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 3,173) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 32  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*01:01-B*40:06-C*15:02-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.1689296
 302  A*02:07-B*40:06-C*15:02-DRB1*12:02-DQB1*03:01  India Northeast UCBB 0.1689296
 303  A*02:11-B*40:06-C*12:02-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.1689296
 304  A*02:11-B*40:06-C*12:02-DRB1*15:02-DQB1*05:03  India Northeast UCBB 0.1689296
 305  A*02:11-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India Northeast UCBB 0.1689296
 306  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Northeast UCBB 0.1689296
 307  A*02:11-B*40:06-C*15:02-DRB1*15:06-DQB1*05:02  India Northeast UCBB 0.1689296
 308  A*11:01-B*40:06-C*01:02-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.1689296
 309  A*11:01-B*40:06-C*15:02-DRB1*04:01-DQB1*03:02  India Northeast UCBB 0.1689296
 310  A*24:02-B*40:06-C*04:01-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 311  A*24:02-B*40:06-C*12:02-DRB1*11:01-DQB1*03:01  India Northeast UCBB 0.1689296
 312  A*24:02-B*40:06-C*12:02-DRB1*16:02-DQB1*05:02  India Northeast UCBB 0.1689296
 313  A*24:02-B*40:06-C*15:02-DRB1*01:01-DQB1*06:01  India Northeast UCBB 0.1689296
 314  A*24:07-B*40:06-C*05:01-DRB1*07:01-DQB1*02:02  India Northeast UCBB 0.1689296
 315  A*24:17-B*40:06-C*12:02-DRB1*07:01-DQB1*02:02  India Northeast UCBB 0.1689296
 316  A*33:03-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Northeast UCBB 0.1689296
 317  A*33:03-B*40:06-C*15:02-DRB1*13:01-DQB1*03:02  India Northeast UCBB 0.1689296
 318  A*68:01-B*40:06-C*04:01-DRB1*15:01-DQB1*06:01  India Northeast UCBB 0.1689296
 319  A*68:01-B*40:06-C*15:02-DRB1*07:01-DQB1*03:03  India Northeast UCBB 0.1689296
 320  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.16814,204
 321  A*02:11-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.16722,492
 322  A*11:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.16474,204
 323  A*02:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.16402,492
 324  A*02:10-B*40:06-C*08:01-DRB1*04:05  Japan pop 16 0.162018,604
 325  A*11:01-B*40:06-C*15:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.16185,849
 326  A*02:11-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India North UCBB 0.16105,849
 327  A*11:01-B*40:06-DRB1*16:02  Israel Tunisia Jews 0.16109,070
 328  A*11:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.16094,204
 329  A*02:06-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 330  A*26:02-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.16003,078
 331  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Central UCBB 0.15834,204
 332  A*02:06-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.15701,772
 333  A*24:02-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.15485,829
 334  A*24:02-B*40:06-DRB1*09:01  Hong Kong Chinese cord blood registry 0.15413,892
 335  A*01:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.154011,446
 336  A*68:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India Central UCBB 0.15244,204
 337  A*68:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.15125,829
 338  A*02:06-B*40:06-C*08:01-DRB1*15:01  Germany DKMS - China minority 0.15101,282
 339  A*01:01-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.14925,849
 340  A*24:02-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.14901,772
 341  A*24:02-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.14832,492
 342  A*02:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.14685,829
 343  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQB1*05:01  India South UCBB 0.145811,446
 344  A*02:11-B*40:06-C*12:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.14335,829
 345  B*40:06-C*12:02  USA Asian pop 2 0.14201,772
 346  A*24:02-B*40:06-C*08:01-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.141743,540
 347  A*24:02-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.14145,849
 348  A*68:01-B*40:06-C*15:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.141311,446
 349  A*11:01-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.14101,772
 350  A*24:02-B*40:06-C*15:02-DRB1*09:01  Japan pop 16 0.141018,604
 351  A*24:02-B*40:06-C*14:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.14052,492
 352  A*01:01-B*40:06-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 353  A*01:01-B*40:06-C*15:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*01:01  Sri Lanka Colombo 0.1401714
 354  A*02:11-B*40:06-C*15:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.1401714
 355  A*02:11-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 356  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
 357  A*11:01-B*40:06-C*15:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Sri Lanka Colombo 0.1401714
 358  A*24:02-B*40:06-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.1401714
 359  A*24:02-B*40:06-C*12:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  Sri Lanka Colombo 0.1401714
 360  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
 361  A*24:02-B*40:06-C*14:02-DRB1*08:03-DQA1*06:01-DQB1*03:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 362  A*24:02-B*40:06-C*14:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*03:01  Sri Lanka Colombo 0.1401714
 363  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 364  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
 365  A*33:03-B*40:06-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.1401714
 366  A*68:01-B*40:06-C*15:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*13:01  Sri Lanka Colombo 0.1401714
 367  A*01:01:01-B*40:06:01-C*15:02:01-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 368  A*01:01:01-B*40:06:01-C*15:02:01-DRB1*07:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 369  A*02:01:01-B*40:06:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 370  A*02:01:01-B*40:06:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 371  A*02:01:01-B*40:06:01-C*03:02:01-DRB1*15:01:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 372  A*02:01:01-B*40:06:01-C*15:07-DRB1*03:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356
 373  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
 374  A*02:11:01-B*40:06:01-C*15:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 375  A*02:11:01-B*40:06:01-C*15:64-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 376  A*11:01:01-B*40:06:01-C*03:02:01-DRB1*13:02:01-DQB1*06:01:08  India Kerala Malayalam speaking 0.1400356
 377  A*11:01:01-B*40:06:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 378  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
 379  A*24:02:01-B*40:06:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 380  A*24:02:01-B*40:06:01-C*04:01:01-DRB1*07:01:01-DQB1*02:01:02  India Kerala Malayalam speaking 0.1400356
 381  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
 382  A*24:02:01-B*40:06:01-C*04:03:01-DRB1*15:02:02-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 383  A*24:02:01-B*40:06:01-C*06:02:01-DRB1*04:03:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 384  A*24:02:01-B*40:06:01-C*12:02:02-DRB1*12:02:01-DQB1*06:03:01  India Kerala Malayalam speaking 0.1400356
 385  A*24:02:01-B*40:06:01-C*12:02:02-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 386  A*24:02:01-B*40:06:01-C*12:02:02-DRB1*15:06:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 387  A*24:02:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 388  A*24:02:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:04  India Kerala Malayalam speaking 0.1400356
 389  A*24:02:01-B*40:06:01-C*15:02:01-DRB1*16:01:01-DQB1*05:02:01  India Kerala Malayalam speaking 0.1400356
 390  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
 391  A*24:03:01-B*40:06:01-C*06:02:01-DRB1*15:02:02-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 392  A*26:01:01-B*40:06:01-C*15:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 393  A*26:01:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 394  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
 395  A*29:01:01-B*40:06:01-C*15:02:01-DRB1*15:02:01-DQB1*05:03:01  India Kerala Malayalam speaking 0.1400356
 396  A*29:01:01-B*40:06:01-C*15:05:02-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 397  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
 398  A*32:01:01-B*40:06:01-C*03:02:02-DRB1*04:10:01-DQB1*06:09:01  India Kerala Malayalam speaking 0.1400356
 399  A*32:01:01-B*40:06:01-C*12:02:02-DRB1*15:01:01-DQB1*06:02:01  India Kerala Malayalam speaking 0.1400356
 400  A*32:01:01-B*40:06:01-C*15:02:01-DRB1*07:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.1400356

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 3,173) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 32  


   

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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