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 4,701 to 4,800 (from 4,833) records   Pages: 41 42 43 44 45 46 47 48 49 of 49  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 4,701  A*02:11-B*51:01-C*07:29-DRB1*11:01-DQB1*06:01  India Tamil Nadu 0.00172,492
 4,702  A*24:02-B*52:01-C*12:02-DRB1*04:03-DQB1*06:01  India Tamil Nadu 0.00172,492
 4,703  A*24:07-B*52:01-C*12:02-DRB1*04:03-DQB1*06:01  India Tamil Nadu 0.00172,492
 4,704  A*24:11N-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.001511,446
 4,705  A*02:11-B*40:06-C*15:02-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Vietnamese 0.001343,540
 4,706  A*11:01-B*13:01-C*03:04-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP South Asian Indian 0.0013185,391
 4,707  A*03:01-B*40:01-C*03:04-DRB1*15:02-DQB1*06:01  India East UCBB 0.00132,403
 4,708  DRB1*13:01-DQA1*01:01-DQB1*06:01-DPA1*01:03-DPB1*02:01  Pakistan Mixed Punjabi 0.0013389
 4,709  DRB1*13:01-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  Pakistan Mixed Punjabi 0.0013389
 4,710  DRB1*13:01-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:02  Pakistan Mixed Punjabi 0.0013389
 4,711  DRB1*13:01-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*04:01  Pakistan Mixed Punjabi 0.0013389
 4,712  DRB1*13:02-DQA1*01:01-DQB1*06:01-DPA1*01:03-DPB1*02:01  Pakistan Mixed Punjabi 0.0013389
 4,713  DRB1*13:02-DQA1*01:02-DQB1*06:01-DPA1*02:01-DPB1*04:01  Pakistan Mixed Punjabi 0.0013389
 4,714  DRB1*13:29-DQA1*05:05-DQB1*06:01-DPA1*01:11-DPB1*04:01  Pakistan Mixed Punjabi 0.0013389
 4,715  DRB1*14:04-DQA1*01:02-DQB1*06:01-DPA1*01:03-DPB1*04:01  Pakistan Mixed Punjabi 0.0013389
 4,716  DRB1*14:04-DQA1*01:03-DQB1*06:01-DPA1*01:11-DPB1*02:01  Pakistan Mixed Punjabi 0.0013389
 4,717  DRB1*15:01-DQA1*01:01-DQB1*06:01-DPA1*01:03-DPB1*04:02  Pakistan Mixed Punjabi 0.0013389
 4,718  DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*04:01-DPB1*28:01  Pakistan Mixed Punjabi 0.0013389
 4,719  DRB1*15:01-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*01:01  Pakistan Mixed Punjabi 0.0013389
 4,720  DRB1*15:01-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*02:01  Pakistan Mixed Punjabi 0.0013389
 4,721  DRB1*15:01-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*10:01  Pakistan Mixed Punjabi 0.0013389
 4,722  DRB1*15:01-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*13:01  Pakistan Mixed Punjabi 0.0013389
 4,723  DRB1*15:01-DQA1*02:01-DQB1*06:01-DPA1*02:01-DPB1*04:02  Pakistan Mixed Punjabi 0.0013389
 4,724  DRB1*15:01-DQA1*03:01-DQB1*06:01-DPA1*01:03-DPB1*03:01  Pakistan Mixed Punjabi 0.0013389
 4,725  DRB1*15:01-DQA1*03:01-DQB1*06:01-DPA1*02:01-DPB1*14:01  Pakistan Mixed Punjabi 0.0013389
 4,726  DRB1*15:01-DQA1*03:02-DQB1*06:01-DPA1*02:07-DPB1*04:01  Pakistan Mixed Punjabi 0.0013389
 4,727  DRB1*15:01-DQA1*05:01-DQB1*06:01-DPA1*02:01-DPB1*04:02  Pakistan Mixed Punjabi 0.0013389
 4,728  DRB1*15:01-DQA1*05:05-DQB1*06:01-DPA1*01:03-DPB1*81:01  Pakistan Mixed Punjabi 0.0013389
 4,729  DRB1*15:01-DQA1*05:05-DQB1*06:01-DPA1*02:01-DPB1*09:01  Pakistan Mixed Punjabi 0.0013389
 4,730  DRB1*15:01-DQA1*05:05-DQB1*06:01-DPA1*02:07-DPB1*04:01  Pakistan Mixed Punjabi 0.0013389
 4,731  DRB1*15:01-DQA1*05:05-DQB1*06:01-DPA1*04:01-DPB1*04:01  Pakistan Mixed Punjabi 0.0013389
 4,732  DRB1*15:02-DQA1*01:02-DQB1*06:01-DPA1*02:01-DPB1*10:01  Pakistan Mixed Punjabi 0.0013389
 4,733  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:02  Pakistan Mixed Punjabi 0.0013389
 4,734  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*01:11-DPB1*04:01  Pakistan Mixed Punjabi 0.0013389
 4,735  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*09:01  Pakistan Mixed Punjabi 0.0013389
 4,736  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*26:01  Pakistan Mixed Punjabi 0.0013389
 4,737  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*516:01  Pakistan Mixed Punjabi 0.0013389
 4,738  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*15:01  Pakistan Mixed Punjabi 0.0013389
 4,739  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*26:01  Pakistan Mixed Punjabi 0.0013389
 4,740  DRB1*15:02-DQA1*02:01-DQB1*06:01-DPA1*02:07-DPB1*04:01  Pakistan Mixed Punjabi 0.0013389
 4,741  DRB1*15:02-DQA1*03:01-DQB1*06:01-DPA1*02:01-DPB1*04:02  Pakistan Mixed Punjabi 0.0013389
 4,742  DRB1*15:02-DQA1*03:02-DQB1*06:01-DPA1*02:01-DPB1*09:01  Pakistan Mixed Punjabi 0.0013389
 4,743  DRB1*15:02-DQA1*05:01-DQB1*06:01-DPA1*01:03-DPB1*04:02  Pakistan Mixed Punjabi 0.0013389
 4,744  DRB1*15:02-DQA1*05:01-DQB1*06:01-DPA1*01:03-DPB1*33:01  Pakistan Mixed Punjabi 0.0013389
 4,745  DRB1*15:02-DQA1*05:01-DQB1*06:01-DPA1*02:01-DPB1*26:01  Pakistan Mixed Punjabi 0.0013389
 4,746  DRB1*15:02-DQA1*05:05-DQB1*06:01-DPA1*02:01-DPB1*13:01  Pakistan Mixed Punjabi 0.0013389
 4,747  DRB1*15:07-DQA1*01:02-DQB1*06:01-DPA1*04:01-DPB1*28:01  Pakistan Mixed Punjabi 0.0013389
 4,748  DRB1*15:07-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*04:01  Pakistan Mixed Punjabi 0.0013389
