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 1,001 to 1,100 (from 1,915) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 20  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01255,266
 1,002  A*03:02-B*56:01-DRB1*01:02  Israel USSR Jews 0.012445,681
 1,003  A*26:01-B*56:01-DRB1*11:04  Israel USSR Jews 0.012445,681
 1,004  A*26:01:01-B*56:01:01-C*01:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.012423,595
 1,005  A*02:06-B*56:01-DRB1*04:03  Hong Kong Chinese cord blood registry 0.01233,892
 1,006  A*68:01-B*56:01-DRB1*01:01  Hong Kong Chinese cord blood registry 0.01233,892
 1,007  A*02:01-B*56:03-DRB1*09:01  Hong Kong Chinese cord blood registry 0.01213,892
 1,008  A*11:01-B*56:01-C*04:01-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.01214,204
 1,009  A*68:02-B*56:01-DRB1*11:04  Israel Argentina Jews 0.01214,307
 1,010  A*02:01-B*56:01-C*01:02-DRB1*04:03-DQB1*03:05  USA Hispanic pop 2 0.01201,999
 1,011  A*02:01-B*56:01-C*01:02-DRB1*16:02-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 1,012  A*02:07:01-B*56:04:01-C*01:02:01-DRB1*15:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01205,266
 1,013  A*03-B*56-DRB1*01  Brazil Para State 0.01205,000
 1,014  A*24:02-B*56:01-C*01:02-DRB1*03:01  Hong Kong Chinese BMDR 0.01207,595
 1,015  A*24:02-B*56:01-C*01:02-DRB1*04:03-DQB1*03:05  USA Hispanic pop 2 0.01201,999
 1,016  A*24:02-B*56:01-C*01:02-DRB1*08:01-DQB1*04:02  Germany DKMS - Turkey minority 0.01204,856
 1,017  A*24:02-B*56:01-C*01:02-DRB1*16:02-DQB1*05:02  USA Hispanic pop 2 0.01201,999
 1,018  A*11:01-B*56:01-DRB1*12:01  Hong Kong Chinese cord blood registry 0.01193,892
 1,019  A*02:01-B*56:01-C*01:02-DRB1*08:01-DQB1*04:02  India UCBB_Central Indian HLA 0.01194,204
 1,020  A*02:01-B*56:01-C*01:02-DRB1*14:04-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 1,021  A*02:01-B*56:01-C*04:01-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01194,204
 1,022  A*02:01-B*56:01-C*04:01-DRB1*11:01-DQB1*03:03  India UCBB_Central Indian HLA 0.01194,204
 1,023  A*02:01-B*56:01-C*16:02-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01194,204
 1,024  A*02:09-B*56:01-C*04:10-DRB1*01:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01194,204
 1,025  A*02:11-B*56:01-C*15:02-DRB1*03:01-DQB1*02:01  India UCBB_Central Indian HLA 0.01194,204
 1,026  A*02:11-B*56:01-C*15:02-DRB1*14:54-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 1,027  A*03:01-B*56:01-C*01:02-DRB1*07:01-DQB1*03:03  India UCBB_Central Indian HLA 0.01194,204
 1,028  A*03:01-B*56:01-C*04:01-DRB1*04:01-DQB1*03:02  India UCBB_Central Indian HLA 0.01194,204
 1,029  A*03:01-B*56:01-C*04:01-DRB1*07:01-DQB1*02:02  India UCBB_Central Indian HLA 0.01194,204
 1,030  A*03:02-B*56:01-C*01:02-DRB1*14:05-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 1,031  A*11:01-B*56:01-C*01:02-DRB1*12:02-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 1,032  A*11:01-B*56:01-C*01:02-DRB1*16:02-DQB1*02:01  India UCBB_Central Indian HLA 0.01194,204
 1,033  A*11:01-B*56:01-C*04:01-DRB1*15:01-DQB1*06:01  India UCBB_Central Indian HLA 0.01194,204
 1,034  A*11:01-B*56:01-C*04:10-DRB1*15:01-DQB1*06:02  India UCBB_Central Indian HLA 0.01194,204
 1,035  A*11:01-B*56:01-C*06:02-DRB1*07:01-DQB1*02:02  India UCBB_Central Indian HLA 0.01194,204
 1,036  A*11:01-B*56:01-C*07:04-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.01194,204
 1,037  A*11:01-B*56:01-DRB1*13:02  Israel Tunisia Jews 0.01199,070
 1,038  A*24:02-B*56:01-C*04:10-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.01194,204
 1,039  A*26:01-B*56:01-C*04:01-DRB1*07:01-DQB1*03:03  India UCBB_Central Indian HLA 0.01194,204
 1,040  A*29:01-B*56:01-C*04:01-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.01194,204
 1,041  A*31:01-B*56:01-C*15:02-DRB1*14:07-DQB1*04:02  India UCBB_Central Indian HLA 0.01194,204
 1,042  A*31:01-B*56:01-C*15:02-DRB1*14:10-DQB1*05:10  India UCBB_Central Indian HLA 0.01194,204
 1,043  A*31:16-B*56:01-C*01:02-DRB1*15:02-DQB1*05:02  India UCBB_Central Indian HLA 0.01194,204
 1,044  A*32:01-B*56:01-C*01:02-DRB1*04:03-DQB1*03:02  India UCBB_Central Indian HLA 0.01194,204
 1,045  A*32:01-B*56:01-C*01:02-DRB1*15:01-DQB1*05:03  India UCBB_Central Indian HLA 0.01194,204
 1,046  A*32:01-B*56:01-C*04:01-DRB1*11:01-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 1,047  A*33:03-B*56:01-C*01:02-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01194,204
 1,048  A*33:03-B*56:01-C*03:02-DRB1*11:01-DQB1*03:01  India UCBB_Central Indian HLA 0.01194,204
