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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Displaying 101 to 200 (from 1,396) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*23:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - Spain minority 1.12701,107
 102  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.1208186
 103  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 1.1070271
 104  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 1.1041951
 105  A*33:01-B*44:03:01-DRB1*07:01:01  Portugal North 1.100046
 106  B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 1.0490143
 107  A*29:02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 1.0417192
 108  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany pop 6 1.00498,862
 109  A*02:01-B*44:03-C*16:01:01-DRB1*07:01:01-DQB1*02:01  England North West 1.0000298
 110  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Poland 1.0000200
 111  A*26:01-B*44:03:01-DRB1*07:01:01  Portugal South 1.000049
 112  A*29:02-B*44:03:01-DRB1*07:01:01  Portugal Center 1.000050
 113  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.9727521
 114  A*02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01  Nicaragua Mestizo (G) 0.9677155
 115  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 116  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 117  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.9500462
 118  A*23:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - Croatia minority 0.94402,057
 119  A*23:01-B*44:03-C*04:01-DRB1*07:01  Poland DKMS 0.938520,653
 120  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.937323,595
 121  A*02:02-B*44:03-DRB1*07:01  Israel Tunisia Jews 0.93709,070
 122  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.93201,159
 123  A*23:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - Portugal minority 0.92801,176
 124  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.89881,376
 125  A*29:02-B*44:03-C*16:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*03:01  Portugal Azores Terceira Island 0.8772130
 126  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.85504,335
 127  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.8403951
 128  A*23:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - Netherlands minority 0.83501,374
 129  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 0.82892,403
 130  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.82201,510
 131  A*01:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.8213186
 132  A*02:01-B*44:03-C*14:03-DRB1*07:01-DQB1*02:02-DPB1*14:01  Tanzania Maasai 0.7987336
 133  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Netherlands minority 0.79401,374
 134  A*02:01:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.7812192
 135  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.7810496
 136  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 137  A*68:01-B*44:03-DRB1*07:01-DQB1*02:01  Chile Mapuche 0.770066
 138  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Filipino 0.743850,614
 139  A*23:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - France minority 0.74201,406
 140  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.72601,999
 141  A*24:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.71115,849
 142  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.7020356
 143  A*23:01-B*44:03-C*04:01-DRB1*07:01  Brazil Vale do Ribeira Quilombos 0.6944144
 144  A*29:02-B*44:03-C*16:01-DRB1*07:01  Poland DKMS 0.682120,653
 145  A*30:04-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.676614,339
 146  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.676670,890
 147  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Northeast UCBB 0.6757296
 148  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.667623,595
 149  A*29:01-B*44:03-DRB1*07:01  Israel USA Jews 0.65306,058
 150  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Romania minority 0.64801,234
 151  A*24:02:01-B*44:03:01-C*16:01:01-DRB1*07:01  Nicaragua Mestizo (G) 0.6452155
 152  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.63101,159
 153  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.6303714
 154  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6270405
 155  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6230405
 156  A*23:01-B*44:03-DRB1*07:01  Croatia pop 4 0.62004,000
 157  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.610011,499
 158  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.60944,204
 159  A*33:03-B*44:03-DRB1*07:01  Hong Kong Chinese cord blood registry 0.60823,892
 160  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.6072951
 161  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.60302,411
 162  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.60292,492
 163  A*30:01-B*44:03-DRB1*07:01  Israel Libya Jews 0.59103,739
 164  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 165  A*23:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 166  A*33:01:01-B*44:03:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 167  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.58701,242,890
 168  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.58054,889
 169  A*01:01:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 170  A*02:11:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 171  A*11:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 172  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*01:01  Panama 0.5700462
 173  A*23:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - Romania minority 0.56701,234
 174  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.5602714
 175  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.5535271
 176  A*24:17-B*44:03-DRB1*07:01  Israel YemenJews 0.548015,542
 177  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.54275,829
 178  A*11:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.5376186
 179  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 0.5210496
 180  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.5155194
 181  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 0.513999,672
 182  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.495311,499
 183  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India North UCBB 0.49105,849
 184  A*24:02:01-B*44:03:02-C*07:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.4910356
 185  A*24:02-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India Central UCBB 0.48744,204
 186  A*29:02-B*44:03-C*16:01-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.48601,028
 187  A*02:11-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.48375,829
 188  A*29:02-B*44:03-C*16:01-DRB1*07:01  Russia Bering Island Aleuts 0.4808104
 189  A*30:04-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*01:01  Tanzania Maasai 0.4792336
 190  A*33:03-B*44:03-C*07:01-DRB1*07:01  Hong Kong Chinese BMDR 0.47707,595
 191  A*23:01-B*44:03-C*04:01-DRB1*07:01  Germany DKMS - United Kingdom minority 0.47601,043
 192  A*23:01-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 0.474714,339
 193  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.46881,463
 194  A*01:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.46755,829
 195  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*11:01  Germany DKMS - German donors 0.46723,456,066
 196  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 0.4646146,714
 197  A*29:01-B*44:03-DRB1*07:01  Israel Argentina Jews 0.45404,307
 198  A*30:02-B*44:03-DRB1*07:01  Israel Iran Jews 0.45008,153
 199  A*02:05-B*44:03-C*12:03-E*01:01:01-F*01:01:02-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*05:03  Portugal Azores Terceira Island 0.4386130
 200  A*68:02-B*44:03-C*16:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*07:01-DQA1*01:03-DQB1*02:02  Portugal Azores Terceira Island 0.4386130

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 1,396) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  


   

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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