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 165) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 2  A*01:01-B*39:01-C*07:02-DRB1*15:01  Poland DKMS 0.004820,653
 3  A*01:01-B*39:01-C*12:03-DRB1*15:01  Germany DKMS - Austria minority 0.02901,698
 4  A*01:01-B*39:01-C*12:03-DRB1*15:01  Poland DKMS 0.004320,653
 5  A*01:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.04402,411
 6  A*01:01-B*39:01-C*12:04-DRB1*15:01-DQB1*05:01  India Tamil Nadu 0.00000002,492
 7  A*01:01-B*39:01-C*12:04-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.00292,492
 8  A*01:01-B*39:01-C*12:04-DRB1*15:01-DQB1*05:03  India Tamil Nadu 0.00000002,492
 9  A*01:01-B*39:01-DRB1*15:01  Israel Argentina Jews 0.02904,307
 10  A*01:01-B*39:01-DRB1*15:01  Israel USSR Jews 0.001445,681
 11  A*01:01-B*39:01-DRB1*15:01  Israel Tunisia Jews 0.00609,070
 12  A*01:17-B*39:01-DRB1*15:01  Israel Argentina Jews 0.00584,307
 13  A*01:36-B*39:01-DRB1*15:01  Israel Argentina Jews 0.00584,307
 14  A*02:01:01-B*39:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 15  A*02:01:01-B*39:01:01-C*03:03:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00905,266
 16  A*02:01:01-B*39:01:01-C*03:04:01-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 17  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.011323,595
 18  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.006323,595
 19  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.010523,595
 20  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 21  A*02:01-B*39:01-C*02:02-DRB1*15:01  Germany DKMS - United Kingdom minority 0.09601,043
 22  A*02:01-B*39:01-C*03:03-DRB1*15:01  Japan pop 16 0.005018,604
 23  A*02:01-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - France minority 0.03601,406
 24  A*02:01-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.03601,698
 25  A*02:01-B*39:01-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.03927,595
 26  A*02:01-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.151018,604
 27  A*02:01-B*39:01-C*07:02-DRB1*15:01  Poland DKMS 0.003020,653
 28  A*02:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 29  A*02:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 30  A*02:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 31  A*02:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 32  A*02:01-B*39:01-C*12:03-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 33  A*02:01-B*39:01-C*12:03-DRB1*15:01  Germany DKMS - Croatia minority 0.05102,057
 34  A*02:01-B*39:01-C*12:03-DRB1*15:01  Germany DKMS - Portugal minority 0.04301,176
 35  A*02:01-B*39:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.02103,892
 36  A*02:01-B*39:01-DRB1*15:01  Israel USSR Jews 0.011945,681
 37  A*02:01-B*39:01-DRB1*15:01  Israel Poland Jews 0.007013,871
 38  A*02:01-B*39:01-DRB1*15:01  Israel Kavkazi Jews 0.01762,840
 39  A*02:01-B*39:01-DRB1*15:01  Israel Iran Jews 0.01238,153
 40  A*02:02-B*39:01-DRB1*15:01  Israel Tunisia Jews 0.00559,070
 41  A*02:03:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 42  A*02:03:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 43  A*02:03-B*39:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 44  A*02:06-B*39:01-C*03:04-DRB1*15:01  Hong Kong Chinese BMDR 0.01747,595
 45  A*02:06-B*39:01-C*03:04-DRB1*15:01  Japan pop 16 0.010018,604
 46  A*02:06-B*39:01-C*03:04-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 47  A*02:06-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.386018,604
 48  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 49  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.07003,078
 50  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 51  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Hawaiian or other Pacific Islander 0.255311,499
 52  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 53  A*02:06-B*39:01-C*15:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00667,595
 54  A*02:06-B*39:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.02533,892
 55  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 56  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.019223,595
 57  A*03:01-B*39:01-C*03:03-DRB1*15:01  Japan pop 16 0.005018,604
 58  A*03:01-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - Netherlands minority 0.07301,374
 59  A*03:01-B*39:01-C*12:03-DRB1*15:01  Germany DKMS - Croatia minority 0.04602,057
 60  A*03:01-B*39:01-C*12:03-DRB1*15:01  Poland DKMS 0.018120,653
 61  A*03:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.01004,856
 62  A*03:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:48  India Tamil Nadu 0.02012,492
 63  A*03:01-B*39:01-DRB1*15:01  Israel Arab pop 2 0.002512,301
 64  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01955,266
 65  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03425,266
 66  A*11:01-B*39:01-C*03:03-DRB1*15:01  Japan pop 16 0.005018,604
 67  A*11:01-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - Netherlands minority 0.03601,374
 68  A*11:01-B*39:01-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.06357,595
 69  A*11:01-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.063018,604
 70  A*11:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*03:01  Japan pop 17 0.03003,078
 71  A*11:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 72  A*11:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.01943,456,066
 73  A*11:01-B*39:01-C*15:02-DRB1*15:01-DQB1*06:02  India UCBB_Central Indian HLA 0.01194,204
 74  A*11:01-B*39:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.05043,892
 75  A*11:01-B*39:01-DRB1*15:01  Israel USSR Jews 0.001545,681
 76  A*11:01-B*39:01-DRB1*15:01  Israel Arab pop 2 0.002012,301
 77  A*11:02:01-B*39:01:01-C*04:03:01-DRB1*15:01:01-DQB1*06:02:01  Vietnam Kinh 0.4950101
 78  A*11:02:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00705,266
 79  A*11:02-B*39:01-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.05337,595
 80  A*11:02-B*39:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.05603,892
 81  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.000123023,595
 82  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 83  A*24:02:01-B*39:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03911,510
 84  A*24:02:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.013823,595
 85  A*24:02-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - China minority 0.07801,282
 86  A*24:02-B*39:01-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01307,595
 87  A*24:02-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.073018,604
 88  A*24:02-B*39:01-C*07:02-DRB1*15:01  Poland DKMS 0.004620,653
 89  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 90  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 91  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 92  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 93  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 94  A*24:02-B*39:01-C*12:02-DRB1*15:01  Japan pop 16 0.005018,604
 95  A*24:02-B*39:01-C*12:03-DRB1*15:01  Japan pop 16 0.005018,604
 96  A*24:02-B*39:01-C*12:03-DRB1*15:01  Poland DKMS 0.003920,653
 97  A*24:02-B*39:01-C*12:03-DRB1*15:01-DQA1*03:01-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 98  A*24:02-B*39:01-C*12:03-DRB1*15:01-DQB1*06:01  India UCBB_Central Indian HLA 0.01194,204
 99  A*24:02-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 100  A*24:02-B*39:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.03573,892

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 165) 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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