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.

   

DQB1*03

Allele reported 87 time(s) and present in 87 population(s).

Population Phenotype
Frequency (%)
Allele
Frequency
(in_decimals)
Sample
Size
IMGT/HLA¹
Database
Distribution² Haplotype³
Association
Notesª
BRABrazil Guarani Nandeva0.726086See
MEXMexico Tapachula, Chiapas Mestizo Population75.00.569472See
MMRMyanmar Kayin75.00.545544See
VNMVietnam Hanoi0.510050See
MYSMalaysia Perak and Johor Banjar Bugis Jawa0.505094See
TURTurkey pop 20.4820228See
IRQIraq Erbil92.70.4810372See
CHNChina Inner Mongolia Region Ewenki0.474094See
FRAFrance Southeast71.50.4670130See
TURTurkey Ankara0.460050See
RUSRussia Northwest pop 269.50.4480346See
ITAItaly pop 467.70.43204575See
KURIraq Kurdistan Region67.90.4310209See
BFABurkina Faso Rimaibe0.430047See
USAUSA OPTN Hispanic0.43001580See
RUSRussia Transbaikal Territory Buryats67.00.4300150See
VENVenezuela Zulia Maracaibo Mixed0.425020See
MMRMyanmar Bamar65.20.423946See
CHNChina Shandong Province Linqu County65.50.4126139See
ALBAlbania pop 263.50.4050432See
ALBAlbanian Kosovo0.4042120See
VENVenezuela Valencia and Maracaibo Caracus Mixed0.396096See
USAUSA OPTN Asian0.3910261See
ALBAlbania0.3860160See
MYSMalaysia pop 20.384062See
ESPSpain Majorcans Jews0.3830103See
INDIndia North Gujarat54.60.3788338See
BFABurkina Faso Fulani0.370049See
ROMRomania pop 362.30.36731469See
INDIndia New Delhi pop 20.3630102See
MYSMalaysia Perak Rawa0.350023See
USAUSA OPTN Caucasian0.34908525See
WALWales pop 257.30.347039979See
NORNorway pop 20.3450576See
ENGEngland56.80.3427537See
GBRUnited Kingdom Central0.3421135See
GBRUnited Kingdom East0.3408163See
NORNorway Sami0.3380200See
GBRUnited Kingdom South West0.3375163See
SRBSerbia pop 354.70.33331992See
RUSRussia Moscow0.33002650See
TURTurkey pop 30.330050See
BRABrazil North East Mixed0.3300205See
SWESweden pop 455.50.3282966See
RUSRussia Northwest pop 354.00.3250100See
HRVCroatia pop 359.20.3250120See
NORNorway ethnic Norwegians54.30.32184510See
GBRUnited Kingdom Orkney0.319888See
ESPSpain, Castilla y Leon, Northwest,51.60.31831743See
IRLIreland Donegal52.50.3140200See
GBRUnited Kingdom North0.3083330See
RUSRussia North Ossetian52.00.3071127See
ESPSpain Ibiza0.305088See
IRLIreland Wexford52.50.3030200See
SRBSerbia Vojvodina48.20.3000400See
VENVenezuela Zulia San Jose de Heras Mixed0.300020See
HRVCroatia pop 20.2990100See
ROMRomania pop 20.29006936See
BRABrazil Sao Paulo Mixed53.50.2880239See
ESPSpain Minorca0.280094See
SDNSudan Khartoum0.275598See
PRTPortugal North pop 20.27431801See
PAKPakistan Mixed Pathan0.2700100See
IRQIraq Arabs46.30.2686149See
ESPSpain Majorca0.2580407See
SAUSaudi Arabia pop 442.80.2508499See
MARMorocco pop 20.2500110See
MYSMalaysia Negeri Sembilan Minangkabau0.250034See
TTOTrinidad South Asian0.240087See
USAUSA OPTN African American0.23801510See
SAUSaudi Arabia pop 20.2350383See
BFABurkina Faso Mossi0.230053See
PAKPakistan Kalash0.224069See
INDIndia Bikaner Non-Raikas39.50.2220127See
TTOTrinidad African0.220067See
USAUSA Southeast African American40.20.2190112See
PAKPakistan Mixed Sindhi0.1970101See
LKASri Lanka Colombo Sinhalese0.1920101See
PAKPakistan Burusho0.161092See
TZATanzania Dodoma Kongwa0.1350212See
ZAFSouth Africa Limpopo Venda0.1240117See
PAKPakistan Brahui0.1100104See
FINFinland0.100091See
INDIndia Bikaner Raikas18.70.0980143See
GEOGeorgia Kurds0.017030See
RUSRussia Bashkortostan, Tatars0.50.0026192See

