Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 301 to 400 (from 7,008) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 71  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Vietnamese 1.304843,540
 302  A*33:01-B*14:02-DRB1*07:01  Azores Oriental Islands 1.300043
 303  A*33-B*07-DRB1*13  Brazil Parana Afro Brazilian 1.300077
 304  A*33-B*14-DRB1*01  Portugal Porto 1.30007,937
 305  A*33-B*14-DRB1*01  Portugal Santarem 1.30003,865
 306  A*33-B*14-DRB1*01  Portugal Castelo Branco 1.3000327
 307  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Michoacan Rural 1.2894348
 308  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Korean 1.289377,584
 309  A*33:03-B*53:01  USA African American pop 4 1.28902,411
 310  A*33-B*14:02-DRB1*07-DQB1*02  Ecuador Amazonia Mixed Ancestry 1.282139
 311  A*33:03-B*35:08-DRB1*13:03  Gaza 1.282042
 312  A*33:03-B*44:02-DRB1*04:03  Gaza 1.282042
 313  A*33:01-C*08:02  Italy pop 5 1.2800975
 314  A*33:03-B*58:01-DRB1*13:02  Hong Kong Chinese cord blood registry 1.27843,892
 315  A*33:01:01-B*44:03:01-DRB1*01:02:01  Libya Cyrenaica 1.2700118
 316  A*33-B*13-DRB1*07  India sub-Himalayan West Bengal Kami 1.2700158
 317  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP Chinese 1.262599,672
 318  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 1.2605714
 319  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 1.2605714
 320  A*33:03:01-B*52:01:01  China Jingpo Minority 1.2520105
 321  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Mexico City East 1.250079
 322  A*33:01-B*14:02-DRB1*01:02  Israel Arab pop 2 1.240012,301
 323  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Central UCBB 1.22414,204
 324  A*33-B*14-C*08-DRB1*01  Macedonia 1.2238286
 325  A*33-B*14-DRB1*01  Macedonia 1.2238286
 326  A*33-DRB1*01  Macedonia 1.2238286
 327  A*33:01-B*41:02-DRB1*13:03  Israel Georgia Jews 1.22004,471
 328  A*33-B*14:02-DRB1*03:01-DQB1*02  Mexico Hidalgo, Pachuca 1.219541
 329  A*33:01-B*58:01-C*07:02  China Guizhou Province Miao pop 2 1.200085
 330  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQB1*06:04-DPB1*02:01  Japan Central 1.2000371
 331  A*33:03-B*53:01-C*04:01  Mali Bandiagara 1.2000138
 332  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:05  Vietnam Hanoi Kinh pop 2 1.2000170
 333  A*33-B*44-DRB1*13:02  USA NMDP Asian and Pacific Islander 1.2000359,423
 334  A*33-B*58-DRB1*13  China Shaanxi Province Han 1.200010,000
 335  A*33-B*53-DRB1*11:02-DQB1*03:01  Colombia San Basilio de Palenque 1.191042
 336  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Zacatecas, Zacatecas city 1.190584
 337  A*33-B*14:02-DRB1*15-DQB1*06  Mexico Zacatecas, Zacatecas city 1.190584
 338  A*33-B*14-DRB1*01  Italy Lombardy 1.1800674
 339  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Veracruz, Veracruz city 1.1628171
 340  A*33-B*14:02-DRB1*01-DQB1*05  Ecuador Mixed Ancestry 1.15091,173
 341  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 1.1490174
 342  A*33-B*14-DRB1*03:01-DQB1*02:01  Bolivia La Paz Aymaras 1.149087
 343  A*33:03-B*58:01-C*03:02-DRB1*13:02  Hong Kong Chinese BMDR 1.14087,595
 344  A*33-B*44-C*01-DRB1*07-DQB1*05-DPB1*02  Myanmar Kayin 1.136044
 345  A*33-B*56-C*07-DRB1*15  Myanmar Kayin 1.136044
 346  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 1.1312221
 347  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India East UCBB 1.13112,403
 348  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Jalisco, Guadalajara city 1.13071,189
 349  A*33:01-B*14:02-C*08:02-DRB1*01:02  Germany DKMS - Spain minority 1.12901,107
