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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 |
27,201 |
A*68:02 | | Germany DKMS - France minority | | 0.0077 | | 1,406 | See | | | |
27,202 |
A*68:02 | | Germany DKMS - German donors | | 0.0068 | | 3,456,066 | See | | |
|
27,203 |
A*68:02 | | Germany DKMS - Greece minority | | 0.0042 | | 1,894 | See | | | |
27,204 |
A*68:02 | | Germany DKMS - Italy minority | | 0.0075 | | 1,159 | See | | | |
27,205 |
A*68:02 | | Germany DKMS - Netherlands minority | | 0.0055 | | 1,374 | See | | | |
27,206 |
A*68:02 | | Germany DKMS - Portugal minority | | 0.0149 | | 1,176 | See | | | |
27,207 |
A*68:02 | | Germany DKMS - Romania minority | | 0.0045 | | 1,234 | See | | | |
27,208 |
A*68:02 | | Germany DKMS - Spain minority | | 0.0163 | | 1,107 | See | | | |
27,209 |
A*68:02 | | Germany DKMS - Turkey minority | | 0.0046 | | 4,856 | See | | | |
27,210 |
A*68:02 | | Germany DKMS - United Kingdom minority | | 0.0060 | | 1,043 | See | | | |
27,211 |
A*68:02 | | Germany pop 6 | | 0.0071 | | 8,862 | See | | | |
27,212 |
A*68:02 | | Germany pop 8 | | 0.0072 | | 39,689 | See | | | |
27,213 |
A*68:02 | | Ghana Ga-Adangbe | 15.3 | 0.0802 | | 131 | See | | | |
27,214 |
A*68:02 | | Greece pop 6 | | 0.0124 | | 242 | See | | | |
27,215 |
A*68:02 | | Greece pop 8 | 1.2 | 0.0060 | | 83 | See | | | |
27,216 |
A*68:02 | | Guinea Bissau | | 0.0230 | | 65 | See | | | |
27,217 |
A*68:02 | | Guinea Bissau Balanta | | 0.0420 | | 48 | See | | | |
27,218 |
A*68:02 | | Guinea Bissau Bijago | | 0 | | 23 | See | | | |
27,219 |
A*68:02 | | Guinea Bissau Fula | | 0.1290 | | 31 | See | | | |
27,220 |
A*68:02 | | Guinea Bissau Papel | | 0.0400 | | 25 | See | | | |
27,221 |
A*68:02 | | Hong Kong Chinese | 0.0 | 0 | | 569 | See | | | |
27,222 |
A*68:02 | | Hong Kong Chinese BMDR | | 0.0002 | | 7,595 | See | | |
|
27,223 |
A*68:02 | | Hong Kong Chinese cord blood registry | | 0.0004 | | 3,892 | See | | |
|
27,224 |
A*68:02 | | India Central UCBB | 0.0500 | 0.0002 | | 4,204 | See | | |
|
27,225 |
A*68:02 | | India North UCBB | 0.0200 | 0.0000900 | | 5,849 | See | | |
|
27,226 |
A*68:02 | | India South UCBB | 0.0400 | 0.0002 | | 11,446 | See | | |
|
27,227 |
A*68:02 | | India West UCBB | 0.0500 | 0.0003 | | 5,829 | See | | |
|
27,228 |
A*68:02 | | Iran Baloch | | 0.0110 | | 100 | See | | | |
27,229 |
A*68:02 | | Iran Yazd | | 0.0179 | | 56 | See | | |
|
27,230 |
A*68:02 | | Ireland Northern | 1.8 | 0.0090 | | 1,000 | See | | | |
27,231 |
A*68:02 | | Ireland South | 1.2 | 0.0060 | | 250 | See | | | |
27,232 |
