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 801 to 900 (from 3,204) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 33  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*12:01  Nicaragua Mestizo (G) 0.3226155
 802  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.024523,595
 803  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQA1*01:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 804  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.057923,595
 805  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 806  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.018423,595
 807  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.009723,595
 808  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*14:01:01-DQB1*03:05:01  India Karnataka Kannada Speaking 0.2870174
 809  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*14:01:01-DQB1*05:03:01  Poland BMR 0.004723,595
 810  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 811  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.010823,595
 812  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQA1*01:01:01-DQB1*05:02-DPA1*01:03:01-DPB1*02:01  Russia Belgorod region 0.3268153
 813  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.074023,595
 814  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01-DPB1*03:01:01  South African Black 0.3520142
 815  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.006023,595
 816  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*15:01-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.0679221
 817  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*15:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.1131221
 818  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0452221
 819  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*15:06:01-DQB1*05:02:01  Poland BMR 0.002123,595
 820  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.015023,595
 821  A*03:01-B*35:01-C*04:01  Ireland Northern 1.20001,000
 822  A*03:01-B*35:01-C*04:01  Italy pop 5 1.4300975
 823  A*03:01-B*35:01-C*04:01  USA Caucasian pop 2 1.5000265
 824  A*03:01-B*35:01-C*04:01  USA San Francisco Caucasian 1.6000220
 825  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Austria minority 1.03201,698
 826  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Bosnia and Herzegovina minority 0.68601,028
 827  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - China minority 0.07801,282
 828  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Spain minority 0.98401,107
 829  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Croatia minority 0.79502,057
 830  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - France minority 0.82401,406
 831  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - United Kingdom minority 1.13201,043
 832  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Greece minority 0.51401,894
 833  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Portugal minority 0.59601,176
 834  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Netherlands minority 2.18401,374
 835  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany pop 6 1.54008,862
 836  A*03:01-B*35:01-C*04:01-DRB1*01:01  Germany DKMS - Romania minority 1.29001,234
 837  A*03:01-B*35:01-C*04:01-DRB1*01:01  Hong Kong Chinese BMDR 0.03957,595
 838  A*03:01-B*35:01-C*04:01-DRB1*01:01  Poland DKMS 1.094620,653
 839  A*03:01-B*35:01-C*04:01-DRB1*01:01  Russia Bering Island Aleuts 2.4038104
 840  A*03:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01  England North West 0.5000298
 841  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQA1*01:02-DQB1*05:02-DPB1*14:01  Sri Lanka Colombo 0.0700714
 842  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.61381,463
 843  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.96501,159
 844  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.53104,856
 845  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India Central UCBB 0.30504,204
 846  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India South UCBB 0.081511,446
 847  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India West UCBB 0.51175,829
 848  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India East UCBB 0.38772,403
 849  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  India North UCBB 0.21195,849
 850  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Italy pop 5 0.8800975
 851  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.51304,335
 852  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
 853  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Alaska Native or Aleut 0.69131,376
 854  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.17801,772
 855  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
 856  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA NMDP Caribean Indian 0.256814,339
 857  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
 858  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.17402,411
 859  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.32201,999
 860  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
 861  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
 862  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 1.15021,075
 863  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
 864  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.13131,075
 865  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
 866  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 1.12381,075
 867  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
 868  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 1.88471,075
 869  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
 870  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
 871  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
 872  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
 873  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
 874  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 0.050477,584
 875  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
 876  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Black 0.199133,328
 877  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Caribean Hispanic 0.3327115,374
 878  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 0.035924,582
 879  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Filipino 0.055650,614
 880  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
 881  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
 882  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
 883  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP African 0.107028,557
 884  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
 885  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Chinese 0.044299,672
 886  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Vietnamese 0.005543,540
 887  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Southeast Asian 0.293627,978
 888  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
 889  A*03:01-B*35:01-C*04:01-DRB1*01:02  Brazil Vale do Ribeira Quilombos 0.3472144
 890  A*03:01-B*35:01-C*04:01-DRB1*01:02-DQA1*01:01-DQB1*05:01  Brazil Puyanawa 0.6667150
 891  A*03:01-B*35:01-C*04:01-DRB1*01:02-DQB1*03:01-DPB1*04:01  Panama 0.1900462
 892  A*03:01-B*35:01-C*04:01-DRB1*01:02-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 893  A*03:01-B*35:01-C*04:01-DRB1*01:03  Germany DKMS - Spain minority 0.09701,107
 894  A*03:01-B*35:01-C*04:01-DRB1*01:03  Germany DKMS - Portugal minority 0.08501,176
 895  A*03:01-B*35:01-C*04:01-DRB1*01:03  Germany DKMS - United Kingdom minority 0.10601,043
 896  A*03:01-B*35:01-C*04:01-DRB1*01:07  Germany DKMS - Portugal minority 0.04601,176
 897  A*03:01-B*35:01-C*04:01-DRB1*01:07  Poland DKMS 0.002420,653
 898  A*03:01-B*35:01-C*04:01-DRB1*03:01  Germany DKMS - Netherlands minority 0.09201,374
 899  A*03:01-B*35:01-C*04:01-DRB1*03:01  Germany DKMS - United Kingdom minority 0.12701,043
 900  A*03:01-B*35:01-C*04:01-DRB1*03:01  Germany DKMS - France minority 0.14101,406

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 801 to 900 (from 3,204) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 33  


   

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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