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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 |
59,201 |
DRB1*15:01 | | Martinique | | 0.0200 | | 100 | See | | | |
59,202 |
DRB1*15:01 | | Mexico Guanajuato and Jalisco Mestizo | 7.9 | 0.0400 | | 101 | See | | | |
59,203 |
DRB1*15:01 | | Mexico Highlands Mestizos | 10.6 | 0.0530 | | 160 | See | | | |
59,204 |
DRB1*15:01 | | Mexico Mexico City Mestizo pop 2 | | 0.0363 | | 234 | See | | | |
59,205 |
DRB1*15:01 | | Mexico Nuevo Leon Mestizo | 17.5 | 0.0890 | | 40 | See | | | |
59,206 |
DRB1*15:01 | | Mongolia Khalkha | | 0.0600 | | 200 | See | | | |
59,207 |
DRB1*15:01 | | Mongolia Oold | | 0.0480 | | 104 | See | | | |
59,208 |
DRB1*15:01 | | Mongolia Tarialan Khoton | | 0.0360 | | 85 | See | | | |
59,209 |
DRB1*15:01 | | Mongolia Tsaatan | | 0.0630 | | 144 | See | | | |
59,210 |
DRB1*15:01 | | Mongolia Ulaanbaatar Khalkha | | 0.0730 | | 41 | See | | | |
59,211 |
DRB1*15:01 | | Morocco | | 0.0660 | | 96 | See | | | |
59,212 |
DRB1*15:01 | | Morocco Souss Region | | 0.0690 | | 98 | See | | | |
59,213 |
DRB1*15:01 | | Nauru | | 0.0820 | | 67 | See | | | |
59,214 |
DRB1*15:01 | | New Caledonia | | 0.1390 | | 65 | See | | | |
59,215 |
DRB1*15:01 | | Niue | | 0.0210 | | 70 | See | | | |
59,216 |
DRB1*15:01 | | Norway | | 0.1700 | | 181 | See | | | |
59,217 |
DRB1*15:01 | | Papua New Guinea Abam | | 0.2060 | | 63 | See | | | |
59,218 |
DRB1*15:01 | | Papua New Guinea Dorogori | | 0.1270 | | 59 | See | | | |
59,219 |
DRB1*15:01 | | Papua New Guinea East New Britain Rabaul | | 0 | | 60 | See | | | |
59,220 |
DRB1*15:01 | | Papua New Guinea East New Britain Tolai | | 0.0110 | | 48 | See | | | |
59,221 |
DRB1*15:01 | | Papua New Guinea Eastern Highlands Goroka Asaro | | 0.2980 | | 57 | See | | | |
59,222 |
DRB1*15:01 | | Papua New Guinea Highland | | 0.2820 | | 94 | See | | | |
59,223 |
DRB1*15:01 | | Papua New Guinea Highland pop2 | | 0.0180 | | 28 | See | | | |
59,224 |
DRB1*15:01 | | Papua New Guinea Iamega | | 0.1270 | | 79 | See | | | |
59,225 |
DRB1*15:01 | | Papua New Guinea Kapal | | 0.2150 | | 65 | See | | | |
59,226 |
DRB1*15:01 | | Papua New Guinea Kuru | | 0.3260 | | 46 | See | | | |
59,227 |
DRB1*15:01 | | Papua New Guinea Lowland | | 0.0780 | | 47 | See | | | |
59,228 |
DRB1*15:01 | | Papua New Guinea Lowland Wosera | | 0 | | 79 | See | | | |
59,229 |
DRB1*15:01 | | Papua New Guinea Madang | | 0.0460 | | 65 | See | | | |
59,230 |
DRB1*15:01 | | Papua New Guinea Podare | | 0.1510 | | 43 | See | | | |
59,231 |
DRB1*15:01 | | Papua New Guinea Rual | | 0.2100 | | 50 | See | | | |
59,232 |
DRB1*15:01 | | Papua New Guinea South Gidra | | 0.1950 | | 192 | See | | | |
59,233 |
DRB1*15:01 | | Papua New Guinea Ume | | 0.2890 | | 90 | See | | | |
59,234 |
DRB1*15:01 | | Papua New Guinea Wipim | | 0.1550 | | 55 | See | | | |
59,235 |
DRB1*15:01 | | Papua New Guinea Woigi | | 0.2880 | | 26 | See | | | |
59,236 |
DRB1*15:01 | | Papua New Guinea Wonie | | 0.2160 | | 51 | See | | | |
59,237 |
DRB1*15:01 | | Papua New Guinea Wuroi | | 0.1030 | | 34 | See | | | |
59,238 |
DRB1*15:01 | | Philippines | | 0 | | 34 | See | | | |
59,239 |
DRB1*15:01 | | Poland | | 0.1280 | | 200 | See | | | |
59,240 |
DRB1*15:01 | | Poland DKMS | | 0.1216 | | 20,653 | See | | | |
59,241 |
DRB1*15:01 | | Portugal Center | | 0.1000 | | 50 | See | | | |
59,242 |
DRB1*15:01 | | Portugal North | | 0.1090 | | 46 | See | | | |
59,243 |
DRB1*15:01 | | Portugal South | | 0.0200 | | 49 | See | | | |
59,244 |
DRB1*15:01 | | Russia Chuvash | | 0.1950 | | 82 | See | | | |
59,245 |
DRB1*15:01 | | Russia Northwest Slavic | | 0.1150 | | 200 | See | | | |
59,246 |
DRB1*15:01 | | Russia Sakhalin Island Nivkhi | | 0.0280 | | 53 | See | | | |
59,247 |
DRB1*15:01 | | Russia Siberia Chukchi | | 0 | | 71 | See | | | |
59,248 |
DRB1*15:01 | | Russia Siberia Chukotka Peninsula Chukchi | | 0.0100 | | 59 | See | | | |
59,249 |
DRB1*15:01 | | Russia Siberia Chukotka Peninsula Eskimo | | 0 | | 80 | See | | | |
59,250 |
DRB1*15:01 | | Russia Siberia Dudinka Nganasan | | 0.0210 | | 24 | See | | | |
59,251 |
DRB1*15:01 | | Russia Siberia Eskimo | | 0.0090 | | 70 | See | | | |
59,252 |
DRB1*15:01 | | Russia Siberia Gvaysugi Udege | | 0 | | 25 | See | | | |
59,253 |
DRB1*15:01 | | Russia Siberia Irkutsk Tofalar | | 0.1510 | | 43 | See | | | |
59,254 |
DRB1*15:01 | | Russia Siberia Khabarovsk Evenki | | 0.0800 | | 25 | See | | | |
59,255 |
DRB1*15:01 | | Russia Siberia Khanty Mansi | | 0.1030 | | 68 | See | | | |
59,256 |
DRB1*15:01 | | Russia Siberia Kushun Buryat | | 0.1800 | | 25 | See | | | |
59,257 |
DRB1*15:01 | | Russia Siberia Lower Yenisey Ket | | 0.0880 | | 17 | See | | | |
59,258 |
DRB1*15:01 | | Russia Siberia Negidal | | 0.0430 | | 35 | See | | | |
59,259 |
DRB1*15:01 | | Russia Siberia North East Kamchatka Koryak | | 0.0100 | | 92 | See | | | |
59,260 |
DRB1*15:01 | | Russia Siberia NW of Sakhalin Island Nivkh | | 0.0200 | | 32 | See | | | |
59,261 |
DRB1*15:01 | | Russia Siberia Polygus Evenk | | 0.0600 | | 35 | See | | | |
59,262 |
DRB1*15:01 | | Russia Siberia Sulamai Ket | | 0.0700 | | 22 | See | | | |
59,263 |
DRB1*15:01 | | Russia Siberia Ulchi | | 0.0550 | | 73 | See | | | |
59,264 |
DRB1*15:01 | | Russia Tuva | | 0.1140 | | 190 | See | | | |
59,265 |
DRB1*15:01 | | Russia Tuva pop 2 | | 0.1220 | | 169 | See | | | |
59,266 |