 1,049  A*68:01-B*56:01-C*01:02-DRB1*04:05-DQB1*04:02  India UCBB_Central Indian HLA 0.01194,204
 1,050  A*68:01-B*56:01-C*01:02-DRB1*16:02-DQB1*06:01  India UCBB_Central Indian HLA 0.01194,204
 1,051  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*02:02:01  Poland BMR 0.011823,595
 1,052  A*11:01-B*56:03-DRB1*14:03  Hong Kong Chinese cord blood registry 0.01183,892
 1,053  A*03:01-B*56:01-C*04:10-DRB1*10:01-DQB1*05:01  India UCBB_Central Indian HLA 0.01184,204
 1,054  A*03:02-B*56:01-DRB1*04:03  Israel Arab pop 2 0.011812,301
 1,055  A*02-B*56-DRB1*15  Brazil Para State 0.01175,000
 1,056  A*01:01-B*56:01-DRB1*12:01  Israel Argentina Jews 0.01164,307
 1,057  A*01:01-B*56:01-DRB1*16:01  Israel Argentina Jews 0.01164,307
 1,058  A*02:01-B*56:01-DRB1*01:02  Israel Argentina Jews 0.01164,307
 1,059  A*26:01-B*56:01-DRB1*10:01  Israel Argentina Jews 0.01164,307
 1,060  A*29:01-B*56:01-DRB1*03:01  Israel Argentina Jews 0.01164,307
 1,061  A*68:01-B*56:01-DRB1*12:01  Israel Argentina Jews 0.01164,307
 1,062  A*74:01-B*56:01-DRB1*04:03  Israel Argentina Jews 0.01164,307
 1,063  A*02:01-B*56:01-C*01:02-DRB1*11:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.01163,456,066
 1,064  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.011523,595
 1,065  A*24:02:01-B*56:01:01-C*01:02:01-DRB1*12:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01155,266
 1,066  A*02:01-B*56:01-C*01:02-DRB1*08:01-DQB1*04:02-DPB1*04:01  Germany DKMS - German donors 0.01143,456,066
 1,067  A*11:01-B*56:01-C*01:02-DRB1*08:01  Poland DKMS 0.011420,653
 1,068  A*26:01-B*56:01-DRB1*04:02  Israel Poland Jews 0.011413,871
 1,069  A*26:01-B*56:01-C*01:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.01123,456,066
 1,070  A*02:01-B*56:01-DRB1*07:01  Israel Georgia Jews 0.01124,471
 1,071  A*03:01-B*56:01-DRB1*04:03  Israel Poland Jews 0.011213,871
 1,072  A*11:01-B*56:01-DRB1*01:02  Israel Georgia Jews 0.01124,471
 1,073  A*23:01-B*56:01-DRB1*01:02  Israel Georgia Jews 0.01124,471
 1,074  A*32:01-B*56:01-DRB1*04:04  Israel Tunisia Jews 0.01129,070
 1,075  A*68:01-B*56:01-DRB1*07:01  Israel Ashkenazi Jews pop 3 0.01124,625
 1,076  A*68:01-B*56:01-DRB1*16:01  Israel Georgia Jews 0.01124,471
 1,077  A*02:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.011223,595
 1,078  A*02:01-B*56:01-DRB1*01:01  Israel Poland Jews 0.011113,871
 1,079  A*02:01-B*56:01-C*01:02-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01103,456,066
 1,080  A*01-B*56-DRB1*03  Brazil South East Cord Blood 0.011011,409
 1,081  A*02:01-B*56:01-C*01:02-DRB1*04:05-DQB1*03:02  USA African American pop 4 0.01102,411
 1,082  A*02:01-B*56:01-C*01:02-DRB1*08:01-DQB1*04:02  USA African American pop 4 0.01102,411
 1,083  A*02:03-B*56:01-C*12:02-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.01101,772
 1,084  A*02:03-B*56:01-C*12:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 1,085  A*02:11-B*56:01-C*04:01-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.01101,772
 1,086  A*02:11-B*56:01-C*04:01-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.01101,772
 1,087  A*02:60-B*56:01-C*01:02-DRB1*04:05-DQB1*03:02  USA African American pop 4 0.01102,411
 1,088  A*02:60-B*56:01-C*01:02-DRB1*08:01-DQB1*04:02  USA African American pop 4 0.01102,411
 1,089  A*03:01-B*56:01-C*01:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.01101,772
 1,090  A*03:01-B*56:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 1,091  A*03:02-B*56:01-C*01:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.01101,772
 1,092  A*03:02-B*56:01-C*01:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 1,093  A*26:01-B*56:01-C*04:01-DRB1*14:04-DQB1*05:03  USA Asian pop 2 0.01101,772
 1,094  A*26:01-B*56:01-C*04:01-DRB1*15:02-DQB1*06:01  USA Asian pop 2 0.01101,772
 1,095  A*26:01-B*56:01-C*12:02-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.01101,772
 1,096  A*26:01-B*56:01-C*12:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.01101,772
 1,097  A*01:01-B*56:01-DRB1*01:01  Israel Morocco Jews 0.010936,718
 1,098  A*03:01-B*56:01-DRB1*04:03  Israel USSR Jews 0.010945,681
 1,099  A*26:01-B*56:01-C*01:02-DRB1*04:04  Poland DKMS 0.010920,653
 1,100  A*02-B*56-C*04-DRB1*12-DQB1*03-DPB1*02  Myanmar Bamar 0.010946

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 1,001 to 1,100 (from 1,915) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 20  


   

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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