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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 |
301 |
A*11:01:01 | | China Yunnan Province Lisu | | 0.4550 | | 111 | See | | | |
302 |
A*11:01:01 | | China Yunnan Province Nu | | 0.4810 | | 107 | See | | | |
303 |
A*11:01:01 | | China Yunnan Province Wa | | 0.5840 | | 119 | See | | | |
304 |
A*11:01:01 | | China Zhejiang Han | | 0.2581 | | 1,734 | See | | |
|
305 |
A*11:01:01 | | Colombia Embera NA-DHS_19 (G) | 7.1 (*) | 0.0357 (*) | | 14 | See | | |
|
306 |
A*11:01:01 | | Colombia Inga NA-DHS_11 (G) | 13.3 (*) | 0.0667 (*) | | 16 | See | | |
|
307 |
A*11:01:01 | | Costa Rica African -Caribbean (G) | 1.0 (*) | 0.0050 (*) | | 102 | See | | |
|
308 |
A*11:01:01 | | Costa Rica Amerindians (G) | 0.8 (*) | 0.0040 (*) | | 125 | See | | |
|
309 |
A*11:01:01 | | Costa Rica Central Valley Mestizo (G) | 4.6 (*) | 0.0230 (*) | | 221 | See | | |
|
310 |
A*11:01:01 | | Costa Rica Guanacaste Mestizo (G) | 6.4 (*) | 0.0320 (*) | | 110 | See | | |
|
311 |
A*11:01:01 | | England Blood Donors of Mixed Ethnicity | 11.4 | 0.0578 | | 519 | See | | |
|
312 |
A*11:01:01 | | Guatemala Kaqchikel NA-DHS_8 (G) | 5.3 (*) | 0.0263 (*) | | 19 | See | | |
|
313 |
A*11:01:01 | | Guinea Bissau | | 0 | | 65 | See | | | |
314 |
A*11:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 50.6 | 0.2984 | | 5,266 | See | | |
|
315 |
A*11:01:01 | | India Andhra Pradesh Telugu Speaking | 29.0 | 0.1586 | | 186 | See | | |
|
316 |
A*11:01:01 | | India Karnataka Kannada Speaking | 17.8 | 0.1000 | | 174 | See | | |
|
317 |
A*11:01:01 | | India Kerala Malayalam speaking | 31.2 | 0.1670 | | 356 | See | | |
|
318 |
A*11:01:01 | | India Khandesh Region Pawra | | 0.2100 | | 50 | See | | | |
319 |
A*11:01:01 | | India Tamil Nadu Nadar | | 0.0980 | | 61 | See | | | |
320 |
A*11:01:01 | | India West Bhil | | 0 | | 50 | See | | | |
321 |
A*11:01:01 | | India West Coast Parsi | | 0.0900 | | 50 | See | | | |
322 |
A*11:01:01 | | Indonesia Java pop 2 | | 0.1390 | | 36 | See | | | |
323 |
A*11:01:01 | | Indonesia Sundanese and Javanese | | 0.1640 | | 201 | See | | | |
324 |
A*11:01:01 | | Iran Baloch | | 0.1460 | | 100 | See | | | |
325 |
A*11:01:01 | | Japan Okinawa Ryukyuan | | 0.0560 | | 143 | See | | | |
326 |
A*11:01:01 | | Libya Cyrenaica | | 0.0250 | | 118 | See | | | |
327 |
A*11:01:01 | | Madeira | | 0.0590 | | 185 | See | | | |
328 |
A*11:01:01 | | Mexico Guadalajara Mestizo pop 2 | | 0.0340 | | 103 | See | | | |
329 |
A*11:01:01 | | Mexico Hidalgo Mezquital Valley/ Otomi | 2.8 | 0.0139 | | 72 | See | | | |
330 |
A*11:01:01 | | Mongolia Buryat | | 0.0750 | | 141 | See | | | |
331 |
A*11:01:01 | | Morocco Atlantic Coast Chaouya | | 0.0340 | | 98 | See | | | |
332 |
A*11:01:01 | | Morocco Nador Metalsa pop 2 | | 0.0480 | | 73 | See | | | |
333 |
A*11:01:01 | | Morocco Settat Chaouya | 6.8 | 0.0340 | | 98 | See | | | |
334 |
A*11:01:01 | | Nicaragua Mestizo (G) | 9.6 (*) | 0.0480 (*) | | 155 | See | | |
|
335 |
A*11:01:01 | | Poland BMR | 11.8 | 0.0608 | | 23,595 | See | | |
|
336 |
A*11:01:01 | | Russia Belgorod region | 12.4 | 0.0654 | | 153 | See | | |
|
337 |
A*11:01:01 | | Russia Bashkortostan, Bashkirs | 5.0 | 0.0250 | | 120 | See | | |
|
338 |
A*11:01:01 | | Russia Bashkortostan, Tatars | 0.5 | 0.0026 | | 192 | See | | |
|
339 |
A*11:01:01 | | Russia Nizhny Novgorod, Russians | 0.1 | 0.0007 | | 1,510 | See | | |
|
340 |
A*11:01:01 | | Russian Federation Vologda Region | 4.2 | 0.0210 | | 119 | See | | |
|
341 |
A*11:01:01 | | Saudi Arabia pop 5 | 3.2 | 0.0158 | | 158 | See | | | |
342 |
