Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 56 (from 56) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Colombia North Wiwa El Encanto 0.961552
 2  A*24:02:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*34:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 3  A*02:07:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:03:02  Vietnam Kinh 0.4950101
 4  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.4400975
 5  A*01:01:01-B*51:01:01-C*01:02:01-DRB1*11:04:01-DQA1*01:02:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 6  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 7  A*03-B*51-C*01-DRB1*11-DQB1*03  Albania pop 2 0.3400432
 8  A*24:02-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 9  A*03:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.16101,159
 10  A*29:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.1400975
 11  A*02-B*51-C*01-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.13101,743
 12  A*02:01:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.11381,510
 13  A*24:02-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 14  A*24:02-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 15  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 16  A*31:01:02:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 17  A*01:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05704,856
 18  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.05651,075
 19  A*24:02:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.048823,595
 20  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 21  A*30:02-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 22  A*32:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 23  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.039723,595
 24  A*03:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 25  A*24:02-B*51:01-C*01:02-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 26  A*03:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 27  A*11:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 28  A*24:02:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 29  A*68:02:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 30  A*68-B*51-C*01-DRB1*11-DQA1*05-DQB1*03  Spain, Castilla y Leon, Northwest, 0.03281,743
 31  A*24:02-B*51:01-C*01:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.03204,856
 32  A*24:02-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.02983,456,066
 33  A*24:02-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 34  A*24:02:01-B*51:01:01-C*01:02:01-DRB1*11:27:01-DQB1*03:01:01  Poland BMR 0.019123,595
 35  A*24:02:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.01861,510
 36  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01803,456,066
 37  A*03:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.017223,595
 38  A*01:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.01715,849
 39  A*26:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.015823,595
 40  A*01:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01313,456,066
 41  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01263,456,066
 42  A*02:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.01063,456,066
 43  A*01-B*51-C*01-DRB1*11-DQB1*03-DPB1*05  Norway ethnic Norwegians 0.01004,510
 44  A*03-B*51-C*01-DRB1*11-DQB1*03-DPB1*05  Norway ethnic Norwegians 0.01004,510
 45  A*24-B*51-C*01-DRB1*11-DQB1*03-DPB1*02  Norway ethnic Norwegians 0.01004,510
 46  A*26:76-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00855,849
 47  A*03:01:01-B*51:01:01-C*01:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.005223,595
 48  A*31:01:02-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005123,595
 49  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.005023,595
 50  A*68:01-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 51  A*32:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003723,595
 52  A*11:01:01-B*51:01:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002323,595
 53  A*24:02:01-B*51:01:01-C*01:32:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 54  A*66:01:01-B*51:01:01-C*01:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 55  A*01:01:01-B*51:01:01-C*01:02:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.000836323,595
 56  A*02:01:01-B*51:07:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000491423,595

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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