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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 |
1,201 |
A*02:06 | | Germany DKMS - Turkey minority | | 0.0058 | | 4,856 | See | | | |
1,202 |
A*02:06 | | Germany DKMS - United Kingdom minority | | 0.0010 | | 1,043 | See | | | |
1,203 |
A*02:06 | | Germany pop 6 | | 0.0025 | | 8,862 | See | | | |
1,204 |
A*02:06 | | Ghana Ga-Adangbe | 0.8 | 0.0038 | | 131 | See | | | |
1,205 |
A*02:06 | | Guinea Bissau Balanta | | 0 | | 48 | See | | | |
1,206 |
A*02:06 | | Guinea Bissau Bijago | | 0.0220 | | 23 | See | | | |
1,207 |
A*02:06 | | Guinea Bissau Fula | | 0 | | 31 | See | | | |
1,208 |
A*02:06 | | Guinea Bissau Papel | | 0 | | 25 | See | | | |
1,209 |
A*02:06 | | India Delhi pop 2 | 14.4 | 0.0770 | | 90 | See | | | |
1,210 |
A*02:06 | | India North pop 2 | | 0.0290 | | 72 | See | | | |
1,211 |
A*02:06 | | Indonesia Java Western | 6.8 | 0.0350 | | 236 | See | | | |
1,212 |
A*02:06 | | Iran Baloch | | 0.0110 | | 100 | See | | | |
1,213 |
A*02:06 | | Ireland Northern | 0.0 | 0 | | 1,000 | See | | | |
1,214 |
A*02:06 | | Italy Bergamo | 0.0 | 0 | | 101 | See | | | |
1,215 |
A*02:06 | | Italy North pop 3 | 0.0 | 0 | | 97 | See | | | |
1,216 |
A*02:06 | | Italy pop 5 | | 0.0030 | | 975 | See | | | |
1,217 |
A*02:06 | | Japan Central | | 0.0770 | | 371 | See | | | |
1,218 |
A*02:06 | | Japan Hokkaido Ainu | | 0.2000 | | 50 | See | | | |
1,219 |
A*02:06 | | Japan pop 3 | | 0.0870 | | 1,018 | See | | | |
1,220 |
A*02:06 | | Japan pop 5 | | 0.0840 | | 117 | See | | | |
1,221 |
A*02:06 | | Kenya Luo | | 0 | | 265 | See | | | |
1,222 |
A*02:06 | | Kenya Nandi | | 0 | | 240 | See | | | |
1,223 |
A*02:06 | | Malaysia Perak Grik Jehai | | 0.0200 | | 25 | See | | | |
1,224 |
A*02:06 | | Mali Bandiagara | | 0 | | 138 | See | | | |
1,225 |
A*02:06 | | Mexico Chihuahua Tarahumara | | 0.1250 | | 44 | See | | | |
1,226 |
A*02:06 | | Mexico Mestizo | 12.2 | 0.0610 | | 41 | See | | | |
1,227 |
A*02:06 | | Mexico Mexico City Mestizo pop 2 | | 0.0962 | | 234 | See | | | |
1,228 |
A*02:06 | | Mexico Oaxaca Mixe | | 0.3490 | | 55 | See | | | |
1,229 |
A*02:06 | | Mexico Oaxaca Mixtec | | 0.2160 | | 103 | See | | | |
1,230 |
A*02:06 | | Mexico Oaxaca Zapotec | | 0.2610 | | 90 | See | | | |
1,231 |
A*02:06 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
1,232 |
A*02:06 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,233 |
A*02:06 | | New Caledonia | | 0 | | 65 | See | | | |
1,234 |
A*02:06 | | Oman | 0.0 | 0 | | 118 | See | | | |
1,235 |
A*02:06 | | Pakistan Baloch | | 0.0160 | | 66 | See | | | |
1,236 |
A*02:06 | | Pakistan Brahui | | 0.0230 | | 104 | See | | | |
1,237 |
A*02:06 | | Pakistan Burusho | | 0.0600 | | 92 | See | | | |
1,238 |
A*02:06 | | Pakistan Kalash | | 0.2160 | | 69 | See | | | |
1,239 |
A*02:06 | | Pakistan Karachi Parsi | | 0.0110 | | 91 | See | | | |
1,240 |
A*02:06 | | Pakistan Mixed Pathan | | 0.0310 | | 100 | See | | | |
1,241 |
A*02:06 | | Pakistan Mixed Sindhi | | 0.0320 | | 101 | See | | | |
1,242 |
A*02:06 | | Papua New Guinea East New Britain Rabaul | | 0 | | 60 | See | | | |
1,243 |
A*02:06 | | Papua New Guinea Eastern Highlands Goroka Asaro | | 0.0260 | | 57 | See | | | |
1,244 |
A*02:06 | | Papua New Guinea Karimui Plateau Pawaia | | 0 | | 80 | See | | | |
1,245 |
A*02:06 | | Papua New Guinea Madang | | 0 | | 65 | See | | | |
1,246 |
A*02:06 | | Papua New Guinea Wanigela Keapara | | 0.0210 | | 66 | See | | | |
1,247 |
A*02:06 | | Papua New Guinea West Schrader Ranges Haruai | | 0 | | 55 | See | | | |
1,248 |
A*02:06 | | Papua New Guinea Wosera Abelam | | 0 | | 131 | See | | | |
1,249 |
A*02:06 | | Poland DKMS | | 0.0022 | | 20,653 | See | | | |
1,250 |
A*02:06 | | Russia Tuva pop 2 | | 0.0690 | | 169 | See | | | |
1,251 |
A*02:06 | | Scotland Orkney | 0.0 | 0 | | 99 | See | | | |
1,252 |
