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*06

Allele reported 181 time(s) and present in 177 population(s).

Population Phenotype
Frequency (%)
Allele
Frequency
(in_decimals)
Sample
Size
IMGT/HLA¹
Database
Distribution² Haplotype³
Association
Notesª
ZAFSouth Africa Limpopo Venda0.4370117See
TZATanzania Dodoma Kongwa0.4200212See
SDNSudan Khartoum0.418498See
TTOTrinidad South Asian0.370087See
INDIndia Bikaner Non-Raikas58.00.3520127See
RUSRussia North Ossetian54.30.3425127See
PAKPakistan Burusho0.328092See
COLColombia Antioquia Paisa0.3230100See
SDNSudan Mixed60.50.3180200See
CHNChina Shandong Province Linqu County53.20.3158139See
LKASri Lanka Colombo Sinhalese0.3080101See
NORNorway ethnic Norwegians51.20.30344510See
USAUSA Southeast African American37.50.2950112See
RUSRussia Northwest pop 250.00.2930346See
BFABurkina Faso Mossi0.290053See
INDIndia Bikaner Raikas48.50.2820143See
NORNorway pop 20.2820576See
FRAFrance West Breton0.2800150See
RUSRussia Northwest50.00.27401011See
GBRUnited Kingdom Orkney0.273388See
PAKPakistan Mixed Pathan0.2700100See
SAUSaudi Arabia pop 20.2690383See
SWESweden pop 447.50.2676966See
ESPSpain Minorca0.265094See
MARMorocco pop 20.2640110See
IRQIraq Arabs45.00.2617149See
TTOTrinidad African0.260067See
GBRUnited Kingdom Central0.2594135See
GBRUnited Kingdom North0.2531330See
INDIndia New Delhi pop 20.2500102See
BRABrazil Sao Paulo Mixed47.30.2500239See
VENVenezuela Zulia San Jose de Heras Mixed0.250020See
RUSRussia Northwest pop 345.00.2500100See
BELBelgium47.50.248099See
FRAFrance Southeast43.10.2460130See
SAUSaudi Arabia pop 440.50.2456499See
INDIndia North Gujarat42.40.2424338See
ENGEngland42.60.2423537See
TURTurkey pop 30.240050See
NORNorway Sami0.2380200See
MEXMexico Baja California, La Paz0.233375See
WALWales pop 241.00.232039979See
GBRUnited Kingdom South West0.2250163See
MEXMexico Sinaloa Mestizo0.223056See
RUSRussia Moscow0.22202650See
BFABurkina Faso Rimaibe0.220047See
GBRUnited Kingdom East0.2134163See
PRTPortugal North pop 20.21311801See
ESPSpain, Castilla y Leon, Northwest,37.10.21241743See
ALBAlbanian Kosovo0.2083120See
SRBSerbia Vojvodina36.70.2080400See
GBRUnited Kingdom pop 20.2050101See
ESPSpain Valencia36.20.2012577See
HRVCroatia pop 340.00.2000120See
ALBAlbania0.1930160See
CUBCuba Mixed0.192078See
PAKPakistan Kalash0.188069See
ALBAlbania pop 235.00.1850432See
HRVCroatia pop 20.1840100See
ESPSpain Majorca0.1830407See
MEXMexico Chihuahua Rural0.1820236See
ESPSpain Majorcans Jews0.1800103See
BRABrazil North East Mixed0.1800205See
ROMRomania pop 20.18006936See
RUSRussia Transbaikal Territory Buryats33.00.1770150See
PAKPakistan Mixed Sindhi0.1770101See
MYSMalaysia pop 20.172062See
BFABurkina Faso Fulani0.170049See
MEXMexico Sinaloa, Culiacán0.1699103See
VENVenezuela Valencia and Maracaibo Caracus Mixed0.167096See
KURIraq Kurdistan Region30.10.1670209See
GTMGuatemala, Guatemala City Mixed Ancestry29.90.1654127See
IRNIran pop 30.1650100See
MEXMexico Sonora Rural0.1624197See
MEXMexico Tapachula, Chiapas Mestizo Population30.60.159772See
ROMRomania pop 329.20.15871469See
PAKPakistan Karachi Parsi0.155091See
ITAItaly pop 428.60.15504575See
IRQIraq Erbil29.30.1519372See
MEXMexico Veracruz, Coatzacoalcos0.151855See
MEXMexico Tamaulipas Rural0.1508125See
MEXMexico Baja Californa, Mexicali0.1500100See
MEXMexico Jalisco Rural0.1459585See
SRBSerbia pop 327.00.14471992See
ESPSpain Ibiza0.144088See
CHNChina Inner Mongolia Region Ewenki0.143094See
MEXMexico Zacatecas, Zacatecas city0.142984See
MEXMexico Jalisco, Tonala0.142935See
MEXMexico Sinaloa Rural0.1421183See
PAKPakistan Baloch0.142066See
