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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 |
| 161,901 |
DRB1*16:02 |  | Papua New Guinea Eastern Highlands Goroka Asaro | | 0.0350 |  | 57 | See |  |  | |
| 161,902 |
DRB1*16:02 |  | Papua New Guinea Highland | | 0.0290 |  | 94 | See |  |  | |
| 161,903 |
DRB1*16:02 |  | Papua New Guinea Highland pop2 | | 0.0180 |  | 28 | See |  |  | |
| 161,904 |
DRB1*16:02 |  | Papua New Guinea Iamega | | 0.1330 |  | 79 | See |  |  | |
| 161,905 |
DRB1*16:02 |  | Papua New Guinea Kapal | | 0.1080 |  | 65 | See |  |  | |
| 161,906 |
DRB1*16:02 |  | Papua New Guinea Kuru | | 0.0980 |  | 46 | See |  |  | |
| 161,907 |
DRB1*16:02 |  | Papua New Guinea Lowland | | 0 |  | 47 | See |  |  | |
| 161,908 |
DRB1*16:02 |  | Papua New Guinea Lowland Roro | | 0.2120 |  | 26 | See |  |  | |
| 161,909 |
DRB1*16:02 |  | Papua New Guinea Lowland Wosera | | 0.2880 |  | 79 | See |  |  | |
| 161,910 |
DRB1*16:02 |  | Papua New Guinea Madang | | 0.1460 |  | 65 | See |  |  | |
| 161,911 |
DRB1*16:02 |  | Papua New Guinea Podare | | 0.1050 |  | 43 | See |  |  | |
| 161,912 |
DRB1*16:02 |  | Papua New Guinea Rual | | 0.1100 |  | 50 | See |  |  | |
| 161,913 |
DRB1*16:02 |  | Papua New Guinea South Gidra | | 0.1620 |  | 192 | See |  |  | |
| 161,914 |
DRB1*16:02 |  | Papua New Guinea Trobriand Island | | 0.0430 |  | 81 | See |  |  | |
| 161,915 |
DRB1*16:02 |  | Papua New Guinea Ume | | 0.1330 |  | 90 | See |  |  | |
| 161,916 |
DRB1*16:02 |  | Papua New Guinea Wipim | | 0.1090 |  | 55 | See |  |  | |
| 161,917 |
DRB1*16:02 |  | Papua New Guinea Woigi | | 0.0190 |  | 26 | See |  |  | |
| 161,918 |
DRB1*16:02 |  | Papua New Guinea Wonie | | 0.1960 |  | 51 | See |  |  | |
| 161,919 |
DRB1*16:02 |  | Papua New Guinea Wuroi | | 0.1320 |  | 34 | See |  |  | |
| 161,920 |
DRB1*16:02 |  | Paraguay Aché | | 0 |  | 87 | See |  |  | |
| 161,921 |
DRB1*16:02 |  | Paraguay Lengua | | 0.0590 |  | 17 | See |  |  | |
| 161,922 |
DRB1*16:02 |  | Peru Lamas City Lama | | 0.0300 |  | 83 | See |  |  | |
| 161,923 |
DRB1*16:02 |  | Peru Quechua | | 0.0570 |  | 44 | See |  |  | |
| 161,924 |
DRB1*16:02 |  | Philippines | | 0 |  | 34 | See |  |  | |
| 161,925 |
DRB1*16:02 |  | Poland DKMS | | 0.0013 |  | 20,653 | See |  |  | |
| 161,926 |
DRB1*16:02 |  | Portugal Center | | 0.0100 |  | 50 | See |  |  | |
| 161,927 |
DRB1*16:02 |  | Portugal North | | 0 |  | 46 | See |  |  | |
| 161,928 |
DRB1*16:02 |  | Portugal South | | 0 |  | 49 | See |  |  | |
| 161,929 |
DRB1*16:02 |  | Russia Karelia | | 0.0024 |  | 1,075 | See |  |  |
|
| 161,930 |
DRB1*16:02 |  | Russia Northwest Slavic | | 0.0130 |  | 200 | See |  |  | |
| 161,931 |
DRB1*16:02 |  | Russia Siberia Chukchi | | 0.0250 |  | 71 | See |  |  | |
| 161,932 |
DRB1*16:02 |  | Russia Siberia Chukotka Peninsula Chukchi | | 0.0200 |  | 59 | See |  |  | |
| 161,933 |
DRB1*16:02 |  | Russia Siberia Chukotka Peninsula Eskimo | | 0.0700 |  | 80 | See |  |  | |
