Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 41 (from 41) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:14-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 1.6055218
 2  A*31:01-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 3  A*68:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 4  B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.6993143
 5  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 6  A*24:14-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.6881218
 7  A*24:02-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 0.6494339
 8  B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.6400234
 9  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*03:01  USA San Diego 0.2600496
 10  A*02:06-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 11  A*02:06-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 12  A*24:02-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 13  A*24:02-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 0.2294218
 14  A*02:01:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06891,510
 15  A*32:04-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.05641,075
 16  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.05504,856
 17  A*23:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 18  A*02:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 19  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India North UCBB 0.03425,849
 20  A*02:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 21  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 22  A*29:02-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 23  A*32:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 24  A*32:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 25  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.019823,595
 26  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.018811,446
 27  A*68:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India West UCBB 0.01695,829
 28  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.01423,456,066
 29  A*02:11-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 30  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India Central UCBB 0.01194,204
 31  A*68:02-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.01004,856
 32  A*03:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India West UCBB 0.00925,829
 33  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.008923,595
 34  A*31:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.008511,446
 35  A*68:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India North UCBB 0.00855,849
 36  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.007523,595
 37  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.006811,446
 38  A*11:03-B*35:01-C*04:01-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 39  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.004123,595
 40  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 41  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.000102023,595

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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