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 187) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Iran Gorgan 2.340064
 2  A*66:03-B*35:01-C*04:01-DRB1*11:01  Brazil Vale do Ribeira Quilombos 1.7361144
 3  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 4  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Indian 0.9225271
 5  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:05-DQB1*03:19  Mexico Tixcacaltuyub Maya 0.746367
 6  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.7020356
 7  A*02:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Italy pop 5 0.5900975
 8  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.5620356
 9  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 10  A*11:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.5208192
 11  A*03:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Netherlands minority 0.49301,374
 12  A*66:01-B*35:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*11:01-DQA1*03:01-DQB1*03:02  Portugal Azores Terceira Island 0.4386130
 13  A*32:01:01-B*35:01:10-C*04:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 14  A*32:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.41222,492
 15  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 16  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.34501,159
 17  A*03:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Bosnia and Herzegovina minority 0.29201,028
 18  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.28804,856
 19  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 20  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 21  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 22  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.22404,856
 23  A*02:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - France minority 0.22201,406
 24  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.2101714
 25  A*11:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Romania minority 0.20301,234
 26  A*11:01-B*35:01-C*04:01-DRB1*11:01  Italy pop 5 0.2000975
 27  A*03:01-B*35:01-C*04:01-DRB1*11:01  Poland DKMS 0.191220,653
 28  A*11:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Greece minority 0.18901,894
 29  A*30:02-B*35:01-C*04:01-DRB1*11:01-DQB1*06:02  USA African American pop 4 0.17402,411
 30  A*11:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Portugal minority 0.16401,176
 31  A*32:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.15204,856
 32  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 33  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.134123,595
 34  A*32:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.13301,772
 35  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.12901,159
 36  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.11801,075
 37  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA NMDP Black South or Central American 0.11794,889
 38  A*32:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.1052951
 39  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.104823,595
 40  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 41  A*03:01-B*35:01-C*04:01-DRB1*11:01  Italy pop 5 0.1000975
 42  A*26:01-B*35:01-C*04:01-DRB1*11:01  Italy pop 5 0.1000975
 43  A*32:01-B*35:01-C*04:01-DRB1*11:01  Italy pop 5 0.1000975
 44  A*01:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 45  A*32:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - United Kingdom minority 0.09601,043
 46  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 47  A*32:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.09401,999
 48  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India UCBB_Central Indian HLA 0.09394,204
 49  A*11:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Spain minority 0.09001,107
 50  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India UCBB_Central Indian HLA 0.08794,204
 51  A*02:01-B*35:01-C*04:01-DRB1*11:01-DQB1*06:02  USA African American pop 4 0.08702,411
 52  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.08702,411
 53  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*06:02  USA African American pop 4 0.08702,411
 54  A*68:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.08702,411
 55  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.08601,159
 56  A*11:01-B*35:01-C*04:01-DRB1*11:01  Poland DKMS 0.085920,653
 57  A*11:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Croatia minority 0.08502,057
 58  A*02:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Spain minority 0.08401,107
 59  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.08342,492
 60  A*24:02-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - China minority 0.07801,282
 61  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.07692,492
 62  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.07681,075
 63  A*26:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.07504,856
 64  A*32:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India UCBB_Central Indian HLA 0.07484,204
 65  A*32:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Netherlands minority 0.07301,374
 66  A*01:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Greece minority 0.07201,894
 67  A*02:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Austria minority 0.07101,698
 68  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 69  A*26:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 70  A*32:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*09:01  Sri Lanka Colombo 0.0700714
 71  A*32:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*83:01  Sri Lanka Colombo 0.0700714
 72  A*33:03-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.0700714
 73  A*33:03-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 74  A*31:01-B*35:01-C*04:01-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 75  A*11:01:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 76  A*11:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Netherlands minority 0.06301,374
 77  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  India UCBB_Central Indian HLA 0.06134,204
 78  A*24:02-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Croatia minority 0.05902,057
 79  A*24:02-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Greece minority 0.05801,894
 80  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.05431,510
 81  A*03:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.05304,856
 82  A*03:02-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Greece minority 0.05301,894
 83  A*11:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 84  A*24:07-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 85  A*02:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Portugal minority 0.05201,176
 86  A*01:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Spain minority 0.04801,107
 87  A*11:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - United Kingdom minority 0.04801,043
 88  A*31:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 89  A*01:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.04402,411
 90  A*02:02-B*35:01-C*04:01-DRB1*11:01-DQB1*05:01  USA African American pop 4 0.04402,411
 91  A*03:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Greece minority 0.04401,894
 92  A*24:03-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 93  A*29:02-B*35:01-C*04:01-DRB1*11:01-DQB1*06:02  USA African American pop 4 0.04402,411
 94  A*02:01-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 95  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 96  A*24:03-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.04301,159
 97  A*03:02-B*35:01-C*04:01-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.04204,856
 98  A*01:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Romania minority 0.04101,234
 99  A*25:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Romania minority 0.04101,234
 100  A*26:01-B*35:01-C*04:01-DRB1*11:01  Germany DKMS - Romania minority 0.04101,234

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 187) records   Pages: 1 2 of 2  


   

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