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 101 to 200 (from 1,406) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  B*58:01:01-C*03:02:01-DRB1*13:02:01  China Jingpo Minority 0.5210105
 102  A*24:02-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 0.5155194
 103  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Chinese 0.5155194
 104  A*33:01-B*58:01-C*03:02-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.5155194
 105  A*33:03-B*58:01-C*03:02-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.5068296
 106  A*01:01-B*58:01-C*03:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 107  A*02:01-B*58:01-C*03:02-DRB1*03:01-DQA1*01:01-DQB1*02:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 108  A*02:14-B*58:01-C*03:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*39:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 109  A*29:02-B*58:01-C*03:02-DRB1*11:01-DQA1*01:02-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 110  A*30:01-B*58:01-C*03:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 111  A*74:01-B*58:01-C*03:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 112  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Vietnam Kinh 0.4950101
 113  A*24:02:01-B*58:01:01-C*03:02:02-DRB1*12:02:01-DQB1*02:01:01  Vietnam Kinh 0.4950101
 114  A*32:01:01-B*58:01:01-C*03:02:01  China Jingpo Minority 0.4950105
 115  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 116  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 117  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.4950101
 118  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India South UCBB 0.490211,446
 119  A*01:02-B*58:01:01-C*03:02:01-DRB1*03:01  Costa Rica African -Caribbean (G) 0.4902102
 120  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  Sri Lanka Colombo 0.4902714
 121  A*34:02:01-B*58:01:01-C*03:02:01-DRB1*13:02:01  Costa Rica African -Caribbean (G) 0.4902102
 122  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Filipino 0.486850,614
 123  A*33:01-B*58:01-C*03:02-DRB1*03:01  Russia Bering Island Aleuts 0.4808104
 124  A*02:02-B*58:01:01-C*03:02:01-DRB1*11:01:02  Costa Rica Guanacaste Mestizo (G) 0.4545110
 125  A*02:22:01-B*58:01:01-C*03:02:01-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.4545110
 126  A*11:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 0.44481,734
 127  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Nicaragua Managua 0.4329339
 128  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.4210356
 129  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 130  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*05:01:01  Russian Federation Vologda Region 0.4202119
 131  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 132  B*58:01-C*03:02  Italy pop 5 0.4200975
 133  A*11:01:01:01-B*58:01:01-C*03:02:02-DRB1*04:01:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 134  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 135  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.40485,266
 136  A*33:01-B*58:01-C*03:02-DRB1*11:01-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 137  A*33:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01-DPB1*05:01  Panama 0.3800462
 138  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DPB1*09:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.37365,266
 139  A*24:02-B*58:01-C*03:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.3690271
 140  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Malay 0.3680951
 141  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India North UCBB 0.36155,849
 142  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Central UCBB 0.35904,204
 143  A*02:05:01-B*58:01:01-C*03:02:01-DRB1*13:01:01-DQB1*05:01:01-DPB1*03:01:01  South African Black 0.3520142
 144  A*23:17-B*58:01:01-C*03:02:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*01:01:02  South African Black 0.3520142
 145  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*14:01  Sri Lanka Colombo 0.3501714
 146  A*11:01-B*58:01-C*03:02-DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 147  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 148  B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.3497143
 149  B*58:01-C*03:02-DRB1*11:02-DQB1*03:19  Mexico Mexico City Mestizo population 0.3497143
 150  A*33:03-B*58:01-C*03:02-DRB1*13:02  Brazil Vale do Ribeira Quilombos 0.3472144
 151  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.33861,075
 152  A*33:03-B*58:01-C*03:02-DRB1*04:03-DQB1*03:02  India Northeast UCBB 0.3378296
 153  A*33:03-B*58:01-C*03:02-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.3378296
 154  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.33182,492
 155  A*23:01:01-B*58:01:01-C*03:02:01-DRB1*09:01:02  Nicaragua Mestizo (G) 0.3226155
 156  A*23:01:01-B*58:01:01-C*03:02:01-DRB1*13:02:01  Nicaragua Mestizo (G) 0.3226155
 157  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.3143186
 158  A*02:05:01-B*58:01:01-C*03:02:02-DRB1*08:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 159  A*33:03-B*58:01-C*03:02-DRB1*13:02  Japan pop 16 0.308018,604
 160  A*23:01-B*58:01-C*03:02-DRB1*03:02-DQA1*04:01-DQB1*04:02-DPB1*01:01  South Africa Worcester 0.3000159
 161  A*68:02-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*03:01  South Africa Worcester 0.3000159
 162  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Italy pop 5 0.2900975
 163  A*33:03-B*58:01-C*03:02-DRB1*09:01  Germany DKMS - China minority 0.28801,282
 164  A*01:01:01-B*58:01:01-C*03:02:01-DRB1*07:01:01-DQB1*02:01:02  India Karnataka Kannada Speaking 0.2870174
 165  A*01:01:01-B*58:01:01-C*03:02:01-DRB1*15:06:01-DQB1*05:02:01  India Karnataka Kannada Speaking 0.2870174
 166  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*04:02:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 167  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 168  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*04:03:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 169  A*33:03-B*58:01-C*03:02-DRB1*13:01  Hong Kong Chinese BMDR 0.28597,595
 170  A*11:01:01-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.2810356
 171  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.2810356
 172  A*33:03-B*58:01-C*03:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.2801714
 173  A*33:03-B*58:01-C*03:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*26:01  Sri Lanka Colombo 0.2801714
 174  A*02:01-B*58:01-C*03:02  Italy pop 5 0.2700975
 175  A*01:01:01-B*58:01:01-C*03:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 176  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*04:08:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 177  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 178  A*24:02-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.26301,772
 179  A*33:01-B*58:01-C*03:02-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.2629951
 180  A*02:01:01-B*58:01:01-C*03:02:02-DRB1*11:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 181  A*02:05:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 182  A*03:01:01:01-B*58:01:01-C*03:02:02-DRB1*09:01:02-DQB1*03:03:02  Russia Bashkortostan, Tatars 0.2604192
 183  A*24:02:01:01-B*58:01:01-C*03:02:02-DRB1*07:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 184  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 185  A*33:03-B*58:01-C*03:02-DRB1*03:81-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 0.2600496
 186  A*33:03-B*58:01-C*03:02-DRB1*13:02  Germany DKMS - Austria minority 0.26001,698
 187  A*11:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 188  A*33:01-B*58:01-C*03:02-DRB1*08:02-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 189  A*33:01-B*58:01-C*03:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 190  A*33:01-B*58:01-C*03:02-DRB1*11:01-DQB1*06:01  Malaysia Peninsular Chinese 0.2577194
 191  A*33:01-B*58:01-C*03:02-DRB1*12:02-DQB1*02:01  Malaysia Peninsular Chinese 0.2577194
 192  A*33:01-B*58:01-C*03:02-DRB1*13:02-DQB1*06:05  Malaysia Peninsular Chinese 0.2577194
 193  A*33:01-B*58:01-C*03:02-DRB1*14:82-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 194  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.255128,927
 195  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.25104,856
 196  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.24182,403
 197  A*11:01-B*58:01-C*03:02-DRB1*03:01  Hong Kong Chinese BMDR 0.23877,595
 198  A*33:03-B*58:01-C*03:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.23675,829
 199  A*33:03-B*58:01-C*03:02-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.22901,772
 200  A*03:01:01-B*58:01:01-C*03:02:01-DRB1*13:04-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221

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 101 to 200 (from 1,406) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  


   

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