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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 |
138,801 |
DRB1*12:02 | | Malaysia Jelebu Temuan | | 0.1460 | | 25 | See | | | |
138,802 |
DRB1*12:02 | | Malaysia Kedah Baling Kensiu | | 0.0800 | | 25 | See | | | |
138,803 |
DRB1*12:02 | | Malaysia Kedah Kensiu | 28.6 | 0.1430 | | 21 | See | | |
|
138,804 |
DRB1*12:02 | | Malaysia Kelantan | 53.6 | 0.3210 | | 28 | See | | |
|
138,805 |
DRB1*12:02 | | Malaysia Mandailing | 55.6 | 0.3150 | | 27 | See | | |
|
138,806 |
DRB1*12:02 | | Malaysia Pahang Semai | 50.0 | 0.2890 | | 38 | See | | |
|
138,807 |
DRB1*12:02 | | Malaysia Patani | 36.0 | 0.2200 | | 25 | See | | |
|
138,808 |
DRB1*12:02 | | Malaysia Peninsular Chinese | 8.8 | 0.0516 | | 194 | See | | |
|
138,809 |
DRB1*12:02 | | Malaysia Peninsular Indian | 4.1 | 0.0203 | | 271 | See | | |
|
138,810 |
DRB1*12:02 | | Malaysia Peninsular Malay | 26.8 | 0.1572 | | 951 | See | | |
|
138,811 |
DRB1*12:02 | | Malaysia Perak Grik Jehai | | 0.1400 | | 25 | See | | | |
138,812 |
DRB1*12:02 | | Malaysia Sabah Dusun | | 0.0100 | | 48 | See | | | |
138,813 |
DRB1*12:02 | | Malaysia Sabah Kadazan | | 0.0260 | | 57 | See | | | |
138,814 |
DRB1*12:02 | | Malaysia Sarawak Bau Bidayuh | | 0.2600 | | 25 | See | | | |
138,815 |
DRB1*12:02 | | Malaysia Sarawak Bidayuh | | 0.3100 | | 50 | See | | | |
138,816 |
DRB1*12:02 | | Malaysia Sarawak Iban | | 0.2350 | | 51 | See | | | |
138,817 |
DRB1*12:02 | | Martinique | | 0.0100 | | 100 | See | | | |
138,818 |
DRB1*12:02 | | Mexico Highlands Mestizos | 0.0 | 0 | | 160 | See | | | |
138,819 |
DRB1*12:02 | | Mexico Jaltepec Mazahuas | | 0.0200 | | 50 | See | | |
|
138,820 |
DRB1*12:02 | | Mexico Mazahua | | 0.0200 | | 65 | See | | |
|
138,821 |
DRB1*12:02 | | Mexico Mexico City Mestizo pop 2 | | 0.0064 | | 234 | See | | | |
138,822 |
DRB1*12:02 | | Mexico Mexico City Mestizo population | | 0.0035 | | 143 | See | | |
|
138,823 |
DRB1*12:02 | | Mexico Nuevo Leon Mestizo | 0.0 | 0 | | 40 | See | | | |
138,824 |
DRB1*12:02 | | Mongolia Hoton | | 0.0120 | | 85 | See | | | |
138,825 |
DRB1*12:02 | | Mongolia Khalkha | | 0.0450 | | 200 | See | | | |
138,826 |
DRB1*12:02 | | Mongolia Khalkha pop 2 | | 0.0300 | | 202 | See | | | |
138,827 |
DRB1*12:02 | | Mongolia Oold | | 0.0190 | | 104 | See | | | |
138,828 |
DRB1*12:02 | | Mongolia Tarialan Khoton | | 0.0120 | | 85 | See | | | |
138,829 |
DRB1*12:02 | | Mongolia Tsaatan | | 0 | | 144 | See | | | |
138,830 |
DRB1*12:02 | | Mongolia Ulaanbaatar Khalkha | | 0.0370 | | 41 | See | | | |
138,831 |
DRB1*12:02 | | Nauru | | 0.2840 | | 67 | See | | | |
138,832 |
DRB1*12:02 | | Netherlands | 0.9 | 0.0045 | | 447 | See | | | |
138,833 |
