Aarhus University Seal / Aarhus Universitets segl

Bjarni Jóhann Vilhjálmsson

GWAPP: a web application for genome-wide association mapping in Arabidopsis

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

  • Ümit Seren
  • ,
  • Bjarni Jóhann Vilhjálmsson
  • Matthew W Horton
  • ,
  • Dazhe Meng
  • ,
  • Petar Forai
  • ,
  • Yu S Huang, Ukendt
  • Quan Long
  • ,
  • Vincent Segura, Ukendt
  • Magnus Nordborg

Arabidopsis thaliana is an important model organism for understanding the genetics and molecular biology of plants. Its highly selfing nature, small size, short generation time, small genome size, and wide geographic distribution make it an ideal model organism for understanding natural variation. Genome-wide association studies (GWAS) have proven a useful technique for identifying genetic loci responsible for natural variation in A. thaliana. Previously genotyped accessions (natural inbred lines) can be grown in replicate under different conditions and phenotyped for different traits. These important features greatly simplify association mapping of traits and allow for systematic dissection of the genetics of natural variation by the entire A. thaliana community. To facilitate this, we present GWAPP, an interactive Web-based application for conducting GWAS in A. thaliana. Using an efficient implementation of a linear mixed model, traits measured for a subset of 1386 publicly available ecotypes can be uploaded and mapped with a mixed model and other methods in just a couple of minutes. GWAPP features an extensive, interactive, and user-friendly interface that includes interactive Manhattan plots and linkage disequilibrium plots. It also facilitates exploratory data analysis by implementing features such as the inclusion of candidate polymorphisms in the model as cofactors.

OriginalsprogEngelsk
TidsskriftPlant Cell
Vol/bind24
Nummer12
Sider (fra-til)4793-805
Antal sider13
ISSN1040-4651
DOI
StatusUdgivet - dec. 2012
Eksternt udgivetJa

Se relationer på Aarhus Universitet Citationsformater

ID: 83868550