Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 89 (from 89) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*66-B*41-DRB1*13:03-DQB1*03:01  Peru Lamas City Lama 3.600083
 2  A*02:01-B*41:02-DRB1*13:03-DQB1*03:01  Tunisia Gabes 1.570095
 3  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
 4  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
 5  A*02:01-B*41:01-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.9585336
 6  A*02:01-B*41:02-C*17:03-DRB1*13:03-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 7  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.76041,075
 8  A*33:03:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5083192
 9  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
 10  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA NMDP Caribean Indian 0.444814,339
 11  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
 12  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
 13  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
 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*31:01:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 16  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
 17  A*02:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.327923,595
 18  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
 19  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.321923,595
 20  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.30804,335
 21  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
 22  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  Italy pop 5 0.2900975
 23  A*03:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2730192
 24  A*01:01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 25  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
 26  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:01  Russia Karelia 0.23061,075
 27  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:02  Russia Karelia 0.22581,075
 28  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
 29  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA NMDP Caribean Indian 0.194914,339
 30  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.14404,856
 31  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
 32  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
 33  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.14001,999
 34  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.10304,856
 35  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
 36  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.09761,075
 37  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 38  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 39  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 40  A*01-B*41-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 41  A*66-B*41-DRB1*13:03-DQA1*05:05-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 42  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 43  A*66:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 44  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 45  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
 46  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
 47  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.05651,075
 48  A*24:02-B*41:01-C*07:01-DRB1*13:03-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05651,075
 49  A*31:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05601,075
 50  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
 51  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
 52  A*68:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 53  A*80:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 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*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
 56  A*03:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.03904,856
 57  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
 58  A*25:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 59  A*31:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 60  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 61  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
 62  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
 63  A*01:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India UCBB_Central Indian HLA 0.02384,204
 64  A*66:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India UCBB_Central Indian HLA 0.02384,204
 65  A*23:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 66  A*29:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 67  A*01:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.020823,595
 68  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
 69  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
 70  A*26:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.017223,595
 71  A*31:01:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.013123,595
 72  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
 73  A*11:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.012623,595
 74  A*02:01-B*41:02-C*17:03-DRB1*13:03-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 75  A*26:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 76  A*68:02-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.01102,411
 77  A*74:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.01102,411
 78  A*02:05-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 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*29:02:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004423,595
 83  A*68:01:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004323,595
 84  A*02:17:02-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004223,595
 85  A*02:01:01-B*41:01:01-C*07:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 86  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
 87  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
 88  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
 89  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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