Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 66 (from 66) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01:01-B*07:06:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*11:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*11:01:01-B*07:06:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 1.3441186
 3  A*24:02:01-B*07:06:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.7020356
 4  A*01:01:01-B*07:06:01-C*07:02:01-DRB1*08:04:01-DQB1*04:02:01-DPB1*02:01:02  South African Black 0.3520142
 5  A*01:01:01-B*07:06:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01  South African Black 0.3520142
 6  A*23:17-B*07:06:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*02:01:02  South African Black 0.3520142
 7  A*68:02:01-B*07:06:01-C*08:04:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*01:01:01  South African Black 0.3520142
 8  A*24:02:01-B*07:06-C*15:05:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 9  A*33:03:01-B*07:06-C*07:06-DRB1*04:08:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 10  A*01:01:01-B*07:06:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 11  A*01:01:01-B*07:06:01-C*14:02:01-DRB1*13:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 12  A*02:03:01-B*07:06:01-C*07:02:01-DRB1*04:05:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 13  A*02:11:01-B*07:06:01-C*03:02:02-DRB1*07:03-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 14  A*11:01:01-B*07:06:01-C*07:02:01-DRB1*04:10:01-DQB1*04:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 15  A*11:01:01-B*07:06:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 16  A*11:01:01-B*07:06:01-C*07:04:01-DRB1*15:02:02-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 17  A*24:02:01-B*07:06:01-C*03:03:01-DRB1*04:05:01-DQB1*04:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 18  A*24:02:13-B*07:06:01-C*07:02:01-DRB1*04:10:01-DQB1*04:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 19  A*26:01:01-B*07:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 20  A*68:01:02-B*07:06:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 21  A*03:01:01-B*07:06:01-C*15:05:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 22  A*03:01:01-B*07:06:01-C*15:05:02-DRB1*07:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*45:01  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*26:01:01-B*07:06:01-C*06:02:01-DRB1*04:05:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*124:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 24  A*66:01:01-B*07:06:01-C*06:02:01-DRB1*04:05:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*124:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 25  A*03:01:01-B*07:06:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 26  A*33:65-B*07:06:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 27  A*68:01:02-B*07:06:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 28  A*30:02-B*07:06-C*15:05-DRB1*04:05  Italy pop 5 0.1000975
 29  B*07:06-DRB1*04:05  Italy pop 5 0.1000975
 30  A*24:07-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India UCBB_Central Indian HLA 0.09364,204
 31  A*30:02-B*07:06-C*15:05  Italy pop 5 0.0900975
 32  A*11:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India UCBB_Central Indian HLA 0.05814,204
 33  B*07:06-DRB1*13:02  Italy pop 5 0.0500975
 34  A*02:131-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India UCBB_Central Indian HLA 0.03574,204
 35  A*11:01-B*07:06-C*07:02-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.03354,204
 36  A*01:01:01:01-B*07:06-C*15:05:02-DRB1*04:05:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 37  A*11:01:01-B*07:06:01-C*03:04:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 38  A*24:02:01-B*07:06:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 39  A*11:01:01-B*07:06:01-C*07:02:01-DRB1*12:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02735,266
 40  A*24:02-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India UCBB_Central Indian HLA 0.02654,204
 41  A*11:01:01-B*07:06:01-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01945,266
 42  A*24:02:01-B*07:06:01-C*07:02:01-DRB1*11:129-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 43  A*33:03:01-B*07:06:01-C*07:02:01-DRB1*12:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01745,266
 44  A*02:11-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India UCBB_Central Indian HLA 0.01374,204
 45  A*01:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India UCBB_Central Indian HLA 0.01264,204
 46  A*02:01-B*07:06-C*07:02-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 47  A*02:11-B*07:06-C*07:01-DRB1*07:01-DQB1*02:02  India UCBB_Central Indian HLA 0.01194,204
 48  A*02:11-B*07:06-C*07:02-DRB1*15:02-DQB1*05:01  India UCBB_Central Indian HLA 0.01194,204
 49  A*02:11-B*07:06-C*14:02-DRB1*07:01-DQB1*02:02  India UCBB_Central Indian HLA 0.01194,204
 50  A*11:01-B*07:06-C*07:02-DRB1*04:10-DQB1*04:02  India UCBB_Central Indian HLA 0.01194,204
 51  A*24:02-B*07:06-C*07:02-DRB1*11:04-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 52  A*24:07-B*07:06-C*07:02-DRB1*08:04-DQB1*04:02  India UCBB_Central Indian HLA 0.01194,204
 53  A*30:01-B*07:06-C*04:01-DRB1*13:02-DQB1*06:04  India UCBB_Central Indian HLA 0.01194,204
 54  A*68:01-B*07:06-C*07:02-DRB1*15:06-DQB1*05:02  India UCBB_Central Indian HLA 0.01194,204
 55  A*11:01:01-B*07:06:01-C*07:02:01-DRB1*03:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00985,266
 56  A*11:02:01-B*07:06:01-C*07:02:01-DRB1*11:129-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 57  A*34:01:01-B*07:06:01-C*07:02:01-DRB1*04:05:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 58  A*24:02:01-B*07:06:01-C*07:02:01-DRB1*12:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 59  A*11:01:01-B*07:06:01-C*07:02:01-DRB1*11:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00865,266
 60  A*11:01:01-B*07:06:01-C*07:02:01-DRB1*11:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00725,266
 61  A*24:02:01-B*07:06:01-C*07:02:01-DRB1*11:06:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00725,266
 62  A*03:01:01-B*07:06:01-C*15:05:02-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.006423,595
 63  A*11:01:01-B*07:06:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002923,595
 64  A*01:01:01-B*07:06:01-C*15:05:02-DRB1*04:05:01-DQB1*03:02:01  Poland BMR 0.002123,595
 65  A*29:01:01-B*07:06:01-C*15:05:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 66  A*02:01:01-B*07:06:01-C*14:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.001323,595

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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