Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 201 to 300 (from 325) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 202  A*02:05-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 203  A*02:30-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 204  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  USA Hispanic pop 2 0.04701,999
 205  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0470221
 206  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 207  A*02:17-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 208  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 209  A*24-B*38-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 210  A*30-B*38-DRB1*13-DQB1*06  Ecuador Mixed Ancestry 0.04261,173
 211  A*03-B*38-DRB1*13-DQB1*06  Mexico Jalisco, Guadalajara city 0.04191,189
 212  A*02:01-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.04162,403
 213  A*32:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.040423,595
 214  A*24-B*38-C*12-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.04004,510
 215  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.03853,456,066
 216  A*01:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03521,510
 217  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.03435,829
 218  A*24:02-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 219  A*31:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.03421,463
 220  A*02:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 221  A*02:17-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 222  A*23:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 223  A*24:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 224  A*25:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 225  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:09  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 226  A*29:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 227  A*29:02-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 228  A*02:30-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.03363,456,066
 229  A*03:01:01:03-B*38:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 230  A*11:01:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 231  A*24:02:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 232  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:09:01  Russia Nizhny Novgorod, Russians 0.03311,510
 233  A*68-B*38-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 234  A*69-B*38-C*12-DRB1*13-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 0.03281,743
 235  A*24-B*38-C*12-DRB1*13-DQB1*06-DPB1*05  Norway ethnic Norwegians 0.03004,510
 236  A*32:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.03004,856
 237  A*30:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02904,856
 238  A*68:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02804,856
 239  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02783,456,066
 240  A*23:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.026023,595
 241  A*26-B*38-DRB1*13-DQB1*06  Mexico Puebla, Puebla city 0.02511,994
 242  A*24:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.02384,204
 243  A*02:30:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.023623,595
 244  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.02343,456,066
 245  A*30:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.021423,595
 246  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0213221
 247  A*24:17-B*38:02-C*07:02-DRB1*13:02-DQB1*06:09  India East UCBB 0.02082,403
 248  A*11:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.020423,595
 249  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02013,456,066
 250  A*03:01-B*38:01-C*14:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 251  A*01-B*38-C*12-DRB1*13-DQB1*06-DPB1*05  Norway ethnic Norwegians 0.02004,510
 252  A*02:05-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02004,856
 253  A*02-B*38-C*12-DRB1*13-DQB1*06-DPB1*13  Norway ethnic Norwegians 0.02004,510
 254  A*03-B*38-C*12-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.02004,510
 255  A*24-B*38-C*12-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.02004,510
 256  A*32-B*38-C*12-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.02004,510
 257  A*24:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01993,456,066
 258  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01963,456,066
 259  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.019523,595
 260  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India West UCBB 0.01935,829
 261  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.018223,595
 262  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*05:01  Germany DKMS - German donors 0.01783,456,066
 263  A*02:11-B*38:01-C*03:04-DRB1*13:01-DQB1*06:03  India North UCBB 0.01715,849
 264  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.01643,456,066
 265  A*03:02-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01604,856
 266  A*11:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01604,856
 267  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01503,456,066
 268  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*03:01  Germany DKMS - German donors 0.01473,456,066
 269  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.01453,456,066
 270  A*26:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01404,856
 271  A*23:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01304,856
 272  A*01:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.013023,595
 273  A*02:06-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01204,856
 274  A*02:01-B*38:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 275  A*02:11-B*38:01-C*03:04-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 276  A*29:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 277  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*14:01  Germany DKMS - German donors 0.01163,456,066
 278  A*02:05-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.01155,849
 279  A*11:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01143,456,066
 280  A*02:01-B*38:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01104,856
 281  A*25:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.010323,595
 282  A*32:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.01013,456,066
 283  A*68:01-B*38:01-C*07:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.01002,492
 284  A*68:01-B*38:01-C*07:01-DRB1*13:02-DQB1*06:09  India Tamil Nadu 0.01002,492
 285  A*02-B*38-C*12-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.01004,510
 286  A*02-B*38-C*12-DRB1*13-DQB1*06-DPB1*03  Norway ethnic Norwegians 0.01004,510
 287  A*03:01-B*38:01-C*12:03-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 288  A*24-B*38-C*12-DRB1*13-DQB1*06-DPB1*10  Norway ethnic Norwegians 0.01004,510
 289  A*26-B*38-C*12-DRB1*13-DQB1*06-DPB1*02  Norway ethnic Norwegians 0.01004,510
 290  A*68:01:02-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.010023,595
 291  A*11:01-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.00964,204
 292  A*01:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.00955,849
 293  A*11:01:01-B*38:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.009023,595
 294  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.008711,446
 295  A*02:03-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 296  A*02:11-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 297  A*33:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  India North UCBB 0.00865,849
 298  A*74:02-B*38:02-C*07:02-DRB1*13:02-DQB1*06:04  India West UCBB 0.00865,829
 299  A*01:01-B*38:01-C*03:04-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 300  A*02:03-B*38:02-C*07:02-DRB1*13:01-DQB1*06:03  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 325) 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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