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Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
34,801 |
DRB1*15:97 | | Chile Santiago | | 0.0006 | | 920 | See | | |
|
34,802 |
DRB1*15:98 | | Chile Santiago | | 0.0006 | | 920 | See | | |
|
34,803 |
DRB1*15:101 | | India East UCBB | 0.0400 | 0.0002 | | 2,403 | See | | |
|
34,804 |
DRB1*15:107 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
34,805 |
DRB1*15:115N | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
34,806 |
DRB1*15:115N | | USA Arizona Gila River Pima | | 0.0002 | | 3,000 | See | | | |
34,807 |
DRB1*15:118 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
34,808 |
DRB1*15:136 | | Germany DKMS - German donors | | 0 | | 3,456,066 | See | | |
|
34,809 |
DRB1*15:140 | | India Central UCBB | 0.0500 | 0.0002 | | 4,204 | See | | |
|
34,810 |
DRB1*15:140 | | India North UCBB | 0.0200 | 0.0000900 | | 5,849 | See | | |
|
34,811 |
DRB1*15:140 | | India West UCBB | 0.0200 | 0.0000900 | | 5,829 | See | | |
|
34,812 |
DRB1*15:149 | | India Central UCBB | 0.0200 | 0.0001 | | 4,204 | See | | |
|
34,813 |
DRB1*15:149 | | India East UCBB | 0.0800 | 0.0004 | | 2,403 | See | | |
|
34,814 |
DRB1*15:149 | | India South UCBB | 0.0200 | 0.0000900 | | 11,446 | See | | |
|
34,815 |
DRB1*15:149 | | India West UCBB | 0.0200 | 0.0000900 | | 5,829 | See | | |
|
34,816 |
DRB1*15:154N | | India South UCBB | 0.0300 | 0.0001 | | 11,446 | See | | |
|
34,817 |
DRB1*15:155 | | India North UCBB | 0.0200 | 0.0000900 | | 5,849 | See | | |
|
34,818 |
DRB1*16 | | Albania | | 0.1240 | | 160 | See | | | |
34,819 |
DRB1*16 | | Albania pop 2 | 23.6 | 0.1215 | | 432 | See | | | |
34,820 |
DRB1*16 | | Albanian Kosovo | | 0.1375 | | 120 | See | | | |
34,821 |
DRB1*16 | | Argentina Buenos Aires pop 2 | 7.2 | 0.0370 | | 1,216 | See | | | |
34,822 |
DRB1*16 | | Argentina Corrientes | 14.8 | 0.0870 | | 155 | See | | | |
34,823 |
DRB1*16 | | Argentina Cuyo Region | 8.6 | 0.0440 | | 420 | See | | | |
34,824 |
DRB1*16 | | Argentina Kolla | | 0.0600 | | 61 | See | | | |
34,825 |
DRB1*16 | | Argentina La Plata | 2.0 | 0.0080 | | 100 | See | | | |
34,826 |
DRB1*16 | | Argentina Salta Wichi pop 2 | 0.0 | 0 | | 19 | See | | | |
34,827 |
DRB1*16 | | Armenia Ghegharkunik | | 0.0190 | | 242 | See | | | |
34,828 |
DRB1*16 | | Armenia living in Iran | | 0.0060 | | 85 | See | | | |
34,829 |
DRB1*16 | | Armenia living in Karabakh | | 0.0290 | | 445 | See | | | |
34,830 |
DRB1*16 | | Armenia living in Lebanon | | 0.0100 | | 368 | See | | | |
34,831 |
DRB1*16 | | Armenia living in USA | | 0.0210 | | 233 | See | | | |
34,832 |
DRB1*16 | | Armenia Lori | | 0.0150 | | 102 | See | | | |
34,833 |
DRB1*16 | | Armenia Shirak | | 0.0590 | | 76 | See | | | |
34,834 |
DRB1*16 | | Armenia Syunik | | 0.0300 | | 117 | See | | | |
34,835 |
DRB1*16 | | Armenia Yerevan | | 0.0190 | | 445 | See | | | |
34,836 |
DRB1*16 | | Australia West Caucasian | 2.1 | 0.0110 | | 891 | See | | | |
34,837 |
DRB1*16 | | Azores | | 0.0290 | | 1,050 | See | | | |
