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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*74:01 |  | Belgium pop 3 | 0.0811 | 0.0004 |  | 31,412 | See |  |  |
|
| 2 |
A*74:01 |  | Brazil Puyanawa | 2.0 | 0.0100 |  | 150 | See |  |  |
|
| 3 |
A*74:01 |  | Brazil Mixed | | 0.0150 |  | 108 | See |  |  | |
| 4 |
A*74:01 |  | Brazil Vale do Ribeira Quilombos | 0.0350 | 0 |  | 144 | See |  |  | |
| 5 |
A*74:01 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
| 6 |
A*74:01 |  | Burkina Faso Fulani | | 0.0100 |  | 49 | See |  |  | |
| 7 |
A*74:01 |  | Burkina Faso Mossi | | 0.0660 |  | 53 | See |  |  | |
| 8 |
A*74:01 |  | Burkina Faso Rimaibe | | 0.0210 |  | 47 | See |  |  | |
| 9 |
A*74:01 |  | Cameroon Baka Pygmy | | 0 |  | 10 | See |  |  | |
| 10 |
A*74:01 |  | Cameroon Bamileke | | 0.0450 |  | 77 | See |  |  | |
| 11 |
A*74:01 |  | Cameroon Beti | | 0.0830 |  | 174 | See |  |  | |
| 12 |
A*74:01 |  | Cameroon Sawa | | 0.0380 |  | 13 | See |  |  | |
| 13 |
A*74:01 |  | Cameroon Yaounde | | 0.0500 |  | 92 | See |  |  | |
| 14 |
A*74:01 |  | Cape Verde Northwestern Islands | | 0 |  | 62 | See |  |  | |
| 15 |
A*74:01 |  | Cape Verde Southeastern Islands | | 0.0560 |  | 62 | See |  |  | |
| 16 |
A*74:01 |  | China Beijing Shijiazhuang Tianjian Han | | 0.0020 |  | 618 | See |  |  | |
| 17 |
A*74:01 |  | China Canton Han | | 0.0060 |  | 264 | See |  |  | |
| 18 |
A*74:01 |  | China North Han | | 0 |  | 105 | See |  |  | |
| 19 |
A*74:01 |  | China South Han | | 0.0050 |  | 284 | See |  |  | |
| 20 |
A*74:01 |  | China Tibet Region Tibetan | | 0 |  | 158 | See |  |  | |
| 21 |
A*74:01 |  | Colombia Bogotá Cord Blood | 1.1 | 0.0058 |  | 1,463 | See |  |  | |
| 22 |
A*74:01 |  | Colombia North Chimila Amerindians | | 0.0106 |  | 47 | See |  |  |
|
| 23 |
A*74:01 |  | Colombia North Wiwa El Encanto | | 0.0096 |  | 52 | See |  |  |
|
| 24 |
A*74:01 |  | Costa Rica African -Caribbean (G) | 16.6 (*) | 0.0880 (*) |  | 102 | See |  |  |
|
| 25 |
A*74:01 |  | Costa Rica Central Valley Mestizo (G) | 0.4 (*) | 0.0020 (*) |  | 221 | See |  |  |
|
| 26 |
A*74:01 |  | Costa Rica Guanacaste Mestizo (G) | 1.8 (*) | 0.0090 (*) |  | 110 | See |  |  |
|
| 27 |
A*74:01 |  | Croatia pop 4 | | 0.0001 |  | 4,000 | See |  |  | |
| 28 |
A*74:01 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
| 29 |
A*74:01 |  | France Corsica Island | | 0 |  | 100 | See |  |  | |
| 30 |
A*74:01 |  | Germany DKMS - Austria minority | | 0.0003 |  | 1,698 | See |  |  | |
| 31 |
A*74:01 |  | Germany DKMS - China minority | | 0.0004 |  | 1,282 | See |  |  | |
| 32 |
A*74:01 |  | Germany DKMS - France minority | | 0.0011 |  | 1,406 | See |  |  | |
| 33 |
A*74:01 |  | Germany DKMS - German donors | | 0.0001 |  | 3,456,066 | See |  |  |
