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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Displaying 1 to 100 (from 108) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Italy pop 5 0.5800975
 2  A*11:01:01:01-B*35:03:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Russia Bashkortostan, Tatars 0.5208192
 3  A*02:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Italy pop 5 0.4400975
 4  A*24:02:01-B*48:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03  Russia Bashkortostan, Bashkirs 0.4167120
 5  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 6  A*23:01:01-B*50:02-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.3891521
 7  A*11:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.37604,335
 8  A*68:03-B*35:16-C*04:01-DRB1*14:54-DQB1*05:03  Mexico Mexico City Mestizo population 0.3497143
 9  B*35:16-C*04:01-DRB1*14:54-DQB1*05:03  Mexico Mexico City Mestizo population 0.3497143
 10  A*02:01:01-B*15:03-C*04:01:01-DRB1*14:54:01-DQA1*02:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 11  A*01:01:01-B*50:02-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 12  A*24:02-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India Northeast UCBB 0.1689296
 13  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.141523,595
 14  A*25:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  Italy pop 5 0.1400975
 15  A*30:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Italy pop 5 0.1400975
 16  A*03:02-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.10295,829
 17  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.06961,510
 18  A*03:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.06824,204
 19  A*11:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.05364,204
 20  A*11:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.04764,204
 21  A*03:02-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.04634,204
 22  A*01:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.04604,204
 23  A*11:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.04535,829
 24  A*11:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India East UCBB 0.04372,403
 25  A*01:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.04265,829
 26  A*31:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India East UCBB 0.04162,403
 27  A*24:02-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.03815,849
 28  A*02:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*03:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 30  A*03:01-B*35:08-C*04:01-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 31  A*11:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 32  A*01:01:01:01-B*35:08:01-C*04:01:01-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 33  A*11:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*14:54-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 34  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.031823,595
 35  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.030123,595
 36  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.026223,595
 37  A*11:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.02605,849
 38  A*02:06-B*15:18-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.02565,849
 39  A*03:02-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.02565,849
 40  A*33:03-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.02465,829
 41  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.023223,595
 42  A*11:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.022211,446
 43  A*33:03-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India East UCBB 0.02092,403
 44  A*01:01-B*07:02-C*04:01-DRB1*14:54-DQB1*05:03  India East UCBB 0.02082,403
 45  A*24:07-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India East UCBB 0.02082,403
 46  A*68:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India East UCBB 0.02082,403
 47  A*02:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India East UCBB 0.01872,403
 48  A*02:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.01725,829
 49  A*31:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.01725,829
 50  A*02:06-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.01705,849
 51  A*03:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.01565,849
 52  A*03:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.01355,829
 53  A*02:11-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01194,204
 54  A*03:01-B*51:01-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01194,204
 55  A*24:02-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01194,204
 56  A*29:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India Central UCBB 0.01194,204
 57  A*03:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.01185,849
 58  A*32:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.01155,829
 59  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.011523,595
 60  A*24:02-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.01135,829
 61  A*68:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.01085,849
 62  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.010823,595
 63  A*68:01:01-B*35:03:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.010623,595
 64  A*24:02:01-B*35:08:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.009323,595
 65  A*33:03-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.00925,829
 66  A*02:09-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.008711,446
 67  A*02:11-B*53:01-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.008711,446
 68  A*03:02-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.008711,446
 69  A*01:01-B*40:06-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.00865,829
 70  A*02:11-B*15:18-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.00865,829
 71  A*31:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.00865,829
 72  A*32:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.00865,829
 73  A*02:11-B*15:18-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.00855,849
 74  A*33:03-B*56:01-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.00855,849
 75  A*68:01-B*15:18-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.00855,849
 76  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.007823,595
 77  A*33:03-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.00745,849
 78  A*68:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.007411,446
 79  A*24:02-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.006811,446
 80  A*26:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.00645,849
 81  A*02:06-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.00615,849
 82  A*31:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.005211,446
 83  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.005023,595
 84  A*01:01-B*27:05-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446
 85  A*02:01-B*51:01-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446
 86  A*11:01-B*56:01-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.004411,446
 87  A*23:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.004323,595
 88  A*01:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India West UCBB 0.00435,829
 89  A*03:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.004311,446
 90  A*31:01-B*35:01-C*04:01-DRB1*14:54-DQB1*05:03  India South UCBB 0.004311,446
 91  A*24:02:01-B*35:02:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.004223,595
 92  A*32:01-B*35:03-C*04:01-DRB1*14:54-DQB1*05:03  India North UCBB 0.00425,849
 93  A*32:01:01-B*44:03:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.004223,595
 94  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.003523,595
 95  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002523,595
 96  A*01:01:01-B*35:08:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002323,595
 97  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002223,595
 98  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 99  A*01:01:01-B*44:02:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 100  A*02:06:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595

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 108) 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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