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 345) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01  Japan pop 17 0.10003,078
 202  A*32:01:01-B*51:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.093028,927
 203  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*17:01:01  Saudi Arabia pop 6 (G) 0.090828,927
 204  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Russia Karelia 0.09011,075
 205  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:01-DPB1*17:01  China Zhejiang Han pop 2 0.0767833
 206  DRB1*11:02-DQB1*03:01-DPB1*17:01  Gambia pop 3 0.0765939
 207  DRB1*13:04-DQB1*06:09-DPB1*17:01  Gambia pop 3 0.0729939
 208  DRB1*03:02-DQB1*06:09-DPB1*17:01  Gambia pop 3 0.0727939
 209  DRB1*01:02-DQB1*03:01-DPB1*17:01  Gambia pop 3 0.0726939
 210  DRB1*01:02-DQB1*06:02-DPB1*17:01  Gambia pop 3 0.0726939
 211  DRB1*03:02-DQB1*02:01-DPB1*17:01  Gambia pop 3 0.0726939
 212  DRB1*03:02-DQB1*03:01-DPB1*17:01  Gambia pop 3 0.0726939
 213  DRB1*04:03-DQB1*03:02-DPB1*17:01  Gambia pop 3 0.0726939
 214  DRB1*07:01-DQB1*05:01-DPB1*17:01  Gambia pop 3 0.0726939
 215  DRB1*09:01-DQB1*03:01-DPB1*17:01  Gambia pop 3 0.0726939
 216  DRB1*11:01-DQB1*06:09-DPB1*17:01  Gambia pop 3 0.0726939
 217  DRB1*13:01-DQB1*02:01-DPB1*17:01  Gambia pop 3 0.0726939
 218  DRB1*13:02-DQB1*02:01-DPB1*17:01  Gambia pop 3 0.0726939
 219  DRB1*13:04-DQB1*05:02-DPB1*17:01  Gambia pop 3 0.0726939
 220  DQA1*05:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  Hong Kong Chinese HKBMDR. DQ and DP 0.07241,064
 221  A*02:01-B*44:02-C*07:04-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 222  A*02:01-B*56:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*17:01  Sri Lanka Colombo 0.0700714
 223  A*02:11-B*40:06-C*15:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 224  A*03:01-B*40:06-C*12:02-DRB1*14:15-DQA1*05:01-DQB1*02:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 225  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 226  A*11:20-B*51:06-C*14:02-DRB1*07:01-DQA1*02:01-DQB1*03:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 227  A*23:01-B*07:02-C*07:02-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*17:01  Sri Lanka Colombo 0.0700714
 228  A*23:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 229  A*24:02-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 230  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 231  A*24:07-B*15:02-C*01:02-DRB1*10:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 232  A*26:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*17:01  Sri Lanka Colombo 0.0700714
 233  A*33:03-B*35:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*17:01  Sri Lanka Colombo 0.0700714
 234  A*68:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 235  A*24-B*49-C*07-DRB1*07-DQB1*02-DPB1*17  Norway ethnic Norwegians 0.07004,510
 236  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01  Japan pop 17 0.07003,078
 237  A*01:01-B*08:01-C*07:01-DRB1*07:01-DQB1*02:01-DPB1*17:01  Russia Karelia 0.06921,075
 238  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*17:01  China Zhejiang Han pop 2 0.0606833
 239  A*02-B*49-C*07-DRB1*07-DQB1*02-DPB1*17  Norway ethnic Norwegians 0.06004,510
 240  DRB1*07:01-DQA1*02:01-DQB1*03:02-DPA1*02:02-DPB1*17:01  China Zhejiang Han pop 2 0.0600833
 241  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*17:01  China Zhejiang Han pop 2 0.0600833
 242  A*25:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Russia Karelia 0.05911,075
 243  A*02:01-B*44:02-C*16:04-DRB1*04:02-DQB1*03:02-DPB1*17:01  Russia Karelia 0.05651,075
 244  A*02:05-B*49:01-C*07:01-DRB1*07:01-DQB1*02:01-DPB1*17:01  Russia Karelia 0.05651,075
 245  A*25:01-B*15:01-C*04:01-DRB1*11:01-DQB1*03:01-DPB1*17:01  Russia Karelia 0.05651,075
 246  A*32:01-B*57:03-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Russia Karelia 0.05651,075
 247  A*33:05-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*17:01  Russia Karelia 0.05651,075
 248  A*01:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*17:01  Russia Karelia 0.05651,075
 249  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Russia Karelia 0.05651,075
 250  A*30:01-B*07:04-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*17:01  Russia Karelia 0.05651,075
 251  A*24:02-B*55:01-C*03:03-DRB1*10:01-DQB1*05:01-DPB1*17:01  Russia Karelia 0.05641,075
