Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 289) records   Pages: 1 2 3 of 3  

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*24:02-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.403611,446
 5  A*11:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.358311,446
 6  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
 7  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
 8  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
 9  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
 10  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
 11  A*24:02-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.31755,829
 12  A*33:03:01-B*07:06-C*07:06-DRB1*04:08:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 13  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
 14  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
 15  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
 16  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
 17  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
 18  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
 19  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
 20  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
 21  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
 22  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
 23  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
 24  A*11:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.26575,829
 25  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
 26  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
 27  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
 28  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
 29  A*11:01-B*07:06-C*04:01-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.1689296
 30  A*02:11-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.160911,446
 31  A*11:01-B*07:06-C*07:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.157811,446
 32  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
 33  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
 34  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
 35  A*03:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.138611,446
 36  A*01:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.106911,446
 37  A*30:02-B*07:06-C*15:05-DRB1*04:05  Italy pop 5 0.1000975
 38  B*07:06-DRB1*04:05  Italy pop 5 0.1000975
 39  A*24:02-B*07:06-C*07:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.095911,446
 40  A*24:07-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.09364,204
 41  A*24:02-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.09032,403
 42  A*30:02-B*07:06-C*15:05  Italy pop 5 0.0900975
 43  A*02:11-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.08965,829
 44  A*24:07-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.07655,849
 45  A*11:01-B*07:06-C*07:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.07335,829
 46  A*24:02-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.07155,849
 47  A*24:02-B*07:06-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.070911,446
 48  A*11:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.07022,403
 49  A*02:131-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.069211,446
 50  A*33:03-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.059211,446
 51  A*11:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.05814,204
 52  A*02:11-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.05462,403
 53  B*07:06-DRB1*13:02  Italy pop 5 0.0500975
 54  A*02:11-B*07:06-C*07:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.048811,446
 55  A*24:02-B*07:06-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.046911,446
 56  A*02:131-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.04515,829
 57  A*33:03-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.04305,829
 58  A*68:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.042811,446
 59  A*24:07-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.04162,403
 60  A*02:11-B*07:06-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.038611,446
 61  A*03:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.03735,849
 62  A*01:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.03695,829
 63  A*26:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.036611,446
 64  A*02:131-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.03574,204
 65  A*01:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.03462,403
 66  A*11:01-B*07:06-C*07:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.03354,204
 67  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
 68  A*24:02-B*07:06-C*01:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.030611,446
 69  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
 70  A*11:01-B*07:06-C*07:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.028811,446
 71  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
 72  A*24:07-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.02835,829
 73  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
 74  A*02:09-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.027011,446
 75  A*24:02-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.02654,204
 76  A*03:01-B*07:06-C*07:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.025511,446
 77  A*24:02-B*07:06-C*07:02-DRB1*08:03-DQB1*03:01  India South UCBB 0.024611,446
 78  A*03:01-B*07:06-C*07:02-DRB1*04:05-DQB1*04:02  India South UCBB 0.021811,446
 79  A*32:01-B*07:06-C*07:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.021811,446
 80  A*11:01-B*07:06-C*07:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.021211,446
 81  A*01:01-B*07:06-C*07:02-DRB1*16:02-DQB1*05:02  India East UCBB 0.02082,403
 82  A*02:01-B*07:06-C*07:02-DRB1*09:01-DQB1*03:02  India East UCBB 0.02082,403
 83  A*02:06-B*07:06-C*07:02-DRB1*12:02-DQB1*03:01  India East UCBB 0.02082,403
 84  A*11:01-B*07:06-C*07:02-DRB1*04:02-DQB1*03:02  India East UCBB 0.02082,403
 85  A*11:01-B*07:06-C*07:02-DRB1*04:05-DQB1*04:02  India East UCBB 0.02082,403
 86  A*24:02-B*07:06-C*01:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 87  A*24:02-B*07:06-C*07:02-DRB1*08:03-DQB1*03:01  India East UCBB 0.02082,403
 88  A*24:02-B*07:06-C*07:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 89  A*24:02-B*07:06-C*07:02-DRB1*11:04-DQB1*03:01  India East UCBB 0.02082,403
 90  A*24:02-B*07:06-C*07:02-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 91  A*24:02-B*07:06-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.02085,829
 92  A*29:01-B*07:06-C*01:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 93  A*33:03-B*07:06-C*03:04-DRB1*15:01-DQB1*05:02  India East UCBB 0.02082,403
 94  A*74:05-B*07:06-C*07:02-DRB1*12:02-DQB1*03:01  India East UCBB 0.02082,403
 95  A*33:03-B*07:06-C*07:02-DRB1*15:01-DQB1*05:02  India West UCBB 0.01975,829
 96  A*68:01-B*07:06-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.01975,829
 97  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
 98  A*68:01-B*07:06-C*07:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.019111,446
 99  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
 100  A*11:01-B*07:06-C*07:02-DRB1*04:10-DQB1*04:02  India South UCBB 0.017511,446

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 1 to 100 (from 289) records   Pages: 1 2 3 of 3  


   

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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