Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 301 to 400 (from 439) records   Pages: 1 2 3 4 5 of 5  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*24:02-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.03271,463
 302  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*01:01  Germany DKMS - German donors 0.03183,456,066
 303  A*24:02-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.03173,456,066
 304  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03133,456,066
 305  A*26:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.03075,829
 306  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.030123,595
 307  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.02953,456,066
 308  A*24:02-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02904,856
 309  A*24:07-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Croatia minority 0.02902,057
 310  A*02:06:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 311  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.028623,595
 312  A*02:06-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.02855,829
 313  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02855,266
 314  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.028323,595
 315  A*26:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.02793,456,066
 316  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.02771,510
 317  A*26:01-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.027320,653
 318  A*25:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.02723,456,066
 319  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 0.027043,540
 320  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.026823,595
 321  A*24:02-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.02683,456,066
 322  A*33:03-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.02635,849
 323  A*02:05-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.02601,894
 324  A*02:11-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.02601,894
 325  A*31:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.02601,894
 326  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.02553,456,066
 327  A*31:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02504,856
 328  A*32:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Croatia minority 0.02502,057
 329  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.024611,446
 330  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.024599,672
 331  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 0.024324,582
 332  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*05:01  Germany DKMS - German donors 0.02363,456,066
 333  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*10:01  Germany DKMS - German donors 0.02353,456,066
 334  A*31:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.02333,456,066
 335  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*09:01  Germany DKMS - German donors 0.02313,456,066
 336  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.023023,595
 337  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.022923,595
 338  A*68:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.022811,446
 339  A*24:02-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02232,492
 340  A*26:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.02235,849
 341  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.02165,829
 342  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.021423,595
 343  A*02:06-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India East UCBB 0.02082,403
 344  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*09:01  Germany DKMS - German donors 0.02013,456,066
 345  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.02012,492
 346  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 347  A*11:01-B*35:01-C*04:01-DRB1*01:01  Hong Kong Chinese BMDR 0.01987,595
 348  A*24:07-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.01965,849
 349  A*02:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.019411,446
 350  A*31:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.019311,446
 351  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.018223,595
 352  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*06:01  Germany DKMS - German donors 0.01763,456,066
 353  A*31:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.01755,849
 354  A*33:03-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.01745,829
 355  A*32:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.01725,829
 356  A*29:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.01695,829
 357  A*32:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01673,456,066
 358  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.016623,595
 359  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.016323,595
 360  A*32:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.016111,446
 361  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.015523,595
 362  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*14:01  Germany DKMS - German donors 0.01433,456,066
 363  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.014377,584
 364  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01405,266
 365  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.013923,595
 366  A*68:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.01385,829
 367  A*32:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.01375,849
 368  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.013423,595
 369  A*24:02-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.01324,204
 370  A*32:01-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.013220,653
 371  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.011923,595
 372  A*24:07-B*35:01-C*04:01-DRB1*01:01-DQB1*05:03  India Central UCBB 0.01194,204
 373  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*01:01  Germany DKMS - German donors 0.01163,456,066
 374  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.011623,595
 375  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.011523,595
 376  A*24:02-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.01143,456,066
 377  A*68:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01093,456,066
 378  A*68:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.01073,456,066
 379  A*02:11-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.01035,849
 380  A*03:02-B*35:01-C*04:01-DRB1*01:01-DQB1*05:04  Germany DKMS - Turkey minority 0.01004,856
 381  A*30:01-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.009420,653
 382  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*04:02:01  Poland BMR 0.009323,595
 383  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:02:01  Poland BMR 0.009323,595
 384  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.008723,595
 385  A*01:104-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.00865,829
 386  A*02:05-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.00855,849
 387  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*04:02:01  Poland BMR 0.008523,595
 388  A*29:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.008423,595
 389  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.008123,595
 390  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:04:01  Poland BMR 0.008023,595
 391  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.007923,595
 392  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.006723,595
 393  A*02:01-B*35:01-C*04:01-DRB1*01:01  Hong Kong Chinese BMDR 0.00667,595
 394  A*30:01-B*35:01-C*04:01-DRB1*01:01  Hong Kong Chinese BMDR 0.00667,595
 395  A*29:02-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 0.006520,653
 396  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.006023,595
 397  A*30:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.005723,595
 398  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00565,266
 399  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 0.005543,540
 400  A*31:01-B*35:01-C*04:01-DRB1*01:01  Japan pop 16 0.005018,604

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 439) records   Pages: 1 2 3 4 5 of 5  


   

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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