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 82 (from 82) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 2  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 3  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.24521,734
 4  A*32:01-B*51:01-C*14:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 5  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 6  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 7  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.12204,856
 8  A*24:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.09804,856
 9  A*11:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 10  A*68:01-B*51:01-C*14:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 11  A*01:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.05832,492
 12  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05651,075
 13  A*31:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05641,075
 14  A*68:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.05545,829
 15  A*33:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 16  A*74:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 17  A*02:11-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.045911,446
 18  A*02:06-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 19  A*24:20-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 20  A*68:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04404,856
 21  A*31:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 22  A*68:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 23  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.03493,456,066
 24  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.03463,456,066
 25  A*32:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.03425,849
 26  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 27  A*25:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 28  A*26:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*02:01:01:01-B*51:01:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 30  A*03:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03304,856
 31  A*24:02-B*51:01-C*14:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 32  A*24:20-B*51:01-C*14:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 33  A*26:01-B*51:01-C*14:02-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 34  A*31:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02904,856
 35  A*24:02:01-B*51:01:01-C*14:02:07-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 36  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 37  A*74:02:01-B*51:01:02-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 38  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.027223,595
 39  A*11:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02504,856
 40  A*03:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.02425,849
 41  A*32:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02384,204
 42  A*68:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02384,204
 43  A*01:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02304,856
 44  A*29:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 45  A*31:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 46  A*32:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 47  A*24:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.01972,403
 48  A*32:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01945,829
 49  A*11:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01784,204
 50  A*24:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01615,849
 51  A*03:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01554,204
 52  A*33:03-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01544,204
 53  A*24:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01495,829
 54  A*68:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01495,849
 55  A*33:03-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.013711,446
 56  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.013023,595
 57  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.012723,595
 58  A*66:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 59  A*69:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.01201,999
 60  A*02:06-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 61  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01173,456,066
 62  A*31:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01165,829
 63  A*24:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.010911,446
 64  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01003,456,066
 65  A*26:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 66  A*11:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00985,849
 67  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00965,849
 68  A*26:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00885,829
 69  A*24:17-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 70  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.007923,595
 71  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.007323,595
 72  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.006411,446
 73  A*03:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.005811,446
 74  A*31:01:02-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005723,595
 75  A*26:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005223,595
 76  A*11:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004711,446
 77  A*32:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 78  A*32:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004011,446
 79  A*01:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.003811,446
 80  A*03:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.003611,446
 81  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002223,595
 82  A*24:02-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.00029081,463

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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