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 1,316) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*01-B*08-C*07-DRB1*03  Macedonia MBMDR - Macedonian Muslims 0.657976
 302  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Mexico City Metropolitan Area Rural 0.6579150
 303  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 304  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.6536153
 305  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 306  A*01-B*08-DRB1*14-DQB1*05  Mexico Mexico City Center 0.6494152
 307  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African 0.644828,557
 308  A*01-B*08-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.63941,173
 309  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 310  A*01-B*08-DRB1*15-DQB1*06  Mexico Mexico City East 0.625079
 311  A*01-B*08-DRB1*15-DQB1*06  Mexico Hidalgo Rural 0.617381
 312  A*01-B*08-DRB1*11-DQB1*03:01  Mexico Guanajuato Rural 0.6135162
 313  A*01-B*08-C*07-DRB1*03-DQB1*02-DPB1*03  Norway ethnic Norwegians 0.61004,510
 314  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Tabasco, Villahermosa 0.609882
 315  A*01-B*08-DRB1*15-DQB1*06  Mexico Tabasco, Villahermosa 0.609882
 316  A*01-B*08-DRB1*03  Germany pop 7 0.600013,386
 317  A*01-B*08-DRB1*13-DQB1*06  Mexico Jalisco Rural 0.5973585
 318  A*01-B*08-DRB1*03:01-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 319  A*01-B*08-DRB1*15-DQB1*06  Mexico Zacatecas, Zacatecas city 0.595284
 320  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 321  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:07:01-DQB1*02:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 322  A*01-B*08-DRB1*01-DQB1*05  Mexico Veracruz, Veracruz city 0.5814171
 323  A*01-B*08-DRB1*13-DQB1*03:01  Mexico Veracruz, Veracruz city 0.5814171
 324  A*01-B*08-DRB1*03:50  Chile Santiago 0.5798920
 325  A*01:01-B*08:01-DRB1*15:02  Israel Georgia Jews 0.57604,471
 326  A*01-B*08-DRB1*03:01-DQB1*02:01  Bolivia La Paz Aymaras 0.575087
 327  A*01-B*08-DRB1*03:01-DQB1*02  Mexico San Luis Potosi Rural 0.574787
 328  A*01-B*08-DRB1*03:01-DQB1*06  Mexico San Luis Potosi Rural 0.574787
 329  A*01-B*08-DRB1*07-DQB1*03:03  Mexico San Luis Potosi Rural 0.574787
 330  A*01-B*08-DRB1*13-DQB1*06  Mexico San Luis Potosi Rural 0.574787
 331  A*01:01-B*08:01-DRB1*08:01-DQB1*04:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 332  A*01:01-B*08:01-DRB1*14:06-DQB1*02:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 333  A*01-B*08-DRB1*15-DQB1*06  Mexico Tlaxcala, Tlaxcala city 0.5525181
 334  A*01:01-B*08:01-DRB1*04:03  Israel Tunisia Jews 0.54809,070
 335  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Sinaloa Rural 0.5464183
 336  A*01-B*08-DRB1*15-DQB1*06  Mexico Aguascalientes state 0.526395
 337  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 0.5208192
 338  A*01:01-B*08:01-DRB1*07:01-DQB1*03:12  Iran Tabriz Azeris 0.515597
 339  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Nayarit, Tepic 0.515597
 340  A*01-B*08-DRB1*10-DQB1*05  Mexico Nayarit, Tepic 0.515597
 341  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02:01  England North West 0.5000298
 342  A*01:01-B*08:01-C*18:01-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 343  A*01:01-B*08:01-C*07:01-DRB1*04:01  Germany DKMS - Netherlands minority 0.49001,374
 344  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.48783,456,066
 345  A*01:01-B*08:01-C*07:02-DRB1*11:04  Russia Bering Island Aleuts 0.4808104
 346  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*02:01  Tanzania Maasai 0.4792336
 347  A*01:01-B*08:01-C*07:04-DRB1*13:02-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.4792336
 348  A*01:01-B*08:01-DRB1*04:01  New Zealand Maori with Admixed History 0.4762105
 349  A*01:01-B*08:01-DRB1*07:01  New Zealand Maori with Admixed History 0.4762105
 350  A*01:01-B*08:01-DRB1*12:01  New Zealand Maori with Admixed History 0.4762105
 351  A*01:01-B*08:01-DRB1*13:01  New Zealand Maori with Admixed History 0.4762105
 352  A*01-B*08-DRB1*15-DQB1*06  Mexico Zacatecas, Fresnillo 0.4762103
 353  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Veracruz Rural 0.4621539
 354  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.45243,456,066
