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.

   

DPB1*03:01

Allele reported 188 time(s) and present in 175 population(s).

Population Phenotype
Frequency (%)
Allele
Frequency
(in_decimals)
Sample
Size
IMGT/HLA¹
Database
Distribution² Haplotype³
Association
Notesª
ITAItaly Sardinia pop274.50.48501129See
ITAItaly Sardinia pop 40.244949See
COLColombia East Amazon Region Nukak0.175020See
VENVenezuela Saimadoyi Bari0.171035See
ARGArgentina Salta Wichi pop 233.30.167019See
MEXMexico Mayan0.167016See
RUSRussia Northwest Slavic0.1600200See
ENGEngland pop 50.155042See
SAUSaudi Arabia27.80.150218See
FINFinland0.150091See
BRABrazil Terena27.50.150060See
SWESweden pop 30.1490175See
TZATanzania Maasai24.20.1390336See
TUNTunisia26.00.1390100See
DEUGermany pop 20.1380206See
USAUSA South Dakota Sioux0.1330101See
ENGEngland24.20.1293537See
SWESweden pop 20.1280200See
FRAFrance Ceph0.1260124See
ARGArgentina Mapuche0.125048See
LBNLebanon Yuhmur0.125082See
ITAItaly Rome22.00.1250100See
NLDNetherlands22.90.1219447See
ITAItaly Turin0.121087See
DEUGermany Essen22.40.1210174See
GBRUnited Kingdom22.20.1180187See
ESPSpain Andalusia0.117099See
IRLIreland South21.20.1160250See
AUTAustria22.00.1150200See
ESPSpain Catalonia Girona0.113088See
ITAItaly Central0.1120380See
FRAFrance Lille0.111095See
RUSRussia Karelia0.11011075See
NORNorway0.1100181See
RUSRussia Siberia Polygus Evenk0.110035See
ITAItaly Bergamo20.80.1100101See
DEUGermany DKMS - German donors0.10813456066See
SDNSudan Mixed20.00.1050200See
USAUSA San Francisco Caucasian0.1050220See
AUTAustria pop 20.1030490See
GRCGreece pop 819.30.102483See
SWESweden0.102099See
USAUSA Minnesota Olmsted0.1020339See
CRICosta Rica and Panama Mestizo0.100056See
CHNChina Urumqi Kazak0.095042See
BELBelgium18.80.094099See
FRAFrance Rennes0.0940200See
GEOGeorgia Svaneti Region Svan0.094080See
GABGabon Haut-Ogooue Dienga0.0930167See
SVKSlovakia0.0930146See
FRAFrance Rennes pop 217.60.0922148See
ENGEngland Northwest Mixed0.09002960See
RUSRussia Siberia Sulamai Ket0.090022See
USAUSA Caucasian pop 50.0900268See
THAThailand East Chanthaburi Khmer0.090083See
CZECzech Republic0.0890106See
ARGArgentina Buenos Aires17.20.0890466See
FRAFrance West Breton0.0830150See
ENGEngland pop 316.10.081061See
SGPSingapore SGVP Chinese CHS0.080096See
CZECzech Republic pop 215.20.079199See
GRCGreece pop 60.0785242See
RUSRussia Tuva pop 20.0770169See
NICNicaragua Managua14.60.0766339See
SGPSingapore Riau Malay0.0760132See
NIRIreland Northern pop 314.70.0760150See
RUSRussian Federation Vologda Region15.10.0756119See
COLColombia West Embera0.075020See
COLColombia West Cauca0.075020See
VENVenezuela Orinoco Delta Warao0.074034See
RUSRussia Belgorod region14.40.0719153See
BRABrazil Ticuna0.071050See
ARGArgentina Chiriguano12.20.071054See
INDIndia Delhi13.70.0710112See
GRCGreece pop313.40.0694246See
FRAFrance Southeast13.10.0680130See
USAUSA San Diego13.30.0677496See
THAThailand Bangkok0.0670104See
GABGabon Lambarene0.0670120See
JPNJapan Hyogo13.30.067032See
LBNLebanon Kafar Zubian0.066094See
CHNChina Canton Han0.0660264See
ZWEZimbabwe Harare Shona0.0640230See
ARGArgentina Gran Chaco Mataco Wichi0.063049See
THAThailand Kamphaeng Phet0.062097See
SDNSudan Central Region11.30.060097See
CODCongo Kinshasa Bantu0.060090See
GMBGambia pop 20.0600100See
ITAItaly North pop 312.00.060097See
INDIndia Bombay0.059059See
MYSMalaysia0.058074See
PANPanama0.0573462See
JPNJapan pop 90.0570132See
USAUSA African American pop 70.0570193See
MNGMongolia Tarialan Khoton0.055085See
TWNTaiwan Han Chinese0.0540504See
THAThailand Northeast0.053066See
USAUSA Arizona Pima0.0530100See
