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 51 (from 51) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 2  B*18:01-C*07:01-DRB1*04:01-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 3  A*32:01-B*18:01-C*07:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*11:01  USA San Diego 0.2600496
 4  A*30:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:01  Italy pop 5 0.1400975
 5  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  Colombia Bogotá Cord Blood 0.10251,463
 6  A*30:01-B*18:01-C*07:01-DRB1*04:01  Italy pop 5 0.1000975
 7  A*02:01:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 8  A*02:01-B*18:01-C*07:01-DRB1*04:01  Germany DKMS - Croatia minority 0.08202,057
 9  A*02:01-B*18:01-C*07:01-DRB1*04:01  Germany DKMS - Romania minority 0.08101,234
 10  A*24:02-B*18:01-C*07:01-DRB1*04:01  Germany DKMS - Austria minority 0.07001,698
 11  A*11:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India East UCBB 0.06242,403
 12  A*25:01-B*18:01-C*07:01-DRB1*04:01  Germany DKMS - United Kingdom minority 0.04801,043
 13  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 14  A*03:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 15  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 16  A*32:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 17  A*02:01-B*18:01-C*07:01-DRB1*04:01  Germany DKMS - Greece minority 0.04101,894
 18  A*02:01-B*18:01-C*07:01-DRB1*04:01  Germany DKMS - Netherlands minority 0.04101,374
 19  A*01:01-B*18:01-C*07:01-DRB1*04:01  Germany DKMS - Netherlands minority 0.03601,374
 20  A*03:01-B*18:01-C*07:01-DRB1*04:01  Germany DKMS - France minority 0.03601,406
 21  A*24:03-B*18:01-C*07:01-DRB1*04:01  Germany DKMS - France minority 0.03601,406
 22  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 23  A*31:01-B*18:01-C*07:01-DRB1*04:01  Germany DKMS - Austria minority 0.02901,698
 24  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.023523,595
 25  A*03:01-B*18:01-C*07:01-DRB1*04:01  Poland DKMS 0.021220,653
 26  A*03:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India East UCBB 0.02082,403
 27  A*32:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India East UCBB 0.02082,403
 28  A*24:02:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.020723,595
 29  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.01633,456,066
 30  A*03:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.01323,456,066
 31  A*03:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India Central UCBB 0.01194,204
 32  A*03:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.010223,595
 33  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.01013,456,066
 34  A*02:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 35  A*01:01-B*18:01-C*07:01-DRB1*04:01  Poland DKMS 0.009320,653
 36  A*24:07-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 37  A*32:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India West UCBB 0.00865,829
 38  A*24:02-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India South UCBB 0.008311,446
 39  A*02:01-B*18:01-C*07:01-DRB1*04:01  Poland DKMS 0.006520,653
 40  A*24:03-B*18:01-C*07:01-DRB1*04:01  Poland DKMS 0.006220,653
 41  A*32:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India South UCBB 0.004411,446
 42  A*24:03:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004223,595
 43  A*01:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.003623,595
 44  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.002523,595
 45  A*02:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 46  A*03:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 47  A*24:02:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 48  A*68:01:02-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*06:04:01  Poland BMR 0.002123,595
 49  A*68:01:02-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002023,595
 50  A*03:01:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.001923,595
 51  A*26:01-B*18:01-C*07:01-DRB1*04:01-DQB1*03:02  India Tamil Nadu 0.00000282,492

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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