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 100 (from 645) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.000812623,595
 2  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002023,595
 3  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*04:01:01-DPB1*01:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 4  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.004823,595
 5  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.003023,595
 6  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*04:04:01-DQB1*06:02:01  Poland BMR 0.002123,595
 7  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*04:08-DQB1*03:01:01  Poland BMR 0.002323,595
 8  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.000482323,595
 9  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*08:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 10  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.025423,595
 11  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 12  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*06:09:01  Poland BMR 0.002123,595
 13  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 14  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006623,595
 15  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002923,595
 16  A*01:01:01-B*40:02:01-C*02:02:02-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.008323,595
 17  A*01:01-B*40:02-C*02:02  Italy pop 5 0.0900975
 18  A*01:01-B*40:02-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  England North West 0.2000298
 19  A*01:01-B*40:02-C*02:02-DRB1*01:01  Poland DKMS 0.000400020,653
 20  A*01:01-B*40:02-C*02:02-DRB1*01:03  Germany DKMS - France minority 0.03601,406
 21  A*01:01-B*40:02-C*02:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 22  A*01:01-B*40:02-C*02:02-DRB1*04:01  Poland DKMS 0.004920,653
 23  A*01:01-B*40:02-C*02:02-DRB1*04:02  Germany DKMS - Croatia minority 0.02402,057
 24  A*01:01-B*40:02-C*02:02-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 25  A*01:01-B*40:02-C*02:02-DRB1*04:03-DQB1*03:04  Germany DKMS - Italy minority 0.04301,159
 26  A*01:01-B*40:02-C*02:02-DRB1*04:04  Germany DKMS - France minority 0.07101,406
 27  A*01:01-B*40:02-C*02:02-DRB1*04:04  Germany DKMS - United Kingdom minority 0.04801,043
 28  A*01:01-B*40:02-C*02:02-DRB1*04:04  Poland DKMS 0.005220,653
 29  A*01:01-B*40:02-C*02:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.01201,999
 30  A*01:01-B*40:02-C*02:02-DRB1*04:07-DQB1*06:02-DPB1*01:01  Panama 0.1900462
 31  A*01:01-B*40:02-C*02:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 32  A*01:01-B*40:02-C*02:02-DRB1*08:01  Germany DKMS - Croatia minority 0.02402,057
 33  A*01:01-B*40:02-C*02:02-DRB1*09:01  Germany DKMS - United Kingdom minority 0.04801,043
 34  A*01:01-B*40:02-C*02:02-DRB1*09:01  Poland DKMS 0.004220,653
 35  A*01:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 36  A*01:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Netherlands minority 0.06001,374
 37  A*01:01-B*40:02-C*02:02-DRB1*11:01  Poland DKMS 0.035320,653
 38  A*01:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 39  A*01:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 40  A*01:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01073,456,066
 41  A*01:01-B*40:02-C*02:02-DRB1*11:04  Poland DKMS 0.003720,653
 42  A*01:01-B*40:02-C*02:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 43  A*01:01-B*40:02-C*02:02-DRB1*13:01  Germany DKMS - Netherlands minority 0.17801,374
 44  A*01:01-B*40:02-C*02:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 45  A*01:01-B*40:02-C*02:02-DRB1*14:01-DQB1*05:03-DPB1*03:01  Russia Karelia 0.05611,075
 46  A*01:01-B*40:02-C*02:02-DRB1*15:01  Germany DKMS - Austria minority 0.02901,698
 47  A*01:01-B*40:02-C*02:02-DRB1*15:01  Germany DKMS - Netherlands minority 0.03601,374
 48  A*01:01-B*40:02-C*02:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.14601,028
 49  A*01:01-B*40:02-C*02:02-DRB1*16:01  Germany DKMS - Netherlands minority 0.03601,374
 50  A*01:01-B*40:02-C*02:02-DRB1*16:01  Poland DKMS 0.008320,653
 51  A*01:01-B*40:02-C*02:02-DRB1*16:01-DQB1*05:02  Colombia Bogotá Cord Blood 0.03421,463
 52  A*01:01-B*40:02-C*02:02-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.04301,159
 53  A*01:01-B*40:02-C*02:02-DRB1*16:02  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 54  A*01:01-B*40:02-C*02:02-DRB1*16:02  Germany DKMS - Croatia minority 0.07102,057
 55  A*01:01-B*40:02-C*02:02-DRB1*16:02  Poland DKMS 0.006620,653
 56  A*01:01-B*40:02-C*02:02-DRB1*16:02-DQB1*05:02  Germany DKMS - Turkey minority 0.01104,856
 57  A*02:01:01:01-B*40:02:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.09931,510
 58  A*02:01:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06751,510
 59  A*02:01:01:01-B*40:02:01-C*02:02:02-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 60  A*02:01:01:01-B*40:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03351,510
 61  A*02:01:01-B*40:02:01-C*02:02:02  England Blood Donors of Mixed Ethnicity 0.7707519
 62  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 63  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.009223,595
 64  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.002623,595
 65  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.000239023,595
 66  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*04:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 67  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002323,595
 68  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*04:08-DQB1*03:01:01  Poland BMR 0.001923,595
 69  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*04:08-DQB1*04:02:01  Poland BMR 0.002123,595
 70  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.007223,595
 71  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.006323,595
 72  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.007923,595
 73  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.008023,595
 74  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 75  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.146823,595
 76  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 77  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.007223,595
 78  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.002023,595
 79  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.003923,595
 80  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.040723,595
 81  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002223,595
 82  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*13:03:01-DQB1*02:01:01  Poland BMR 0.002123,595
 83  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 84  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.003423,595
 85  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.016123,595
 86  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.021323,595
 87  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 88  A*02:01:01-B*40:02:01-C*02:02:02-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.005023,595
 89  A*02:01-B*40:02-C*02:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.04701,374
 90  A*02:01-B*40:02-C*02:02-DRB1*01:01  Poland DKMS 0.027420,653
 91  A*02:01-B*40:02-C*02:02-DRB1*01:02  Germany DKMS - United Kingdom minority 0.04801,043
 92  A*02:01-B*40:02-C*02:02-DRB1*01:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 93  A*02:01-B*40:02-C*02:02-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 94  A*02:01-B*40:02-C*02:02-DRB1*03:01  Germany DKMS - Austria minority 0.08801,698
 95  A*02:01-B*40:02-C*02:02-DRB1*03:01  Germany DKMS - Portugal minority 0.07101,176
 96  A*02:01-B*40:02-C*02:02-DRB1*03:01  Germany DKMS - Spain minority 0.04501,107
 97  A*02:01-B*40:02-C*02:02-DRB1*03:01  Poland DKMS 0.008220,653
 98  A*02:01-B*40:02-C*02:02-DRB1*04:01  Germany DKMS - Spain minority 0.06201,107
 99  A*02:01-B*40:02-C*02:02-DRB1*04:01  Germany DKMS - France minority 0.03601,406
 100  A*02:01-B*40:02-C*02:02-DRB1*04:01  Germany DKMS - Croatia minority 0.03602,057

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).


Displaying 1 to 100 (from 645) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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