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 46 (from 46) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DQB1*06:04:01  India Karnataka Kannada Speaking 0.2870174
 2  A*24:07:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DQB1*06:04:01  India Andhra Pradesh Telugu Speaking 0.2688186
 3  A*01:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.08601,159
 4  A*03:01-B*52:01-C*12:02-DRB1*13:02  Germany DKMS - China minority 0.07801,282
 5  A*24:02-B*52:01-C*12:02-DRB1*13:02-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 6  A*02:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09-DPB1*02:01  Russia Karelia 0.05631,075
 7  A*01:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.04301,159
 8  A*32:01-B*52:01-C*12:02-DRB1*13:02  Germany DKMS - Romania minority 0.04101,234
 9  A*11:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 10  A*03:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 11  A*03:01-B*52:01-C*12:02-DRB1*13:02  Germany DKMS - Croatia minority 0.02402,057
 12  A*11:01-B*52:01-C*12:02-DRB1*13:02  Germany DKMS - Croatia minority 0.02402,057
 13  A*11:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:04  India Central UCBB 0.02394,204
 14  A*24:02-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.02165,849
 15  A*02:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Turkey minority 0.02104,856
 16  A*02:11-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.01835,829
 17  A*32:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:04  India Central UCBB 0.01244,204
 18  A*24:07-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 19  A*31:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.01194,204
 20  A*03:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.01075,849
 21  A*24:02-B*52:01-C*12:02-DRB1*13:02  Japan pop 16 0.010018,604
 22  A*68:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India West UCBB 0.00865,829
 23  A*02:06-B*52:01-C*12:02-DRB1*13:02-DQB1*06:41  India North UCBB 0.00855,849
 24  A*11:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:03  India North UCBB 0.00855,849
 25  A*01:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.008011,446
 26  A*24:02-B*52:01-C*12:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.007411,446
 27  A*01:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.00715,849
 28  A*24:02-B*52:01-C*12:02-DRB1*13:02  Hong Kong Chinese BMDR 0.00667,595
 29  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.006323,595
 30  A*68:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.006111,446
 31  A*03:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:08  India Tamil Nadu 0.00502,492
 32  A*24:02-B*52:01-C*12:02-DRB1*13:02-DQB1*06:08  India Tamil Nadu 0.00502,492
 33  A*26:01-B*52:01-C*12:02-DRB1*13:02  Japan pop 16 0.005018,604
 34  A*03:01:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00495,266
 35  A*11:01-B*52:01-C*12:02-DRB1*13:02  Poland DKMS 0.004920,653
 36  A*11:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.004911,446
 37  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004523,595
 38  A*23:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 39  A*24:07-B*52:01-C*12:02-DRB1*13:02-DQB1*06:04  India South UCBB 0.004411,446
 40  A*68:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.004411,446
 41  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.004223,595
 42  A*26:01-B*52:01-C*12:02-DRB1*13:02  Poland DKMS 0.002420,653
 43  A*32:01-B*52:01-C*12:02-DRB1*13:02  Poland DKMS 0.002420,653
 44  A*01:01-B*52:01-C*12:02-DRB1*13:02  Poland DKMS 0.002220,653
 45  A*03:02:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 46  A*31:01-B*52:01-C*12:02-DRB1*13:02-DQB1*06:04  India Tamil Nadu 0.00162,492

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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