 350  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  India Kerala Malayalam speaking 1.1240356
 351  A*33:03:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 1.1208186
 352  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 1.119370,890
 353  A*33-B*14:02-DRB1*01-DQB1*05  Mexico Queretaro, Queretaro city 1.111145
 354  A*33-B*40:01-DRB1*11-DQB1*03:01  Mexico Veracruz, Poza Rica 1.111145
 355  A*33-B*44-DRB1*04-DQB1*03:01  Mexico Veracruz, Poza Rica 1.111145
 356  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 1.1070271
 357  A*33:01-B*44:03-C*07:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 1.1041951
 358  A*33:01-B*07:02:01-DRB1*11:13  Portugal North 1.100046
 359  A*33:01-B*44:03:01-DRB1*07:01:01  Portugal North 1.100046
 360  A*33:01-B*51:01:01-DRB1*15:01:01  Portugal North 1.100046
 361  A*33:01-B*58:01-DRB1*03:01  Israel Bukhara Jews 1.10002,317
 362  A*33:01-B*78:01  Mali Bandiagara 1.1000138
 363  A*33:03-B*15:16  Mali Bandiagara 1.1000138
 364  A*33:03-B*27:05:02/27:05:04/27:13-DRB1*07:01:01  Portugal North 1.100046
 365  A*33:03-B*44:03-C*07:01  USA Asian 1.1000358
 366  A*33:03-B*44:03-C*07:01  China Canton Han 1.1000264
 367  A*33:03-B*51:01:01-C*15:02:01-DRB1*03:01  Iran Baloch 1.1000100
 368  A*33:03-B*58:01-DRB1*13:02-DPB1*09:01  China Canton Han 1.1000264
 369  A*33:03-B*58:02  Cameroon Yaounde 1.100092
 370  A*33-B*14-C*08-DRB1*01-DQB1*05  Spain Majorca 1.1000407
 371  A*33-B*14-C*08-DRB1*04-DQB1*03  Spain Majorca 1.1000407
 372  A*33-B*14-DRB1*01  Portugal Lisbon 1.100017,420
 373  A*33-B*14-DRB1*01  Portugal Faro 1.10001,242
 374  A*33-B*14-DRB1*01  Portugal Setubal 1.10005,268
 375  A*33-B*14-DRB1*01  Portugal Aveiro 1.10005,933
 376  A*33-B*14-DRB1*01  Portugal Beja 1.1000699
 377  A*33-B*58-DRB1*13:02  USA NMDP Asian and Pacific Islander 1.1000359,423
 378  A*33:01-B*14:02-C*08:02-DRB1*01:02  USA Italy Ancestry 1.0990273
 379  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 1.08112,492
 380  A*33:03:01-C*08:01:01  China Jingpo Minority 1.0720105
 381  A*33:03:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 1.0630174
 382  A*33-B*14-DRB1*01:01  Colombia Barranquilla 1.0600188
 383  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP South Asian Indian 1.0562185,391
 384  A*33-B*58-DRB1*03:01-DQB1*02  Mexico Aguascalientes state 1.052695
 385  A*33-B*14-DRB1*01  Iran pop 4 1.0504855
 386  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  India South UCBB 1.047311,446
 387  A*33:03:01-B*52:01:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 388  A*33-B*35-C*04-DRB1*14  Myanmar Rakhine 1.042048
 389  A*33-B*44-C*14-DRB1*15  Myanmar Rakhine 1.042048
 390  A*33-B*52-C*04-DRB1*12  Myanmar Rakhine 1.042048
 391  A*33-B*52-C*07-DRB1*04  Myanmar Rakhine 1.042048
 392  A*33-B*18-DRB1*11-DQB1*03:01  Mexico Quintana Roo, Cancun 1.041748
 393  A*33:01-B*14:02-DRB1*01:02  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 394  A*33:01-B*50:01-DRB1*13:04  Mexico Oaxaca Jamiltepec Mixtec 1.040096
 395  A*33-B*07-DRB1*15:01-DQB1*06:02  Colombia Wayu from Guajira Peninsula 1.040048
 396  A*33-B*53-DRB1*15:01-DQB1*04:02  Colombia Wayu from Guajira Peninsula 1.040048
 397  A*33:03:01-C*03:02:01-DRB1*13:02:01  China Jingpo Minority 1.0310105
 398  A*33:01-B*52:01-DRB1*15:01-DQB1*06:01  Iran Tabriz Azeris 1.030997
 399  A*33:01-B*58:01-DRB1*03:01-DQB1*02:01  Iran Tabriz Azeris 1.030997
 400  A*33-B*14:02-DRB1*08-DQB1*04  Mexico Nayarit, Tepic 1.030997

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 7,008) 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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional