Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 51 (from 51) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 2  A*33:03:01-B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 3  B*44:03:02-C*07:01:01-DRB1*07:01:01  China Jingpo Minority 2.0830105
 4  B*44:03:02-DRB1*07:01:01  China Jingpo Minority 2.0830105
 5  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 1.7240174
 6  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 1.6150356
 7  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
 8  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.1208186
 9  A*01:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.8213186
 10  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.7020356
 11  A*01:01:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 12  A*02:11:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 13  A*11:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.5376186
 14  A*24:02:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.4910356
 15  A*24:02:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.4345186
 16  A*29:02:01-B*44:03:02-C*06:02:01-DRB1*07:01:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 17  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.31485,266
 18  A*24:02:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.3116186
 19  A*01:01:01-B*44:03:02-C*16:02:01-DRB1*07:01:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 20  A*24:02:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 21  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 22  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 23  A*03:01:01-B*44:03:02-C*07:01:18-DRB1*07:01:01-DQB1*06:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 24  A*23:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 25  A*24:02:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 26  A*68:01:02-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 27  A*68:01:02-B*44:03:02-C*12:02:02-DRB1*07:01:01-DQB1*06:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 28  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.25951,734
 29  A*11:01:01-B*44:03:02-C*04:01:01-DRB1*07:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 30  A*24:02:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 31  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 32  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 33  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
 34  A*68:01:02-B*44:03:02-C*02:75-DRB1*07:01:01-DQB1*02:01:10  India Kerala Malayalam speaking 0.1400356
 35  A*68:01:02-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 36  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.114228,927
 37  A*11:01:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 38  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.07745,266
 39  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06935,266
 40  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04315,266
 41  A*31:01:02:01-B*44:03:02-C*12:03:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 42  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02815,266
 43  A*24:02:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02665,266
 44  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02565,266
 45  A*02:01:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 46  A*02:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 47  A*33:03:01-B*44:03:02-C*03:02:02-DRB1*07:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 48  A*02:07:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 49  A*33:03:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00895,266
 50  A*02:06:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00795,266
 51  A*02:07:01-B*44:03:02-C*07:06:01-DRB1*07:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00795,266

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).




   

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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