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

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*31:01-B*48:01-C*08:01-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 202  A*11:01-B*48:01-C*08:01-DRB1*14:54  Hong Kong Chinese BMDR 0.04317,595
 203  A*24:02-B*48:01-C*08:01-DRB1*04:05  Hong Kong Chinese BMDR 0.04197,595
 204  A*24:02-B*48:01-C*08:01-DRB1*11:01-DRB3*02:02-DQB1*03:01  USA NMDP Chinese 0.041899,672
 205  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India East UCBB 0.04162,403
 206  A*24:02-B*48:01-C*08:01-DRB1*11:04  Germany DKMS - Romania minority 0.04101,234
 207  A*11:01-B*48:01-C*08:01-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.04012,492
 208  A*11:01-B*48:01-C*08:01-DRB1*04:05  Hong Kong Chinese BMDR 0.03957,595
 209  A*01:01-B*48:01-C*08:01-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 210  A*02:01-B*48:01-C*08:01-DRB1*14:01  Germany DKMS - China minority 0.03901,282
 211  A*02:06-B*48:01-C*08:01-DRB1*12:01  Germany DKMS - China minority 0.03901,282
 212  A*02:06-B*48:01-C*08:01-DRB1*14:01  Germany DKMS - China minority 0.03901,282
 213  A*11:01-B*48:01-C*08:01-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 214  A*11:01-B*48:01-C*08:01-DRB1*16:02  Germany DKMS - China minority 0.03901,282
 215  A*24:02-B*48:01-C*08:01-DRB1*14:07  Germany DKMS - China minority 0.03901,282
 216  A*24:02-B*48:01-C*08:01-DRB1*14:54  Hong Kong Chinese BMDR 0.03877,595
 217  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
 218  A*02:01-B*48:01-C*08:01-DRB1*12:01  Japan pop 16 0.037018,604
 219  A*02:06-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.037018,604
 220  A*24:02-B*48:01-C*08:01-DRB1*04:07  Japan pop 16 0.037018,604
 221  A*24:02-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.037018,604
 222  A*11:01-B*48:01-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.03697,595
 223  A*24:02-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  India Central UCBB 0.03574,204
 224  A*24:02-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  India Central UCBB 0.03574,204
 225  A*02:01-B*48:01-C*08:01-DRB1*13:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 226  A*02:13-B*48:01-C*08:01-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 227  A*02:22-B*48:01-C*08:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 228  A*02:01-B*48:01-C*08:01-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 229  A*24:02-B*48:01-C*08:01-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 230  A*31:01-B*48:01-C*08:01-DRB1*08:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 231  A*24:02-B*48:01-C*08:01-DRB1*11:01  Hong Kong Chinese BMDR 0.03327,595
 232  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
 233  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
 234  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
 235  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
 236  A*24:02-B*48:01-C*08:01-DRB1*04:02  Germany DKMS - Greece minority 0.03101,894
 237  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
 238  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
 239  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
 240  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
 241  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
 242  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
 243  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
 244  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
 245  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
 246  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
 247  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
 248  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
 249  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
 250  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
 251  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
 252  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
 253  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
 254  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
 255  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
 256  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
 257  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
 258  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
 259  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
 260  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
 261  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
 262  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
 263  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
 264  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
 265  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
 266  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
 267  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
 268  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
 269  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
 270  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
 271  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
 272  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
 273  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
 274  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
 275  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
 276  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
 277  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
 278  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
 279  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
 280  A*68:01-B*48:01-C*08:01-DRB1*04:05-DQB1*04:02  Colombia Bogotá Cord Blood 0.02691,463
 281  A*02:01-B*48:01-C*08:01-DRB1*14:01  Germany DKMS - Greece minority 0.02601,894
 282  A*02:06-B*48:01-C*08:01-DRB1*12:02  Japan pop 16 0.026018,604
 283  A*11:01-B*48:01-C*08:01-DRB1*13:02  Germany DKMS - Greece minority 0.02601,894
 284  A*24:02-B*48:01-C*08:01-DRB1*04:03  Japan pop 16 0.026018,604
 285  A*24:02-B*48:01-C*08:01-DRB1*04:10  Japan pop 16 0.026018,604
 286  A*24:02-B*48:01-C*08:01-DRB1*11:01  Japan pop 16 0.026018,604
 287  A*26:01-B*48:01-C*08:01-DRB1*04:03  Japan pop 16 0.026018,604
 288  A*26:02-B*48:01-C*08:01-DRB1*09:01  Japan pop 16 0.026018,604
 289  A*32:01-B*48:01-C*08:01-DRB1*12:01  Germany DKMS - Greece minority 0.02601,894
 290  A*11:01-B*48:01-C*08:01-DRB1*04:10-DQB1*04:02  India West UCBB 0.02575,829
 291  A*02:03-B*48:01-C*08:01-DRB1*04:05  Hong Kong Chinese BMDR 0.02467,595
 292  A*01:01-B*48:01-C*08:01-DRB1*04:01  Germany DKMS - Croatia minority 0.02402,057
 293  A*24:02-B*48:01-C*08:01-DRB1*01:01  Germany DKMS - Croatia minority 0.02402,057
 294  A*24:02-B*48:01-C*08:01-DRB1*12:01  Germany DKMS - Croatia minority 0.02402,057
 295  A*33:03-B*48:01-C*08:01-DRB1*12:01-DQB1*03:01  India Central UCBB 0.02384,204
 296  A*24:02-B*48:01-C*08:01-DRB1*14:05  Hong Kong Chinese BMDR 0.02227,595
 297  A*02:01-B*48:01-C*08:01-DRB1*04:07  Japan pop 16 0.021018,604
 298  A*02:01-B*48:01-C*08:01-DRB1*11:01  Japan pop 16 0.021018,604
 299  A*11:01-B*48:01-C*08:01-DRB1*08:03  Japan pop 16 0.021018,604
 300  A*26:01-B*48:01-C*08:01-DRB1*09:01  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 535) 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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