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 2,375) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 24  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1,001  A*33:01-B*39:01-C*12:03-DRB1*14:01  Germany DKMS - France minority 0.03601,406
 1,002  A*33:03-B*39:01-C*12:03-DRB1*11:01  Germany DKMS - Netherlands minority 0.03601,374
 1,003  A*68:01-B*39:01-C*07:02-DRB1*09:01  Germany DKMS - France minority 0.03601,406
 1,004  A*68:01-B*39:01-C*07:02-DRB1*15:01  Germany DKMS - France minority 0.03601,406
 1,005  A*68:01-B*39:01-C*12:03-DRB1*07:01  Germany DKMS - Croatia minority 0.03602,057
 1,006  A*68:01-B*39:01-C*12:03-DRB1*12:01  Germany DKMS - France minority 0.03601,406
 1,007  A*68:01-B*39:01-C*12:03-DRB1*16:01  Germany DKMS - France minority 0.03601,406
 1,008  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.036023,595
 1,009  A*24:02-B*39:01-DRB1*15:01  Hong Kong Chinese cord blood registry 0.03573,892
 1,010  A*02:03-B*39:01-C*07:02-DRB1*04:05-DQB1*04:01  India UCBB_Central Indian HLA 0.03574,204
 1,011  A*24:33-B*39:01-C*12:04-DRB1*12:02-DQB1*03:01  India UCBB_Central Indian HLA 0.03574,204
 1,012  A*02:01-B*39:01-C*07:02-DRB1*01:01  Poland DKMS 0.035520,653
 1,013  A*31:08-B*39:01-DRB1*03:01  Israel Argentina Jews 0.03534,307
 1,014  A*32:01-B*39:01-DRB1*12:01  Israel Kavkazi Jews 0.03522,840
 1,015  A*31:08-B*39:01-DRB1*12:01  Israel USSR Jews 0.034945,681
 1,016  A*31:01-B*39:01-C*12:03-DRB1*16:01  Poland DKMS 0.034420,653
 1,017  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*15:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03425,266
 1,018  A*02:13-B*39:01-C*07:02-DRB1*14:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 1,019  A*11:01-B*39:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 1,020  A*24:95-B*39:01-C*12:03-DRB1*11:04-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 1,021  A*29:02-B*39:01-C*12:03-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 1,022  A*29:02-B*39:01-C*12:03-DRB1*09:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.03421,463
 1,023  A*31:01-B*39:01-C*12:03-DRB1*09:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.03421,463
 1,024  A*68:02-B*39:01-C*07:02-DRB1*01:02-DQB1*05:01  Colombia Bogotá Cord Blood 0.03421,463
 1,025  A*01:01-B*39:01-C*12:03-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,026  A*01:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,027  A*01:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,028  A*02:01-B*39:01-C*07:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,029  A*02:01-B*39:01-C*07:02-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,030  A*02:01-B*39:01-C*12:03-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,031  A*02:01-B*39:01-C*12:03-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,032  A*02:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,033  A*02:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,034  A*03:01-B*39:01-C*05:01-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,035  A*03:01-B*39:01-C*07:02-DRB1*14:54-DQB1*05:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,036  A*03:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,037  A*11:01:01-B*39:01:01-C*07:02:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03405,266
 1,038  A*24:02-B*39:01-C*07:02-DRB1*16:02-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,039  A*24:02-B*39:01-C*12:03-DRB1*04:03-DQB1*03:05  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,040  A*25:01-B*39:01-C*12:03-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,041  A*25:01-B*39:01-C*12:03-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,042  A*25:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,043  A*26:08-B*39:01-C*12:03-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,044  A*31:01-B*39:01-C*12:03-DRB1*12:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,045  A*33:01-B*39:01-C*12:03-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,046  A*33:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,047  A*68:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 1,048  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.033323,595
 1,049  A*02:01-B*39:01-DRB1*16:01  Israel Argentina Jews 0.03324,307
