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 401 to 500 (from 6,284) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 63  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 401  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Vietnam Kinh 0.9900101
 402  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002323,595
 403  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*07:01:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 404  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.136823,595
 405  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00525,266
 406  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.11531,734
 407  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00685,266
 408  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 409  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.007523,595
 410  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002723,595
 411  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 412  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01755,266
 413  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05511,734
 414  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.008823,595
 415  A*02:01:01-B*35:01:01-C*03:03:01-DRB1*16:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 416  A*02:01:01-B*35:01:01-C*03:04:01  England Blood Donors of Mixed Ethnicity 0.0963519
 417  A*02:01:01-B*35:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 1.3511519
 418  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 419  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01  Russia Belgorod region 0.3268153
 420  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.011623,595
 421  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.008723,595
 422  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:01:01  Poland BMR 0.015523,595
 423  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.004023,595
 424  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.002523,595
 425  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.179723,595
 426  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 427  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 428  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.007923,595
 429  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
 430  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.5387120
 431  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 432  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:03-DQB1*03:01:01  Poland BMR 0.002323,595
 433  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.3268153
 434  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002823,595
 435  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.005623,595
 436  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*02:02:01  Poland BMR 0.002123,595
 437  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.005823,595
 438  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01  Nicaragua Mestizo (G) 0.3226155
 439  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002223,595
 440  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 441  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.004123,595
 442  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.3226155
 443  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 444  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.029623,595
 445  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.007823,595
 446  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:01-DQA1*02:01:01-DQB1*02:02-DPA1*02:01:01-DPB1*03:01:01  Russia Belgorod region 0.3268153
 447  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 448  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:03:02-DQB1*03:01:01  India Kerala Malayalam speaking 0.2810356
 449  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*08:04:01-DQB1*04:02:01  Poland BMR 0.003123,595
 450  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*09:01:02  Costa Rica African -Caribbean (G) 0.9804102
 451  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00635,266
 452  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.002223,595
 453  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*06:02:01  Poland BMR 0.001323,595
 454  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*02:02:01  Poland BMR 0.002423,595
 455  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.040423,595
 456  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*05:01:01  Poland BMR 0.002323,595
 457  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:01:01-DQB1*05:02:01  Poland BMR 0.002723,595
 458  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:02:01  Costa Rica African -Caribbean (G) 0.4902102
 459  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.003723,595
 460  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*11:03:01-DQB1*06:04:01  Poland BMR 0.002123,595
 461  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.002523,595
 462  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01  Nicaragua Mestizo (G) 0.3226155
 463  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 464  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.048823,595
 465  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 466  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 467  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.007523,595
 468  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:05:01-DQB1*03:01:01  Poland BMR 0.010123,595
 469  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 470  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:01:01-DQB1*05:03:01  Poland BMR 0.042123,595
 471  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:03:01-DQB1*03:01:01  China Zhejiang Han 0.05771,734
 472  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 473  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.026223,595
 474  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.011523,595
 475  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 476  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.009523,595
 477  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*16:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 478  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*16:02:01-DQB1*05:03  Costa Rica Central Valley Mestizo (G) 0.2262221
 479  A*02:01:01-B*35:01:01-C*04:01-DRB1*01:01  South Africa Caucasians 1.6700102
 480  A*02:01:01-B*35:01:01-C*04:267-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 481  A*02:01:01-B*35:01:01-C*05:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 482  A*02:01:01-B*35:01:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 483  A*02:01:01-B*35:01:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.002123,595
 484  A*02:01:01-B*35:01:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.4202119
 485  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
 486  A*02:01:01-B*35:01:01-C*08:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 487  A*02:01:01-B*35:01:01-C*15:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 488  A*02:01:01-B*35:01:01-C*15:02:01-DRB1*11:01:01-DQB1*05:03:01  Poland BMR 0.002123,595
 489  A*02:01:01-B*35:01:01-C*15:09-DRB1*04:11:01  Nicaragua Mestizo (G) 0.3226155
 490  A*02:01:01-B*35:01:01-C*15:13-DRB1*13:03:01-DQA1*03:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 491  A*02:01:01-B*35:01:01-C*16:01:01-DRB1*07:01  Costa Rica African -Caribbean (G) 0.4902102
 492  A*02:01:01-B*35:01:01-C*16:01:01-DRB1*08:04:01  Costa Rica African -Caribbean (G) 0.4902102
 493  A*02:01:01-B*35:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*01:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 494  A*02:01:01-B*35:01:01-C*17:01:01-DRB1*03:02:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 495  A*02:01:01-B*35:01:01-DRB1*01:01  Portugal North 2.200046
 496  A*02:01:01-B*35:01:01-DRB1*04:04  Portugal Center 1.000050
 497  A*02:01:01-B*35:01:01-DRB1*11:01:01  Cape Verde Northwestern Islands 1.600062
 498  A*02:01:01-B*35:01:01-DRB1*11:02  Guinea Bissau 3.100065
 499  A*02:01:01-B*35:01:01-DRB1*13:02:01  Guinea Bissau 2.300065
 500  A*02:01:01-B*35:01:23-C*04:01:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734

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 401 to 500 (from 6,284) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 63  


   

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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