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 90 (from 90) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*41:02-DRB1*13:03-DQB1*03:01  Tunisia Gabes 1.570095
 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*02:01-B*41:02-C*07:01-DRB1*13:03-DQA1*05:01-DQB1*03:01  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*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.76041,075
 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*66:01:01-B*41:02:01-C*17:01-DRB1*13:03:02-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 8  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA NMDP Caribean Indian 0.444814,339
 9  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
 10  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
 11  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
 12  A*02:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 13  A*31:01:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 14  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
 15  A*02:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.327923,595
 16  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
 17  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.321923,595
 18  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.30804,335
 19  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
 20  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  Italy pop 5 0.2900975
 21  A*03:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2730192
 22  A*01:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 23  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
 24  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:01  Russia Karelia 0.23061,075
 25  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:02  Russia Karelia 0.22581,075
 26  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:02  Nicaragua Managua 0.2165339
 27  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA NMDP Caribean Indian 0.194914,339
 28  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.14404,856
 29  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA NMDP American Indian South or Central America 0.14255,926
 30  A*02:01:01-B*41:02:01-C*17:01:01-DRB1*13:03:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 31  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.14001,999
 32  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.10304,856
 33  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
 34  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.09761,075
 35  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 36  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 37  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 38  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 39  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 40  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 41  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
 42  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.06293,456,066
 43  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.05651,075
 44  A*31:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05601,075
 45  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.04943,456,066
 46  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.04573,456,066
 47  A*68:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 48  A*80:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 49  A*24:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.040523,595
 50  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.04023,456,066
 51  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.03904,856
 52  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
 53  A*25:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 54  A*31:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 55  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
 56  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
 57  A*01:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India Central UCBB 0.02384,204
 58  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India Central UCBB 0.02384,204
 59  A*23:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 60  A*29:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 61  A*29:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India East UCBB 0.02082,403
 62  A*01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.020823,595
 63  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01963,456,066
 64  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01783,456,066
 65  A*26:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.017223,595
 66  A*01:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India North UCBB 0.01715,849
 67  A*03:02-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India North UCBB 0.01715,849
 68  A*31:01:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.013123,595
 69  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01283,456,066
 70  A*11:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.012623,595
 71  A*02:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India Central UCBB 0.01194,204
 72  A*26:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 73  A*68:02-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.01102,411
 74  A*74:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.01102,411
 75  A*02:05-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 76  A*32:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India West UCBB 0.00865,829
 77  A*68:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India West UCBB 0.00865,829
 78  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India North UCBB 0.00855,849
 79  A*23:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.007623,595
 80  A*25:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.005523,595
 81  A*03:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004723,595
 82  A*03:02-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India South UCBB 0.004411,446
 83  A*33:03-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India South UCBB 0.004411,446
 84  A*29:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004423,595
 85  A*68:01:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004323,595
 86  A*02:17:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004223,595
 87  A*11:01:01-B*41:02:01-C*12:02:02-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 88  A*25:01:01-B*41:02:01-C*07:04:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 89  A*32:01:01-B*41:02:01-C*02:02:02-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 90  A*66:17-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.001623,595

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).




   

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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