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 1,011) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*24:02-B*07:02-C*04:03-DRB1*12:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 302  A*24:02-B*15:20-C*04:03-DRB1*03:01-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 303  A*24:02-B*18:01-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 304  A*24:02-B*35:02-C*04:03-DRB1*15:01-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 305  A*24:02-B*40:01-C*04:03-DRB1*04:06-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 306  A*24:02-B*40:01-C*04:03-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 307  A*24:02-B*55:01-C*04:03-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 308  A*24:03-B*27:06-C*04:03-DRB1*11:01-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 309  A*24:07-B*15:13-C*04:03-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 310  A*24:07-B*15:13-C*04:03-DRB1*08:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 311  A*24:07-B*15:21-C*04:03-DRB1*08:03-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 312  A*24:07-B*15:25-C*04:03-DRB1*08:03-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 313  A*24:07-B*15:25-C*04:03-DRB1*12:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 314  A*24:07-B*15:25-C*04:03-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.0526951
 315  A*24:07-B*27:06-C*04:03-DRB1*15:29-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 316  A*24:07-B*38:02-C*04:03-DRB1*12:12-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 317  A*24:07-B*44:03-C*04:03-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 318  A*24:07-B*51:01-C*04:03-DRB1*12:02-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 319  A*24:10-B*15:02-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 320  A*24:10-B*41:01-C*04:03-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 321  A*26:01-B*13:01-C*04:03-DRB1*12:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 322  A*26:01-B*15:25-C*04:03-DRB1*04:03-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 323  A*30:01-B*35:01-C*04:03-DRB1*12:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 324  A*32:01-B*40:01-C*04:03-DRB1*15:02-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 325  A*33:01-B*15:21-C*04:03-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 326  A*34:01-B*13:01-C*04:03-DRB1*15:01-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 327  A*34:01-B*13:01-C*04:03-DRB1*15:02-DQB1*04:01  Malaysia Peninsular Malay 0.0526951
 328  A*34:01-B*15:02-C*04:03-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 329  A*34:01-B*15:13-C*04:03-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 330  A*34:01-B*15:21-C*04:03-DRB1*04:02-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 331  A*34:01-B*15:21-C*04:03-DRB1*11:05-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 332  A*34:01-B*15:21-C*04:03-DRB1*13:02-DQB1*06:09  Malaysia Peninsular Malay 0.0526951
 333  A*34:01-B*38:02-C*04:03-DRB1*12:01-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 334  A*34:01-B*44:03-C*04:03-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 335  A*34:01-B*55:11-C*04:03-DRB1*11:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 336  A*68:01-B*13:01-C*04:03-DRB1*07:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 337  A*68:01-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 338  A*68:01-B*15:25-C*04:03-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 339  A*68:01-B*38:02-C*04:03-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 340  A*74:01-B*15:25-C*04:03-DRB1*16:02-DQB1*03:01  Malaysia Peninsular Malay 0.0526951
 341  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India West UCBB 0.05195,829
 342  A*68:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.051611,446
 343  A*02:07:01-B*15:25:01-C*04:03:01-DRB1*12:02:01-DPB1*03:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.05115,266
 344  A*02:01-B*15:25-C*04:03-DRB1*12:02  Germany DKMS - United Kingdom minority 0.04801,043
 345  A*11:01-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.04755,829
 346  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India West UCBB 0.04755,829
 347  A*01:01-B*56:01-C*04:03-DRB1*15:06-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:02  United Arab Emirates Pop 1 0.0467570
 348  A*02:01-B*15:25-C*04:03-DRB1*15:01-DQA1*01:02-DQB1*05:01-DPA1*02:02-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 349  A*02:05-B*44:02-C*04:03-DRB1*15:01-DQA1*01:02-DQB1*02:01-DPA1*01:03-DPB1*03:01  United Arab Emirates Pop 1 0.0467570
 350  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*16:01  United Arab Emirates Pop 1 0.0467570
 351  A*11:01-B*13:01-C*04:03-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*02:01-DPB1*26:01  United Arab Emirates Pop 1 0.0467570
