Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
301 |
A*24:02 | | Zambia Lusaka | | 0 | | 44 | See | | | |
302 |
A*24:02 | | Zimbabwe Harare Shona | | 0.0040 | | 230 | See | | | |
303 |
A*24:02:01 | | Brazil Barra Mansa Rio State Black | | 0.0274 | | 73 | See | | |
|
304 |
A*24:02:01 | | Brazil Barra Mansa Rio State Caucasian | | 0.0815 | | 405 | See | | |
|
305 |
A*24:02:01 | | Brazil Rio de Janeiro Black | | 0.0809 | | 68 | See | | |
|
306 |
A*24:02:01 | | Brazil Rio de Janeiro Caucasian | | 0.0864 | | 521 | See | | |
|
307 |
A*24:02:01 | | Brazil Rio de Janeiro Parda | | 0.0765 | | 170 | See | | |
|
308 |
A*24:02:01 | | China Jingpo Minority | 26.2 | 0.1410 | | 105 | See | | |
|
309 |
A*24:02:01 | | China Zhejiang Han | | 0.1670 | | 1,734 | See | | |
|
310 |
A*24:02:01 | | Costa Rica African -Caribbean (G) | 6.8 (*) | 0.0390 (*) | | 102 | See | | |
|
311 |
A*24:02:01 | | Costa Rica Amerindians (G) | 56.5 (*) | 0.3510 (*) | | 125 | See | | |
|
312 |
A*24:02:01 | | Costa Rica Central Valley Mestizo (G) | 25.4 (*) | 0.1360 (*) | | 221 | See | | |
|
313 |
A*24:02:01 | | Costa Rica Guanacaste Mestizo (G) | 28.2 (*) | 0.1500 (*) | | 110 | See | | |
|
314 |
A*24:02:01 | | England Blood Donors of Mixed Ethnicity | 12.3 | 0.0645 | | 519 | See | | |
|
315 |
A*24:02:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 25.0 | 0.1346 | | 5,266 | See | | |
|
316 |
A*24:02:01 | | India Andhra Pradesh Telugu Speaking | 25.8 | 0.1371 | | 186 | See | | |
|
317 |
A*24:02:01 | | India Karnataka Kannada Speaking | 29.3 | 0.1550 | | 174 | See | | |
|
318 |
A*24:02:01 | | India Kerala Malayalam speaking | 28.1 | 0.1544 | | 356 | See | | |
|
319 |
A*24:02:01 | | Japan Okinawa Ryukyuan | | 0.3350 | | 143 | See | | | |
320 |
A*24:02:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 29.2 | 0.1875 | | 72 | See | | | |
321 |
A*24:02:01 | | Mongolia Buryat | | 0.2000 | | 141 | See | | | |
322 |
A*24:02:01 | | Nicaragua Mestizo (G) | 25.9 (*) | 0.1390 (*) | | 155 | See | | |
|
323 |
A*24:02:01 | | Poland BMR | 17.8 | 0.0920 | | 23,595 | See | | |
|
324 |
A*24:02:01 | | Russia Belgorod region | 19.6 | 0.1046 | | 153 | See | | |
|
325 |
A*24:02:01 | | Russia Bashkortostan, Bashkirs | 13.3 | 0.0792 | | 120 | See | | |
|
326 |
A*24:02:01 | | Russia Bashkortostan, Tatars | 1.0 | 0.0052 | | 192 | See | | |
|
327 |
A*24:02:01 | | Russia Nizhny Novgorod, Russians | 3.4 | 0.0169 | | 1,510 | See | | |
|
328 |
A*24:02:01 | | Russian Federation Vologda Region | 17.6 | 0.1008 | | 119 | See | | |
|
329 |
A*24:02:01 | | Saudi Arabia pop 6 (G) | | 0.0747 (*) | | 28,927 | See | | | |
330 |
A*24:02:01 | | South Africa Caucasians | | 0.0700 | | 102 | See | | | |
331 |
A*24:02:01 | | South African Black | 4.2 | 0.0211 | | 142 | See | | |
|
332 |
A*24:02:01 | | South African Indian population | 28.0 | 0.1600 | | 50 | See | | |
|
333 |
A*24:02:01 | | South African Mixed ancestry | 18.0 | 0.0900 | | 50 | See | | |
|
334 |
A*24:02:01 | | Spain, Canary Islands, Gran canaria island | 17.7 | 0.0930 | | 215 | See | | |