See also higher resolution data of this allele


Allele  Number of Populations 
 DQB1*03:257 
 DQB1*03:166 
 DQB1*03:339N 
 DQB1*03:132 
 DQB1*03:119 
 DQB1*03:221 
 DQB1*03:01:02 
 DQB1*03:142 
 DQB1*03:81 
 DQB1*03:139 
 DQB1*03:154 
 DQB1*03:232 
 DQB1*03:01:05 
 DQB1*03:199 
 DQB1*03:17 
 DQB1*03:72 
 DQB1*03:47 
 DQB1*03:22 
 DQB1*03:53 
 DQB1*03:10:02 
 DQB1*03:20 
 DQB1*03:70 
 DQB1*03:08 33 
 DQB1*03:235 
 DQB1*03:265 
 DQB1*03:02:01 27 
 DQB1*03:78 
 DQB1*03:157 
 DQB1*03:01:21 
 DQB1*03:28 
 DQB1*03:01:27 
 DQB1*03:01:34 
 DQB1*03:15 
 DQB1*03:147 
 DQB1*03:01:26 
 DQB1*03:211 
 DQB1*03:11 15 
 DQB1*03:87 
 DQB1*03:62 
 DQB1*03:137 
 DQB1*03:34 
 DQB1*03:195 
 DQB1*03:135 
 DQB1*03:174 
 DQB1*03:04:01 13 
 DQB1*03:68 
 DQB1*03:19 19 
 DQB1*03:67 
 DQB1*03:201 
 DQB1*03:278 
 DQB1*03:10 19 
 DQB1*03:03:06 
 DQB1*03:13 21 
 DQB1*03:02:02 
 DQB1*03:179 
 DQB1*03:02:08 
 DQB1*03:14:02 
 DQB1*03:02 518 
 DQB1*03:163 
 DQB1*03:01:08 
 DQB1*03:29 
 DQB1*03:131 
 DQB1*03:38 
 DQB1*03:277 
 DQB1*03:65 
 DQB1*03:99Q 
 DQB1*03:150 
 DQB1*03:252 
 DQB1*03:138 
 DQB1*03:01:03 
 DQB1*03:104 
 DQB1*03:17:01 
 DQB1*03:05:02 
 DQB1*03:16 
 DQB1*03:130 
 DQB1*03:46 
 DQB1*03:27 
 DQB1*03:14 
 DQB1*03:44 
 DQB1*03:194 
 DQB1*03:184 
 DQB1*03:31 
 DQB1*03:05 136 
 DQB1*03:25 
 DQB1*03:01:22 
 DQB1*03:75 
 DQB1*03:01:18 
 DQB1*03:172 
 DQB1*03:01:13 
 DQB1*03:01:04 
 DQB1*03:196 
 DQB1*03:40 
 DQB1*03:113 
 DQB1*03:158 
 DQB1*03:19:01 
 DQB1*03:05:01 
 DQB1*03:146 
 DQB1*03:107 
 DQB1*03:09 19 
 DQB1*03:52 
 DQB1*03:03:02:02 
 DQB1*03:02:03 
 DQB1*03:178 
 DQB1*03:244 
 DQB1*03:229 
 DQB1*03:121 
 DQB1*03:254 
 DQB1*03:188 
 DQB1*03:241 
 DQB1*03:37 
 DQB1*03:64 
 DQB1*03:23 
 DQB1*03:01:32 
 DQB1*03:01:28 
 DQB1*03:03:02 110 
 DQB1*03:02:17 
 DQB1*03:242 
 DQB1*03:07 38 
 DQB1*03:180 
 DQB1*03:03:05 
 DQB1*03:04:03 
 DQB1*03:69 
 DQB1*03:01:14 
 DQB1*03:251 
 DQB1*03:118N 
 DQB1*03:167 
 DQB1*03:63 
 DQB1*03:239 
 DQB1*03:218 
 DQB1*03:76 
 DQB1*03:185 
 DQB1*03:26 
 DQB1*03:96 
 DQB1*03:01 522 
 DQB1*03:01:38 
 DQB1*03:24 
 DQB1*03:01:33 
 DQB1*03:120 
 DQB1*03:74 
 DQB1*03:21 
 DQB1*03:186 
 DQB1*03:234 
 DQB1*03:148 
 DQB1*03:141 
 DQB1*03:02:15 
 DQB1*03:03:03 10 
 DQB1*03:30 
 DQB1*03:197Q 
 DQB1*03:59 
 DQB1*03:129 
 DQB1*03:18 
 DQB1*03:105 
 DQB1*03:264 
 DQB1*03:03:02:01 
 DQB1*03:01:24 
 DQB1*03:10:01 
 DQB1*03:133 
 DQB1*03:48 
 DQB1*03:191 
 DQB1*03:03 416 
 DQB1*03:215 
 DQB1*03:82 
 DQB1*03:57 
 DQB1*03:01:07 
 DQB1*03:231 
 DQB1*03:36 
 DQB1*03:207 
 DQB1*03:01:01 38 
 DQB1*03:01:06 
 DQB1*03:114 
 DQB1*03:208 
 DQB1*03:109 
 DQB1*03:06 35 
 DQB1*03:112 
 DQB1*03:134 
 DQB1*03:108 
 DQB1*03:04 227 
 DQB1*03:162 
 DQB1*03:12 18 

* 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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