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 3,183) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 32  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*02:01-B*14:11-C*08:02-DRB1*04:07-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 302  A*24:02-B*15:01-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 303  A*24:02-B*35:68-C*03:04-DRB1*04:07-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 304  A*24:02-B*40:02-C*01:06-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 305  A*24:57-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 306  A*31:01-B*35:43-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 307  A*31:12-B*40:02-C*01:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 308  A*31:12-B*40:09-C*04:01-DRB1*14:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 309  A*68:01-B*35:68-C*03:02-DRB1*08:02-DQB1*04:02  Colombia North Wiwa El Encanto 0.961552
 310  A*02:01-B*35:01-C*16:02-DRB1*04:04-DQA1*03:03-DQB1*04:02  United Arab Emirates Abu Dhabi 0.960052
 311  DQA1*06:01-DQB1*04:02  China, Xinjiang Uyghur Autonomous Region Kazakh 0.960052
 312  A*34:01-B*15:35-C*07:02-DRB1*04:05-DRB4*01:01-DQB1*04:02  USA NMDP Filipino 0.944350,614
 313  A*24-B*52-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 314  A*31-B*40-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 315  A*68-B*15-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 316  A*68-B*15-DRB1*14:06-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 317  A*24-B*15-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.930069
 318  DRB1*03:02-DQB1*04:02  USA Hispanic pop 2 0.92801,999
 319  A*68:01:02-B*15:04-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 0.9100105
 320  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 321  A*02-B*15-DRB1*04:11-DQB1*04:02  Colombia Wayu from Guajira Peninsula 0.890048
 322  A*24:02-B*15:01-C*03:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*08:01-DQA1*01:02-DQB1*04:02  Portugal Azores Terceira Island 0.8772130
 323  A*68:03-B*35:43-C*01:02-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPB1*03:01  Nicaragua Managua 0.8658339
 324  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 325  A*02-B*39-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.860069
 326  B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 327  B*51:01-C*15:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.8600234
 328  A*24-B*51-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 0.858087
 329  A*23-B*44-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 330  A*24-B*35-DRB1*14:27-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 331  A*02:01-B*35:12-C*04:01-DRB1*08:02-DRBX*NNNN-DQB1*04:02  USA NMDP Mexican or Chicano 0.8120261,235
 332  A*30:01-B*42:01-C*17:01-DRB1*03:02-DQB1*04:02-DPB1*01:01  Tanzania Maasai 0.7987336
 333  DRB1*08:01-DQB1*04:02  USA Hispanic pop 2 0.78801,999
 334  A*02:01-B*39:01-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 335  A*03:01-B*51:01-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 336  A*31:01-B*15:08-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 337  A*33:01-B*39:01-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 338  A*68:01-B*40:09-DRB1*08:02-DQB1*04:02  Chile Mapuche 0.770066
 339  A*68:23-B*27:05-DRB1*11:01-DQB1*04:02  Chile Mapuche 0.770066
 340  A*34:01-B*13:01-C*12:03-DRB1*04:05-DQB1*04:02  USA NMDP Hawaiian or other Pacific Islander 0.767611,499
 341  DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 0.76131,064
 342  A*02:01-B*15:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 0.7576330
 343  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 344  A*24:02-B*35:01-C*04:01-DRB1*04:25-DQA1*03:03-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 345  A*31:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 346  A*68:03-B*39:05-C*07:02-DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Tixcacaltuyub Maya 0.746367
 347  A*01-B*35-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.720069
 348  A*31-B*15-DRB1*08:02-DQB1*04:02  Bolivia Quechua 0.720069
 349  A*31-B*35-DRB1*08:01-DQB1*04:02  Bolivia Quechua 0.720069
 350  A*68-B*15-DRB1*13:01-DQB1*04:02  Bolivia Quechua 0.720069
 351  A*30:04-B*14:01-C*08:02-DRB1*04:04-DRB4*01:01-DQB1*04:02  USA NMDP Korean 0.718777,584
 352  DQA1*06:01-DQB1*04:02  China, Xinjiang Uyghur Autonomous Region Han 0.710070
 353  A*03:01:01-B*58:02:01-C*06:02:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*105:01:01  South African Black 0.7040142
 354  DQA1*02:01-DQB1*04:02  China, Xinjiang Uyghur Autonomous Region Uyghur 0.700071
 355  A*02:01-B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 356  A*02:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 357  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 358  A*02:06-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 359  A*24:02-B*35:01-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 360  A*24:02-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 361  A*24:02-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 362  A*31:01-B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 363  A*68:01-B*15:15-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 364  B*15:30-C*01:02-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 365  B*40:11-C*03:04-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 366  B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 367  DRB1*08:01-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 368  DRB1*08:04-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 369  A*01:01:01-B*39:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 370  A*02:01:01-B*15:08:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 371  A*02:01:01-B*35:01:01-C*03:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 372  A*02:01:01-B*35:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 373  A*02:01:01-B*39:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 374  A*02:01:01-B*40:02:01-C*03:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 375  A*02:01:01-B*44:02:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 376  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 377  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 378  A*02:01:01-B*51:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 379  A*03:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 380  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
 381  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 382  A*24:02:01-B*39:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 383  A*24:02:01-B*39:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 384  A*24:02:01-B*40:02:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 385  A*31:01:02-B*39:06:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 386  A*31:01:02-B*40:02:01-C*03:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 387  A*68:01:01-B*39:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 388  A*68:01:01-B*39:02:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 389  A*68:01:01-B*48:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 390  A*68:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 391  A*68:03:01-B*15:08:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 392  A*68:03:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 393  A*68:03:01-B*48:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 394  A*68-B*39-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 0.692087
 395  DRB1*10:01-DQB1*04:02  Mexico Nahua/Aztec Santo Domingo Ocotitlan 0.684973
 396  A*24:02-B*27:05-C*02:02-DRB1*08:02-DQB1*04:02  USA NMDP Alaska Native or Aleut 0.67931,376
 397  A*26:01-B*51:02-C*15:02-DRB1*08:02-DQB1*04:02  India Northeast UCBB 0.6757296
 398  A*02:01-B*40:02-C*03:04-DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Puyanawa 0.6667150
 399  DRB1*08:13-DQB1*04:02-DMB*01:01  Ecuadorean Amerindians 0.666775
 400  DRB1*13:03-DQB1*04:02-DMB*01:01  Ecuadorean Amerindians 0.666775

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 3,183) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 32  


   

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