Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 4,646) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 47  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*11:01-B*55:02-DRB1*09:01  New Zealand Maori with Full Ancestry 1.100046
 302  A*23:01-B*58:01-DRB1*09:01:02  Portugal North 1.100046
 303  A*24:02-B*46:01-C*01:02-DRB1*09:01  Taiwan pop 2 1.1000364
 304  A*24:02-B*51:01-C*14:02-DRB1*09:01-DQB1*03:03-DPB1*02:01  Japan Central 1.1000371
 305  A*24:02-B*56:02-DRB1*09:01  New Zealand Maori with Full Ancestry 1.100046
 306  B*15:25-DRB1*09:01:02  Taiwan Bunun 1.1000101
 307  B*46:01-DRB1*09:01-DQB1*03:03  South Korea pop 3 1.1000485
 308  DRB1*09:01:02-DQA1*03:01-DQB1*03:03  Australia New South Wales Aborigine 1.1000177
 309  DRB1*09:01:02-DQA1*03-DQB1*04:02  Russia Siberia North East Kamchatka Koryak 1.100092
 310  DRB1*09:01-DQB1*02  Central African Republic Aka Pygmy 1.100093
 311  A*11:01-B*46:01-C*01:02-DRB1*09:01  Hong Kong Chinese BMDR 1.09807,595
 312  A*02-B*48-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 1.06561,173
 313  A*24:02-B*51:01-DRB1*09:01  China Jiangsu Province Han 1.0500334
 314  A*02-B*40-C*08-DRB1*09  Myanmar Rakhine 1.042048
 315  A*02-B*40-C*12-DRB1*09  Myanmar Rakhine 1.042048
 316  A*11-B*18-C*15-DRB1*09  Myanmar Rakhine 1.042048
 317  A*24-B*40-DRB1*09:01-DQB1*03:01  Colombia Wayu from Guajira Peninsula 1.040048
 318  A*24-B*35-DRB1*09-DQB1*03:03  Ecuador Mixed Ancestry 1.02301,173
 319  A*02-B*40-DRB1*09  China Shaanxi Province Han 1.000010,000
 320  A*03:01:01-B*07:02:01-DRB1*09:01:02  Portugal Center 1.000050
 321  A*11-B*15-DRB1*09  Philippines National Capital Region 1.000051
 322  A*11-B*40-DRB1*09  China Shaanxi Province Han 1.000010,000
 323  A*11-B*53-DRB1*09-DQB1*03:03  Mexico Baja California Rural 1.000050
 324  A*24:02-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03  South Korea pop 3 1.0000485
 325  A*24:02-B*40:06-C*08:01-DRB1*09:01-DQB1*03:03-DPB1*05:01  Japan Central 1.0000371
 326  A*24:02-B*40:06-DRB1*09:01  South Korea pop 3 1.0000485
 327  A*24-B*51-DRB1*09:01  South Korea pop 1 1.0000324
 328  A*31:01-B*48:01-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03  Brazil Puyanawa 1.0000150
 329  A*32:01-B*45:01-DRB1*09:01:02  Portugal Center 1.000050
 330  A*33:01-B*15:01:01-DRB1*09:01:02  Portugal South 1.000049
 331  A*34-B*13-DRB1*09  Philippines National Capital Region 1.000051
 332  B*27:04-DRB1*09:01:02  Taiwan Ami 1.000098
 333  B*40:01-DRB1*09:01:02  Philippines Ivatan 1.000050
 334  B*40:02-DRB1*09:01:02  Taiwan Siraya 1.000051
 335  B*46:01-C*01:02-DRB1*09:01  South Korea pop 3 1.0000485
 336  B*51:01-C*14:02-DRB1*09:01  South Korea pop 3 1.0000485
 337  DRB1*09:01:02-DPB1*05:01  Taiwan Bunun pop 2 1.000050
 338  DRB1*09:01:02-DPB1*05:01  Taiwan Tsou pop 2 1.000050
 339  DRB1*09:01:02-DQB1*03:01  Philippines 1.000034
 340  DRB1*09:01-DQA1*03-DQB1*03:03  Turkey pop 1 1.0000250
 341  DRB1*09:01-DQB1*02:01  Tunisia pop 2 1.0000111
 342  A*24-B*35-DRB1*09-DQB1*02  Mexico Oaxaca, Oaxaca city 0.9934151
 343  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*09:01:02  Costa Rica African -Caribbean (G) 0.9804102
 344  A*26:01-B*40:02-C*03:04-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.974724,582
 345  A*33-B*51-DRB1*09-DQB1*02  Mexico Sinaloa, Culiacán 0.9709103
 346  A*36:01-B*53:01-C*08:02-DRB1*09:01-DQB1*05:01  Colombia North Wiwa El Encanto 0.961552
 347  A*31:01:02-B*15:01-DRB1*09:01-DQB1*03:03  Peru Titikaka Lake Uros 0.9300105
 348  A*11:01-B*40:01-DRB1*09:01  Taiwan Tzu Chi Morrow Donor Registry 0.929046,682
 349  A*11-B*40-C*07-DRB1*09  Myanmar Shan 0.926054
 350  A*24-B*40-C*08-DRB1*09  Myanmar Shan 0.926054
 351  A*24-B*46-C*01-DRB1*09  Myanmar Shan 0.926054