| 161,934 |
DRB1*16:02 |  | Russia Siberia Eskimo | | 0.0370 |  | 70 | See |  |  | |
| 161,935 |
DRB1*16:02 |  | Russia Siberia Gvaysugi Udege | | 0 |  | 25 | See |  |  | |
| 161,936 |
DRB1*16:02 |  | Russia Siberia Irkutsk Tofalar | | 0 |  | 43 | See |  |  | |
| 161,937 |
DRB1*16:02 |  | Russia Siberia Khabarovsk Evenki | | 0 |  | 25 | See |  |  | |
| 161,938 |
DRB1*16:02 |  | Russia Siberia Khanty Mansi | | 0 |  | 68 | See |  |  | |
| 161,939 |
DRB1*16:02 |  | Russia Siberia Kushun Buryat | | 0 |  | 25 | See |  |  | |
| 161,940 |
DRB1*16:02 |  | Russia Siberia Negidal | | 0.0140 |  | 35 | See |  |  | |
| 161,941 |
DRB1*16:02 |  | Russia Siberia North East Kamchatka Koryak | | 0 |  | 92 | See |  |  | |
| 161,942 |
DRB1*16:02 |  | Russia Siberia NW of Sakhalin Island Nivkh | | 0 |  | 32 | See |  |  | |
| 161,943 |
DRB1*16:02 |  | Russia Siberia Polygus Evenk | | 0 |  | 35 | See |  |  | |
| 161,944 |
DRB1*16:02 |  | Russia Siberia Sulamai Ket | | 0 |  | 22 | See |  |  | |
| 161,945 |
DRB1*16:02 |  | Russia Siberia Ulchi | | 0 |  | 73 | See |  |  | |
| 161,946 |
DRB1*16:02 |  | Russia Transbaikal Territory Buryats | 1.0 | 0.0030 |  | 150 | See |  |  |
|
| 161,947 |
DRB1*16:02 |  | Russia Tuva pop3 | | 0.0110 |  | 44 | See |  |  | |
| 161,948 |
DRB1*16:02 |  | Russia Tuva Todja | | 0 |  | 22 | See |  |  | |
| 161,949 |
DRB1*16:02 |  | Rwanda | | 0.0020 |  | 280 | See |  |  | |
| 161,950 |
DRB1*16:02 |  | Rwanda Kigali Hutu and Tutsi | | 0.0020 |  | 281 | See |  |  | |
| 161,951 |
DRB1*16:02 |  | Samoa | | 0 |  | 29 | See |  |  | |
| 161,952 |
DRB1*16:02 |  | Samoa West | | 0 |  | 22 | See |  |  | |
| 161,953 |
DRB1*16:02 |  | Sao Tome Island Angolar | | 0 |  | 32 | See |  |  | |
| 161,954 |
DRB1*16:02 |  | Sao Tome Island Forro | | 0.0450 |  | 66 | See |  |  | |
| 161,955 |
DRB1*16:02 |  | Saudi Arabia Guraiat and Hail | 0.5 | 0.0020 |  | 213 | See |  |  | |
| 161,956 |
DRB1*16:02 |  | Singapore Riau Malay | | 0.0280 |  | 132 | See |  |  | |
| 161,957 |
DRB1*16:02 |  | Singapore SGVP Chinese CHS | | 0.2000 |  | 96 | See |  |  |
|
| 161,958 |
DRB1*16:02 |  | Singapore SGVP Malay MAS | | 0.2690 |  | 89 | See |  |  |
|
| 161,959 |
DRB1*16:02 |  | Singapore SGVP. Indian INS | | 0 |  | 86 | See |  |  |
|
| 161,960 |
DRB1*16:02 |  | Slovenia | 1.0 | 0.0050 |  | 100 | See |  |  | |
| 161,961 |
DRB1*16:02 |  | Slovenia pop 2 | 1.4 | 0.0070 |  | 140 | See |  |  | |
| 161,962 |
DRB1*16:02 |  | South Africa Caucasians | | 0 |  | 102 | See |  |  | |
| 161,963 |
DRB1*16:02 |  | South Africa Worcester | 1.0 | 0.0030 |  | 159 | See |  |  |
|
| 161,964 |
DRB1*16:02 |  | South Korea pop 1 | | 0.0150 |  | 324 | See |  |  | |
| 161,965 |
DRB1*16:02 |  | South Korea pop 10 | | 0.0111 |  | 4,128 | See |  |  | |
| 161,966 |
DRB1*16:02 |  | South Korea pop 11 | | 0.0130 |  | 149 | See |  |  | |
| 161,967 |
DRB1*16:02 |  | South Korea pop 2 | 0.0 | 0 |  | 207 | See |  |  | |
