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 3,244) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 33  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*11:01:01-B*39:01:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 102  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.459228,927
 103  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 104  B*15:16-C*14:02  USA Hispanic pop 2 0.45201,999
 105  A*02:01:01-B*51:01:01-C*14:02:01  England Blood Donors of Mixed Ethnicity 0.4505519
 106  A*02:01-B*51:01-C*14:02-E*01:03:01-F*01:01:01-G*01:01-DRB1*08:01-DQA1*04:01-DQB1*04:02  Portugal Azores Terceira Island 0.4386130
 107  A*02:01-B*51:01-C*14:02-E*01:03:02-F*01:01:02-G*01:01-DRB1*09:01:02-DQA1*03:02-DQB1*03:03  Portugal Azores Terceira Island 0.4386130
 108  A*03:01-B*08:01-C*14:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*08:01-DQA1*04:01-DQB1*04:02  Portugal Azores Terceira Island 0.4386130
 109  A*03:02-B*50:01-C*14:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*03:02-DQB1*03:03:02  Portugal Azores Terceira Island 0.4386130
 110  A*02:02-B*15:16-C*14:02-DRB1*03:02-DQB1*04:02  USA NMDP Caribean Indian 0.435714,339
 111  A*11:01-B*51:01-C*14:02-DRB1*09:01  Germany DKMS - China minority 0.43101,282
 112  A*11:01-B*35:01:01-C*14:02:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 113  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:02  Russia Bashkortostan, Bashkirs 0.4167120
 114  A*24:02:01:01-B*15:18:01-C*14:02:01-DRB1*14:03:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.4167120
 115  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*04:01:01-DQB1*03:04:01  Russia Bashkortostan, Bashkirs 0.4167120
 116  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.40741,734
 117  A*02:01-B*51:01-C*14:02-DRB1*04:07-DQA1*03:01-DQB1*03:01  Kosovo 0.4030124
 118  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQA1*04:01-DQB1*04:02  Kosovo 0.4030124
 119  A*03:01-B*51:01-C*14:02-DRB1*11:04-DQA1*05:05-DQB1*03:01  Kosovo 0.4030124
 120  A*11:01-B*52:01-C*14:02-DRB1*04:07-DQA1*03:01-DQB1*03:01  Kosovo 0.4030124
 121  A*02:01-B*51:01-C*14:02-DRB1*13:01  Germany DKMS - Bosnia and Herzegovina minority 0.39201,028
 122  A*31:01-B*51:01-C*14:02-DRB1*14:03  Japan pop 16 0.391018,604
 123  A*02-B*51-C*14:02-DRB1*04-DQB1*03  Russia North Ossetian 0.3900127
 124  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.39003,078
 125  A*24-B*51-C*14:02-DRB1*14-DQB1*05  Russia North Ossetian 0.3900127
 126  A*31-B*13-C*14:02-DRB1*07-DQB1*02  Russia North Ossetian 0.3900127
 127  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.37604,335
 128  A*02:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.3690271
 129  A*24:02-B*40:06-C*14:02-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Indian 0.3690271
 130  A*02:02:01-B*15:16:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*01:01:01  South African Black 0.3520142
 131  A*33:03:01-B*15:16:01-C*14:02:01-DRB1*03:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.3520142
 132  A*24:02-B*51:01-C*14:02  Italy pop 5 0.3500975
 133  A*02:01-B*51:01-C*14:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 134  A*03:01-B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 135  A*11:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 136  A*24:02-B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 137  A*29:02-B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Mexico Mexico City Mestizo population 0.3497143
 138  A*33:03-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 139  B*51:01-C*14:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 0.3497143
 140  B*51:01-C*14:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 141  B*51:01-C*14:02-DRB1*12:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 142  B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 143  B*51:01-C*14:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 144  B*51:01-C*14:02-DRB1*16:01-DQB1*05:02  Mexico Mexico City Mestizo population 0.3497143
 145  A*34:02-B*51:01-C*14:02-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.3472144
 146  A*02:01-B*51:01-C*14:02-DRB1*11:01  Germany DKMS - Greece minority 0.34701,894
 147  A*01-B*51-C*14:02-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 148  A*02-B*51-C*14:02-DRB1*14:01-DQB1*05  Russia Transbaikal Territory Buryats 0.3340150
 149  A*02-B*51-C*14:02-DRB1*15:01-DQB1*06  Russia Transbaikal Territory Buryats 0.3340150
 150  A*24-B*51-C*14:02-DRB1*04:10-DQB1*04  Russia Transbaikal Territory Buryats 0.3340150
 151  A*24-B*51-C*14:02-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 152  A*31-B*51-C*14:02-DRB1*11:01-DQB1*03  Russia Transbaikal Territory Buryats 0.3340150
