Allele Frequencies in World Populations

HLA Database » Allele Report

The list below shows all populations in AFND that contains the allele at this level. If an allele has an entry with a higher resolution this will be shown at the end.

   

A*02

Allele reported 440 time(s) and present in 439 population(s).

Population Phenotype
Frequency (%)
Allele
Frequency
(in_decimals)
Sample
Size
IMGT/HLA¹
Database
Distribution² Haplotype³
Association
Notesª
PERPeru Lamas City Lama0.634083See
BOLBolivia La Paz Aymaras0.603087See
PERPeru Arequipa Mestizo79.10.5450168See
BOLBolivia Quechua0.507269See
MEXMexico Mexico City North0.4973751See
MEXMexico Oaxaca, Oaxaca city0.4636151See
MEXMexico Sinaloa Capomos Mayo Yoremes0.441760See
MEXMexico Tamaulipas, Ciudad Victoria0.434823See
MEXMexico Hidalgo, Pachuca0.426841See
MEXMexico Morelos, Cuernavaca0.420782See
MEXMexico Tlaxcala Rural0.4169830See
ECUEcuador Andes Mixed Ancestry0.4102824See
MEXMexico Mexico City East0.406379See
MEXMexico Mestizo65.80.402041See
MEXMexico Aguascalientes state0.400095See
MEXMexico Huasteca Region Teenek0.398055See
MEXMexico San Vicente Tancuayalab Teenek/Huastecos0.396253See
MEXMexico Veracruz, Xalapa0.3930187See
CZECzech Republic Romani pop 260.90.391346See
MEXMexico Hidalgo Rural0.388981See
ECUEcuador Amazonia Mixed Ancestry0.384639See
MEXMexico Mexico City South0.384652See
ECUEcuador Mixed Ancestry0.38451173See
MEXMexico Veracruz, Cordoba0.383956See
CHNChina Shandong Province Linqu County61.20.3771139See
MEXMexico Veracruz Rural0.3762539See
MEXMexico Sonora Rural0.3756197See
BIHBosnia and Herzegovina pop 261.70.3750120See
MEXMexico Tlaxcala, Tlaxcala city0.3702181See
MEXMexico Guerrero state0.3681144See
MEXMexico Chiapas, Tuxtla Gutierrez0.367952See
MEXMexico Oaxaca Rural0.3676485See
MEXMexico Veracruz, Poza Rica0.366745See
COLColombia Wayu from Guajira Peninsula0.364648See
MEXMexico Puebla, Puebla city0.36421994See
MEXMexico Coahuila, Saltillo0.363072See
GTMGuatemala Mayan0.3630132See
MEXMexico San Luis Potosi Rural0.362187See
MEXMexico Jalisco, Tlaquepaque0.359039See
SWESweden Stockholm58.10.35901347See
MEXMexico Michoacan Tarasco58.40.3530130See
SWESweden Uppsala57.60.3488300See
MEXMexico Coahuila Rural0.3486216See
ESPSpain Minorca0.348094See
MEXMexico Puebla Rural0.3477833See
MEXMexico Nuevo Leon, Monterrey city0.3473226See
CHESwitzerland Aargau-Solothurn0.34721838See
BIHBosnia and Herzegovina0.3470134See
MEXMexico Baja California, La Paz0.346775See
CHNChina Harbin Manchu0.3460172See
MEXMexico Nuevo Leon Rural0.3455439See
NORNorway pop 20.3430576See
MEXMexico Chihuahua, Ciudad Juarez0.3426106See
VENVenezuela Caracas Mestizo0.340050See
RUSRussia South Ural Bashkir58.20.3360146See
MEXMexico Queretaro, Queretaro city0.333345See
MEXMexico Guanajuato, Leon0.333378See
MEXMexico Puebla Mestizo0.333099See
CHESwitzerland St Gallen0.33002113See
