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 4,347) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 44  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  DRB1*09:01-DQA1*03-DQB1*03:03  Turkey pop 1 1.0000250
 302  A*26:01-B*40:02-C*03:04-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.974724,582
 303  A*01-B*08-DRB1*07-DQB1*03:03  Mexico Sinaloa, Culiacán 0.9709103
 304  A*02-B*50-DRB1*07-DQB1*03:03  Mexico Mexico City South 0.961552
 305  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Italy pop 5 0.9600975
 306  A*03:01-B*44:05-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*03:03  United Arab Emirates Abu Dhabi 0.960052
 307  A*30:02-B*57:01-C*06:02-DRB1*03:01-DQA1*05:01-DQB1*03:03  United Arab Emirates Abu Dhabi 0.960052
 308  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Chiapas, Tuxtla Gutierrez 0.943452
 309  A*31:01:02-B*15:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.9300105
 310  A*33-B*14:02-DRB1*07-DQB1*03:03  Mexico Coahuila Rural 0.9174216
 311  DRB1*13:01-DQB1*03:03  USA African American pop 4 0.91102,411
 312  DRB1*09:01:02-DQB1*03:03-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.9070496
 313  A*01:01-B*57:01-DRB1*07:01-DQB1*03:03  Iran Yazd 0.892956
 314  A*02-B*39-DRB1*16-DQB1*03:03  Mexico Veracruz, Cordoba 0.892956
 315  A*03:01-B*51:01-DRB1*15:01-DQB1*03:03  Iran Yazd 0.892956
 316  A*03-B*18-DRB1*09-DQB1*03:03  Mexico Veracruz, Cordoba 0.892956
 317  A*11-B*35-DRB1*09-DQB1*03:03  Mexico Veracruz, Cordoba 0.892956
 318  A*24:02-B*15:17-DRB1*03:01-DQB1*03:03  Iran Yazd 0.892956
 319  A*24:02-B*67:01-DRB1*07:01-DQB1*03:03  Iran Yazd 0.892956
 320  A*32:01-B*39:01-DRB1*01:01-DQB1*03:03  Iran Yazd 0.892956
 321  A*32:01-B*50:01-DRB1*07:01-DQB1*03:03  Iran Yazd 0.892956
 322  A*24-B*57-DRB1*07-DQA1*02-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 323  A*29:02-B*46-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 324  A*02:01-B*57:01-C*06:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*03:03:02  Portugal Azores Terceira Island 0.8772130
 325  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.866443,540
 326  A*24:02-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.86432,492
 327  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  Mexico Mexico City Mestizo pop 2 0.8600234
 328  B*58:02-C*06:02-DRB1*13:01-DQB1*03:03  Mexico Mexico City Mestizo pop 2 0.8600234
 329  DRB1*13:01-DQB1*03:03  Mexico Mexico City Mestizo pop 2 0.8600234
 330  A*24:02-B*40:06-C*08:01-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.859024,582
 331  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  China Zhejiang Han pop 2 0.8436833
 332  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 333  A*68-B*49-DRB1*09-DQB1*03:03  Mexico Chihuahua Chihuahua City 0.8403119
 334  A*02:06:01-B*40:02:01-C*03:04:01-DRB1*09:01-DQB1*03:03  Russia Bashkortostan, Bashkirs 0.8333120
 335  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP European Caucasian 0.82801,242,890
 336  A*11:01:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.81601,734
 337  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.8126833
 338  DRB1*07:01-DQB1*03:03  Cretan Islanders 0.8065124
 339  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.804843,540
 340  A*68-B*39-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 0.802087
 341  A*02:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.795623,595
 342  A*30-B*57-DRB1*07-DQB1*03:03  Mexico Tamaulipas Rural 0.7937125
 343  DRB1*09:01-DQA1*03:02-DQB1*03:03  USA European American 0.79001,899
 344  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.78801,159
 345  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.783543,540
 346  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP North American Amerindian 0.782335,791
 347  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Nayarit Rural 0.781264
 348  A*68-B*15:03-DRB1*13-DQB1*03:03  Mexico Nayarit Rural 0.781264
 349  A*02:61-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  Iran Gorgan 0.780064
 350  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.7703714
