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 1,701 to 1,800 (from 4,156) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 42  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,701  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Japanese 0.065224,582
 1,702  A*02:01:01-B*39:11-C*07:02:01-DRB1*04:11:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0646221
 1,703  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India Central UCBB 0.06434,204
 1,704  A*01:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*23:01  Russia Karelia 0.06401,075
 1,705  A*02:01-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.06404,856
 1,706  A*02:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.06404,856
 1,707  A*02:06:01-B*39:08-C*06:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0628221
 1,708  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.06242,403
 1,709  A*03:01-B*56:01-C*01:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.06242,403
 1,710  A*11:01-B*35:03-C*04:01-DRB1*15:01-DQB1*06:02  India East UCBB 0.06242,403
 1,711  A*24:02-B*40:01-C*15:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.06204,856
 1,712  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.061523,595
 1,713  A*31:01:02-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.061323,595
 1,714  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*06:01  Russia Karelia 0.06061,075
 1,715  DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*04:02  Hong Kong Chinese HKBMDR. DQ and DP 0.06061,064
 1,716  A*29:02-B*44:03-C*16:01-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.06001,159
 1,717  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*47:01  China Zhejiang Han pop 2 0.0600833
 1,718  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*1018:01  China Zhejiang Han pop 2 0.0600833
 1,719  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*394:01  China Zhejiang Han pop 2 0.0600833
 1,720  DRB1*15:01-DQB1*06:02  China Hubei Han 0.06003,732
 1,721  DRB1*15:02-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*04:02  China Zhejiang Han pop 2 0.0600833
 1,722  DRB1*15:02-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.0600833
 1,723  DRB1*15:02-DQA1*01:02-DQB1*06:02-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 1,724  A*01:01-B*52:01-C*15:04-DRB1*15:01-DQB1*06:02  India North UCBB 0.05985,849
 1,725  A*01:01:01-B*57:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.059323,595
 1,726  A*01:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05931,075
 1,727  A*02:06-B*35:01-C*03:03-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Chinese 0.059199,672
 1,728  A*02:05-B*58:01-C*07:01-DRB1*15:03-DQB1*06:02  USA African American pop 4 0.05902,411
 1,729  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05821,734
 1,730  A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05821,075
 1,731  A*01:01-B*18:01-C*07:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05801,075
 1,732  A*68:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.05801,999
 1,733  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05771,734
 1,734  A*02:01:01-B*15:11:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05771,734
 1,735  A*11:01:01-B*15:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05771,734
 1,736  A*24:02:01-B*40:01:02-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05771,734
 1,737  A*24:02:01-B*51:01:02-C*14:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05771,734
 1,738  A*31:01:02-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05771,734
 1,739  A*02:07:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05711,734
 1,740  A*31:01-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Italy minority 0.05701,159
 1,741  A*01:01-B*13:02-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05691,075
 1,742  A*03:01-B*35:03-C*04:01-DRB1*15:01-DQB1*06:02-DPB1*03:01  Russia Karelia 0.05661,075
 1,743  A*24:02-B*40:01-C*03:04-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05661,075
 1,744  A*03:01-B*18:01-C*07:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.05663,456,066
 1,745  A*02:01-B*15:01-C*04:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05651,075
 1,746  A*11:01-B*58:01-C*03:02-DRB1*15:01-DQB1*06:02-DPB1*23:01  Russia Karelia 0.05651,075
 1,747  A*26:01-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*15:01  Russia Karelia 0.05651,075
 1,748  A*02:01-B*07:02-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05651,075
 1,749  A*68:24-B*13:02-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Russia Karelia 0.05651,075
 1,750  A*30:02-B*39:06-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*02:01  Russia Karelia 0.05651,075
