Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 54 (from 54) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Tunisia 3.0000100
 2  A*24:02-B*08:01-DRB1*03:01-DQB1*02:01  Tunisia Gabes 1.570095
 3  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.72445,849
 4  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.667228,927
 5  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  India Karnataka Kannada Speaking 0.5750174
 6  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.55304,856
 7  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.51684,204
 8  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.4204570
 9  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Northeast UCBB 0.3378296
 10  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.3138570
 11  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.31302,403
 12  A*24:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 13  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.30965,829
 14  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.26685,926
 15  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 16  A*24:02-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.1900462
 17  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.18701,999
 18  A*24:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.182823,595
 19  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.17301,159
 20  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 21  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 22  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 23  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Italy pop 5 0.1400975
 24  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.13542,492
 25  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.11531,075
 26  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.103411,446
 27  A*24:02-B*08:01-C*02:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.08314,204
 28  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 29  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 30  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.06163,456,066
 31  A*24:02-B*08:01-C*02:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.06155,849
 32  A*24:02-B*08:01-C*02:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.06005,829
 33  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.05803,456,066
 34  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.05804,856
 35  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.05731,734
 36  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.05601,159
 37  A*24:02-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 38  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*03:01  United Arab Emirates Pop 1 0.0467570
 39  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.04401,772
 40  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03731,463
 41  A*24:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.033123,595
 42  A*24:02:01:01-B*08:01:01-C*07:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 43  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.01743,456,066
 44  A*24:02-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.01715,849
 45  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.01293,456,066
 46  A*24:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01263,456,066
 47  A*24:02-B*08:01-C*05:01-DRB1*03:01-DQB1*02:01  India Central UCBB 0.01194,204
 48  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.01101,772
 49  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01033,456,066
 50  A*24:02-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 51  A*24:02-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 52  A*24:02:01-B*08:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.008523,595
 53  A*24:02-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.005711,446
 54  A*24:02:01-B*08:01:01-C*03:03:01-DRB1*03:01:01-DQB1*02:01:01  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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