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 1,014) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*32:01-B*53:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Mexico Tixcacaltuyub Maya 0.746367
 302  DQA1*01:01-DQB1*06:01  China, Xinjiang Uyghur Autonomous Region Han 0.710070
 303  DQA1*01:01-DQB1*06:02  China, Xinjiang Uyghur Autonomous Region Han 0.710070
 304  DQA1*01:01-DQB1*02:01  China, Xinjiang Uyghur Autonomous Region Uyghur 0.700071
 305  DQA1*01:01-DQB1*06:02  China, Xinjiang Uyghur Autonomous Region Uyghur 0.700071
 306  DQA1*01:01-DQB1*06:04  China, Xinjiang Uyghur Autonomous Region Uyghur 0.700071
 307  A*03:01-B*35:01-C*04:01-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Puyanawa 0.6667150
 308  A*74:01-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Puyanawa 0.6667150
 309  A*02:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 310  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.6536153
 311  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 312  A*68:02-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.6494339
 313  A*02-B*14-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.6261641
 314  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Africa Worcester 0.6000159
 315  A*66:01-B*52:01-C*12:02-DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*09:01  South Africa Worcester 0.6000159
 316  A*68:02-B*15:10-C*03:04-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  South Africa Worcester 0.6000159
 317  DRB1*14:02-DQA1*01:01-DQB1*03:02  Spain Las Alpujarras 0.590085
 318  DRB1*14:04-DQA1*01:01-DQB1*05:03  Spain Las Alpujarras 0.590085
 319  A*31:01-B*51:01-C*16:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.5602714
 320  A*02-B*50-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.5460641
 321  A*03-B*35-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.5460641
 322  A*26:01-B*27:05-C*01:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.5210496
 323  A*68:02-B*14:02-C*08:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.5210496
 324  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.5157833
 325  A*02:01-B*15:10-C*03:04-DRB1*12:01-DQA1*01:01-DQB1*06:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 326  A*02:01-B*47:01-C*06:98-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 327  A*02:01-B*58:01-C*03:02-DRB1*03:01-DQA1*01:01-DQB1*02:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 328  A*02:01-B*82:02-C*16:01-DRB1*12:01-DQA1*01:01-DQB1*05:01-DPB1*18:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 329  A*02:02-B*08:01-C*07:01-DRB1*12:01-DQA1*01:01-DQB1*06:02-DPB1*18:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 330  A*02:02-B*58:02-C*16:01-DRB1*15:03-DQA1*01:01-DQB1*06:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 331  A*02:05-B*53:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 332  A*02:05-B*58:01-C*07:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 333  A*02:14-B*18:03-C*04:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 334  A*02:14-B*58:01-C*03:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*39:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 335  A*23:01-B*15:10-C*16:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*39:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 336  A*23:01-B*45:01-C*04:01-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 337  A*30:02-B*57:02-C*18:01-DRB1*01:01-DQA1*01:01-DQB1*02:01-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 338  A*30:02-B*81:01-C*16:01-DRB1*13:01-DQA1*01:01-DQB1*06:03-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 339  A*34:02-B*35:01-C*08:04-DRB1*15:03-DQA1*01:01-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 340  A*36:01-B*81:01-C*04:01-DRB1*12:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 341  A*66:01-B*15:10-C*06:02-DRB1*13:01-DQA1*01:01-DQB1*03:03-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 342  A*66:01-B*44:03-C*14:03-DRB1*12:01-DQA1*01:01-DQB1*06:02-DPB1*13:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 343  A*74:01-B*41:01-C*17:01-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*19:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 344  A*74:03-B*18:01-C*05:01-DRB1*03:01-DQA1*01:01-DQB1*02:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 345  A*74:03-B*58:02-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 346  A*74:03-B*58:02-C*06:02-DRB1*11:01-DQA1*01:01-DQB1*03:01-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 347  A*74:03-B*81:01-C*08:04-DRB1*12:01-DQA1*01:01-DQB1*05:01-DPB1*18:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 348  A*74:03-B*82:02-C*03:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*17:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 349  A*03-B*07-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.4680641
 350  A*11-B*14-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.4614641
 351  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.46003,078
 352  A*02-B*44-DRB1*01:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.4517641