DRB1*15:01 | | Russia Tuva pop3 | | 0.0910 | | 44 | See | | | |
59,267 |
DRB1*15:01 | | Russia Tuva Todja | | 0.2040 | | 22 | See | | | |
59,268 |
DRB1*15:01 | | Samoa | | 0.0350 | | 29 | See | | | |
59,269 |
DRB1*15:01 | | Samoa West | | 0.0230 | | 22 | See | | | |
59,270 |
DRB1*15:01 | | Sao Tome Island Angolar | | 0.0310 | | 32 | See | | | |
59,271 |
DRB1*15:01 | | Sao Tome Island Forro | | 0.0230 | | 66 | See | | | |
59,272 |
DRB1*15:01 | | Saudi Arabia | 0.0 | 0 | | 18 | See | | | |
59,273 |
DRB1*15:01 | | Scotland Orkney | 34.6 | 0.1810 | | 99 | See | | | |
59,274 |
DRB1*15:01 | | Slovenia | 18.0 | 0.0944 | | 100 | See | | | |
59,275 |
DRB1*15:01 | | Slovenia pop 2 | 16.4 | 0.0856 | | 140 | See | | | |
59,276 |
DRB1*15:01 | | South Korea pop 2 | 16.9 | 0.0870 | | 207 | See | | | |
59,277 |
DRB1*15:01 | | South Korea pop 3 | | 0.0740 | | 485 | See | | | |
59,278 |
DRB1*15:01 | | South Korea pop 4 | 12.3 | 0.0635 | | 211 | See | | | |
59,279 |
DRB1*15:01 | | South Korea pop 6 | | 0.0800 | | 800 | See | | | |
59,280 |
DRB1*15:01 | | Spain Arratia Valley Basque | | 0.1670 | | 83 | See | | | |
59,281 |
DRB1*15:01 | | Spain Barcelona | 14.1 | 0.0710 | | 941 | See | | | |
59,282 |
DRB1*15:01 | | Spain Malaga | 21.3 | 0.1128 | | 160 | See | | | |
59,283 |
DRB1*15:01 | | Spain Malaga Romani | 6.3 | 0.0320 | | 80 | See | | | |
59,284 |
DRB1*15:01 | | Spain Murcia | | 0.0520 | | 173 | See | | | |
59,285 |
DRB1*15:01 | | Spain North Cabuerniga | | 0.3000 | | 95 | See | | | |
59,286 |
DRB1*15:01 | | Spain North Cantabria | | 0.2530 | | 83 | See | | | |
59,287 |
DRB1*15:01 | | Spain Pas Valley | | 0.3210 | | 88 | See | | | |
59,288 |
DRB1*15:01 | | Sweden Northern Sami | | 0.0750 | | 154 | See | | | |
59,289 |
DRB1*15:01 | | Sweden Southern Sami | | 0.1470 | | 130 | See | | | |
59,290 |
DRB1*15:01 | | Switzerland Aargau-Solothurn | | 0.1068 | | 1,838 | See | | | |
59,291 |
DRB1*15:01 | | Taiwan Aborigine pop 2 | | 0.0620 | | 48 | See | | | |
59,292 |
DRB1*15:01 | | Taiwan Han Chinese | | 0.0680 | | 504 | See | | | |
59,293 |
DRB1*15:01 | | Taiwan pop 2 | | 0.0900 | | 364 | See | | | |
59,294 |
DRB1*15:01 | | Taiwan Tzu Chi Cord Blood Bank | | 0.0890 | | 710 | See | | | |
59,295 |
DRB1*15:01 | | Thailand | | 0.0770 | | 142 | See | | | |
59,296 |
DRB1*15:01 | | Thailand Bangkok pop 2 | | 0.0600 | | 50 | See | | | |
59,297 |
DRB1*15:01 | | Thailand Bangkok pop 3 | | 0.0670 | | 187 | See | | | |
59,298 |
DRB1*15:01 | | Thailand Kamphaeng Phet | | 0.0670 | | 97 | See | | | |
59,299 |
DRB1*15:01 | | Thailand North Dai Lue | | 0.0680 | | 96 | See | | | |
59,300 |
DRB1*15:01 | | Thailand Northeast | | 0.0760 | | 66 | 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.