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 100 (from 112) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:94-B*58:01-DRB1*13:01  Malaysia Patani 2.000025
 2  A*11:01:01-B*58:01:01-C*01:02:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 3  A*02:01-B*58:01-DRB1*13:01  Azores Oriental Islands 1.300043
 4  A*29:02-B*58:01-DRB1*13:01  Gaza 1.282042
 5  A*02:05:01-B*58:01:01-C*03:02:01-DRB1*13:01:01-DQB1*05:01:01-DPB1*03:01:01  South African Black 0.3520142
 6  A*30:01:01-B*58:01:01-C*07:18-DRB1*13:01:01-DQB1*06:03:01-DPB1*105:01:01  South African Black 0.3520142
 7  A*33:03-B*58:01-DRB1*13:01  Hong Kong Chinese cord blood registry 0.34523,892
 8  A*02:05-B*58:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*11:01  South Africa Worcester 0.3000159
 9  A*03:01-B*58:01-C*07:02-DRB1*13:01-DQA1*02:01-DQB1*06:02-DPB1*01:01  South Africa Worcester 0.3000159
 10  A*66:01-B*58:01-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*03:03-DPB1*04:01  South Africa Worcester 0.3000159
 11  A*33:03:01-B*58:01:01-C*07:01:02-DRB1*13:01:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.2870174
 12  A*33:03-B*58:01-C*03:02-DRB1*13:01  Hong Kong Chinese BMDR 0.28597,595
 13  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.2810356
 14  A*33:03-B*58:01-C*03:02-DRB1*13:01  Italy pop 5 0.2000975
 15  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.17801,772
 16  A*01:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 17  B*58:01-DRB1*13:01  Italy pop 5 0.1300975
 18  A*02:05-B*58:01-C*07:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.12901,159
 19  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.12022,403
 20  A*33:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:09  Malaysia Peninsular Malay 0.1052951
 21  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.1052951
 22  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09495,266
 23  A*68:01-B*58:01-C*07:01-DRB1*13:01  Germany DKMS - France minority 0.07101,406
 24  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Sri Lanka Colombo 0.0700714
 25  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.06105,829
 26  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.05804,204
 27  A*11:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 28  A*24:02-B*58:01-C*03:02-DRB1*13:01-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 29  A*33:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 30  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.050811,446
 31  A*24:02-B*58:01-C*07:01-DRB1*13:01  Germany DKMS - Spain minority 0.05001,107
 32  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.04992,492
 33  A*03:01-B*58:01-C*07:01-DRB1*13:01  Germany DKMS - United Kingdom minority 0.04801,043
 34  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.04735,849
 35  A*02:01-B*58:01-DRB1*13:01  Hong Kong Chinese cord blood registry 0.04693,892
 36  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04595,266
 37  A*02:05-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 38  A*23:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 39  A*23:01-B*58:01-C*07:01-DRB1*13:01-DQB1*03:03  USA African American pop 4 0.04402,411
 40  A*29:02-B*58:01-C*07:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 41  A*30:02-B*58:01-C*07:01-DRB1*13:01-DQB1*03:03  USA African American pop 4 0.04402,411
 42  A*29:02-B*58:01-C*07:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 43  A*68:01-B*58:01-C*07:01-DRB1*13:01  Germany DKMS - Romania minority 0.04101,234
 44  A*33:03-B*58:01-C*03:02-DRB1*13:01  Germany DKMS - China minority 0.04001,282
 45  A*29:02-B*58:01-C*07:01-DRB1*13:01  Germany DKMS - Netherlands minority 0.03601,374
 46  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03605,266
 47  A*30:02-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 48  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 49  A*02:01-B*58:01-C*03:04-DRB1*13:01  Germany DKMS - Austria minority 0.02901,698
 50  A*03:02-B*58:01-C*03:02-DRB1*13:01  Germany DKMS - Austria minority 0.02901,698
 51  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.02881,734
 52  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.02881,734
 53  A*11:01-B*58:01-C*03:02-DRB1*13:01  Hong Kong Chinese BMDR 0.02757,595
 54  A*11:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.02632,403
 55  A*30:02-B*58:01-C*03:146-DRB1*13:01-DQB1*06:03  India South UCBB 0.021811,446
 56  A*33:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02104,856
 57  A*24:02-B*58:01-C*03:02-DRB1*13:01  Hong Kong Chinese BMDR 0.02097,595
 58  A*31:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 59  A*02:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:09  India Tamil Nadu 0.02012,492
 60  A*33:03-B*58:01-C*03:02-DRB1*13:01  Poland DKMS 0.019920,653
 61  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 62  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01815,266
 63  A*02:06-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.01795,849
 64  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*135:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01525,266
 65  A*01:02-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 66  A*02:20-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.01201,999
 67  A*23:01-B*58:01-C*07:01-DRB1*13:01-DQB1*03:03  USA Hispanic pop 2 0.01201,999
 68  A*68:02-B*58:01-C*07:01-DRB1*13:01-DQB1*03:03  USA Hispanic pop 2 0.01201,999
 69  A*02:03-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 70  A*24:02-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.01135,829
 71  A*33:01-B*58:01-DRB1*13:01  Israel Georgia Jews 0.01134,471
 72  A*02:01-B*58:01-DRB1*13:01  Israel Georgia Jews 0.01124,471
 73  A*02:01-B*58:01-C*03:36-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.01101,772
 74  A*24:02-B*58:01-C*07:01-DRB1*13:01-DQB1*05:01  USA African American pop 4 0.01102,411
 75  A*33:03-B*58:01-C*03:36-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.01101,772
 76  A*68:02-B*58:01-C*07:01-DRB1*13:01-DQB1*05:01  USA African American pop 4 0.01102,411
 77  A*03:01-B*58:01-DRB1*13:01  Israel Ashkenazi Jews pop 3 0.01084,625
 78  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01025,266
 79  A*02:06-B*58:01-C*02:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 80  A*26:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 81  A*33:03:01-B*58:01:01-C*03:225-DRB1*13:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 82  A*02:11-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.008811,446
 83  A*02:05-B*58:01-DRB1*13:01  Israel USA Jews 0.00886,058
 84  A*11:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00875,849
 85  A*02:11-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 86  A*02:20-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 87  A*03:01:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*104:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 88  A*23:01-B*58:01-C*07:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 89  A*03:02-B*58:01-DRB1*13:01  Israel Ethiopia Jews 0.00845,928
 90  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00735,266
 91  A*24:02:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00665,266
 92  A*11:01-B*58:01-DRB1*13:01  Israel Ashkenazi Jews pop 3 0.00544,625
 93  A*02:06-B*58:01-C*03:02-DRB1*13:01  Hong Kong Chinese BMDR 0.00547,595
 94  A*02:01-B*58:01-C*01:02-DRB1*13:01  Hong Kong Chinese BMDR 0.00537,595
 95  A*24:02-B*58:01-C*07:01-DRB1*13:01  Poland DKMS 0.004820,653
 96  A*68:01-B*58:01-C*07:01-DRB1*13:01  Poland DKMS 0.004820,653
 97  A*24:07-B*58:01-C*07:18-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 98  A*02:02-B*58:01-DRB1*13:01  Israel USA Jews 0.00416,058
 99  A*01:01-B*58:01-C*03:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.00414,204
 100  A*68:01-B*58:01-DRB1*13:01  Israel Arab pop 2 0.004112,301

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 112) 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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