Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 131) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 2  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003323,595
 3  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 4  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 5  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.34501,159
 6  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.08342,492
 7  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.083211,446
 8  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.02735,829
 9  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 10  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.06134,204
 11  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 12  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 13  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.040423,595
 14  A*02:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 15  A*02:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.5900975
 16  A*02:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 17  A*02:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01473,456,066
 18  A*02:03-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.004211,446
 19  A*02:03-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 20  A*02:16-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 21  A*02:20-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.00605,829
 22  A*02:744-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 23  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.134123,595
 24  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 25  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05304,856
 26  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.023911,446
 27  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.06352,403
 28  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.03015,829
 29  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.04565,849
 30  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.08702,411
 31  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA NMDP Black South or Central American 0.11794,889
 32  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.03723,456,066
 33  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.11801,075
 34  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01773,456,066
 35  A*03:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.014623,595
 36  A*03:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04204,856
 37  A*03:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.03425,849
 38  A*03:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.00885,829
 39  A*03:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.008811,446
 40  A*11:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5208192
 41  A*11:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*11:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 42  A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 43  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.104823,595
 44  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.2101714
 45  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.04081,463
 46  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.28804,856
 47  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 48  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.07692,492
 49  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.083611,446
 50  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.15805,849
 51  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.07685,829
 52  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.09394,204
 53  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Indian 0.9225271
 54  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 55  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 56  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01533,456,066
 57  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.07681,075
 58  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.03323,456,066
 59  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01093,456,066
 60  A*11:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 61  A*23:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 62  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.05431,510
 63  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 64  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 65  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.7020356
 66  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.011523,595
 67  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 68  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 69  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.22404,856
 70  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 71  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02462,492
 72  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.046711,446
 73  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.09065,829
 74  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.08794,204
 75  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Iran Gorgan 2.340064
 76  A*24:03-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 77  A*24:03-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 78  A*24:03-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 79  A*24:07-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.005811,446
 80  A*24:07-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 81  A*24:11N-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 82  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 83  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.009823,595
 84  A*26:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 85  A*26:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.07504,856
 86  A*26:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 87  A*26:08-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000979723,595
 88  A*29:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 89  A*30:04-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 90  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006223,595
 91  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*11:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 92  A*31:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 93  A*31:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01874,204
 94  A*31:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.010311,446
 95  A*31:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 96  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 97  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.5620356
 98  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.009623,595
 99  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 100  A*32:01:01-B*35:01:10-C*04:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119

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 131) 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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