 351  A*01:01-B*57:01-DRB1*07:01-DQB1*03:03  Chile Mapuche 0.770066
 352  A*01:01-B*57:03-DRB1*07:01-DQB1*03:03  Chile Mapuche 0.770066
 353  A*02:01-B*14:02-DRB1*07:01-DQB1*03:03  Chile Mapuche 0.770066
 354  A*03:01-B*35:01-DRB1*14:02-DQB1*03:03  Chile Mapuche 0.770066
 355  A*31:01-B*39:09-DRB1*07:01-DQB1*03:03  Chile Mapuche 0.770066
 356  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Filipino 0.759550,614
 357  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.75501,772
 358  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.752699,672
 359  A*02-B*51-DRB1*09-DQB1*03:03  Mexico Yucatan Rural 0.7463132
 360  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.7353833
 361  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.731523,595
 362  DRB1*07:01:01:01-DQB1*03:03-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.7290496
 363  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.725077,584
 364  A*02-B*39-DRB1*13:01-DQB1*03:03  Bolivia Quechua 0.720069
 365  A*02-B*57-DRB1*09:01-DQB1*03:03  Bolivia Quechua 0.720069
 366  A*02:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Russia Karelia 0.71981,075
 367  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Southeast Asian 0.711427,978
 368  DQA1*01:03-DQB1*03:03  China, Xinjiang Uyghur Autonomous Region Han 0.710070
 369  A*02-B*51-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 0.706087
 370  A*01:01:01:01-B*57:01:01-C*06:02:01:01-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.70431,510
 371  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*09:01  Sri Lanka Colombo 0.7003714
 372  A*33-B*18-DRB1*07-DQB1*03:03  Mexico Sonora, Ciudad Obregón 0.6993143
 373  DRB1*07:01-DQB1*03:03  Mexico Mexico City Mestizo population 0.6993143
 374  A*24:02:01-B*40:06:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.69911,734
 375  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Guerrero state 0.6944144
 376  A*29:01:01-B*78:01:01-C*16:01:01-DRB1*07:01:01-DQB1*03:03:03  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 377  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Coahuila Rural 0.6881216
 378  A*02-B*44-DRB1*09-DQB1*03:03  Mexico Coahuila Rural 0.6881216
 379  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.681124,582
 380  DRB1*12:01-DQB1*03:03  USA Asian pop 2 0.66801,772
 381  DRB1*01:01-DQB1*03:03-DMB*01:01  Ecuadorean Amerindians 0.666775
 382  DRB1*04:01-DQB1*03:03-DMB*01:01  Ecuadorean Amerindians 0.666775
 383  DRB1*07:07-DQB1*03:03-DMB*01:01  Ecuadorean Amerindians 0.666775
 384  A*02-B*51-DRB1*13-DQB1*03:03  Mexico Nuevo Leon, Monterrey city 0.6637226
 385  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Michoacan, Morelia 0.6623150
 386  A*02-B*48-DRB1*09-DQB1*03:03  Mexico Durango, Durango city 0.6452153
 387  A*01:01:01-B*41:01-C*17:01:01-DRB1*07:01:01-DQB1*03:03:02-DPB1*04:02:01  Saudi Arabia pop 6 (G) 0.643328,927
 388  A*01-B*57-DRB1*07-DQB1*03:03  Mexico Guanajuato, Leon 0.641078
 389  A*02-B*39-DRB1*16-DQB1*03:03  Mexico Guanajuato, Leon 0.641078
 390  A*25-B*58-DRB1*07-DQB1*03:03  Mexico Guanajuato, Leon 0.641078
 391  B*57:01-C*07:01-DRB1*07:01-DQB1*03:03  Mexico Mexico City Mestizo pop 2 0.6400234
 392  A*24:02-B*46:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.63501,772
 393  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*26:01  Sri Lanka Colombo 0.6303714
 394  A*11:01:01-B*40:02:01-C*02:02:02-DRB1*09:01:02-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 395  A*68-B*39-DRB1*04-DQB1*03:03  Mexico Mexico City East 0.625079
 396  DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*14:01  Hong Kong Chinese HKBMDR. DQ and DP 0.62081,064
 397  A*68-B*49-DRB1*07-DQB1*03:03  Mexico Hidalgo Rural 0.617381
 398  A*31-B*40:02-DRB1*14-DQB1*03:03  Mexico Guanajuato Rural 0.6135162
 399  A*02-B*57-DRB1*07-DQB1*03:03  Mexico Morelos, Cuernavaca 0.609882
 400  A*68-B*15:02-DRB1*14-DQB1*03:03  Mexico Tabasco, Villahermosa 0.609882

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 4,347) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 44  


   

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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