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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 |
140,901 |
DRB1*13:14 | | USA NMDP Korean | | 0.0000130 | | 77,584 | See | | | |
140,902 |
DRB1*13:14 | | USA NMDP Middle Eastern or North Coast of Africa | | 0.0000140 | | 70,890 | See | | | |
140,903 |
DRB1*13:14 | | USA NMDP South Asian Indian | | 0.0000220 | | 185,391 | See | | | |
140,904 |
DRB1*13:14 | | USA Philadelphia Caucasian | 0.0 | 0 | | 141 | See | | | |
140,905 |
DRB1*13:14 | | USA San Antonio Caucasian | | 0.0023 | | 222 | See | | | |
140,906 |
DRB1*13:14 | | USA South Texas Hispanic | | 0 | | 194 | See | | | |
140,907 |
DRB1*13:14:01 | | Brazil Rio de Janeiro Caucasian | | 0.0010 | | 521 | See | | |
|
140,908 |
DRB1*13:14:01 | | Bulgaria | | 0 | | 55 | See | | | |
140,909 |
DRB1*13:14:01 | | France West | 0.0 | 0 | | 100 | See | | | |
140,910 |
DRB1*13:14:01 | | Macedonia pop 1 | | 0 | | 158 | See | | | |
140,911 |
DRB1*13:14:01 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
140,912 |
DRB1*13:14:01 | | South Korea pop 3 | | 0 | | 485 | See | | | |
140,913 |
DRB1*13:14:01 | | USA Spain Ancestry | | 0.0020 | | 279 | See | | | |
140,914 |
DRB1*13:14:02 | | Bulgaria | | 0 | | 55 | See | | | |
140,915 |
DRB1*13:14:02 | | France West | 0.0 | 0 | | 100 | See | | | |
140,916 |
DRB1*13:14:02 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0 | 0.0000900 | | 5,266 | See | | |
|
140,917 |
DRB1*13:14:02 | | Macedonia pop 1 | | 0 | | 158 | See | | | |
140,918 |
DRB1*13:14:02 | | Poland BMR | 0.0042 | 0.0000210 | | 23,595 | See | | |
|
140,919 |
DRB1*13:14:02 | | South Korea pop 3 | | 0 | | 485 | See | | | |
140,920 |
DRB1*13:15 | | Argentina Chubut Tehuelche | | 0 | | 23 | See | | | |
140,921 |
DRB1*13:15 | | Argentina Rio Negro Mapuche | | 0 | | 34 | See | | | |
140,922 |
DRB1*13:15 | | Argentina Salta Wichi | | 0 | | 24 | See | | | |
140,923 |
DRB1*13:15 | | Austria | 0.5 | 0.0020 | | 200 | See | | | |
140,924 |
DRB1*13:15 | | Brazil Guarani M bya | | 0 | | 93 | See | | | |
140,925 |
DRB1*13:15 | | Brazil Kaingang | | 0 | | 235 | See | | | |
140,926 |
DRB1*13:15 | | Brazil North East Mixed | | 0 | | 205 | See | | | |
140,927 |
DRB1*13:15 | | Brazil Southeast Caucasian | 0.0 | 0 | | 103 | See | | | |
140,928 |
DRB1*13:15 | | Brazil Southeast Mixed Race | 0.0 | 0 | | 42 | See | | | |
140,929 |
DRB1*13:15 | | Bulgaria | | 0.0090 | | 55 | See | | | |
140,930 |
DRB1*13:15 | | Central African Republic Aka Pygmy | 0.0 | 0 | | 93 | See | | | |
140,931 |
DRB1*13:15 | | China Beijing Shijiazhuang Tianjian Han | | 0.0010 | | 618 | See | | | |
140,932 |
DRB1*13:15 | | China Urumqi Uyghur | 0.0 | 0 | | 57 | See | | | |
140,933 |
