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.

   

B*40

Allele reported 337 time(s) and present in 329 population(s).

Population Phenotype
Frequency (%)
Allele
Frequency
(in_decimals)
Sample
Size
IMGT/HLA¹
Database
Distribution² Haplotype³
Association
Notesª
INDIndia Kerala Paniya0.450010See
INDIndia Kerala Malapandaram0.450010See
TWNTaiwan Aborigine0.3860111See
INDIndia Kerala Adiya0.334021See
MYSMalaysia Sabah Kadazan0.333057See
RUSRussia Sakhalin Island Nivkhi0.312053See
INDIndia Kerala Kanikkar0.295022See
INDIndia Kerala Hindu Ezhava0.250024See
INDIndia Kerala Hindu Pulaya0.250016See
TWNTaiwan Hakka pop 20.2500714See
TWNTaiwan Minnan pop 20.24207137See
TWNTaiwan Minnan and Hakka0.2410190See
VENVenezuela Zulia Maracaibo Mixed0.225020See
MNGMongolia Khalkha pop 20.2060202See
JPNJapan pop 20.2010916See
INDIndia Kerala Hindu Namboothiri0.201040See
INDIndia Kerala Kuruma0.200015See
JPNJapan Tohoku Region0.1960322See
TWNTaiwan Chinese immigrants from Middle China0.1880211See
INDIndia sub-Himalayan West Bengal Kami33.50.1867158See
RUSRussia Transbaikal Territory Buryats33.00.1830150See
TWNTaiwan Chinese immigrants from South China0.1830172See
MNGMongolia Oold0.1830104See
PERPeru Lamas City Lama0.181083See
TTOTrinidad South Asian0.180087See
INDIndia Kerala Syrian Christian0.177031See
INDIndia Kerala Kattunaikka0.176017See
JPNJapan Hyogo Osaka and Nagano0.1750195See
BRABrazil Parana Japanese32.00.1745192See
CHNChina Guangdong Province31.80.1741403See
MNGMongolia Tsaatan0.1740144See
JPNJapan Kyoto and Osaka0.1700165See
MEXMexico San Vicente Tancuayalab Teenek/Huastecos0.169853See
MEXMexico Huasteca Region Teenek0.167055See
PAKPakistan Baloch0.162066See
CHNChina Shanghai0.159026266See
USAUSA OPTN Asian0.1590261See
CHNChina Wuhan30.80.1570121See
PAKPakistan Brahui0.1540104See
JPNJapan pop 1127.50.148562See
MNGMongolia Khalkha0.1450200See
NORNorway Sami0.1430200See
KORSouth Korea pop 10.1420324See
JPNJapan Aichi28.30.141050See
MMRMyanmar Mon26.60.140664See
PHLPhilippines National Capital Region0.137051See
CHNChina Jiangsu Province0.136020248See
MMRMyanmar Kachin25.40.134963See
CHNChina Harbin Korean0.1340201See
PAKPakistan Mixed Sindhi0.1340101See
THAThailand pop 40.134016807See
CHNChina Shandong Province25.90.13407418See
CHNChina Shaanxi Province Han0.133010000See
ARGArgentina Salta Wichi pop 221.10.132019See
MMRMyanmar Bamar23.90.130446See
TWNTaiwan Chinese immigrants from North China0.1270152See
MEXMexico Sinaloa Capomos Mayo Yoremes0.125060See
LKASri Lanka Colombo Sinhalese0.1240101See
CHNChina Shandong Province Linqu County23.20.1236139See
ARGArgentina Chiriguano24.50.123054See
INDIndia North pop 30.1230587See
NORNorway ethnic Norwegians23.20.12244510See
MMRMyanmar Shan22.20.120454See
CZECzech Republic Romani pop 221.70.119646See
ESPSpain North Cabuerniga0.118095See
MEXMexico Mayan Pop 30.113066See
NORNorway pop 20.1130576See
MEXMexico Nahuas0.111072See
CHNChina Yunnan Province Han pop 20.1100129See
CHNChina Harbin Manchu0.1070172See
PERPeru Arequipa Mestizo15.50.1060168See
MKDMacedonia MBMDR - Macedonian Muslims19.70.105376See
