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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 301 to 400 (from 4,764) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 48  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  DRB1*15:02-DQA1*01:03-DQB1*06:01  USA European American 0.66001,899
 302  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 303  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.6536153
 304  A*11:01-B*35:03-C*04:01-DRB1*14:04-DQB1*06:01  India North UCBB 0.64745,849
 305  A*02:11-B*40:06-C*15:02-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Southeast Asian 0.631827,978
 306  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Southeast Asian 0.606327,978
 307  DRB1*15:01:01:01-DQB1*06:01  China Inner Mongolia Autonomous Region Northeast 0.6040496
 308  A*02:11-B*14:02-C*08:02-DRB1*01:02-DQA1*01:03-DQB1*06:01-DPB1*13:01  South Africa Worcester 0.6000159
 309  A*24:02-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.59962,492
 310  DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.5993833
 311  A*11:01-B*35:01-C*04:01-DRB1*15:02-DQB1*06:01  India East UCBB 0.59882,403
 312  A*02:01-B*52:01-DRB1*15:01-DQB1*06:01  Mexico Veracruz Xalapa 0.595284
 313  A*11:01-B*52:01-DRB1*15:02-DQB1*06:01  Mexico Veracruz Xalapa 0.595284
 314  A*31:01-B*07:02-DRB1*13:01-DQB1*06:01  Mexico Veracruz Xalapa 0.595284
 315  A*31:01-B*35:02-DRB1*15:01-DQB1*06:01  Mexico Veracruz Xalapa 0.595284
 316  A*66:01-B*58:01-DRB1*15:01-DQB1*06:01  Mexico Veracruz Xalapa 0.595284
 317  A*68:01-B*51:02-DRB1*15:02-DQB1*06:01  Mexico Veracruz Xalapa 0.595284
 318  DQB1*06:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.5930496
 319  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DQB1*06:01:01  China Zhejiang Han 0.58861,734
 320  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*11:01:01-DQB1*06:01:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 321  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*15:02:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 322  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Middle Eastern or North Coast of Africa 0.583770,890
 323  A*11:01-B*15:32-C*12:03-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.5822296
 324  A*02:11:01-B*35:03:01-C*12:03:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 325  A*02:11:01-B*40:06:01-C*15:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 326  A*03:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 327  A*11:01:01-B*52:01:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 328  A*24:02:01-B*40:06:01-C*01:02:01-DRB1*13:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 329  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*15:02:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5750174
 330  A*01:01-B*15:17-DRB1*15:01-DQB1*06:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 331  A*11:01-B*35:01-DRB1*15:01-DQB1*06:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 332  A*29:01-B*44:02-DRB1*15:01-DQB1*06:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 333  A*36-B*07:02-DRB1*13:01-DQB1*06:01  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 334  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Middle Eastern or North Coast of Africa 0.567370,890
 335  A*11:01:01-B*40:06:01-C*15:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.5620356
 336  A*02:11-B*40:06-C*15:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.5602714
 337  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Germany DKMS - Turkey minority 0.55804,856
 338  DQB1*06:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.5580496
 339  A*02:11-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.5535271
 340  A*11:01-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.5535271
 341  A*24:02-B*07:05-C*07:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Indian 0.5535271
 342  DRB1*15:02-DQB1*06:01  Italy pop 5 0.5500975
 343  A*02:06-B*39:01-C*07:02-DRB1*08:03-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.543611,499
 344  A*01:01:01-B*13:01:01-C*04:03:01-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 345  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*15:02:01-DQB1*06:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 346  A*31:01:02:01-B*52:01:01:02-C*12:02:02-DRB1*15:02-DQB1*06:01  Russia Bashkortostan, Tatars 0.5208192
 347  A*01:01-B*58:01-DRB1*15:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 348  A*03:01-B*50:01-DRB1*11:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 349  A*11:01-B*18:01-DRB1*15:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 350  A*24:02-B*51:02-C*07:02-DRB1*08:03-DQB1*06:01  Malaysia Peninsular Chinese 0.5155194
 351  A*24:03-B*40:01-DRB1*15:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 352  A*30:01-B*35:01-DRB1*15:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 353  A*30:01-B*38:01-DRB1*15:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 354  A*32:01-B*52:01-DRB1*15:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 355  A*32:01-B*57:01-DRB1*07:01-DQB1*06:01  Iran Tabriz Azeris 0.515597