DRB1*13:15 | | Colombia Bogota and Medellin Mestizo | | 0 | | 65 | See | | | |
140,934 |
DRB1*13:15 | | Congo Kinshasa Bantu | 0.0 | 0 | | 90 | See | | | |
140,935 |
DRB1*13:15 | | Croatia pop 4 | | 0.0001 | | 4,000 | See | | | |
140,936 |
DRB1*13:15 | | Czech Republic | | 0 | | 106 | See | | | |
140,937 |
DRB1*13:15 | | Czech Republic NMDR | | 0.0001 | | 5,099 | See | | | |
140,938 |
DRB1*13:15 | | France West | 0.0 | 0 | | 100 | See | | | |
140,939 |
DRB1*13:15 | | Georgia Svaneti Region Svan | | 0.0060 | | 80 | See | | | |
140,940 |
DRB1*13:15 | | Germany DKMS - Croatia minority | | 0.0002 | | 2,057 | See | | | |
140,941 |
DRB1*13:15 | | Germany DKMS - German donors | | 0.0000660 | | 3,456,066 | See | | |
|
140,942 |
DRB1*13:15 | | Germany pop 6 | | 0.0000600 | | 8,862 | See | | | |
140,943 |
DRB1*13:15 | | Germany pop 8 | | 0.0000600 | | 39,689 | See | | | |
140,944 |
DRB1*13:15 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
140,945 |
DRB1*13:15 | | Israel Kavkazi Jews | | 0.0002 | | 2,840 | See | | |
|
140,946 |
DRB1*13:15 | | Israel USSR Jews | | 0.0000440 | | 45,681 | See | | |
|
140,947 |
DRB1*13:15 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
140,948 |
DRB1*13:15 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
140,949 |
DRB1*13:15 | | Italy pop 5 | | 0 | | 975 | See | | | |
140,950 |
DRB1*13:15 | | Italy Rome | 0.0 | 0 | | 100 | See | | | |
140,951 |
DRB1*13:15 | | Macedonia pop 1 | | 0 | | 158 | See | | | |
140,952 |
DRB1*13:15 | | Mexico Highlands Mestizos | 0.0 | 0 | | 160 | See | | | |
140,953 |
DRB1*13:15 | | Mexico Nuevo Leon Mestizo | 0.0 | 0 | | 40 | See | | | |
140,954 |
DRB1*13:15 | | Morocco Nador Metalsa | | 0 | | 99 | See | | | |
140,955 |
DRB1*13:15 | | Morocco Settat Chaouya | | 0 | | 98 | See | | | |
140,956 |
DRB1*13:15 | | Netherlands Leiden | | 0 | | 1,305 | See | | | |
140,957 |
DRB1*13:15 | | Paraguay Lengua | | 0 | | 17 | See | | | |
140,958 |
DRB1*13:15 | | Poland BMR | 0.0720 | 0.0004 | | 23,595 | See | | |
|
140,959 |
DRB1*13:15 | | Poland DKMS | | 0.0004 | | 20,653 | See | | | |
140,960 |
DRB1*13:15 | | Russia Karelia | | 0.0005 | | 1,075 | See | | |
|
140,961 |
DRB1*13:15 | | Russia Nizhny Novgorod, Russians | 0.0662 | 0.0003 | | 1,510 | See | | |
|
140,962 |
DRB1*13:15 | | South Korea pop 3 | | 0 | | 485 | See | | | |
140,963 |
DRB1*13:15 | | Spain Barcelona | 0.0 | 0 | | 941 | See | | | |
140,964 |
DRB1*13:15 | | Spain Murcia | | 0 | | 173 | See | | | |
140,965 |
DRB1*13:15 | | Switzerland Aargau-Solothurn | | 0 | | 1,838 | See | | | |
140,966 |
DRB1*13:15 | | Switzerland Basel | | 0 | | 1,888 | See | | | |
140,967 |
DRB1*13:15 | | Switzerland Bern | | 0.0002 | | 3,545 | See | | | |
