Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 201 to 300 (from 334) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*24:02:01-B*51:02:01-C*15:02:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.05771,734
 202  A*31:01:02-B*51:02:01-C*15:02:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.05771,734
 203  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Russia Karelia 0.05651,075
 204  A*68:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02-DPB1*02:01  Russia Karelia 0.05651,075
 205  A*32:01-B*51:01-C*15:02-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.05651,075
 206  A*11:01-B*51:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:02  Russia Karelia 0.05641,075
 207  A*11:01-B*51:01-C*07:01-DRB1*08:01-DQB1*04:02-DPB1*17:01  Russia Karelia 0.05621,075
 208  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.04833,456,066
 209  A*01:01-B*51:07-C*14:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 210  A*02:06-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 211  A*02:13-B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 212  A*03:01-B*51:01-C*01:02-DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 213  A*68:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 214  A*11:01-B*51:01-C*02:02-DRB1*08:01-DQB1*04:02  USA African American pop 4 0.04402,411
 215  A*24:02-B*51:37-C*14:02-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.04401,772
 216  A*01:01-B*51:01-C*15:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Italy minority 0.04301,159
 217  A*02:01-B*51:01-C*04:01-DRB1*08:01-DQB1*04:02  Germany DKMS - Italy minority 0.04301,159
 218  A*02:01-B*51:02-C*15:02-DRB1*08:02-DQB1*04:02  USA Asian pop 2 0.04301,772
 219  A*03:01-B*51:01-C*02:02-DRB1*08:01-DQB1*04:03  Germany DKMS - Italy minority 0.04301,159
 220  A*11-B*51-DRB1*08-DQB1*04  Ecuador Mixed Ancestry 0.04261,173
 221  A*32-B*51-DRB1*08-DQB1*04  Mexico Jalisco, Guadalajara city 0.04191,189
 222  A*01:01-B*51:01-C*07:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.04012,492
 223  A*02:01-B*51:01-C*03:04-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 224  A*02:01-B*51:01-C*04:01-DRB1*08:01-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 225  A*23:01-B*51:08-C*16:02-DRB1*08:01-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 226  A*68:02-B*51:01-C*02:02-DRB1*08:01-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 227  A*01:01-B*51:01-C*02:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 228  A*01:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 229  A*03:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 230  A*11:01-B*51:01-C*15:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 231  A*24:02-B*51:01-C*02:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 232  A*31:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 233  A*01:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.03372,492
 234  A*01:01:01:01-B*51:01:01-C*12:03:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 235  A*24:02:01:01-B*51:01:01-C*07:02:01:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 236  A*25:01:01-B*51:01:01:01-C*14:02:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 237  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.03304,856
 238  A*02-B*51-C*16-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 239  A*03-B*51-C*01-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 240  A*25-B*51-C*02-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 241  A*26-B*51-C*14-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 242  A*31-B*51-C*14-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 243  A*68-B*51-C*15-DRB1*08-DQA1*04-DQB1*04  Spain, Castilla y Leon, Northwest, 0.03281,743
 244  A*02:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 245  A*02:06-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 246  A*02:06-B*51:02-C*03:03-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 247  A*24:02-B*51:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 248  A*26:03-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 249  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 250  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 251  A*31:01-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*09:01  Japan pop 17 0.03003,078
 252  A*31:01-B*51:02-C*15:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 253  A*33:03-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 254  A*33:03-B*51:01-C*14:02-DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*14:01  Japan pop 17 0.03003,078
 255  A*68-B*51-C*15-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.03004,510
 256  A*11:01:01-B*51:01:01-C*04:82-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 257  A*31-B*51-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.02511,994
 258  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.023023,595
 259  A*02:01-B*51:01-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*03:01  Germany DKMS - German donors 0.02183,456,066
 260  A*01:01-B*51:01-C*06:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.02104,856
 261  A*03:02-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.02104,856
 262  A*29:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India Tamil Nadu 0.02012,492
 263  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.018823,595
 264  A*02:01-B*51:01-C*14:02-DRB1*08:02-DQB1*04:02  India South UCBB 0.017511,446
 265  A*02:01-B*51:01-C*14:02-DRB1*08:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01304,856
 266  A*02:01-B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 267  A*32:01-B*51:01-C*15:09-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.01201,999
 268  A*01:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 269  A*03:01-B*51:01-C*15:02-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 270  A*68:01-B*51:01-C*16:02-DRB1*08:01-DQB1*04:02  India Central UCBB 0.01194,204
 271  A*11:01:01-B*51:01:01-C*15:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.011023,595
 272  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02-DPB1*02:01  Germany DKMS - German donors 0.01063,456,066
 273  A*02:11-B*51:01-C*14:02-DRB1*08:04-DQB1*04:02  India Tamil Nadu 0.01002,492
 274  A*01-B*51-C*01-DRB1*08-DQB1*04-DPB1*03  Norway ethnic Norwegians 0.01004,510
 275  A*01-B*51-C*16-DRB1*08-DQB1*04-DPB1*02  Norway ethnic Norwegians 0.01004,510
 276  A*02:06-B*51:01-C*03:03-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 277  A*02:06-B*51:01-C*16:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 278  A*02-B*51-C*04-DRB1*08-DQB1*04-DPB1*03  Norway ethnic Norwegians 0.01004,510
 279  A*02-B*51-C*15-DRB1*08-DQB1*04-DPB1*03  Norway ethnic Norwegians 0.01004,510
 280  A*03:01-B*51:01-C*04:01-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 281  A*03-B*51-C*02-DRB1*08-DQB1*04-DPB1*10  Norway ethnic Norwegians 0.01004,510
 282  A*03-B*51-C*14-DRB1*08-DQB1*04-DPB1*06  Norway ethnic Norwegians 0.01004,510
 283  A*24-B*51-C*04-DRB1*08-DQB1*04-DPB1*03  Norway ethnic Norwegians 0.01004,510
 284  A*24-B*51-C*15-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.01004,510
 285  A*25-B*51-C*16-DRB1*08-DQB1*04-DPB1*02  Norway ethnic Norwegians 0.01004,510
 286  A*29:02-B*51:01-C*16:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 287  A*30-B*51-C*14-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.01004,510
 288  A*31:01-B*51:02-C*15:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 289  A*31-B*51-C*15-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.01004,510
 290  A*68-B*51-C*04-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.01004,510
 291  A*68-B*51-C*15-DRB1*08-DQB1*04-DPB1*02  Norway ethnic Norwegians 0.01004,510
 292  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.009223,595
 293  A*68:01:02-B*51:01:01-C*15:02:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.008923,595
 294  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  India West UCBB 0.00865,829
 295  A*24:02-B*51:01-C*15:02-DRB1*08:01-DQB1*04:02  India West UCBB 0.00865,829
 296  A*03:01:01-B*51:01:01-C*12:03:01-DRB1*08:04:01-DQB1*04:02:01  Poland BMR 0.008523,595
 297  A*02:01-B*51:01-C*07:02-DRB1*08:01-DQB1*04:02  India North UCBB 0.00855,849
 298  A*02:01-B*51:01-C*14:02-DRB1*08:01-DQB1*04:02  India North UCBB 0.00855,849
 299  A*03:02-B*51:01-C*03:04-DRB1*08:01-DQB1*04:02  India North UCBB 0.00855,849
 300  A*24:13-B*51:06-C*14:02-DRB1*08:01-DQB1*04:02  India North UCBB 0.00855,849

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 201 to 300 (from 334) 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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