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 1,842) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*68:01:01-B*40:06:01-C*15:02:01-DRB1*08:03:02-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 302  A*68:01:02-B*40:01:02-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 303  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
 304  A*02:11-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.13745,849
 305  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.13612,403
 306  A*24:02-B*40:02-C*15:02-DRB1*04:05-DQB1*05:03  USA Asian pop 2 0.13301,772
 307  A*24:02-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.13304,204
 308  A*68:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.13301,772
 309  A*01:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.13055,849
 310  A*33:03-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.12854,204
 311  A*68:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.12825,829
 312  A*01:01-B*40:06-C*15:02-DRB1*16:02  Germany DKMS - Portugal minority 0.12801,176
 313  A*01:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.12552,403
 314  A*11:01-B*40:06-C*15:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.12525,849
 315  A*24:02-B*40:06-C*15:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.12492,492
 316  A*02:11-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.12392,403
 317  A*01:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.12275,829
 318  A*11:01-B*40:06-C*15:02-DRB1*14:04  Germany DKMS - Romania minority 0.12201,234
 319  A*68:01-B*40:06-C*15:02-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.12112,492
 320  A*03:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India East UCBB 0.12002,403
 321  A*68:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.11945,849
 322  A*24:02-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.11801,772
 323  A*31:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.11605,849
 324  A*02:11-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.11555,829
 325  A*02:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.11452,492
 326  A*02:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.11424,204
 327  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  Germany DKMS - Turkey minority 0.11304,856
 328  A*02:11-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.106911,446
 329  A*24:02-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India North UCBB 0.10615,849
 330  A*68:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.10565,849
 331  A*02:11-B*40:06-C*15:02-DRB1*08:03-DQB1*03:01  India Tamil Nadu 0.10532,492
 332  A*11:01-B*40:02-C*15:02-DRB1*12:02-DQB1*05:02  Malaysia Peninsular Malay 0.1052951
 333  A*31:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.10494,204
 334  A*02:11-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.10401,772
 335  A*68:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India East UCBB 0.10402,403
 336  B*40:02-C*15:02  USA African American pop 4 0.10402,411
 337  B*40:12-C*15:05  USA African American pop 4 0.10402,411
 338  A*11:01-B*40:06-C*15:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.10395,829
 339  A*02:11-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.10115,829
 340  A*31:01-B*40:02-C*15:03-DRB1*13:01  Italy pop 5 0.1000975
 341  A*11:01-B*40:06-C*15:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.09964,204
 342  A*01-B*40-C*15-DRB1*03-DQA1*05-DQB1*02  Spain, Castilla y Leon, Northwest, 0.09851,743
 343  A*01:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  Germany DKMS - Turkey minority 0.09804,856
 344  A*11:01-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.09715,829
 345  A*24:02-B*40:06-C*15:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.09654,204
 346  A*02:01:01-B*40:02:01-C*15:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 347  A*02:11:01-B*40:06:01-C*15:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 348  A*31:01:02-B*40:02:01-C*15:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 349  A*11:01-B*40:06-C*15:02-DRB1*07:01-DQB1*03:03  India Central UCBB 0.09414,204
 350  A*02:06-B*40:02-C*15:02-DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 351  A*24:02-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.09225,849
 352  A*11:01-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.091011,446
 353  A*33:03-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.09055,829
 354  A*31:01-B*40:02-C*15:03  Italy pop 5 0.0900975
 355  A*33:03-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.089711,446
 356  A*01:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.08901,772
 357  A*01:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.08901,772
 358  A*02:01-B*40:01-C*15:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 359  A*02:06-B*40:02-C*15:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 360  A*11:01-B*40:02-C*15:02-DRB1*15:02-DQB1*05:03  USA Asian pop 2 0.08901,772
 361  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  USA Asian pop 2 0.08901,772
 362  A*11:01-B*40:06-C*15:02-DRB1*16:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 363  A*24:02-B*40:01-C*15:02-DRB1*08:03-DQB1*06:01  USA Asian pop 2 0.08901,772
 364  A*24:02-B*40:02-C*15:02-DRB1*15:02-DQB1*05:02  USA Asian pop 2 0.08901,772
 365  A*24:02-B*40:06-C*15:02-DRB1*08:03-DQB1*03:01  USA Asian pop 2 0.08901,772
 366  A*31:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.08901,772
 367  A*68:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.088011,446
 368  A*02:11-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.08775,849
 369  A*24:02:01-B*40:01:02-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.08691,734
 370  A*02:01:01-B*40:01:02-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.08651,734
 371  A*02:11-B*40:06-C*15:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.08654,204
 372  A*11:01-B*40:06-C*15:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.08642,403
 373  A*68:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.08582,403
 374  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.085611,446
 375  A*01:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.08444,204
 376  A*68:01:02-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.0840356
 377  A*68:01-B*40:06-C*15:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.08312,403
 378  A*02:01-B*40:01-C*15:02-DRB1*14:05  Japan pop 16 0.083018,604
 379  A*01:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India West UCBB 0.08225,829
 380  A*24:02-B*40:06-C*15:02-DRB1*14:04  Germany DKMS - Romania minority 0.08101,234
 381  A*02:11-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.08092,403
 382  A*24:02-B*40:06-C*15:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.08052,492
 383  A*11:01-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.07945,849
 384  A*02:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.07935,849
 385  A*02:01-B*40:02-C*15:02-DRB1*01:01  Germany DKMS - France minority 0.07901,406
 386  A*24:02-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.07892,492
 387  A*33:03-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.07885,829
 388  A*02:11-B*40:06-C*15:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.077811,446
 389  A*02:11-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India East UCBB 0.07752,403
 390  A*02:11-B*40:06-C*15:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.07662,403
 391  A*24:02-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.075511,446
 392  A*24:02:01-B*40:01:02-C*15:02:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.07511,734
 393  A*11:01-B*40:06-C*15:02-DRB1*04:05-DQB1*05:02  India Tamil Nadu 0.07512,492
 394  A*03:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.074711,446
 395  A*03:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.07474,204
 396  A*31:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.07395,829
 397  A*11:01-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.07362,492
 398  A*02:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.073511,446
 399  A*24:02-B*40:06-C*15:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.07332,403
 400  A*02:01-B*40:01-C*15:02-DRB1*15:01  Japan pop 16 0.073018,604

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 1,842) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 19  


   

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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