CHNChina Urumqi Uyghur8.80.053057See
CHNChina Harbin Manchu pop 20.052050See
IDNIndonesia Java0.052058See
LKASri Lanka Colombo9.70.0520714See
JPNJapan pop 170.05113078See
GRCGreece10.00.050048See
MNGMongolia Ulaanbaatar Khalkha0.050041See
USAUSA Philippines0.0500105See
ZAFSouth Africa Worcester9.00.0470159See
HKGHong Kong Chinese HKBMDR. DQ and DP9.30.04651064See
ESPSpain Gipuzkoa Basque0.0460100See
SGPSingapore SGVP Malay MAS0.045089See
CZECzech Republic Romani8.80.045034See
JPNJapan pop 78.80.0450317See
LBNLebanon Niha el Shouff0.045061See
USAUSA Mexican American Mestizo pop 20.0440113See
UGAUganda Baganda0.043047See
JPNJapan Central0.0430371See
PNGPapua New Guinea Lowland0.042047See
CHNChina Urumqi Han0.042059See
THAThailand North Dai Lue0.042096See
CHNChina Yunnan Province Dai0.041074See
IDNIndonesia Nusa Tenggara Islands0.041049See
RUSRussia Siberia NW of Sakhalin Island Nivkh0.040032See
JPNJapan pop 47.80.0400525See
KENKenya, Nyanza Province, Luo tribe7.00.0400100See
KORSouth Korea pop 110.0400149See
PNGPapua New Guinea Highland0.039094See
CHNChina Beijing Han0.0390180See
ARGArgentina Gran Chaco Eastern Toba0.0390135See
GMBGambia0.0380146See
PNGPapua New Guinea Highland pop20.038028See
KORSouth Korea pop 10.0370324See
IDNIndonesia Moluccan Islands0.033024See
ARGArgentina Chaco Region El Sauzalito Mataco0.033060See
GMBGambia pop 35.90.0323939See
CMRCameroon Saa0.0320172See
MEXMexico Chichen Itza Maya (prehispanic)0.031947See
CHNChina Zhejiang Han pop 20.0312833See
AUSAustralia Cape York Peninsula Aborigine0.0310103See
ESPSpain Andalusia Romani0.031099See
USAUSA New Mexico Zuni0.030051See
ARGArgentina Gran Chaco Western Toba Pilaga0.030019See
CHNChina Pumi0.030051See
INDIndia Lucknow5.90.0300123See
GRCGreece pop 40.030098See
JPNJapan0.030050See
KORSouth Korea pop 25.30.0270207See
BRABrazil Central Plateau Xavante0.027074See
USAUSA Hawaii0.026039See
USAUSA New Mexico Canoncito Navajo0.025042See
CAFCentral African Republic Aka Pygmy0.025093See
CHNChina Shanghai pop 20.025040See
COLColombia Northwest Choco0.025020See
BORBorneo Bandjarmasin0.024021See
LBRLiberia Bong County0.0230110See
WSMSamoa West0.023022See
WSMSamoa pop 34.40.023065See
ESPSpain Navarre Basques0.0210116See
TWNTaiwan Aborigine pop 20.021048See
JPNJapan South4.00.0202125See
COKCook Islands0.020050See
COLColombia North Eastern Plains Sikuani0.019027See
NGANigeria Southwest Abanla Yoruba0.0190130See
VENVenezuela Campo Rosario Bari0.019026See
MEXMexico Chiapas Lacandon Mayans0.0184218See
JPNJapan Fukuoka0.017086See
COLColombia West Waunana0.017030See
COLColombia Providencia Island African0.017030See
MEXMexico Oaxaca Zapotec0.011090See
NZLNew Zealand Maori pop 22.30.011055See
RUSRussia Siberia Chukotka Peninsula Eskimo0.010080See
TKLTokelau0.010050See
TONTonga0.010050See
ECUEcuador Cayapa0.0080183See
SGPSingapore SGVP. Indian INS0.007086See
JPNJapan pop 20.0050916See
MEXMexico Oaxaca Mixtec0.0000103See
WSMSamoa pop20.000050See
RUSRussia Siberia Chukotka Peninsula Chukchi0.000059See
WSMSamoa0.000029See
PNGPapua New Guinea East New Britain Tolai0.000048See
PNGPapua New Guinea Lowland Roro0.000026See
PNGPapua New Guinea Trobriand Island0.000081See
RUSRussia Siberia North East Kamchatka Koryak0.000092See
RUSRussia Siberia Gvaysugi Udege0.000025See
ECUEcuador African0.000058See
VENVenezuela Aroy Yucpa0.000017See
VENVenezuela Marewa Yucpa0.000029See
VENVenezuela Peraya Yucpa0.000026See

See also higher resolution data of this allele


Allele  Number of Populations 
 DPB1*03:01:01 44 

* 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.

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