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 538) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*24:02-B*48:01-C*08:01-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.04401,772
 202  A*26:01-B*48:01-C*08:01-DRB1*04:05-DQB1*04:02  USA Asian pop 2 0.04401,772
 203  A*31:01-B*48:01-C*08:01-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 204  A*11:01-B*48:01-C*08:01-DRB1*14:54  Hong Kong Chinese BMDR 0.04317,595
 205  A*24:02-B*48:01-C*08:01-DRB1*04:05  Hong Kong Chinese BMDR 0.04197,595
 206  A*24:02-B*48:01-C*08:01-DRB1*11:01-DRB3*02:02-DQB1*03:01  USA NMDP Chinese 0.041899,672
 207  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India East UCBB 0.04162,403
 208  A*24:02-B*48:01-C*08:01-DRB1*11:04  Germany DKMS - Romania minority 0.04101,234
 209  A*11:01-B*48:01-C*08:01-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.04012,492
 210  A*11:01-B*48:01-C*08:01-DRB1*04:05  Hong Kong Chinese BMDR 0.03957,595
 211  A*01:01-B*48:01-C*08:01-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 212  A*02:01-B*48:01-C*08:01-DRB1*14:01  Germany DKMS - China minority 0.03901,282
 213  A*02:06-B*48:01-C*08:01-DRB1*12:01  Germany DKMS - China minority 0.03901,282
 214  A*02:06-B*48:01-C*08:01-DRB1*14:01  Germany DKMS - China minority 0.03901,282
 215  A*11:01-B*48:01-C*08:01-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 216  A*11:01-B*48:01-C*08:01-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 217  A*24:02-B*48:01-C*08:01-DRB1*14:07  Germany DKMS - China minority 0.03901,282
 218  A*24:02-B*48:01-C*08:01-DRB1*14:54  Hong Kong Chinese BMDR 0.03877,595
 219  A*11:01:01-B*48:01:01-C*08:01:01-DRB1*04:05:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03795,266
 220  A*02:01-B*48:01-C*08:01-DRB1*12:01  Japan pop 16 0.037018,604
 221  A*02:06-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.037018,604
 222  A*24:02-B*48:01-C*08:01-DRB1*04:07  Japan pop 16 0.037018,604
 223  A*24:02-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.037018,604
 224  A*11:01-B*48:01-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.03697,595
 225  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India Central UCBB 0.03574,204
 226  A*24:02-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  India Central UCBB 0.03574,204
 227  A*02:01-B*48:01-C*08:01-DRB1*13:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 228  A*02:13-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 229  A*02:22-B*48:01-C*08:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 230  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 231  A*24:02-B*48:01-C*08:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 232  A*31:01-B*48:01-C*08:01-DRB1*08:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 233  A*24:02-B*48:01-C*08:01-DRB1*11:01  Hong Kong Chinese BMDR 0.03327,595
 234  A*01:01:01-B*48:01:01-C*08:01:01-DRB1*04:07:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 235  A*02:01:01:01-B*48:01:01-C*08:01:01-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 236  A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 237  A*24:02:01:01-B*48:01:01-C*08:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 238  A*24:02-B*48:01-C*08:01-DRB1*04:02  Germany DKMS - Greece minority 0.03101,894
 239  A*02:01-B*48:01-C*08:01-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 240  A*02:01-B*48:01-C*08:01-DRB1*04:10-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 241  A*02:01-B*48:01-C*08:01-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*20:01  Japan pop 17 0.03003,078
 242  A*02:01-B*48:01-C*08:01-DRB1*12:01-DQA1*05:06-DQB1*03:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 243  A*02:06-B*48:01-C*08:01-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 244  A*02:06-B*48:01-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*02:02  Japan pop 17 0.03003,078
