Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 78 (from 78) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*23-B*49-DRB1*11:01-DQB1*03:01  Russia Chuvash 2.400082
 2  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 1.0417192
 3  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.72701,159
 4  A*33:01-B*49:01-C*08:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 5  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 6  A*24:02-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.29301,159
 7  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.27071,510
 8  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.23921,463
 9  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 10  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.20504,335
 11  A*11:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.16604,856
 12  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 13  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.13404,856
 14  A*01:01:01-B*49:01:01-C*06:02:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1326221
 15  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.126623,595
 16  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.11591,075
 17  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.11051,075
 18  A*01:01-B*49:01-C*06:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 19  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.08133,456,066
 20  A*11:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.07901,159
 21  A*24-B*49-DRB1*11:01-DQA1*05:01-DQB1*03:01  Brazil Paraná Caucasian 0.0780641
 22  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.07204,856
 23  A*01:01-B*49:01-C*06:02-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 24  A*01:01-B*49:01-C*06:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 25  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 26  A*11:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 27  A*26:08-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 28  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06041,510
 29  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.05651,075
 30  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.05401,159
 31  A*01:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.05201,159
 32  A*02:05-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.05201,159
 33  A*02:05-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 34  A*33:03-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 35  A*02:02-B*49:01-C*07:35-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 36  A*02:05-B*49:01-C*07:35-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 37  A*02:11-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 38  A*02:55-B*49:01-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 39  A*30:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 40  A*32:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 41  A*32:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.041123,595
 42  A*33:03-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04104,856
 43  A*01:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*24:02-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*02:01:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 46  A*02:05-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02904,856
 47  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.02203,456,066
 48  A*03:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02204,856
 49  A*03:01-B*49:01-C*07:35-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.02202,411
 50  A*24:02-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.02201,772
 51  A*30:01-B*49:01-C*07:35-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.02202,411
 52  A*03:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.019223,595
 53  A*02:01-B*49:01-C*12:03-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01893,456,066
 54  A*26:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.018723,595
 55  A*24:02:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.017723,595
 56  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01663,456,066
 57  A*01:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01204,856
 58  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01193,456,066
 59  A*02:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 60  A*32:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 61  A*66:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.010723,595
 62  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.010723,595
 63  A*02:17-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 64  A*02:05-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 65  A*32:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 66  A*01:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 67  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India West UCBB 0.00815,829
 68  A*24:02:01-B*49:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006423,595
 69  A*01:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 70  A*23:01-B*49:01-C*07:01-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 71  A*01:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003723,595
 72  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002623,595
 73  A*30:01:01-B*49:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 74  A*30:04:01-B*49:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 75  A*31:01:02-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 76  A*29:02:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002023,595
 77  A*68:01:02-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000976423,595
 78  A*24:31-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000816623,595

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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