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 57 (from 57) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*27:03/27:05/27:10-C*02:02  USA Alaska Yupik 6.8000252
 2  B*27:03-C*02:02  Kenya Nandi 2.5000240
 3  A*23:01-B*27:03-C*02:02  Kenya Nandi 1.5000240
 4  A*32:01:01-B*27:03-C*02:02:02-DRB1*08:04:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*06:01:01  Brazil Rio de Janeiro Black 1.470668
 5  B*27:03-C*02:02  USA Alaska Yupik 1.3000252
 6  A*02:05-B*27:03-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 0.6667150
 7  A*02:05-B*27:03-C*02:02-DRB1*08:04-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.6390336
 8  A*30:02:01-B*27:03-C*02:02:02-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 9  B*27:03-C*02:02  Mexico Mexico City Mestizo pop 2 0.2100234
 10  B*27:03-C*02:02  USA African American pop 4 0.20802,411
 11  A*32:01:01-B*27:03-C*02:02:02-DRB1*10:01:01-DQB1*03:01:04-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 12  A*02:01-B*27:03-C*02:02-DRB1*03:01-DQB1*02:01-DPB1*05:01  Panama 0.1900462
 13  A*30:02-B*27:03-C*02:02-DRB1*13:01-DQB1*06:03-DPB1*03:01  Panama 0.1900462
 14  A*30:02-B*27:03-C*02:02-DRB1*15:01-DQB1*06:06-DPB1*04:01  Panama 0.1900462
 15  A*68:01-B*27:03-C*02:02-DRB1*07:01-DQB1*02:02-DPB1*04:01  Panama 0.1900462
 16  A*29:15-B*27:03-C*02:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Tanzania Maasai 0.1597336
 17  A*02:01-B*27:03-C*02:02-DRB1*08:04-DQB1*04:02  Germany DKMS - Italy minority 0.12901,159
 18  A*68:02:01-B*27:03-C*02:02:02  England Blood Donors of Mixed Ethnicity 0.0963519
 19  A*30:02-B*27:03-C*02:02-DRB1*08:04  Germany DKMS - Portugal minority 0.08501,176
 20  B*27:03-C*02:02  USA Hispanic pop 2 0.07501,999
 21  A*01:01-B*27:03-C*02:02-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.04402,411
 22  A*01:01-B*27:03-C*02:02-DRB1*12:01-DQB1*05:01  USA African American pop 4 0.04402,411
 23  A*02:05-B*27:03-C*02:02-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.04402,411
 24  A*30:02-B*27:03-C*02:02-DRB1*13:02-DQB1*06:09  USA African American pop 4 0.04402,411
 25  A*30:02-B*27:03-C*02:02-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 26  A*02:05-B*27:03-C*02:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 27  A*68:02-B*27:03-C*02:02-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 28  A*68:02-B*27:03-C*02:02-DRB1*13:02  Germany DKMS - Greece minority 0.02601,894
 29  A*32:01:01-B*27:03-C*02:02:02-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.025423,595
 30  A*03:01-B*27:03-C*02:02-DRB1*10:01  Hong Kong Chinese BMDR 0.01977,595
 31  A*68:02-B*27:03-C*02:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.01725,829
 32  A*03:01-B*27:03-C*02:02-DRB1*09:01  Hong Kong Chinese BMDR 0.01327,595
 33  A*02:03-B*27:03-C*02:02-DRB1*11:01  Hong Kong Chinese BMDR 0.01227,595
 34  A*68:02-B*27:03-C*02:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 35  A*03:01-B*27:03-C*02:02-DRB1*04:01  Hong Kong Chinese BMDR 0.01127,595
 36  A*11:01-B*27:03-C*02:02-DRB1*08:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 37  A*68:02-B*27:03-C*02:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 38  A*02:20-B*27:03-C*02:02-DRB1*04:03-DQB1*03:02  India North UCBB 0.00855,849
 39  A*32:01-B*27:03-C*02:02-DRB1*11:04  Poland DKMS 0.008320,653
 40  A*03:01-B*27:03-C*02:02-DRB1*01:01  Hong Kong Chinese BMDR 0.00667,595
 41  A*03:01-B*27:03-C*02:02-DRB1*04:05  Hong Kong Chinese BMDR 0.00667,595
 42  A*24:03-B*27:03-C*02:02-DRB1*10:01  Hong Kong Chinese BMDR 0.00667,595
 43  A*01:01:01-B*27:03-C*02:02:02-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006423,595
 44  A*01:01-B*27:03-C*02:02-DRB1*01:03  Hong Kong Chinese BMDR 0.00617,595
 45  A*01:01-B*27:03-C*02:02-DRB1*11:04  Poland DKMS 0.006120,653
 46  A*24:02-B*27:03-C*02:02-DRB1*04:05  Hong Kong Chinese BMDR 0.00617,595
 47  A*68:01-B*27:03-C*02:02-DRB1*15:01  Hong Kong Chinese BMDR 0.00607,595
 48  A*02:06-B*27:03-C*02:02-DRB1*07:01  Hong Kong Chinese BMDR 0.00577,595
 49  A*68:02-B*27:03-C*02:02-DRB1*15:02  Hong Kong Chinese BMDR 0.00517,595
 50  A*11:02-B*27:03-C*02:02-DRB1*04:01  Hong Kong Chinese BMDR 0.00407,595
 51  A*24:02-B*27:03-C*02:02-DRB1*11:01  Hong Kong Chinese BMDR 0.00407,595
 52  A*32:01-B*27:03-C*02:02-DRB1*07:01  Poland DKMS 0.002420,653
 53  A*32:01-B*27:03-C*02:02-DRB1*11:01  Poland DKMS 0.002420,653
 54  A*68:02-B*27:03-C*02:02-DRB1*03:01  Poland DKMS 0.002420,653
 55  A*01:01:01-B*27:03-C*02:02:02-DRB1*11:04:01-DQB1*05:03:01  Poland BMR 0.002123,595
 56  A*01:01:01-B*27:03-C*02:02:02-DRB1*11:04:01-DQB1*06:03:01  Poland BMR 0.002123,595
 57  A*32:01:01-B*27:03-C*02:02:02-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595

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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