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 122) 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-DQB1*06:03  India Central UCBB 0.02674,204
 3  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.07672,492
 4  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.058011,446
 5  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.03965,829
 6  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.06375,849
 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*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
 10  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
 11  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
 12  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
 13  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
 14  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
 15  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01104,856
 16  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.02015,849
 17  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.04162,403
 18  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 19  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
 20  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
 21  A*02:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 22  A*02:06-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.01675,849
 23  A*02:06-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.00924,204
 24  A*02:11-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.00254,204
 25  A*02:11-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.012611,446
 26  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
 27  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
 28  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
 29  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
 30  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
 31  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 32  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.04304,856
 33  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02452,492
 34  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.041011,446
 35  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.11985,849
 36  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.04784,204
 37  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.09295,829
 38  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.05452,403
 39  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 40  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.14001,999
 41  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
 42  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
 43  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.15781,075
 44  A*03:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.04162,403
 45  A*03:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.00545,849
 46  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
 47  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 48  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
 49  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.07204,856
 50  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.10762,492
 51  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.20124,204
 52  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.29962,403
 53  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.216811,446
 54  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.03785,849
 55  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.19995,829
 56  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 57  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 58  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.17801,772
 59  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
 60  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
 61  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.13101,075
 62  A*11:05-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 63  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
 64  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
 65  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
 66  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
 67  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 68  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.15004,856
 69  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.06982,492
 70  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.09885,849
 71  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.01625,829
 72  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.082511,446
 73  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01424,204
 74  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
 75  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.12561,075
 76  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*13:01  Russia Karelia 0.11291,075
 77  A*24:07-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.01472,492
 78  A*24:07-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.01705,829
 79  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
 80  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
 81  A*26:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 82  A*26:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.02112,403
 83  A*26:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01494,204
 84  A*26:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.02235,849
 85  A*26:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.07755,829
 86  A*26:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.027211,446
 87  A*29:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 88  A*29:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 89  A*29:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 90  A*30:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 91  A*30:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01804,856
 92  A*30:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 93  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 94  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02252,492
 95  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.006011,446
 96  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.01825,849
 97  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.06804,204
 98  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 99  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.04401,772
 100  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004723,595

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).


Displaying 1 to 100 (from 122) 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