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 301 to 400 (from 2,715) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*68:01-B*39:01-DRB1*14:04-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 302  A*68:01-B*40:02-DRB1*14:04-DQB1*03:01  Mexico Mexico City Tlalpan 0.1515330
 303  A*68:01-B*52:01-DRB1*14:04  Israel Bukhara Jews 0.15102,317
 304  A*02:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.149111,446
 305  A*33:03-B*44:03-C*07:06-DRB1*14:04-DQB1*05:03  India West UCBB 0.14825,829
 306  A*26:01-B*38:01-DRB1*14:04  Israel Druze 0.14705,914
 307  A*11:01-B*15:02-C*08:01-DRB1*14:04-DQB1*05:03  Malaysia Peninsular Malay 0.1454951
 308  A*33:03-B*44:03-C*07:06-DRB1*14:04-DQB1*05:03  India Central UCBB 0.14484,204
 309  A*74:01-B*51:01-C*14:02-DRB1*14:04  Hong Kong Chinese BMDR 0.14487,595
 310  A*24:02-B*15:01-C*03:03-DRB1*14:04-DQB1*05:03  India North UCBB 0.14425,849
 311  A*02:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.14282,403
 312  A*11:01-B*35:03-C*04:01-DRB1*14:04-DQB1*05:03  India South UCBB 0.142411,446
 313  A*24:02-B*55:01-C*01:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.14212,492
 314  A*24:02-B*07:02-C*07:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.14202,492
 315  A*68:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.141311,446
 316  A*02:11-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.14082,492
 317  A*24:02-B*40:06-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.14052,492
 318  A*24:02-B*51:01-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.14022,492
 319  A*02:01-B*35:03-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*26:01  Sri Lanka Colombo 0.1401714
 320  A*02:11-B*15:05-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 321  A*02:11-B*40:06-C*15:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.1401714
 322  A*02:11-B*51:01-C*07:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.1401714
 323  A*02:11-B*51:01-C*14:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.1401714
 324  A*03:01-B*18:01-C*07:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*16:01  Sri Lanka Colombo 0.1401714
 325  A*03:01-B*35:03-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 326  A*11:01-B*07:05-C*07:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.1401714
 327  A*11:01-B*35:01-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*26:01  Sri Lanka Colombo 0.1401714
 328  A*11:01-B*55:01-C*01:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.1401714
 329  A*24:02-B*07:02-C*07:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.1401714
 330  A*24:02-B*15:05-C*03:03-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:02  Sri Lanka Colombo 0.1401714
 331  A*24:02-B*40:06-C*12:04-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*01:01  Sri Lanka Colombo 0.1401714
 332  A*24:02-B*57:01-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.1401714
 333  A*30:01-B*13:02-C*06:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*02:01  Sri Lanka Colombo 0.1401714
 334  A*33:03-B*35:01-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*01:01  Sri Lanka Colombo 0.1401714
 335  A*33:03-B*35:03-C*04:01-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*03:01  Sri Lanka Colombo 0.1401714
 336  A*33:03-B*40:06-C*15:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPB1*04:01  Sri Lanka Colombo 0.1401714
 337  A*01:01:01-B*15:02:01-C*08:01:01-DRB1*14:04:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 338  A*02:01:01-B*15:01:01-C*12:03:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 339  A*02:01:01-B*56:01:01-C*04:03:01-DRB1*14:04:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 340  A*02:11:01-B*15:01:01-C*03:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 341  A*02:11:01-B*40:06:01-C*07:02:01-DRB1*14:04:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 342  A*02:16-B*57:01:01-C*06:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 343  A*03:01:01-B*35:03:01-C*04:10-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 344  A*03:01:01-B*51:01:01-C*16:02:01-DRB1*14:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 345  A*11:01:01-B*44:02:01-C*04:10-DRB1*14:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 346  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 347  A*11:01:01-B*58:01:01-C*12:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 348  A*11:01-B*52:01-C*05:01-DRB1*14:04-DQB1*03:01  Italy pop 5 0.1400975
