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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 138) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*26:08-B*51:01:01-DRB1*16:01:01  Portugal North 1.100046
 2  A*26:08-B*57:01-C*06:02-DRB1*01:01  Brazil Vale do Ribeira Quilombos 1.0417144
 3  A*26:08-B*51:01-DRB1*11:01-DQB1*03:01  Iran Yazd 0.892956
 4  A*26:08-G*01:01  Ecuador Amerindians 0.793763
 5  A*26:08:01-B*15:01:01-C*03:03:01-DRB1*14:54:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*57:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 6  A*26:08:01-B*15:01:01-C*06:02:01-DRB1*01:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 7  A*26:08-B*38:01:01-C*07:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 8  A*26:08-B*27:05-C*04:01-DRB1*04:01  Italy pop 5 0.1000975
 9  A*26:08-B*51:01-C*05:01-DRB1*11:02  Italy pop 5 0.1000975
 10  A*26:08-B*51:01-C*14:02-DRB1*16:01  Italy pop 5 0.1000975
 11  A*26:08-B*27:05-C*04:01  Italy pop 5 0.0900975
 12  A*26:08-B*51:01-C*05:01  Italy pop 5 0.0900975
 13  A*26:08-B*51:01-C*14:02  Italy pop 5 0.0900975
 14  A*26:08-C*04:01  Italy pop 5 0.0800975
 15  A*26:08-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 16  A*26:08-B*15:01  USA Hispanic pop 2 0.05001,999
 17  A*26:08-B*35:01-C*04:01-DRB1*04:02  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 18  A*26:08-B*35:01-C*04:01-DRB1*04:02  Germany DKMS - Croatia minority 0.04902,057
 19  A*26:08-B*45:01-C*06:02-DRB1*15:01  Germany DKMS - Croatia minority 0.04902,057
 20  A*26:08-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - United Kingdom minority 0.04801,043
 21  A*26:08-B*40:02-C*02:02-DRB1*13:01  Germany DKMS - United Kingdom minority 0.04801,043
 22  A*26:08-B*15:01-C*03:03-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 23  A*26:08-B*15:01-C*04:01-DRB1*16:02-DQB1*05:02  USA Hispanic pop 2 0.04701,999
 24  A*26:08-B*40:04-C*03:04-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 25  A*26:08-B*27:05-C*02:02-DRB1*04:05  Germany DKMS - Spain minority 0.04501,107
 26  A*26:08-B*27:05-C*04:01-DRB1*11:01-DQB1*06:02  USA African American pop 4 0.04402,411
 27  A*26:08-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.04301,159
 28  A*26:08-B*35:08-C*04:01-DRB1*04:02-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 29  A*26:08-B*45:01-C*06:02-DRB1*13:05-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 30  A*26:08-B*45:01-C*06:02-DRB1*15:01  Germany DKMS - Portugal minority 0.04301,176
 31  A*26:08-B*51:01-C*15:02-DRB1*07:01  Germany DKMS - Portugal minority 0.04301,176
 32  A*26:08-B*40:02-C*02:02-DRB1*04:04  Germany DKMS - Netherlands minority 0.03601,374
 33  A*26:08-B*45:01-C*06:02-DRB1*15:01  Germany DKMS - France minority 0.03601,406
 34  A*26:08-B*56:01-C*01:02-DRB1*13:01  Germany DKMS - France minority 0.03601,406
 35  A*26:08-B*15:01-C*04:01-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 36  A*26:08-B*39:01-C*12:03-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 37  A*26:08-B*40:01-C*03:04-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 38  A*26:08-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 39  A*26:08-B*56:01-C*01:02-DRB1*12:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 40  A*26:08-B*35:02:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 41  A*26:08-B*55:01:01-C*03:03:01-DRB1*15:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 42  A*26:08-B*39:01-C*12:03-DRB1*01:01  Germany DKMS - Austria minority 0.02901,698
 43  A*26:08-B*15:01-C*03:03-DRB1*01:01  Germany DKMS - Greece minority 0.02601,894
 44  A*26:08-B*39:01-C*12:03-DRB1*11:01  Germany DKMS - Greece minority 0.02601,894
 45  A*26:08-B*40:04  USA Hispanic pop 2 0.02501,999
 46  A*26:08-B*45:01  USA Hispanic pop 2 0.02501,999
 47  A*26:08-B*27:05  USA African American pop 4 0.02102,411
 48  A*26:08-B*44:02  USA African American pop 4 0.02102,411
