Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 155) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03-DPB1*02:01  Japan Central 1.1000371
 2  B*51:01-C*14:02-DRB1*09:01  South Korea pop 3 1.0000485
 3  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.725077,584
 4  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.681124,582
 5  A*24:02-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.652018,604
 6  A*02:01-B*51:01-C*14:02-E*01:03:02-F*01:01:02-G*01:01-DRB1*09:01:02-DQA1*03:02-DQB1*03:03  Portugal Azores Terceira Island 0.4386130
 7  A*11:01-B*51:01-C*14:02-DRB1*09:01  Germany DKMS - China minority 0.43101,282
 8  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.40741,734
 9  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.39003,078
 10  A*02:06-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.31101,772
 11  A*11:01-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.30377,595
 12  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 13  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.275299,672
 14  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.27101,772
 15  A*02:06:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.26841,734
 16  A*24:02-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.26767,595
 17  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 18  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 19  A*31:01-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.229018,604
 20  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.22731,734
 21  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.21231,734
 22  A*11:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.20801,772
 23  A*02:06-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.167018,604
 24  A*02:06-B*51:01-C*14:02-DRB1*09:01  Germany DKMS - China minority 0.15901,282
 25  A*24:02-B*51:01-C*14:02-DRB1*09:01  Germany DKMS - China minority 0.15401,282
 26  A*02:01-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.151018,604
 27  A*02:05-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  Italy pop 5 0.1400975
 28  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.137343,540
 29  A*31:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.13201,772
 30  A*31:01-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.13003,078
 31  A*02:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03-DPB1*02:01  Russia Karelia 0.11291,075
 32  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.11285,266
 33  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.10405,266
 34  A*02:01-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.09877,595
 35  A*02:07-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.08901,772
 36  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.08651,734
 37  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.08465,266
 38  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.07075,266
 39  A*02:01-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 40  A*02:01-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 41  A*02:03-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.06557,595
 42  A*11:01-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.063018,604
 43  A*03:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  India West UCBB 0.05915,829
 44  A*31:01-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.05877,595
 45  A*02:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 46  A*11:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 47  A*02:03:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05205,266
 48  A*11:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:02  India North UCBB 0.05135,849
 49  A*02:06-B*51:01-C*14:02-DRB1*09:01-DQB1*03:02  India North UCBB 0.05125,849
 50  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 0.050827,978
 51  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05065,266
 52  A*03:01-B*51:01-C*14:02-DRB1*09:01  Germany DKMS - United Kingdom minority 0.04801,043
 53  A*11:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.04671,734
 54  A*02:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  India East UCBB 0.04162,403
 55  A*02:07:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04135,266
 56  A*31:01-B*51:01-C*14:02-DRB1*09:01  Germany DKMS - China minority 0.03901,282
 57  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03815,266
 58  A*26:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  India West UCBB 0.03695,829
 59  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Filipino 0.035750,614
 60  A*02:03:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.03301,734
 61  A*26:01-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.031018,604
 62  A*02:06:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03035,266
 63  A*02:06-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 64  A*02:06-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 65  A*02:06-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 66  A*02:07-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 67  A*11:01-B*51:01-C*14:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 68  A*11:01-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 69  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 70  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 71  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 72  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 73  A*26:01-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 74  A*26:03-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 75  A*31:01-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 76  A*31:01-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 77  A*31:01-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 78  A*68:01-B*51:01-C*14:02-DRB1*09:01  Germany DKMS - Austria minority 0.02901,698
 79  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02765,266
 80  A*02:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Malay 0.0263951
 81  A*11:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  India Central UCBB 0.02384,204
 82  A*33:03:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02325,266
 83  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02315,266
 84  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02305,266
 85  A*33:03-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.02177,595
 86  A*26:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  Germany DKMS - Turkey minority 0.02104,856
 87  A*26:03-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.021018,604
 88  A*11:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  India East UCBB 0.02082,403
 89  A*02:06-B*51:01-C*14:02-DRB1*09:01-DQB1*03:02  India Tamil Nadu 0.02012,492
 90  A*11:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  India West UCBB 0.01785,829
 91  A*11:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:02  India West UCBB 0.01725,829
 92  A*23:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:02  India North UCBB 0.01715,849
 93  A*26:01-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  India North UCBB 0.01715,849
 94  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01675,266
 95  A*02:07-B*51:01-C*14:02-DRB1*09:01  Japan pop 16 0.016018,604
 96  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01575,266
 97  A*02:06:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01525,266
 98  A*11:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01485,266
 99  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01465,266
 100  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP North American Amerindian 0.014035,791

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 155) 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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