 352  A*11:43-B*15:25-C*04:03-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  United Arab Emirates Pop 1 0.0467570
 353  A*24:02-B*13:01-C*04:03-DRB1*04:05-DQA1*03:01-DQB1*04:02-DPA1*02:02-DPB1*31:01  United Arab Emirates Pop 1 0.0467570
 354  A*24:02-B*13:01-C*04:03-DRB1*07:01-DQA1*01:03-DQB1*03:02-DPA1*01:03-DPB1*294:01  United Arab Emirates Pop 1 0.0467570
 355  A*24:02-B*15:21-C*04:03-DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*31:01  United Arab Emirates Pop 1 0.0467570
 356  A*24:02-B*15:25-C*04:03-DRB1*11:06-DQA1*01:02-DQB1*03:01-DPA1*02:02-DPB1*05:01  United Arab Emirates Pop 1 0.0467570
 357  A*31:01-B*13:01-C*04:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0467570
 358  A*33:03-B*13:01-C*04:03-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*02:01-DPB1*09:01  United Arab Emirates Pop 1 0.0467570
 359  A*34:01-B*15:21-C*04:03-DRB1*15:02-DQA1*01:02-DQB1*05:03-DPA1*02:02-DPB1*03:01  United Arab Emirates Pop 1 0.0467570
 360  A*34:01-B*18:02-C*04:03-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 361  A*34:02-B*13:01-C*04:03-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*02:01-DPB1*01:01  United Arab Emirates Pop 1 0.0467570
 362  A*74:01-B*13:01-C*04:03-DRB1*15:04-DQA1*01:01-DQB1*05:02-DPA1*01:03-DPB1*14:01  United Arab Emirates Pop 1 0.0467570
 363  A*02:01-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.04602,492
 364  A*24:02-B*15:25-C*04:03-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.04542,492
 365  A*32:01-B*13:01-C*04:03-DRB1*15:01  Germany DKMS - Spain minority 0.04501,107
 366  A*11:01:01-B*15:25:01-C*04:03:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04445,266
 367  A*02:03-B*15:12-C*04:03-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 368  A*11:01-B*15:21-C*04:03-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.04401,772
 369  A*11:01-B*15:25-C*04:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.04401,772
 370  A*11:01-B*15:25-C*04:03-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 371  A*11:01-B*39:01-C*04:03-DRB1*11:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 372  A*11:02-B*13:01-C*04:03-DRB1*04:05-DQB1*04:01  USA Asian pop 2 0.04401,772
 373  A*24:02-B*13:01-C*04:03-DRB1*08:02-DQB1*03:01  USA Asian pop 2 0.04401,772
 374  A*24:02-B*15:12-C*04:03-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 375  A*24:02-B*15:25-C*04:03-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.04401,772
 376  A*24:07-B*15:21-C*04:03-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 377  A*24:07-B*15:25-C*04:03-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.04401,772
 378  A*26:01-B*15:21-C*04:03-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.04401,772
 379  A*29:01-B*15:25-C*04:03-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.04401,772
 380  A*31:01-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.04401,772
 381  A*33:03-B*15:25-C*04:03-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 382  A*33:03-B*46:01-C*04:03-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 383  A*34:01-B*15:21-C*04:03-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.04401,772
 384  A*02:11-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.04372,492
 385  A*11:01-B*13:01-C*04:03-DRB1*07:01-DQB1*02:02  India East UCBB 0.04362,403
 386  A*02:03:01-B*40:01:02-C*04:03:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04345,266
 387  A*24:02-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India West UCBB 0.04315,829
 388  A*01:01-B*13:01-C*04:03-DRB1*15:01  Germany DKMS - Portugal minority 0.04301,176
 389  A*24:02-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India Central UCBB 0.04234,204
 390  A*02:11-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India East UCBB 0.04162,403
 391  A*11:01-B*13:01-C*04:03-DRB1*12:02-DQB1*05:03  India East UCBB 0.04162,403
 392  A*11:01-B*15:25-C*04:03-DRB1*09:01-DQB1*03:03  India East UCBB 0.04162,403
 393  A*11:01-B*15:25-C*04:03-DRB1*12:02-DQB1*03:01  India East UCBB 0.04162,403
 394  A*24:02-B*13:01-C*04:03-DRB1*03:01-DQB1*02:01  India East UCBB 0.04162,403
 395  A*24:02-B*13:01-C*04:03-DRB1*04:03-DQB1*03:02  India East UCBB 0.04162,403
 396  A*01:01-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  India East UCBB 0.04152,403
 397  A*24:02-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.041311,446
 398  A*11:01-B*40:01-C*04:03-DRB1*14:54  Hong Kong Chinese BMDR 0.04067,595
 399  A*26:01-B*13:01-C*04:03-DRB1*12:02-DQB1*03:01  India Tamil Nadu 0.04012,492
 400  A*33:03-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.04012,492

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 1,011) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  


   

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