Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 1 to 68 (from 68) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.9804153
 2  A*11:01-B*44:02-C*07:04-E*01:01:01-F*01:01:02-G*01:06-DRB1*11:01-DQA1*06:01-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 3  A*68:01-B*44:02-C*07:04-E*01:01:01-F*01:01:02-G*01:01-DRB1*11:01-DQA1*05:05-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 4  A*68:01:02:02-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 5  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.39941,075
 6  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 7  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 8  A*68:01:01:02-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 9  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.244623,595
 10  A*68:01:02-B*44:02:01-C*07:04:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 11  A*68:01:02:02-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.19851,510
 12  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.13593,456,066
 13  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.12893,456,066
 14  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.12341,075
 15  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*03:01  Russia Karelia 0.11781,075
 16  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.11045,849
 17  A*25:01:01-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.09931,510
 18  A*02:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.097323,595
 19  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.08702,411
 20  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.07453,456,066
 21  A*25:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.073023,595
 22  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.06204,856
 23  A*31:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05631,075
 24  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 25  A*23:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 26  A*03:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.04543,456,066
 27  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 28  A*03:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 29  A*31:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 30  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 31  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India East UCBB 0.04162,403
 32  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.03933,456,066
 33  A*03:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.035623,595
 34  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 35  A*02:05-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 36  A*03:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 37  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 38  A*03:01:01:01-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03331,510
 39  A*68:01:02:01-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 40  A*25:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 41  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.02933,456,066
 42  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.02713,456,066
 43  A*11:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.02635,849
 44  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.02404,856
 45  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India Central UCBB 0.02384,204
 46  A*25:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.02373,456,066
 47  A*11:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.02201,772
 48  A*01:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.02093,456,066
 49  A*11:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India East UCBB 0.02082,403
 50  A*30:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.020523,595
 51  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.02012,492
 52  A*24:02:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.020023,595
 53  A*03:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01793,456,066
 54  A*01:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.015323,595
 55  A*01:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01463,456,066
 56  A*24:02-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01233,456,066
 57  A*11:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01204,856
 58  A*31:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01194,204
 59  A*32:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01113,456,066
 60  A*03:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 61  A*34:02-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 62  A*03:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 63  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 64  A*24:02-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  India West UCBB 0.00785,829
 65  A*03:02:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 66  A*34:02:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 67  A*26:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001323,595
 68  A*26:08-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000133523,595

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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