|
| 34 |
A*74:01 |  | Germany DKMS - Greece minority | | 0.0005 |  | 1,894 | See |  |  | |
| 35 |
A*74:01 |  | Germany DKMS - Italy minority | | 0.0009 |  | 1,159 | See |  |  | |
| 36 |
A*74:01 |  | Germany DKMS - Netherlands minority | | 0.0007 |  | 1,374 | See |  |  | |
| 37 |
A*74:01 |  | Germany DKMS - Portugal minority | | 0.0009 |  | 1,176 | See |  |  | |
| 38 |
A*74:01 |  | Germany DKMS - Romania minority | | 0.0004 |  | 1,234 | See |  |  | |
| 39 |
A*74:01 |  | Germany DKMS - Spain minority | | 0.0014 |  | 1,107 | See |  |  | |
| 40 |
A*74:01 |  | Germany DKMS - Turkey minority | | 0.0002 |  | 4,856 | See |  |  | |
| 41 |
A*74:01 |  | Germany pop 6 | | 0.0001 |  | 8,862 | See |  |  | |
| 42 |
A*74:01 |  | Germany pop 8 | | 0.0001 |  | 39,689 | See |  |  | |
| 43 |
A*74:01 |  | Ghana Ga-Adangbe | 10.7 | 0.0534 |  | 131 | See |  |  | |
| 44 |
A*74:01 |  | Guinea Bissau | | 0.0770 |  | 65 | See |  |  | |
| 45 |
A*74:01 |  | Guinea Bissau Balanta | | 0.0940 |  | 48 | See |  |  | |
| 46 |
A*74:01 |  | Guinea Bissau Bijago | | 0.1960 |  | 23 | See |  |  | |
| 47 |
A*74:01 |  | Guinea Bissau Fula | | 0 |  | 31 | See |  |  | |
| 48 |
A*74:01 |  | Guinea Bissau Papel | | 0.1600 |  | 25 | See |  |  | |
| 49 |
A*74:01 |  | Hong Kong Chinese BMDR | | 0.0023 |  | 7,595 | See |  |  |
|
| 50 |
A*74:01 |  | Hong Kong Chinese cord blood registry | | 0.0013 |  | 3,892 | See |  |  |
|
| 51 |
A*74:01 |  | India Central UCBB | 0.0500 | 0.0002 |  | 4,204 | See |  |  |
|
| 52 |
A*74:01 |  | India East UCBB | 0.0400 | 0.0002 |  | 2,403 | See |  |  |
|
| 53 |
A*74:01 |  | India Kerala Malayalam speaking | 0.3 | 0.0014 |  | 356 | See |  |  |
|
| 54 |
A*74:01 |  | India North UCBB | 0.0700 | 0.0003 |  | 5,849 | See |  |  |
|
| 55 |
A*74:01 |  | India West UCBB | 0.0300 | 0.0002 |  | 5,829 | See |  |  |
|
| 56 |
A*74:01 |  | Indonesia Java pop 2 | | 0 |  | 36 | See |  |  | |
| 57 |
A*74:01 |  | Indonesia Sundanese and Javanese | | 0.0030 |  | 201 | See |  |  | |
| 58 |
A*74:01 |  | Iran Baloch | | 0.0280 |  | 100 | See |  |  | |
| 59 |
A*74:01 |  | Israel Arab pop 2 | | 0.0013 |  | 12,301 | See |  |  |
|
| 60 |
A*74:01 |  | Israel Argentina Jews | | 0.0013 |  | 4,307 | See |  |  |
|
| 61 |
A*74:01 |  | Israel Ashkenazi Jews pop 3 | | 0.0000110 |  | 4,625 | See |  |  |
|
| 62 |
A*74:01 |  | Israel Ethiopia Jews | | 0.0201 |  | 5,928 | See |  |  |
|
| 63 |
A*74:01 |  | Israel Georgia Jews | | 0.0004 |  | 4,471 | See |  |  |
|
| 64 |
A*74:01 |  | Israel Iraq Jews | | 0.0002 |  | 13,270 | See |  |  |
|
| 65 |
A*74:01 |  | Israel Morocco Jews | | 0.0014 |  | 36,718 | See |  |  |
|
| 66 |
A*74:01 |  | Israel Poland Jews | | 0.0000060 |  | 13,871 | See |  |  |
|
| 67 |