DRB1*12:02 | | Netherlands Leiden | | 0.0020 | | 1,305 | See | | | |
138,834 |
DRB1*12:02 | | Niue | | 0.0140 | | 70 | See | | | |
138,835 |
DRB1*12:02 | | Panama | | 0.0013 | | 462 | See | | |
|
138,836 |
DRB1*12:02 | | Papua New Guinea East New Britain Tolai | | 0 | | 48 | See | | | |
138,837 |
DRB1*12:02 | | Papua New Guinea Highland | | 0.0060 | | 94 | See | | | |
138,838 |
DRB1*12:02 | | Papua New Guinea Highland pop2 | | 0 | | 28 | See | | | |
138,839 |
DRB1*12:02 | | Papua New Guinea Lowland | | 0.0390 | | 47 | See | | | |
138,840 |
DRB1*12:02 | | Papua New Guinea Lowland Roro | | 0 | | 26 | See | | | |
138,841 |
DRB1*12:02 | | Papua New Guinea Lowland Wosera | | 0 | | 79 | See | | | |
138,842 |
DRB1*12:02 | | Papua New Guinea South Gidra | | 0.0390 | | 192 | See | | | |
138,843 |
DRB1*12:02 | | Papua New Guinea Trobriand Island | | 0.0180 | | 81 | See | | | |
138,844 |
DRB1*12:02 | | Paraguay Lengua | | 0 | | 17 | See | | | |
138,845 |
DRB1*12:02 | | Philippines | | 0.1910 | | 34 | See | | | |
138,846 |
DRB1*12:02 | | Poland DKMS | | 0.0003 | | 20,653 | See | | | |
138,847 |
DRB1*12:02 | | Poland Wielkopolska Region | | 0.0050 | | 99 | See | | | |
138,848 |
DRB1*12:02 | | Russia Karelia | | 0.0014 | | 1,075 | See | | |
|
138,849 |
DRB1*12:02 | | Russia Siberia Chukchi | | 0.0080 | | 71 | See | | | |
138,850 |
DRB1*12:02 | | Russia Siberia Eskimo | | 0 | | 70 | See | | | |
138,851 |
DRB1*12:02 | | Russia Siberia Irkutsk Tofalar | | 0 | | 43 | See | | | |
138,852 |
DRB1*12:02 | | Russia Siberia Khabarovsk Evenki | | 0 | | 25 | See | | | |
138,853 |
DRB1*12:02 | | Russia Siberia Khanty Mansi | | 0 | | 68 | See | | | |
138,854 |
DRB1*12:02 | | Russia Siberia Kushun Buryat | | 0.0200 | | 25 | See | | | |
138,855 |
DRB1*12:02 | | Russia Siberia Negidal | | 0 | | 35 | See | | | |
138,856 |
DRB1*12:02 | | Russia Siberia Ulchi | | 0 | | 73 | See | | | |
138,857 |
DRB1*12:02 | | Russia Transbaikal Territory Buryats | 7.0 | 0.0370 | | 150 | See | | |
|
138,858 |
DRB1*12:02 | | Russia Tuva | | 0.0200 | | 190 | See | | | |
138,859 |
DRB1*12:02 | | Russia Tuva pop 2 | | 0.0110 | | 169 | See | | | |
138,860 |
DRB1*12:02 | | Russia Tuva pop3 | | 0.0110 | | 44 | See | | | |
138,861 |
DRB1*12:02 | | Russia Tuva Todja | | 0 | | 22 | See | | | |
138,862 |
DRB1*12:02 | | Rwanda Kigali Hutu and Tutsi | | 0.0020 | | 281 | See | | | |
138,863 |
DRB1*12:02 | | Samoa | | 0 | | 29 | See | | | |
138,864 |
DRB1*12:02 | | Samoa West | | 0 | | 22 | See | | | |
138,865 |
DRB1*12:02 | | Sao Tome Island Angolar | | 0.0160 | | 32 | See | | | |
138,866 |
DRB1*12:02 | | Sao Tome Island Forro | | 0 | | 66 | See | | | |
138,867 |
DRB1*12:02 | | Saudi Arabia Guraiat and Hail | 0.5 | 0.0020 | | 213 | See | | | |
