Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 58 (from 58) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*23:01-B*51:01-C*15:02-E*01:01:01-F*01:03:01-G*01:03-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 2  A*31:01:02:01-B*51:01:01-C*15:02:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 3  A*03-B*51-C*15:02-DRB1*01:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 4  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 5  A*11:01-B*51:01-C*15:02-DRB1*01:01-DQA1*01:02-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 6  A*02:01-B*51:01-C*15:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 7  A*32:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 8  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.168028,927
 9  A*68:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.08601,159
 10  A*02:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.07404,856
 11  A*03:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 12  A*68:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01-DPB1*10:01  Russia Karelia 0.05651,075
 13  A*02:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 14  A*23:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.04402,411
 15  A*24:02-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 16  A*30:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 17  A*11:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.04012,492
 18  A*02:13-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 19  A*31:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 20  A*02:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 21  A*24:02-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 22  A*29:02-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 23  A*26:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 24  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 25  A*68:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.02885,849
 26  A*68:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India Central UCBB 0.02384,204
 27  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.021623,595
 28  A*02:06-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 29  A*24:02-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.020211,446
 30  A*01:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 31  A*02:06-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 32  A*31:01-B*51:08-C*15:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 33  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.017223,595
 34  A*02:01-B*51:08-C*15:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01404,856
 35  A*26:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01404,856
 36  A*02:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01193,456,066
 37  A*24:02-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India Central UCBB 0.01194,204
 38  A*33:03-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India Central UCBB 0.01194,204
 39  A*01:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01104,856
 40  A*03:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.010523,595
 41  A*02:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.01002,492
 42  A*11:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 43  A*68:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:04  Germany DKMS - Turkey minority 0.01004,856
 44  A*68:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.009811,446
 45  A*02:11-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India West UCBB 0.00865,829
 46  A*03:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.008511,446
 47  A*11:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.00855,849
 48  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.005823,595
 49  A*26:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.005711,446
 50  A*01:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.004911,446
 51  A*23:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004923,595
 52  A*02:06-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 53  A*02:09-B*51:01-C*15:02-DRB1*01:01-DQB1*05:158  India South UCBB 0.004411,446
 54  A*11:01-B*51:01-C*15:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.004411,446
 55  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004323,595
 56  A*26:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002623,595
 57  A*68:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 58  A*32:01:01-B*51:01:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.001723,595

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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