MEXMexico Tapachula, Chiapas Mestizo Population19.40.104072See
INDIndia North Gujarat19.50.1036338See
INDIndia Kerala Malabar Muslim0.103034See
INDIndia Kerala Kurichiya0.100010See
MEXMexico Michoacan Tarasco20.00.1000130See
VENVenezuela Colonia Tovar0.098886See
INDIndia Kerala Hindu Nair0.098041See
CHNChina Yunnan Province Naxi0.0980118See
AUSAustralia West Caucasian18.40.0970891See
SWESweden Uppsala18.30.0961300See
MYSMalaysia pop 20.096062See
VENVenezuela Valencia and Maracaibo Caracus Mixed0.093096See
INDIndia Bikaner Non-Raikas17.50.0920127See
BRABrazil Parana Oriental18.10.091033See
DEUGermany Essen17.20.0860174See
BOLBolivia La Paz Aymaras0.086087See
COLColombia Barranquilla0.0850188See
THAThailand Northeast0.084066See
ARGArgentina Corrientes16.10.0840155See
COLColombia Wayu from Guajira Peninsula0.083348See
MEXMexico Mexico City Mestizo pop 30.0820256See
RUSRussia South Ural Bashkir15.80.0820146See
ENGEngland Lancaster15.60.0813545See
BOLBolivia Quechua0.079769See
MMRMyanmar Kayin15.90.079544See
RUSRussia Chuvash0.079082See
THAThailand Northeast pop 20.0790400See
USAUSA Caucasian Bethesda14.70.0780307See
COLColombia Jaidukama0.077039See
SWESweden pop 414.80.0766966See
BRABrazil REDOME Amazonas0.076624129See
USAUSA OPTN Hispanic0.07501580See
MEXMexico Mestizo pop 40.0743269See
INDIndia Bikaner Raikas14.30.0740143See
MMRMyanmar Kayah14.50.072755See
GBRUnited Kingdom Central0.0714135See
BRABrazil REDOME Amapa0.071217864See
WALWales pop 213.60.071039979See
MYSMalaysia pop 30.07101445See
USAUSA Caucasian13.30.068861655See
BRABrazil REDOME Para0.068472637See
GBRUnited Kingdom East0.0683163See
WALWales13.70.06801798See
BGDBangladesh Dhaka Bangalee0.0670141See
ENGEngland Sheffield12.90.06674755See
AUTAustria Cord Bloods0.06601368See
DEUGermany12.70.065611407See
BRABrazil REDOME Roraima0.06524140See
ENGEngland Leeds12.60.06515024See
RUSRussia Northwest pop 312.00.0650100See
BRABrazil Para State12.60.06505000See
AREUnited Arab Emirates pop 212.30.0640373See
BRABrazil Parana Mixed race12.90.0640186See
BRABrazil Para Cord Blood Unit11.90.0630841See
ESPSpain Catalonia Girona0.063088See
ARGArgentina Cuyo Region12.40.0630420See
GTMGuatemala Mayan0.0630132See
FRAFrance Reims0.0630102See
MMRMyanmar Rakhine12.50.062548See
ENGEngland Newcastle11.90.06132739See
PAKPakistan Mixed Pathan0.0610100See
RUSRussia Northwest pop 211.80.0610346See
ROMRomania pop 311.60.06041469See
RUSRussia Moscow Pop 211.90.06042000See
BRABrazil REDOME Ceara0.0602101217See
BRABrazil Piaui Mixed0.060021943See
FRAFrance Rennes pop 30.0600200See
VNMVietnam Hanoi0.060050See
VENVenezuela Caracas Mestizo0.060050See
GBRUnited Kingdom Orkney0.059988See
BRABrazil REDOME Piaui0.059546140See
BRABrazil REDOME Paraiba0.059543868See
CHLChile Santiago0.0592920See
FRAFrance Rennes pop 411.70.05911000See
FRAFrance Southeast11.50.0590130See
ESPSpain Minorca0.059094See
ENGEngland Manchester11.40.05871640See
ALBAlbanian Kosovo0.0583120See
TURTurkey pop 20.0580228See
MARMorocco0.058096See
RUSRussia Samara Region0.05702500See
FRAFrance Grenoble11.10.05651000See
