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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*69:01 |  | Argentina Rosario Toba | 4.7 | 0.0230 |  | 86 | See |  |  | |
| 2 |
A*69:01 |  | Armenia combined Regions | | 0.0150 |  | 100 | See |  |  | |
| 3 |
A*69:01 |  | Belgium pop 3 | 0.1 | 0.0006 |  | 31,412 | See |  |  |
|
| 4 |
A*69:01 |  | Brazil Belo Horizonte Caucasian | 0.0 | 0 |  | 95 | See |  |  | |
| 5 |
A*69:01 |  | Bulgaria | | 0.0180 |  | 55 | See |  |  | |
| 6 |
A*69:01 |  | Burkina Faso Fulani | | 0 |  | 49 | See |  |  | |
| 7 |
A*69:01 |  | Burkina Faso Mossi | | 0.0190 |  | 53 | See |  |  | |
| 8 |
A*69:01 |  | Burkina Faso Rimaibe | | 0 |  | 47 | See |  |  | |
| 9 |
A*69:01 |  | Cameroon Yaounde | | 0.0060 |  | 92 | See |  |  | |
| 10 |
A*69:01 |  | Cape Verde Northwestern Islands | | 0.0400 |  | 62 | See |  |  | |
| 11 |
A*69:01 |  | Cape Verde Southeastern Islands | | 0.0240 |  | 62 | See |  |  | |
| 12 |
A*69:01 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0010 |  | 618 | See |  |  | |
| 13 |
A*69:01 |  | China Guizhou Province Bouyei | | 0 |  | 109 | See |  |  | |
| 14 |
A*69:01 |  | China Guizhou Province Miao pop 2 | | 0.0240 |  | 85 | See |  |  | |
| 15 |
A*69:01 |  | China Guizhou Province Shui | | 0 |  | 153 | See |  |  | |
| 16 |
A*69:01 |  | China Hubei Han | 0.0800 | 0.0004 |  | 3,732 | See |  |  |
|
| 17 |
A*69:01 |  | China Jiangsu Han | | 0.0031 |  | 3,238 | See |  |  | |
| 18 |
A*69:01 |  | China Jiangsu Province Han | | 0.0071 |  | 334 | See |  |  | |
| 19 |
A*69:01 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 20 |
A*69:01 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 21 |
A*69:01 |  | China Zhejiang Han | | 0.0026 |  | 1,734 | See |  |  |
|
| 22 |
A*69:01 |  | Colombia Bogotá Cord Blood | 0.8 | 0.0038 |  | 1,463 | See |  |  | |
| 23 |
A*69:01 |  | Costa Rica Guanacaste Mestizo (G) | 1.0 (*) | 0.0050 (*) |  | 110 | See |  |  |
|
| 24 |
A*69:01 |  | Croatia pop 4 | | 0.0009 |  | 4,000 | See |  |  | |
| 25 |
A*69:01 |  | Cuba Caucasian | 0.0 | 0 |  | 70 | See |  |  | |
| 26 |
A*69:01 |  | Cuba Mixed Race | 2.4 | 0.0120 |  | 42 | See |  |  | |
| 27 |
A*69:01 |  | Czech Republic | | 0.0050 |  | 106 | See |  |  | |
| 28 |
A*69:01 |  | Czech Republic NMDR | | 0.0009 |  | 5,099 | See |  |  | |
| 29 |
A*69:01 |  | England Blood Donors of Mixed Ethnicity | 0.2 | 0.0010 |  | 519 | See |  |  |
|
| 30 |
A*69:01 |  | England Leeds | 0.0 | 0 |  | 5,024 | See |  |  | |
| 31 |
A*69:01 |  | France Corsica Island | | 0 |  | 100 | See |  |  | |
| 32 |
A*69:01 |  | France Grenoble, Nantes and Rennes | | 0.0010 |  | 6,094 | See |  |  | |
| 33 |
A*69:01 |  | France Southeast | 0.8 | 0.0040 |  | 130 | See |  |  | |
