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Connection

Justin Borevitz to Genome-Wide Association Study

This is a "connection" page, showing publications Justin Borevitz has written about Genome-Wide Association Study.
  1. Global Diversity of the Brachypodium Species Complex as a Resource for Genome-Wide Association Studies Demonstrated for Agronomic Traits in Response to Climate. Genetics. 2019 01; 211(1):317-331.
    View in: PubMed
    Score: 0.387
  2. Genetic architecture of regulatory variation in Arabidopsis thaliana. Genome Res. 2011 May; 21(5):725-33.
    View in: PubMed
    Score: 0.228
  3. Association mapping of local climate-sensitive quantitative trait loci in Arabidopsis thaliana. Proc Natl Acad Sci U S A. 2010 Dec 07; 107(49):21199-204.
    View in: PubMed
    Score: 0.222
  4. Genetic variation for life history sensitivity to seasonal warming in Arabidopsis thaliana. Genetics. 2014 Feb; 196(2):569-77.
    View in: PubMed
    Score: 0.069
  5. Analysis and visualization of Arabidopsis thaliana GWAS using web 2.0 technologies. Database (Oxford). 2011; 2011:bar014.
    View in: PubMed
    Score: 0.058
  6. Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines. Nature. 2010 Jun 03; 465(7298):627-31.
    View in: PubMed
    Score: 0.053
  7. GWAS on multiple traits identifies mitochondrial ACONITASE3 as important for acclimation to submergence stress. Plant Physiol. 2022 03 28; 188(4):2039-2058.
    View in: PubMed
    Score: 0.031
  8. A coastal cline in sodium accumulation in Arabidopsis thaliana is driven by natural variation of the sodium transporter AtHKT1;1. PLoS Genet. 2010 Nov 11; 6(11):e1001193.
    View in: PubMed
    Score: 0.014
  9. Natural allelic variation underlying a major fitness trade-off in Arabidopsis thaliana. Nature. 2010 Jun 03; 465(7298):632-6.
    View in: PubMed
    Score: 0.013
  10. A common and unstable copy number variant is associated with differences in Glo1 expression and anxiety-like behavior. PLoS One. 2009; 4(3):e4649.
    View in: PubMed
    Score: 0.012
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.