Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 82 (from 82) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*68:02-B*14:02-C*08:02-DRB1*13:03  South Africa Caucasians 1.1100102
 2  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.5210496
 3  A*68:02-B*14:02-C*08:02-DRB1*13:03  Russia Bering Island Aleuts 0.4808104
 4  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 5  B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 6  A*11:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*02:01:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 7  A*68:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Portugal minority 0.29801,176
 8  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Russia Karelia 0.28231,075
 9  A*68:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Spain minority 0.27101,107
 10  A*68:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Austria minority 0.26501,698
 11  A*68:02:01:01-B*14:02:01-C*08:02:01:01-DRB1*13:03:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 12  A*68:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Netherlands minority 0.25501,374
 13  A*68:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - France minority 0.24901,406
 14  A*68:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Romania minority 0.24301,234
 15  A*68:02-B*14:02:01-C*08:02-DRB1*13:03:01-DQB1*03:01  England North West 0.2000298
 16  A*68:02:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.19871,510
 17  A*68:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - United Kingdom minority 0.19201,043
 18  A*68:02-B*14:02-C*08:02-DRB1*13:03  Poland DKMS 0.188720,653
 19  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  USA NMDP American Indian South or Central America 0.18415,926
 20  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.175823,595
 21  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.17433,456,066
 22  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 23  A*33:01-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Portugal minority 0.12801,176
 24  A*24:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 25  A*68:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Croatia minority 0.09702,057
 26  A*33:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 27  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.06841,463
 28  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.06833,456,066
 29  A*02:01-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - France minority 0.06701,406
 30  A*02:01-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Austria minority 0.05901,698
 31  A*03:01-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Austria minority 0.05901,698
 32  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*09:01  Russia Karelia 0.05651,075
 33  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*05:01  Russia Karelia 0.05651,075
 34  A*02:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Russia Karelia 0.05641,075
 35  A*33:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*14:01  Russia Karelia 0.05571,075
 36  A*02:01-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 37  A*02:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 38  A*02:01-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Spain minority 0.04501,107
 39  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.043123,595
 40  A*03:01-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Portugal minority 0.04301,176
 41  A*24:03-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Portugal minority 0.04301,176
 42  A*68:01-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Romania minority 0.04101,234
 43  A*23:01-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - France minority 0.03901,406
 44  A*03:01-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Netherlands minority 0.03601,374
 45  A*11:01-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Netherlands minority 0.03601,374
 46  A*24:02-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - France minority 0.03601,406
 47  A*24:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 48  A*02:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 49  A*32:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 50  A*33:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 51  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 52  A*02:01:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 53  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 54  A*03:01-B*14:02-C*08:02-DRB1*13:03  Poland DKMS 0.032220,653
 55  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 56  A*68:01-B*14:02-C*08:02-DRB1*13:03  Germany DKMS - Austria minority 0.02901,698
 57  A*24:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  USA Hispanic pop 2 0.02301,999
 58  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*02:01:01  Poland BMR 0.012723,595
 59  A*03:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01243,456,066
 60  A*02:01-B*14:02-C*08:02-DRB1*13:03  Poland DKMS 0.011720,653
 61  A*02:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01143,456,066
 62  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.011323,595
 63  A*68:02-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01-DPB1*03:01  Germany DKMS - German donors 0.01103,456,066
 64  A*03:01-B*14:02-C*08:02-DRB1*13:03-DQB1*03:01  Germany DKMS - Turkey minority 0.01004,856
 65  A*29:02-B*14:02-C*08:02-DRB1*13:03  Poland DKMS 0.009620,653
 66  A*32:01-B*14:02-C*08:02-DRB1*13:03  Poland DKMS 0.009420,653
 67  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*06:03:01  Poland BMR 0.008523,595
 68  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.008523,595
 69  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*02:02:01  Poland BMR 0.006423,595
 70  A*24:02-B*14:02-C*08:02-DRB1*13:03  Poland DKMS 0.005120,653
 71  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004523,595
 72  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004523,595
 73  A*29:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.004223,595
 74  A*23:01-B*14:02-C*08:02-DRB1*13:03  Poland DKMS 0.002420,653
 75  A*26:01:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 76  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*05:01:01  Poland BMR 0.002123,595
 77  A*29:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*02:01:01  Poland BMR 0.002123,595
 78  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*04:02:01  Poland BMR 0.002123,595
 79  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*05:02:01  Poland BMR 0.002123,595
 80  A*03:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 81  A*11:01-B*14:02-C*08:02-DRB1*13:03  Poland DKMS 0.002120,653
 82  A*30:01-B*14:02-C*08:02-DRB1*13:03  Poland DKMS 0.002120,653

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.

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