| 34 |
A*69:01 |  | Gaza | 4.8 | 0.0357 |  | 42 | See |  |  |
|
| 35 |
A*69:01 |  | Germany DKMS - Austria minority | | 0.0003 |  | 1,698 | See |  |  | |
| 36 |
A*69:01 |  | Germany DKMS - Bosnia and Herzegovina minority | | 0.0010 |  | 1,028 | See |  |  | |
| 37 |
A*69:01 |  | Germany DKMS - China minority | | 0.0008 |  | 1,282 | See |  |  | |
| 38 |
A*69:01 |  | Germany DKMS - Croatia minority | | 0.0002 |  | 2,057 | See |  |  | |
| 39 |
A*69:01 |  | Germany DKMS - France minority | | 0.0018 |  | 1,406 | See |  |  | |
| 40 |
A*69:01 |  | Germany DKMS - German donors | | 0.0008 |  | 3,456,066 | See |  |  |
|
| 41 |
A*69:01 |  | Germany DKMS - Greece minority | | 0.0026 |  | 1,894 | See |  |  | |
| 42 |
A*69:01 |  | Germany DKMS - Italy minority | | 0.0065 |  | 1,159 | See |  |  | |
| 43 |
A*69:01 |  | Germany DKMS - Netherlands minority | | 0.0015 |  | 1,374 | See |  |  | |
| 44 |
A*69:01 |  | Germany DKMS - Portugal minority | | 0.0026 |  | 1,176 | See |  |  | |
| 45 |
A*69:01 |  | Germany DKMS - Spain minority | | 0.0023 |  | 1,107 | See |  |  | |
| 46 |
A*69:01 |  | Germany DKMS - Turkey minority | | 0.0052 |  | 4,856 | See |  |  | |
| 47 |
A*69:01 |  | Germany DKMS - United Kingdom minority | | 0.0014 |  | 1,043 | See |  |  | |
| 48 |
A*69:01 |  | Germany pop 6 | | 0.0006 |  | 8,862 | See |  |  | |
| 49 |
A*69:01 |  | Germany pop 8 | | 0.0009 |  | 39,689 | See |  |  | |
| 50 |
A*69:01 |  | Greece pop 6 | | 0.0083 |  | 242 | See |  |  | |
| 51 |
A*69:01 |  | Guinea Bissau | | 0 |  | 65 | See |  |  | |
| 52 |
A*69:01 |  | Hong Kong Chinese | 0.0 | 0 |  | 569 | See |  |  | |
| 53 |
A*69:01 |  | Hong Kong Chinese BMDR | | 0.0003 |  | 7,595 | See |  |  |
|
| 54 |
A*69:01 |  | India Central UCBB | 0.1 | 0.0005 |  | 4,204 | See |  |  |
|
| 55 |
A*69:01 |  | India Delhi pop 2 | 2.2 | 0.0110 |  | 90 | See |  |  | |
| 56 |
A*69:01 |  | India Karnataka Kannada Speaking | 0.6 | 0.0030 |  | 174 | See |  |  |
|
| 57 |
A*69:01 |  | India North UCBB | 0.2 | 0.0012 |  | 5,849 | See |  |  |
|
| 58 |
A*69:01 |  | India South UCBB | 0.0200 | 0.0000900 |  | 11,446 | See |  |  |
|
| 59 |
A*69:01 |  | India Tamil Nadu | | 0.0002 |  | 2,492 | See |  |  |
|
| 60 |
A*69:01 |  | India West UCBB | 0.0300 | 0.0002 |  | 5,829 | See |  |  |
|
| 61 |
A*69:01 |  | Iran Baloch | | 0.0060 |  | 100 | See |  |  | |
| 62 |
A*69:01 |  | Iran Gorgan | | 0.0080 |  | 64 | See |  |  |
|
| 63 |
A*69:01 |  | Iran Kurd pop 2 | | 0.0080 |  | 60 | See |  |  |
|
| 64 |
A*69:01 |  | Iran Saqqez-Baneh Kurds | | 0.0083 |  | 60 | See |  |  |
|
| 65 |
A*69:01 |  | Iran Tabriz Azeris | | 0.0052 |  | 97 | See |  |  |
|
| 66 |
A*69:01 |  | Iran Yazd | | 0.0089 |  | 56 | See |  |  |
