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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 |
3,001 |
A*03:13 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,002 |
A*03:14 | | China North Han | | 0 | | 105 | See | | | |
3,003 |
A*03:14 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
3,004 |
A*03:14 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,005 |
A*03:15 | | China North Han | | 0 | | 105 | See | | | |
3,006 |
A*03:15 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
3,007 |
A*03:15 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,008 |
A*03:16 | | China North Han | | 0 | | 105 | See | | | |
3,009 |
A*03:16 | | China Tibet Region Tibetan | | 0 | | 158 | See | | | |
3,010 |
A*03:16 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,011 |
A*03:17 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,012 |
A*03:18 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,013 |
A*03:18 | | Saudi Arabia pop 5 | 0.6 | 0.0032 | | 158 | See | | | |
3,014 |
A*03:19 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,015 |
A*03:20 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,016 |
A*03:21N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,017 |
A*03:22 | | Germany DKMS - United Kingdom minority | | 0.0005 | | 1,043 | See | | | |
3,018 |
A*03:22 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,019 |
A*03:23 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,020 |
A*03:24 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,021 |
A*03:25 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,022 |
A*03:25 | | USA Eastern European | | 0.0010 | | 558 | See | | | |
3,023 |
A*03:26 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,024 |
A*03:27 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,025 |
A*03:28 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,026 |
A*03:29 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,027 |
A*03:30 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,028 |
A*03:31 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,029 |
A*03:32 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,030 |
A*03:33 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,031 |
A*03:34 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,032 |
A*03:35 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,033 |
A*03:36N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,034 |
A*03:37 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,035 |
A*03:38 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,036 |
A*03:39 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,037 |
A*03:40 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,038 |
A*03:41 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,039 |
A*03:42 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,040 |
A*03:43 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,041 |
A*03:44 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,042 |
A*03:45 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,043 |
A*03:46 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,044 |
A*03:47 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,045 |
A*03:48 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,046 |
A*03:49 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,047 |
A*03:50 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,048 |
A*03:51 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,049 |
A*03:52 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,050 |
A*03:53 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,051 |
A*03:54 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,052 |
A*03:55 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,053 |
A*03:56 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,054 |
A*03:56 | | Saudi Arabia pop 5 | 0.6 | 0.0032 | | 158 | See | | | |
3,055 |
A*03:57 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,056 |
A*03:58 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,057 |
A*03:59 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,058 |
A*03:60 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,059 |
A*03:61 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,060 |
A*03:62 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,061 |
A*03:63 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,062 |
A*03:64 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,063 |
A*03:65 | | Germany DKMS - Portugal minority | | 0.0004 | | 1,176 | See | | | |
3,064 |
A*03:65 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,065 |
A*03:66 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,066 |
A*03:67 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,067 |
A*03:68N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,068 |
A*03:69N | | Germany DKMS - Portugal minority | | 0.0004 | | 1,176 | See | | | |
3,069 |
A*03:69N | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,070 |
A*03:69N | | Saudi Arabia pop 5 | 0.6 | 0.0032 | | 158 | See | | | |
3,071 |
A*03:70 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,072 |
A*03:71 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,073 |
A*03:72 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,074 |
A*03:73 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,075 |
A*03:74 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
3,076 |
A*03:97 | | Germany DKMS - Italy minority | | 0.0005 | | 1,159 | See | | | |
3,077 |
A*03:97 | | Germany DKMS - Romania minority | | 0.0004 | | 1,234 | See | | | |
3,078 |
A*03:97 | | Germany DKMS - Turkey minority | | 0.0002 | | 4,856 | See | | | |
3,079 |
A*03:103 | | Saudi Arabia pop 5 | 0.6 | 0.0032 | | 158 | See | | | |
3,080 |
A*11 | | Albania | | 0.0750 | | 160 | See | | | |
3,081 |
A*11 | | Albanian Kosovo | | 0.0542 | | 120 | See | | | |
3,082 |
A*11 | | Algeria pop 2 | 12.0 | 0.0619 | | 106 | See | | | |
3,083 |
A*11 | | Bangladesh Dhaka Bangalee | | 0.1560 | | 141 | See | | | |
3,084 |
A*11 | | Brazil Parana Afro Brazilian | 2.6 | 0.0130 | | 77 | See | | | |
3,085 |
A*11 | | Brazil Parana Cafuzo | 10.3 | 0.0520 | | 319 | See | | | |
3,086 |
A*11 | | Brazil Parana Caucasian | 10.7 | 0.0530 | | 2,775 | See | | | |
3,087 |
A*11 | | Brazil Parana Mixed race | 8.6 | 0.0430 | | 186 | See | | | |
3,088 |
A*11 | | Brazil Parana Oriental | 24.2 | 0.1210 | | 33 | See | | | |
3,089 |
A*11 | | Brazil Pernambuco Mixed | | 0.0250 | | 101 | See | | | |
3,090 |
A*11 | | Brazil South Ribeirao Preto | | 0.0910 | | 184 | See | | | |
3,091 |
A*11 | | Burkina Faso Fulani | | 0 | | 49 | See | | | |
3,092 |
A*11 | | Burkina Faso Mossi | | 0 | | 53 | See | | | |
3,093 |
A*11 | | Burkina Faso Rimaibe | | 0 | | 47 | See | | | |
3,094 |
A*11 | | China Guangdong Province | 51.4 | 0.3028 | | 403 | See | | | |
3,095 |
A*11 | | China Jiangsu Province | | 0.1860 | | 20,248 | See | | | |
3,096 |
A*11 | | China North Han | | 0 | | 105 | See | | | |
3,097 |
A*11 | | China Shaanxi Province Han | | 0.1870 | | 10,000 | See | | | |
3,098 |
A*11 | | China Shandong Province Linqu County | 36.7 | 0.2043 | | 139 | See | | | |
3,099 |
A*11 | | China Wuhan | 49.6 | 0.2930 | | 121 | See | | | |
3,100 |
A*11 | | China Yunnan Province Han pop 2 | | 0.1230 | | 129 | 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.
Displaying 3,001 to 3,100
(from 60,683) records |
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