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 5,001 to 5,100 (from 6,325) records   Pages: 51 52 53 54 55 56 57 58 59 60 of 64  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 5,001  A*03:01:01-B*38:01:01-C*12:03:01-DRB1*09:01:02-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00515,266
 5,002  A*03:01-B*38:01-C*12:03-DRB1*13:12  Hong Kong Chinese BMDR 0.00517,595
 5,003  A*03:01-B*40:01-C*12:03-DRB1*04:18-DQB1*03:02  India North UCBB 0.00515,849
 5,004  A*26:01-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.005111,446
 5,005  A*26:01-B*38:01-C*12:03-DRB1*04:08  Poland DKMS 0.005120,653
 5,006  A*68:01-B*39:01-C*12:03-DRB1*04:01  Poland DKMS 0.005120,653
 5,007  A*66:01:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005123,595
 5,008  A*02:11-B*18:01-C*12:03-DRB1*15:01-DQB1*05:02  India Tamil Nadu 0.00502,492
 5,009  A*02:11-B*18:01-C*12:03-DRB1*15:02-DQB1*05:01  India Tamil Nadu 0.00502,492
 5,010  A*02:11-B*18:01-C*12:03-DRB1*15:02-DQB1*05:03  India Tamil Nadu 0.00502,492
 5,011  A*02:11-B*18:01-C*12:03-DRB1*15:06-DQB1*05:02  India Tamil Nadu 0.00502,492
 5,012  A*01:01-B*18:01-C*12:03-DRB1*07:01  Poland DKMS 0.005020,653
 5,013  A*02:01-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01  India South UCBB 0.005011,446
 5,014  A*02:06-B*55:02-C*12:03-DRB1*09:01  Japan pop 16 0.005018,604
 5,015  A*02:11-B*35:03-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.005011,446
 5,016  A*11:01-B*35:03-C*12:03-DRB1*01:01  Poland DKMS 0.005020,653
 5,017  A*11:01-B*35:03-C*12:03-DRB1*12:01-DQB1*03:01  India South UCBB 0.005011,446
 5,018  A*24:02-B*15:27-C*12:03-DRB1*15:01  Hong Kong Chinese BMDR 0.00507,595
 5,019  A*24:02-B*39:01-C*12:03-DRB1*04:05  Japan pop 16 0.005018,604
 5,020  A*24:02-B*39:01-C*12:03-DRB1*15:01  Japan pop 16 0.005018,604
 5,021  A*24:02-B*55:02-C*12:03-DRB1*14:05  Japan pop 16 0.005018,604
 5,022  A*24:02-B*56:01-C*12:03-DRB1*14:05  Japan pop 16 0.005018,604
 5,023  A*24:07-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 0.00505,849
 5,024  A*24:20-B*39:01-C*12:03-DRB1*15:01  Japan pop 16 0.005018,604
 5,025  A*26:01-B*38:01-C*12:03-DRB1*01:01  Japan pop 16 0.005018,604
 5,026  A*26:01-B*38:01-C*12:03-DRB1*04:01  Japan pop 16 0.005018,604
 5,027  A*26:01-B*38:01-C*12:03-DRB1*04:05  Japan pop 16 0.005018,604
 5,028  A*26:01-B*55:02-C*12:03-DRB1*04:01  Japan pop 16 0.005018,604
 5,029  A*26:01-B*55:02-C*12:03-DRB1*09:01  Japan pop 16 0.005018,604
 5,030  A*26:01-B*56:01-C*12:03-DRB1*08:01  Poland DKMS 0.005020,653
 5,031  A*32:01-B*35:03-C*12:03-DRB1*07:01-DQB1*02:02  India South UCBB 0.005011,446
 5,032  A*31:01:02-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.004923,595
 5,033  A*02:11-B*35:03-C*12:03-DRB1*13:02-DQB1*03:01  India Tamil Nadu 0.00492,492
 5,034  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004923,595
 5,035  A*02:01-B*35:03-C*12:03-DRB1*12:01  Poland DKMS 0.004920,653
 5,036  A*02:01-B*38:01-C*12:03-DRB1*11:01  Hong Kong Chinese BMDR 0.00497,595
 5,037  A*02:03:01-B*55:02:01-C*12:03:01-DRB1*04:03:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00495,266
 5,038  A*03:01-B*18:01-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.004911,446
 5,039  A*03:01-B*40:01-C*12:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.004911,446
 5,040  A*11:01-B*35:03-C*12:03-DRB1*13:03  Poland DKMS 0.004920,653
 5,041  A*24:02-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India Central UCBB 0.00494,204
 5,042  A*24:02-B*40:01-C*12:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004911,446
 5,043  A*31:01-B*38:01-C*12:03-DRB1*10:01  Poland DKMS 0.004920,653
 5,044  A*68:01-B*18:01-C*12:03-DRB1*15:01  Poland DKMS 0.004920,653
 5,045  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004823,595
 5,046  A*03:01:01-B*18:01:01-C*12:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004823,595
 5,047  A*02:01-B*39:06-C*12:03-DRB1*07:01  Poland DKMS 0.004820,653
 5,048  A*02:05-B*38:01-C*12:03-DRB1*07:01  Poland DKMS 0.004820,653
 5,049  A*02:05-B*38:01-C*12:03-DRB1*13:03  Poland DKMS 0.004820,653