|
335 |
A*24:02:01 | | USA Arizona Gila River Pima | | 0.3552 | | 3,000 | See | | | |
336 |
A*24:02:01 | | USA Mexican American Mestizo | | 0.1460 | | 553 | See | | |
|
337 |
A*24:02:01 | | USA San Francisco Caucasian | | 0.0750 | | 220 | See | | | |
338 |
A*24:02:01 | | Vietnam Kinh | 26.0 | 0.1287 | | 101 | See | | |
|
339 |
A*24:02:01:01 | | Bolivia/Chile Aymara NA-DHS_13 (G) | 35.0 (*) | 0.1750 (*) | | 20 | See | | |
|
340 |
A*24:02:01:01 | | Bolivia/Peru Quechua NA-DHS_12 (G) | 28.6 (*) | 0.1429 (*) | | 21 | See | | |
|
341 |
A*24:02:01:01 | | Brazil Belo Horizonte Caucasian | 22.1 | 0.1160 | | 95 | See | | | |
342 |
A*24:02:01:01 | | Brazil Mixed | | 0.0860 | | 108 | See | | | |
343 |
A*24:02:01:01 | | Bulgaria | | 0.1180 | | 55 | See | | | |
344 |
A*24:02:01:01 | | Bulgaria Romani | | 0.0830 | | 13 | See | | | |
345 |
A*24:02:01:01 | | Canada Chipewyan NA-DHS_2 (G) | 48.0 (*) | 0.2600 (*) | | 25 | See | | |
|
346 |
A*24:02:01:01 | | Canada Cree NA-DHS_3 (G) | 38.9 (*) | 0.2222 (*) | | 18 | See | | |
|
347 |
A*24:02:01:01 | | Canada Ojibwa NA-DHS_4 (G) | 33.3 (*) | 0.1667 (*) | | 16 | See | | |
|
348 |
A*24:02:01:01 | | Chile Huilliche NA-DHS_14 (G) | 25.0 (*) | 0.1500 (*) | | 20 | See | | |
|
349 |
A*24:02:01:01 | | China Guangdong Province Meizhou Han | | 0.2220 | | 100 | See | | | |
350 |
A*24:02:01:01 | | China North Han | | 0.1520 | | 105 | See | | | |
351 |
A*24:02:01:01 | | China South Han | | 0.1720 | | 284 | See | | | |
352 |
A*24:02:01:01 | | China Yunnan Province Jinuo | | 0.1830 | | 109 | See | | | |
353 |
A*24:02:01:01 | | China Yunnan Province Wa | | 0.1300 | | 119 | See | | | |
354 |
A*24:02:01:01 | | Colombia Arhuaco NA-DHS_16 (G) | 64.7 (*) | 0.4412 (*) | | 17 | See | | |
|
355 |
A*24:02:01:01 | | Colombia Embera NA-DHS_19 (G) | 92.9 (*) | 0.5357 (*) | | 14 | See | | |
|
356 |
A*24:02:01:01 | | Colombia Inga NA-DHS_11 (G) | 53.3 (*) | 0.3667 (*) | | 16 | See | | |
|
357 |
A*24:02:01:01 | | Colombia Kogi NA-DHS_17 (G) | 66.7 (*) | 0.4333 (*) | | 15 | See | | |
|
358 |
A*24:02:01:01 | | Colombia Waunana NA-DHS_20 (G) | 85.0 (*) | 0.6000 (*) | | 20 | See | | |
|
359 |
A*24:02:01:01 | | Colombia Wayuu NA-DHS_15 (G) | 40.0 (*) | 0.2000 (*) | | 15 | See | | |
|
360 |
A*24:02:01:01 | | Colombia Zenu NA-DHS_18 (G) | 75.0 (*) | 0.4167 (*) | | 16 | See | | |
|
361 |
A*24:02:01:01 | | Colombia/Brazil Ticuna Arara NA-DHS_21 (G) | 66.7 (*) | 0.5000 (*) | | 17 | See | | |
|
362 |
A*24:02:01:01 | | Colombia/Brazil Ticuna Tarapaca NA-DHS_22 (G) | 73.7 (*) | 0.5263 (*) | | 19 | See | | |
|
363 |
A*24:02:01:01 | | Costa Rica Cabecar NA-DHS_9 (G) | 52.6 (*) | 0.3421 (*) | | 19 | See | | |
|
364 |
A*24:02:01:01 | | Costa Rica Guaymi NA-DHS_10 (G) | 72.2 (*) | 0.3611 (*) | | 18 | See | | |
|
365 |
A*24:02:01:01 | | Cuba Caucasian | 21.4 | 0.1140 | | 70 | See | | | |
366 |
A*24:02:01:01 | | Cuba Mixed Race | 9.5 | 0.0480 | | 42 | See | | | |
367 |
A*24:02:01:01 | | Czech Republic | | 0.0100 | | 106 | See | | | |
368 |
A*24:02:01:01 | | Georgia Tibilisi | | 0.1710 | | 109 | See | | | |