NORNorway ethnic Norwegians55.10.33004510See
SWESweden pop 455.20.3287966See
TWNTaiwan Chinese immigrants from Middle China0.3280211See
CUBCuba Mixed0.328078See
MEXMexico Colima, Colima city0.327961See
ALBAlbania pop 256.30.3275432See
MEXMexico Zacatecas Rural0.3271266See
MNGMongolia Oold0.3270104See
SDNSudan Khartoum0.326598See
ALBAlbanian Kosovo0.3250120See
MEXMexico Sonora, Hermosillo0.323299See
TWNTaiwan Chinese immigrants from South China0.3230172See
MKDMacedonia MBMDR - Macedonian Muslims56.60.322476See
MKDMacedonia pop 40.3220216See
MEXMexico Mexico City Mestizo0.3220121See
MEXMexico Veracruz, Veracruz city0.3198171See
MEXMexico Sinaloa Rural0.3197183See
HRVCroatia pop 20.3190100See
TWNTaiwan Minnan pop 20.31707137See
MEXMexico Jalisco, Tlajomulco0.316730See
TWNTaiwan Hakka pop 20.3160714See
MEXMexico Sinaloa, Culiacán0.3155103See
MEXMexico Queretaro Rural0.314043See
CMRCameroon Uldeme0.314035See
MEXMexico Tabasco Rural0.3134142See
CHNChina Shanghai0.313026266See
ESPSpain Majorca0.3120407See
AUTAustria49.50.3120200See
SCOScotland Orkney54.00.310099See
CHNChina Wuhan52.90.3100121See
COLColombia San Basilio de Palenque0.310042See
ITAItaly East Sicily50.00.310050See
RUSRussia Northwest52.30.30931011See
MEXMexico Mexico City Metropolitan Area Rural0.3092150See
MEXMexico Mestizo pop 40.3086269See
MEXMexico Mexico City Center0.3084152See
COLColombia Jaidukama0.308039See
MEXMexico Durango Rural0.3073326See
SRBSerbia Vojvodina51.20.3070400See
CHNChina Harbin Korean0.3070201See
GBRUnited Kingdom South West0.3067163See
ALBAlbania0.3060160See
MEXMexico Mexico City Mestizo pop 30.3050256See
SAUSaudi Arabia pop 20.3040383See
GBRUnited Kingdom East0.3037163See
PRTAzores Terceira Island0.3030130See
PRTPortugal Beja0.3030699See
CHNChina Guangdong Province51.40.3028403See
WALWales51.30.30201798See
TURTurkey pop 50.3020142See
MEXMexico Chiapas Rural0.3017121See
RUSRussia Northwest pop 251.20.3010346See
MEXMexico Michoacan Rural0.3009348See
MEXMexico Sonora, Ciudad Obregón0.3007143See
MKDMacedonia MBMDR - Macedonian51.30.30051283See
MEXMexico Baja California, Tijuana0.300025See
MEXMexico Jalisco, Tonala0.300035See
VENVenezuela Zulia Maracaibo Mixed0.300020See
ITAItaly Rome52.00.3000100See
AUTAustria Cord Bloods0.29961368See
ESPSpain Ibiza0.299088See
CHESwitzerland Lugano0.29901169See
MEXMexico Tamaulipas Rural0.2976125See
CHESwitzerland Basel0.29721888See
RUSRussia South Ural Russian51.70.2970207See
CHNChina Shaanxi Province Han0.297010000See
MEXMexico Coahuila, Torreon0.2963396See
ECUEcuador Coast Mixed Ancestry0.2962238See
TWNTaiwan Minnan and Hakka0.2960190See
CHNChina Jiangsu Province0.296020248See
MEXMexico Guanajuato, Guanajuato city0.295522See
PRTPortugal Faro0.29501242See
RUSRussia Northwest pop 354.00.2950100See
RUSRussia Moscow Pop 250.00.29482000See
SRBSerbia pop 351.00.29471992See
USAUSA OPTN Caucasian0.29308525See
ESPSpain Pas Valley0.293088See
