Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 135) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01-B*13:01-C*03:04-DRB1*16:02  China Southwest Dai 4.7000124
 2  B*13:01-C*03:04-DRB1*16:02  China Southwest Dai 4.4000124
 3  B*40:01-C*03:04-DRB1*16:02  China Southwest Dai 2.8000124
 4  A*11:01-B*13:01-C*03:04-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 2.0619194
 5  A*24:02-B*40:02-C*03:04-DRB1*16:02-DQA1*05:05-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 6  A*68:01-B*40:08-C*03:04-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 7  A*24:02:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  Vietnam Kinh 0.9900101
 8  B*40:02-C*03:04-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.8600234
 9  A*11:01-B*13:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.60127,595
 10  A*02:07-B*40:01:01-C*03:04:01-DRB1*16:02:01  China Jingpo Minority 0.5210105
 11  B*40:01:01-C*03:04:01-DRB1*16:02:01  China Jingpo Minority 0.5210105
 12  A*02:07-C*03:04:01-DRB1*16:02:01  China Jingpo Minority 0.5150105
 13  A*02:06-B*40:02-C*03:04-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 14  A*31:01-B*40:02-C*03:04-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 0.3333150
 15  A*68:01-B*40:02-C*03:04-DRB1*16:02-DQA1*05:10-DQB1*03:01  Brazil Puyanawa 0.3333150
 16  A*24:02-B*35:30-C*03:04-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.32171,463
 17  A*01:02-B*40:01:02-C*03:04:01-DRB1*16:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 18  A*26:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 19  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.25951,734
 20  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.25815,266
 21  A*11:01-B*40:06-C*03:04-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 22  A*24:02-B*40:01-C*03:04-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 23  A*24:02-B*58:01-C*03:04-DRB1*16:02-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 24  A*26:01-B*39:01-C*03:04-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 25  A*24:02-B*13:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.21617,595
 26  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.19851,734
 27  A*24:02-B*40:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.19317,595
 28  A*02:22-B*35:10-C*03:04-DRB1*16:02-DQB1*03:01-DPB1*04:02  Panama 0.1900462
 29  A*02:22-B*40:02-C*03:04-DRB1*16:02-DQB1*03:01-DPB1*04:01  Panama 0.1900462
 30  A*68:01-B*40:02-C*03:04-DRB1*16:02-DQB1*03:01-DPB1*02:01  Panama 0.1900462
 31  A*11:01-B*13:01-C*03:04-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.17801,772
 32  A*11:01-B*40:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.17807,595
 33  A*11:01-B*13:01-C*03:04-DRB1*16:02  Germany DKMS - China minority 0.15601,282
 34  A*24:02:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14235,266
 35  A*11:01:01-B*13:01:01-C*03:04:04-DRB1*16:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14025,266
 36  A*02:03-B*40:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.10787,595
 37  A*34:01-B*13:01-C*03:04-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 38  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09995,266
 39  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09555,266
 40  A*11:01:01-B*13:01:01-C*03:04:04-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.08941,734
 41  A*11:02-B*40:01-C*03:04-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 42  A*02:01-B*13:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.08577,595
 43  A*68:01-B*40:02-C*03:04-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.08401,999
 44  A*02:01-B*40:01-C*03:04-DRB1*16:02  Germany DKMS - China minority 0.07801,282
 45  A*02:03:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06795,266
 46  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.06551,734
 47  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06495,266
 48  A*02:07:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.06221,734
 49  A*02:07:01-B*13:01:01-C*03:04:04-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.05771,734
 50  A*02:01-B*40:02-C*03:04-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.05601,999
 51  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.05335,266
 52  A*02:01-B*40:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.05327,595
 53  A*02:02-B*40:01-C*03:04-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 54  A*03:01-B*15:06-C*03:04-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 55  A*11:01-B*13:01-C*03:04-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 56  A*01:01-B*40:02-C*03:04-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 57  A*11:01-B*13:01-C*03:04-DRB1*16:02-DQB1*05:02  USA Hispanic pop 2 0.04701,999
 58  A*24:02-B*35:14-C*03:04-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 59  A*02:06-B*13:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.04637,595
 60  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04635,266
 61  A*02:03-B*13:01-C*03:04-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 62  A*26:01-B*13:01-C*03:04-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 63  A*68:02-B*49:01-C*03:04-DRB1*16:02-DQB1*05:02  USA African American pop 4 0.04402,411
 64  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04315,266
 65  A*33:03-B*40:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.04057,595
 66  A*24:02:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.04015,266
 67  A*02:03-B*13:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.03997,595
 68  A*02:06-B*13:01-C*03:04-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 69  A*74:01-B*13:01-C*03:04-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 70  A*33:03-B*13:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.03567,595
 71  A*01:01-B*39:05-C*03:04-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 72  A*02:11-B*35:02-C*03:04-DRB1*16:02-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 73  A*02:22-B*40:02-C*03:04-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 74  A*11:02:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03185,266
 75  A*02:06:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03045,266
 76  A*02:03:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 77  A*02:06:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 78  A*26:01:01-B*15:01:01-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 79  A*26:01:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 80  A*11:02-B*13:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.02857,595
 81  A*11:01:01-B*13:01:01-C*03:04:04-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02765,266
 82  A*24:02:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02715,266
 83  A*02:06:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02615,266
 84  A*01:01-B*55:01-C*03:04-DRB1*16:02  Germany DKMS - Greece minority 0.02601,894
 85  A*02:03:01-B*13:01:01-C*03:04:04-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.02601,734
 86  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02465,266
 87  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02455,266
 88  A*26:01-B*13:01-C*03:04-DRB1*16:02  Hong Kong Chinese BMDR 0.02287,595
 89  A*11:01:01-B*13:01:01-C*03:04:04-DRB1*16:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.02275,266
 90  A*68:01-B*51:01-C*03:04-DRB1*16:02-DQB1*03:01  USA African American pop 4 0.02202,411
 91  A*02:07:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02195,266
 92  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02125,266
 93  A*24:02-B*13:01-C*03:04-DRB1*16:02-DQB1*05:02  India East UCBB 0.02082,403
 94  A*02:06:01-B*13:01:01-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02065,266
 95  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 96  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01875,266
 97  A*02:03:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01825,266
 98  A*02:07:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01625,266
 99  A*02:03:01-B*40:01:02-C*03:04:01-DRB1*16:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01425,266
 100  A*24:02:01-B*13:01:01-C*03:04:04-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01365,266

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).


Displaying 1 to 100 (from 135) records   Pages: 1 2 of 2  


   

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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