Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 301 to 400 (from 2,356) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  B*39:01-C*07:02-DRB1*14:02-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 302  B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 303  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.33604,856
 304  A*02:01-B*39:01-C*07:01-DRB1*04:03-DQA1*03:01-DQB1*02:01  Brazil Puyanawa 0.3333150
 305  A*31:01-B*39:01-C*08:03-DRB1*16:02-DQA1*05:05-DQB1*03:02  Brazil Puyanawa 0.3333150
 306  A*68:01-B*39:01-C*03:02-DRB1*14:02-DQA1*05:03-DQB1*03:02  Brazil Puyanawa 0.3333150
 307  A*68:01-B*39:01-C*07:02-DRB1*04:11-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 0.3333150
 308  A*68:01-B*39:01-C*07:02-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 0.3333150
 309  A*68:01-B*39:01-C*08:03-DRB1*16:02-DQA1*05:05-DQB1*03:01  Brazil Puyanawa 0.3333150
 310  A*11:01-B*39:01-C*07:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.33003,078
 311  A*24:02-B*39:01-C*07:02-DRB1*14:01-DQB1*05:03  USA NMDP Hawaiian or other Pacific Islander 0.328111,499
 312  A*03:01:14-B*39:01:01-C*07:02:01-DRB1*08:01-DQA1*04:01:01-DQB1*04:02:01-DPA1*02:01:02-DPB1*01:01:01  Russia Belgorod region 0.3268153
 313  A*11:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 314  A*25:01:01-B*39:01:01-C*12:03:01-DRB1*04:02:01-DQA1*03:01:01-DQB1*03:02-DPA1*02:01:01-DPB1*11:01:01  Russia Belgorod region 0.3268153
 315  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 316  A*02:01:01-B*39:01:01-C*05:37-DRB1*03:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*350:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 317  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 318  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 319  A*68:01:01-B*39:01:01-C*12:03:01-DRB1*07:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 320  A*02:01-B*39:01-C*12:03-DRB1*16:01  Germany DKMS - Greece minority 0.31101,894
 321  A*11:01-B*39:01-C*07:02-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.31101,772
 322  A*02:01-B*39:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.3030330
 323  A*02:01-B*39:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 324  A*24:02-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 325  A*68:01-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 326  A*68:01-B*39:01-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.3030330
 327  A*68:01-B*39:01-DRB1*14:02-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 328  A*68:01-B*39:01-DRB1*14:06-DQB1*03:01  Mexico Mexico City Tlalpan 0.3030330
 329  A*02:01-B*39:01-C*12:03-DRB1*12:01  Italy pop 5 0.3000975
 330  A*02:01-B*39:01-C*12:03-DRB1*16:01  Italy pop 5 0.3000975
 331  A*30:02-B*39:01-C*12:03-DRB1*01:01-DQA1*01:02-DQB1*06:03-DPB1*04:02  South Africa Worcester 0.3000159
 332  A*30:04-B*39:01-C*02:10-DRB1*14:04-DQA1*02:01-DQB1*06:02-DPB1*17:01  South Africa Worcester 0.3000159
 333  A*68:01-B*39:01-C*12:03-DRB1*16:01  Italy pop 5 0.3000975
 334  A*02:01-B*39:01-C*12:03-DRB1*14:01-DQB1*05:03  Italy pop 5 0.2900975
 335  A*25:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Italy pop 5 0.2900975
 336  B*39:01-DRB1*01:01  Italy pop 5 0.2900975
 337  A*02:03:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 338  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 339  A*33:03:01-B*39:01:01-C*12:04:02-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.2870174
 340  A*02:01-B*39:01-C*12:03-DRB1*16:01  Germany DKMS - Romania minority 0.28301,234
 341  B*39:01-C*15:02  Italy pop 5 0.2800975
 342  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.27741,734
 343  A*25:01-B*39:01-C*12:03  Italy pop 5 0.2700975
 344  A*68:01-B*39:01-C*12:03  Italy pop 5 0.2700975
 345  A*01:01:01-B*39:01:01-C*12:03:01-DRB1*13:02:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 346  A*24:33-B*39:01:01-C*12:04:02-DRB1*03:01:01-DQB1*02:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 347  A*68:01:02-B*39:01:01-C*03:03:01-DRB1*04:05:01-DQB1*04:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 348  A*03:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 349  A*11:01:01:01-B*39:01:01:03-C*07:02:01-DRB1*08:03:02-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 350  A*24:02:01:01-B*39:01:01-C*12:03:01:01-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 351  A*24:02:01:01-B*39:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 352  A*30:01:01-B*39:01:01:03-C*07:02:01-DRB1*13:02:01-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 353  A*30:01:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 354  A*01:01-B*39:01-C*12:03-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*04:01  USA San Diego 0.2600496
