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 71 (from 71) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30:01-B*35:01-C*03:02-DRB1*10:01-DQB1*05:01  Iran Gorgan 0.780064
 2  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Italy pop 5 0.4400975
 3  A*29:01:01-B*35:01:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 4  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 5  A*23:01:01-B*35:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 6  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 7  A*11:01-B*35:01-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 8  A*32:01-B*35:01-C*12:03-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 9  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.13102,411
 10  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.095511,446
 11  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.09005,829
 12  A*33:03-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.08702,411
 13  A*02:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.08601,159
 14  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.08092,492
 15  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.07904,856
 16  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.07542,403
 17  A*11:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 18  A*33:03-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*03:01  Sri Lanka Colombo 0.0700714
 19  A*11:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.068311,446
 20  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.059811,446
 21  A*23:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  USA Hispanic pop 2 0.04701,999
 22  A*02:11-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04232,492
 23  A*32:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.04162,403
 24  A*68:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.041111,446
 25  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.04105,849
 26  A*01:01-B*35:01-C*15:05-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 27  A*24:02-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 28  A*30:02-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 29  A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 30  A*11:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03104,856
 31  A*33:03-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.03025,829
 32  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.03014,204
 33  A*03:01:01-B*35:01:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 34  A*11:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.02765,849
 35  A*24:02-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02574,204
 36  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02524,204
 37  A*02:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02522,492
 38  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.02292,403
 39  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02292,492
 40  A*02:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02214,204
 41  A*01:01-B*35:01-C*03:03-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 42  A*02:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 43  A*11:01-B*35:01-C*07:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 44  A*24:11N-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.02032,403
 45  A*29:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 46  A*68:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.02005,829
 47  A*24:02-B*35:01-C*07:26-DRB1*10:01-DQB1*05:01  India West UCBB 0.01725,829
 48  A*32:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.01705,829
 49  A*32:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.016511,446
 50  A*26:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.01625,849
 51  A*26:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.01585,829
 52  A*11:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.01365,829
 53  A*11:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01314,204
 54  A*02:06-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01204,204
 55  A*11:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.01162,403
 56  A*02:01-B*35:01-C*16:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.01102,411
 57  A*68:02-B*35:01-C*16:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.01102,411
 58  A*24:02-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.01085,849
 59  A*24:02-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.00955,829
 60  A*31:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.008711,446
 61  A*11:01-B*35:01-C*04:289-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 62  A*33:03-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.007411,446
 63  A*32:01:01-B*35:01:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.006423,595
 64  A*11:01-B*35:01-C*03:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 65  A*11:01-B*35:01-C*03:04-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 66  A*11:01-B*35:01-C*07:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 67  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004323,595
 68  A*02:11-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.004211,446
 69  A*01:01:01-B*35:01:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002723,595
 70  A*30:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 71  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595

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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