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 2,063) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*24-B*39-C*07-DRB1*15-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 2.083372
 302  B*35-C*04-DRB1*15-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 2.083372
 303  B*39-C*07-DRB1*15-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 2.083372
 304  DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 2.04441,064
 305  A*02:01-B*40:02-C*02:02-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Puyanawa 2.0000150
 306  A*02-B*07-DRB1*15:01-DQA1*01:02-DQB1*06:02  Russia Tuva 2.0000190
 307  A*29:01-B*15:03-C*02:02-DRB1*13:02-DQA1*01:02-DQB1*06:04  Brazil Puyanawa 2.0000150
 308  DQA1*01:02-DQB1*06:02  Israel Yemenite Jews 2.000076
 309  DQA1*01:02-DQB1*06:04  Israel Yemenite Jews 2.000076
 310  DRB1*13:01-DQA1*01:03-DQB1*06:03  Cameroon Yaounde 2.000092
 311  DRB1*13:01-DQA1*01:03-DQB1*06:03  England pop 6 2.0000177
 312  DRB1*13:01-DQA1*01:03-DQB1*06:03  Tunisia 2.0000100
 313  DRB1*13:01-DQA1*01:03-DQB1*06:03/06:14  Russia Siberia Khabarovsk Evenki 2.000025
 314  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  South Korea pop 11 2.0000149
 315  DRB1*15:01-DQA1*01:02-DQB1*06:01  India Northeast Kayastha 2.0000190
 316  DRB1*15:01-DQA1*01:02-DQB1*06:01  India Northeast Vaish 2.0000198
 317  DRB1*15:01-DQA1*01:02-DQB1*06:02  Tunisia 2.0000100
 318  DRB1*15:01-DQA1*01:03-DQB1*06:01  India Northeast Rajbanshi 2.000098
 319  DRB1*15:01-DQA1*01:03-DQB1*06:01  India Northeast Rastogi 2.0000196
 320  DRB1*15:02-DQA1*01:03-DQB1*06:01  India Northeast Rastogi 2.0000196
 321  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01  South Korea pop 1 2.0000324
 322  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 1.9747833
 323  A*02:01-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04  United Arab Emirates Abu Dhabi 1.920052
 324  A*02:05-B*50:01-C*06:02-DRB1*15:01-DQA1*01:02-DQB1*06:02  United Arab Emirates Abu Dhabi 1.920052
 325  A*03:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01  United Arab Emirates Abu Dhabi 1.920052
 326  A*02-B*07-DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02  Spain Murcia 1.9000173
 327  A*02-B*44-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.900080
 328  A*26-B*38-DRB1*13:01-DRB3*02:02-DQA1*01:03-DQB1*06:03  Spain Murcia 1.9000173
 329  A*26-B*38-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.900080
 330  DRB1*01-DQA1*01:01-DQB1*06:02  Russia Arkhangelsk 1.900081
 331  DRB1*13:02-DQA1*01:02-DQB1*06:04  Italy pop 2 1.900053
 332  DRB1*13-DRB3*03-DQA1*01-DQB1*06-DPB1*04  USA San Francisco Caucasian 1.9000220
 333  DRB1*15-DQA1*01:03-DQB1*06:01  Russia Smolensk 1.9000156
 334  DRB1*15-DQA1*01:03-DQB1*06:01  Belarus Brest Region 1.9000105
 335  DRB1*15-DQA1*01:03-DQB1*06:02  Russia Arkhangelsk 1.900081
 336  DQA1*01:02-DQB1*06:04  Russia Tuva pop 2 1.8000169
 337  DRB1*13:01-DQA1*01:03-DQB1*06:03  India Northeast Shia 1.8000190
 338  DRB1*15:01-DQA1*01:03-DQB1*06:01  India Uttar Pradesh 1.8000202
 339  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Francisco Caucasian 1.8000220
 340  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*04:02  USA San Francisco Caucasian 1.8000220
 341  DRB1*15:02-DQA1*01:03-DQB1*06:01  USA San Francisco Caucasian 1.8000220
 342  A*26:01-B*38:01-C*12:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 1.7544130
 343  DQA1*01:03-DQB1*06:01  Israel Libyan Jews 1.7000119
 344  DQA1*01:03-DQB1*06:09  Ecuador African 1.700058
 345  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPB1*02:01  South Korea pop 2 1.7000207
 346  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  South Korea pop 11 1.7000149
 347  DRB1*15:01-DQA1*01:03-DQB1*06:01  India Northeast Lachung 1.700058
 348  DRB1*15:02-DQA1*01:02-DQB1*06:01  India Northeast Lachung 1.700058
 349  DRB1*15:02-DQA1*01:02-DQB1*06:01  India Uttar Pradesh 1.7000202
 350  DRB1*15:02-DQA1*01:03-DQB1*06:01  Italy Sardinia Lanusei 1.700087
 351  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 1.6807119
 352  DQA1*01:02-DQB1*06:03  Israel Iranian Jews 1.6000101
