Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 60 (from 60) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*25:01:01-B*39:10:01-C*12:03:01  South African Mixed ancestry 1.000050
 2  B*39:10-C*12:03  Kenya Nandi 1.0000240
 3  A*68:02:01-B*39:10:01-C*12:03:01-DRB1*07:01  Costa Rica African -Caribbean (G) 0.9804102
 4  A*66:01-B*39:10-C*12:03-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.6944144
 5  B*39:10-C*12:03  USA African American pop 4 0.68602,411
 6  A*33:03:01-B*39:10:01-C*12:03:01-DRB1*11:02:01  Costa Rica African -Caribbean (G) 0.4902102
 7  A*66:03-B*39:10:01-C*12:03:01-DRB1*07:01  Costa Rica African -Caribbean (G) 0.4902102
 8  B*39:10-C*12:03-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4300234
 9  A*66:01-B*39:10-C*12:03-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4274234
 10  B*39:10-C*12:03  Mexico Mexico City Mestizo pop 2 0.4200234
 11  A*02:05:01-B*39:10:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*01:01:01  South African Black 0.3520142
 12  A*03:01:01-B*39:10:01-C*12:03:01-DRB1*15:03:01-DQB1*04:02:01-DPB1*01:01:01  South African Black 0.3520142
 13  A*66:01:01-B*39:10:01-C*12:03:01-DRB1*04:10:01-DQB1*03:03:02-DPB1*01:01:01  South African Black 0.3520142
 14  A*68:02-B*39:10-C*12:03-DRB1*08:04-DQB1*03:01-DPB1*02:01  Tanzania Maasai 0.3195336
 15  A*29:02:01-B*39:10:01-C*12:03:01-DRB1*07:01:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 16  A*01:01-B*39:10-C*12:03-DRB1*04:05-DQB1*02:02-DPB1*03:01  Tanzania Maasai 0.1597336
 17  A*02:01-B*39:10-C*12:03-DRB1*03:01-DQB1*02:01-DPB1*05:01  Tanzania Maasai 0.1597336
 18  A*29:02-B*39:10-C*12:03-DRB1*07:01-DQB1*02:02-DPB1*01:01  Tanzania Maasai 0.1597336
 19  A*34:02-B*39:10-C*12:03-DRB1*03:01-DQB1*02:01-DPB1*02:01  Tanzania Maasai 0.1597336
 20  A*33:03:01-B*39:10:01-C*12:03:01-DRB1*08:04:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 21  A*66:01-B*39:10-C*12:03-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.08702,411
 22  A*66:01-B*39:10-C*12:03-DRB1*11:02-DQB1*03:01  USA African American pop 4 0.08702,411
 23  A*66:01-B*39:10-C*12:03-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.08702,411
 24  A*66:01-B*39:10-C*12:03-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 25  A*02:02-B*39:10-C*12:03-DRB1*13:04-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 26  A*01:03-B*39:10-C*12:03-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.04402,411
 27  A*02:02-B*39:10-C*12:03-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.04402,411
 28  A*02:02-B*39:10-C*12:03-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 29  A*02:05-B*39:10-C*12:03-DRB1*13:01-DQB1*06:09  USA African American pop 4 0.04402,411
 30  A*03:01-B*39:10-C*12:03-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 31  A*03:01-B*39:10-C*12:03-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.04402,411
 32  A*30:02-B*39:10-C*12:03-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 33  A*30:02-B*39:10-C*12:03-DRB1*13:01-DQB1*06:09  USA African American pop 4 0.04402,411
 34  A*32:01-B*39:10-C*12:03-DRB1*01:02-DQB1*05:01  USA African American pop 4 0.04402,411
 35  A*66:01-B*39:10-C*12:03-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 36  A*80:01-B*39:10-C*12:03-DRB1*14:01-DQB1*05:01  USA African American pop 4 0.04402,411
 37  A*03:01-B*39:10-C*12:03-DRB1*13:02  Germany DKMS - Romania minority 0.04101,234
 38  A*68:02-B*39:10-C*12:03-DRB1*08:04-DQB1*03:01  Germany DKMS - Turkey minority 0.04104,856
 39  A*29:02-B*39:10-C*12:03-DRB1*13:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 40  A*68:02-B*39:10-C*12:03-DRB1*13:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 41  A*33:03-B*39:10-C*12:03-DRB1*03:01  Germany DKMS - Austria minority 0.02901,698
 42  A*33:03-B*39:10-C*12:03-DRB1*11:03  Germany DKMS - Austria minority 0.02901,698
 43  A*29:02-B*39:10-C*12:03-DRB1*01:03  Germany DKMS - Greece minority 0.02601,894
 44  B*39:10-C*12:03  USA Hispanic pop 2 0.02501,999
 45  A*29:02-B*39:10-C*12:03-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.02104,856
 46  A*02:01-B*39:10-C*12:03-DRB1*01:02-DQB1*05:01  Germany DKMS - Turkey minority 0.01004,856
 47  A*03:01-B*39:10-C*12:03-DRB1*04:05-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 48  A*24:02-B*39:10-C*12:03-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 49  A*29:02-B*39:10-C*12:03-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 50  A*33:03-B*39:10-C*12:03-DRB1*03:02-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 51  A*02:01-B*39:10-C*12:03-DRB1*13:02-DQB1*06:09  India South UCBB 0.008711,446
 52  A*29:02-B*39:10-C*12:03-DRB1*04:05-DQB1*02:02  India West UCBB 0.00865,829
 53  A*30:02-B*39:10-C*12:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.00865,829
 54  A*02:05-B*39:10-C*12:03-DRB1*04:02-DQB1*03:02  India South UCBB 0.004411,446
 55  A*33:03-B*39:10-C*12:03-DRB1*08:04-DQB1*03:01  India South UCBB 0.004411,446
 56  A*02:01-B*39:10-C*12:03-DRB1*15:01  Poland DKMS 0.002420,653
 57  A*29:02:01-B*39:10:01-C*12:03:01-DRB1*13:02:01-DQB1*05:01:01  Poland BMR 0.002123,595
 58  A*30:01:01-B*39:10:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 59  A*68:02:01-B*39:10:01-C*12:03:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 60  A*68:02:01-B*39:10:01-C*12:03:01-DRB1*13:02:01-DQB1*05:01:01  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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