 4,749  DRB1*15:07-DQA1*05:05-DQB1*06:01-DPA1*02:01-DPB1*09:01  Pakistan Mixed Punjabi 0.0013389
 4,750  DRB1*15:07-DQA1*05:05-DQB1*06:01-DPA1*02:07-DPB1*14:01  Pakistan Mixed Punjabi 0.0013389
 4,751  DRB1*16:02-DQA1*01:03-DQB1*06:01-DPA1*02:01-DPB1*14:01  Pakistan Mixed Punjabi 0.0013389
 4,752  A*03:01-B*51:01-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00132,492
 4,753  A*02:06-B*55:01-C*01:02-DRB1*14:01-DQB1*06:01  India Tamil Nadu 0.00122,492
 4,754  A*02:06-B*55:01-C*01:02-DRB1*14:04-DQB1*06:01  India Tamil Nadu 0.00122,492
 4,755  A*02:11-B*40:01-C*12:03-DRB1*15:01-DQB1*06:01  India South UCBB 0.001211,446
 4,756  A*11:01-B*39:01-C*12:03-DRB1*14:01-DQB1*06:01  India Tamil Nadu 0.00122,492
 4,757  A*24:02-B*55:01-C*01:02-DRB1*14:01-DQB1*06:01  India Tamil Nadu 0.00112,492
 4,758  A*02:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00112,492
 4,759  A*02:01-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00112,492
 4,760  A*02:06-B*37:01-C*06:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.00115,849
 4,761  A*24:07-B*58:01-C*03:02-DRB1*03:01-DQB1*06:01  India Tamil Nadu 0.00092202,492
 4,762  A*26:01-B*55:01-C*01:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00087702,492
 4,763  A*01:01-B*40:06-C*15:02-DRB1*16:01-DQB1*06:01  India Tamil Nadu 0.00083402,492
 4,764  A*24:02-B*18:01-C*07:01-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00063402,492
 4,765  A*24:02-B*52:01-C*12:02-DRB1*14:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,766  A*24:07-B*52:01-C*12:02-DRB1*14:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,767  A*32:01-B*44:02-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,768  A*32:01-B*44:02-C*14:55-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,769  A*32:01-B*44:03-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,770  A*32:01-B*44:03-C*14:55-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,771  A*32:02-B*44:02-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,772  A*32:02-B*44:02-C*14:55-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,773  A*32:02-B*44:03-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,774  A*32:02-B*44:03-C*14:55-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,775  A*32:08-B*44:02-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,776  A*32:08-B*44:02-C*14:55-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,777  A*32:08-B*44:03-C*14:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,778  A*32:08-B*44:03-C*14:55-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00055702,492
 4,779  A*68:01-B*15:02-C*08:01-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00046302,492
 4,780  A*31:01-B*58:34-C*03:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00044402,492
 4,781  A*31:01-B*58:34-C*03:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00044402,492
 4,782  A*02:11-B*40:06-C*15:02-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Chinese 0.000439099,672
 4,783  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Caribean Hispanic 0.0004330115,374
 4,784  A*02:11-B*40:06-C*15:02-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP Hispanic South or Central American 0.0003410146,714
 4,785  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Vietnamese 0.000328043,540
 4,786  A*02:07-B*46:01-C*01:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP European Caucasian 0.00032151,242,890
 4,787  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Vietnamese 0.000306043,540
 4,788  A*02:11-B*13:01-C*04:03-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00028002,492
 4,789  A*02:07-B*46:01-C*01:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP Caribean Black 0.000250033,328
 4,790  A*02:07-B*46:01-C*01:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP Hispanic South or Central American 0.0002370146,714
 4,791  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP Vietnamese 0.000178043,540
 4,792  A*32:01-B*44:02-C*14:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 4,793  A*32:01-B*44:02-C*14:55-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 4,794  A*32:01-B*44:03-C*14:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 4,795  A*32:01-B*44:03-C*14:55-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 4,796  A*32:02-B*44:02-C*14:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 4,797  A*32:02-B*44:02-C*14:55-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 4,798  A*32:02-B*44:03-C*14:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 4,799  A*32:02-B*44:03-C*14:55-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492
 4,800  A*32:08-B*44:02-C*14:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00013902,492

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 4,701 to 4,800 (from 4,833) records   Pages: 41 42 43 44 45 46 47 48 49 of 49  


   

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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