 252  A*03:01-B*52:01-C*12:02-DRB1*04:04-DQB1*03:02-DPB1*17:01  Russia Karelia 0.05641,075
 253  A*01:01-B*40:01-C*03:04-DRB1*07:01-DQB1*03:03-DPB1*17:01  Russia Karelia 0.05631,075
 254  A*11:01-B*51:01-C*07:01-DRB1*08:01-DQB1*04:02-DPB1*17:01  Russia Karelia 0.05621,075
 255  A*03:01-B*38:01-C*04:01-DRB1*04:02-DQB1*03:02-DPB1*17:01  Russia Karelia 0.05621,075
 256  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*17:01  Russia Karelia 0.05621,075
 257  A*24:02-B*07:02-C*07:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Russia Karelia 0.05601,075
 258  DRB1*13:03-DQB1*02:02-DPB1*17:01  Gambia pop 3 0.0547939
 259  A*24:02:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05215,266
 260  A*26:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04715,266
 261  DQA1*02:01-DQB1*03:03-DPA1*02:01-DPB1*17:01  Hong Kong Chinese HKBMDR. DQ and DP 0.04371,064
 262  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.04243,456,066
 263  A*30-B*13-C*06-DRB1*07-DQB1*02-DPB1*17  Norway ethnic Norwegians 0.04004,510
 264  A*01:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.03943,456,066
 265  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03895,266
 266  A*33:03:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03485,266
 267  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.03333,456,066
 268  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  Japan pop 17 0.03003,078
 269  A*02-B*14-C*08-DRB1*10-DQB1*05-DPB1*17  Norway ethnic Norwegians 0.03004,510
 270  A*03:02-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  Japan pop 17 0.03003,078
 271  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  Japan pop 17 0.03003,078
 272  A*29-B*45-C*06-DRB1*04-DQB1*03-DPB1*17  Norway ethnic Norwegians 0.03004,510
 273  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02905,266
 274  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02905,266
 275  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02715,266
 276  DRB1*08:02-DQA1*04:01-DQB1*04:02-DPA1*02:01-DPB1*17:01  China Zhejiang Han pop 2 0.0247833
 277  DQA1*03:03-DQB1*03:01-DPA1*02:01-DPB1*17:01  Hong Kong Chinese HKBMDR. DQ and DP 0.02261,064
 278  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.02163,456,066
 279  A*01-B*13-C*06-DRB1*07-DQB1*02-DPB1*17  Norway ethnic Norwegians 0.02004,510
 280  A*11-B*35-C*04-DRB1*01-DQB1*05-DPB1*17  Norway ethnic Norwegians 0.02004,510
 281  A*68-B*13-C*06-DRB1*07-DQB1*02-DPB1*17  Norway ethnic Norwegians 0.02004,510
 282  A*11:01:01-B*40:01:02-C*07:56:02-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 283  A*24:02:01-B*46:01:01-C*01:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01875,266
 284  A*02:03:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01705,266
 285  A*01:01-B*08:01-C*07:01-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.01273,456,066
 286  A*02:01:01-B*15:11:01-C*03:03:01-DRB1*07:01:01-DPB1*17:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01275,266
 287  A*11-B*15-C*08-DRB1*07-DQB1*05-DPB1*17  Myanmar Bamar 0.010946
 288  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.01063,456,066
 289  A*32:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.01013,456,066
 290  A*01-B*08-C*07-DRB1*04-DQB1*03-DPB1*17  Norway ethnic Norwegians 0.01004,510
 291  A*01-B*15-C*03-DRB1*01-DQB1*05-DPB1*17  Norway ethnic Norwegians 0.01004,510
 292  A*01-B*40-C*03-DRB1*03-DQB1*02-DPB1*17  Norway ethnic Norwegians 0.01004,510
 293  A*01-B*41-C*17-DRB1*07-DQB1*02-DPB1*17  Norway ethnic Norwegians 0.01004,510
 294  A*01-B*50-C*07-DRB1*04-DQB1*03-DPB1*17  Norway ethnic Norwegians 0.01004,510
 295  A*02-B*07-C*07-DRB1*01-DQB1*05-DPB1*17  Norway ethnic Norwegians 0.01004,510
 296  A*02-B*08-C*07-DRB1*07-DQB1*02-DPB1*17  Norway ethnic Norwegians 0.01004,510
 297  A*03-B*07-C*07-DRB1*01-DQB1*03-DPB1*17  Norway ethnic Norwegians 0.01004,510
 298  A*03-B*13-C*06-DRB1*07-DQB1*02-DPB1*17  Norway ethnic Norwegians 0.01004,510
 299  A*11-B*13-C*06-DRB1*07-DQB1*02-DPB1*17  Norway ethnic Norwegians 0.01004,510
 300  A*11-B*39-C*07-DRB1*13-DQB1*06-DPB1*17  Norway ethnic Norwegians 0.01004,510

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 345) 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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