CMRCameroon Bakola Pygmy50.00.292850See
DEUGermany49.90.292111407See
ENGEngland Leeds49.90.29215024See
CHESwitzerland Graubunden0.2921759See
WALWales pop 249.80.292039979See
THAThailand pop 40.292016807See
KORSouth Korea pop 80.29207096See
MEXMexico Veracruz, Orizaba0.291760See
MEXMexico Michoacan, Morelia0.2914150See
MEXMexico Guanajuato Rural0.2914162See
GBRUnited Kingdom Orkney0.291488See
PRTPortugal Bragança0.2910301See
FRAFrance Grenoble, Nantes and Rennes0.29106094See
MKDMacedonia0.2902286See
USAUSA Caucasian49.60.290061655See
ARGArgentina Salta Wichi pop 247.40.289019See
MEXMexico Jalisco, Zapopan0.2887168See
SAUSaudi Arabia pop 449.30.2886499See
CHNChina Shandong Province49.40.28807418See
RUSRussia Moscow0.28802650See
TWNTaiwan Chinese immigrants from North China0.2880152See
MEXMexico Jalisco Rural0.2875585See
BRABrazil Pernambuco Mixed0.2870101See
ENGEngland Sheffield49.10.28654755See
MEXMexico Zacatecas, Zacatecas city0.285784See
ITAItaly Sardinia pop30.2850100See
ARGArgentina Rosario Toba45.30.285086See
CHESwitzerland Luzern0.28481553See
MEXMexico Colima Rural0.284143See
PRTPortugal Viseu0.28402915See
PRTPortugal Coimbra0.28405057See
ROMRomania pop 350.10.28321469See
RUSRussia Sakhalin Island Nivkhi0.283053See
ENGEngland Newcastle48.50.28232739See
DEUGermany Essen51.20.2820174See
PRTPortugal Aveiro0.28205933See
BRABrazil Rio Grande do Sul Caucasoid0.28204428See
MEXMexico Chihuahua Chihuahua City0.2815119See
MEXMexico Tabasco, Villahermosa0.280582See
BRABrazil REDOME Santa Catarina0.2804106673See
MEXMexico Baja California Rural0.280050See
PRTPortugal Leiria0.28001847See
ENGEngland Lancaster48.10.2795545See
MNGMongolia Khalkha pop 20.2790202See
PRTPortugal Lisbon0.279017420See
BRABrazil Paraná Caucasian47.70.2785641See
PRTPortugal Evora0.2780737See
RUSRussia Samara Region0.27802500See
CHNChina Yunnan Province Naxi0.2780118See
USAUSA OPTN Hispanic0.27801580See
SDNSudan South Nuba47.80.277546See
PRTPortugal Braga0.27701971See
PRTPortugal Setubal0.27705268See
MEXMexico Sinaloa Mestizo0.277056See
MEXMexico Jalisco, Guadalajara city0.27681189See
MEXMexico Veracruz, Coatzacoalcos0.276855See
IRLIreland South pop 20.276217624See
PRTPortugal Santarem0.27603865See
CHESwitzerland Bern0.27503545See
PRTPortugal South pop 20.27501021See
KORSouth Korea pop 10.2750324See
MEXMexico Baja Californa, Mexicali0.2750100See
BRABrazil REDOME Roraima0.27504140See
BRABrazil REDOME Rio Grande do Sul0.2745241329See
ENGEngland Manchester47.30.27401640See
ENGEngland Liverpool47.30.27401343See
PRTPortugal Vila Real0.27401167See
RUSRussia South Ural Tatar48.90.2740135See
MEXMexico Nayarit, Tepic0.273297See
NORNorway Sami0.2730200See
PRTPortugal North pop 20.27211801See
PRTAzores0.27201050See
BRABrazil Sao Paulo Mixed47.00.2720239See
ESPSpain, Castilla y Leon, Northwest,48.50.27181743See
BRABrazil Para Cord Blood Unit47.90.2717841See
