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 2,801 to 2,900 (from 5,554) records   Pages: 21 22 23 24 25 26 27 28 29 30 of 56  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 2,801  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*04:01  China Zhejiang Han pop 2 0.0635833
 2,802  A*32:01-B*14:01-C*08:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.06353,456,066
 2,803  DRB1*15:01-DQA1*01:02-DQB1*06:10-DPA1*02:02-DPB1*04:01  China Zhejiang Han pop 2 0.0634833
 2,804  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.06323,456,066
 2,805  A*11:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:01  Germany DKMS - German donors 0.06313,456,066
 2,806  A*03:01-B*07:02-C*07:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.06303,456,066
 2,807  A*26:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Russia Karelia 0.06281,075
 2,808  A*02:01-B*15:01-C*03:04-DRB1*16:01-DQB1*05:02-DPB1*04:01  Russia Karelia 0.06271,075
 2,809  A*02:01-B*40:01-C*03:04-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.06261,075
 2,810  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0622833
 2,811  A*02:01-B*27:05-C*02:02-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.06191,075
 2,812  A*02:01-B*40:01-C*03:04-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.06173,456,066
 2,813  A*26:01-B*18:01-C*07:01-DRB1*14:01-DQB1*05:03-DPB1*04:01  Russia Karelia 0.06171,075
 2,814  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*04:01  China Zhejiang Han pop 2 0.0612833
 2,815  DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0611833
 2,816  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:07-DPB1*04:01  China Zhejiang Han pop 2 0.0610833
 2,817  A*25:01-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01-DPB1*04:02  Russia Karelia 0.06101,075
 2,818  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.06093,456,066
 2,819  A*11:01-B*27:05-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.06091,075
 2,820  A*03:01-B*07:02-C*07:02-DRB1*11:01-DQB1*03:01-DPB1*04:02  Russia Karelia 0.06081,075
 2,821  DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*04:02  Hong Kong Chinese HKBMDR. DQ and DP 0.06061,064
 2,822  A*02:01-B*40:02-C*03:04-DRB1*11:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.06061,075
 2,823  A*01:01-B*51:01-C*15:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.06041,075
 2,824  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0603833
 2,825  A*24:02-B*18:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0603570
 2,826  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*04:01  China Zhejiang Han pop 2 0.0602833
 2,827  DRB1*09:01-DQA1*03:02-DQB1*03:01-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0601833
 2,828  A*24:02-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.06011,075
 2,829  A*03:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*04:01  Germany DKMS - German donors 0.06013,456,066
 2,830  A*01-B*08-C*07-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,831  A*01-B*08-C*07-DRB1*12-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,832  A*01-B*37-C*06-DRB1*01-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,833  A*01-B*37-C*06-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,834  A*01-B*51-C*15-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,835  A*02-B*35-C*04-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,836  A*02-B*35-C*04-DRB1*14-DQB1*05-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,837  A*02-B*40-C*02-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,838  A*02-B*44-C*04-DRB1*07-DQB1*02-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,839  A*02-B*51-C*02-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,840  A*02-B*57-C*06-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,841  A*03-B*07-C*03-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,842  A*03-B*14-C*08-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,843  A*03-B*15-C*03-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,844  A*03-B*40-C*02-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,845  A*03-B*40-C*03-DRB1*08-DQB1*04-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,846  A*03-B*40-C*07-DRB1*13-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,847  A*11-B*44-C*05-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,848  A*24-B*15-C*03-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,849  A*24-B*44-C*05-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,850  A*25-B*07-C*07-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,851  A*25-B*18-C*12-DRB1*04-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,852  A*30-B*18-C*05-DRB1*03-DQB1*02-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,853  A*33-B*58-C*03-DRB1*03-DQB1*02-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,854  A*66-B*14-C*08-DRB1*11-DQB1*03-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,855  A*68-B*40-C*03-DRB1*15-DQB1*06-DPB1*04  Norway ethnic Norwegians 0.06004,510
 2,856  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:07-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 2,857  DRB1*01:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 2,858  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:10-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,859  DRB1*04:01-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,860  DRB1*04:02-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 2,861  DRB1*04:03-DQA1*03:01-DQB1*03:03-DPA1*02:02-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,862  DRB1*04:05-DQA1*03:03-DQB1*03:02-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 2,863  DRB1*04:05-DQA1*03:03-DQB1*03:02-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,864  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,865  DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 2,866  DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,867  DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*02:07-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 2,868  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:07-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,869  DRB1*10:01-DQA1*01:05-DQB1*05:01-DPA1*02:02-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,870  DRB1*11:01-DQA1*03:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,871  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 2,872  DRB1*11:01-DQA1*05:09-DQB1*03:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 2,873  DRB1*12:01-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 2,874  DRB1*12:01-DQA1*05:05-DQB1*02:01-DPA1*02:02-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 2,875  DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,876  DRB1*14:18-DQA1*01:04-DQB1*05:03-DPA1*02:01-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,877  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 2,878  DRB1*15:02-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,879  DRB1*16:01-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:01  China Zhejiang Han pop 2 0.0600833
 2,880  DRB1*16:01-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,881  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 2,882  A*02:01-B*07:02-C*07:02-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.05983,456,066
 2,883  A*24:02-B*18:01-C*07:01-DRB1*11:04-DQB1*03:01-DPB1*04:02  Germany DKMS - German donors 0.05973,456,066
 2,884  A*68:02-B*53:01-C*04:01-DRB1*13:02-DQB1*06:04-DPB1*04:01  Germany DKMS - German donors 0.05953,456,066
 2,885  A*01:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05931,075
 2,886  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0591833
 2,887  A*02:01-B*07:02-C*07:02-DRB1*12:01-DQB1*03:01-DPB1*04:01  Russia Karelia 0.05901,075
 2,888  A*02:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05891,075
 2,889  A*02:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.05833,456,066
 2,890  A*03:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.05833,456,066
 2,891  DRB1*14:07-DQA1*01:04-DQB1*05:03-DPA1*01:03-DPB1*04:02  China Zhejiang Han pop 2 0.0583833
 2,892  A*03:01-B*35:03-C*04:01-DRB1*08:01-DQB1*04:02-DPB1*04:01  Russia Karelia 0.05821,075
 2,893  A*24:02-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.05823,456,066
 2,894  A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05821,075
 2,895  A*02:01-B*40:01-C*03:04-DRB1*04:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.05813,456,066
 2,896  A*02:01-B*49:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.05811,075
 2,897  A*01:01-B*18:01-C*07:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05801,075
 2,898  A*24:02-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.05803,456,066
 2,899  A*24:02-B*35:08-C*04:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.0580570
 2,900  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*04:02  United Arab Emirates Pop 1 0.0579570

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 2,801 to 2,900 (from 5,554) records   Pages: 21 22 23 24 25 26 27 28 29 30 of 56  


   

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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