 1,751  A*03:01-B*40:01-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05651,075
 1,752  A*02:01-B*07:04-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05651,075
 1,753  A*01:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*05:01  Russia Karelia 0.05651,075
 1,754  A*24:02-B*35:03-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*14:01  Russia Karelia 0.05651,075
 1,755  A*11:01-B*35:03-C*04:01-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05651,075
 1,756  A*02:01-B*07:02-C*03:04-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05651,075
 1,757  A*02:01-B*39:06-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05651,075
 1,758  A*11:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05651,075
 1,759  A*30:01-B*41:01-C*17:01-DRB1*15:03-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05641,075
 1,760  A*11:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*23:01  Russia Karelia 0.05641,075
 1,761  A*03:01-B*40:02-C*02:02-DRB1*01:02-DQB1*06:02-DPB1*04:01  Russia Karelia 0.05641,075
 1,762  A*02:01-B*51:01-C*15:02-DRB1*15:01-DQB1*06:02-DPB1*05:01  Russia Karelia 0.05641,075
 1,763  A*11:01-B*55:01-C*03:03-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05641,075
 1,764  A*01:01-B*37:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05641,075
 1,765  A*02:01-B*07:04-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.05623,456,066
 1,766  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.05625,849
 1,767  A*03:01-B*40:01-C*03:04-DRB1*15:01-DQB1*06:02-DPB1*02:01  Russia Karelia 0.05601,075
 1,768  A*03:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*03:01  Russia Karelia 0.05601,075
 1,769  A*02:01-B*35:01-C*04:01-DRB1*15:01-DQB1*06:02-DPB1*03:01  Russia Karelia 0.05601,075
 1,770  A*02:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.05601,772
 1,771  A*23:01-B*53:01-C*04:01-DRB1*11:01-DQB1*06:02  USA African American pop 4 0.05602,411
 1,772  A*03:01:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.055923,595
 1,773  A*68:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05591,075
 1,774  A*31:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02-DPB1*05:01  Russia Karelia 0.05581,075
 1,775  A*25:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02-DPB1*06:01  Russia Karelia 0.05581,075
 1,776  A*02:01-B*44:02-C*05:01-DRB1*15:01-DQB1*06:02-DPB1*04:02  Russia Karelia 0.05561,075
 1,777  A*03:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.05535,829
 1,778  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
 1,779  A*11:01:01-B*40:02:01-C*07:02:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.05511,734
 1,780  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQB1*06:02  India West UCBB 0.05415,829
 1,781  A*01:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  Colombia Bogotá Cord Blood 0.05401,463
 1,782  A*02:01-B*35:01-C*03:03-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.05401,772
 1,783  A*02:06-B*15:18-C*08:01-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.05401,772
 1,784  A*03:01-B*35:01-C*04:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.05401,999
 1,785  A*26:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.05392,403
 1,786  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP Korean 0.053677,584
 1,787  A*33:03-B*44:03-C*07:06-DRB1*15:01-DQB1*06:02  India Central UCBB 0.05324,204
 1,788  A*01:01-B*57:01-C*06:02-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.05313,456,066
 1,789  A*02:01-B*08:01-C*07:01-DRB1*15:01-DQB1*06:02  USA Hispanic pop 2 0.05301,999
 1,790  A*24:02-B*38:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.05304,856
 1,791  A*32:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.05304,856
 1,792  A*02:01-B*15:01-C*03:04-DRB1*15:01-DQB1*06:02-DPB1*04:01  Germany DKMS - German donors 0.05283,456,066
 1,793  A*11:01-B*07:02-C*07:02-DRB1*15:01-DQB1*06:02  India North UCBB 0.05285,849
 1,794  A*01:01-B*07:02-C*16:02-DRB1*14:04-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 1,795  A*01:01-B*55:02-C*01:02-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 1,796  A*02:06-B*15:02-C*07:05-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 1,797  A*02:06-B*40:01-C*03:04-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 1,798  A*02:16-B*40:06-C*15:02-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 1,799  A*11:01-B*07:02-C*04:01-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 1,800  A*11:01-B*13:01-C*03:04-DRB1*15:02-DQB1*06:02  Malaysia Peninsular Malay 0.0526951

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 1,701 to 1,800 (from 4,156) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 42  


   

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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