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 134) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.019623,595
 2  A*01:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - China minority 0.03901,282
 3  A*01:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Spain minority 0.13601,107
 4  A*01:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - France minority 0.03601,406
 5  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.07672,492
 6  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.02674,204
 7  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 8  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.05671,075
 9  A*01:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:08  USA African American pop 4 0.04402,411
 10  A*02:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 11  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01  Nicaragua Mestizo (G) 0.3226155
 12  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 13  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.048823,595
 14  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 15  A*02:01:09-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 16  A*02:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - France minority 0.25101,406
 17  A*02:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Romania minority 0.20401,234
 18  A*02:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Greece minority 0.02901,894
 19  A*02:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Croatia minority 0.17202,057
 20  A*02:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Spain minority 0.05201,107
 21  A*02:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Austria minority 0.15001,698
 22  A*02:01-B*35:01-C*04:01-DRB1*13:01  Poland DKMS 0.038620,653
 23  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  Nicaragua Managua 0.2165339
 24  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:07Q-DQB1*05:03  Brazil Puyanawa 0.3333150
 25  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01104,856
 26  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 27  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.01433,456,066
 28  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.01073,456,066
 29  A*02:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 30  A*02:06-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.00924,204
 31  A*02:11-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Croatia minority 0.02402,057
 32  A*02:11-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.00254,204
 33  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 34  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQA1*01:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 35  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.057923,595
 36  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 37  A*03:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Greece minority 0.12801,894
 38  A*03:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Romania minority 0.04201,234
 39  A*03:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Netherlands minority 0.15701,374
 40  A*03:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Portugal minority 0.04301,176
 41  A*03:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Spain minority 0.04501,107
 42  A*03:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 43  A*03:01-B*35:01-C*04:01-DRB1*13:01  Poland DKMS 0.024220,653
 44  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  Sri Lanka Colombo 0.0700714
 45  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 46  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.04304,856
 47  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02452,492
 48  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.04784,204
 49  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 50  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.14001,999
 51  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02613,456,066
 52  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.02583,456,066
 53  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.15781,075
 54  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:04  USA African American pop 4 0.01102,411
 55  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:11  USA Hispanic pop 2 0.04701,999
 56  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00855,266
 57  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 58  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.044123,595
 59  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:04:01  Poland BMR 0.002123,595
 60  A*11:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Croatia minority 0.21902,057
 61  A*11:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Romania minority 0.12101,234
 62  A*11:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Spain minority 0.23301,107
 63  A*11:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Portugal minority 0.12901,176
 64  A*11:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - France minority 0.07101,406
 65  A*11:01-B*35:01-C*04:01-DRB1*13:01  Poland DKMS 0.051920,653
 66  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 67  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.4202714
 68  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.07204,856
 69  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.10762,492
 70  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.20124,204
 71  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 72  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 73  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.17801,772
 74  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02023,456,066
 75  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.02003,456,066
 76  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.13101,075
 77  A*11:05-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 78  A*23:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 79  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.07811,510
 80  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 81  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.026923,595
 82  A*24:02-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - France minority 0.10201,406
 83  A*24:02-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Greece minority 0.13501,894
 84  A*24:02-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Croatia minority 0.14602,057
 85  A*24:02-B*35:01-C*04:01-DRB1*13:01  Poland DKMS 0.045220,653
 86  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 87  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 88  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.15004,856
 89  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.06982,492
 90  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.01424,204
 91  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01483,456,066
 92  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.12561,075
 93  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*13:01  Russia Karelia 0.11291,075
 94  A*24:07-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.01472,492
 95  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006023,595
 96  A*25:01-B*35:01-C*04:01-DRB1*13:01  Poland DKMS 0.007520,653
 97  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.011523,595
 98  A*26:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Portugal minority 0.04301,176
 99  A*26:01-B*35:01-C*04:01-DRB1*13:01  Germany DKMS - Romania minority 0.04101,234
 100  A*26:01-B*35:01-C*04:01-DRB1*13:01  Poland DKMS 0.003720,653

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).


Displaying 1 to 100 (from 134) 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