Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 301 to 369 (from 369) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.014423,595
 302  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.005723,595
 303  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*06:04:01  Poland BMR 0.002123,595
 304  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*06:09:01  Poland BMR 0.002123,595
 305  A*32:01:01-B*40:02:01-C*02:02:02-DRB1*11:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 306  A*32:01:01-B*40:02:01-C*03:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000112723,595
 307  A*32:01-B*40:02-C*01:02-DRB1*11:01  Poland DKMS 0.002520,653
 308  A*32:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Austria minority 0.03901,698
 309  A*32:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Croatia minority 0.02702,057
 310  A*32:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Spain minority 0.09001,107
 311  A*32:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 312  A*32:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Romania minority 0.18101,234
 313  A*32:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Portugal minority 0.08501,176
 314  A*32:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - France minority 0.10201,406
 315  A*32:01-B*40:02-C*02:02-DRB1*11:01  Germany DKMS - Netherlands minority 0.29101,374
 316  A*32:01-B*40:02-C*02:02-DRB1*11:01  Japan pop 16 0.005018,604
 317  A*32:01-B*40:02-C*02:02-DRB1*11:01  Poland DKMS 0.219920,653
 318  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Italy minority 0.05301,159
 319  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03904,856
 320  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.04304,204
 321  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00725,849
 322  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  India West UCBB 0.00865,829
 323  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 324  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.01363,456,066
 325  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.06773,456,066
 326  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.10931,075
 327  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.05493,456,066
 328  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.11661,075
 329  A*32:01-B*40:02-C*02:02-DRB1*11:01-DQB1*06:02  USA African American pop 4 0.01102,411
 330  A*32:01-B*40:02-C*02:16-DRB1*11:01  Poland DKMS 0.002420,653
 331  A*32:01-B*40:02-DRB1*11:01  Israel Poland Jews 0.003613,871
 332  A*32:01-B*40:02-DRB1*11:01  Israel USSR Jews 0.017145,681
 333  A*32:01-B*40:02-DRB1*11:01  Israel Arab pop 2 0.027412,301
 334  A*32:01-B*40:02-DRB1*11:01  Israel Ethiopia Jews 0.00845,928
 335  A*32:01-B*40:02-DRB1*11:01  Israel Druze 0.01805,914
 336  A*32:05-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  India North UCBB 0.00955,849
 337  A*33:01:01-B*40:02:01-C*08:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 338  A*33:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01  USA African American pop 4 0.01102,411
 339  A*33:03:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 340  A*33:03-B*40:02-C*12:03-DRB1*11:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 341  A*33:03-B*40:02-DRB1*11:01  Hong Kong Chinese cord blood registry 0.00713,892
 342  A*34:01-B*40:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Panama 0.1900462
 343  A*66:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 344  A*66:01-B*40:02-C*02:02-DRB1*11:01  Poland DKMS 0.004820,653
 345  A*68:01:01-B*40:02:01-C*01:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 346  A*68:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.000184723,595
 347  A*68:01:01-B*40:02:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 348  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQA1*03:02-DQB1*03:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 349  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.034423,595
 350  A*68:01:02-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 351  A*68:01-B*40:02-C*02:02-DRB1*11:01  Poland DKMS 0.030820,653
 352  A*68:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01153,456,066
 353  A*68:01-B*40:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.08671,075
 354  A*68:01-B*40:02-C*03:04-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*04:01  USA San Diego 0.2600496
 355  A*68:01-B*40:02-C*04:01-DRB1*11:01  Poland DKMS 0.002420,653
 356  A*68:02:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 357  A*68:02-B*40:02-DRB1*11:01  Israel Argentina Jews 0.01164,307
 358  A*68:02-B*40:02-DRB1*11:01  Israel USSR Jews 0.002345,681
 359  A*80:01-B*40:02-C*04:01-DRB1*11:01-DQB1*03:01  USA Hispanic pop 2 0.04701,999
 360  A*80:01-B*40:02-C*04:01-DRB1*11:01-DQB1*03:01  USA NMDP Caribean Indian 0.149114,339
 361  B*40:02-DRB1*11:01  Italy pop 5 0.3400975
 362  B*40:02-DRB1*11:01  USA Alaska Yupik 1.2000252
 363  B*40:02-DRB1*11:01:01  Philippines Ivatan 1.000050
 364  B*40:02-DRB1*11:01:01  Taiwan Minnan pop 1 1.5000102
 365  B*40:02-DRB1*11:01:01  Taiwan Rukai 9.900050
 366  B*40:02-DRB1*11:01:01  Taiwan Paiwan 4.900051
 367  B*40:02-DRB1*11:01:01  Taiwan Ami 1.500098
 368  B*40:02-DRB1*11:01:01  Taiwan Puyuma 4.000050
 369  B*40:02-DRB1*11:01:01  Taiwan Siraya 2.900051

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 369 (from 369) records   Pages: 1 2 3 4 of 4  


   

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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