34,838 |
DRB1*16 | | Azores Terceira Island | | 0.0200 | | 130 | See | | | |
34,839 |
DRB1*16 | | Bangladesh Dhaka Bangalee | | 0.0100 | | 141 | See | | | |
34,840 |
DRB1*16 | | Belarus Brest Region | | 0.0670 | | 105 | See | | | |
34,841 |
DRB1*16 | | Belarus Gomel Region | | 0.0790 | | 100 | See | | | |
34,842 |
DRB1*16 | | Belarus Vitebsk Region | | 0.0450 | | 70 | See | | | |
34,843 |
DRB1*16 | | Bosnia and Herzegovina | | 0.0970 | | 134 | See | | | |
34,844 |
DRB1*16 | | Bosnia and Herzegovina pop 2 | 19.2 | 0.1000 | | 120 | See | | | |
34,845 |
DRB1*16 | | Brazil Curitiba-Parana Mixed | | 0.0475 | | 264 | See | | | |
34,846 |
DRB1*16 | | Brazil Guarani M bya | | 0.3710 | | 93 | See | | | |
34,847 |
DRB1*16 | | Brazil Kaingang | | 0.1250 | | 235 | See | | | |
34,848 |
DRB1*16 | | Brazil Mato Grosso do Sul | | 0.0440 | | 203 | See | | | |
34,849 |
DRB1*16 | | Brazil Minas Gerais State Mixed | 5.8 | 0.0300 | | 1,000 | See | | | |
34,850 |
DRB1*16 | | Brazil North East Mixed | | 0.0470 | | 205 | See | | | |
34,851 |
DRB1*16 | | Brazil Para State | 9.5 | 0.0627 | | 5,000 | See | | |
|
34,852 |
DRB1*16 | | Brazil Parana Afro Brazilian | 3.9 | 0.0190 | | 77 | See | | | |
34,853 |
DRB1*16 | | Brazil Parana Cafuzo | 4.4 | 0.0220 | | 319 | See | | | |
34,854 |
DRB1*16 | | Brazil Parana Caucasian | 6.6 | 0.0330 | | 2,775 | See | | | |
34,855 |
DRB1*16 | | Brazil Parana Mixed race | 5.4 | 0.0270 | | 186 | See | | | |
34,856 |
DRB1*16 | | Brazil Parana Oriental | 6.1 | 0.0300 | | 33 | See | | | |
34,857 |
DRB1*16 | | Brazil Piaui Mixed | | 0.0480 | | 21,943 | See | | | |
34,858 |
DRB1*16 | | Brazil REDOME Acre | | 0.0477 | | 859 | See | | | |
34,859 |
DRB1*16 | | Brazil REDOME Alagoas | | 0.0365 | | 25,349 | See | | | |
34,860 |
DRB1*16 | | Brazil REDOME Amapa | | 0.0647 | | 17,864 | See | | | |
34,861 |
DRB1*16 | | Brazil REDOME Amazonas | | 0.0656 | | 24,129 | See | | | |
34,862 |
DRB1*16 | | Brazil REDOME Bahia | | 0.0287 | | 47,399 | See | | | |
34,863 |
DRB1*16 | | Brazil REDOME Ceara | | 0.0413 | | 101,217 | See | | | |
34,864 |
DRB1*16 | | Brazil REDOME Espirito Santo | | 0.0401 | | 88,485 | See | | | |
34,865 |
DRB1*16 | | Brazil REDOME Federal District | | 0.0350 | | 29,549 | See | | | |
34,866 |
DRB1*16 | | Brazil REDOME Goias | | 0.0318 | | 88,574 | See | | | |
34,867 |
DRB1*16 | | Brazil REDOME Maranhao | | 0.0500 | | 10,180 | See | | | |
34,868 |
DRB1*16 | | Brazil REDOME Mato Grosso | | 0.0375 | | 34,649 | See | | | |
34,869 |
DRB1*16 | | Brazil REDOME Mato Grosso do Sul | | 0.0425 | | 95,667 | See | | | |
34,870 |
DRB1*16 | | Brazil REDOME Minas Gerais | | 0.0312 | | 211,275 | See | | | |
34,871 |
DRB1*16 | | Brazil REDOME Para | | 0.0610 | | 72,637 | See | | | |
34,872 |
DRB1*16 | | Brazil REDOME Paraiba | | 0.0364 | | 43,868 | See | | | |
34,873 |
DRB1*16 | | Brazil REDOME Parana | | 0.0401 | | 341,639 | See | | | |
34,874 |
DRB1*16 | | Brazil REDOME Pernambuco | | 0.0310 | | 92,332 | See | | | |
