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 52 (from 52) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*35:03-C*12:03-E*01:03:02-F*01:01:02-G*01:01-DRB1*11:01-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.8772130
 2  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.8060124
 3  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.46905,849
 4  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.3378296
 5  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 6  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India East UCBB 0.24822,403
 7  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.17834,204
 8  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.1689296
 9  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.13671,463
 10  A*01:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.11944,204
 11  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India West UCBB 0.11605,829
 12  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 13  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.08901,772
 14  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.088611,446
 15  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.08625,849
 16  A*11:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India East UCBB 0.08472,403
 17  A*11:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.07765,849
 18  A*11:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.06904,204
 19  A*32:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.06215,849
 20  A*33:03-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 21  A*32:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04244,204
 22  A*68:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India East UCBB 0.03862,403
 23  A*02:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.03575,849
 24  A*01:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India East UCBB 0.03562,403
 25  A*26:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.03365,849
 26  A*01:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 27  A*01:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.02885,849
 28  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 29  A*32:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India West UCBB 0.02395,829
 30  A*02:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02204,204
 31  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02172,492
 32  A*03:01:01-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.021323,595
 33  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India West UCBB 0.01895,829
 34  A*01:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India West UCBB 0.01845,829
 35  A*03:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.016711,446
 36  A*68:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01564,204
 37  A*11:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India West UCBB 0.01535,829
 38  A*31:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.01435,849
 39  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01204,856
 40  A*66:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 41  A*02:11-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01144,204
 42  A*11:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.011111,446
 43  A*31:16-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 44  A*24:07-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India North UCBB 0.00715,849
 45  A*33:03-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.006711,446
 46  A*26:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.005111,446
 47  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.00494,204
 48  A*02:11-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.004811,446
 49  A*24:07-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 50  A*31:16-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.004411,446
 51  A*25:01:01-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003323,595
 52  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001723,595

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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