ESPSpain North Cantabria0.271083See
PRTPortugal Castelo Branco0.2710327See
POLPoland pop 353.60.27082907See
GBRUnited Kingdom North0.2708330See
MEXMexico Quintana Roo, Cancun0.270848See
BRABrazil Parana Japanese47.00.2708192See
BRABrazil REDOME Amazonas0.270024129See
PRTPortugal Portalegre0.27001254See
FRAFrance Rennes pop 30.2700200See
GRCGreece North0.2700500See
PRTPortugal Center pop 20.2700562See
ARGArgentina La Plata47.00.2700100See
GBRUnited Kingdom pop 20.2700101See
USAUSA OPTN Asian0.2700261See
GBRUnited Kingdom Central0.2697135See
ITAItaly Lombardy46.00.2680674See
AUSAustralia West Caucasian46.50.2680891See
PRTPortugal Viana do Castelo0.2680706See
GTMGuatemala, Guatemala City Mixed Ancestry49.60.2677127See
BRABrazil REDOME Parana0.2666341639See
CHLChile Santiago0.2663920See
FRAFrance Bordeaux51.80.2658990See
FRAFrance Marseille52.20.26501000See
PRTMadeira pop 30.2650538See
PRTPortugal Guarda0.2650797See
MNGMongolia Khalkha0.2650200See
FRAFrance Grenoble52.30.26491000See
ARGArgentina Corrientes44.50.2640155See
ITAItaly North Pavia pop 245.10.26402416See
ARGArgentina Chiriguano45.30.264054See
ESPSpain Majorca and Minorca0.264090See
FRAFrance Corsica Island0.2640100See
MEXMexico Tapachula, Chiapas Mestizo Population47.20.263972See
MEXMexico Chihuahua Rural0.2636236See
FRAFrance Rennes pop 451.90.26331000See
PRTPortugal Porto0.26307937See
BRABrazil Sao Paulo Bauru Mixed0.26303542See
ESPSpain Sevilla44.60.2626278See
MARMorocco0.262096See
CHESwitzerland Zurich0.26184875See
MKDMacedonia MBMDR - Albanian43.80.2617128See
BRABrazil REDOME Goias0.261688574See
ROMRomania46.00.2610348See
RUSRussia Nenet Mixed0.261055See
SVNSlovenia pop 345.40.2610130See
BRABrazil REDOME Federal District0.260429549See
RUSRussia Arkhangelsk Pomor0.260063See
RUSRussia Murmansk Saomi Mixed0.260070See
ARGArgentina Buenos Aires45.10.2600466See
ROMRomania pop 20.26006936See
BRABrazil Rio Grande do Sul Mixed0.2600324See
BRABrazil REDOME Ceara0.2595101217See
CHESwitzerland Lausanne0.2594993See
BRABrazil REDOME Minas Gerais0.2589211275See
ARGArgentina Buenos Aires pop 247.20.25801216See
FRAFrance Lyon50.50.25774813See
BRABrazil REDOME Para0.257672637See
BRABrazil REDOME Piaui0.256346140See
BRABrazil REDOME Sao Paulo0.2563800809See
BRABrazil REDOME Paraiba0.256243868See
BRABrazil REDOME Mato Grosso0.256034649See
MKDMacedonia pop 30.2560172See
MEXMexico Campeche Rural0.255347See
BRABrazil REDOME Tocantins0.255120692See
GRCGreece Crete0.2550135See
BRABrazil REDOME Amapa0.255017864See
BRABrazil Piaui Mixed0.255021943See
THAThailand Northeast pop 20.2550400See
BRABrazil REDOME Rondonia0.254854396See
BRABrazil REDOME Rio Grande do Norte0.254646603See
BRABrazil Rio Grande do Norte Mestizo0.254012973See
ITAItaly0.2540159311See
BRABrazil South East Cord Blood0.253911409See
GRCGreece pop344.30.2536246See
BRABrazil REDOME Espirito Santo0.253588485See