|
| 67 |
A*69:01 |  | Ireland Northern | 0.0 | 0 |  | 1,000 | See |  |  | |
| 68 |
A*69:01 |  | Ireland South | 0.4 | 0.0020 |  | 250 | See |  |  | |
| 69 |
A*69:01 |  | Israel Arab Druze | | 0.0300 |  | 101 | See |  |  | |
| 70 |
A*69:01 |  | Israel Arab pop 2 | | 0.0207 |  | 12,301 | See |  |  |
|
| 71 |
A*69:01 |  | Israel Argentina Jews | | 0.0153 |  | 4,307 | See |  |  |
|
| 72 |
A*69:01 |  | Israel Ashkenazi Jews pop 3 | | 0.0163 |  | 4,625 | See |  |  |
|
| 73 |
A*69:01 |  | Israel Bukhara Jews | | 0.0006 |  | 2,317 | See |  |  |
|
| 74 |
A*69:01 |  | Israel Druze | | 0.0250 |  | 5,914 | See |  |  |
|
| 75 |
A*69:01 |  | Israel Ethiopia Jews | | 0.0012 |  | 5,928 | See |  |  |
|
| 76 |
A*69:01 |  | Israel Georgia Jews | | 0.0008 |  | 4,471 | See |  |  |
|
| 77 |
A*69:01 |  | Israel Iran Jews | | 0.0041 |  | 8,153 | See |  |  |
|
| 78 |
A*69:01 |  | Israel Iraq Jews | | 0.0074 |  | 13,270 | See |  |  |
|
| 79 |
A*69:01 |  | Israel Kavkazi Jews | | 0.0086 |  | 2,840 | See |  |  |
|
| 80 |
A*69:01 |  | Israel Libya Jews | | 0.0124 |  | 3,739 | See |  |  |
|
| 81 |
A*69:01 |  | Israel Morocco Jews | | 0.0156 |  | 36,718 | See |  |  |
|
| 82 |
A*69:01 |  | Israel Poland Jews | | 0.0140 |  | 13,871 | See |  |  |
|
| 83 |
A*69:01 |  | Israel Tunisia Jews | | 0.0102 |  | 9,070 | See |  |  |
|
| 84 |
A*69:01 |  | Israel USA Jews | | 0.0157 |  | 6,058 | See |  |  |
|
| 85 |
A*69:01 |  | Israel USSR Jews | | 0.0091 |  | 45,681 | See |  |  |
|
| 86 |
A*69:01 |  | Israel YemenJews | | 0.0223 |  | 15,542 | See |  |  |
|
| 87 |
A*69:01 |  | Italy Bergamo | 2.0 | 0.0110 |  | 101 | See |  |  | |
| 88 |
A*69:01 |  | Italy pop 5 | | 0.0040 |  | 975 | See |  |  | |
| 89 |
A*69:01 |  | Italy Sardinia pop3 | | 0.0100 |  | 100 | See |  |  | |
| 90 |
A*69:01 |  | Jordan Amman | | 0.0100 |  | 146 | See |  |  | |
| 91 |
A*69:01 |  | Kenya Luo | | 0 |  | 265 | See |  |  | |
| 92 |
A*69:01 |  | Kenya Nandi | | 0 |  | 240 | See |  |  | |
| 93 |
A*69:01 |  | Kosovo | 1.6 | 0.0081 |  | 124 | See |  |  |
|
| 94 |
A*69:01 |  | Libya Cyrenaica | | 0.0040 |  | 118 | See |  |  | |
| 95 |
A*69:01 |  | Malaysia Peninsular Chinese | 0.5 | 0.0026 |  | 194 | See |  |  |
|
| 96 |
A*69:01 |  | Mali Bandiagara | | 0 |  | 138 | See |  |  | |
| 97 |
A*69:01 |  | Mexico Mestizo | 2.4 | 0.0120 |  | 41 | See |  |  | |
| 98 |
A*69:01 |  | Mexico Mexico City Tlalpan | 0.3 | 0.0015 |  | 330 | See |  |  |
|
| 99 |
A*69:01 |  | Morocco Atlantic Coast Chaouya | | 0.0140 |  | 98 | See |  |  | |
| 100 |
A*69:01 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | 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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