 49  A*26:08-B*55:01-C*03:03-DRB1*15:01  Poland DKMS 0.016920,653
 50  A*26:08-B*39:01-C*12:03-DRB1*07:01-DQB1*02:01  Belgium 0.014231,412
 51  A*26:08-B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Belgium 0.012431,412
 52  A*26:08-B*38:01-DRB1*04:02  Israel Ashkenazi Jews pop 3 0.01184,625
 53  A*26:08-B*40:01-DRB1*13:02  Israel Argentina Jews 0.01164,307
 54  A*26:08-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 55  A*26:08-B*15:01-C*03:04-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 56  A*26:08-B*18:01-C*02:02-DRB1*16:01-DQB1*05:02  Belgium 0.008131,412
 57  A*26:08-B*35:02-DRB1*04:03  Israel Ashkenazi Jews pop 3 0.00674,625
 58  A*26:08-B*27:05-C*02:02-DRB1*01:01  Poland DKMS 0.006120,653
 59  A*26:08-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  Belgium 0.006131,412
 60  A*26:08-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Belgium 0.005431,412
 61  A*26:08-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Belgium 0.005031,412
 62  A*26:08-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03  Belgium 0.004531,412
 63  A*26:08-B*40:01-C*01:02-DRB1*13:02-DQB1*06:04  Belgium 0.004131,412
 64  A*26:08-B*15:01-C*04:01-DRB1*07:01-DQB1*02:01  Belgium 0.004131,412
 65  A*26:08-B*56:01-C*01:02-DRB1*03:01-DQB1*02:01  Belgium 0.003931,412
 66  A*26:08-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.002823,595
 67  A*26:08-B*45:01-C*06:02-DRB1*15:01-DQB1*06:02  Belgium 0.002631,412
 68  A*26:08-B*08:01-C*07:01-DRB1*03:01  Poland DKMS 0.002620,653
 69  A*26:08-B*44:02-C*05:01-DRB1*12:01  Poland DKMS 0.002620,653
 70  A*26:08-B*07:02-C*07:02-DRB1*10:01  Poland DKMS 0.002420,653
 71  A*26:08-B*15:01-C*03:03-DRB1*13:01  Poland DKMS 0.002420,653
 72  A*26:08-B*15:03-C*02:10-DRB1*01:02  Poland DKMS 0.002420,653
 73  A*26:08-B*18:01-C*07:01-DRB1*11:04  Poland DKMS 0.002420,653
 74  A*26:08-B*27:05-C*02:02-DRB1*04:04  Poland DKMS 0.002420,653
 75  A*26:08-B*35:01-C*04:01-DRB1*04:08  Poland DKMS 0.002420,653
 76  A*26:08-B*38:01-C*12:03-DRB1*13:01  Poland DKMS 0.002420,653
 77  A*26:08-B*38:01-C*12:03-DRB1*14:01  Poland DKMS 0.002420,653
 78  A*26:08-B*38:01-DRB1*11:01  Israel Poland Jews 0.002413,871
 79  A*26:08-B*50:01-C*06:02-DRB1*14:01  Poland DKMS 0.002420,653
 80  A*26:08-B*51:01-C*14:02-DRB1*01:01  Poland DKMS 0.002420,653
 81  A*26:08-B*51:01-C*15:02-DRB1*03:01  Poland DKMS 0.002420,653
 82  A*26:08-B*51:01-C*15:02-DRB1*11:01  Poland DKMS 0.002420,653
 83  A*26:08-B*55:01-C*03:03-DRB1*14:01  Poland DKMS 0.002420,653
 84  A*26:08-B*57:01-C*06:02-DRB1*08:03  Poland DKMS 0.002420,653
 85  A*26:08-B*57:10-C*06:02-DRB1*07:01  Poland DKMS 0.002420,653
 86  A*26:08-B*07:02-C*07:02-DRB1*04:07-DQB1*03:01  Belgium 0.002231,412
 87  A*26:08-B*08:01-C*07:01-DRB1*01:01  Poland DKMS 0.002220,653
 88  A*26:08-B*56:01-C*01:02-DRB1*11:01-DQB1*03:01  Belgium 0.002231,412
 89  A*26:08-B*15:01-C*04:01-DRB1*04:03  Poland DKMS 0.002120,653
 90  A*26:08-B*45:01-C*06:02-DRB1*07:01-DQB1*02:01  Belgium 0.002131,412
 91  A*26:08-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Belgium 0.002131,412
 92  A*26:08-B*07:02-C*07:02-DRB1*04:05-DQB1*02:01  Belgium 0.002031,412
 93  A*26:08-B*07:26-C*07:02-DRB1*07:01-DQB1*02:01  Belgium 0.002031,412
 94  A*26:08-B*08:01-C*07:01-DRB1*04:07-DQB1*03:01  Belgium 0.002031,412
 95  A*26:08-B*14:02-C*08:02-DRB1*14:01-DQB1*05:03  Belgium 0.002031,412
 96  A*26:08-B*15:01-C*03:03-DRB1*16:01-DQB1*05:02  Belgium 0.002031,412
 97  A*26:08-B*15:17-C*07:01-DRB1*16:01-DQB1*06:03  Belgium 0.002031,412
 98  A*26:08-B*27:05-C*04:01-DRB1*04:01-DQB1*03:01  Belgium 0.002031,412
 99  A*26:08-B*27:05-C*07:02-DRB1*13:01-DQB1*06:03  Belgium 0.002031,412
 100  A*26:08-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Belgium 0.002031,412

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 138) 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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