BRABrazil REDOME Mato Grosso do Sul0.253395667See
ITAItaly North Pavia0.253081See
BRABrazil REDOME Maranhao0.252610180See
AREUnited Arab Emirates pop 244.00.2520373See
BRABrazil REDOME Alagoas0.250525349See
VNMVietnam Hanoi0.250050See
SRBSerbia0.2500386See
INDIndia Kerala Hindu Ezhava0.250024See
RUSRussia Chuvash0.250082See
ARMArmenia Shirak0.250076See
MMRMyanmar Mon45.30.250064See
BRABrazil REDOME Pernambuco0.249792332See
BRABrazil REDOME Rio de Janeiro0.2482139322See
RUSRussia North Ossetian44.10.2480127See
CHESwitzerland Geneva pop 20.24761267See
BRABrazil REDOME Sergipe0.24717321See
RUSRussia Transbaikal Territory Buryats43.00.2470150See
ISRIsrael Ashkenazi Jews pop 20.2470132See
ARGArgentina Cuyo Region43.20.2470420See
ITAItaly South Campania Region43.00.24501089See
DZAAlgeria pop 243.00.2450106See
RUSRussia Tatars0.2450355See
MNGMongolia Tsaatan0.2430144See
MEXMexico Zacatecas, Fresnillo0.2429103See
MEXMexico Durango, Durango city0.2419153See
BRABrazil Curitiba-Parana Mixed0.2418264See
HRVCroatia pop 348.30.2417120See
CHESwitzerland Sion0.2411832See
FRAFrance Southeast42.30.2400130See
SVKSlovakia pop 20.23994234See
GRCGreece pop 70.238611250See
BRABrazil Para State42.80.23805000See
BRABrazil REDOME Bahia0.236747399See
ITAItaly pop 642.90.2364184See
MMRMyanmar Chin38.20.236455See
BRABrazil Minas Gerais State Mixed41.60.23601000See
MEXMexico Campeche, Campeche city0.235334See
JPNJapan pop 20.2350916See
MEXMexico Nayarit Rural0.234464See
BRABrazil REDOME Acre0.2340859See
CMRCameroon Podokwo0.233043See
BRABrazil Parana Caucasian46.50.23202775See
FRAFrance Reims0.2300102See
ESPSpain Murcia0.2300173See
VENVenezuela Valencia and Maracaibo Caracus Mixed0.229096See
PRTMadeira pop 20.2280173See
BRABrazil Parana Mixed race45.70.2280186See
MEXMexico Mexico City West0.227333See
JPNJapan Kyoto and Osaka0.2270165See
CUBCuba Mixed Race35.70.226042See
COLColombia Barranquilla0.2260188See
ITAItaly North Pavia pop 30.2255685See
INDIndia Jalpaiguri Toto40.00.225440See
VENVenezuela Zulia San Jose de Heras Mixed0.225020See
ESPSpain Andalusia0.223099See
BRABrazil Rio Grande do Sul Black0.2230248See
JPNJapan Hyogo Osaka and Nagano0.2210195See
MEXMexico Yucatan, Merida0.2205192See
RUSRussia, South Ural, Chelyabinsk region, Nagaybaks36.60.2190112See
TURTurkey pop 20.2190228See
RWARwanda0.2180280See
BRABrazil South Ribeirao Preto0.2170184See
CZECzech Republic Kurd40.50.216274See
VENVenezuela Colonia Tovar0.215186See
JORJordan0.213015141See
ENGEngland London Ashkenazi Jews0.2120500See
MARMorocco Casablanca0.2100100See
INDIndia North Gujarat37.60.2101338See
ENGEngland North West Mixed pop 241.70.2098379See
BFABurkina Faso Mossi0.207053See
CAFCentral African Republic Mbenzele Pygmy37.00.206236See
GHAGhana Accre Asutuare Akan0.2060429See
ESPSpain North Cabuerniga0.205095See
GAZGaza Palestinians0.2030165See
BRABrazil Parana Cafuzo40.40.2020319See
INDIndia Bikaner Raikas36.10.2010143See
