Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 87 (from 87) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*15:18:01-C*12:03:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 2  A*03:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 3  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 4  A*26:01:01-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.5620356
 5  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.4210356
 6  A*24:02:01:01-B*15:18:01-C*14:02:01-DRB1*14:03:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 7  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 8  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*07:01:01-DQA1*03:01:01-DQB1*02:02-DPA1*02:07-DPB1*03:01:01  Russia Belgorod region 0.3268153
 9  A*01:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 10  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 11  A*33:03:01-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 12  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*08:03:02-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 13  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 14  A*68:01:02-B*15:18:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 15  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 16  A*01:01:01-B*15:18:01-C*07:04:01-DRB1*14:07:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 17  A*11:01:01-B*15:18:01-C*16:02:01-DRB1*14:04:01-DQB1*05:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 18  A*24:02:13-B*15:18:01-C*16:02:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 19  A*24:17-B*15:18:01-C*07:04:01-DRB1*04:10:01-DQB1*04:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 20  A*33:03:01-B*15:18:01-C*07:04:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 21  A*30:01:01-B*15:18:01-C*07:04:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 22  A*68:01:01-B*15:18:01-C*07:04:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DQB1*03:01:01  China Zhejiang Han 0.17301,734
 24  A*02:11:01-B*15:18:01-C*07:04:01-DRB1*11:04:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 25  A*03:01:01-B*15:18:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 26  A*03:01:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 27  A*03:01:01-B*15:18:01-C*07:04:01-DRB1*12:01:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 28  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
 29  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
 30  A*26:01:01-B*15:18:01-C*07:04:01-DRB1*13:02:01-DQB1*02:01:07  India Kerala Malayalam speaking 0.1400356
 31  A*26:01:01-B*15:18:01-C*16:02:01-DRB1*10:01:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 32  A*68:01:01-B*15:18:01-C*07:04:01-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 33  A*68:01:02-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 34  A*68:01:02-B*15:18:01-C*16:02:01-DRB1*13:02:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 35  A*11:01:01-B*15:18:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.06091,734
 36  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DQB1*03:02:01  China Zhejiang Han 0.05771,734
 37  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.05771,734
 38  A*11:01:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DQB1*03:02:01  China Zhejiang Han 0.05771,734
 39  A*11:01:01-B*15:18:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.05451,734
 40  A*11:01:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03575,266
 41  A*02:01:01:01-B*15:18:01-C*07:04:01-DRB1*03:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 42  A*32:01:01-B*15:18:01-C*07:04:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 43  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 44  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 45  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 46  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 47  A*02:06:01-B*15:18:01-C*08:01:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 48  A*02:06:01-B*15:18:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 49  A*11:01:01-B*15:18:01-C*03:04:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 50  A*11:01:01-B*15:18:01-C*08:01:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 51  A*11:02:01-B*15:18:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 52  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
 53  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
 54  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
 55  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
 56  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
 57  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
 58  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
 59  A*29:01:01-B*15:18:01-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 60  A*31:01:02-B*15:18:01-C*07:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 61  A*31:01:02-B*15:18:01-C*07:04:01-DRB1*04:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 62  A*31:01:02-B*15:18:01-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 63  A*31:01:02-B*15:18:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 64  A*31:01:02-B*15:18:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 65  A*31:01:02-B*15:18:01-C*08:41-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 66  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02665,266
 67  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
 68  A*11:01:01-B*15:18:01-C*08:01:01-DRB1*04:04:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02255,266
 69  A*02:06:01-B*15:18:01-C*08:01:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 70  A*32:01:01-B*15:18:01-C*08:01:01-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 71  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
 72  A*02:01:01-B*15:18:01-C*08:01:01-DRB1*04:04:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 73  A*11:01:01-B*15:18:01-C*07:04:01-DRB1*04:06:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 74  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
 75  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*11:01:01-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 76  A*11:01:01-B*15:18:01-C*07:04:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00895,266
 77  A*02:06:01-B*15:18:01-C*08:01:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00845,266
 78  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00785,266
 79  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
 80  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00685,266
 81  A*11:01:01-B*15:18:01-C*08:01:01-DRB1*15:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00655,266
 82  A*33:03:01-B*15:18:01-C*08:01:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00645,266
 83  A*11:01:01-B*15:18:01-C*08:01:01-DRB1*15:01:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00625,266
 84  A*31:01:02-B*15:18:01-C*07:04:01-DRB1*14:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00575,266
 85  A*11:02:01-B*15:18:01-C*08:01:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00565,266
 86  A*11:02:01-B*15:18:01-C*08:01:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00525,266
 87  A*31:01:02-B*15:18:01-C*08:01:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00475,266

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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