 245  A*02:06-B*48:01-C*08:01-DRB1*14:05-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 246  A*02:06-B*48:01-C*08:01-DRB1*14:05-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 247  A*02:07-B*48:01-C*08:01-DRB1*14:54-DQA1*01:04-DQB1*05:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 248  A*11:01-B*48:01-C*08:01-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 249  A*11:01-B*48:01-C*08:01-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 250  A*11:01-B*48:01-C*08:01-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 251  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 252  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 253  A*11:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 254  A*11:01-B*48:01-C*08:01-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 255  A*24:02-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*05:01  Japan pop 17 0.03003,078
 256  A*24:02-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 257  A*24:02-B*48:01-C*08:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 258  A*24:02-B*48:01-C*08:01-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 259  A*24:02-B*48:01-C*08:01-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 260  A*24:02-B*48:01-C*08:01-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 261  A*24:02-B*48:01-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:02  Japan pop 17 0.03003,078
 262  A*26:01-B*48:01-C*08:01-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 263  A*26:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 264  A*26:02-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 265  A*26:03-B*48:01-C*08:01-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 266  A*31:01-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 267  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 268  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 269  A*31:01-B*48:01-C*08:01-DRB1*14:54-DQA1*01:04-DQB1*05:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078
 270  A*02:06:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 271  A*02:06:01-B*48:01:01-C*08:01:01-DRB1*09:01:02-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 272  A*02:06:01-B*48:01:01-C*08:01:01-DRB1*15:01:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 273  A*11:01:01-B*48:01:01-C*08:01:01-DRB1*04:10:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 274  A*11:01:01-B*48:01:01-C*08:01:01-DRB1*14:04:01-DQB1*06:01:01  China Zhejiang Han 0.02881,734
 275  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 276  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 277  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.02881,734
 278  A*26:01:01-B*48:01:01-C*08:01:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 279  A*30:01:01-B*48:01:01-C*08:01:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 280  A*31:01:02-B*48:01:01-C*08:01:01-DRB1*12:01:01-DQB1*03:01:01  China Zhejiang Han 0.02881,734
 281  A*11:01:01-B*48:01:01-C*08:01:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02835,266
 282  A*68:01-B*48:01-C*08:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.02691,463
 283  A*02:01-B*48:01-C*08:01-DRB1*14:01  Germany DKMS - Greece minority 0.02601,894
 284  A*02:06-B*48:01-C*08:01-DRB1*12:02  Japan pop 16 0.026018,604
 285  A*11:01-B*48:01-C*08:01-DRB1*13:02  Germany DKMS - Greece minority 0.02601,894
 286  A*24:02-B*48:01-C*08:01-DRB1*04:03  Japan pop 16 0.026018,604
 287  A*24:02-B*48:01-C*08:01-DRB1*04:10  Japan pop 16 0.026018,604
 288  A*24:02-B*48:01-C*08:01-DRB1*11:01  Japan pop 16 0.026018,604
 289  A*26:01-B*48:01-C*08:01-DRB1*04:03  Japan pop 16 0.026018,604
 290  A*26:02-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.026018,604
 291  A*32:01-B*48:01-C*08:01-DRB1*12:01  Germany DKMS - Greece minority 0.02601,894
 292  A*11:01-B*48:01-C*08:01-DRB1*04:10-DQB1*04:02  India West UCBB 0.02575,829
 293  A*02:03-B*48:01-C*08:01-DRB1*04:05  Hong Kong Chinese BMDR 0.02467,595
 294  A*01:01-B*48:01-C*08:01-DRB1*04:01  Germany DKMS - Croatia minority 0.02402,057
 295  A*24:02-B*48:01-C*08:01-DRB1*01:01  Germany DKMS - Croatia minority 0.02402,057
 296  A*24:02-B*48:01-C*08:01-DRB1*12:01  Germany DKMS - Croatia minority 0.02402,057
 297  A*33:03-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  India Central UCBB 0.02384,204
 298  A*24:02-B*48:01-C*08:01-DRB1*14:05  Hong Kong Chinese BMDR 0.02227,595
 299  A*02:01-B*48:01-C*08:01-DRB1*04:07  Japan pop 16 0.021018,604
 300  A*02:01-B*48:01-C*08:01-DRB1*11:01  Japan pop 16 0.021018,604

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 538) records   Pages: 1 2 3 4 5 6 of 6  


   

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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