MEXMexico San Luis Potosi, San Luis Potosi city0.200030See
ARMArmenia living in USA0.2000233See
INDIndia Kerala Hindu Nair0.195041See
CHNChina Yunnan Province Han pop 20.1930129See
ARMArmenia living in Karabakh0.1930445See
MNGMongolia Ulaanbaatar Khalkha0.192041See
INDIndia Kerala Malabar Muslim0.191034See
MARMorocco pop 20.1910110See
MYSMalaysia Perak Rawa0.190023See
MEXMexico Quintana Roo Rural0.190050See
ARMArmenia Syunik0.1880117See
ARMArmenia Ghegharkunik0.1880242See
ARMArmenia living in Iran0.188085See
MYSMalaysia pop 20.188062See
MEXMexico Yucatan Rural0.1866132See
ARMArmenia living in Lebanon0.1850368See
USAUSA OPTN African American0.18501510See
MMRMyanmar Bamar32.60.184846See
CMRCameroon Ewondo0.184038See
SAUSaudi Arabia33.30.183318See
IRNIran pop 40.1830855See
MMRMyanmar Kachin30.20.182563See
ISRIsrael Jews pop 233.10.182023000See
BRABrazil Parana Oriental36.40.182033See
MMRMyanmar Kayin34.10.181844See
TUNTunisia pop 30.1810104See
CUBCuba Mixed pop 20.1810189See
ARMArmenia Yerevan0.1800445See
NGANigeria31.40.1783258See
IRQIraq Erbil35.50.1777372See
JPNJapan pop 1132.20.176562See
IRNIran Royan Cord Blood Bank31.30.171015600See
JPNJapan Aichi32.60.171050See
KURIraq Kurdistan Region31.10.1700209See
INDIndia North pop 30.1690587See
ISRIsrael Moroccan Jews0.1690113See
ARMArmenia Lori0.1670102See
MEXMexico Morelos Rural0.166730See
PAKPakistan Mixed Sindhi0.1650101See
ESPSpain Majorcans Jews0.1650103See
ESPSpain Andalusia Romani0.162099See
BRABrazil Parana Afro Brazilian32.50.162077See
ESPSpain Arratia Valley Basque0.160083See
MTQMartinique0.1600100See
INDIndia Bikaner Non-Raikas29.10.1580127See
MMRMyanmar Rakhine31.30.156348See
IRNIran pop 10.156064See
INDIndia sub-Himalayan West Bengal Kami28.50.1551158See
GEOGeorgia Kurds0.155030See
JPNJapan Hyogo28.10.155032See
MYSMalaysia pop 30.15101445See
MOZMozambique0.1510202See
INDIndia Kerala Hindu Namboothiri0.150040See
MYSMalaysia Perak and Johor Banjar Bugis Jawa0.149094See
MMRMyanmar Shan29.60.148154See
IRQIraq Arabs26.90.1477149See
TUNTunisia Ghannouch0.146082See
ZAFSouth Africa Tswana24.40.146041See
BGDBangladesh Dhaka Bangalee0.1450141See
TTOTrinidad African0.140067See
TWNTaiwan Aborigine0.1310111See
INDIndia Kerala Syrian Christian0.129031See
PAKPakistan Burusho0.125092See
MYSMalaysia Negeri Sembilan Minangkabau0.120034See
ZAFSouth Africa Natal Zulu23.00.1150100See
TTOTrinidad South Asian0.110087See
MYSMalaysia Sarawak Bidayuh0.100050See
MNGMongolia Tarialan Khoton0.094085See
MNGMongolia Hoton0.094085See
MYSMalaysia Sarawak Iban0.088051See
CMRCameroon Bamileke 20.086035See
MMRMyanmar Kayah12.70.081855See
MYSMalaysia Sabah Kadazan0.079057See
PHLPhilippines National Capital Region0.069051See
INDIndia Kerala Hindu Pulaya0.063016See
RUSRussia Belgorod region1.30.0065153See
CHNChina North Han0.0000105See

See also higher resolution data of this allele