BRABrazil REDOME Maranhao0.056410180See
BRABrazil Rio Grande do Norte Mestizo0.056012973See
RUSRussia South Ural Tatar11.10.0560135See
BIHBosnia and Herzegovina0.0559134See
FRAFrance Lyon11.00.05594813See
ENGEngland North West Mixed pop 210.80.0554379See
FRAFrance Grenoble, Nantes and Rennes0.05506094See
ENGEngland Liverpool10.70.05501343See
MMRMyanmar Chin10.90.054555See
BRABrazil REDOME Rio Grande do Norte0.054446603See
GBRUnited Kingdom pop 20.0540101See
PRTPortugal North0.054046See
BRABrazil REDOME Mato Grosso do Sul0.053795667See
FRAFrance Bordeaux10.30.0536990See
BRABrazil REDOME Acre0.0530859See
ESPSpain Arratia Valley Basque0.053083See
CUBCuba Mixed pop 20.0530189See
RUSRussia Tatars0.0521355See
ARGArgentina La Plata11.00.0520100See
BRABrazil REDOME Santa Catarina0.0517106673See
BRABrazil Paraná Caucasian10.10.0515641See
BRABrazil Curitiba-Parana Mixed0.0514264See
BRABrazil Rio Grande do Sul Caucasoid0.05104428See
BRABrazil REDOME Rio Grande do Sul0.0509241329See
BRABrazil Belem Mixed10.00.0500100See
ROMRomania pop 20.05006936See
POLPoland pop 39.80.04992907See
BRABrazil REDOME Rondonia0.049454396See
BRABrazil REDOME Parana0.0492341639See
ARGArgentina Buenos Aires pop 29.50.04901216See
ARGArgentina Buenos Aires9.40.0490466See
MKDMacedonia pop 40.0490216See
SVKSlovakia pop 20.04864234See
BRABrazil REDOME Alagoas0.048325349See
BRABrazil REDOME Mato Grosso0.048234649See
BRABrazil REDOME Pernambuco0.048192332See
RUSRussia Northwest9.40.04811011See
BRABrazil Parana Caucasian9.60.04802775See
BRABrazil REDOME Tocantins0.048020692See
MYSMalaysia Perak and Johor Banjar Bugis Jawa0.048094See
RUSRussia South Ural Russian9.70.0480207See
IRLIreland South pop 20.047717624See
MKDMacedonia MBMDR - Macedonian9.00.04751283See
BRABrazil REDOME Federal District0.047529549See
BRABrazil South Ribeirao Preto0.0470184See
BRABrazil Rio Grande do Sul Mixed0.0470324See
BRABrazil Sao Paulo Bauru Mixed0.04703542See
SVNSlovenia pop 39.20.0470130See
GRCGreece North0.0470500See
MKDMacedonia MBMDR - Albanian9.40.0469128See
RUSRussia Moscow0.04602650See
MKDMacedonia0.0455286See
BRABrazil South East Cord Blood0.045411409See
ALBAlbania pop 28.30.0451432See
SRBSerbia Vojvodina9.00.0450400See
BRABrazil Pernambuco Mixed0.0450101See
ROMRomania8.90.0450348See
TUNTunisia pop 30.0450104See
BRABrazil REDOME Sao Paulo0.0441800809See
PRTAzores0.04401050See
BRABrazil REDOME Goias0.043488574See
RUSRussia North Ossetian8.70.0433127See
BRABrazil REDOME Sergipe0.04327321See
BRABrazil REDOME Rio de Janeiro0.0410139322See
ALBAlbania0.0410160See
BRABrazil REDOME Espirito Santo0.040688485See
FRAFrance Marseille8.00.04001000See
BRABrazil Rio Grande do Sul Black0.0400248See
MYSMalaysia Perak Rawa0.040023See
PRTPortugal Faro0.04001242See
BRABrazil Sao Paulo Mixed0.80.0400239See
BRABrazil REDOME Minas Gerais0.0398211275See
PRTPortugal Evora0.0390737See
HRVCroatia pop 20.0390100See
PRTPortugal Castelo Branco0.0380327See
ARMArmenia living in Lebanon0.0380368See
ESPSpain, Castilla y Leon, Northwest,7.60.03801743See
BRABrazil REDOME Bahia0.037847399See
PRTPortugal Coimbra0.03705057See
BRABrazil Minas Gerais State Mixed7.30.03701000See
PRTPortugal Vila Real0.03701167See
PRTPortugal North pop 20.03691801See
IRNIran pop 40.0363855See
SRBSerbia pop 37.00.03621992See
GRCGreece pop 70.036011250See
IRNIran Royan Cord Blood Bank7.00.036015600See
PRTPortugal South pop 20.03601021See
BRABrazil Parana Cafuzo7.20.0360319See
GBRUnited Kingdom North0.0353330See
MKDMacedonia pop 30.0350172See
PRTPortugal Lisbon0.035017420See
PRTPortugal Santarem0.03503865See
PRTPortugal Setubal0.03505268See
PRTPortugal Braga0.03501971See
ESPSpain Sevilla6.80.0342278See
PRTPortugal Aveiro0.03405933See
PRTMadeira pop 30.0340538See
SRBSerbia0.0340386See
BIHBosnia and Herzegovina pop 26.70.0333120See
PRTPortugal Porto0.03307937See
PRTPortugal Leiria0.03301847See
ESPSpain Majorca and Minorca0.033090See
ESPSpain Majorcans Jews0.0330103See
GAZGaza Palestinians0.0330165See
GBRUnited Kingdom South West0.0322163See
PRTMadeira pop 20.0320173See
ITAItaly North Pavia pop 26.00.03102416See
ESPSpain Majorca0.0310407See
SENSenegal Dakar6.30.0310112See
DZAAlgeria pop 26.00.0304106See
IRQIraq Arabs6.00.0302149See
TTOTrinidad African0.030067See
TUNTunisia6.00.0300100See
CUBCuba Mixed0.030078See
PRTPortugal Bragança0.0300301See
MYSMalaysia Sarawak Bidayuh0.030050See
PRTPortugal Portalegre0.03001254See
ITAItaly North Pavia pop 30.0300685See
MYSMalaysia Sarawak Iban0.029051See
ITAItaly Bergamo5.00.0290101See
IRQIraq Erbil5.70.0283372See
PRTPortugal Viseu0.02802915See
PRTPortugal Viana do Castelo0.0280706See
CZECzech Republic Kurd5.40.027074See
PRTPortugal Guarda0.0270797See
PRTAzores Terceira Island0.0270130See
ITAItaly0.0270159311See
PRTPortugal Center pop 20.0270562See
GRCGreece pop35.30.0268246See
BRABrazil Parana Afro Brazilian5.20.026077See
KURIraq Kurdistan Region5.30.0260209See
ITAItaly Lombardy5.00.0250674See
TUNTunisia Ghannouch0.024082See
ESPSpain North Cantabria0.024083See
ESPSpain Murcia0.0240173See
ESPSpain Ibiza0.023088See
IRNIran pop 10.023064See
PRTPortugal Beja0.0230699See
JORJordan0.022015141See
GRCGreece Crete0.0220135See
ITAItaly pop 63.80.0217184See
USAUSA African American Bethesda4.20.0210187See
TURTurkey pop 50.0210142See
USAUSA OPTN Caucasian0.02108525See
ENGEngland London Ashkenazi Jews0.0210500See
ITAItaly South Campania Region3.60.01811089See
ISRIsrael Jews pop 23.60.018023000See
ARMArmenia Syunik0.0170117See
ARMArmenia Yerevan0.0160445See
SAUSaudi Arabia pop 20.0160383See
PAKPakistan Karachi Parsi0.016091See
ESPSpain Pas Valley0.016088See
ESPSpain North3.00.0151156See
SAUSaudi Arabia pop 43.00.0151499See
ARMArmenia living in Karabakh0.0150445See
USAUSA OPTN African American0.01401510See
ARMArmenia Shirak0.013076See
RUSRussia, South Ural, Chelyabinsk region, Nagaybaks2.70.0130112See
ZAFSouth Africa Tswana2.40.012041See
RWARwanda0.0110280See
ITAItaly Sardinia pop30.0100100See
PAKPakistan Burusho0.010092See
MYSMalaysia Negeri Sembilan Minangkabau0.010034See
ITAItaly East Sicily2.00.010050See
MARMorocco pop 20.0090110See
HRVCroatia pop 31.70.0083120See
ARMArmenia Ghegharkunik0.0080242See
ARMArmenia living in USA0.0060233See
