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 467) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*11:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 102  A*26:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 103  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 104  A*01:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.26791,510
 105  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Mexican or Chicano 0.2639261,235
 106  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.26225,849
 107  A*02:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Bosnia and Herzegovina minority 0.26201,028
 108  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.254911,446
 109  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Mexican or Chicano 0.2543261,235
 110  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.25135,849
 111  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.24804,204
 112  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.24791,463
 113  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.24632,492
 114  A*01:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Croatia minority 0.24402,057
 115  A*11:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Romania minority 0.24301,234
 116  A*02:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.23791,510
 117  A*01:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - China minority 0.23401,282
 118  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 119  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  China Zhejiang Han 0.22881,734
 120  A*01:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Portugal minority 0.22801,176
 121  A*29:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 122  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.22201,772
 123  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.21822,403
 124  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP American Indian South or Central America 0.21385,926
 125  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.21201,159
 126  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.21204,856
 127  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Russia Karelia 0.21171,075
 128  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.2101714
 129  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.208311,446
 130  A*32:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - China minority 0.20801,282
 131  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.20504,335
 132  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.20484,204
 133  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.20352,403
 134  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Southeast Asian 0.196127,978
 135  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.1953185,391
 136  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.19535,829
 137  A*01:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 138  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 139  A*24:02:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 140  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Colombia Bogotá Cord Blood 0.19371,463
 141  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP European Caucasian 0.18461,242,890
 142  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*03:03  Malaysia Peninsular Indian 0.1845271
 143  A*11:29-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 144  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 145  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 146  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.17994,204
 147  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP Caribean Indian 0.179714,339
 148  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.17954,204
 149  A*03:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Spain minority 0.17901,107
 150  A*01:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - France minority 0.17801,406
 151  A*24:02-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - France minority 0.17801,406
 152  A*11:01-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 0.177018,604
 153  A*31:01-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 0.177018,604
 154  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 155  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.16904,856
 156  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.1689296
 157  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.1689296
 158  A*03:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Greece minority 0.16801,894
 159  A*02:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Romania minority 0.16201,234
 160  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Japanese 0.160424,582
 161  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.16003,078
 162  A*02:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Portugal minority 0.15501,176
 163  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.15422,492
 164  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.15352,403
 165  A*32:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.15215,829
 166  A*24:02:01-B*52:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.151928,927
 167  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Middle Eastern or North Coast of Africa 0.151270,890
 168  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Russia Karelia 0.15121,075
 169  A*02:01-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 0.151018,604
 170  A*26:01-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 0.151018,604
 171  A*01:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Netherlands minority 0.14601,374
 172  A*02:06-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 0.146018,604
 173  A*11:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Netherlands minority 0.14601,374
 174  A*11:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - United Kingdom minority 0.14401,043
 175  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Hispanic South or Central American 0.1439146,714
 176  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.14301,772
 177  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 178  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 179  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.1401714
 180  A*24:07-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 181  A*26:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*14:01  Sri Lanka Colombo 0.1401714
 182  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 183  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 184  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA Hispanic pop 2 0.14001,999
 185  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 186  A*02:06:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 187  A*11:01:01-B*52:01:01-C*12:02:01-DRB1*15:02:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 188  A*68:01:02-B*52:01:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 189  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  USA NMDP American Indian South or Central America 0.13975,926
 190  A*68:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.13655,849
 191  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP European Caucasian 0.13571,242,890
 192  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 193  A*02:06-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 194  A*31:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 195  A*11:01-B*52:01-C*12:02-DRB1*15:02  Germany DKMS - Portugal minority 0.12801,176
 196  A*01:01:01-B*52:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.126528,927
 197  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP North American Amerindian 0.121835,791
 198  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Italy minority 0.12001,159
 199  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.11944,204
 200  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.11925,849

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 467) records   Pages: 1 2 3 4 5 of 5  


   

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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