Allele  Number of Populations 
 A*02:01:23 
 A*02:01:38 
 A*02:01:40 
 A*02:06:03 
 A*02:278 
 A*02:02 215 
 A*02:34 41 
 A*02:01:27 
 A*02:03:02 
 A*02:157:02 
 A*02:211:02 
 A*02:536 
 A*02:245 
 A*02:68 
 A*02:72 
 A*02:03:01 23 
 A*02:193 
 A*02:690 
 A*02:01:29 
 A*02:194 
 A*02:83N 
 A*02:12 91 
 A*02:17 133 
 A*02:102 
 A*02:17:02:01 
 A*02:94N 
 A*02:157 
 A*02:394 
 A*02:151 
 A*02:223N 
 A*02:342 
 A*02:729 
 A*02:15N 36 
 A*02:289:02 
 A*02:93:02 
 A*02:02:01:01 
 A*02:01:17 
 A*02:82N 
 A*02:862 
 A*02:49 24 
 A*02:175 
 A*02:367 
 A*02:01:19 
 A*02:01:35 
 A*02:142 
 A*02:155 
 A*02:06:01:01 
 A*02:01:31 
 A*02:273 
 A*02:52 21 
 A*02:133 
 A*02:01:24 
 A*02:06:04 
 A*02:178 
 A*02:88N 
 A*02:95 
 A*02:01:08 
 A*02:96 
 A*02:70 
 A*02:508 
 A*02:656 
 A*02:69 
 A*02:312 
 A*02:657 
 A*02:176 
 A*02:311 
 A*02:51 18 
 A*02:17:02 11 
 A*02:392 
 A*02:772 
 A*02:50 18 
 A*02:25 64 
 A*02:171 
 A*02:197:02 
 A*02:103 
 A*02:605Q 
 A*02:183 
 A*02:71 
 A*02:211 
 A*02:680 
 A*02:104 
 A*02:01:13 
 A*02:192 
 A*02:01 335 
 A*02:89 
 A*02:01:01:05 
 A*02:26 57 
 A*02:144 
 A*02:332 
 A*02:06:06 
 A*02:224 
 A*02:10 93 
 A*02:202 
 A*02:24 77 
 A*02:205 
 A*02:346 
 A*02:53N 22 
 A*02:01:05 
 A*02:143 
 A*02:521 
 A*02:271 
 A*02:226N 
 A*02:80 
 A*02:545 
 A*02:337 
 A*02:129 
 A*02:56:01 
 A*02:276 
 A*02:227N 
 A*02:599 
 A*02:122 
 A*02:162 
 A*02:189 
 A*02:01:70 
 A*02:251 
 A*02:03 177 
 A*02:108 
 A*02:114 
 A*02:77 
 A*02:109 
 A*02:38 43 
 A*02:01:28 
 A*02:127 
 A*02:167 
 A*02:190 
 A*02:35:02 
 A*02:01:52 
 A*02:210 
 A*02:06 241 
 A*02:06:07 
 A*02:804 
 A*02:117 
 A*02:180 
 A*02:149 
 A*02:60 28 
 A*02:01:34 
 A*02:304 
 A*02:280 
 A*02:445 
 A*02:229 
 A*02:359 
 A*02:269 
 A*02:292 
 A*02:28 23 
 A*02:01:111 
 A*02:37 39 
 A*02:134 
 A*02:215 
 A*02:78 
 A*02:01:18 
 A*02:638 
 A*02:67 10 
 A*02:212 
 A*02:11:01:01 
 A*02:230 
 A*02:05:01 29 
 A*02:130 
 A*02:165 
 A*02:301N 
 A*02:01:39 
 A*02:19 73 
 A*02:289 
 A*02:618Q 
 A*02:01:09 10 
 A*02:01:10 
 A*02:614 
 A*02:113N 
 A*02:17:01 10 
 A*02:528 
 A*02:199 
 A*02:35:03 
 A*02:55 17 
 A*02:124 
 A*02:164 
 A*02:18 40 
 A*02:62 
 A*02:87 
 A*02:125N 
 A*02:220 
 A*02:235 
 A*02:112 
 A*02:156 
 A*02:166 
 A*02:30:01 
 A*02:298 
 A*02:217 
 A*02:623 
 A*02:120 
 A*02:29 38 
 A*02:184 
 A*02:587 
 A*02:05 248 
 A*02:44 26 
 A*02:669 
 A*02:629 
 A*02:09:01:01 
 A*02:254 
 A*02:110 
 A*02:182 
 A*02:548 
 A*02:01:04 13 
 A*02:99 
 A*02:407 
 A*02:56 16 
 A*02:139 
 A*02:01:03 
 A*02:187 
 A*02:264 
 A*02:648 
 A*02:32N 29 
 A*02:54 17 
 A*02:39 33 
 A*02:140 
 A*02:282 
 A*02:317 
 A*02:796N 
 A*02:237 
 A*02:45 23 
 A*02:46 23 
 A*02:173 
 A*02:350N 
 A*02:132 
 A*02:744 
 A*02:707 
 A*02:136 
 A*02:90 
 A*02:128 
 A*02:06:05 
 A*02:732 
 A*02:748N 
 A*02:169 
 A*02:185 
 A*02:16 85 
 A*02:131 10 
 A*02:43N 11 
 A*02:01:22 
 A*02:06:02 
 A*02:484 
