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 311) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*24:02-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Austria minority 0.07401,698
 102  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.07353,456,066
 103  A*02:06-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.07301,374
 104  A*24:02-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Croatia minority 0.07302,057
 105  A*68:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - France minority 0.07301,406
 106  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.07101,028
 107  A*24:02-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - United Kingdom minority 0.07001,043
 108  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*03:01  Japan pop 17 0.07003,078
 109  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*14:01  Japan pop 17 0.07003,078
 110  A*26:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 111  A*33:03-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 112  A*29:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.06841,463
 113  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 114  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.0679185,391
 115  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.0679221
 116  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.06631,075
 117  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India East UCBB 0.06242,403
 118  A*33:03-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India East UCBB 0.06242,403
 119  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*23:01  Russia Karelia 0.06071,075
 120  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP North American Amerindian 0.060635,791
 121  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.06022,492
 122  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.05931,463
 123  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.05901,159
 124  A*68:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.05812,492
 125  A*33:03-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.05651,075
 126  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.05641,075
 127  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Greece minority 0.05301,894
 128  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India West UCBB 0.05155,829
 129  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.05101,159
 130  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05005,266
 131  A*32:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Croatia minority 0.05002,057
 132  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.04863,456,066
 133  A*23:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - United Kingdom minority 0.04801,043
 134  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.04803,456,066
 135  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.04681,734
 136  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.04643,456,066
 137  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.04604,856
 138  A*66:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Spain minority 0.04501,107
 139  A*68:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.04501,374
 140  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 141  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 142  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 143  A*26:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 144  A*68:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.04402,411
 145  A*30:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 146  A*30:04-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Portugal minority 0.04301,176
 147  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India Central UCBB 0.04124,204
 148  A*02:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Romania minority 0.04101,234
 149  A*02:07-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - China minority 0.04101,282
 150  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.03995,849
 151  A*25:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03921,510
 152  A*02:06-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - China minority 0.03901,282
 153  A*03:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - China minority 0.03901,282
 154  A*30:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - China minority 0.03901,282
 155  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.037070,890
 156  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03704,856
 157  A*33:03-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 0.037018,604
 158  A*01:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - France minority 0.03601,406
 159  A*69:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Netherlands minority 0.03601,374
 160  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.03593,456,066
 161  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India West UCBB 0.03555,829
 162  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03403,456,066
 163  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 164  A*29:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 165  A*03:01:01:01-B*07:02:01-C*07:02:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 166  A*68:01:02:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 167  A*01:01-B*07:02-C*07:02-DRB1*01:01  Germany DKMS - Austria minority 0.03301,698
 168  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.03305,849
 169  A*01:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.03203,456,066
 170  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.03095,849
 171  A*03:01:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03031,510
 172  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*05:01  Japan pop 17 0.03003,078
 173  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 174  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 175  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 176  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 177  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 178  A*02:07-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 179  A*02:18-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 180  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  Japan pop 17 0.03003,078
 181  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*105:01  Japan pop 17 0.03003,078
 182  A*26:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 183  A*26:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 184  A*33:03-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 185  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 186  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Mexican or Chicano 0.0283261,235
 187  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.027999,672
 188  A*26:01-B*07:02-C*07:02-DRB1*01:01  Poland DKMS 0.027720,653
 189  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.027523,595
 190  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.0266221
 191  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0266221
 192  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.026623,595
 193  A*02:07-B*07:02-C*07:02-DRB1*01:01  Japan pop 16 0.026018,604
 194  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.025023,595
 195  A*11:01-B*07:02-C*07:02-DRB1*01:01  Hong Kong Chinese BMDR 0.02497,595
 196  A*33:03-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India Central UCBB 0.02474,204
 197  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Hispanic South or Central American 0.0246146,714
 198  A*01:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India Central UCBB 0.02384,204
 199  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.023711,446
 200  A*25:01-B*07:02-C*07:02-DRB1*01:01  Poland DKMS 0.023120,653

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 311) records   Pages: 1 2 3 4 of 4  


   

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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