 153  A*02:01-B*51:01-C*14:02-DRB1*14:01-DQA1*01:01-DQB1*05:03  Brazil Puyanawa 0.3333150
 154  A*02:01:01-B*40:01:02-C*14:02:01-DRB1*08:01:01-DQA1*05:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 155  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*03:01-DQA1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 156  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*13:05:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 157  A*32:01:01-B*51:01:01-C*14:02:01-DRB1*12:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 158  A*02:01-B*51:01-C*14:02-DRB1*16:01  Germany DKMS - Greece minority 0.32501,894
 159  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*01:03  Nicaragua Mestizo (G) 0.3226155
 160  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*13:01  Nicaragua Mestizo (G) 0.3226155
 161  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*16:01:01  Nicaragua Mestizo (G) 0.3226155
 162  A*03:01-B*51:01-C*14:02-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.3195336
 163  A*02:01-B*51:01-C*14:02-DRB1*04:07  Germany DKMS - Greece minority 0.31701,894
 164  A*02:01-B*51:02-C*14:02-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.3155951
 165  A*02:01:01-B*15:03:01-C*14:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 166  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 167  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*08:03:02-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 168  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*10:01:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 169  A*02:02:01-B*15:16:01-C*14:02:01-DRB1*12:01:01-DQB1*05:01:01-DPA1*02:01:07-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 170  A*30:02:01-B*18:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 171  A*31:01-B*51:01-C*14:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.312511,446
 172  A*02:06-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.31101,772
 173  A*11:01-B*51:01-C*14:02-DRB1*09:01  Hong Kong Chinese BMDR 0.30377,595
 174  A*02:01-B*51:01-C*14:02-DRB1*08:03-DQA1*06:01-DQB1*03:01-DPB1*03:01  South Africa Worcester 0.3000159
 175  A*23:01-B*15:03-C*14:02-DRB1*11:01-DQA1*05:11-DQB1*02:02-DPB1*105:01  South Africa Worcester 0.3000159
 176  A*02:01-B*51:01-C*14:02-DRB1*11:01-DQB1*03:01  Italy pop 5 0.2900975
 177  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.29003,078
 178  A*31:01-B*51:01-C*14:02-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.29003,078
 179  A*68:01-B*51:01-C*14:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.2900975
 180  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 181  A*02:01:01-B*51:06:01-C*14:02:01-DRB1*14:54:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 182  A*02:11:01-B*51:06:01-C*14:02:01-DRB1*15:01:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 183  A*03:01:01-B*07:05:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 184  A*11:01:01-B*51:01:01-C*14:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 185  A*11:01:01-B*51:06:01-C*14:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 186  A*24:02:01-B*40:06:01-C*14:02:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 187  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 188  A*26:01:01-B*35:03:01-C*14:02:01-DRB1*15:02:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 189  A*29:01:01-B*51:06:01-C*14:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 190  A*31:01:02-B*44:02:01-C*14:02:01-DRB1*01:01:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 191  A*68:01:02-B*52:01:01-C*14:02:01-DRB1*10:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 192  A*02:01:01-B*51:01:01-C*14:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.2810356
 193  A*03:01:01-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 194  A*68:01:02-B*51:01:01-C*14:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.2810356
 195  A*24:02-B*51:01-C*14:02-DRB1*14:03  Japan pop 16 0.276018,604
 196  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.275299,672
 197  A*02:01-B*51:01-C*14:02-DRB1*16:01  Germany DKMS - Croatia minority 0.27302,057
 198  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.27101,772
 199  A*01:01:01-B*07:06:01-C*14:02:01-DRB1*13:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 200  A*01:01:01-B*51:01:01-C*14:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186

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 3,244) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 33  


   

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