A*11:01:01 | | Saudi Arabia pop 6 (G) | | 0.0350 (*) | | 28,927 | See | | | |
343 |
A*11:01:01 | | South Africa Caucasians | | 0.0600 | | 102 | See | | | |
344 |
A*11:01:01 | | South African Black | 2.8 | 0.0141 | | 142 | See | | |
|
345 |
A*11:01:01 | | South African Indian population | 28.0 | 0.1700 | | 50 | See | | |
|
346 |
A*11:01:01 | | South African Mixed ancestry | 10.0 | 0.0600 | | 50 | See | | |
|
347 |
A*11:01:01 | | South Korea pop 3 | | 0 | | 485 | See | | | |
348 |
A*11:01:01 | | Spain, Canary Islands, Gran canaria island | 10.7 | 0.0581 | | 215 | See | | |
|
349 |
A*11:01:01 | | USA African American pop 3 | | 0.0130 | | 564 | See | | | |
350 |
A*11:01:01 | | USA Arizona Gila River Pima | | 0.0009 | | 3,000 | See | | | |
351 |
A*11:01:01 | | USA Arizona Pima | | 0.0120 | | 100 | See | | | |
352 |
A*11:01:01 | | USA Italy Ancestry | | 0.0600 | | 273 | See | | | |
353 |
A*11:01:01 | | USA Mexican American Mestizo | | 0.0420 | | 553 | See | | |
|
354 |
A*11:01:01 | | USA San Francisco Caucasian | | 0.0550 | | 220 | See | | | |
355 |
A*11:01:01 | | USA South Dakota Lakota Sioux | | 0.0120 | | 302 | See | | | |
356 |
A*11:01:01 | | USA Spain Ancestry | | 0.0220 | | 279 | See | | | |
357 |
A*11:01:01 | | Vietnam Kinh | 41.0 | 0.2277 | | 101 | See | | |
|
358 |
A*11:01:01:01 | | Russia Bashkortostan, Bashkirs | 4.2 | 0.0208 | | 120 | See | | |
|
359 |
A*11:01:01:01 | | Russia Bashkortostan, Tatars | 15.1 | 0.0807 | | 192 | See | | |
|
360 |
A*11:01:01:01 | | Russia Nizhny Novgorod, Russians | 11.6 | 0.0589 | | 1,510 | See | | |
|
361 |
A*11:01:02 | | Bulgaria | | 0 | | 55 | See | | | |
362 |
A*11:01:02 | | China North Han | | 0 | | 105 | See | | | |
363 |
A*11:01:02 | | Morocco Nador Metalsa pop 2 | | 0 | | 73 | See | | | |
364 |
A*11:01:02 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
365 |
A*11:01:02 | | South Korea pop 3 | | 0 | | 485 | See | | | |
366 |
A*11:01:03 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
367 |
A*11:01:04 | | China Zhejiang Han | | 0.0003 | | 1,734 | See | | |
|
368 |
A*11:01:04 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
369 |
A*11:01:05 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
370 |
A*11:01:06 | | Hong Kong Chinese HKBMDR HLA 11 loci | 0.0 | 0.0000900 | | 5,266 | See | | |
|
371 |
A*11:01:06 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
372 |
A*11:01:07 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
373 |
A*11:01:07 | | Saudi Arabia pop 5 | 0.6 | 0.0032 | | 158 | See | | | |
374 |
A*11:01:08 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
375 |
A*11:01:09 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
376 |
A*11:01:10 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
377 |
A*11:01:11 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
378 |
A*11:01:12 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
379 |
A*11:01:13 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
380 |
A*11:01:14 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
381 |
A*11:01:15 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
382 |
A*11:01:16 | | Morocco Settat Chaouya | 0.0 | 0 | | 98 | See | | | |
383 |
A*11:01:58 | | USA Arizona Gila River Pima | | 0.0002 | | 3,000 | See | | | |
384 |
A*11:01:79 | | Poland BMR | 0.2 | 0.0011 | | 23,595 | See | | |
|
385 |
A*11:01:79 | | Russia Belgorod region | 0.7 | 0.0033 | | 153 | See | | |
|
386 |
A*11:01:79 | | Russian Federation Vologda Region | 0.8 | 0.0042 | | 119 | 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 301 to 386
(from 386) records |
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