A*74:01 |  | Israel Tunisia Jews | | 0.0003 |  | 9,070 | See |  |  |
|
| 68 |
A*74:01 |  | Israel USA Jews | | 0.0007 |  | 6,058 | See |  |  |
|
| 69 |
A*74:01 |  | Israel USSR Jews | | 0.0000990 |  | 45,681 | See |  |  |
|
| 70 |
A*74:01 |  | Israel YemenJews | | 0.0003 |  | 15,542 | See |  |  |
|
| 71 |
A*74:01 |  | Italy pop 5 | | 0.0010 |  | 975 | See |  |  | |
| 72 |
A*74:01 |  | Italy Sardinia pop3 | | 0 |  | 100 | See |  |  | |
| 73 |
A*74:01 |  | Jordan Amman | | 0.0070 |  | 146 | See |  |  | |
| 74 |
A*74:01 |  | Kenya | | 0.0940 |  | 144 | See |  |  | |
| 75 |
A*74:01 |  | Kenya Luo | | 0.0720 |  | 265 | See |  |  | |
| 76 |
A*74:01 |  | Kenya Nandi | | 0.0170 |  | 240 | See |  |  | |
| 77 |
A*74:01 |  | Kenya, Nyanza Province, Luo tribe | 18.0 | 0.0950 |  | 100 | See |  |  |
|
| 78 |
A*74:01 |  | Libya Cyrenaica | | 0.0040 |  | 118 | See |  |  | |
| 79 |
A*74:01 |  | Malaysia Champa | 6.9 | 0.0340 |  | 29 | See |  |  |
|
| 80 |
A*74:01 |  | Malaysia Kelantan | 3.6 | 0.0180 |  | 28 | See |  |  |
|
| 81 |
A*74:01 |  | Malaysia Peninsular Malay | 1.4 | 0.0068 |  | 951 | See |  |  |
|
| 82 |
A*74:01 |  | Mali Bandiagara | | 0.0360 |  | 138 | See |  |  | |
| 83 |
A*74:01 |  | Mexico Chihuahua Chihuahua City Pop 2 | 1.1 | 0.0057 |  | 88 | See |  |  |
|
| 84 |
A*74:01 |  | Mexico Mexico City Mestizo pop 2 | | 0.0021 |  | 234 | See |  |  | |
| 85 |
A*74:01 |  | Mexico Mexico City Mestizo population | | 0.0035 |  | 143 | See |  |  |
|
| 86 |
A*74:01 |  | Mexico Mexico City Tlalpan | 0.6 | 0.0030 |  | 330 | See |  |  |
|
| 87 |
A*74:01 |  | Mexico Veracruz Xalapa | 2.4 | 0.0119 |  | 84 | See |  |  |
|
| 88 |
A*74:01 |  | Morocco Atlantic Coast Chaouya | | 0.0070 |  | 98 | See |  |  | |
| 89 |
A*74:01 |  | Morocco Nador Metalsa pop 2 | | 0.0140 |  | 73 | See |  |  | |
| 90 |
A*74:01 |  | Morocco Settat Chaouya | 1.4 | 0.0070 |  | 98 | See |  |  | |
| 91 |
A*74:01 |  | Netherlands Leiden | | 0.0010 |  | 1,305 | See |  |  | |
| 92 |
A*74:01 |  | Nicaragua Managua | 1.5 | 0.0090 |  | 339 | See |  |  |
|
| 93 |
A*74:01 |  | Nicaragua Mestizo (G) | 2.0 (*) | 0.0100 (*) |  | 155 | See |  |  |
|
| 94 |
A*74:01 |  | Panama | | 0.0147 |  | 462 | See |  |  |
|
| 95 |
A*74:01 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
| 96 |
A*74:01 |  | Romania | 0.0 | 0 |  | 348 | See |  |  | |
| 97 |
A*74:01 |  | Sao Tome Island Angolar | | 0.0630 |  | 32 | See |  |  | |
| 98 |
A*74:01 |  | Sao Tome Island Forro | | 0.0300 |  | 66 | See |  |  | |
| 99 |
A*74:01 |  | Saudi Arabia Al-Baha | | 0.0116 |  | 86 | See |  |  | |
| 100 |
A*74:01 |  | Saudi Arabia Guraiat and Hail | 0.9 | 0.0050 |  | 213 | 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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