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 69 (from 69) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  Italy pop 5 0.2900975
 2  A*26:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India Northeast UCBB 0.1689296
 3  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 4  A*01:01-B*51:01-C*16:02-DRB1*07:01  Germany DKMS - Greece minority 0.10601,894
 5  A*02:01-B*51:01-C*16:02-DRB1*07:01  Italy pop 5 0.1000975
 6  A*11:01-B*51:01-C*16:02-DRB1*07:01  Italy pop 5 0.1000975
 7  A*02:01-B*51:01-C*16:02-DRB1*07:01  Germany DKMS - Spain minority 0.09001,107
 8  A*24:02-B*51:01-C*16:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 9  A*02:01-B*51:01-C*16:02-DRB1*07:01  Germany DKMS - France minority 0.07101,406
 10  A*02:01-B*51:01-C*16:02-DRB1*07:01  Germany DKMS - Greece minority 0.05701,894
 11  A*24:02-B*51:01-C*16:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.05651,075
 12  A*26:01-B*51:01-C*16:02-DRB1*07:01  Germany DKMS - Greece minority 0.04801,894
 13  A*02:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  USA Hispanic pop 2 0.04701,999
 14  A*31:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 15  A*26:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.04395,849
 16  A*32:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.04162,403
 17  A*32:01-B*51:01-C*16:02-DRB1*07:01  Germany DKMS - Romania minority 0.04101,234
 18  A*02:03-B*51:01-C*16:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.04012,492
 19  A*11:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.04012,492
 20  A*02:01-B*51:01-C*16:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.03601,374
 21  A*02:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 22  A*24:02-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 23  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 24  A*24:02-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.02742,492
 25  A*24:02-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02454,204
 26  A*23:01-B*51:01-C*16:02-DRB1*07:01  Germany DKMS - Croatia minority 0.02402,057
 27  A*01:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.02384,204
 28  A*24:02-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02322,403
 29  A*11:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 30  A*01:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 31  A*01:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.02082,403
 32  A*02:09-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.02082,403
 33  A*03:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.02062,492
 34  A*24:02-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.017511,446
 35  A*33:03-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.01745,849
 36  A*11:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.016711,446
 37  A*26:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.01485,829
 38  A*02:06-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 39  A*03:02-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 40  A*11:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 41  A*26:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.008911,446
 42  A*11:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00885,849
 43  A*11:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.00875,829
 44  A*01:01-B*51:01-C*16:02-DRB1*07:01-DQB1*05:03  India West UCBB 0.00865,829
 45  A*02:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India West UCBB 0.00865,829
 46  A*31:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India West UCBB 0.00865,829
 47  A*02:11-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 48  A*24:02-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 49  A*26:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 50  A*11:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.008011,446
 51  A*03:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.007011,446
 52  A*01:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.006311,446
 53  A*31:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005911,446
 54  A*02:11-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.005411,446
 55  A*01:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:30  India Tamil Nadu 0.00502,492
 56  A*02:11-B*51:01-C*16:02-DRB1*07:01-DQB1*03:30  India Tamil Nadu 0.00502,492
 57  A*26:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.005011,446
 58  A*01:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.00492,492
 59  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004523,595
 60  A*02:01-B*51:01-C*16:02-DRB1*07:01-DQB1*03:02  India South UCBB 0.004411,446
 61  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003523,595
 62  A*02:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.002711,446
 63  A*02:05-B*51:01-C*16:02-DRB1*07:01  Poland DKMS 0.002420,653
 64  A*02:05:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 65  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 66  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 67  A*68:01-B*51:01-C*16:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.001811,446
 68  A*11:01:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001723,595
 69  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.000863723,595

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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