Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Displaying 301 to 400 (from 5,490) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 55  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*24:02-B*07:02-C*07:02  Italy pop 5 0.8500975
 302  A*02:01:01-B*07:02:01-C*03:04:01-DRB1*15:01  Costa Rica Amerindians (G) 0.8431125
 303  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 304  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01  Russian Federation Vologda Region 0.8403119
 305  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 306  A*02:01-B*07:02  USA African American pop 4 0.83602,411
 307  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01:03-DQB1*06:02:01  Russia Bashkortostan, Bashkirs 0.8333120
 308  A*30:01-B*07:02-DRB1*11:01-DQB1*03:01  Iran Saqqez-Baneh Kurds 0.833360
 309  A*32:01-B*07:02-DRB1*15:01-DQB1*06:02  Iran Saqqez-Baneh Kurds 0.833360
 310  A*66:01-B*07:02-DRB1*01:02  Israel Ethiopia Jews 0.82705,928
 311  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Black South or Central American 0.79974,889
 312  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.7812192
 313  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Diego 0.7810496
 314  A*01:01-B*07:02-C*07:08-DRB1*14:01-DQB1*03:04  Iran Gorgan 0.780064
 315  A*01:02-B*07:02-C*07:03-DRB1*15:01-DQB1*04:01  Iran Gorgan 0.780064
 316  A*11:01-B*07:02-C*08:01-DRB1*07:01-DQB1*02:01  Iran Gorgan 0.780064
 317  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 318  A*29:01-B*07:02-DRB1*10:01  Israel Georgia Jews 0.77204,471
 319  A*02:01-B*07:02-DRB1*01:01-DQB1*05:01  Chile Mapuche 0.770066
 320  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.768423,595
 321  A*24:02-B*07:02-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Tixcacaltuyub Maya 0.746367
 322  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.74301,159
 323  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:03  Italy pop 5 0.7400975
 324  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP European Caucasian 0.73111,242,890
 325  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:03  Nicaragua Mestizo (G) 0.7168155
 326  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.71531,510
 327  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.70501,999
 328  A*02:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Romania minority 0.70001,234
 329  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.7000215
 330  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.6993143
 331  A*03:02-B*07:02-DRB1*15:01  Israel USSR Jews 0.698045,681
 332  A*24:02-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - France minority 0.69801,406
 333  A*68:02-B*07:02  USA African American pop 4 0.69802,411
 334  A*03:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Greece minority 0.69601,894
 335  A*24:02:01-B*07:02:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 336  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  USA NMDP Hawaiian or other Pacific Islander 0.684011,499
 337  A*02:01-B*07:02-DRB1*15:01  Croatia pop 4 0.68004,000
 338  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*14:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 339  A*24:02-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Croatia minority 0.67102,057
 340  A*24:02-B*07:02-C*07:02-DRB1*15:01  Poland DKMS 0.669920,653
 341  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  Brazil Puyanawa 0.6667150
 342  A*11:01-B*07:02-C*07:01-DRB1*15:01-DQA1*05:05-DQB1*06:01  Brazil Puyanawa 0.6667150
 343  A*24:02-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Netherlands minority 0.65901,374
 344  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.6536153
 345  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 346  A*02:01-B*07:02-DRB1*15:01  Israel USSR Jews 0.649045,681
 347  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01  Nicaragua Mestizo (G) 0.6452155
 348  A*11:01:01-B*07:02:01-C*12:03:01-DRB1*15:01  Nicaragua Mestizo (G) 0.6452155
 349  A*68:02-B*07:02-C*15:05-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.6390336
 350  A*03:01-B*07:02-C*07:02-DRB1*07:01  Germany DKMS - United Kingdom minority 0.63601,043
 351  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP African American pop 2 0.6359416,581
 352  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 353  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Middle Eastern or North Coast of Africa 0.623470,890
 354  A*68:01:02-B*07:02:01-C*07:02:01-DRB1*14:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.6170221
 355  A*24:02-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.61301,698
 356  A*24:02-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Bosnia and Herzegovina minority 0.60801,028
 357  A*68:02-B*07:02-DRB1*15:01  Israel Ethiopia Jews 0.60305,928
 358  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  South Africa Worcester 0.6000159
 359  A*32:01-B*07:02-C*07:01-DRB1*04:01-DQA1*03:03-DQB1*03:02-DPB1*01:01  South Africa Worcester 0.6000159
 360  A*02:01-B*07:02-DRB1*15:01-DQB1*06:02  Mexico Veracruz Xalapa 0.595284
 361  A*02:02-B*07:02-DRB1*15:03-DQB1*06:02  Mexico Veracruz Xalapa 0.595284
 362  A*03:01-B*07:02-DRB1*15:01-DQB1*05:02  Mexico Veracruz Xalapa 0.595284
 363  A*23:01-B*07:02-DRB1*16:02-DQB1*03:01  Mexico Veracruz Xalapa 0.595284
 364  A*24:02-B*07:02-DRB1*01:03-DQB1*05:01  Mexico Veracruz Xalapa 0.595284
 365  A*29:01-B*07:02-DRB1*15:01-DQB1*06:03  Mexico Veracruz Xalapa 0.595284
 366  A*31:01-B*07:02-DRB1*13:01-DQB1*06:01  Mexico Veracruz Xalapa 0.595284
 367  A*68:01-B*07:02-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 368  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 369  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Parda 0.5882170
 370  A*02:01:01-B*07:02:01-C*05:01:01-DRB1*15:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 371  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*08:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 372  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 373  A*11:01:01-B*07:02:01-C*06:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 374  A*24:02:01-B*07:02:01-C*02:02:02-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 375  A*24:02:01-B*07:02:01-C*04:01:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 376  A*32:01:01-B*07:02:01-C*07:02:01-DRB1*04:08:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 377  A*74:01:01-B*07:02:01-C*07:02:01-DRB1*08:06-DQB1*06:02:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Rio de Janeiro Parda 0.5882170
 378  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP North American Amerindian 0.586035,791
 379  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Mexican or Chicano 0.5844261,235
 380  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 381  A*01:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Austria minority 0.58201,698
 382  A*24:02-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Italy pop 5 0.5800975
 383  B*07:02-DRB1*11:01  Italy pop 5 0.5800975
 384  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Hispanic South or Central American 0.5800146,714
 385  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.57904,856
 386  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.5750174
 387  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01  India Karnataka Kannada Speaking 0.5750174
 388  A*02:01-B*07:02-C*07:02-DRB1*15:01  Germany DKMS - Croatia minority 0.57202,057
 389  A*02:01-B*07:02-DRB1*04:04-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 390  A*02:01-B*07:02-DRB1*15:01-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 391  A*03:01-B*07:02-DRB1*04:04-DQB1*05:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 392  A*03:01-B*07:02-DRB1*04:07-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 393  A*11:01-B*07:02-DRB1*14:01-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 394  A*11:01-B*07:02-DRB1*14:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 395  A*26:01-B*07:02-DRB1*15:01-DQB1*06:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 396  A*31:01-B*07:02-DRB1*14:06-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 397  A*31:01-B*07:02-DRB1*16:02-DQB1*03:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 398  A*32:01-B*07:02-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 399  A*33:01-B*07:02-DRB1*04:03-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 400  A*36-B*07:02-DRB1*13:01-DQB1*06:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288

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 5,490) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 55  


   

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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