 355  A*01:01-B*08:01-C*07:01-DRB1*07:01  Germany DKMS - United Kingdom minority 0.45001,043
 356  A*01-B*08-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 357  A*01:01-B*08:01-C*07:01-DRB1*15:01  Germany DKMS - Austria minority 0.43901,698
 358  A*01:01-B*08:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 359  A*01:01-B*08:01-C*07:01-DRB1*15:01  Germany DKMS - Netherlands minority 0.43201,374
 360  A*01:01:01-B*08:01:01-C*06:02:01-DRB1*07:01:01-DQA1*05:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 361  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*01:04:02-DQB1*05:03:01-DPA1*01:03:01-DPB1*04:02:01  Russian Federation Vologda Region 0.4202119
 362  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 363  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*23:01:01  Russian Federation Vologda Region 0.4202119
 364  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 365  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01  Russian Federation Vologda Region 0.4202119
 366  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*11:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 367  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 368  A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 369  A*01:01:01-B*08:01:01-C*12:03:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*06:02:01-DPA1*01:04:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 370  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Chihuahua Chihuahua City 0.4202119
 371  A*01-B*08-DRB1*03:01-DQB1*02  Ecuador Coast Mixed Ancestry 0.4202238
 372  A*01-B*08-DRB1*13-DQB1*06  Mexico Chihuahua Chihuahua City 0.4202119
 373  A*01:01-B*08:01-C*07:01-DRB1*01:01  Germany DKMS - United Kingdom minority 0.41701,043
 374  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 375  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*10:01-DQB1*06:03  Russia Bashkortostan, Bashkirs 0.4167120
 376  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*13:01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 377  A*01:01:01:01-B*08:01:01-C*08:02:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Bashkirs 0.4167120
 378  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*01:01:01-DQB1*05:01:01:03  Russia Bashkortostan, Bashkirs 0.4167120
 379  A*01:01-B*08:01  USA Asian pop 2 0.41401,772
 380  A*01-B*08-DRB1*15-DQB1*06  Mexico Chiapas Rural 0.4132121
 381  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.41153,456,066
 382  A*01-B*08-DRB1*03:01-DQB1*02  Mexico Oaxaca Rural 0.4107485
 383  A*01:01-B*08:04-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 384  A*01-B*08-DRB1*07  Germany pop 7 0.400013,386
 385  A*01-B*08-DRB1*11  Italy Lombardy 0.4000674
 386  A*01-B*08-DRB1*15:01  USA NMDP Caucasian 0.40002,361,208
 387  A*01-B*08-C*07-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.39004,510
 388  A*01-B*08-C*12:03-DRB1*16-DQB1*05  Russia North Ossetian 0.3900127
 389  A*01-B*08-DRB1*04-DQB1*03:02  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 390  A*01-B*08-DRB1*14:02-DQB1*06  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 391  A*01:01-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.3800462
 392  A*01-B*08-DRB1*07-DQB1*03:03  Mexico Yucatan Rural 0.3731132
 393  A*01:01-B*08:01-C*07:01-DRB1*07:01  Germany DKMS - Portugal minority 0.36501,176
 394  A*01:01-B*08:01-C*07:01-DRB1*15:01  Germany DKMS - United Kingdom minority 0.35801,043
 395  A*01:01-B*08:01-C*07:01-DRB1*07:01  Germany DKMS - France minority 0.35501,406
 396  A*01-B*08-C*07-DRB1*03-DQB1*02-DPB1*02  Norway ethnic Norwegians 0.35004,510
 397  A*01:01-B*08:01-C*07:01-DRB1*11:04-DQB1*03:01  Mexico Mexico City Mestizo population 0.3497143
 398  A*01:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02  Mexico Mexico City Mestizo population 0.3497143
 399  A*01-B*08-DRB1*04-DQB1*03:02  Mexico Sonora, Ciudad Obregón 0.3497143
 400  A*01-B*08-DRB1*13-DQB1*06  Mexico Sonora, Ciudad Obregón 0.3497143

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 1,316) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  


   

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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