A*68:02 | | Israel Arab pop 2 | | 0.0315 | | 12,301 | See | | |
|
27,233 |
A*68:02 | | Israel Argentina Jews | | 0.0462 | | 4,307 | See | | |
|
27,234 |
A*68:02 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0090 | | 146 | See | | | |
27,235 |
A*68:02 | | Israel Ashkenazi Jews pop 3 | | 0.0382 | | 4,625 | See | | |
|
27,236 |
A*68:02 | | Israel Bukhara Jews | | 0.0278 | | 2,317 | See | | |
|
27,237 |
A*68:02 | | Israel Druze | | 0.0009 | | 5,914 | See | | |
|
27,238 |
A*68:02 | | Israel Ethiopia Jews | | 0.1164 | | 5,928 | See | | |
|
27,239 |
A*68:02 | | Israel Georgia Jews | | 0.0366 | | 4,471 | See | | |
|
27,240 |
A*68:02 | | Israel Iran Jews | | 0.0004 | | 8,153 | See | | |
|
27,241 |
A*68:02 | | Israel Iraq Jews | | 0.0010 | | 13,270 | See | | |
|
27,242 |
A*68:02 | | Israel Kavkazi Jews | | 0.0255 | | 2,840 | See | | |
|
27,243 |
A*68:02 | | Israel Libya Jews | | 0.0251 | | 3,739 | See | | |
|
27,244 |
A*68:02 | | Israel Morocco Jews | | 0.0395 | | 36,718 | See | | |
|
27,245 |
A*68:02 | | Israel Poland Jews | | 0.0392 | | 13,871 | See | | |
|
27,246 |
A*68:02 | | Israel Tunisia Jews | | 0.0367 | | 9,070 | See | | |
|
27,247 |
A*68:02 | | Israel USA Jews | | 0.0420 | | 6,058 | See | | |
|
27,248 |
A*68:02 | | Israel USSR Jews | | 0.0369 | | 45,681 | See | | |
|
27,249 |
A*68:02 | | Israel YemenJews | | 0.0467 | | 15,542 | See | | |
|
27,250 |
A*68:02 | | Italy Bergamo | 2.0 | 0.0110 | | 101 | See | | | |
27,251 |
A*68:02 | | Italy pop 5 | | 0.0070 | | 975 | See | | | |
27,252 |
A*68:02 | | Italy Sardinia pop3 | | 0 | | 100 | See | | | |
27,253 |
A*68:02 | | Kenya | | 0.1050 | | 144 | See | | | |
27,254 |
A*68:02 | | Kenya Luo | | 0.0760 | | 265 | See | | | |
27,255 |
A*68:02 | | Kenya Nandi | | 0.1160 | | 240 | See | | | |
27,256 |
A*68:02 | | Kenya, Nyanza Province, Luo tribe | 12.0 | 0.0700 | | 100 | See | | |
|
27,257 |
A*68:02 | | Kosovo | 2.4 | 0.0121 | | 124 | See | | |
|
27,258 |
A*68:02 | | Madeira | | 0.0080 | | 185 | See | | | |
27,259 |
A*68:02 | | Mali Bandiagara | | 0.0620 | | 138 | See | | | |
27,260 |
A*68:02 | | Mexico Chiapas Lacandon Mayans | | 0.0046 | | 218 | See | | |
|
27,261 |
A*68:02 | | Mexico Chihuahua Chihuahua City Pop 2 | 2.3 | 0.0114 | | 88 | See | | |
|
27,262 |
A*68:02 | | Mexico Guadalajara Mestizo pop 2 | | 0.0490 | | 103 | See | | | |
27,263 |
A*68:02 | | Mexico Mestizo | 2.4 | 0.0120 | | 41 | See | | | |
27,264 |
A*68:02 | | Mexico Mexico City Mestizo pop 2 | | 0.0299 | | 234 | See | | | |
27,265 |
A*68:02 | | Mexico Mexico City Mestizo population | | 0.0280 | | 143 | See | | |
|
27,266 |
