Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 101 to 200 (from 510) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*07:01-DQB1*03:03  Costa Rica Central Valley Mestizo (G) 0.0854221
 102  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*08:01:01-DQB1*03:02:01  Poland BMR 0.004323,595
 103  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.030123,595
 104  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*08:02:01-DQB1*03:02:01  Poland BMR 0.005323,595
 105  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*08:02:01-DQB1*05:02:01  Poland BMR 0.002123,595
 106  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.004023,595
 107  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004623,595
 108  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 109  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 110  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 111  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*02:02:01  Poland BMR 0.002523,595
 112  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.088823,595
 113  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*05:02:01  Poland BMR 0.004223,595
 114  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 115  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.004423,595
 116  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQB1*06:03:02  Poland BMR 0.002123,595
 117  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 118  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.011923,595
 119  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.024723,595
 120  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:04:01-DQB1*06:02:01  Poland BMR 0.004223,595
 121  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:04:01-DQB1*06:03:01  Poland BMR 0.002123,595
 122  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:07:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 123  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.037723,595
 124  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.188123,595
 125  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.9300215
 126  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 127  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01-DQA1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Russian Federation Vologda Region 0.8403119
 128  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 129  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 130  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*04:02:01  Poland BMR 0.002123,595
 131  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.019523,595
 132  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.008523,595
 133  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.005723,595
 134  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:03:01-DQB1*05:02:01  Poland BMR 0.002123,595
 135  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:03:01-DQB1*06:04:01  Poland BMR 0.002123,595
 136  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*14:54:01-DQA1*01:04:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.3268153
 137  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.008023,595
 138  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*15:01:01-DQB1*05:03:01  Poland BMR 0.002123,595
 139  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.257823,595
 140  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 141  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.006923,595
 142  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*15:40-DQB1*06:02:01  Poland BMR 0.002123,595
 143  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.051423,595
 144  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.004223,595
 145  A*01:01:01-B*08:01:01-C*07:01:02  South African Indian population 1.000050
 146  A*01:01:01-B*08:01:02-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.006423,595
 147  A*01:01:01-B*08:01:02-C*07:01:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 148  A*01:01:01-B*08:01:04-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.007123,595
 149  A*01:01:01-B*08:01:04-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 150  A*01:01:01-B*08:01:08-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 151  A*01:01:01-B*08:01-C*07:01-DRB1*03:01  South Africa Caucasians 8.8900102
 152  A*01:01:33-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 153  A*01:01-B*08:01-C*07:01  Ireland Northern 11.40001,000
 154  A*01:01-B*08:01-C*07:01  Ireland South 14.7000250
 155  A*01:01-B*08:01-C*07:01  Italy pop 5 3.6900975
 156  A*01:01-B*08:01-C*07:01  Uganda Kampala 3.4000161
 157  A*01:01-B*08:01-C*07:01  USA San Francisco Caucasian 9.9000220
 158  A*01:01-B*08:01-C*07:01  USA Caucasian pop 2 7.0000265
 159  A*01:01-B*08:01-C*07:01  USA African American 2.8000252
 160  A*01:01-B*08:01-C*07:01  USA Hispanic 1.1000234
 161  A*01:01-B*08:01-C*07:01  USA North American Native 1.3000187
 162  A*01:01-B*08:01-C*07:01-DRB1*01:01  Germany DKMS - Romania minority 0.22001,234
 163  A*01:01-B*08:01-C*07:01-DRB1*01:01  Germany DKMS - Austria minority 0.12801,698
 164  A*01:01-B*08:01-C*07:01-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.28401,028
 165  A*01:01-B*08:01-C*07:01-DRB1*01:01  Germany DKMS - France minority 0.17601,406
 166  A*01:01-B*08:01-C*07:01-DRB1*01:01  Germany DKMS - United Kingdom minority 0.41701,043
 167  A*01:01-B*08:01-C*07:01-DRB1*01:01  Germany DKMS - Croatia minority 0.06202,057
 168  A*01:01-B*08:01-C*07:01-DRB1*01:01  Germany DKMS - Portugal minority 0.06801,176
 169  A*01:01-B*08:01-C*07:01-DRB1*01:01  Germany DKMS - Netherlands minority 0.21501,374
 170  A*01:01-B*08:01-C*07:01-DRB1*01:01  Poland DKMS 0.077620,653
 171  A*01:01-B*08:01-C*07:01-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 172  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  USA San Diego 1.0420496
 173  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.06841,463
 174  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01304,856
 175  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.13801,999
 176  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  USA NMDP Alaska Native or Aleut 0.21181,376
 177  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.13775,926
 178  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.02943,456,066
 179  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03383,456,066
 180  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.10791,075
 181  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.08013,456,066
 182  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.04603,456,066
 183  A*01:01-B*08:01-C*07:01-DRB1*01:01-DQB1*05:01-DPB1*87:01  Russia Karelia 0.05601,075
 184  A*01:01-B*08:01-C*07:01-DRB1*01:02  Poland DKMS 0.002420,653
 185  A*01:01-B*08:01-C*07:01-DRB1*01:02-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 186  A*01:01-B*08:01-C*07:01-DRB1*01:02-DQB1*05:01-DPB1*01:01  Germany DKMS - German donors 0.01143,456,066
 187  A*01:01-B*08:01-C*07:01-DRB1*01:03-DQB1*05:01  USA Hispanic pop 2 0.01201,999
 188  A*01:01-B*08:01-C*07:01-DRB1*03:01  Brazil Vale do Ribeira Quilombos 0.6944144
 189  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany pop 6 5.82648,862
 190  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Romania minority 5.75501,234
 191  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - United Kingdom minority 8.03401,043
 192  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Croatia minority 4.76202,057
 193  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Greece minority 2.44701,894
 194  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - France minority 4.26301,406
 195  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - China minority 0.19501,282
 196  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Spain minority 3.34701,107
 197  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Bosnia and Herzegovina minority 5.30701,028
 198  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Austria minority 5.21701,698
 199  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Netherlands minority 6.70001,374
 200  A*01:01-B*08:01-C*07:01-DRB1*03:01  Germany DKMS - Portugal minority 3.84301,176

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 510) records   Pages: 1 2 3 4 5 6 of 6  


   

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.

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