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 89 (from 89) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:02:01-B*51:01:01-C*03:04:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*03:02:01-B*51:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 3  A*03:02:01-B*35:03:01-C*12:03:01  South African Indian population 1.000050
 4  A*03:02:01-B*13:02:01-C*06:02:01-DRB1*04:05:01-DQB1*04:01:01  Vietnam Kinh 0.4950101
 5  A*03:02:01-B*38:02:01-C*08:01:01-DRB1*15:02:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 6  A*03:02:01-B*48:01:01-C*08:03:01-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 7  A*03:02:01-B*35:03:01-C*15:02:01-DRB1*14:54:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 8  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 9  A*03:02:01-B*51:01:01-C*15:04:01-DRB1*07:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 10  A*03:02:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 11  A*03:02:01-B*58:01:01-C*03:02:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.1909221
 12  A*03:02:01-B*51:06:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 13  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.126128,927
 14  A*03:02:01-B*35:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 0.0963519
 15  A*03:02:01-B*58:01:01-C*03:02:01-DRB1*03:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.0354221
 16  A*03:02:01-B*07:02:01-C*07:02:01:03-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 17  A*03:02:01-B*35:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 18  A*03:02:01-B*44:02:01:01-C*05:01:01:02-DRB1*07:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 19  A*03:02:01-B*44:02:01:01-C*16:04:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 20  A*03:02:01-B*44:02:01:03-C*07:02:01:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 21  A*03:02:01-B*44:02:01:03-C*07:04:01-DRB1*04:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 22  A*03:02:01-B*44:03:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 23  A*03:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.030823,595
 24  A*03:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 25  A*03:02:01-B*13:01:01-C*04:01:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 26  A*03:02:01-B*44:02:01-C*16:04:01-DRB1*04:02:01-DQB1*03:02:01  China Zhejiang Han 0.02881,734
 27  A*03:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.024223,595
 28  A*03:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.014623,595
 29  A*03:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.012723,595
 30  A*03:02:01-B*08:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.008623,595
 31  A*03:02:01-B*44:02:01-C*16:04:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.008523,595
 32  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.006823,595
 33  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.006623,595
 34  A*03:02:01-B*44:02:01-C*05:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.006423,595
 35  A*03:02:01-B*44:02:01-C*05:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.006423,595
 36  A*03:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004523,595
 37  A*03:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004323,595
 38  A*03:02:01-B*35:08:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.004223,595
 39  A*03:02:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 40  A*03:02:01-B*57:01:01-C*06:02:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004223,595
 41  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 42  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.004023,595
 43  A*03:02:01-B*08:01:01-C*07:02:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002223,595
 44  A*03:02:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002223,595
 45  A*03:02:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002223,595
 46  A*03:02:01-B*08:01:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 47  A*03:02:01-B*07:02:01-C*07:02:01-DRB1*11:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 48  A*03:02:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 49  A*03:02:01-B*08:01:01-C*07:02:01-DRB1*16:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 50  A*03:02:01-B*14:02:01-C*08:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 51  A*03:02:01-B*18:01:01-C*05:37-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 52  A*03:02:01-B*18:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 53  A*03:02:01-B*18:01:01-C*16:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 54  A*03:02:01-B*27:02:01-C*02:02:02-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 55  A*03:02:01-B*27:05:02-C*02:02:02-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 56  A*03:02:01-B*35:01:01-C*02:02:02-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 57  A*03:02:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 58  A*03:02:01-B*35:01:01-C*16:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 59  A*03:02:01-B*35:03:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 60  A*03:02:01-B*37:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 61  A*03:02:01-B*40:01:02-C*03:04:01-DRB1*11:01:07-DQB1*03:01:01  Poland BMR 0.002123,595
 62  A*03:02:01-B*40:01:02-C*12:03:01-DRB1*07:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 63  A*03:02:01-B*44:02:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 64  A*03:02:01-B*44:02:01-C*05:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 65  A*03:02:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 66  A*03:02:01-B*50:01:01-C*06:02:01-DRB1*11:03:01-DQB1*02:02:01  Poland BMR 0.002123,595
 67  A*03:02:01-B*51:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 68  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 69  A*03:02:01-B*51:01:01-C*15:02:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 70  A*03:02:01-B*52:01:01-C*12:02:02-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 71  A*03:02:01-B*52:01:01-C*12:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 72  A*03:02:01-B*57:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 73  A*03:02:01-B*57:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 74  A*03:02:01-B*57:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 75  A*03:02:01-B*57:03:01-C*07:01:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 76  A*03:02:01-B*57:03:01-C*07:01:02-DRB1*03:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 77  A*03:02:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 78  A*03:02:01-B*44:02:01-C*16:04:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 79  A*03:02:01-B*14:02:01-C*08:02:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.002123,595
 80  A*03:02:01-B*56:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 81  A*03:02:01-B*08:01:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 82  A*03:02:01-B*27:05:02-C*01:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 83  A*03:02:01-B*44:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 84  A*03:02:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002023,595
 85  A*03:02:01-B*27:05:02-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.001823,595
 86  A*03:02:01-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.001623,595
 87  A*03:02:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.001423,595
 88  A*03:02:01-B*18:01:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.000692523,595
 89  A*03:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.000356923,595

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional