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 39 (from 39) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4300234
 2  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 3  A*24:02:01-B*38:01:01-C*12:03:01:01-DRB1*07:01-DQB1*02  Russia Bashkortostan, Bashkirs 0.4167120
 4  A*02-B*38-C*12:03-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 5  A*24-B*38-C*12:03-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 6  A*30-B*38-C*12:03-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 7  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQA1*01:03:01-DQB1*02:02-DPA1*02:02:02-DPB1*104:01:01  Russia Belgorod region 0.3268153
 8  A*01:01:01-B*38:01:01-C*12:03:06-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 9  A*24:02-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 10  A*03:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02-DPB1*09:01  Panama 0.1900462
 11  A*01:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.11291,075
 12  A*03:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 13  A*24:02-B*38:01-C*12:03-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 14  A*66:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.08104,856
 15  A*26:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06931,463
 16  A*11:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 17  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.044223,595
 18  A*24:02-B*38:01-C*12:03-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 19  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.041723,595
 20  A*02:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 21  A*03:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 22  A*29:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 23  A*32:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 24  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 25  A*26:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02404,856
 26  A*26:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02384,204
 27  A*68:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 28  A*03:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02004,856
 29  A*26:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  India West UCBB 0.01725,829
 30  A*02:05:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014823,595
 31  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.012523,595
 32  A*68:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.010123,595
 33  A*01:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 34  A*26:01-B*38:01-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 35  A*24:02:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004323,595
 36  A*68:01:02-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002223,595
 37  A*25:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002223,595
 38  A*29:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 39  A*32:01:01-B*38:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.000419423,595

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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