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 48 (from 48) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01-B*50:01-DRB1*07:01-DQB1*02:02  Tunisia Gabes 1.570095
 2  A*03:01-B*50:01-DRB1*07:01  Armenia combined Regions 1.0000100
 3  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 4  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Iran Gorgan 0.780064
 5  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.5535271
 6  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.354111,446
 7  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.34702,492
 8  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.20425,829
 10  A*03:01-B*50:01-C*16:02-DRB1*07:16-DQB1*02:02  Malaysia Peninsular Indian 0.1845271
 11  A*03:01-B*50:01-DRB1*07:01  Israel Arab pop 2 0.180012,301
 12  A*03:01-B*50:01-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.17701,698
 13  A*03:01-B*50:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 0.17001,406
 14  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.164128,927
 15  A*03:01-B*50:01-DRB1*07:01-DQB1*02:01  Mexico Mexico City Tlalpan 0.1515330
 16  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:10  India Kerala Malayalam speaking 0.1400356
 17  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 18  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.13301,772
 19  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.106628,927
 20  A*03:01-B*50:01-C*04:01-DRB1*07:01  Germany DKMS - Spain minority 0.09001,107
 21  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.06504,856
 22  A*03:01-B*50:01-C*06:02-DRB1*07:01  Poland DKMS 0.059520,653
 23  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.05945,849
 24  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.04684,204
 25  A*03:01-B*50:01-C*02:02-DRB1*07:01  Germany DKMS - Spain minority 0.04501,107
 26  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 27  A*03:01-B*50:01-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 28  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:05  India Tamil Nadu 0.04012,492
 29  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 30  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 31  A*03:01-B*50:01-C*06:02-DRB1*07:01  Germany DKMS - Greece minority 0.02601,894
 32  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.02423,456,066
 33  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.022323,595
 34  A*03:01-B*50:01-DRB1*07:01  Israel Bukhara Jews 0.02162,317
 35  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 36  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01383,456,066
 37  A*03:01-B*50:01-DRB1*07:01  Israel Iran Jews 0.01218,153
 38  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:121  India Central UCBB 0.01194,204
 39  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.009411,446
 40  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.00851,463
 41  A*03:01-B*50:01-DRB1*07:01  Israel USA Jews 0.00836,058
 42  A*03:01-B*50:01-DRB1*07:01  Israel Morocco Jews 0.005936,718
 43  A*03:01-B*50:01-DRB1*07:01  Israel Poland Jews 0.005913,871
 44  A*03:01-B*50:01-DRB1*07:01  Israel Iraq Jews 0.005713,270
 45  A*03:01-B*50:01-C*06:02-DRB1*07:01  Japan pop 16 0.005018,604
 46  A*03:01-B*50:01-DRB1*07:01  Israel USSR Jews 0.004845,681
 47  A*03:01:01-B*50:01:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 48  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-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.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional