Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 181) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*39:01-DRB1*15:01:01  Taiwan Saisiat 3.000051
 2  A*26:01-B*39:01-DRB1*15:01  New Zealand Polynesians with Full Ancestry 2.381021
 3  A*26:01-B*39:01-DRB1*15:01  New Zealand Polynesians with Admixed History 1.852027
 4  A*31:01:02-B*39:01:01-DRB1*15:01:01  Portugal North 1.100046
 5  A*68:01-B*39:01-DRB1*15:01-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 6  A*11:02:01-B*39:01:01-C*04:03:01-DRB1*15:01:01-DQB1*06:02:01  Vietnam Kinh 0.4950101
 7  A*02:06-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.386018,604
 8  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 9  B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 10  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
 11  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
 12  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
 13  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
 14  A*24:02-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 15  A*24:02-B*39:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Tlalpan 0.1515330
 16  A*02:01-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.151018,604
 17  A*31:01-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.110018,604
 18  A*02:01-B*39:01-C*02:02-DRB1*15:01  Germany DKMS - United Kingdom minority 0.09601,043
 19  A*26:01-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.083018,604
 20  A*24:02-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - China minority 0.07801,282
 21  A*03:01-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - Netherlands minority 0.07301,374
 22  A*24:02-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.073018,604
 23  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
 24  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
 25  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
 26  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
 27  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
 28  A*26:01-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*11:01-B*39:01-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.06357,595
 30  A*11:01-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.063018,604
 31  A*11:02-B*39:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.05603,892
 32  A*11:02-B*39:01-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.05337,595
 33  A*31:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.05201,159
 34  A*02:01-B*39:01-C*12:03-DRB1*15:01  Germany DKMS - Croatia minority 0.05102,057
 35  A*11:01-B*39:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.05043,892
 36  A*02:01-B*39:01-C*12:03-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 37  A*68:01-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 38  A*11:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.04701,999
 39  A*29:01-B*39:01-C*04:01-DRB1*15:01-DQB1*05:02  USA Hispanic pop 2 0.04701,999
 40  A*03:01-B*39:01-C*12:03-DRB1*15:01  Germany DKMS - Croatia minority 0.04602,057
 41  A*01:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02  USA African American pop 4 0.04402,411
 42  A*24:02-B*39:01-C*07:02-DRB1*15:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 43  A*02:01-B*39:01-C*12:03-DRB1*15:01  Germany DKMS - Portugal minority 0.04301,176
 44  A*26:01-B*39:01-C*03:04-DRB1*15:01  Germany DKMS - Portugal minority 0.04301,176
 45  A*31:01-B*39:01-C*12:03-DRB1*15:01  Germany DKMS - Romania minority 0.04101,234
 46  A*32:01-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - Romania minority 0.04101,234
 47  A*02:01-B*39:01-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.03927,595
 48  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
 49  A*02:01-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - France minority 0.03601,406
 50  A*02:01-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.03601,698
 51  A*11:01-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - Netherlands minority 0.03601,374
 52  A*68:01-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - France minority 0.03601,406
 53  A*24:02-B*39:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.03573,892
 54  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
 55  A*31:01:02:01-B*39:01:01:03-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 56  A*68:24-B*39:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 57  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
 58  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
 59  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
 60  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
 61  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
 62  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
 63  A*24:20-B*39:01-C*12:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 64  A*26:01-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
 65  A*31:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 66  A*31:01-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 67  A*31:01-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
 68  A*01:01-B*39:01-C*12:03-DRB1*15:01  Germany DKMS - Austria minority 0.02901,698
 69  A*01:01-B*39:01-DRB1*15:01  Israel Argentina Jews 0.02904,307
 70  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
 71  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
 72  A*26:01:01-B*39:01:01-C*03:03:01-DRB1*15:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 73  A*31:01:02-B*39:01:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 74  A*02:06-B*39:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.02533,892
 75  A*02:01-B*39:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.02103,892
 76  A*01:01-B*39:01-C*12:04-DRB1*15:01-DQB1*06:02  India East UCBB 0.02082,403
 77  A*31:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 78  A*03:01-B*39:01-C*12:03-DRB1*15:01-DQB1*06:48  India Tamil Nadu 0.02012,492
 79  A*24:03-B*39:01-C*12:04-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.02012,492
 80  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
 81  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
 82  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
 83  A*31:01-B*39:01-C*12:03-DRB1*15:01  Poland DKMS 0.019120,653
 84  A*03:01-B*39:01-C*12:03-DRB1*15:01  Poland DKMS 0.018120,653
 85  A*02:01-B*39:01-DRB1*15:01  Israel Kavkazi Jews 0.01762,840
 86  A*02:06-B*39:01-C*03:04-DRB1*15:01  Hong Kong Chinese BMDR 0.01747,595
 87  A*24:02-B*39:01-C*12:04-DRB1*15:01-DQB1*06:01  India West UCBB 0.01725,829
 88  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.017023,595
 89  A*26:03-B*39:01-C*07:02-DRB1*15:01  Japan pop 16 0.016018,604
 90  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
 91  A*32:01-B*39:01-DRB1*15:01  Israel Iraq Jews 0.013513,270
 92  A*02:03-B*39:01-C*12:04-DRB1*15:01-DQB1*06:02  India South UCBB 0.013111,446
 93  A*24:33-B*39:01-C*12:04-DRB1*15:01-DQB1*06:01  India South UCBB 0.013111,446
 94  A*24:02-B*39:01-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01307,595
 95  A*02:01-B*39:01-DRB1*15:01  Israel Iran Jews 0.01238,153
 96  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 97  A*25:01-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.01201,999
 98  A*02:01-B*39:01-DRB1*15:01  Israel USSR Jews 0.011945,681
 99  A*11:01-B*39:01-C*15:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 100  A*24:02-B*39:01-C*12:03-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01194,204

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 181) 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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional