Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 224) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:03-B*35:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 4.1284218
 2  B*38:02-C*07:02-DRB1*16:02  China Southwest Dai 2.2000124
 3  A*24:02-B*39:02-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 2.127747
 4  A*02:04-B*39:05-C*07:02-DRB1*16:02-DQA1*05:01-DQB1*03:01-DPA1*01-DPB1*04:02  Venezuela Sierra de Perija Yucpa 1.200073
 5  A*02:03-B*38:02-C*07:02-DRB1*16:02  Hong Kong Chinese BMDR 1.19277,595
 6  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 1.0309194
 7  A*02:01-B*18:01-C*07:02-DRB1*16:02-DQA1*01:02-DQB1*05:02  United Arab Emirates Abu Dhabi 0.960052
 8  A*33:03-B*58:01-C*07:02-DRB1*16:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 0.960052
 9  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Chinese 0.902599,672
 10  A*02:02-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.7732194
 11  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.77175,266
 12  A*31:01-B*35:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 13  A*68:03-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Tixcacaltuyub Maya 0.746367
 14  A*68:01-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.6881218
 15  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.66271,734
 16  B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.6400234
 17  A*11:01:01-B*52:01:01-C*07:02:01-DRB1*16:02:01  China Jingpo Minority 0.5210105
 18  B*52:01:01-C*07:02:01-DRB1*16:02:01  China Jingpo Minority 0.5210105
 19  A*11:01:01-C*07:02:01-DRB1*16:02:01  China Jingpo Minority 0.5150105
 20  A*02:07:01-B*13:01:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  Vietnam Kinh 0.4950101
 21  A*68:03-B*35:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Mexico Chiapas Lacandon Mayans 0.4587218
 22  A*68:03-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.4587218
 23  A*02:03-B*38:02-C*07:02-DRB1*16:02  Germany DKMS - China minority 0.45101,282
 24  B*39:02-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4300234
 25  A*02:01-B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 26  A*68:01-B*39:02-C*07:02-DRB1*16:02-DQB1*03:01  Mexico Mexico City Mestizo pop 2 0.4274234
 27  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.39801,772
 28  A*11:01-B*67:01-C*07:02-DRB1*16:02  Japan pop 16 0.339018,604
 29  A*01-B*55-C*07:02-DRB1*16:02-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 30  A*68:01-B*39:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 0.3333150
 31  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Vietnamese 0.244643,540
 32  A*24:02-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 33  A*31:01-B*39:05-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 34  A*02:01-B*35:49-C*07:02-DRB1*16:02-DQB1*03:19-DPB1*04:02  Panama 0.1900462
 35  A*02:11-B*39:05-C*07:02-DRB1*16:02-DQB1*03:01-DPB1*14:01  Panama 0.1900462
 36  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.16591,734
 37  A*68:01:01-B*08:01:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01-DPB1*14:01:01  Saudi Arabia pop 6 (G) 0.147028,927
 38  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.14421,734
 39  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14245,266
 40  A*02:01-B*39:11-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.13671,463
 41  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.13405,266
 42  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 0.131350,614
 43  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP Southeast Asian 0.125927,978
 44  A*11:01-B*40:01-C*07:02-DRB1*16:02  Hong Kong Chinese BMDR 0.12067,595
 45  A*24:02-B*40:01-C*07:02-DRB1*16:02  Hong Kong Chinese BMDR 0.11887,595
 46  A*11:01-B*67:01-C*07:02-DRB1*16:02  Germany DKMS - China minority 0.11701,282
 47  A*02:01-B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.11501,463
 48  A*24:02-B*38:02-C*07:02-DRB1*16:02  Hong Kong Chinese BMDR 0.10987,595
 49  A*11:01-B*52:01-C*07:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 50  A*24:07-B*15:02-C*07:02-DRB1*16:02-DQB1*06:01  Malaysia Peninsular Malay 0.1052951
 51  A*24:02-B*67:01-C*07:02-DRB1*16:02  Japan pop 16 0.104018,604
 52  A*31:01-B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.10251,463
 53  A*68:01-B*39:11-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.10251,463
 54  A*68:01-B*39:19-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.10251,463
 55  A*11:01-B*67:01-C*07:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:02  Japan pop 17 0.10003,078
 56  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.08965,266
 57  A*24:02-B*67:01-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 58  A*26:01-B*40:01-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 59  A*02:05-B*07:02-C*07:02-DRB1*16:02-DQB1*05:02  USA African American pop 4 0.08702,411
 60  A*02:01-B*38:02-C*07:02-DRB1*16:02  Hong Kong Chinese BMDR 0.08397,595
 61  A*32:01-B*18:18-C*07:02-DRB1*16:02  Germany DKMS - Greece minority 0.07901,894
 62  A*24:02-B*39:05-C*07:02-DRB1*16:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.07831,463
 63  A*33:03-B*38:02-C*07:02-DRB1*16:02  Germany DKMS - China minority 0.07801,282
 64  A*11:01-B*38:02-C*07:02-DRB1*16:02  Hong Kong Chinese BMDR 0.07597,595
 65  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.07475,266
 66  A*02:01-B*67:01-C*07:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:02  Japan pop 17 0.07003,078
 67  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India Central UCBB 0.06934,204
 68  A*24:02-B*39:06-C*07:02-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.06701,999
 69  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06615,266
 70  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06415,266
 71  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.06075,266
 72  A*11:02:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.05771,734
 73  A*02:01:01-B*67:01:01-C*07:02:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.05631,734
 74  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05395,266
 75  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05285,266
 76  A*02:02-B*13:01-C*07:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 77  A*02:02-B*27:06-C*07:02-DRB1*16:02-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 78  A*02:03-B*40:06-C*07:02-DRB1*16:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 79  A*24:10-B*18:01-C*07:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 80  A*34:01-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 81  A*01:01-B*39:01-C*07:02-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 82  A*02:01-B*39:01-C*07:02-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 83  A*24:02-B*39:13-C*07:02-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 84  A*31:01-B*39:11-C*07:02-DRB1*16:02-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 85  A*02:07-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04601,772
 86  A*24:02-B*39:06-C*07:02-DRB1*16:02  Germany DKMS - Spain minority 0.04501,107
 87  A*02:05-B*08:12-C*07:02-DRB1*16:02-DQB1*05:02  USA African American pop 4 0.04402,411
 88  A*02:11-B*08:01-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 89  A*11:01-B*40:01-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 90  A*23:01-B*07:02-C*07:02-DRB1*16:02-DQB1*05:02  USA African American pop 4 0.04402,411
 91  A*24:02-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 92  A*24:02-B*39:01-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 93  A*26:01-B*67:01-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 94  A*02:03:01-B*40:01:02-C*07:02:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04385,266
 95  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04335,266
 96  A*02:03-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.04295,829
 97  A*02:01-B*67:01-C*07:02-DRB1*16:02  Japan pop 16 0.042018,604
 98  A*01:01-B*67:01-C*07:02-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 99  A*02:01-B*38:02-C*07:02-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 100  A*02:01-B*67:01-C*07:02-DRB1*16:02  Germany DKMS - China minority 0.03901,282

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 224) 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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