138,868 |
DRB1*12:02 | | Saudi Arabia pop 6 (G) | | 0.0062 (*) | | 28,927 | See | | | |
138,869 |
DRB1*12:02 | | Singapore Riau Malay | | 0.3240 | | 132 | See | | | |
138,870 |
DRB1*12:02 | | Singapore SGVP Chinese CHS | | 0.1500 | | 96 | See | | |
|
138,871 |
DRB1*12:02 | | Singapore SGVP Malay MAS | | 0.2310 | | 89 | See | | |
|
138,872 |
DRB1*12:02 | | Singapore SGVP. Indian INS | | 0 | | 86 | See | | |
|
138,873 |
DRB1*12:02 | | Slovenia | 1.0 | 0.0050 | | 100 | See | | | |
138,874 |
DRB1*12:02 | | South Africa Caucasians | | 0.0050 | | 102 | See | | | |
138,875 |
DRB1*12:02 | | South Africa Worcester | 5.0 | 0.0250 | | 159 | See | | |
|
138,876 |
DRB1*12:02 | | South Korea pop 1 | | 0.0250 | | 324 | See | | | |
138,877 |
DRB1*12:02 | | South Korea pop 10 | | 0.0334 | | 4,128 | See | | | |
138,878 |
DRB1*12:02 | | South Korea pop 11 | | 0.0470 | | 149 | See | | | |
138,879 |
DRB1*12:02 | | South Korea pop 2 | 9.2 | 0.0460 | | 207 | See | | | |
138,880 |
DRB1*12:02 | | South Korea pop 3 | | 0.0330 | | 485 | See | | | |
138,881 |
DRB1*12:02 | | South Korea pop 4 | 7.6 | 0.0387 | | 211 | See | | | |
138,882 |
DRB1*12:02 | | South Korea pop 6 | | 0.0300 | | 800 | See | | | |
138,883 |
DRB1*12:02 | | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.0900 | 0.0005 | | 4,335 | See | | |
|
138,884 |
DRB1*12:02 | | Spain Andalusia | | 0.0050 | | 99 | See | | | |
138,885 |
DRB1*12:02 | | Spain Barcelona | 0.2 | 0.0010 | | 941 | See | | | |
138,886 |
DRB1*12:02 | | Spain Granada | | 0.0040 | | 280 | See | | | |
138,887 |
DRB1*12:02 | | Spain Murcia | | 0 | | 173 | See | | | |
138,888 |
DRB1*12:02 | | Sri Lanka Colombo | 6.6 | 0.0340 | | 714 | See | | |
|
138,889 |
DRB1*12:02 | | Taiwan Aborigine pop 2 | | 0.1250 | | 48 | See | | | |
138,890 |
DRB1*12:02 | | Taiwan Han Chinese | | 0.0860 | | 504 | See | | | |
138,891 |
DRB1*12:02 | | Taiwan pop 2 | | 0.0970 | | 364 | See | | | |
138,892 |
DRB1*12:02 | | Taiwan pop1 | | 0.1130 | | 539 | See | | | |
138,893 |
DRB1*12:02 | | Taiwan Tzu Chi Cord Blood Bank | | 0.1010 | | 710 | See | | | |
138,894 |
DRB1*12:02 | | Thailand | | 0.1510 | | 142 | See | | | |
138,895 |
DRB1*12:02 | | Thailand Bangkok pop 2 | | 0.1400 | | 50 | See | | | |
138,896 |
DRB1*12:02 | | Thailand Bangkok pop 3 | | 0.1870 | | 187 | See | | | |
138,897 |
DRB1*12:02 | | Thailand Kamphaeng Phet | | 0.1750 | | 97 | See | | | |
138,898 |
DRB1*12:02 | | Thailand North Dai Lue | | 0.0680 | | 96 | See | | | |
138,899 |
DRB1*12:02 | | Thailand Northeast | | 0.1510 | | 66 | See | | | |
138,900 |
DRB1*12:02 | | Thailand Northeast pop 2 | | 0.1340 | | 400 | 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.