 356  A*11:01-B*35:03-C*04:01-DRB1*15:02-DQB1*06:01  India Northeast UCBB 0.5068296
 357  A*11:01:01-B*07:05:01-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.5060174
 358  A*02:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India South UCBB 0.504211,446
 359  DRB1*08:03:02-DQB1*06:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.5040496
 360  A*11:01-B*13:01-C*03:04-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Southeast Asian 0.500527,978
 361  A*02:01:01-B*55:02:01-C*04:03:01-DRB1*15:01:01-DQB1*06:01:01  Vietnam Kinh 0.4950101
 362  A*02:03:01-B*40:01:02-C*03:17-DRB1*09:01:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 363  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*08:12-DQB1*06:01:01  Vietnam Kinh 0.4950101
 364  A*11:01:01-B*40:01:02-C*03:03:01-DRB1*15:01:01-DQB1*06:01:01  Vietnam Kinh 0.4950101
 365  A*11:02:01-B*40:01:02-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 366  A*11:02:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DQB1*06:01:01  Vietnam Kinh 0.4950101
 367  A*24:02:01-B*40:06:01-C*03:04:01-DRB1*08:03:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 368  A*24:02:13-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 369  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 370  A*02:11-B*35:03-C*04:01-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.49112,492
 371  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*04:01  Sri Lanka Colombo 0.4902714
 372  A*11:01-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.48725,829
 373  DQB1*06:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.4800496
 374  A*01:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQB1*06:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 375  A*11:01-B*35:03-C*04:01-DRB1*14:04-DQB1*06:01  India East UCBB 0.45462,403
 376  A*34:01-B*56:01-C*01:02-DRB1*15:02-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.450811,499
 377  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.45031,734
 378  A*01-B*40-DRB1*15-DQA1*01:03-DQB1*06:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 379  A*02-B*46-DRB1*08-DQA1*01:03-DQB1*06:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 380  A*11-B*52-DRB1*15-DQA1*01:03-DQB1*06:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 381  A*11-B*57-DRB1*15-DQA1*01:03-DQB1*06:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 382  A*24-B*57-DRB1*15-DQA1*01:03-DQB1*06:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 383  A*31-B*52-DRB1*15-DQA1*01:03-DQB1*06:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 384  A*01:01-B*52:01-C*04:01-E*01:03:01-F*01:03:01-G*01:01-DRB1*15:02-DQA1*01:03-DQB1*06:01  Portugal Azores Terceira Island 0.4386130
 385  A*11:01-B*35:03-C*04:01-DRB1*14:04-DQB1*06:01  India Central UCBB 0.43864,204
 386  A*11:01-B*13:01-C*04:03-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.43532,492
 387  DRB1*15:02:01-DQB1*06:01-DPB1*05:01:01  China Inner Mongolia Autonomous Region Northeast 0.4350496
 388  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*02:01  Nicaragua Managua 0.4329339
 389  A*34:01-B*15:21-C*04:03-DRB1*08:03-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.432911,499
 390  B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  Mexico Mexico City Mestizo pop 2 0.4300234
 391  A*24:02-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.42992,403
 392  A*11:01-B*13:01-C*03:04-DRB1*15:01-DQB1*06:01  USA Asian pop 2 0.42501,772
 393  A*33:03:01-B*58:01:01-C*03:02:01-DRB1*15:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.4210356
 394  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:01-DQA1*01:05:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 395  A*02:01:01-B*52:01:01-C*12:03:01-DRB1*11:03:01-DQA1*05:05:01-DQB1*06:01-DPA1*02:01:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 396  A*03:01:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DQA1*01:03:01-DQB1*06:01:01-DPA1*02:02:02-DPB1*02:02  Russian Federation Vologda Region 0.4202119
 397  A*11:01:01-B*35:03:01-C*01:02:01-DRB1*04:08:01-DQA1*03:03:01-DQB1*06:01:01-DPA1*01:04:01-DPB1*15:01:01  Russian Federation Vologda Region 0.4202119
 398  A*11:01-B*52:01:01-C*12:02:02-DRB1*15:02-DQA1*01:03:01-DQB1*06:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 399  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*15:02:01-DQA1*05:05:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 400  A*32:01:01-B*52:01:01-C*12:02:02-DRB1*15:02:02-DQA1*01:03:01-DQB1*06:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119

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 4,764) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 48  


   

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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