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 1,444) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.39582,492
 202  A*02:01-B*15:02-DRB1*12:02  Hong Kong Chinese cord blood registry 0.39523,892
 203  A*02:01-B*15:02-C*08:01-DRB1*12:02  Hong Kong Chinese BMDR 0.38177,595
 204  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  China Zhejiang Han 0.37451,734
 205  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India East UCBB 0.36272,403
 206  A*11:01-B*15:02-DRB1*09:01  Hong Kong Chinese cord blood registry 0.33843,892
 207  A*02:03-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.3378296
 208  A*11:01-B*15:02-C*08:01-DRB1*15:04-DQB1*05:02  India Northeast UCBB 0.3378296
 209  A*24:02-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.3378296
 210  A*33:03-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  India Northeast UCBB 0.3378296
 211  A*02-B*15:02-DRB1*01-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 212  A*26-B*15:02-DRB1*01-DQB1*05  Mexico Michoacan, Morelia 0.3311150
 213  A*31-B*15:02-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.3311150
 214  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Southeast Asian 0.316927,978
 215  A*24:02-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.3155951
 216  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.31101,772
 217  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Vietnamese 0.309543,540
 218  A*02:03-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India East UCBB 0.30572,403
 219  A*24:02:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.30335,266
 220  A*02:01-B*15:02-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 221  A*02:01-B*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.3030330
 222  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Chinese 0.301699,672
 223  A*02:01-B*15:02-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*03:02-DPB1*04:01  South Africa Worcester 0.3000159
 224  A*02:06-B*15:02-C*08:01-DRB1*04:05-DQA1*03:01-DQB1*04:02-DPB1*05:01  South Africa Worcester 0.3000159
 225  A*24:02-B*15:02-C*08:01-DRB1*03:02-DQA1*06:01-DQB1*03:02-DPB1*04:02  South Africa Worcester 0.3000159
 226  A*24:07-B*15:02-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*105:01  South Africa Worcester 0.3000159
 227  A*30:02-B*15:02-C*03:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*09:01  South Africa Worcester 0.3000159
 228  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  India South UCBB 0.292511,446
 229  A*02-B*15:02-DRB1*08-DQB1*04  Mexico Veracruz, Veracruz city 0.2907171
 230  A*01:01:01-B*15:02:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 231  A*02:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 232  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 233  A*32:01:01-B*15:02:01-C*08:01:01-DRB1*14:04:01-DQB1*05:03:01  India Karnataka Kannada Speaking 0.2870174
 234  A*33:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  India Karnataka Kannada Speaking 0.2870174
 235  A*33:03:01-B*15:02:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 236  A*33:03:01-B*15:02:01-C*15:02:01-DRB1*15:02:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 237  A*02:03-B*15:02  USA Asian pop 2 0.28201,772
 238  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.2810356
 239  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*04:01  Sri Lanka Colombo 0.2801714
 240  A*02-B*15:02-DRB1*09-DQB1*03:03  Mexico Sinaloa Rural 0.2732183
 241  A*11:02-B*15:02-C*08:01-DRB1*12:02  Hong Kong Chinese BMDR 0.27297,595
 242  A*24:02-B*15:02-C*08:01-DRB1*12:02  Germany DKMS - China minority 0.27201,282
 243  A*11:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.26901,772
 244  A*01:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 245  A*02:11:01-B*15:02:01-C*04:03:01-DRB1*04:03:01-DQB1*03:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 246  A*24-B*15:02-DRB1*07-DQB1*02  Mexico Veracruz, Xalapa 0.2674187
 247  A*24:17-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.26701,772
 248  A*34:01-B*15:02-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.2639951
 249  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*21:01  USA San Diego 0.2600496
 250  A*02:01-B*15:02-C*01:02-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 251  A*02:01-B*15:02-C*07:02-DRB1*08:03-DQB1*06:01  Malaysia Peninsular Chinese 0.2577194
 252  A*02:01-B*15:02-C*08:01-DRB1*03:20-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 253  A*02:03-B*15:02-C*07:02-DRB1*12:01-DQB1*06:01  Malaysia Peninsular Chinese 0.2577194
 254  A*02:06-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 255  A*11:01-B*15:02-C*01:02-DRB1*03:01-DQB1*06:01  Malaysia Peninsular Chinese 0.2577194
 256  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Chinese 0.2577194
 257  A*11:01-B*15:02-C*08:01-DRB1*15:01-DQB1*06:10  Malaysia Peninsular Chinese 0.2577194
 258  A*24:02-B*15:02-C*08:01-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 259  A*24:02-B*15:02-C*08:01-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Chinese 0.2577194
 260  A*24:02-B*15:02-C*14:02-DRB1*16:02-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 261  A*33:01-B*15:02-C*07:05-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 262  A*02:03-B*15:02-DRB1*12:02  Hong Kong Chinese cord blood registry 0.25723,892
 263  A*02:03-B*15:02-C*08:01-DRB1*12:02  Hong Kong Chinese BMDR 0.25417,595
 264  A*24:02:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.25321,734
 265  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Filipino 0.252550,614
 266  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.25245,266
 267  A*11:01-B*15:02-C*08:01-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.2485951
 268  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.2485185,391
 269  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Chinese 0.239299,672
 270  A*24:02-B*15:02-C*08:01-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.2388951
 271  A*11:02-B*15:02-DRB1*12:02  Hong Kong Chinese cord blood registry 0.23753,892
 272  A*02:06:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.23435,266
 273  A*11:01-B*15:02-C*08:01-DRB1*09:01  Hong Kong Chinese BMDR 0.23337,595
 274  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.2333185,391
 275  A*11:01-B*15:02-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.22701,772
 276  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.22315,266
 277  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.22195,266
 278  A*24:02-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  India East UCBB 0.21392,403
 279  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.2101714
 280  A*24:02-B*15:02-DRB1*15:01  Hong Kong Chinese cord blood registry 0.20723,892
 281  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP Korean 0.203577,584
 282  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Southeast Asian 0.199227,978
 283  A*11:01-B*15:02-DRB1*16:02  Hong Kong Chinese cord blood registry 0.19763,892
 284  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:01:04-DPB1*05:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 285  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.19275,266
 286  A*11:02:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*21:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.19215,266
 287  A*02:06:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.18475,266
 288  A*01:01-B*15:02-C*05:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 289  A*02:01-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 290  A*02:01-B*15:02-C*15:02-DRB1*15:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 291  A*02:03-B*15:02-C*08:01-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 292  A*02:06-B*15:02-C*08:01-DRB1*15:01-DQB1*03:03  Malaysia Peninsular Indian 0.1845271
 293  A*02:06-B*15:02-C*12:02-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 294  A*02:11-B*15:02-C*04:01-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 295  A*02:11-B*15:02-C*08:01-DRB1*14:01-DQB1*05:03  Malaysia Peninsular Indian 0.1845271
 296  A*02:11-B*15:02-C*15:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 297  A*02:61-B*15:02-C*08:01-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 298  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 299  A*11:33-B*15:02-C*08:01-DRB1*14:04-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 300  A*24:02-B*15:02-C*07:01-DRB1*12:02-DQB1*03:02  Malaysia Peninsular Indian 0.1845271

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 1,444) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 15  


   

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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