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 801 to 900 (from 5,668) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 57  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 801  A*11-B*08-DRB1*03-DQA1*05-DQB1*02:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 802  A*24-B*58-DRB1*03-DQA1*05-DQB1*02:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 803  A*25-B*18-DRB1*03-DQA1*05-DQB1*02:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 804  A*26-B*08-DRB1*03-DQA1*05-DQB1*02:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 805  A*68-B*35-DRB1*03-DQA1*05-DQB1*02:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 806  A*68-B*44-DRB1*03-DQA1*05-DQB1*02:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.4400112
 807  A*01:01-B*15:39-C*03:03-E*01:01:01-F*01:01:01-G*01:06-DRB1*11:02-DQA1*05:05-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 808  A*02:01-B*35:01-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 809  A*02:01-B*49:01-C*07:01-E*01:03:01-F*01:01:01-G*01:01-DRB1*03:04-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 810  A*02:01-B*51:01-C*04:01-E*01:03:01-F*01:01:02-G*01:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 811  A*02:02-B*18:01-C*07:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 812  A*03:01-B*08:01-C*05:01-E*01:01:01-F*01:01:02-G*01:03-DRB1*03:01-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 813  A*03:01-B*35:03-C*04:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*08:01-DQA1*04:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 814  A*11:01-B*07:02-C*06:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*04:01-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 815  A*11:01-B*18:01-C*12:03-E*01:01:01-F*01:01:01-G*01:04-DRB1*13:05-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 816  A*66:01-B*42:02-C*17:03-E*01:03:02-F*01:01:01-G*01:01-DRB1*16:01-DQA1*01:02-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 817  A*68:01-B*07:02-C*07:02-E*01:01:01-F*01:03:01-G*01:01-DRB1*03:04-DQA1*02:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 818  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.43835,829
 819  A*01:01-B*81:01-C*18:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.4329339
 820  A*24:02-B*44:02-C*05:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.4329339
 821  A*33:01-B*14:02-C*04:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  Nicaragua Managua 0.4329339
 822  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Nicaragua Managua 0.4329339
 823  A*68:02-B*15:10-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  Nicaragua Managua 0.4329339
 824  A*24:07-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.432511,446
 825  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.430735,791
 826  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.43065,926
 827  B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 0.4300234
 828  B*14:02-C*08:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 0.4300234
 829  B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo pop 2 0.4300234
 830  DRB1*03:01:01:01-DQB1*02:01-DPB1*09:01:01  China Inner Mongolia Autonomous Region Northeast 0.4280496
 831  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.426070,890
 832  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01  India Kerala Malayalam speaking 0.4210356
 833  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 834  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*23:01:01  Russian Federation Vologda Region 0.4202119
 835  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 836  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01  Russian Federation Vologda Region 0.4202119
 837  A*01:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 838  A*01:01:01-B*57:01:01-C*07:01:01-DRB1*03:01:01-DQA1*02:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 839  A*02:01:01-B*13:02:01-C*02:02:02-DRB1*07:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 840  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*14:04:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02:01  Russian Federation Vologda Region 0.4202119
 841  A*25:01:01-B*18:01-C*07:01:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*15:01:01  Russian Federation Vologda Region 0.4202119
 842  A*26:01:01-B*40:01:02-C*05:01:01-DRB1*03:01-DQA1*01:03:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 843  A*26:01:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 844  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 845  A*33:03:01-B*58:01:01-C*02:02:02-DRB1*11:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 846  A*68:01:02-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*04:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 847  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 848  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*03:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 849  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 850  A*02:01:01-B*07:02:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 851  A*02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 852  A*11:01:01-B*08:01:01-C*03:03:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 853  A*24:02:01:01-B*08:01:01-C*07:02:01:01-DRB1*08:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 854  A*24:02:01:01-B*13:02:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 855  A*24:02:01-B*40:02:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 856  A*26:01:01-B*38:01:01-C*12:03:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 857  A*30:04:01-B*13:02:01-C*16:02:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 858  A*32:01:01-B*40:06:01:02-C*06:02:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 859  A*33:03:01-B*07:02:01-C*03:02:02-DRB1*07:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 860  A*33:03:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 861  A*33:03:01-B*51:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Russia Bashkortostan, Bashkirs 0.4167120
 862  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 863  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.41153,456,066
 864  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.411435,791
 865  DRB1*07:01:01:01-DQB1*02:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.4110496
 866  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.41011,075
 867  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.41011,463
 868  DRB1*11:01-DQB1*02:01  Italy pop 5 0.4100975
 869  DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.40781,064
 870  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 0.403543,540
 871  DRB1*04:03-DQB1*02:01  Cretan Islanders 0.4032124
 872  DRB1*04:05-DQB1*02:01  Cretan Islanders 0.4032124
 873  A*01:01-B*08:04-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 874  A*02:01-B*07:02-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*02:01  Kosovo 0.4030124
 875  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 876  A*03:01-B*39:31-C*12:03-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 877  A*24:02-B*07:02-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 878  A*24:02-B*18:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 879  A*32:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 880  A*32:01-B*40:01-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 881  A*66:01-B*41:02-C*17:03-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 882  A*68:01-B*40:01-C*03:04-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 0.4030124
 883  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.4022185,391
 884  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.39835,926
 885  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.39735,926
 886  A*01:01:01-B*27:05:02-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.3891521
 887  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 888  A*02:01:01-B*15:10:01-C*03:04:02-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 889  A*02:01:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 890  A*32:01:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3891521
 891  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.38901,075
 892  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Black 0.388333,328
 893  A*01:01-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Panama 0.3800462
 894  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:02  Panama 0.3800462
 895  A*33:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01-DPB1*05:01  Panama 0.3800462
 896  A*23:01-B*53:01-C*04:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.37602,411
 897  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP North American Amerindian 0.373235,791
 898  A*11:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.37065,849
 899  A*02:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.3700975
 900  A*01:01-B*57:01-C*06:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Indian 0.3690271

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 5,668) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 57  


   

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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