 355  A*02:01-B*39:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  USA San Diego 0.2600496
 356  A*02:01-B*39:01-C*03:38-DRB1*04:07-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 357  A*02:06-B*39:01-C*07:02-DRB1*12:02-DQB1*03:02  Malaysia Peninsular Chinese 0.2577194
 358  A*02:07-B*39:01-C*01:02-DRB1*09:01-DQB1*03:03  Malaysia Peninsular Chinese 0.2577194
 359  A*11:01-B*39:01-C*07:02-DRB1*12:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 360  A*24:02-B*39:01-C*03:03-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Chinese 0.2577194
 361  A*26:01-B*39:01-C*03:04-DRB1*16:02-DQB1*05:02  Malaysia Peninsular Chinese 0.2577194
 362  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Hawaiian or other Pacific Islander 0.255311,499
 363  A*03:01-B*39:01-DRB1*10:01  Israel Kavkazi Jews 0.24602,840
 364  A*24:02-B*39:01-DRB1*11:04  Israel Iraq Jews 0.246013,270
 365  B*39:01-DRB1*11:04  Italy pop 5 0.2400975
 366  A*02:01-B*39:01-C*12:03-DRB1*16:01  Germany DKMS - Croatia minority 0.23702,057
 367  A*02:01-B*39:01-C*07:02-DRB1*08:04-DQB1*03:01  USA NMDP American Indian South or Central America 0.23415,926
 368  A*24:02-B*39:01-C*07:02-DRB1*08:03-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.232911,499
 369  A*01:01:01-B*39:01:01-C*14:02:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 370  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 371  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*07:01:01-DQB1*03:03:02  Spain, Canary Islands, Gran canaria island 0.2300215
 372  A*24:02:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 373  A*26:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 374  A*29:02:01-B*39:01:01-C*12:03:01-DRB1*14:01:01-DQB1*05:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 375  A*32:01:01-B*39:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 376  A*68:01-B*39:01-C*07:02-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  Mexico Chiapas Lacandon Mayans 0.2294218
 377  A*68:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 378  A*11:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.22082,492
 379  A*02:06-B*39:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*02:02  Nicaragua Managua 0.2165339
 380  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Germany DKMS - Italy minority 0.21601,159
 381  A*11:01-B*39:01-C*07:02-DRB1*08:03  Hong Kong Chinese BMDR 0.21097,595
 382  B*39:01-C*03:04  Mexico Mexico City Mestizo pop 2 0.2100234
 383  B*39:01-C*07:02  USA African American pop 4 0.20802,411
 384  A*11:01-B*39:01-DRB1*08:03  Hong Kong Chinese cord blood registry 0.20443,892
 385  A*24:02-B*39:01-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.20401,075
 386  A*24:02-B*39:01  USA Asian pop 2 0.20301,772
 387  A*01:01-B*39:01-C*12:03-DRB1*11:01  Italy pop 5 0.2000975
 388  A*02:01-B*39:01-C*01:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 389  A*02:01-B*39:01-C*12:03-DRB1*01:01  Italy pop 5 0.2000975
 390  A*02:06-B*39:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.20003,078
 391  A*24:02-B*39:01-C*12:03-DRB1*15:01-DQB1*06:02:01  England North West 0.2000298
 392  A*25:01-B*39:01-C*12:03-DRB1*07:01:01-DQB1*02:01  England North West 0.2000298
 393  A*30:01-B*39:01-C*07:02-DRB1*11:01-DQB1*03:01  England North West 0.2000298
 394  A*32:01-B*39:01-C*12:03-DRB1*16:01  Italy pop 5 0.2000975
 395  A*02:01-B*39:01-C*07:02-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.19501,028
 396  A*02:01-B*39:01-C*07:02-DRB1*08:03  Germany DKMS - China minority 0.19501,282
 397  A*01:01:01-B*39:01:01-C*08:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 398  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 399  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*02:07:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 400  A*24:02:01-B*39:01:01-C*05:01:01-DRB1*12:10-DQB1*03:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521

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 301 to 400 (from 2,356) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  


   

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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