 A*02:267 
 A*02:06:01 48 
 A*02:01:36 
 A*02:81 
 A*02:152 
 A*02:274 
 A*02:06:08 
 A*02:303 
 A*02:283 
 A*02:188 
 A*02:730 
 A*02:268 
 A*02:121 
 A*02:31 18 
 A*02:218 
 A*02:79 
 A*02:01:33 
 A*02:01:01:04 
 A*02:42 22 
 A*02:101 
 A*02:09:01 
 A*02:01:12 
 A*02:186 
 A*02:22:02 
 A*02:148 
 A*02:01:11 
 A*02:595 
 A*02:209 
 A*02:181 
 A*02:768 
 A*02:307 
 A*02:372 
 A*02:343 
 A*02:22 120 
 A*02:642 
 A*02:27 47 
 A*02:30 41 
 A*02:147 
 A*02:61 13 
 A*02:246 
 A*02:115 
 A*02:56:02 
 A*02:11:01 18 
 A*02:137 
 A*02:195 
 A*02:238 
 A*02:04 100 
 A*02:141 
 A*02:97:02 
 A*02:154 
 A*02:97:01 
 A*02:01:30 
 A*02:20 106 
 A*02:118 
 A*02:150 
 A*02:14 82 
 A*02:63 13 
 A*02:119 
 A*02:153 
 A*02:198 
 A*02:97 
 A*02:650 
 A*02:74:02 
 A*02:01:06 
 A*02:126 
 A*02:65 11 
 A*02:197 
 A*02:200 
 A*02:821 
 A*02:41 30 
 A*02:59 11 
 A*02:160 
 A*02:393 
 A*02:145 
 A*02:107 
 A*02:116 
 A*02:206 
 A*02:196 
 A*02:135 
 A*02:433 
 A*02:659 
 A*02:647 
 A*02:434 
 A*02:01:42 
 A*02:191 
 A*02:74 12 
 A*02:92 
 A*02:255 
 A*02:435 
 A*02:590 
 A*02:646 
 A*02:01:41 
 A*02:20:02 
 A*02:299 
 A*02:240 
 A*02:138 
 A*02:01:01:01 34 
 A*02:233 
 A*02:300 
 A*02:64 23 
 A*02:105 
 A*02:159 
 A*02:177 
 A*02:01:110 
 A*02:277 
 A*02:74:01 
 A*02:76 
 A*02:47 18 
 A*02:168 
 A*02:302 
 A*02:01:25 
 A*02:321N 
 A*02:158 
 A*02:221 
 A*02:406 
 A*02:272 
 A*02:339 
 A*02:363 
 A*02:22:01 10 
 A*02:275 
 A*02:01:21 
 A*02:01:166 
 A*02:06:09 
 A*02:263 
 A*02:91 
 A*02:171:01 
 A*02:201 
 A*02:07:01 10 
 A*02:161 
 A*02:01:61 
 A*02:35 51 
 A*02:58 21 
 A*02:106 
 A*02:01:14Q 
 A*02:01:15 
 A*02:05:03 
 A*02:84 
 A*02:33 39 
 A*02:171:02 
 A*02:390 
 A*02:48 20 
 A*02:09 55 
 A*02:21 39 
 A*02:01:37 
 A*02:179 
 A*02:57 17 
 A*02:01:32 
 A*02:01:66 
 A*02:93 12 
 A*02:172 
 A*02:85 
 A*02:02:01 
 A*02:524 
 A*02:01:01 56 
 A*02:86 10 
 A*02:391 
 A*02:40 40 
 A*02:270 
 A*02:170 
 A*02:673 
 A*02:448 
 A*02:645 
 A*02:11 177 
 A*02:36 64 
 A*02:364 
 A*02:123 
 A*02:163 
 A*02:08 90 
 A*02:313 
 A*02:66 
 A*02:686 
 A*02:279 
 A*02:213 
 A*02:13 93 
 A*02:281 
 A*02:111 
 A*02:01:26 
 A*02:07 166 
 A*02:05:01:01 
 A*02:430 
 A*02:436 
 A*02:204 
 A*02:35:01 
 A*02:20:01 16 
 A*02:338 
 A*02:73 
 A*02:01:07 
 A*02:703 
 A*02:01:02 16 
 A*02:174 
 A*02:146 
 A*02:75 
 A*02:09:01:02 
 A*02:695 

* This list corresponds to those alleles that have been reported in AFND only (i.e. only positive findings).


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)
* Phenotype Frequency: Percentage of individuals who have the allele or gene (Individuals / n).
* Allele Frequencies shown in green were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.

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.


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

support@allelefrequencies.net


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