Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 83 (from 83) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*38-C*07-DRB1*04  Myanmar Kayin 1.136044
 2  A*02-B*38-C*07-DRB1*04-DQB1*03-DPB1*09  Myanmar Kayin 1.136044
 3  A*11-B*38-C*07-DRB1*04  Myanmar Rakhine 1.042048
 4  A*11:01-B*38:02-C*07:02-DRB1*04:05-DQB1*04:01  India Northeast UCBB 0.5068296
 5  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  Vietnam Kinh 0.4950101
 6  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*04:06:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 7  A*68:03-B*38:01-C*07:02-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 8  B*38:01-C*07:02-DRB1*04:11-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 9  A*32-B*38-C*07-DRB1*04-DQB1*03  Albania pop 2 0.3400432
 10  A*11-B*38-C*07:02-DRB1*04:04-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 11  A*33:03:01-B*38:01:01-C*07:02:01-DRB1*04:03:01-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 12  A*11:01-B*38:02-C*07:02-DRB1*04:05-DQA1*01:02-DQB1*05:02-DPB1*01:01  USA San Diego 0.2600496
 13  A*11:02-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 14  A*02:03-B*38:02-C*07:02-DRB1*04:03  Hong Kong Chinese BMDR 0.18107,595
 15  A*02:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.17801,772
 16  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.17125,266
 17  A*74:02-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02  India Northeast UCBB 0.1689296
 18  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.08651,734
 19  A*31:01-B*38:02-C*07:02-DRB1*04:05  Germany DKMS - China minority 0.07801,282
 20  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05485,266
 21  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05445,266
 22  A*02:06-B*38:02-C*07:02-DRB1*04:05-DQB1*04:01  Malaysia Peninsular Malay 0.0526951
 23  A*24:02-B*38:02-C*07:05-DRB1*04:05-DQB1*04:02  Malaysia Peninsular Malay 0.0526951
 24  A*02:03-B*38:02-C*07:02-DRB1*04:03  Germany DKMS - China minority 0.03901,282
 25  A*11:02-B*38:02-C*07:02-DRB1*04:05  Germany DKMS - China minority 0.03901,282
 26  A*26:20-B*38:02-C*07:02-DRB1*04:03  Germany DKMS - China minority 0.03901,282
 27  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.03081,734
 28  A*02:01-B*38:02-C*07:02-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 29  A*11:01:01-B*38:02:01-C*07:04:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 30  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
 31  A*24:02:01-B*38:02:01-C*07:27:01-DRB1*04:10:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 32  A*33:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 33  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:05:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02745,266
 34  A*24:02-B*38:02-C*07:02-DRB1*04:05  Hong Kong Chinese BMDR 0.02647,595
 35  A*33:03-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02  India Central UCBB 0.02384,204
 36  A*24:02-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.02364,204
 37  A*02:01-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.02201,772
 38  A*02:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.02112,492
 39  A*03:01-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02  India East UCBB 0.02082,403
 40  A*11:01-B*38:02-C*07:02-DRB1*04:05-DQB1*05:02  India East UCBB 0.02082,403
 41  A*26:01-B*38:02-C*07:02-DRB1*04:10-DQB1*04:02  India East UCBB 0.02082,403
 42  A*02:01-B*38:02-C*07:02-DRB1*04:10  Japan pop 16 0.016018,604
 43  A*02:03-B*38:02-C*07:02-DRB1*04:06  Hong Kong Chinese BMDR 0.01597,595
 44  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:06:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01565,266
 45  A*02:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.013211,446
 46  A*11:01-B*38:02-C*07:02-DRB1*04:06  Hong Kong Chinese BMDR 0.01217,595
 47  A*02:01-B*38:02-C*07:02-DRB1*04:02-DQB1*03:02  India Central UCBB 0.01194,204
 48  A*02:06-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  India Central UCBB 0.01194,204
 49  A*26:01:01-B*38:02:01-C*07:02:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01105,266
 50  A*02:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:01  India Tamil Nadu 0.01002,492
 51  A*01:01-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 52  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 53  A*02:06:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 54  A*02:07:01-B*38:02:01-C*07:02:01-DRB1*04:04:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 55  A*02:06:01-B*38:02:01-C*07:02:01-DRB1*04:03:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 56  A*11:02:01-B*38:02:01-C*07:02:01-DRB1*04:05:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 57  A*02:03-B*38:02-C*07:02-DRB1*04:05  Hong Kong Chinese BMDR 0.00907,595
 58  A*02:03-B*38:02-C*07:02-DRB1*04:05-DQB1*04:01  India West UCBB 0.00865,829
 59  A*02:11-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  India West UCBB 0.00865,829
 60  A*02:01-B*38:02-C*07:02-DRB1*04:10-DQB1*04:02  India North UCBB 0.00855,849
 61  A*33:03:01-B*38:02:01-C*07:02:01-DRB1*04:05:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00845,266
 62  A*02:07:01-B*38:02:01-C*07:02:01-DRB1*04:04:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00805,266
 63  A*02:01:01-B*38:02:01-C*07:02:01-DRB1*04:05:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00775,266
 64  A*24:02-B*38:02-C*07:02-DRB1*04:03  Hong Kong Chinese BMDR 0.00737,595
 65  A*02:06:01-B*38:02:01-C*07:02:01-DRB1*04:05:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00665,266
 66  A*31:01-B*38:02-C*07:02-DRB1*04:03  Hong Kong Chinese BMDR 0.00617,595
 67  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00525,266
 68  A*02:18-B*38:02-C*07:02-DRB1*04:10  Japan pop 16 0.005018,604
 69  A*24:02-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004611,446
 70  A*24:02-B*38:02-C*07:02-DRB1*04:05-DQB1*04:01  India South UCBB 0.004411,446
 71  A*26:01-B*38:02-C*07:02-DRB1*04:01-DQB1*03:01  India South UCBB 0.004411,446
 72  A*33:03-B*38:02-C*07:02-DRB1*04:06-DQB1*03:02  India South UCBB 0.004411,446
 73  A*74:03-B*38:01-C*07:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00432,492
 74  A*74:03-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.00432,492
 75  A*03:01-B*38:02-C*07:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.004211,446
 76  A*02:03-B*38:02-C*07:02-DRB1*04:05  Poland DKMS 0.002420,653
 77  A*01:01:01-B*38:01:01-C*07:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 78  A*01:01:01-B*38:01:01-C*07:01:01-DRB1*04:08-DQB1*03:01:01  Poland BMR 0.002123,595
 79  A*02:01:01-B*38:01:01-C*07:04:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 80  A*74:03-B*38:01-C*07:02-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00037602,492
 81  A*74:03-B*38:01-C*07:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00037602,492
 82  A*74:03-B*38:02-C*07:02-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00037602,492
 83  A*74:03-B*38:02-C*07:02-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00037602,492

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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