-C*08:01:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01475,266
 743  A*24:02:01-B*15:18:01-C*08:01:01-DRB1*15:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00705,266
 744  A*24:02:01-B*15:18:01-C*08:01:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 745  A*24:02:01-B*15:18:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 746  A*24:02:01-B*15:18:01-C*08:03:01-DRB1*14:05:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 747  A*24:02:01-B*15:18:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 748  A*24:02:01-B*15:24:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 749  A*24:02:01-B*15:25:01-C*04:03:01-DRB1*12:02:01-DPB1*01:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 750  A*24:02:01-B*15:25:01-C*04:03:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02975,266
 751  A*24:02:01-B*15:25:01-C*04:03:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03215,266
 752  A*24:02:01-B*15:25:01-C*04:03:01-DRB1*12:02:01-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02625,266
 753  A*24:02:01-B*15:25:01-C*04:03:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 754  A*24:02:01-B*15:25:01-C*04:03:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02325,266
 755  A*24:02:01-B*15:25:01-C*04:03:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 756  A*24:02:01-B*15:25:01-C*04:03:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00975,266
 757  A*24:02:01-B*15:25:01-C*04:03:01-DRB1*15:02:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 758  A*24:02:01-B*15:25:01-C*07:02:01-DRB1*04:05:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 759  A*24:02:01-B*15:25:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02685,266
 760  A*24:02:01-B*15:25:01-C*07:26:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 761  A*24:02:01-B*15:25:01-C*07:314-DRB1*07:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 762  A*24:02:01-B*15:27:01-C*04:01:01-DRB1*04:04:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 763  A*24:02:01-B*15:27:01-C*04:01:01-DRB1*04:06:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.03385,266
 764  A*24:02:01-B*15:27:01-C*04:01:01-DRB1*04:06:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.10085,266
 765  A*24:02:01-B*15:27:01-C*04:01:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.32191,734
 766  A*24:02:01-B*15:27:01-C*04:01:01-DRB1*04:78-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 767  A*24:02:01-B*15:27:01-C*04:01:01-DRB1*08:03:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 768  A*24:02:01-B*15:27:01-C*04:01:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.02911,734
 769  A*24:02:01-B*15:27:01-C*04:01:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01735,266
 770  A*24:02:01-B*15:27:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 771  A*24:02:01-B*15:27:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 772  A*24:02:01-B*15:27:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 773  A*24:02:01-B*15:27:01-C*04:01:01-DRB1*14:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02725,266
 774  A*24:02:01-B*15:27:01-C*08:01:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00525,266
 775  A*24:02:01-B*15:32:01-C*12:03:01  China Jingpo Minority 1.0350105
 776  A*24:02:01-B*15:32:01-C*12:03:01-DRB1*04:05:01  China Jingpo Minority 0.5210105
 777  A*24:02:01-B*15:32:01-C*12:03:01-DRB1*15:04-DQB1*05:03:01  Poland BMR 0.002123,595
 778  A*24:02:01-B*15:32:01-DRB1*04:05:01  China Jingpo Minority 0.5210105
 779  A*24:02:01-B*15:35-C*01:02:01-DRB1*08:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00825,266
 780  A*24:02:01-B*15:35-C*01:02:01-DRB1*15:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00655,266
 781  A*24:02:01-B*15:39:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 782  A*24:02:01-B*18:01:01-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 783  A*24:02:01-B*18:01:01-C*01:02:01-DRB1*15:02:01-DQB1*05:03:11  Vietnam Kinh 0.4950101
 784  A*24:02:01-B*18:01:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 785  A*24:02:01-B*18:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 786  A*24:02:01-B*18:01:01-C*03:03:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 787  A*24:02:01-B*18:01:01-C*03:03:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 788  A*24:02:01-B*18:01:01-C*03:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 789  A*24:02:01-B*18:01:01-C*03:03:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.005523,595
 790  A*24:02:01-B*18:01:01-C*05:01:01  England Blood Donors of Mixed Ethnicity 0.0963519
 791  A*24:02:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 792  A*24:02:01-B*18:01:01-C*05:01:01-DRB1*07:01:01-DQA1*05:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 793  A*24:02:01-B*18:01:01-C*05:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 794  A*24:02:01-B*18:01:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.008523,595
 795  A*24:02:01-B*18:01:01-C*06:02:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.006423,595
 796  A*24:02:01-B*18:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 797  A*24:02:01-B*18:01:01-C*06:02:01-DRB1*11:04:01-DQB1*02:01:01  Poland BMR 0.002123,595
 798  A*24:02:01-B*18:01:01-C*06:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.000569423,595
 799  A*24:02:01-B*18:01:01-C*07:01:01  England Blood Donors of Mixed Ethnicity 0.3766519
 800  A*24:02:01-B*18:01:01-C*07:01:01  South African Mixed ancestry 1.000050

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 22,141) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 222  


   

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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