Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 68 (from 68) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02:01-B*38:02:01-C*04:03:01-DRB1*11:129-DQB1*05:02:01  Vietnam Kinh 0.4950101
 2  A*11:01:01-B*15:25:01-C*04:03:01-DRB1*11:129-DPB1*31:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.10475,266
 3  A*68:01-B*35:03-C*04:01-DRB1*11:12  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 4  A*02:05-B*50:01-C*06:02-DRB1*11:12  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 5  A*68:01-B*35:03-C*04:01-DRB1*11:12  Germany DKMS - Croatia minority 0.04902,057
 6  A*24-B*35-DRB1*11:128  Chile Santiago 0.0424920
 7  A*30:04-B*49:01-C*07:01-DRB1*11:12  Germany DKMS - France minority 0.03601,406
 8  A*03-B*44-DRB1*11:121  Chile Santiago 0.0323920
 9  A*03:01-B*52:01-C*12:02-DRB1*11:12  Germany DKMS - Austria minority 0.02901,698
 10  A*02-B*39-DRB1*11:128  Chile Santiago 0.0272920
 11  A*25:01-B*18:01-C*12:03-DRB1*11:12  Germany DKMS - Croatia minority 0.02402,057
 12  A*23:01-B*44:03-C*04:01-DRB1*11:12-DQB1*03:01  Germany DKMS - Turkey minority 0.02104,856
 13  A*24:02-B*35:03-C*04:01-DRB1*11:12-DQB1*03:01  India East UCBB 0.02082,403
 14  A*11:01:01-B*15:25:01-C*04:03:01-DRB1*11:129-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 15  A*11:01:01-B*40:02:01-C*15:02:01-DRB1*11:129-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 16  A*24:02:01-B*07:06:01-C*07:02:01-DRB1*11:129-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 17  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*11:129-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 18  A*01-B*08-DRB1*11:123  Chile Santiago 0.0181920
 19  A*26-B*40-DRB1*11:128  Chile Santiago 0.0181920
 20  A*29-B*44-DRB1*11:123  Chile Santiago 0.0180920
 21  A*29-B*44-DRB1*11:128  Chile Santiago 0.0180920
 22  A*01-B*38-DRB1*11:128  Chile Santiago 0.0148920
 23  A*68:01-B*35:03-C*04:01-DRB1*11:12  Poland DKMS 0.014020,653
 24  A*02:07:01-B*15:25:01-C*04:03:01-DRB1*11:129-DPB1*31:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01395,266
 25  A*02-B*18-DRB1*11:123  Chile Santiago 0.0137920
 26  A*02-B*18-DRB1*11:128  Chile Santiago 0.0137920
 27  A*23-B*44-DRB1*11:123  Chile Santiago 0.0136920
 28  A*01:01-B*15:01-C*03:03-DRB1*11:12-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 29  A*01:01-B*35:03-C*04:01-DRB1*11:12-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 30  A*02:05-B*44:03-C*04:01-DRB1*11:12-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 31  A*03:01-B*35:03-C*04:01-DRB1*11:12-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 32  A*68:01-B*35:03-C*04:01-DRB1*11:12-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 33  A*68-B*39-DRB1*11:121  Chile Santiago 0.0097920
 34  A*11:02:01-B*07:06:01-C*07:02:01-DRB1*11:129-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 35  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*11:129-DPB1*31:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 36  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*11:129-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 37  A*03:01-B*52:01-C*12:02-DRB1*11:12-DQB1*03:01  India North UCBB 0.00855,849
 38  A*29:01-B*35:01-DRB1*11:12  Israel Druze 0.00855,914
 39  A*31:01-B*44:02-DRB1*11:12  Israel Druze 0.00855,914
 40  A*02:07:01-B*67:01:01-C*07:02:01-DRB1*11:129-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00845,266
 41  A*11:01:01-B*40:02:01-C*15:02:01-DRB1*11:129-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00825,266
 42  A*01:01-B*35:01-DRB1*11:12  Israel Arab pop 2 0.008112,301
 43  A*01-B*49-DRB1*11:121  Chile Santiago 0.0078920
 44  A*02-B*07-DRB1*11:120  Chile Santiago 0.0070920
 45  A*02-B*07-DRB1*11:121  Chile Santiago 0.0070920
 46  A*68:01:02-B*35:03:01-C*04:01:01-DRB1*11:12:01-DQB1*03:01:01  Poland BMR 0.006423,595
 47  A*68-B*51-DRB1*11:121  Chile Santiago 0.0058920
 48  A*02-B*15-DRB1*11:121  Chile Santiago 0.0055920
 49  A*11:01-B*35:03-C*04:01-DRB1*11:12  Poland DKMS 0.005020,653
 50  A*03:01-B*52:01-C*12:02-DRB1*11:12-DQB1*03:01  India South UCBB 0.004411,446
 51  A*11:01-B*35:03-C*04:01-DRB1*11:12-DQB1*03:01  India South UCBB 0.004411,446
 52  A*30:01-B*39:31-DRB1*11:12  Israel Arab pop 2 0.004112,301
 53  A*01-B*35-DRB1*11:128  Chile Santiago 0.0033920
 54  A*30-B*18-DRB1*11:128  Chile Santiago 0.0029920
 55  A*02-B*51-DRB1*11:120  Chile Santiago 0.0029920
 56  A*02-B*51-DRB1*11:121  Chile Santiago 0.0029920
 57  A*02:01-B*35:01-C*15:02-DRB1*11:12  Poland DKMS 0.002420,653
 58  A*02:01-B*49:01-C*07:01-DRB1*11:12  Poland DKMS 0.002420,653
 59  A*30:01-B*13:02-C*06:02-DRB1*11:12  Poland DKMS 0.002420,653
 60  A*74-B*15-DRB1*11:121  Chile Santiago 0.0022920
 61  A*03:01:01-B*52:01:01-C*12:02:02-DRB1*11:12:01-DQB1*02:02:01  Poland BMR 0.002123,595
 62  A*03:01:01-B*52:01:01-C*12:02:02-DRB1*11:12:01-DQB1*03:01:01  Poland BMR 0.002123,595
 63  A*11:01:01-B*35:03:01-C*04:01:01-DRB1*11:12:01-DQB1*02:01:01  Poland BMR 0.002123,595
 64  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*11:12:01-DQB1*06:03:01  Poland BMR 0.002123,595
 65  A*01:01-B*35:03-C*04:01-DRB1*11:12  Poland DKMS 0.002120,653
 66  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*11:12:01-DQB1*03:01:01  Poland BMR 0.002123,595
 67  A*03:01-B*49:01-DRB1*11:12  Israel USSR Jews 0.001145,681
 68  A*68:01-B*51:01-C*15:02-DRB1*11:12  Poland DKMS 0.000500020,653

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional