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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 |
| 1 |
A*68:01 |  | Argentina Rosario Toba | 22.1 | 0.1220 |  | 86 | See |  |  | |
| 2 |
A*68:01 |  | Armenia combined Regions | | 0.0300 |  | 100 | See |  |  | |
| 3 |
A*68:01 |  | Australia Cape York Peninsula Aborigine | | 0.0050 |  | 103 | See |  |  | |
| 4 |
A*68:01 |  | Australia New South Wales Caucasian | | 0.0410 |  | 134 | See |  |  | |
| 5 |
A*68:01 |  | Australia Yuendumu Aborigine | | 0 |  | 191 | See |  |  | |
| 6 |
A*68:01 |  | Austria | 6.0 | 0.0300 |  | 200 | See |  |  | |
| 7 |
A*68:01 |  | Azores Central Islands | | 0.0270 |  | 59 | See |  |  | |
| 8 |
A*68:01 |  | Azores Oriental Islands | | 0.0380 |  | 43 | See |  |  | |
| 9 |
A*68:01 |  | Azores Terceira Island | | 0.0390 |  | 130 | See |  |  | |
| 10 |
A*68:01 |  | Belgium | 11.5 | 0.0570 |  | 99 | See |  |  | |
| 11 |
A*68:01 |  | Belgium pop 3 | 8.0 | 0.0410 |  | 31,412 | See |  |  |
|
| 12 |
A*68:01 |  | Brazil Puyanawa | 22.0 | 0.1200 |  | 150 | See |  |  |
|
| 13 |
A*68:01 |  | Brazil Vale do Ribeira Quilombos | 0.0100 | 0 |  | 144 | See |  |  | |
| 14 |
A*68:01 |  | Burkina Faso Fulani | | 0.0310 |  | 49 | See |  |  | |
| 15 |
A*68:01 |  | Burkina Faso Mossi | | 0.0940 |  | 53 | See |  |  | |
| 16 |
A*68:01 |  | Cameroon Baka Pygmy | | 0.0500 |  | 10 | See |  |  | |
| 17 |
A*68:01 |  | Cameroon Bakola Pygmy | 2.0 | 0.0100 |  | 50 | See |  |  | |
| 18 |
A*68:01 |  | Cameroon Bamileke | | 0.0130 |  | 77 | See |  |  | |
| 19 |
A*68:01 |  | Cameroon Beti | | 0.0320 |  | 174 | See |  |  | |
| 20 |
A*68:01 |  | Cameroon Sawa | | 0.0380 |  | 13 | See |  |  | |
| 21 |
A*68:01 |  | Cameroon Yaounde | | 0.0060 |  | 92 | See |  |  | |
| 22 |
A*68:01 |  | Central African Republic Mbenzele Pygmy | 0.0 | 0 |  | 36 | See |  |  | |
| 23 |
A*68:01 |  | Chile Mapuche | | 0.3538 |  | 66 | See |  |  |
|
| 24 |
A*68:01 |  | Chile Santiago Mixed | 4.0 | 0.0202 |  | 70 | See |  |  | |
| 25 |
A*68:01 |  | China Beijing | | 0.0220 |  | 67 | See |  |  | |
| 26 |
A*68:01 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0050 |  | 618 | See |  |  | |
| 27 |
A*68:01 |  | China Guangzhou | | 0 |  | 102 | See |  |  | |
| 28 |
A*68:01 |  | China Han HIV negative | | 0.0310 |  | 72 | See |  |  | |
| 29 |
A*68:01 |  | China Henan HIV negative | | 0.0310 |  | 16 | See |  |  | |
| 30 |
A*68:01 |  | China Hubei Han | 1.2 | 0.0060 |  | 3,732 | See |  |  |
|
| 31 |
A*68:01 |  | China Inner Mongolia Region | | 0.0390 |  | 102 | See |  |  | |
| 32 |
A*68:01 |  | China Jiangsu Han | | 0.0056 |  | 3,238 | See |  |  | |
| 33 |
A*68:01 |  | China Jiangsu Province Han | | 0.0053 |  | 334 | See |  |  | |
| 34 |
A*68:01 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 35 |
A*68:01 |  | China Qinghai Province Hui | | 0.0090 |  | 110 | See |  |  | |
| 36 |
A*68:01 |  | China Uyghur HIV negative | | 0.0260 |  | 19 | See |  |  | |
| 37 |
A*68:01 |  | Colombia Bogotá Cord Blood | 9.9 | 0.0519 |  | 1,463 | See |  |  | |
| 38 |
A*68:01 |  | Colombia North Chimila Amerindians | | 0.1063 |  | 47 | See |  |  |
|
| 39 |
A*68:01 |  | Colombia North Wiwa El Encanto | | 0.0865 |  | 52 | See |  |  |
|
| 40 |
A*68:01 |  | Croatia | | 0.0470 |  | 150 | See |  |  | |
| 41 |
A*68:01 |  | Croatia pop 4 | | 0.0401 |  | 4,000 | See |  |  | |
| 42 |
A*68:01 |  | Czech Republic NMDR | | 0.0303 |  | 5,099 | See |  |  | |
| 43 |
A*68:01 |  | Ecuador Amerindians | | 0.0635 |  | 63 | See |  |  |
|
| 44 |
A*68:01 |  | England North West | 3.7 | 0.0180 |  | 298 | See |  |  | |
| 45 |
A*68:01 |  | France Corsica Island | | 0.0200 |  | 100 | See |  |  | |
| 46 |
A*68:01 |  | France French Bone Marrow Donor Registry | | 0.0238 |  | 42,623 | See |  |  | |
| 47 |
A*68:01 |  | France Southeast | 0.8 | 0.0040 |  | 130 | See |  |  | |
| 48 |
A*68:01 |  | Gaza | 2.4 | 0.0119 |  | 42 | See |  |  |
|
| 49 |
A*68:01 |  | Georgia Svaneti Region Svan | | 0.0630 |  | 80 | See |  |  | |
| 50 |
A*68:01 |  | Georgia Tibilisi | | 0.0430 |  | 109 | See |  |  | |
| 51 |
A*68:01 |  | Germany DKMS - Austria minority | | 0.0395 |  | 1,698 | See |  |  | |
| 52 |
A*68:01 |  | Germany DKMS - Bosnia and Herzegovina minority | | 0.0375 |  | 1,028 | See |  |  | |
| 53 |
A*68:01 |  | Germany DKMS - China minority | | 0.0099 |  | 1,282 | See |  |  | |
| 54 |
A*68:01 |  | Germany DKMS - Croatia minority | | 0.0421 |  | 2,057 | See |  |  | |
| 55 |
A*68:01 |  | Germany DKMS - France minority | | 0.0309 |  | 1,406 | See |  |  | |
| 56 |
A*68:01 |  | Germany DKMS - German donors | | 0.0359 |  | 3,456,066 | See |  |  |
|
| 57 |
A*68:01 |  | Germany DKMS - Greece minority | | 0.0407 |  | 1,894 | See |  |  | |
| 58 |
A*68:01 |  | Germany DKMS - Italy minority | | 0.0228 |  | 1,159 | See |  |  | |
| 59 |
A*68:01 |  | Germany DKMS - Netherlands minority | | 0.0348 |  | 1,374 | See |  |  | |
| 60 |
A*68:01 |  | Germany DKMS - Portugal minority | | 0.0307 |  | 1,176 | See |  |  | |
| 61 |
A*68:01 |  | Germany DKMS - Romania minority | | 0.0271 |  | 1,234 | See |  |  | |
| 62 |
A*68:01 |  | Germany DKMS - Spain minority | | 0.0339 |  | 1,107 | See |  |  | |
| 63 |
A*68:01 |  | Germany DKMS - Turkey minority | | 0.0389 |  | 4,856 | See |  |  | |
| 64 |
A*68:01 |  | Germany DKMS - United Kingdom minority | | 0.0309 |  | 1,043 | See |  |  | |
| 65 |
A*68:01 |  | Germany pop 6 | | 0.0363 |  | 8,862 | See |  |  | |
| 66 |
A*68:01 |  | Germany pop 8 | | 0.0354 |  | 39,689 | See |  |  | |
| 67 |
A*68:01 |  | Ghana Ga-Adangbe | 6.9 | 0.0382 |  | 131 | See |  |  | |
| 68 |
A*68:01 |  | Greece pop 6 | | 0.0393 |  | 242 | See |  |  | |
| 69 |
A*68:01 |  | Guinea Bissau Balanta | | 0.0420 |  | 48 | See |  |  | |
| 70 |
A*68:01 |  | Guinea Bissau Bijago | | 0.0220 |  | 23 | See |  |  | |
| 71 |
A*68:01 |  | Guinea Bissau Fula | | 0.0320 |  | 31 | See |  |  | |
| 72 |
A*68:01 |  | Guinea Bissau Papel | | 0.0200 |  | 25 | See |  |  | |
| 73 |
A*68:01 |  | Hong Kong Chinese BMDR | | 0.0024 |  | 7,595 | See |  |  |
|
| 74 |
A*68:01 |  | Hong Kong Chinese cord blood registry | | 0.0033 |  | 3,892 | See |  |  |
|
| 75 |
A*68:01 |  | India Central UCBB | 13.6 | 0.0682 |  | 4,204 | See |  |  |
|
| 76 |
A*68:01 |  | India Delhi pop 2 | 18.9 | 0.0940 |  | 90 | See |  |  | |
| 77 |
A*68:01 |  | India East UCBB | 13.2 | 0.0658 |  | 2,403 | See |  |  |
|
| 78 |
A*68:01 |  | India North UCBB | 13.3 | 0.0665 |  | 5,849 | See |  |  |
|
| 79 |
A*68:01 |  | India Northeast UCBB | 10.1 | 0.0507 |  | 296 | See |  |  |
|
| 80 |
A*68:01 |  | India South UCBB | 13.0 | 0.0650 |  | 11,446 | See |  |  |
|
| 81 |
A*68:01 |  | India Tamil Nadu | | 0.0586 |  | 2,492 | See |  |  |
|
| 82 |
A*68:01 |  | India West UCBB | 14.2 | 0.0710 |  | 5,829 | See |  |  |
|
| 83 |
A*68:01 |  | Iran Gorgan | | 0.0230 |  | 64 | See |  |  |
|
| 84 |
A*68:01 |  | Iran Kurd pop 2 | | 0.0080 |  | 60 | See |  |  |
|
| 85 |
A*68:01 |  | Iran Saqqez-Baneh Kurds | | 0.0083 |  | 60 | See |  |  |
|
| 86 |
A*68:01 |  | Iran Tabriz Azeris | | 0.0567 |  | 97 | See |  |  |
|
| 87 |
A*68:01 |  | Iran Yazd | | 0.0536 |  | 56 | See |  |  |
|
| 88 |
A*68:01 |  | Ireland South | 6.0 | 0.0340 |  | 250 | See |  |  | |
| 89 |
A*68:01 |  | Israel Arab pop 2 | | 0.0241 |  | 12,301 | See |  |  |
|
| 90 |
A*68:01 |  | Israel Argentina Jews | | 0.0033 |  | 4,307 | See |  |  |
|
| 91 |
A*68:01 |  | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0040 |  | 146 | See |  |  | |
| 92 |
A*68:01 |  | Israel Ashkenazi Jews pop 3 | | 0.0072 |  | 4,625 | See |  |  |
|
| 93 |
A*68:01 |  | Israel Bukhara Jews | | 0.0050 |  | 2,317 | See |  |  |
|
| 94 |
A*68:01 |  | Israel Druze | | 0.0145 |  | 5,914 | See |  |  |
|
| 95 |
A*68:01 |  | Israel Ethiopia Jews | | 0.0459 |  | 5,928 | See |  |  |
|
| 96 |
A*68:01 |  | Israel Georgia Jews | | 0.0020 |  | 4,471 | See |  |  |
|
| 97 |
A*68:01 |  | Israel Iran Jews | | 0.0112 |  | 8,153 | See |  |  |
|
| 98 |
A*68:01 |  | Israel Iraq Jews | | 0.0277 |  | 13,270 | See |  |  |
|
| 99 |
A*68:01 |  | Israel Kavkazi Jews | | 0.0148 |  | 2,840 | See |  |  |
|
| 100 |
A*68:01 |  | Israel Libya Jews | | 0.0041 |  | 3,739 | 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.
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