Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 1 to 96 (from 96) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Filipino 3.711950,614
 2  A*24:02:01-B*38:02:01-C*07:02:01  China Jingpo Minority 2.3500105
 3  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*12:02:01  China Jingpo Minority 1.9740105
 4  A*24:02-B*38:02-C*07:02  USA Asian 1.5000358
 5  A*24:02-B*38:02-C*07:02  China Canton Han 1.3000264
 6  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.5783951
 7  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA NMDP Hawaiian or other Pacific Islander 0.407911,499
 8  A*24:02-B*38:02-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.26501,772
 9  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*01:01  United Arab Emirates Pop 1 0.1869570
 10  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.17801,772
 11  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.1689296
 12  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
 13  A*24:02-B*38:02-C*07:02-DRB1*16:02  Hong Kong Chinese BMDR 0.10987,595
 14  A*24:02-B*38:02-C*07:02-DRB1*15:02  Hong Kong Chinese BMDR 0.10507,595
 15  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India East UCBB 0.10402,403
 16  A*24:02-B*38:02-C*07:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*05:01  United Arab Emirates Pop 1 0.0935570
 17  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India West UCBB 0.08525,829
 18  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.08225,266
 19  A*24:02-B*38:02-C*07:02-DRB1*09:01  Germany DKMS - China minority 0.07401,282
 20  A*24:02-B*38:02-C*07:02-DRB1*08:03  Hong Kong Chinese BMDR 0.07027,595
 21  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*14:01  Sri Lanka Colombo 0.0700714
 22  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQA1*01:02-DQB1*05:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 23  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
 24  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.06242,403
 25  A*24:02-B*38:02-C*07:02-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.05301,772
 26  A*24:02-B*38:02-C*07:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 27  A*24:02-B*38:02-C*07:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*01:01  United Arab Emirates Pop 1 0.0467570
 28  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*05:01  United Arab Emirates Pop 1 0.0467570
 29  A*24:02-B*38:02-C*07:02-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.0449951
 30  A*24:02-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 31  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*14:54:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03775,266
 32  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India Central UCBB 0.03574,204
 33  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 34  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*12:01:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 35  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*12:02:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 36  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*14:54:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 37  A*24:02:40-B*38:02:01-C*07:02:01-DRB1*12:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02815,266
 38  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02745,266
 39  A*24:02-B*38:02-C*07:02-DRB1*04:05  Hong Kong Chinese BMDR 0.02647,595
 40  A*24:02-B*38:02-C*07:02-DRB1*14:54-DQB1*04:01  India West UCBB 0.02575,829
 41  A*24:02-B*38:02-C*07:02-DRB1*12:02  Hong Kong Chinese BMDR 0.02447,595
 42  A*24:02-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India East UCBB 0.02382,403
 43  A*24:02-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.02364,204
 44  A*24:02-B*38:02-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.02197,595
 45  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02115,266
 46  A*24:02-B*38:02-C*07:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 47  A*24:02-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.02012,492
 48  A*24:02:31-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02005,266
 49  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01975,266
 50  A*24:02-B*38:02-C*07:02-DRB1*09:01  Hong Kong Chinese BMDR 0.01937,595
 51  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01895,266
 52  A*24:02:31-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01805,266
 53  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.01741,734
 54  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India North UCBB 0.01715,849
 55  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01494,204
 56  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01475,266
 57  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01415,266
 58  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01275,266
 59  A*24:02-B*38:02-C*07:02-DRB1*14:07  Hong Kong Chinese BMDR 0.01127,595
 60  A*24:02-B*38:02-C*07:02-DRB1*08:03-DQB1*03:01  USA Asian pop 2 0.01101,772
 61  A*24:02-B*38:02-C*07:02-DRB1*14:07-DQB1*05:02  USA Asian pop 2 0.01101,772
 62  A*24:02-B*38:02-C*07:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01024,204
 63  A*24:02-B*38:02-C*07:02-DRB1*11:01  Hong Kong Chinese BMDR 0.01027,595
 64  A*24:02-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.01002,492
 65  A*24:02-B*38:02-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.01002,492
 66  A*24:02-B*38:02-C*07:02-DRB1*08:03  Japan pop 16 0.010018,604
 67  A*24:02-B*38:02-C*07:02-DRB1*14:06  Japan pop 16 0.010018,604
 68  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00985,266
 69  A*24:02-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.009511,446
 70  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*03:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 71  A*24:02:40-B*38:02:01-C*07:02:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00935,266
 72  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*07:01:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00885,266
 73  A*24:02-B*38:02-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.008711,446
 74  A*24:02-B*38:02-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 75  A*24:02-B*38:02-C*07:02-DRB1*16:02-DQB1*05:02  India West UCBB 0.00865,829
 76  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 77  A*24:02-B*38:02-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.008011,446
 78  A*24:02-B*38:02-C*07:02-DRB1*04:03  Hong Kong Chinese BMDR 0.00737,595
 79  A*24:02-B*38:02-C*07:02-DRB1*14:05  Hong Kong Chinese BMDR 0.00737,595
 80  A*24:02:01-B*38:02:02-C*07:02:01-DRB1*15:02:01-DPB1*01:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00575,266
 81  A*24:02:01-B*38:02:02-C*07:02:01-DRB1*15:02:01-DPB1*48:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00525,266
 82  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*14:54:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00515,266
 83  A*24:02-B*38:02-C*07:02-DRB1*09:01  Japan pop 16 0.005018,604
 84  A*24:02-B*38:02-C*07:02-DRB1*14:54  Japan pop 16 0.005018,604
 85  A*24:02-B*38:02-C*07:02-DRB1*15:02  Japan pop 16 0.005018,604
 86  A*24:02:01-B*38:02:01-C*07:02:01-DRB1*09:01:02-DPB1*09:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00475,266
 87  A*24:02-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004611,446
 88  A*24:02-B*38:02-C*07:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 89  A*24:02-B*38:02-C*07:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.004411,446
 90  A*24:02-B*38:02-C*07:02-DRB1*15:01-DQB1*05:02  India South UCBB 0.004411,446
 91  A*24:02-B*38:02-C*07:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.00385,829
 92  A*24:02-B*38:02-C*07:02-DRB1*14:54  Hong Kong Chinese BMDR 0.00347,595
 93  A*24:02-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Chinese 0.003299,672
 94  A*24:02-B*38:02-C*07:02-DRB1*14:01-DQB1*05:03  USA Asian pop 2 0.00201,772
 95  A*24:02-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP Mexican or Chicano 0.0001910261,235
 96  A*24:02-B*38:02-C*07:02-DRB1*15:02-DRB5*01:01-DQB1*05:02  USA NMDP European Caucasian 0.00005281,242,890

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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