 352  A*33-B*15-C*04-DRB1*09  Myanmar Shan 0.926054
 353  A*11-B*52-C*07-DRB1*09  Myanmar Kayah 0.909055
 354  A*24-B*35-C*04-DRB1*09  Myanmar Kayah 0.909055
 355  DRB1*09:01:02-DQB1*03:03-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.9070496
 356  A*02:01-B*35:01-DRB1*09:01-DQB1*05:03  Iran Yazd 0.892956
 357  A*02-B*40:01-DRB1*09-DQB1*02  Mexico Veracruz, Cordoba 0.892956
 358  A*03-B*18-DRB1*09-DQB1*03:03  Mexico Veracruz, Cordoba 0.892956
 359  A*11-B*08-DRB1*09-DQB1*02  Mexico Veracruz, Cordoba 0.892956
 360  A*11-B*35-DRB1*09-DQB1*03:03  Mexico Veracruz, Cordoba 0.892956
 361  A*29:02-B*46-DRB1*09-DQA1*03-DQB1*03:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 362  A*11:01-B*46:01-DRB1*09:01  Taiwan Tzu Chi Morrow Donor Registry 0.870046,682
 363  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.866443,540
 364  A*24:02-B*40:06-C*08:01-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Japanese 0.859024,582
 365  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*05:01  China Zhejiang Han pop 2 0.8436833
 366  A*68-B*49-DRB1*09-DQB1*03:03  Mexico Chihuahua Chihuahua City 0.8403119
 367  A*02:06:01-B*40:02:01-C*03:04:01-DRB1*09:01-DQB1*03:03  Russia Bashkortostan, Bashkirs 0.8333120
 368  A*31:01-B*15:08-DRB1*09:01  Israel Bukhara Jews 0.82002,317
 369  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
 370  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.8126833
 371  A*68-B*39-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 0.802087
 372  A*02-B*15-DRB1*09  China Shaanxi Province Han 0.800010,000
 373  A*02-B*40-DRB1*09:01  USA NMDP Asian and Pacific Islander 0.8000359,423
 374  A*24-B*40-DRB1*09  China Shaanxi Province Han 0.800010,000
 375  A*24-B*40-DRB1*09:01  USA NMDP Asian and Pacific Islander 0.8000359,423
 376  A*24-B*55-C*01-DRB1*09  Myanmar Kachin 0.794063
 377  DRB1*09:01-DQA1*03:02-DQB1*03:03  USA European American 0.79001,899
 378  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Vietnamese 0.783543,540
 379  A*26-B*08-DRB1*09-DQB1*02  Mexico Nayarit Rural 0.781264
 380  A*03-B*15-C*07-DRB1*09  Myanmar Mon 0.781064
 381  A*24-B*27-C*02-DRB1*09  Myanmar Mon 0.781064
 382  A*11:01-B*46:01-C*01:02-DRB1*09:01  Germany DKMS - China minority 0.76601,282
 383  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Filipino 0.759550,614
 384  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Chinese 0.752699,672
 385  A*02-B*51-DRB1*09-DQB1*03:03  Mexico Yucatan Rural 0.7463132
 386  A*31:01-B*15:01-C*04:01-DRB1*09:01-DQA1*03:03-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 387  A*26:01-B*40:02-C*03:04-DRB1*09:01  Japan pop 16 0.746018,604
 388  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.7353833
 389  DRB1*09:01:02-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.7320496
 390  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP Korean 0.725077,584
 391  A*02-B*57-DRB1*09:01-DQB1*03:03  Bolivia Quechua 0.720069
 392  A*24-B*15-DRB1*09:01-DQB1*03:02  Bolivia Quechua 0.720069
 393  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
 394  A*24:02-B*40:06-C*08:01-DRB1*09:01  Japan pop 16 0.709018,604
 395  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.70635,266
 396  A*02-B*51-DRB1*09:01-DQB1*03:03  Bolivia La Paz Aymaras 0.706087
 397  A*11:01-B*40:01-C*07:02-DRB1*09:01  Germany DKMS - China minority 0.70401,282
 398  B*46-DRB1*09  Russia South Ural Tatar 0.7000135
 399  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
 400  A*01-B*37-C*06-DRB1*09-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472

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 4,646) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 47  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional