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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 |
25,801 |
A*66:01 | | Germany DKMS - Portugal minority | | 0.0051 | | 1,176 | See | | | |
25,802 |
A*66:01 | | Germany DKMS - Romania minority | | 0.0057 | | 1,234 | See | | | |
25,803 |
A*66:01 | | Germany DKMS - Spain minority | | 0.0058 | | 1,107 | See | | | |
25,804 |
A*66:01 | | Germany DKMS - Turkey minority | | 0.0064 | | 4,856 | See | | | |
25,805 |
A*66:01 | | Germany DKMS - United Kingdom minority | | 0.0048 | | 1,043 | See | | | |
25,806 |
A*66:01 | | Germany pop 6 | | 0.0044 | | 8,862 | See | | | |
25,807 |
A*66:01 | | Ghana Ga-Adangbe | 1.5 | 0.0076 | | 131 | See | | | |
25,808 |
A*66:01 | | Greece pop 6 | | 0.0062 | | 242 | See | | | |
25,809 |
A*66:01 | | Guatemala Kaqchikel NA-DHS_8 (G) | 5.3 (*) | 0.0263 (*) | | 19 | See | | |
|
25,810 |
A*66:01 | | Guinea Bissau | | 0.0150 | | 65 | See | | | |
25,811 |
A*66:01 | | Guinea Bissau Balanta | | 0 | | 48 | See | | | |
25,812 |
A*66:01 | | Guinea Bissau Bijago | | 0 | | 23 | See | | | |
25,813 |
A*66:01 | | Guinea Bissau Fula | | 0.0160 | | 31 | See | | | |
25,814 |
A*66:01 | | Guinea Bissau Papel | | 0 | | 25 | See | | | |
25,815 |
A*66:01 | | Hong Kong Chinese | 0.2 | 0.0010 | | 569 | See | | | |
25,816 |
A*66:01 | | Hong Kong Chinese BMDR | | 0.0003 | | 7,595 | See | | |
|
25,817 |
A*66:01 | | Hong Kong Chinese cord blood registry | | 0.0005 | | 3,892 | See | | |
|
25,818 |
A*66:01 | | India Central UCBB | 0.1 | 0.0007 | | 4,204 | See | | |
|
25,819 |
A*66:01 | | India Delhi pop 2 | 1.1 | 0.0050 | | 90 | See | | | |
25,820 |
A*66:01 | | India Khandesh Region Pawra | | 0 | | 50 | See | | | |
25,821 |
A*66:01 | | India Mumbai Maratha | | 0.0250 | | 91 | See | | | |
25,822 |
A*66:01 | | India North UCBB | 0.0900 | 0.0004 | | 5,849 | See | | |
|
25,823 |
A*66:01 | | India South UCBB | 0.0300 | 0.0001 | | 11,446 | See | | |
|
25,824 |
A*66:01 | | India West Bhil | | 0.0400 | | 50 | See | | | |
25,825 |
A*66:01 | | India West Coast Parsi | | 0.0200 | | 50 | See | | | |
25,826 |
A*66:01 | | India West UCBB | 0.0200 | 0.0000900 | | 5,829 | See | | |
|
25,827 |
A*66:01 | | Iran Baloch | | 0.0060 | | 100 | See | | | |
25,828 |
A*66:01 | | Iran Tabriz Azeris | | 0.0052 | | 97 | See | | |
|
25,829 |
A*66:01 | | Ireland Northern | 0.2 | 0.0010 | | 1,000 | See | | | |
25,830 |
A*66:01 | | Ireland South | 1.6 | 0.0080 | | 250 | See | | | |
25,831 |
A*66:01 | | Israel Arab pop 2 | | 0.0107 | | 12,301 | See | | |
|
25,832 |
A*66:01 | | Israel Argentina Jews | | 0.0178 | | 4,307 | See | | |
|
25,833 |
A*66:01 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0090 | | 146 | See | | | |
25,834 |
A*66:01 | | Israel Ashkenazi Jews pop 3 | | 0.0149 | | 4,625 | See | | |
|
25,835 |
A*66:01 | | Israel Bukhara Jews | | 0.0108 | | 2,317 | See | | |
|
25,836 |
A*66:01 | | Israel Druze | | 0.0166 | | 5,914 | See | | |
|
25,837 |
A*66:01 | | Israel Ethiopia Jews | | 0.0324 | | 5,928 | See | | |
|
25,838 |
A*66:01 | | Israel Georgia Jews | | 0.0056 | | 4,471 | See | | |
|
25,839 |
A*66:01 | | Israel Iran Jews | | 0.0002 | | 8,153 | See | | |
|
25,840 |
A*66:01 | | Israel Iraq Jews | | 0.0014 | | 13,270 | See | | |
|
25,841 |
A*66:01 | | Israel Kavkazi Jews | | 0.0109 | | 2,840 | See | | |
|
25,842 |
A*66:01 | | Israel Libya Jews | | 0.0177 | | 3,739 | See | | |
|
25,843 |
A*66:01 | | Israel Morocco Jews | | 0.0079 | | 36,718 | See | | |
|
25,844 |
A*66:01 | | Israel Poland Jews | | 0.0152 | | 13,871 | See | | |
|
25,845 |
A*66:01 | | Israel Tunisia Jews | | 0.0191 | | 9,070 | See | | |
|
25,846 |
A*66:01 | | Israel USA Jews | | 0.0169 | | 6,058 | See | | |
|
25,847 |
A*66:01 | | Israel USSR Jews | | 0.0115 | | 45,681 | See | | |
|
25,848 |
A*66:01 | | Israel YemenJews | | 0.0126 | | 15,542 | See | | |
|
25,849 |
A*66:01 | | Italy Bergamo | 2.0 | 0.0110 | | 101 | See | | | |
25,850 |
A*66:01 | | Italy pop 5 | | 0.0080 | | 975 | See | | | |
25,851 |
A*66:01 | | Japan pop 16 | | 0.0000500 | | 18,604 | See | | | |
25,852 |
A*66:01 | | Kenya | | 0.0170 | | 144 | See | | | |
25,853 |
A*66:01 | | Kenya Luo | | 0.0680 | | 265 | See | | | |
25,854 |
A*66:01 | | Kenya Nandi | | 0.0500 | | 240 | See | | | |
25,855 |
A*66:01 | | Kenya, Nyanza Province, Luo tribe | 10.0 | 0.0500 | | 100 | See | | |
|
25,856 |
A*66:01 | | Kosovo | 0.8 | 0.0040 | | 124 | See | | |
|
25,857 |
A*66:01 | | Libya Cyrenaica | | 0.0090 | | 118 | See | | | |
25,858 |
A*66:01 | | Macedonia pop 4 | | 0.0020 | | 216 | See | | | |
25,859 |
A*66:01 | | Madeira | | 0.0110 | | 185 | See | | | |
25,860 |
A*66:01 | | Mali Bandiagara | | 0 | | 138 | See | | | |
25,861 |
A*66:01 | | Martinique | | 0.0200 | | 100 | See | | | |
25,862 |
A*66:01 | | Mexico Guadalajara Mestizo pop 2 | | 0.0050 | | 103 | See | | | |
25,863 |
A*66:01 | | Mexico Mestizo | 0.0 | 0 | | 41 | See | | | |
25,864 |
A*66:01 | | Mexico Mexico City Mestizo pop 2 | | 0.0128 | | 234 | See | | | |
25,865 |
A*66:01 | | Mexico Mexico City Mestizo population | | 0.0035 | | 143 | See | | |
|
25,866 |
A*66:01 | | Mexico Mexico City Tlalpan | 0.6 | 0.0030 | | 330 | See | | |
|
25,867 |
A*66:01 | | Mexico Veracruz Xalapa | 1.2 | 0.0060 | | 84 | See | | |
|
25,868 |
A*66:01 | | Mongolia Buryat | | 0.0040 | | 141 | See | | | |
25,869 |
A*66:01 | | Morocco Atlantic Coast Chaouya | | 0.0140 | | 98 | See | | | |
25,870 |
A*66:01 | | Morocco Nador Metalsa pop 2 | | 0.0210 | | 73 | See | | | |
25,871 |
A*66:01 | | Morocco Settat Chaouya | 2.8 | 0.0140 | | 98 | See | | | |
25,872 |
A*66:01 | | Netherlands Leiden | | 0.0030 | | 1,305 | See | | | |
25,873 |
A*66:01 | | Nicaragua Managua | 1.5 | 0.0075 | | 339 | See | | |
|
25,874 |
A*66:01 | | Oman | 1.7 | 0.0080 | | 118 | See | | | |
25,875 |
A*66:01 | | Pakistan Baloch | | 0 | | 66 | See | | | |
25,876 |
A*66:01 | | Pakistan Brahui | | 0.0060 | | 104 | See | | | |
25,877 |
A*66:01 | | Pakistan Burusho | | 0 | | 92 | See | | | |
25,878 |
A*66:01 | | Pakistan Kalash | | 0 | | 69 | See | | | |
25,879 |
A*66:01 | | Pakistan Karachi Parsi | | 0.0110 | | 91 | See | | | |
25,880 |
A*66:01 | | Pakistan Mixed Pathan | | 0 | | 100 | See | | | |
25,881 |
A*66:01 | | Pakistan Mixed Sindhi | | 0 | | 101 | See | | | |
25,882 |
A*66:01 | | Panama | | 0.0057 | | 462 | See | | |
|
25,883 |
A*66:01 | | Philippines Ivatan | 0.0 | 0 | | 50 | See | | | |
25,884 |
A*66:01 | | Poland | | 0.0050 | | 200 | See | | | |
25,885 |
A*66:01 | | Poland DKMS | | 0.0071 | | 20,653 | See | | | |
25,886 |
A*66:01 | | Portugal Azores Terceira Island | 2.6 | 0.0132 | | 130 | See | | |
|
25,887 |
A*66:01 | | Portugal Center | | 0.0200 | | 50 | See | | | |
25,888 |
A*66:01 | | Portugal North | | 0 | | 46 | See | | | |
25,889 |
A*66:01 | | Portugal South | | 0.0100 | | 49 | See | | | |
25,890 |
A*66:01 | | Romania | 0.3 | 0.0010 | | 348 | See | | | |
25,891 |
A*66:01 | | Russia Karelia | | 0.0041 | | 1,075 | See | | |
|
25,892 |
A*66:01 | | Russia Tuva pop 2 | | 0.0030 | | 169 | See | | | |
25,893 |
A*66:01 | | Sao Tome Island Angolar | | 0.0310 | | 32 | See | | | |
25,894 |
A*66:01 | | Sao Tome Island Forro | | 0.0080 | | 66 | See | | | |
25,895 |
A*66:01 | | Saudi Arabia Guraiat and Hail | 2.3 | 0.0120 | | 213 | See | | | |
25,896 |
A*66:01 | | Saudi Arabia pop 5 | 3.8 | 0.0253 | | 158 | See | | | |
25,897 |
A*66:01 | | Singapore Chinese | 0.0 | 0 | | 149 | See | | | |
25,898 |
A*66:01 | | South Africa Caucasians | | 0 | | 102 | See | | | |
25,899 |
A*66:01 | | South Africa Natal Zulu | 4.0 | 0.0200 | | 100 | See | | | |
25,900 |
A*66:01 | | South Africa Worcester | 8.0 | 0.0410 | | 159 | 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.