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 127) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01-B*51:01-C*15:06-DRB1*14:01-DQA1*01:01-DQB1*05:01  Kosovo 0.4030124
 2  A*24:02-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Indian 0.3690271
 3  A*31-B*51-C*15-DRB1*14-DQB1*05  Albania pop 2 0.3400432
 4  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 5  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 6  A*03:01:01-B*51:01:01-C*15:04:01-DRB1*14:04:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 7  A*02:06:01-B*51:01:01-C*15:02:01:01-DRB1*14:54:01-DQB1*05:02:01  Russia Bashkortostan, Tatars 0.2604192
 8  A*11:01-B*51:02-C*15:02-DRB1*14:01-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 9  A*01:01:01-B*51:01:01-C*15:02:01-DRB1*14:01:01-DQB1*05:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 10  A*01:01-B*51:01-C*15:02-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*13:01  Nicaragua Managua 0.2165339
 11  A*02:07:01-B*51:02:01-C*15:02:01-DRB1*14:54:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 12  A*03:01-B*51:01-C*15:02-DRB1*14:15-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 13  A*31:18-B*51:01-C*15:02-DRB1*14:07-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 14  A*31:12-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.1689296
 15  A*02:01-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03  Italy pop 5 0.1400975
 16  A*29:02-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03  Germany DKMS - Italy minority 0.08601,159
 17  A*01:01-B*51:01-C*15:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.084211,446
 18  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.07741,734
 19  A*31:01-B*51:01-C*15:02-DRB1*14:07-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 20  A*68:01-B*51:01-C*15:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*03:01  Sri Lanka Colombo 0.0700714
 21  A*02:01-B*51:01-C*15:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 22  A*26:05-B*51:01-C*15:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 23  A*31:01-B*51:01-C*15:02-DRB1*14:07-DQB1*05:03  India South UCBB 0.068711,446
 24  A*68:01-B*51:01-C*15:04-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 25  A*11-B*51-C*15-DRB1*14-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.06571,743
 26  A*24-B*51-C*15-DRB1*14-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.06571,743
 27  A*01:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.06365,829
 28  A*01:01-B*51:01-C*15:02-DRB1*14:07-DQB1*05:03  India Tamil Nadu 0.06022,492
 29  A*31:01-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03  India Tamil Nadu 0.05452,492
 30  A*11:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 31  A*32:01-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03  USA Hispanic pop 2 0.04701,999
 32  A*02:01-B*51:01-C*15:02-DRB1*14:05-DQB1*05:03  USA Asian pop 2 0.04401,772
 33  A*11:02-B*51:02-C*15:02-DRB1*14:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 34  A*24:02-B*51:02-C*15:02-DRB1*14:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 35  A*26:02-B*51:02-C*15:02-DRB1*14:01-DQB1*05:02  USA Asian pop 2 0.04401,772
 36  A*24:02-B*51:01-C*15:04-DRB1*14:04-DQB1*05:03  India North UCBB 0.04275,849
 37  A*11:01-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.04104,856
 38  A*26:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.04012,492
 39  A*31:01-B*51:01-C*15:02-DRB1*14:07-DQB1*05:03  India Tamil Nadu 0.04012,492
 40  A*33:03-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.04012,492
 41  A*02:13-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03  Colombia Bogotá Cord Blood 0.03421,463
 42  A*01:01-B*51:01-C*15:32Q-DRB1*14:05-DQB1*05:03  India Central UCBB 0.03404,204
 43  A*02:20-B*51:01-C*15:02-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*11:01-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*23-B*51-C*15-DRB1*14-DQA1*01-DQB1*05  Spain, Castilla y Leon, Northwest, 0.03281,743
 46  A*02:06-B*51:01-C*15:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 47  A*11:01-B*51:01-C*15:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 48  A*24:02-B*51:02-C*15:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 49  A*31:01-B*51:02-C*15:02-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*02:02-DPB1*02:01  Japan pop 17 0.03003,078