| 161,968 |
DRB1*16:02 |  | South Korea pop 3 | | 0.0060 |  | 485 | See |  |  | |
| 161,969 |
DRB1*16:02 |  | South Korea pop 4 | 2.8 | 0.0141 |  | 211 | See |  |  | |
| 161,970 |
DRB1*16:02 |  | South Korea pop 6 | | 0.0090 |  | 800 | See |  |  | |
| 161,971 |
DRB1*16:02 |  | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 0.7 | 0.0036 |  | 4,335 | See |  |  |
|
| 161,972 |
DRB1*16:02 |  | Spain Andalusia Romani | | 0.0100 |  | 99 | See |  |  | |
| 161,973 |
DRB1*16:02 |  | Spain Barcelona | 1.0 | 0.0050 |  | 941 | See |  |  | |
| 161,974 |
DRB1*16:02 |  | Spain Murcia | | 0 |  | 173 | See |  |  | |
| 161,975 |
DRB1*16:02 |  | Sri Lanka Colombo | 1.4 | 0.0070 |  | 714 | See |  |  |
|
| 161,976 |
DRB1*16:02 |  | Sudan Mixed | 1.5 | 0.0080 |  | 200 | See |  |  | |
| 161,977 |
DRB1*16:02 |  | Taiwan Aborigine pop 2 | | 0.0100 |  | 48 | See |  |  | |
| 161,978 |
DRB1*16:02 |  | Taiwan Han Chinese | | 0.0480 |  | 504 | See |  |  | |
| 161,979 |
DRB1*16:02 |  | Taiwan pop 2 | | 0.0240 |  | 364 | See |  |  | |
| 161,980 |
DRB1*16:02 |  | Taiwan pop1 | | 0.0580 |  | 539 | See |  |  | |
| 161,981 |
DRB1*16:02 |  | Taiwan Tzu Chi Cord Blood Bank | | 0.0570 |  | 710 | See |  |  | |
| 161,982 |
DRB1*16:02 |  | Thailand | | 0.0450 |  | 142 | See |  |  | |
| 161,983 |
DRB1*16:02 |  | Thailand Bangkok pop 3 | | 0.0430 |  | 187 | See |  |  | |
| 161,984 |
DRB1*16:02 |  | Thailand Kamphaeng Phet | | 0.0670 |  | 97 | See |  |  | |
| 161,985 |
DRB1*16:02 |  | Thailand North Dai Lue | | 0.1410 |  | 96 | See |  |  | |
| 161,986 |
DRB1*16:02 |  | Thailand Northeast | | 0.0650 |  | 66 | See |  |  | |
| 161,987 |
DRB1*16:02 |  | Thailand Northeast pop 2 | | 0.0750 |  | 400 | See |  |  | |
| 161,988 |
DRB1*16:02 |  | Tunisia | 1.0 | 0.0050 |  | 100 | See |  |  | |
| 161,989 |
DRB1*16:02 |  | Tunisia Ghannouch | | 0.0060 |  | 82 | See |  |  | |
| 161,990 |
DRB1*16:02 |  | Tunisia pop 3 | | 0.0100 |  | 104 | See |  |  | |
| 161,991 |
DRB1*16:02 |  | United Arab Emirates Abu Dhabi | | 0.0577 |  | 52 | See |  |  |
|
| 161,992 |
DRB1*16:02 |  | United Arab Emirates Pop 1 | | 0.1000 |  | 570 | See |  |  |
|
| 161,993 |
DRB1*16:02 |  | USA African American Bethesda | 8.4 | 0.0420 |  | 187 | See |  |  | |
| 161,994 |
DRB1*16:02 |  | USA African American pop 4 | | 0.0154 |  | 2,411 | See |  |  | |
| 161,995 |
DRB1*16:02 |  | USA African American pop 7 | | 0.0100 |  | 193 | See |  |  | |
| 161,996 |
DRB1*16:02 |  | USA Arizona Gila River Amerindian | | 0.0920 |  | 492 | See |  |  | |
| 161,997 |
DRB1*16:02 |  | USA Arizona Pima pop2 | | 0.1180 |  | 18 | See |  |  | |
| 161,998 |
DRB1*16:02 |  | USA Asian pop 2 | | 0.0195 |  | 1,772 | See |  |  | |
| 161,999 |
DRB1*16:02 |  | USA Caucasian Bethesda | 0.6 | 0.0030 |  | 307 | See |  |  | |
| 162,000 |
DRB1*16:02 |  | USA Caucasian Houston | 0.0 | 0 |  | 194 | 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.