Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 83 (from 83) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 2  A*74:01-B*14:02-C*08:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 3  A*33:01-B*14:02-C*08:02-E*01:01:01-F*01:01:02-G*01:03-DRB1*07:01-DQA1*02:01-DQB1*03:03:02  Portugal Azores Terceira Island 0.4386130
 4  A*24:02:01:01-B*14:02:01-C*08:02:01:01-DRB1*07:01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 5  A*03:01-B*14:02:01-C*08:02-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 6  A*33:01-B*14:02-C*08:02-DRB1*07:01  Italy pop 5 0.2000975
 7  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 8  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 9  A*01:01-B*14:02-C*08:02-DRB1*07:01-DQB1*05:02-DPB1*04:01  Panama 0.1900462
 10  A*23:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.17402,411
 11  A*11:01-B*14:02-C*08:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.1400975
 12  A*11:01-B*14:02-C*08:02-DRB1*07:01-DQB1*05:01  Italy pop 5 0.1400975
 13  A*11:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Spain minority 0.13601,107
 14  A*29:02-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.13102,411
 15  A*02:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Romania minority 0.12201,234
 16  A*02:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 17  A*01:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.09501,043
 18  A*02:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Portugal minority 0.08601,176
 19  A*01:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Romania minority 0.08101,234
 20  A*30:02-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.07902,411
 21  A*29:02-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - France minority 0.07101,406
 22  A*33:01-B*14:02-C*08:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 23  A*03:01:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06621,510
 24  A*33:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.05001,028
 25  A*03:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.04801,043
 26  A*23:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.04801,043
 27  A*02:01-B*14:02-C*08:02-DRB1*07:01-DQB1*03:03  USA Hispanic pop 2 0.04701,999
 28  A*03:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 29  A*74:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 30  A*68:02-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Spain minority 0.04501,107
 31  A*33:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 32  A*74:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 33  A*01:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Portugal minority 0.04301,176
 34  A*01:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 35  A*29:02-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Romania minority 0.04101,234
 36  A*33:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Romania minority 0.04101,234
 37  A*33:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - China minority 0.03901,282
 38  A*01:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Netherlands minority 0.03601,374
 39  A*33:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03561,463
 40  A*02:05-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 41  A*68:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 42  A*01:01-B*14:02-C*08:02-DRB1*07:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 43  A*24:02-B*14:02-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 44  A*33:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 46  A*24:02:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 47  A*03:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Austria minority 0.02901,698
 48  A*24:02-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Austria minority 0.02901,698
 49  A*29:02-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Austria minority 0.02901,698
 50  A*68:02-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Austria minority 0.02901,698
 51  A*03:01-B*14:02-C*08:02-DRB1*07:01  Poland DKMS 0.028120,653
 52  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.028023,595
 53  A*33:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02804,856
 54  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.027023,595
 55  A*33:01-B*14:02-C*08:02-DRB1*07:01  Germany DKMS - Croatia minority 0.02602,057
 56  A*01:01-B*14:02-C*08:02-DRB1*07:01  Poland DKMS 0.016820,653
 57  A*29:02-B*14:02-C*08:02-DRB1*07:01  Poland DKMS 0.012020,653
 58  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*03:01:01  Poland BMR 0.011323,595
 59  A*29:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.010423,595
 60  A*01:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 61  A*02:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 62  A*02:02-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 63  A*29:01-B*14:02-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 64  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DPB1*10:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 65  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.007323,595
 66  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.006323,595
 67  A*33:01-B*14:02-C*08:02-DRB1*07:01  Poland DKMS 0.005820,653
 68  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.005123,595
 69  A*02:01-B*14:02-C*08:02-DRB1*07:01  Poland DKMS 0.005120,653
 70  A*66:01-B*14:02-C*08:02-DRB1*07:01  Poland DKMS 0.004820,653
 71  A*68:02-B*14:02-C*08:02-DRB1*07:01  Poland DKMS 0.004820,653
 72  A*30:01-B*14:02-C*08:02-DRB1*07:01  Poland DKMS 0.004320,653
 73  A*11:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 74  A*66:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 75  A*26:01-B*14:02-C*08:02-DRB1*07:01  Poland DKMS 0.003820,653
 76  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.003023,595
 77  A*03:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002423,595
 78  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*03:01:01  Poland BMR 0.002223,595
 79  A*01:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 80  A*33:05-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 81  A*68:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 82  A*68:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 83  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001323,595

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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