ARMArmenia living in Iran0.006085See
ARMArmenia Lori0.0050102See
MOZMozambique0.0050202See
ITAItaly Rome1.00.0050100See
FRAFrance Corsica Island0.0050100See
RUSRussia Belgorod region0.70.0033153See
SAUSaudi Arabia0.00.000018See
CHNChina North Han0.0000105See
MARMorocco Casablanca0.0000100See
ITAItaly North pop 30.00.000097See
ZAFSouth Africa Natal Zulu0.00.0000100See
PAKPakistan Kalash0.000069See
TZATanzania Dodoma Kongwa0.0000212See
MTQMartinique0.0000100See

See also higher resolution data of this allele


Allele  Number of Populations 
 B*40:125 
 B*40:06:01:01 10 
 B*40:136 
 B*40:71 80 
 B*40:90 
 B*40:33 16 
 B*40:157 
 B*40:06:01 20 
 B*40:01 396 
 B*40:01:05 
 B*40:04:01 
 B*40:05 179 
 B*40:50 24 
 B*40:214 
 B*40:377 
 B*40:137 
 B*40:02 379 
 B*40:65 
 B*40:54 
 B*40:72 
 B*40:02:01 61 
 B*40:14:03 
 B*40:18 55 
 B*40:200 
 B*40:134 
 B*40:43 14 
 B*40:51 84 
 B*40:87 
 B*40:108 
 B*40:94 
 B*40:06:25 
 B*40:56 
 B*40:55 
 B*40:82 
 B*40:241 
 B*40:64 
 B*40:115 
 B*40:27 112 
 B*40:95 
 B*40:96 
 B*40:05:01 
 B*40:346 
 B*40:387 
 B*40:118N 
 B*40:66 
 B*40:356 
 B*40:77 
 B*40:146 
 B*40:203 
 B*40:06:06 
 B*40:403 
 B*40:38 15 
 B*40:60 
 B*40:156 
 B*40:421Q 
 B*40:111 
 B*40:420 
 B*40:06:02 
 B*40:142N 
 B*40:49 10 
 B*40:275 
 B*40:78 
 B*40:92 
 B*40:119 
 B*40:08 166 
 B*40:162 
 B*40:01:01 28 
 B*40:105 
 B*40:86 
 B*40:158 
 B*40:20 135 
 B*40:126 
 B*40:44 12 
 B*40:01:04 
 B*40:01:35 
 B*40:07 141 
 B*40:187 
 B*40:14:01 
 B*40:24 13 
 B*40:31 20 
 B*40:347 
 B*40:110 
 B*40:91 
 B*40:32 20 
 B*40:121 
 B*40:21 17 
 B*40:59 
 B*40:11:01:01 
 B*40:22N 14 
 B*40:123 
 B*40:26 101 
 B*40:25 17 
 B*40:219 
 B*40:80 
 B*40:290 
 B*40:102 
 B*40:13 109 
 B*40:69 
 B*40:116 
 B*40:81 
 B*40:120 
 B*40:19 51 
 B*40:73 
 B*40:85 
 B*40:27:01 
 B*40:02:01:01 
 B*40:37 13 
 B*40:295 
 B*40:117 
 B*40:01:30 
 B*40:229 
 B*40:148 
 B*40:63 
 B*40:01:02 27 
 B*40:113 
 B*40:06:01:02 
 B*40:02:14 
 B*40:16 158 
 B*40:01:03 
 B*40:53 17 
 B*40:106 
 B*40:46 10 
 B*40:183 
 B*40:40 105 
 B*40:127 
 B*40:348 
 B*40:160 
 B*40:03:01 
 B*40:355 
 B*40:29 12 
 B*40:35 25 
 B*40:107 
 B*40:268 
 B*40:10 167 
 B*40:129 
 B*40:79 
 B*40:97 
 B*40:06:09 
 B*40:145 
 B*40:14:02 
 B*40:122 
 B*40:34 13 
 B*40:01:07 
 B*40:427 
 B*40:433 
 B*40:11:01 
 B*40:197 
 B*40:58 80 
 B*40:36 15 
 B*40:98 
 B*40:199 
 B*40:45 
 B*40:01:02:01 
 B*40:89 11 
 B*40:14 134 
 B*40:03 183 
 B*40:84 
 B*40:15 51 
 B*40:68 
 B*40:172 
 B*40:30 18 
 B*40:208 
 B*40:273 
 B*40:75 
 B*40:114 
 B*40:52 
 B*40:153 
 B*40:61 
 B*40:93 
 B*40:371 
 B*40:06:04 
 B*40:23 36 
 B*40:99 
 B*40:88 
 B*40:47 
 B*40:140 
 B*40:132 
 B*40:62 
 B*40:128 
 B*40:222 
 B*40:48 
 B*40:334 
 B*40:385 
 B*40:124 
 B*40:72:01 
 B*40:01:37 
 B*40:150 
 B*40:09 138 
 B*40:83 
 B*40:57 
 B*40:130 
 B*40:04 192 
 B*40:39 12 
 B*40:28 15 
 B*40:74 82 
 B*40:198 
 B*40:72:02 
 B*40:70 13 
 B*40:11 177 
 B*40:42 15 
 B*40:135 
 B*40:287 
 B*40:67 
 B*40:76 
 B*40:06 214 
 B*40:12 167 

* 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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