34,875 |
DRB1*16 | | Brazil REDOME Piaui | | 0.0488 | | 46,140 | See | | | |
34,876 |
DRB1*16 | | Brazil REDOME Rio de Janeiro | | 0.0311 | | 139,322 | See | | | |
34,877 |
DRB1*16 | | Brazil REDOME Rio Grande do Norte | | 0.0356 | | 46,603 | See | | | |
34,878 |
DRB1*16 | | Brazil REDOME Rio Grande do Sul | | 0.0372 | | 241,329 | See | | | |
34,879 |
DRB1*16 | | Brazil REDOME Rondonia | | 0.0395 | | 54,396 | See | | | |
34,880 |
DRB1*16 | | Brazil REDOME Roraima | | 0.0585 | | 4,140 | See | | | |
34,881 |
DRB1*16 | | Brazil REDOME Santa Catarina | | 0.0365 | | 106,673 | See | | | |
34,882 |
DRB1*16 | | Brazil REDOME Sao Paulo | | 0.0391 | | 800,809 | See | | | |
34,883 |
DRB1*16 | | Brazil REDOME Sergipe | | 0.0305 | | 7,321 | See | | | |
34,884 |
DRB1*16 | | Brazil REDOME Tocantins | | 0.0430 | | 20,692 | See | | | |
34,885 |
DRB1*16 | | Brazil Rio Grande do Norte Mestizo | | 0.0360 | | 12,973 | See | | | |
34,886 |
DRB1*16 | | Brazil Rio Grande do Sul Black | | 0.0400 | | 248 | See | | | |
34,887 |
DRB1*16 | | Brazil Rio Grande do Sul Caucasoid | | 0.0350 | | 4,428 | See | | | |
34,888 |
DRB1*16 | | Brazil Rio Grande do Sul Mixed | | 0.0410 | | 324 | See | | | |
34,889 |
DRB1*16 | | Brazil Sao Paulo Bauru Mixed | | 0.0410 | | 3,542 | See | | | |
34,890 |
DRB1*16 | | Brazil Sao Paulo Mixed | 6.3 | 0.0320 | | 239 | See | | | |
34,891 |
DRB1*16 | | Brazil South East Cord Blood | | 0.0343 | | 11,409 | See | | |
|
34,892 |
DRB1*16 | | Brazil South Ribeirao Preto | | 0.0160 | | 184 | See | | | |
34,893 |
DRB1*16 | | Brazil Southeast Campinas Mixed | 3.0 | 0.0151 | | 99 | See | | | |
34,894 |
DRB1*16 | | Burkina Faso Fulani | | 0 | | 49 | See | | | |
34,895 |
DRB1*16 | | Burkina Faso Mossi | | 0.0200 | | 53 | See | | | |
34,896 |
DRB1*16 | | Burkina Faso Rimaibe | | 0 | | 47 | See | | | |
34,897 |
DRB1*16 | | China Beijing and Guangzhou | | 0.0510 | | 1,592 | See | | | |
34,898 |
DRB1*16 | | China Guangdong Province | 8.7 | 0.0444 | | 403 | See | | | |
34,899 |
DRB1*16 | | China Han | 6.7 | 0.0340 | | 314 | See | | | |
34,900 |
DRB1*16 | | China Jiangsu Province | | 0.0150 | | 20,248 | See | | | |
Notes:
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
Important: This field has been expanded to four decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
* % of individuals that have the allele: Percentage of individuals who have the allele in the population (Individuals / n).
* Allele Frequencies shown in
green were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
AF = 1-square_root(1-PF)
PF = 1-(1-AF)
2
AF = Allele Frequency; PF = Phenotype Frequency, i.e. (%) of the individuals carrying the allele.
* Allele Frequencies marked with (*) were calculated from all alleles in the corresponding
G group.
¹ IMGT/HLA Database - For more details of the allele.
² Distribution - Graphical distribution of the allele.
³ Haplotype Association - Find HLA haplotypes with this allele.
ª Notes - See notes for ambiguous combinations of alleles.