MEXMexico Sonora, Hermosillo0.141499See
MEXMexico Jalisco, Tlaquepaque0.141039See
VNMVietnam Hanoi0.140050See
MEXMexico Tabasco, Villahermosa0.134182See
MEXMexico Nuevo Leon, Monterrey city0.1327226See
MEXMexico Chiapas, Tuxtla Gutierrez0.132152See
MEXMexico Durango Rural0.1315326See
MEXMexico Coahuila Rural0.1307216See
MEXMexico Chihuahua Chihuahua City0.1303119See
MEXMexico Chihuahua, Ciudad Juarez0.1296106See
MEXMexico Sonora, Ciudad Obregón0.1294143See
MYSMalaysia Perak and Johor Banjar Bugis Jawa0.128094See
MEXMexico Mexico City Center0.1266152See
MEXMexico Michoacan Rural0.1261348See
MEXMexico Nayarit Rural0.125064See
MEXMexico Jalisco, Zapopan0.1250168See
MEXMexico Jalisco, Guadalajara city0.11981189See
ECUEcuador Coast Mixed Ancestry0.1176238See
MEXMexico Zacatecas Rural0.1171266See
MEXMexico Jalisco, Tlajomulco0.116730See
MEXMexico Guanajuato, Guanajuato city0.113622See
MEXMexico Coahuila, Saltillo0.109672See
MEXMexico Guanajuato, Leon0.109078See
MEXMexico Mexico City Mestizo0.1070121See
MEXMexico Campeche Rural0.106447See
MEXMexico Coahuila, Torreon0.1063396See
MEXMexico Tabasco Rural0.1056142See
MEXMexico Aguascalientes state0.105395See
MEXMexico Veracruz, Xalapa0.1043187See
ECUEcuador Amazonia Mixed Ancestry0.102639See
MYSMalaysia Negeri Sembilan Minangkabau0.100034See
MEXMexico Durango, Durango city0.1000153See
VENVenezuela Zulia Maracaibo Mixed0.100020See
MEXMexico Nuevo Leon Rural0.0989439See
MEXMexico Veracruz, Cordoba0.098256See
MEXMexico Yucatan Rural0.0970132See
ECUEcuador Mixed Ancestry0.09551173See
MEXMexico Zacatecas, Fresnillo0.0952103See
MEXMexico Queretaro Rural0.093043See
MEXMexico Nayarit, Tepic0.092897See
MEXMexico Oaxaca, Oaxaca city0.0927151See
MEXMexico Hidalgo Rural0.092681See
MEXMexico Guanajuato Rural0.0920162See
MEXMexico Veracruz, Orizaba0.091760See
MEXMexico Puebla Mestizo0.091099See
MEXMexico Guerrero state0.0903144See
MEXMexico Colima, Colima city0.090261See
MEXMexico Veracruz, Veracruz city0.0901171See
MEXMexico Baja California Rural0.090050See
MEXMexico Veracruz Rural0.0896539See
MEXMexico Michoacan, Morelia0.0894150See
MEXMexico Queretaro, Queretaro city0.088945See
MEXMexico Campeche, Campeche city0.088234See
MMRMyanmar Bamar17.40.087046See
MEXMexico Tamaulipas, Ciudad Victoria0.087023See
ECUEcuador Andes Mixed Ancestry0.0868824See
MEXMexico Mexico City Metropolitan Area Rural0.0822150See
MEXMexico San Luis Potosi Rural0.080587See
MEXMexico Puebla Rural0.0761833See
MEXMexico Mexico City East0.075079See
MEXMexico Chiapas Rural0.0744121See
MEXMexico Tlaxcala, Tlaxcala city0.0718181See
PAKPakistan Brahui0.0700104See
TURTurkey Ankara0.070050See
MEXMexico Colima Rural0.068243See
MEXMexico Mexico City South0.067352See
MEXMexico Yucatan, Merida0.0667192See
MEXMexico Puebla, Puebla city0.06561994See
MEXMexico Tlaxcala Rural0.0639830See
MEXMexico Mexico City North0.0624751See
MEXMexico Baja California, Tijuana0.060025See
MEXMexico Mexico City West0.058833See
PERPeru Quechua0.057044See
MEXMexico Oaxaca Rural0.0544485See
MEXMexico Veracruz, Poza Rica0.044445See
MYSMalaysia Perak Rawa0.040023See
MEXMexico Quintana Roo Rural0.040050See
MEXMexico Hidalgo, Pachuca0.036641See
MEXMexico San Luis Potosi, San Luis Potosi city0.033330See
MEXMexico Quintana Roo, Cancun0.031348See
MEXMexico Morelos, Cuernavaca0.030582See
HRVCroatia Krk Island Dubasnica0.024023See
GEOGeorgia Kurds0.017030See
FINFinland0.014091See
BRABrazil Guarani Nandeva0.006086See
CHLChile Santiago Mixed1.00.005070See
ARGArgentina Salta Wichi pop 20.00.000019See
MEXMexico Huasteca Region Teenek0.000055See
MEXMexico Morelos Rural0.000030See
PRYParaguay Aché0.000087See