 5,050  A*02:06-B*40:01-C*12:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.004811,446
 5,051  A*02:11-B*35:03-C*12:03-DRB1*11:01-DQB1*03:01  India South UCBB 0.004811,446
 5,052  A*03:01-B*18:01-C*12:03-DRB1*10:01  Poland DKMS 0.004820,653
 5,053  A*03:01-B*18:01-C*12:03-DRB1*16:01  Poland DKMS 0.004820,653
 5,054  A*03:01-B*35:03-C*12:03-DRB1*14:07  Poland DKMS 0.004820,653
 5,055  A*03:01-B*44:02-C*12:03-DRB1*04:01  Poland DKMS 0.004820,653
 5,056  A*11:01:01-B*35:03:01-C*12:03:01-DRB1*08:03:02-DPB1*26:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00485,266
 5,057  A*11:01-B*55:01-C*12:03-DRB1*13:01-DQB1*06:03  India South UCBB 0.004811,446
 5,058  A*23:01-B*18:01-C*12:03-DRB1*15:01  Poland DKMS 0.004820,653
 5,059  A*25:01-B*15:01-C*12:03-DRB1*01:01  Poland DKMS 0.004820,653
 5,060  A*25:01-B*27:02-C*12:03-DRB1*13:01  Poland DKMS 0.004820,653
 5,061  A*25:01-B*27:05-C*12:03-DRB1*01:01  Poland DKMS 0.004820,653
 5,062  A*25:01-B*40:01-C*12:03-DRB1*13:02  Poland DKMS 0.004820,653
 5,063  A*26:01-B*38:09-C*12:03-DRB1*04:02  Poland DKMS 0.004820,653
 5,064  A*29:02-B*39:06-C*12:03-DRB1*08:01  Poland DKMS 0.004820,653
 5,065  A*31:01-B*39:01-C*12:03-DRB1*13:02  Poland DKMS 0.004820,653
 5,066  A*31:01-B*40:01-C*12:03-DRB1*15:01  Hong Kong Chinese BMDR 0.00487,595
 5,067  A*32:01-B*35:03-C*12:03-DRB1*03:01-DQB1*02:01  India South UCBB 0.004811,446
 5,068  A*32:01-B*35:03-C*12:03-DRB1*07:01  Poland DKMS 0.004820,653
 5,069  A*33:03-B*38:01-C*12:03-DRB1*14:01  Poland DKMS 0.004820,653
 5,070  A*66:01-B*38:01-C*12:03-DRB1*04:02  Poland DKMS 0.004820,653
 5,071  A*66:01-B*39:01-C*12:03-DRB1*16:01  Poland DKMS 0.004820,653
 5,072  A*68:02-B*38:01-C*12:03-DRB1*11:04  Poland DKMS 0.004820,653
 5,073  A*31:01:02-B*35:03:01-C*12:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.004823,595
 5,074  A*02:01:01-B*35:03:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004823,595
 5,075  A*01:01-B*38:01-C*12:03-DRB1*10:01  Poland DKMS 0.004720,653
 5,076  A*02:01-B*39:06-C*12:03-DRB1*08:01  Poland DKMS 0.004720,653
 5,077  A*03:01-B*18:01-C*12:03-DRB1*16:02  Poland DKMS 0.004720,653
 5,078  A*11:01-B*18:01-C*12:03-DRB1*03:01-DQB1*02:01  India South UCBB 0.004711,446
 5,079  A*11:01-B*18:01-C*12:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004711,446
 5,080  A*11:01-B*18:01-C*12:03-DRB1*14:04-DQB1*05:03  India South UCBB 0.004711,446
 5,081  A*11:01-B*51:01-C*12:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.004711,446
 5,082  A*23:01-B*18:01-C*12:03-DRB1*04:01  Poland DKMS 0.004720,653
 5,083  A*24:02-B*38:01-C*12:03-DRB1*07:01  Poland DKMS 0.004720,653
 5,084  A*25:01-B*39:01-C*12:03-DRB1*13:02  Poland DKMS 0.004720,653
 5,085  A*26:01-B*51:01-C*12:03-DRB1*07:01  Poland DKMS 0.004720,653
 5,086  A*31:01-B*35:03-C*12:03-DRB1*04:08  Poland DKMS 0.004720,653
 5,087  A*31:01-B*38:01-C*12:03-DRB1*11:04  Poland DKMS 0.004720,653
 5,088  A*31:01-B*39:01-C*12:03-DRB1*08:01  Poland DKMS 0.004720,653
 5,089  A*33:03-B*51:01-C*12:03-DRB1*04:10  Hong Kong Chinese BMDR 0.00477,595
 5,090  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.004723,595
 5,091  A*03:01:01-B*07:02:01-C*12:03:01-DRB1*15:01:01-DQB1*05:02:01  Poland BMR 0.004723,595
 5,092  A*23:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004623,595
 5,093  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.004623,595
 5,094  A*32:01:01-B*38:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.004623,595
 5,095  A*02:01-B*35:08-C*12:03-DRB1*07:01  Poland DKMS 0.004620,653
 5,096  A*02:11-B*40:01-C*12:03-DRB1*15:02-DQB1*06:01  India South UCBB 0.004611,446
 5,097  A*24:02-B*18:01-C*12:03-DRB1*14:01  Poland DKMS 0.004620,653
 5,098  A*25:01-B*51:01-C*12:03-DRB1*13:01  Poland DKMS 0.004620,653
 5,099  A*31:01-B*38:01-C*12:03-DRB1*13:02  Poland DKMS 0.004620,653
 5,100  A*32:01-B*18:01-C*12:03-DRB1*13:02  Poland DKMS 0.004620,653

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 5,001 to 5,100 (from 6,325) records   Pages: 51 52 53 54 55 56 57 58 59 60 of 64  


   

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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