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 44 (from 44) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*14:12-DQA1*05:01/05:03/05:05-DQB1*03:01/03:09  Russia Siberia Ulchi 2.700073
 2  A*24-B*40-C*03:04-DRB1*14:12-DQB1*03  Russia Transbaikal Territory Buryats 0.6670150
 3  A*24:02-B*40:02-C*03:04-DRB1*14:12  Russia Bering Island Aleuts 0.4808104
 4  A*02-B*40-C*03:04-DRB1*14:12-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 5  A*02-B*51-C*15:02-DRB1*14:12-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 6  A*24-B*54-C*03:04-DRB1*14:12-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 7  A*26-B*51-C*15:02-DRB1*14:12-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 8  A*24:02:01:01-B*51:01:01-C*15:02:01:01-DRB1*14:12:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 9  A*02:01-B*51:01-C*15:02-DRB1*14:12-DQB1*03:01  USA Asian pop 2 0.04401,772
 10  DRB1*14:12-DQB1*03:01  USA Asian pop 2 0.04401,772
 11  A*02:06-B*51:01-C*14:02-DRB1*14:12  Germany DKMS - France minority 0.03601,406
 12  A*26:01:01-B*51:01:01-C*15:02:01-DRB1*14:12:01-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 13  A*29-B*44-DRB1*14:125  Chile Santiago 0.0327920
 14  A*11-B*35-DRB1*14:125  Chile Santiago 0.0295920
 15  A*03:02-B*51:01-C*15:02-DRB1*14:12-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 16  A*01:01-B*40:06-C*12:02-DRB1*14:126-DQB1*05:03  India Tamil Nadu 0.02012,492
 17  A*01-B*35-DRB1*14:122  Chile Santiago 0.0134920
 18  A*33:03-B*35:01-DRB1*14:12  Hong Kong Chinese cord blood registry 0.01263,892
 19  A*68-B*38-DRB1*14:125  Chile Santiago 0.0111920
 20  A*02-B*35-DRB1*14:125  Chile Santiago 0.0109920
 21  A*25-B*18-DRB1*14:125  Chile Santiago 0.0109920
 22  A*01-B*35-DRB1*14:125  Chile Santiago 0.0106920
 23  A*29-B*07-DRB1*14:125  Chile Santiago 0.0101920
 24  A*02:01-B*07:10-C*07:02-DRB1*14:12-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 25  A*02:01-B*51:01-C*15:02-DRB1*14:12  Japan pop 16 0.010018,604
 26  A*26:01-B*51:01-C*15:02-DRB1*14:12-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 27  A*23-B*07-DRB1*14:125  Chile Santiago 0.0091920
 28  A*33:03-B*35:01-C*03:03-DRB1*14:12  Hong Kong Chinese BMDR 0.00667,595
 29  A*33-B*38-DRB1*14:125  Chile Santiago 0.0062920
 30  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*14:12:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00625,266
 31  A*11:01-B*48:01-C*08:01-DRB1*14:12  Japan pop 16 0.005018,604
 32  A*24:02-B*07:02-C*07:02-DRB1*14:12  Japan pop 16 0.005018,604
 33  A*26:01-B*51:01-C*15:02-DRB1*14:12  Japan pop 16 0.005018,604
 34  A*02:01-B*40:06-C*15:02-DRB1*14:127-DQB1*05:03  India South UCBB 0.004411,446
 35  A*29-B*55-DRB1*14:125  Chile Santiago 0.0030920
 36  A*68:01:02-B*40:02:01-C*03:04:01-DRB1*14:12:01-DQB1*06:03:01  Poland BMR 0.002123,595
 37  A*11:01-B*51:01-C*15:02-DRB1*14:12-DQB1*03:01  Belgium 0.002031,412
 38  A*03-B*38-DRB1*14:125  Chile Santiago 0.0013920
 39  A*03:02-B*15:01-DRB1*14:12  Israel USSR Jews 0.001145,681
 40  A*24:02-B*15:01-DRB1*14:12  Israel USSR Jews 0.001145,681
 41  A*30:04-B*51:01-DRB1*14:12  Israel USSR Jews 0.001145,681
 42  A*33:01-B*58:01-DRB1*14:12  Israel USSR Jews 0.001145,681
 43  A*11-B*51-DRB1*14:125  Chile Santiago 0.0007252920
 44  A*01-B*40-DRB1*14:122  Chile Santiago 0.0001457920

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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