140,968 |
DRB1*13:15 | | Switzerland Geneva pop 2 | | 0 | | 1,267 | See | | | |
140,969 |
DRB1*13:15 | | Switzerland Graubunden | | 0 | | 759 | See | | | |
140,970 |
DRB1*13:15 | | Switzerland Lausanne | | 0 | | 993 | See | | | |
140,971 |
DRB1*13:15 | | Switzerland Lugano | | 0 | | 1,169 | See | | | |
140,972 |
DRB1*13:15 | | Switzerland Luzern | | 0 | | 1,553 | See | | | |
140,973 |
DRB1*13:15 | | Switzerland Sion | | 0 | | 832 | See | | | |
140,974 |
DRB1*13:15 | | Switzerland St Gallen | | 0 | | 2,113 | See | | | |
140,975 |
DRB1*13:15 | | Switzerland Zurich | | 0 | | 4,875 | See | | | |
140,976 |
DRB1*13:15 | | USA African American Bethesda | 0.0 | 0 | | 187 | See | | | |
140,977 |
DRB1*13:15 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
140,978 |
DRB1*13:15 | | USA Caucasian | 0.0 | 0 | | 61,655 | See | | | |
140,979 |
DRB1*13:15 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
140,980 |
DRB1*13:15 | | USA Caucasian Houston | 0.0 | 0 | | 194 | See | | | |
140,981 |
DRB1*13:15 | | USA Caucasian Pittsburgh | 0.0 | 0 | | 177 | See | | | |
140,982 |
DRB1*13:15 | | USA NMDP African American pop 2 | | 0.0000020 | | 416,581 | See | | | |
140,983 |
DRB1*13:15 | | USA NMDP Caribean Hispanic | | 0.0000040 | | 115,374 | See | | | |
140,984 |
DRB1*13:15 | | USA NMDP European Caucasian | | 0.0000290 | | 1,242,890 | See | | | |
140,985 |
DRB1*13:15 | | USA NMDP Korean | | 0.0000030 | | 77,584 | See | | | |
140,986 |
DRB1*13:15 | | USA NMDP Middle Eastern or North Coast of Africa | | 0.0000420 | | 70,890 | See | | | |
140,987 |
DRB1*13:15 | | USA NMDP Southeast Asian | | 0.0000200 | | 27,978 | See | | | |
140,988 |
DRB1*13:15 | | USA Philadelphia Caucasian | 0.0 | 0 | | 141 | See | | | |
140,989 |
DRB1*13:15 | | USA San Antonio Caucasian | | 0 | | 222 | See | | | |
140,990 |
DRB1*13:15 | | USA South Texas Hispanic | | 0 | | 194 | See | | | |
140,991 |
DRB1*13:16 | | Argentina Chubut Tehuelche | | 0 | | 23 | See | | | |
140,992 |
DRB1*13:16 | | Argentina Rio Negro Mapuche | | 0 | | 34 | See | | | |
140,993 |
DRB1*13:16 | | Argentina Salta Wichi | | 0 | | 24 | See | | | |
140,994 |
DRB1*13:16 | | Brazil Guarani M bya | | 0 | | 93 | See | | | |
140,995 |
DRB1*13:16 | | Brazil Kaingang | | 0 | | 235 | See | | | |
140,996 |
DRB1*13:16 | | Brazil North East Mixed | | 0 | | 205 | See | | | |
140,997 |
DRB1*13:16 | | Brazil Rio de Janeiro Parda | | 0.0030 | | 170 | See | | |
|
140,998 |
DRB1*13:16 | | Brazil Southeast Caucasian | 0.0 | 0 | | 103 | See | | | |
140,999 |
DRB1*13:16 | | Brazil Southeast Mixed Race | 0.0 | 0 | | 42 | See | | | |
141,000 |
DRB1*13:16 | | Bulgaria | | 0 | | 55 | 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.