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 137) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01-B*18:01-DRB1*11:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 2.500060
 2  A*01:01-B*18:01-DRB1*11:01-DQB1*03:01  Iran Tabriz Azeris 1.546497
 3  A*02:52-B*18:01-DRB1*11:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 0.833360
 4  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 5  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  England North West 0.7000298
 6  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.6536153
 7  A*02:01-B*18:01-DRB1*11:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 8  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.50401,159
 9  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*11:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*02:01:02-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 10  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*02:07-DPB1*04:01:01  Russia Belgorod region 0.3268153
 11  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 12  A*23:01-B*18:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 13  A*25:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 14  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 15  A*25:01-B*18:01-C*12:03-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Nicaragua Managua 0.2165339
 16  A*11:01-B*18:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 17  A*26:01-B*18:01-DRB1*11:01-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 18  A*01:01-B*18:01-C*04:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 19  A*33:03:01-B*18:01:01-C*07:02:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 20  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.13251,510
 21  A*25:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 22  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.117223,595
 23  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.11304,856
 24  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.11261,075
 25  A*03:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.10251,463
 26  A*24:02-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.10251,463
 27  A*32:01:01-B*18:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 28  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.095223,595
 29  A*03:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 30  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.07523,456,066
 31  A*03:01-B*18:01-C*12:05-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.07204,856
 32  A*33:03-B*18:01-C*07:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 33  A*24:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.06942,403
 34  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 35  A*24:02-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 36  A*25:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 37  A*02:01:01:01-B*18:01:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 38  A*11:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.06001,159
 39  A*26:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 40  A*11:01-B*18:01-C*12:05-DRB1*11:01-DQB1*03:01  India North UCBB 0.05135,849
 41  A*02:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04801,159
 42  A*03:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04764,204
 43  A*11:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04714,204
 44  A*03:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04604,856
 45  A*01:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 46  A*01:01-B*18:01-C*12:05-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 47  A*11:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 48  A*01:01-B*18:01-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 49  A*02:01-B*18:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 50  A*26:01-B*18:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 51  A*30:02-B*18:01-C*05:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 52  A*11:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.04162,403
 53  A*24:02-B*18:01-C*01:02-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 54  A*01:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 55  A*02:01-B*18:01-C*07:36-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 56  A*02:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 57  A*03:01-B*18:01-C*12:05-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 58  A*24:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 59  A*02:01:01:01-B*18:01:01-C*07:01:01-DRB1*11:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 60  A*02:01:01:01-B*18:01:01-C*12:03:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 61  A*24:02:01-B*18:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 62  A*32:01:01-B*18:01:01-C*02:02:02-DRB1*11:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 63  A*24:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.03213,456,066
 64  A*01:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.03085,849
 65  A*03:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.03065,849
 66  A*24:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03004,856
 67  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.02993,456,066
 68  A*24:02:01-B*18:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.027823,595
 69  A*24:02-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02474,204
 70  A*11:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.02301,999
 71  A*24:02-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.02301,999
 72  A*03:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.02255,829
 73  A*02:11-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 74  A*11:01-B*18:01-C*12:05-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 75  A*26:01-B*18:01-C*04:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 76  A*32:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 77  A*11:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02072,492
 78  A*68:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01904,856
 79  A*26:01-B*18:01-C*12:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.01845,829
 80  A*24:02-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01804,856
 81  A*02:11-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.01765,829
 82  A*01:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01704,856
 83  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.015811,446
 84  A*25:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01503,456,066
 85  A*32:01:01-B*18:01:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.014823,595
 86  A*03:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01473,456,066
 87  A*02:06-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India East UCBB 0.01382,403
 88  A*03:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.01315,849
 89  A*24:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.012811,446
 90  A*32:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01274,204
 91  A*01:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 92  A*29:01-B*18:01-C*06:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 93  A*33:03-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 94  A*24:02-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01163,456,066
 95  A*03:01:01-B*18:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.011523,595
 96  A*02:01-B*18:01-C*05:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 97  A*29:02-B*18:01-C*05:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 98  A*32:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01104,856
 99  A*32:01-B*18:01-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.01025,849
 100  A*02:01-B*18:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01023,456,066

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 137) 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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