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 2,790) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 28  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.10725,266
 1,002  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.10663,456,066
 1,003  A*02:01-B*51:01-C*15:02-DRB1*04:02-DQB1*03:02-DPB1*02:01  Russia Karelia 0.10651,075
 1,004  DRB1*04:02:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1060496
 1,005  A*02:07:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.10585,266
 1,006  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.10585,266
 1,007  A*01:01-B*08:01-C*07:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.10491,075
 1,008  A*24:02:01-B*51:01:01-C*14:02:01-DRB1*09:01:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.10405,266
 1,009  DRB1*14:01:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1040496
 1,010  DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.10381,064
 1,011  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.10341,075
 1,012  DRB1*03:01:01:01-DQB1*06:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,013  DRB1*03:01:01:01-DQB1*06:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,014  DRB1*03:06-DQB1*02:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,015  DRB1*04:05:01-DQB1*02:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,016  DRB1*07:01:01:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,017  DRB1*07:01:01:01-DQB1*06:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,018  DRB1*08:02:01-DQB1*04:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,019  DRB1*11:37:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,020  DRB1*12:01:01-DQB1*04:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,021  DRB1*13:02:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,022  DRB1*14:02-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,023  DRB1*14:05:01-DQB1*05:42-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,024  DRB1*15:01:01:01-DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,025  DRB1*15:01:01:01-DQB1*05:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 0.1010496
 1,026  A*24:02:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.100828,927
 1,027  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 0.1008833
 1,028  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.10073,456,066
 1,029  A*01:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.1000570
 1,030  A*02:01-B*40:01-C*03:04-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,031  A*02:07-B*46:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,032  A*11:01-B*39:01-C*07:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,033  A*11:01-B*54:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,034  A*24:02-B*13:01-C*03:04-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,035  A*24:02-B*40:01-C*03:04-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,036  A*24:02-B*40:01-C*04:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,037  A*24:02-B*40:02-C*03:04-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,038  A*24:02-B*48:01-C*08:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,039  A*26:01-B*40:02-C*03:04-DRB1*08:02-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,040  A*26:01-B*48:01-C*08:01-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,041  A*26:01-B*54:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,042  A*26:03-B*35:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,043  A*26:03-B*35:01-C*03:03-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,044  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,045  A*31:01-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,046  A*31:01-B*39:02-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,047  A*31:01-B*51:01-C*14:02-DRB1*14:05-DQA1*01:04-DQB1*05:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,048  A*33:03-B*44:03-C*14:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 1,049  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02-DPB1*02:01  Germany DKMS - German donors 0.09973,456,066
 1,050  DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.09771,064
 1,051  A*68:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.09751,075
 1,052  A*02:01-B*44:02-C*05:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.09741,075
 1,053  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*08:03:02-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.09695,266
 1,054  A*26:01-B*38:01-C*12:03-DRB1*04:02-DQB1*03:02-DPB1*02:01  Russia Karelia 0.09681,075
 1,055  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.09521,075
 1,056  A*68:01:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.094528,927
 1,057  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.09441,075
 1,058  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.09423,456,066
 1,059  DRB1*14:05-DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*02:01  China Zhejiang Han pop 2 0.0939833
 1,060  A*31:01:02-B*49:01:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.093628,927
 1,061  A*01:01-B*15:17-C*07:01-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,062  A*01:01-B*35:02-C*04:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,063  A*01:01-B*40:06-C*15:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,064  A*02:01-B*15:03-C*02:10-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,065  A*02:01-B*41:01-C*17:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,066  A*03:01-B*50:01-C*15:02-DRB1*07:01-DQA1*01:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,067  A*11:01-B*07:05-C*07:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,068  A*11:01-B*15:02-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,069  A*11:01-B*18:01-C*07:02-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,070  A*11:01-B*40:06-C*15:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,071  A*26:01-B*38:01-C*12:03-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,072  A*26:01-B*44:03-C*14:03-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,073  A*30:01-B*50:01-C*06:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,074  A*31:01-B*51:01-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,075  A*32:01-B*35:08-C*04:01-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,076  A*68:01-B*07:02-C*07:02-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,077  A*68:01-B*40:06-C*15:02-DRB1*14:04-DQA1*01:01-DQB1*05:03-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,078  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,079  A*68:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,080  A*68:01-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,081  A*74:01-B*49:01-C*07:01-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0935570
 1,082  A*02:01-B*44:02-C*05:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.09353,456,066
 1,083  A*01:01:01-B*15:17:01-C*07:01:01-DRB1*13:02:01-DQB1*06:04:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.092628,927
 1,084  A*26:01-B*38:01-C*12:03-DRB1*11:01-DQB1*03:01-DPB1*02:01  Russia Karelia 0.09241,075
 1,085  A*68:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.092028,927
 1,086  DQA1*04:01-DQB1*04:02-DPA1*02:02-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.09171,064
 1,087  A*24:02:01-B*40:01:02-C*07:02:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.09145,266
 1,088  A*24:02:01-B*51:01:01-C*04:01:01-DRB1*04:02-DQB1*03:02:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.090528,927
 1,089  A*02:03:01-B*38:02:01-C*07:02:01-DRB1*16:02:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.08965,266
 1,090  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.08965,266
 1,091  A*30:01:01-B*49:01:01-C*07:01:01-DRB1*08:04-DQB1*03:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.089228,927
 1,092  A*01:01:01-B*52:01-C*12:02:01-DRB1*15:02:01-DQB1*06:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.089128,927
 1,093  A*03:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.08843,456,066
 1,094  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.08623,456,066
 1,095  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.08583,456,066
 1,096  A*02:01-B*40:01-C*03:04-DRB1*13:01-DQB1*06:03-DPB1*02:01  Russia Karelia 0.08321,075
 1,097  A*33:01-B*14:02-C*08:02-DRB1*01:02-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.08313,456,066
 1,098  A*33:03-B*40:06-C*15:02-DRB1*15:01-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0823570
 1,099  A*02:01-B*51:01-C*15:02-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0822570
 1,100  A*26:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0819570

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 2,790) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 28  


   

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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