See also higher resolution data of this allele


Allele  Number of Populations 
 DQB1*06:238 
 DQB1*06:07:01 
 DQB1*06:11:01 17 
 DQB1*06:03:01:01 
 DQB1*06:02:26 
 DQB1*06:30 
 DQB1*06:221 
 DQB1*06:243 
 DQB1*06:91 
 DQB1*06:48 
 DQB1*06:02:07 
 DQB1*06:67 
 DQB1*06:04:02 
 DQB1*06:01:07 
 DQB1*06:11:02 12 
 DQB1*06:110 
 DQB1*06:69 
 DQB1*06:36 
 DQB1*06:22 
 DQB1*06:145 
 DQB1*06:01:08 
 DQB1*06:214 
 DQB1*06:05 122 
 DQB1*06:33 
 DQB1*06:56 
 DQB1*06:15 32 
 DQB1*06:108 
 DQB1*06:88 
 DQB1*06:01 333 
 DQB1*06:11 43 
 DQB1*06:53 
 DQB1*06:306N 
 DQB1*06:39 
 DQB1*06:02:02 
 DQB1*06:161 
 DQB1*06:07 64 
 DQB1*06:38 
 DQB1*06:02:01:01 
 DQB1*06:162 
 DQB1*06:02:05 
 DQB1*06:164 
 DQB1*06:17 15 
 DQB1*06:85 
 DQB1*06:02:10 
 DQB1*06:58 
 DQB1*06:64 
 DQB1*06:09 184 
 DQB1*06:117 
 DQB1*06:289 
 DQB1*06:92 
 DQB1*06:341N 
 DQB1*06:04:01 37 
 DQB1*06:19 13 
 DQB1*06:146 
 DQB1*06:01:01:01 
 DQB1*06:241 
 DQB1*06:83 
 DQB1*06:01:19 
 DQB1*06:97 
 DQB1*06:25 
 DQB1*06:73 
 DQB1*06:34 
 DQB1*06:02:01 23 
 DQB1*06:02:04 
 DQB1*06:02 405 
 DQB1*06:26N 
 DQB1*06:08:01 
 DQB1*06:54N 
 DQB1*06:13:02 
 DQB1*06:12 31 
 DQB1*06:141 
 DQB1*06:23 
 DQB1*06:13:01 
 DQB1*06:90 
 DQB1*06:13 33 
 DQB1*06:70 
 DQB1*06:29 
 DQB1*06:202 
 DQB1*06:125 
 DQB1*06:206 
 DQB1*06:22:01 
 DQB1*06:111 
 DQB1*06:04:01:01 
 DQB1*06:01:03 
 DQB1*06:173 
 DQB1*06:20 13 
 DQB1*06:123 
 DQB1*06:09:01:01 
 DQB1*06:84 
 DQB1*06:144N 
 DQB1*06:118 
 DQB1*06:35 
 DQB1*06:155 
 DQB1*06:10 53 
 DQB1*06:31 
 DQB1*06:03:08 
 DQB1*06:55 
 DQB1*06:05:02 15 
 DQB1*06:02:13 
 DQB1*06:190 
 DQB1*06:03:27 
 DQB1*06:157 
 DQB1*06:06 54 
 DQB1*06:24 
 DQB1*06:79 
 DQB1*06:16 13 
 DQB1*06:41 
 DQB1*06:03:02 
 DQB1*06:03 364 
 DQB1*06:05:01 30 
 DQB1*06:27 
 DQB1*06:14:01 
 DQB1*06:62 
 DQB1*06:02:23 
 DQB1*06:28 
 DQB1*06:193N 
 DQB1*06:49 
 DQB1*06:81 
 DQB1*06:63 
 DQB1*06:08 79 
 DQB1*06:121 
 DQB1*06:18 11 
 DQB1*06:09:01 19 
 DQB1*06:140 
 DQB1*06:106 
 DQB1*06:71 
 DQB1*06:22:03 
 DQB1*06:14:02 
 DQB1*06:32 
 DQB1*06:40 
 DQB1*06:74 
 DQB1*06:153 
 DQB1*06:75N 
 DQB1*06:52 
 DQB1*06:208 
 DQB1*06:89 
 DQB1*06:07:02 
 DQB1*06:21 
 DQB1*06:122 
 DQB1*06:151 
 DQB1*06:15:01 
 DQB1*06:126 
 DQB1*06:01:01 34 
 DQB1*06:37 
 DQB1*06:04 315 
 DQB1*06:03:01 24 
 DQB1*06:46 
 DQB1*06:210 
 DQB1*06:78 
 DQB1*06:80 
 DQB1*06:337 
 DQB1*06:57 
 DQB1*06:14 42 
 DQB1*06:01:02 10 

* 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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