369 |
A*24:02:01:01 | | Georgia Tibilisi Kurd | | 0.1170 | | 31 | See | | | |
370 |
A*24:02:01:01 | | Guatemala Kaqchikel NA-DHS_8 (G) | 47.4 (*) | 0.2368 (*) | | 19 | See | | |
|
371 |
A*24:02:01:01 | | Hong Kong Chinese | 28.0 | 0.1540 | | 569 | See | | | |
372 |
A*24:02:01:01 | | India Andhra Pradesh Golla | | 0.1420 | | 111 | See | | | |
373 |
A*24:02:01:01 | | India New Delhi | | 0.1140 | | 71 | See | | | |
374 |
A*24:02:01:01 | | India North pop 2 | | 0.1920 | | 72 | See | | | |
375 |
A*24:02:01:01 | | India Tamil Nadu Nadar | | 0.1560 | | 61 | See | | | |
376 |
A*24:02:01:01 | | Indonesia Java pop 2 | | 0.1390 | | 36 | See | | | |
377 |
A*24:02:01:01 | | Indonesia Sundanese and Javanese | | 0.1440 | | 201 | See | | | |
378 |
A*24:02:01:01 | | Ireland Northern | 12.0 | 0.0610 | | 1,000 | See | | | |
379 |
A*24:02:01:01 | | Israel Arab Druze | | 0.0800 | | 101 | See | | | |
380 |
A*24:02:01:01 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0770 | | 146 | See | | | |
381 |
A*24:02:01:01 | | Kenya | | 0.0210 | | 144 | See | | | |
382 |
A*24:02:01:01 | | Libya Cyrenaica | | 0.0850 | | 118 | See | | | |
383 |
A*24:02:01:01 | | Mexico Guadalajara Mestizo pop 2 | | 0.1650 | | 103 | See | | | |
384 |
A*24:02:01:01 | | Mexico Mestizo | 24.4 | 0.1340 | | 41 | See | | | |
385 |
A*24:02:01:01 | | Mexico Mixe NA-DHS_6 (G) | 10.0 (*) | 0.0750 (*) | | 20 | See | | |
|
386 |
A*24:02:01:01 | | Mexico Mixtec NA-DHS_5 (G) | 45.0 (*) | 0.2250 (*) | | 20 | See | | |
|
387 |
A*24:02:01:01 | | Mexico Zapotec NA-DHS_7 (G) | 20.0 (*) | 0.1000 (*) | | 20 | See | | |
|
388 |
A*24:02:01:01 | | Morocco Nador Metalsa pop 2 | | 0.0620 | | 73 | See | | | |
389 |
A*24:02:01:01 | | Morocco Settat Chaouya | 8.2 | 0.0410 | | 98 | See | | | |
390 |
A*24:02:01:01 | | Oman | 11.0 | 0.0590 | | 118 | See | | | |
391 |
A*24:02:01:01 | | Paraguay/Argentina Ache NA-DHS_24 (G) | 15.4 (*) | 0.0769 (*) | | 13 | See | | |
|
392 |
A*24:02:01:01 | | Paraguay/Argentina Guarani NA-DHS_23 (G) | 30.0 (*) | 0.1500 (*) | | 10 | See | | |
|
393 |
A*24:02:01:01 | | Russia Bashkortostan, Bashkirs | 9.2 | 0.0500 | | 120 | See | | |
|
394 |
A*24:02:01:01 | | Russia Bashkortostan, Tatars | 22.4 | 0.1146 | | 192 | See | | |
|
395 |
A*24:02:01:01 | | Russia Nizhny Novgorod, Russians | 18.4 | 0.0947 | | 1,510 | See | | |
|
396 |
A*24:02:01:01 | | Russia Tundra Nentsi NA-DHS_1 (G) | 37.5 (*) | 0.2188 (*) | | 16 | See | | |
|
397 |
A*24:02:01:01 | | Saudi Arabia pop 5 | 15.8 | 0.0854 | | 158 | See | | | |
398 |
A*24:02:01:01 | | Singapore Chinese | 28.2 | 0.1540 | | 149 | See | | | |
399 |
A*24:02:01:01 | | Singapore Chinese Han | | 0.2150 | | 94 | See | | | |
400 |
A*24:02:01:01 | | Singapore Javaneses | | 0.1600 | | 51 | See | | | |
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
: 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).
were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
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
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.