 349  A*24:02:01-B*07:02:01-C*12:02:02-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 350  A*24:02:01-B*15:01:01-C*01:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 351  A*24:02:01-B*18:01:01-C*12:03:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 352  A*24:02:01-B*40:01:01-C*12:03:01-DRB1*14:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 353  A*24:02:01-B*40:06:01-C*03:02:02-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 354  A*24:02:01-B*40:06:01-C*04:01:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 355  A*24:02:01-B*40:06:04-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 356  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 357  A*24:02:13-B*57:01:01-C*06:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 358  A*26:01:01-B*35:03:01-C*04:01:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 359  A*26:01:01-B*40:06:04-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 360  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 361  A*31:01:02-B*18:01:01-C*07:01:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 362  A*31:01:02-B*40:06:01-C*07:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 363  A*31:01:02-B*51:01:01-C*07:04:01-DRB1*14:04:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 364  A*32:01:01-B*15:01:01-C*03:03:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 365  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 366  A*68:01:02-B*15:01:01-C*04:01:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 367  A*68:01:02-B*38:02:01-C*07:02:01-DRB1*14:04:01-DQB1*03:01:01  India Kerala Malayalam speaking 0.1400356
 368  A*68:01:02-B*40:06:01-C*15:02:01-DRB1*14:04:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 369  A*24:02-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  India West UCBB 0.13945,829
 370  A*02:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.13724,204
 371  A*02:11-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.13722,403
 372  A*01:01-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.13704,335
 373  A*68:01-B*15:18-C*07:04-DRB1*14:04-DQB1*05:03  India South UCBB 0.136011,446
 374  A*11:01-B*52:04-C*12:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.13524,204
 375  A*11:01-B*35:03-C*04:01-DRB1*14:04-DQB1*05:03  India North UCBB 0.13395,849
 376  A*01:01-B*57:01-C*06:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.13301,772
 377  A*01:01-B*58:01-C*03:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.13305,849
 378  A*03:01-B*35:01-C*04:01-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.13301,772
 379  A*24:02-B*35:03-C*12:03-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.13301,772
 380  A*32:01-B*40:02-DRB1*14:04  Israel Druze 0.13305,914
 381  A*11:01-B*35:01-C*04:01-DRB1*14:04-DQB1*05:03  India Central UCBB 0.13134,204
 382  A*01:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.13055,849
 383  A*01:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.12944,204
 384  A*02:01-B*44:02-DRB1*14:04  Israel Druze 0.12905,914
 385  A*24:02-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.12862,403
 386  A*24:02-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.12852,492
 387  A*68:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.12825,829
 388  A*02:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.12745,829
 389  A*11:01-B*35:03-C*04:01-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.12412,492
 390  A*24:02-B*35:01-C*04:01-DRB1*14:04-DQB1*05:03  India East UCBB 0.12392,403
 391  A*68:01-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.12325,849
 392  A*11:01-B*40:06-C*15:02-DRB1*14:04  Germany DKMS - Romania minority 0.12201,234
 393  A*33:03-B*44:03-C*07:06-DRB1*14:04-DQB1*05:03  India North UCBB 0.12195,849
 394  A*02:02-B*35:08-DRB1*14:04  Israel Iraq Jews 0.121013,270
 395  A*24:02-B*52:01-C*12:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.12085,829
 396  A*68:01-B*40:01-C*12:03-DRB1*14:04-DQB1*05:03  India West UCBB 0.12085,829
 397  DRB1*14:04-DQB1*05:03  Italy pop 5 0.1200975
 398  A*68:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.11945,849
 399  A*24:02-B*15:01-C*03:03-DRB1*14:04-DQB1*05:03  India East UCBB 0.11872,403
 400  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.11801,772

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 2,715) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  


   

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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