Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 201 to 300 (from 7,043) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 71  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*02:01-B*46:01-C*01:02  China Canton Han 1.1000264
 202  A*02:06-B*15:01-C*01:02  USA North American Native 1.1000187
 203  A*24:02-B*46:01-C*01:02-DRB1*09:01  Taiwan pop 2 1.1000364
 204  A*24:02-B*54:01-C*01:02  South Korea pop 3 1.1000485
 205  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQB1*04:01  South Korea pop 3 1.1000485
 206  A*24:02-B*59:01-C*01:02-DRB1*04:05-DQB1*04:01-DPB1*04:02  Japan Central 1.1000371
 207  B*27:05-C*01:02  USA Caucasian pop 2 1.1000265
 208  A*11:01-B*46:01-C*01:02-DRB1*09:01  Hong Kong Chinese BMDR 1.09807,595
 209  B*51:01-C*01:02  Italy pop 5 1.0900975
 210  A*68:03-B*35:43-C*01:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*04:02  Nicaragua Managua 1.0823339
 211  A*02:01-C*01:02  Italy pop 5 1.0800975
 212  A*02:01-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 213  A*24:02-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 214  A*24:02-B*15:01-C*01:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Mexico Chichen Itza Maya (prehispanic) 1.063847
 215  A*31:01-B*15:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 216  A*31:01-B*15:01-C*01:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 1.063847
 217  A*68:01-B*15:01-C*01:02-DRB1*04:04-DQA1*03:01-DQB1*03:03  Mexico Chichen Itza Maya (prehispanic) 1.063847
 218  A*02:01-B*51:24-C*01:02-DRB1*04:07-DQB1*03:04  Colombia North Chimila Amerindians 1.063847
 219  A*02:58-B*08:01-C*01:02-DRB1*15:01-DQB1*03:01  Colombia North Chimila Amerindians 1.063847
 220  A*24:02-B*35:43-C*01:02-DRB1*04:07-DQB1*03:03  Colombia North Chimila Amerindians 1.063847
 221  A*68:01-B*35:43-C*01:02-DRB1*04:17-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 222  A*68:23-B*35:43-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Chimila Amerindians 1.063847
 223  A*68:23-B*35:43-C*01:02-DRB1*04:07-DQB1*03:03  Colombia North Chimila Amerindians 1.063847
 224  A*24:02-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia Bogotá Cord Blood 1.06111,463
 225  A*24:02-B*59:01-C*01:02-DRB1*04:05  Japan pop 16 1.058018,604
 226  A*02:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 1.0490143
 227  B*15:01-C*01:02  Mexico Mexico City Mestizo population 1.0490143
 228  B*35:43-C*01:02  Mexico Mexico City Mestizo population 1.0490143
 229  A*02:03:01-B*46:01:01-C*01:02:01-DRB1*14:01:01  China Jingpo Minority 1.0420105
 230  A*02:03:01-B*56:04-C*01:02:01-DRB1*15:02:01  China Jingpo Minority 1.0420105
 231  B*46:01:01-C*01:02:01-DRB1*11:01:01  China Jingpo Minority 1.0420105
 232  B*56:04-C*01:02:01-DRB1*15:02:01  China Jingpo Minority 1.0420105
 233  A*26:01:01-B*27:14-C*01:02:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 1.0417192
 234  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Japanese 1.032524,582
 235  A*02:03:01-C*01:02:01-DRB1*14:01:01  China Jingpo Minority 1.0310105
 236  A*11:01-B*46:01-C*01:02-DRB1*08:03-DQB1*06:01  Malaysia Peninsular Chinese 1.0309194
 237  A*02:01-B*51:01-C*01:02-DRB1*04:02  Germany DKMS - Bosnia and Herzegovina minority 1.00101,028
 238  A*11:01-B*54:01-C*01:02-DRB1*04:05  Japan pop 16 1.001018,604
 239  A*02:01:01-B*51:01:01-C*01:02:01  South African Mixed ancestry 1.000050
 240  A*02:01-C*01:02  Taiwan Puyuma 1.000050
 241  A*02:01-C*01:02  Taiwan Rukai 1.000050
 242  A*02:06:01-B*15:08:01-C*01:02:01  South African Indian population 1.000050
 243  A*02:07-B*46:01-C*01:02-DRB1*14:54  Taiwan pop 2 1.0000364
 244  A*03:01:01-B*07:02:01-C*01:02:01  South African Indian population 1.000050
 245  A*11:01-B*27:03-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Puyanawa 1.0000150
 246  A*24:02:01-B*40:06:01-C*01:02:01  South African Indian population 1.000050
 247  A*24:02-C*01:02  Philippines Ivatan 1.000050
 248  A*24:07-B*15:08:01-C*01:02:01  South African Indian population 1.000050
 249  A*25:01:01-B*35:01:01-C*01:02:01  South African Mixed ancestry 1.000050
