Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 171) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01:01-B*15:10:01-C*17:03:01-DRB1*13:03:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Black 1.470668
 2  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 1.18161,510
 3  A*31:01-B*15:17-C*17:03-DRB1*03:01-DQA1*05:05-DQB1*02:01  United Arab Emirates Abu Dhabi 0.960052
 4  A*02:01-B*41:02-C*17:03-DRB1*13:03-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 5  A*01:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 6  A*33:03:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5083192
 7  A*66:01-B*42:02-C*17:03-E*01:03:02-F*01:01:01-G*01:01-DRB1*16:01-DQA1*01:02-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 8  A*02:01:01-B*35:02:01-C*17:03:01-DRB1*04:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 9  A*02:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 10  A*02:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 11  A*03:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 12  A*26:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*88:01  Russian Federation Vologda Region 0.4202119
 13  A*32:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 14  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 15  A*02:01:01:01-B*44:02:01-C*17:03-DRB1*13:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 16  A*31:01:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 17  A*66:01-B*41:02-C*17:03-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 18  A*26:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 19  A*31-B*41-C*17:03-DRB1*11:04-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 20  A*02:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.327923,595
 21  A*02:01:01-B*07:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 22  A*24:02:01-B*41:02:01-C*17:03:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 23  A*66:01:01-B*41:02:01-C*17:03:01-DRB1*08:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*104:01:01  Russia Belgorod region 0.3268153
 24  A*66:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*06:01  Russia Belgorod region 0.3268153
 25  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.321923,595
 26  A*01:01:01-B*35:01:01-C*17:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 27  A*02:01:01-B*41:02:01-C*17:03:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 28  A*29:02:01-B*41:02:01-C*17:03:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 29  A*03:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.30361,510
 30  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  Italy pop 5 0.2900975
 31  A*03:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2730192
 32  A*01:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 33  A*11:01:01:01-B*41:02:01-C*17:03-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 34  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.23181,510
 35  A*02:01-B*41:02-C*17:03-DRB1*13:03  Italy pop 5 0.2000975
 36  A*66:01-B*41:02-C*17:03-DRB1*13:03  Italy pop 5 0.2000975
 37  A*02:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 38  A*24:02:01-B*41:02:01-C*17:03:01-DRB1*10:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 39  A*02:01:01-B*41:02:01-C*17:03  England Blood Donors of Mixed Ethnicity 0.1927519
 40  A*02:01-B*41:02-C*17:03  Italy pop 5 0.1800975
 41  A*66:01-B*41:02-C*17:03  Italy pop 5 0.1800975
 42  B*41:02-C*17:03  Italy pop 5 0.1800975
 43  A*66:01:01-B*41:02:01-C*17:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.13251,510
 44  A*02:01-C*17:03  Italy pop 5 0.1200975
 45  A*32:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 46  A*66:01:01-B*41:02:01-C*17:03  England Blood Donors of Mixed Ethnicity 0.0963519
 47  A*03:01-B*41:02-C*17:03  Italy pop 5 0.0900975
 48  A*03:01-C*17:03  Italy pop 5 0.0800975
 49  A*24:02-C*17:03  Italy pop 5 0.0800975
 50  A*66:01-C*17:03  Italy pop 5 0.0800975
 51  B*35:02-C*17:03  Italy pop 5 0.0700975
 52  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 53  A*23:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 54  A*24:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.040523,595
 55  A*11:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03801,510
 56  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03741,510
 57  A*01:01:01:01-B*41:02:01-C*17:03-DRB1*03:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 58  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 59  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*11:03-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 60  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*15:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 61  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 62  A*11:01:01:01-B*41:02:01-C*17:03-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 63  A*11:01:01:01-B*41:02:01-C*17:03-DRB1*13:03-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 64  A*23:01:01-B*41:02:01-C*17:03-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 65  A*23:01:01-B*41:02:01-C*17:03-DRB1*11:04-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 66  A*26:01:01-B*41:02:01-C*17:03-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 67  A*26:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 68  A*26:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 69  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.02881,510
 70  A*01:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India UCBB_Central Indian HLA 0.02384,204
 71  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India UCBB_Central Indian HLA 0.02384,204
 72  A*01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.020823,595
 73  A*26:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.017223,595
 74  A*66:01:01-B*41:02:01-C*17:03-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.014923,595
 75  A*66:01:01-B*41:02:01-C*17:03-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.014223,595
 76  A*31:01:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.013123,595
 77  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*02:01:01  Poland BMR 0.012723,595
 78  A*11:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.012623,595
 79  A*02:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*02:01:01  Poland BMR 0.012623,595
 80  A*01:01-B*41:02-C*17:03-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 81  A*02:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 82  A*03:02-B*41:02-C*17:03-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01194,204
 83  A*66:01:01-B*41:02:01-C*17:03-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.011623,595
 84  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*02:02:01  Poland BMR 0.010623,595
 85  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:02:01  Poland BMR 0.010623,595
 86  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:03:01  Poland BMR 0.010623,595
 87  A*66:01:01-B*41:02:01-C*17:03-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.009723,595
 88  A*23:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.007623,595
 89  A*02:01:01-B*41:02:01-C*17:03-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.007523,595
 90  A*02:01:01-B*41:02:01-C*17:03-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006923,595
 91  A*02:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:02:01  Poland BMR 0.006623,595
 92  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*04:02:01  Poland BMR 0.006423,595
 93  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*05:03:01  Poland BMR 0.006423,595
 94  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005623,595
 95  A*25:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.005523,595
 96  A*66:01:01-B*41:02:01-C*17:03-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.005423,595
 97  A*01:01:01-B*41:02:01-C*17:03-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005323,595
 98  A*02:01:01-B*41:02:01-C*17:03-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.005223,595
 99  A*30:04:01-B*40:01:02-C*17:03:01-DRB1*13:03:01-DPB1*10:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00515,266
 100  A*02:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*02:02:01  Poland BMR 0.005123,595

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 171) 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.
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