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 43 (from 43) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*07:02-C*07:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 1.3158130
 2  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.3072153
 3  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01  South Africa Caucasians 1.1100102
 4  A*02:01-B*07:02-C*07:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 5  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 6  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.3993221
 7  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.37051,510
 8  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:02:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 9  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Portugal minority 0.27401,176
 10  A*02:01-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 0.250018,604
 11  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.23003,078
 12  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - United Kingdom minority 0.18701,043
 13  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.18615,926
 14  A*02:01-B*07:02-C*07:02-DRB1*01:01  Poland DKMS 0.170420,653
 15  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.16901,999
 16  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.139923,595
 17  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.13901,374
 18  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Spain minority 0.13601,107
 19  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.10791,463
 20  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 21  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.10261,075
 22  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.07101,028
 23  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.06631,075
 24  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Greece minority 0.05301,894
 25  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.05101,159
 26  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.04863,456,066
 27  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.04643,456,066
 28  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Romania minority 0.04101,234
 29  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.03995,849
 30  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*05:01  Japan pop 17 0.03003,078
 31  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 32  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 33  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 34  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.0266221
 35  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0266221
 36  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India East UCBB 0.02082,403
 37  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.01793,456,066
 38  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.01603,456,066
 39  A*02:01-B*07:02-C*07:02-DRB1*01:01  Hong Kong Chinese BMDR 0.01547,595
 40  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.0140356
 41  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.007723,595
 42  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.007323,595
 43  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.004823,595

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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