 353  DRB1*01:03-DQA1*01:01-DQB1*05:01  USA European American 0.45001,899
 354  A*01-B*08-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 355  A*02-B*13-DRB1*10-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 356  A*03-B*27-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 357  A*03-B*51-DRB1*14-DQA1*01:01-DQB1*05:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 358  A*23-B*49-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 359  A*23-B*51-DRB1*10-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 360  A*24-B*15-DRB1*10-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 361  A*24-B*48-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 362  A*25-B*07-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 363  A*25-B*18-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 364  A*32-B*35-DRB1*14-DQA1*01:01-DQB1*05:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 365  A*33-B*07-DRB1*01-DQA1*01:01-DQB1*05:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 366  A*33-B*46-DRB1*14-DQA1*01:01-DQB1*05:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 367  A*33-B*46-DRB1*14-DQA1*01:01-DQB1*05:03  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 368  A*01:01-B*08:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 369  A*01:01-B*35:01-C*15:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*01:03-DQA1*01:01-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 370  A*02:01-B*07:02-C*07:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 371  A*02:01-B*18:01-C*03:04-E*01:03:02-F*01:03:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 372  A*02:01-B*18:01-C*16:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*07:01-DQA1*01:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 373  A*02:01-B*39:01-C*12:03-E*01:03:01-F*01:01:02-G*01:01-DRB1*01:02-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 374  A*02:01-B*51:01-C*15:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*01:02-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 375  A*02:05-B*35:27-C*12:03-E*01:01:01-F*01:01:02-G*01:03-DRB1*08:01-DQA1*01:01-DQB1*04:02  Portugal Azores Terceira Island 0.4386130
 376  A*03:01-B*07:02-C*07:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*15:01-DQA1*01:01-DQB1*06:02  Portugal Azores Terceira Island 0.4386130
 377  A*03:01-B*15:01-C*04:01-E*01:03:02-F*01:01:01-G*01:04-DRB1*11:03-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 378  A*03:01-B*35:01-C*04:01-E*01:01:01-F*01:03:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 379  A*03:01-B*35:01-C*04:01-E*01:03:01-F*01:03:01-G*01:01-DRB1*01:06-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 380  A*11:01-B*35:01-C*04:01-E*01:01:01-F*01:01:02-G*01:04-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 381  A*23:01-B*51:01-C*15:02-E*01:01:01-F*01:03:01-G*01:03-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 382  A*24:02-B*14:02-C*07:01-E*01:01:01-F*01:01:01-G*01:04-DRB1*03:04-DQA1*01:01-DQB1*03:01  Portugal Azores Terceira Island 0.4386130
 383  A*24:02-B*15:01-C*03:03-E*01:01:01-F*01:01:01-G*01:04-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 384  A*25:01-B*51:32-C*12:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 385  A*29:02-B*53:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:01-DQB1*06:03  Portugal Azores Terceira Island 0.4386130
 386  A*30:02-B*38:01-C*08:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*01:02-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 387  A*68:01-B*44:03-C*07:01-E*01:03:01-F*01:01:01-G*01:06-DRB1*03:01-DQA1*01:01-DQB1*02:03  Portugal Azores Terceira Island 0.4386130
 388  A*02:01-B*07:02-C*07:02-DRB1*01:03-DQA1*01:01-DQB1*05:01-DPB1*04:02  Nicaragua Managua 0.4329339
 389  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.4329339
 390  A*11:01-B*13:02-C*06:02-DRB1*07:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Nicaragua Managua 0.4329339
 391  A*24:02-B*15:01-C*03:03-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*17:01  Nicaragua Managua 0.4329339
 392  A*30:01-B*50:01-C*06:02-DRB1*01:02-DQA1*01:01-DQB1*05:01-DPB1*04:01  Nicaragua Managua 0.4329339
 393  A*33:01-B*14:02-C*08:02-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*13:01  Nicaragua Managua 0.4329339
 394  A*68:01-B*15:03-C*02:10-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*17:01  Nicaragua Managua 0.4329339
 395  A*02:01:01-B*07:02:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 396  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 397  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQA1*01:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 398  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*10:01  Russian Federation Vologda Region 0.4202119
 399  A*02:01:01-B*41:02:01-C*17:03:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 400  A*02:01:01-B*49:01:01-C*07:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-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 1,014) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  


   

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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