 1,050  A*01:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,051  A*02:01:01:01-B*39:01:01:03-C*02:02:02-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,052  A*02:01:01:01-B*39:01:01:03-C*07:02:01:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,053  A*02:01:01:01-B*39:01:01:03-C*12:02:02-DRB1*15:02-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,054  A*02:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*11:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,055  A*02:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 1,056  A*03:01:01:01-B*39:01:01:03-C*07:02:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,057  A*03:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 1,058  A*11:01:01:01-B*39:01:01:03-C*03:03:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,059  A*11:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,060  A*11:01:01:01-B*39:01:01-C*12:03:01:01-DRB1*14:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 1,061  A*24:02:01:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 1,062  A*24:02:01:01-B*39:01:01-C*12:03:01:01-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,063  A*24:02:01-B*39:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,064  A*25:01:01-B*39:01:01-C*12:03:01:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 1,065  A*26:01:01-B*39:01:01-C*12:03:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 1,066  A*26:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,067  A*26:01:01-B*39:01:01-C*12:03:01:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03311,510
 1,068  A*31:01:02:01-B*39:01:01:03-C*07:02:01-DRB1*15:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,069  A*31:01:02:01-B*39:01:01-C*12:03:01:01-DRB1*04:08:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,070  A*32:01:01-B*39:01:01:03-C*04:01:01-DRB1*04:03:01-DQB1*05:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,071  A*32:01:01-B*39:01:01-C*12:03:01:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,072  A*32:01:01-B*39:01:01-C*12:03:01:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,073  A*32:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,074  A*32:01:01-B*39:01:01-C*12:03:01:01-DRB1*13:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,075  A*32:01:01-B*39:01:01-C*12:03:01-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,076  A*68:24-B*39:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 1,077  A*24:02-B*39:01-C*12:03-DRB1*16:01  Germany DKMS - Croatia minority 0.03302,057
 1,078  A*33:03-B*39:01  USA African American pop 4 0.03302,411
 1,079  A*31:01:02-B*39:01:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.03271,734
 1,080  A*02:01-B*39:01-C*07:02-DRB1*04:04  Hong Kong Chinese BMDR 0.03267,595
 1,081  A*02:01-B*39:01-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.03213,456,066
 1,082  A*02:01-B*39:01-C*12:03-DRB1*04:04  Germany DKMS - Greece minority 0.03201,894
 1,083  A*03:02-B*39:01-DRB1*08:02  Israel Argentina Jews 0.03164,307
 1,084  A*24:02-B*39:01-DRB1*09:01  Hong Kong Chinese cord blood registry 0.03153,892
 1,085  A*11:01-B*39:01-DRB1*12:01  Hong Kong Chinese cord blood registry 0.03133,892
 1,086  A*01:01-B*39:01-C*07:02-DRB1*11:04-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 1,087  A*03:01-B*39:01-C*07:02-DRB1*04:03-DQB1*03:02  Germany DKMS - Turkey minority 0.03104,856
 1,088  A*24:02-B*39:01-C*07:02-DRB1*04:05  Japan pop 16 0.031018,604
 1,089  A*24:02-B*39:01-C*12:03-DRB1*08:03-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 1,090  A*26:01-B*39:01-C*05:01-DRB1*16:01-DQB1*05:02  Germany DKMS - Turkey minority 0.03104,856
 1,091  A*26:01-B*39:01-C*07:02-DRB1*08:02  Japan pop 16 0.031018,604
 1,092  A*31:01-B*39:01-C*12:03-DRB1*12:01-DQB1*03:01  Germany DKMS - Turkey minority 0.03104,856
 1,093  A*68:01-B*39:01-C*12:03-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03104,856
 1,094  A*68:01-B*39:01-C*12:03-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03104,856
 1,095  A*11:02-B*39:01-C*07:02-DRB1*08:03  Hong Kong Chinese BMDR 0.03067,595
 1,096  A*31:01-B*39:01-C*12:03-DRB1*12:01-DQB1*03:01-DPB1*04:01  Germany DKMS - German donors 0.03033,456,066
 1,097  A*02:01-B*39:01-DRB1*16:01  Israel USSR Jews 0.030245,681
 1,098  A*02:01-B*39:01-C*03:03-DRB1*14:03-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 1,099  A*02:01-B*39:01-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 1,100  A*02:01-B*39:01-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.03003,078

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 2,375) records   Pages: 11 12 13 14 15 16 17 18 19 20 of 24  


   

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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