 50  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.02941,734
 51  A*24:02:01-B*51:02:01-C*15:02:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 52  A*33:03:01-B*51:01:01-C*15:02:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 53  A*31:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.028111,446
 54  A*02:01-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.02804,856
 55  A*24:02-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.02692,403
 56  A*26:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.02664,204
 57  A*68:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.02485,829
 58  A*31:12-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.02384,204
 59  A*68:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.02374,204
 60  A*23:01-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.02104,856
 61  A*26:01-B*51:01-C*15:02-DRB1*14:07-DQB1*05:03  Germany DKMS - Turkey minority 0.02104,856
 62  A*31:01-B*51:01-C*15:02-DRB1*14:01-DQB1*05:02  Germany DKMS - Turkey minority 0.02104,856
 63  A*02:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 64  A*02:01-B*51:01-C*15:02-DRB1*14:54-DQB1*05:03  India East UCBB 0.02082,403
 65  A*02:03-B*51:06-C*15:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 66  A*11:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.02082,403
 67  A*26:01-B*51:01-C*15:02-DRB1*14:54-DQB1*05:03  India East UCBB 0.02082,403
 68  A*03:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02012,492
 69  A*11:01-B*51:01-C*15:02-DRB1*14:07-DQB1*05:03  India Tamil Nadu 0.02012,492
 70  A*24:17-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02012,492
 71  A*32:01-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03  India Tamil Nadu 0.02012,492
 72  A*68:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02012,492
 73  A*24:02-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.019211,446
 74  A*03:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.01865,849
 75  A*02:06-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.01715,849
 76  A*03:01-B*51:01-C*15:04-DRB1*14:04-DQB1*05:03  India South UCBB 0.016911,446
 77  A*03:02-B*51:01-C*15:02-DRB1*14:54-DQB1*05:03  India North UCBB 0.01695,849
 78  A*11:01-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03-DPB1*03:01  Germany DKMS - German donors 0.01433,456,066
 79  A*11:01-B*51:01-C*15:32Q-DRB1*14:05-DQB1*05:03  India Central UCBB 0.01364,204
 80  A*11:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.01214,204
 81  A*02:06-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.01194,204
 82  A*03:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.01194,204
 83  A*11:01-B*51:01-C*15:04-DRB1*14:04-DQB1*05:03  India Central UCBB 0.01194,204
 84  A*31:01-B*51:01-C*15:32Q-DRB1*14:05-DQB1*05:03  India Central UCBB 0.01194,204
 85  A*68:01-B*51:01-C*15:02-DRB1*14:15-DQB1*05:03  India Central UCBB 0.01194,204
 86  A*02:01-B*51:01-C*15:02-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01164,204
 87  A*68:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.011011,446
 88  A*33:03-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.010811,446
 89  A*02:01-B*51:01-C*15:02-DRB1*14:07-DQB1*05:03  India Tamil Nadu 0.01002,492
 90  A*01-B*51-C*15-DRB1*14-DQB1*05-DPB1*03  Norway ethnic Norwegians 0.01004,510
 91  A*02:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  Germany DKMS - Turkey minority 0.01004,856
 92  A*02:06-B*51:01-C*15:02-DRB1*14:01-DQB1*05:02  Germany DKMS - Turkey minority 0.01004,856
 93  A*03:01-B*51:01-C*15:02-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.01004,856
 94  A*03-B*51-C*15-DRB1*14-DQB1*05-DPB1*02  Norway ethnic Norwegians 0.01004,510
 95  A*32-B*51-C*15-DRB1*14-DQB1*05-DPB1*11  Norway ethnic Norwegians 0.01004,510
 96  A*69:01-B*51:01-C*15:06-DRB1*14:01-DQB1*05:03  Germany DKMS - Turkey minority 0.01004,856
 97  A*01:01-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.00975,849
 98  A*31:01-B*51:01-C*15:02-DRB1*14:54-DQB1*05:03  India Central UCBB 0.00924,204
 99  A*03:02-B*51:01-C*15:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.00875,829
 100  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.00861,734

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 127) 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