Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 64 (from 64) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 2  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 3  A*03:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 4  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQA1*03:01-DQB1*03:02  Kosovo 0.4030124
 5  A*24:02:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 6  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*01:01  USA San Diego 0.2600496
 7  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.24871,075
 8  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.23161,075
 9  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 10  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA NMDP Caribean Indian 0.211514,339
 11  A*02:01-B*15:01-C*03:03-DRB1*04:01:01-DQB1*03:02:01  England North West 0.2000298
 12  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA NMDP Alaska Native or Aleut 0.19211,376
 13  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.169623,595
 14  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.15881,510
 15  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 16  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Colombia Bogotá Cord Blood 0.13671,463
 17  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA NMDP American Indian South or Central America 0.13565,926
 18  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.12901,159
 19  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.12673,456,066
 20  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*19:01  Russia Karelia 0.11261,075
 21  A*03:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 22  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.09441,075
 23  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.08702,411
 24  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.08601,075
 25  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.06093,456,066
 26  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.04583,456,066
 27  A*02:42-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA Asian pop 2 0.04401,772
 28  A*23:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 29  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 30  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 31  A*11:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03991,510
 32  A*11:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 33  A*32:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 34  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 35  A*11:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 36  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 37  A*29:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 38  A*68:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 39  A*24:02:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.029223,595
 40  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.022823,595
 41  A*25:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 42  A*26:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 43  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India West UCBB 0.01725,829
 44  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.01613,456,066
 45  A*25:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.016023,595
 46  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01513,456,066
 47  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.01373,456,066
 48  A*11:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.012423,595
 49  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.01203,456,066
 50  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 51  A*69:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 52  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*01:01  Germany DKMS - German donors 0.01183,456,066
 53  A*32:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01143,456,066
 54  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01003,456,066
 55  A*33:03-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.008711,446
 56  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.008511,446
 57  A*03:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.005423,595
 58  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 59  A*68:01:02-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003623,595
 60  A*01:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India South UCBB 0.002611,446
 61  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002423,595
 62  A*68:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 63  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00056202,492
 64  A*03:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00056202,492

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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