 250  A*33:03:01-B*55:01:01-C*01:02:01  South African Indian population 1.000050
 251  B*27:05-C*01:02-DRB1*01:01-DQB1*05:01  Ireland South 1.0000250
 252  B*35:43-C*01:02  Mexico Oaxaca Mixtec 1.0000103
 253  B*40:01-C*01:02  Taiwan Rukai 1.000050
 254  B*46:01-C*01:02-DRB1*09:01  South Korea pop 3 1.0000485
 255  B*48:01-C*01:02  Taiwan Puyuma 1.000050
 256  B*54:01-C*01:02  Philippines Ivatan 1.000050
 257  B*54:01-C*01:02-DRB1*08:03  South Korea pop 3 1.0000485
 258  A*02:03:01-B*46:01:01-C*01:02:01  China Jingpo Minority 0.9900105
 259  A*02:03:01-B*56:04-C*01:02:01  China Jingpo Minority 0.9900105
 260  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.9900101
 261  A*26:01:01-B*46:01:01-C*01:02:01  China Jingpo Minority 0.9900105
 262  A*33:03:01-B*56:04-C*01:02:01-DRB1*12:02:01-DQB1*03:01:01  Vietnam Kinh 0.9900101
 263  B*15:25-C*01:02:01  China Jingpo Minority 0.9800105
 264  B*56:01-C*01:02:01  China Jingpo Minority 0.9800105
 265  B*56:04-C*01:02:01  China Jingpo Minority 0.9800105
 266  A*26:01:01-C*01:02:01  China Jingpo Minority 0.9710105
 267  A*02:01-B*35:43-C*01:02-DRB1*04:07-DQB1*03:18  Colombia North Wiwa El Encanto 0.961552
 268  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 269  A*24:02-B*35:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 270  A*24:02-B*35:05-C*01:02-DRB1*08:02-DQB1*03:09  Colombia North Wiwa El Encanto 0.961552
 271  A*24:02-B*35:43-C*01:02-DRB1*04:03-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 272  A*24:02-B*35:43-C*01:02-DRB1*14:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 273  A*24:02-B*51:01-C*01:02-DRB1*11:01-DQB1*03:01  Colombia North Wiwa El Encanto 0.961552
 274  A*24:17-B*40:02-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 275  A*24:57-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 276  A*31:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 277  A*31:12-B*35:43-C*01:02-DRB1*04:07-DQB1*03:18  Colombia North Wiwa El Encanto 0.961552
 278  A*31:12-B*40:02-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 279  A*68:01-B*15:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 280  A*68:01-B*35:68-C*01:02-DRB1*08:02-DQB1*03:02  Colombia North Wiwa El Encanto 0.961552
 281  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 282  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.910777,584
 283  A*02:07-B*46:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:02  Japan pop 17 0.91003,078
 284  A*02:07-B*46:01-C*01:02-DRB1*08:03  Germany DKMS - China minority 0.90001,282
 285  A*02:07-B*46:01-C*01:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP Chinese 0.886099,672
 286  B*27:05-C*01:02  USA Hispanic pop 2 0.87601,999
 287  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.866443,540
 288  A*68:03-B*35:43-C*01:02-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPB1*03:01  Nicaragua Managua 0.8658339
 289  B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 290  B*35:43-C*01:02-DRB1*04:03-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.8600234
 291  B*15:01-C*01:02  USA Hispanic pop 2 0.85801,999
 292  A*24:02-B*56:04-C*01:02-DRB1*11:01-DQB1*03:01  USA NMDP Hawaiian or other Pacific Islander 0.853611,499
 293  A*02:01:01-B*51:01:01-C*01:02:01-DRB1*07:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 294  B*59:01-C*01:02  USA Asian pop 2 0.82401,772
 295  B*55:02-C*01:02  USA Asian pop 2 0.82101,772
 296  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.81601,734
 297  A*02:01:01-B*55:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.8065186
 298  A*02:01-B*51:01-C*01:02-DRB1*14:01-DQA1*01:01-DQB1*05:03  Kosovo 0.8060124
 299  A*24:02-B*51:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Kosovo 0.8060124
 300  A*24:02:01-B*54:01:01-C*01:02:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.79201,734

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 7,043) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 71  


   

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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