A*68:02 | | Mexico Mexico City Tlalpan | 0.6 | 0.0030 | | 330 | See | | |
|
27,267 |
A*68:02 | | Mexico Mixtec | | 0.0050 | | 97 | See | | | |
27,268 |
A*68:02 | | Mexico Oaxaca Jamiltepec Mixtec | | 0.0050 | | 96 | See | | |
|
27,269 |
A*68:02 | | Mexico Oaxaca Mixe | | 0.0090 | | 55 | See | | | |
27,270 |
A*68:02 | | Mexico Oaxaca Mixtec | | 0 | | 103 | See | | | |
27,271 |
A*68:02 | | Mexico Oaxaca Zapotec | | 0 | | 90 | See | | | |
27,272 |
A*68:02 | | Mexico Sonora Seri | | 0.0300 | | 34 | See | | | |
27,273 |
A*68:02 | | Morocco Nador Metalsa pop 2 | | 0.0480 | | 73 | See | | | |
27,274 |
A*68:02 | | Netherlands Leiden | | 0.0070 | | 1,305 | See | | | |
27,275 |
A*68:02 | | New Caledonia | | 0.0120 | | 65 | See | | | |
27,276 |
A*68:02 | | Nicaragua Managua | 6.3 | 0.0329 | | 339 | See | | |
|
27,277 |
A*68:02 | | Oman | 3.4 | 0.0170 | | 118 | See | | | |
27,278 |
A*68:02 | | Pakistan Baloch | | 0.0160 | | 66 | See | | | |
27,279 |
A*68:02 | | Pakistan Brahui | | 0 | | 104 | See | | | |
27,280 |
A*68:02 | | Pakistan Burusho | | 0 | | 92 | See | | | |
27,281 |
A*68:02 | | Pakistan Kalash | | 0.0330 | | 69 | See | | | |
27,282 |
A*68:02 | | Pakistan Karachi Parsi | | 0 | | 91 | See | | | |
27,283 |
A*68:02 | | Pakistan Mixed Pathan | | 0 | | 100 | See | | | |
27,284 |
A*68:02 | | Pakistan Mixed Sindhi | | 0 | | 101 | See | | | |
27,285 |
A*68:02 | | Panama | | 0.0136 | | 462 | See | | |
|
27,286 |
A*68:02 | | Papua New Guinea East New Britain Rabaul | | 0 | | 60 | See | | | |
27,287 |
A*68:02 | | Papua New Guinea Eastern Highlands Goroka Asaro | | 0 | | 57 | See | | | |
27,288 |
A*68:02 | | Papua New Guinea Karimui Plateau Pawaia | | 0 | | 80 | See | | | |
27,289 |
A*68:02 | | Papua New Guinea Madang | | 0 | | 65 | See | | | |
27,290 |
A*68:02 | | Papua New Guinea Wanigela Keapara | | 0 | | 66 | See | | | |
27,291 |
A*68:02 | | Papua New Guinea West Schrader Ranges Haruai | | 0 | | 55 | See | | | |
27,292 |
A*68:02 | | Papua New Guinea Wosera Abelam | | 0 | | 131 | See | | | |
27,293 |
A*68:02 | | Philippines Ivatan | 0.0 | 0 | | 50 | See | | | |
27,294 |
A*68:02 | | Poland | | 0.0050 | | 200 | See | | | |
27,295 |
A*68:02 | | Poland DKMS | | 0.0047 | | 20,653 | See | | | |
27,296 |
A*68:02 | | Portugal Azores Terceira Island | 2.6 | 0.0132 | | 130 | See | | |
|
27,297 |
A*68:02 | | Portugal Center | | 0.0100 | | 50 | See | | | |
27,298 |
A*68:02 | | Portugal North | | 0 | | 46 | See | | | |
27,299 |
A*68:02 | | Portugal South | | 0.0200 | | 49 | See | | | |
27,300 |
A*68:02 | | Romania | 0.0 | 0 | | 348 | 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.