 353  DRB1*13:01-DQA1*01:02-DQB1*06:03  India Uttar Pradesh 1.6000202
 354  DRB1*13:01-DQA1*01:03-DQB1*06:03  Mexico Highlands Mestizos 1.6000160
 355  DRB1*13:02-DQA1*01:02-DQB1*06:04  Mexico Highlands Mestizos 1.6000160
 356  DRB1*13:02-DQA1*01:02-DQB1*06:04  India Uttar Pradesh 1.6000202
 357  DRB1*13:02-DQA1*01:02-DQB1*06:04  Italy Sardinia Sorgono 1.600093
 358  DRB1*13:02-DQA1*01:02-DQB1*06:09  Cameroon Yaounde 1.600092
 359  DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*05:01  China Canton Han 1.6000264
 360  DRB1*15:01-DQA1*01:02-DQB1*06:02  Italy Sardinia Tempio 1.600091
 361  DRB1*15:02-DQA1*01:03-DQB1*06:01  Italy Sardinia Oristano 1.600091
 362  A*02:01-B*45:01-C*16:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 1.5000100
 363  A*11-B*52-DRB1*15:02-DQA1*01:03-DQB1*06:01  Morocco 1.500096
 364  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPB1*02:01  South Korea pop 1 1.5000324
 365  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPB1*02:02  South Korea pop 2 1.5000207
 366  DRB1*13:01-DQA1*01:03-DQB1*06:03  Ethiopia Amhara 1.500098
 367  DRB1*13:01-DQA1*01:03-DQB1*06:05/06:09  Russia Siberia Khanty Mansi 1.500068
 368  DRB1*15:01-DQA1*01:02-DQB1*06:02  Ethiopia Amhara 1.500098
 369  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  China Canton Han 1.5000264
 370  DRB1*15:01-DQA1*01:03-DQB1*06:01  India Northeast Mech 1.500063
 371  DRB1*15-DQA1*01:03-DQB1*06:01  Belarus Vitebsk Region 1.500070
 372  A*11:01-B*35:03-C*04:01-DRB1*15:01-DQA1*01:02-DQB1*06:02  Mexico Tixcacaltuyub Maya 1.492567
 373  A*03-B*07-C*07-DRB1*15-DQA1*01-DQB1*06  Spain, Castilla y Leon, Northwest, 1.42181,743
 374  DQA1*01:02-DQB1*06:09  China, Xinjiang Uyghur Autonomous Region Uyghur 1.410071
 375  A*24-B*35-DRB1*15:01-DQA1*01:02-DQB1*06:02  Russia Tuva 1.4000190
 376  DRB1*08:01-DQA1*01:03-DQB1*06:02  Russia Siberia Polygus Evenk 1.400035
 377  DRB1*08:06-DQA1*01:02-DQB1*06:02  Algeria pop 2 1.4000106
 378  DRB1*11:01:01-DQA1*01:01-DQB1*06:03  Russia Siberia Polygus Evenk 1.400035
 379  DRB1*13:01-DQA1*01:03-DQB1*06:03  Australia New South Wales Aborigine 1.4000177
 380  DRB1*13:02-DQA1*01:02-DQB1*06:05/06:09  Russia Siberia Ulchi 1.400073
 381  DRB1*13:02-DQA1*01:02-DQB1*06:09  USA San Francisco Caucasian 1.4000220
 382  DRB1*14:03-DQA1*01:03-DQB1*06:02  Russia Siberia Polygus Evenk 1.400035
 383  DRB1*14:03-DQA1*01:03-DQB1*06:03  Russia Siberia Polygus Evenk 1.400035
 384  DRB1*15:01-DQA1*01:01-DQB1*06:02  Russia Siberia Polygus Evenk 1.400035
 385  DRB1*15:01-DQA1*01:03-DQB1*06:02/06:11  Russia Siberia Khanty Mansi 1.400068
 386  DRB1*15:02-DQA1*01:02-DQB1*06:01  India Northeast Rastogi 1.4000196
 387  DRB1*15:02-DQA1*01:02-DQB1*06:02  Slovenia pop 2 1.4000140
 388  DRB1*15:02-DQA1*01:03-DQB1*06:01  India Northeast Sunni 1.4000188
 389  DRB1*15:02-DQA1*01:03-DQB1*06:01  Russia Siberia Khanty Mansi 1.400068
 390  A*02-B*35-C*04-DRB1*15-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 391  B*35-C*04-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 392  B*39-C*07-DRB1*11-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 393  B*39-C*07-DRB1*13-DQA1*01-DQB1*06  Mexico Tapachula, Chiapas Mestizo Population 1.388972
 394  A*25-B*18-DRB1*13-DQA1*01:03-DQB1*06:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 395  A*25-B*18-DRB1*15-DQA1*01:02-DQB1*06:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 396  A*03:01-B*07:02-C*07:02-E*01:03:02-F*01:03:01-G*01:01-DRB1*15:01-DQA1*01:02-DQB1*06:02  Portugal Azores Terceira Island 1.3158130
 397  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*04:01  USA San Diego 1.3020496
 398  A*24:02-B*52:01-C*12:02-DRB1*15:02-DQA1*01:03-DQB1*06:01-DPB1*09:01  USA San Diego 1.3020496
 399  A*02-B*08-DRB1*13-DQA1*01:03-DQB1*06:03  Georgia Svaneti Region Svan 1.300080
 400  A*02-B*44-DRB1*13-DQA1*01:03-DQB1*06:02  Georgia Svaneti Region Svan 1.300080

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 2,063) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  


   

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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