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Publication Detail

Title: Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines.

Authors: Atwell, Susanna; Huang, Yu S; Vilhjálmsson, Bjarni J; Willems, Glenda; Horton, Matthew; Li, Yan; Meng, Dazhe; Platt, Alexander; Tarone, Aaron M; Hu, Tina T; Jiang, Rong; Muliyati, N Wayan; Zhang, Xu; Amer, Muhammad Ali; Baxter, Ivan; Brachi, Benjamin; Chory, Joanne; Dean, Caroline; Debieu, Marilyne; de Meaux, Juliette; Ecker, Joseph R; Faure, Nathalie; Kniskern, Joel M; Jones, Jonathan D G; Michael, Todd; Nemri, Adnane; Roux, Fabrice; Salt, David E; Tang, Chunlao; Todesco, Marco; Traw, M Brian; Weigel, Detlef; Marjoram, Paul; Borevitz, Justin O; Bergelson, Joy; Nordborg, Magnus

Published In Nature, (2010 Jun 03)

Abstract: Although pioneered by human geneticists as a potential solution to the challenging problem of finding the genetic basis of common human diseases, genome-wide association (GWA) studies have, owing to advances in genotyping and sequencing technology, become an obvious general approach for studying the genetics of natural variation and traits of agricultural importance. They are particularly useful when inbred lines are available, because once these lines have been genotyped they can be phenotyped multiple times, making it possible (as well as extremely cost effective) to study many different traits in many different environments, while replicating the phenotypic measurements to reduce environmental noise. Here we demonstrate the power of this approach by carrying out a GWA study of 107 phenotypes in Arabidopsis thaliana, a widely distributed, predominantly self-fertilizing model plant known to harbour considerable genetic variation for many adaptively important traits. Our results are dramatically different from those of human GWA studies, in that we identify many common alleles of major effect, but they are also, in many cases, harder to interpret because confounding by complex genetics and population structure make it difficult to distinguish true associations from false. However, a-priori candidates are significantly over-represented among these associations as well, making many of them excellent candidates for follow-up experiments. Our study demonstrates the feasibility of GWA studies in A. thaliana and suggests that the approach will be appropriate for many other organisms.

PubMed ID: 20336072 Exiting the NIEHS site

MeSH Terms: Alleles; Arabidopsis Proteins/genetics; Arabidopsis/classification*; Arabidopsis/genetics*; Flowers/genetics; Genes, Plant/genetics; Genetic Loci/genetics; Genome, Plant/genetics*; Genome-Wide Association Study*; Genotype; Immunity, Innate/genetics; Inbreeding; Phenotype*; Polymorphism, Single Nucleotide/genetics

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