A*02:06 | | Senegal Niokholo Mandenka | | 0.0050 | | 165 | See | | | |
1,253 |
A*02:06 | | Singapore Chinese | 7.4 | 0.0400 | | 149 | See | | | |
1,254 |
A*02:06 | | South Africa Natal Zulu | 0.0 | 0 | | 100 | See | | | |
1,255 |
A*02:06 | | South Korea pop 3 | | 0.0710 | | 485 | See | | | |
1,256 |
A*02:06 | | Sri Lanka Colombo Sinhalese | | 0.0240 | | 101 | See | | | |
1,257 |
A*02:06 | | Sweden Northern Sami | | 0.0140 | | 154 | See | | | |
1,258 |
A*02:06 | | Sweden Southern Sami | | 0.0120 | | 130 | See | | | |
1,259 |
A*02:06 | | Taiwan Han Chinese | | 0.0270 | | 504 | See | | | |
1,260 |
A*02:06 | | Taiwan pop 2 | | 0.0260 | | 364 | See | | | |
1,261 |
A*02:06 | | Taiwan pop 3 | | 0.0240 | | 212 | See | | | |
1,262 |
A*02:06 | | Taiwan Tzu Chi Cord Blood Bank | | 0.0310 | | 710 | See | | | |
1,263 |
A*02:06 | | Thailand | | 0.0250 | | 142 | See | | | |
1,264 |
A*02:06 | | Tunisia | 0.0 | 0 | | 100 | See | | | |
1,265 |
A*02:06 | | Uganda Kampala | | 0.0030 | | 161 | See | | | |
1,266 |
A*02:06 | | USA African American pop 4 | | 0.0002 | | 2,411 | See | | | |
1,267 |
A*02:06 | | USA Alaska Yupik | | 0.1650 | | 252 | See | | | |
1,268 |
A*02:06 | | USA Arizona Gila River Amerindian | | 0.0690 | | 492 | See | | | |
1,269 |
A*02:06 | | USA Asian pop 2 | | 0.0483 | | 1,772 | See | | | |
1,270 |
A*02:06 | | USA Caucasian pop 4 | | 0.0037 | | 1,070 | See | | | |
1,271 |
A*02:06 | | USA Eastern European | | 0.0040 | | 558 | See | | | |
1,272 |
A*02:06 | | USA Hispanic pop 2 | | 0.0392 | | 1,999 | See | | | |
1,273 |
A*02:06 | | USA South Dakota Lakota Sioux | | 0.1050 | | 302 | See | | | |
1,274 |
A*02:06 | | Vietnam Hanoi Kinh pop 2 | | 0.0470 | | 170 | See | | | |
1,275 |
A*02:06 | | Zambia Lusaka | | 0.0120 | | 44 | See | | | |
1,276 |
A*02:06:01 | | Chile Easter Island | | 0.0480 | | 21 | See | | | |
1,277 |
A*02:06:01 | | China Guizhou Province Bouyei | | 0.0310 | | 109 | See | | | |
1,278 |
A*02:06:01 | | China Guizhou Province Miao pop 2 | | 0 | | 85 | See | | | |
1,279 |
A*02:06:01 | | China Guizhou Province Shui | | 0.0260 | | 153 | See | | | |
1,280 |
A*02:06:01 | | China Inner Mongolia Region | | 0.0250 | | 102 | See | | | |
1,281 |
A*02:06:01 | | China Qinghai Province Hui | | 0.0500 | | 110 | See | | | |
1,282 |
A*02:06:01 | | China Tibet Region Tibetan | | 0.1010 | | 158 | See | | | |
1,283 |
A*02:06:01 | | China Yunnan Province Jinuo | | 0.0090 | | 109 | See | | | |
1,284 |
A*02:06:01 | | China Yunnan Province Lisu | | 0.0340 | | 111 | See | | | |
1,285 |
A*02:06:01 | | China Yunnan Province Wa | | 0 | | 119 | See | | | |
1,286 |
A*02:06:01 | | Indonesia Java pop 2 | | 0.0280 | | 36 | See | | | |
1,287 |
A*02:06:01 | | Indonesia Sundanese and Javanese | | 0.0350 | | 201 | See | | | |
1,288 |
A*02:06:01 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,289 |
A*02:06:01 | | USA Mexican American Mestizo | | 0.0670 | | 553 | See | | |
|
1,290 |
A*02:06:02 | | China North Han | | 0 | | 105 | See | | | |
1,291 |
A*02:06:02 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,292 |
A*02:06:03 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,293 |
A*02:06:04 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,294 |
A*02:06:05 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,295 |
A*02:06:06 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,296 |
A*02:06:07 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,297 |
A*02:06:08 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,298 |
A*02:06:09 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
1,299 |
A*02:07 | | Australia New South Wales Caucasian | | 0.0080 | | 134 | See | | | |
1,300 |
A*02:07 | | Australia Yuendumu Aborigine | | 0 | | 191 | 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.
Displaying 1,201 to 1,300
(from 60,683) records |
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