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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Displaying 1 to 62 (from 62) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 2  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 2.57951,510
 3  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 4.0457192
 4  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.2946120
 5  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.8403119
 6  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 2.5210119
 7  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 8  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.673223,595
 10  A*03:01:01-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 Parda 1.1765170
 11  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 12  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 2.941268
 13  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 14  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 1.6290221
 15  A*03:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01  England North West 0.5000298
 16  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.61381,463
 17  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.53104,856
 18  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.96501,159
 19  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.30504,204
 20  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.081511,446
 21  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India East UCBB 0.38772,403
 22  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.21195,849
 23  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.51175,829
 24  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Italy pop 5 0.8800975
 25  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.51304,335
 26  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.32201,999
 27  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Caribean Indian 0.256814,339
 28  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Black South or Central American 0.23634,889
 29  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Alaska Native or Aleut 0.69131,376
 30  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Hawaiian or other Pacific Islander 0.243611,499
 31  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.98025,926
 32  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.17402,411
 33  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.17801,772
 34  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*01:01  Germany DKMS - German donors 0.03183,456,066
 35  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.08843,456,066
 36  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 1.15021,075
 37  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.09033,456,066
 38  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.13131,075
 39  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.53963,456,066
 40  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 1.12381,075
 41  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.63673,456,066
 42  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 1.88471,075
 43  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*05:01  Germany DKMS - German donors 0.02363,456,066
 44  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*06:01  Germany DKMS - German donors 0.01763,456,066
 45  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*09:01  Germany DKMS - German donors 0.02313,456,066
 46  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*14:01  Germany DKMS - German donors 0.01433,456,066
 47  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 0.005543,540
 48  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Hispanic 0.3327115,374
 49  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 0.035924,582
 50  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Mexican or Chicano 0.4183261,235
 51  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 0.293627,978
 52  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 1.12121,242,890
 53  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Black 0.199133,328
 54  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.050477,584
 55  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP African American pop 2 0.2441416,581
 56  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Filipino 0.055650,614
 57  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP North American Amerindian 0.820635,791
 58  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.544670,890
 59  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.3817185,391
 60  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Hispanic South or Central American 0.5057146,714
 61  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.044299,672
 62  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP African 0.107028,557

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).




   

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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