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Dina A. St. Clair

Researcher at University of California, Davis

Publications -  33
Citations -  2128

Dina A. St. Clair is an academic researcher from University of California, Davis. The author has contributed to research in topics: Quantitative trait locus & Population. The author has an hindex of 19, co-authored 31 publications receiving 1985 citations.

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Global eQTL Mapping Reveals the Complex Genetic Architecture of Transcript-Level Variation in Arabidopsis

TL;DR: The first large-scale global eQTL study in a relatively large plant mapping population reveals that the genetic control of transcript level is highly variable and multifaceted and that this complexity may be a general characteristic of eukaryotes.
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Quantitative Disease Resistance and Quantitative Resistance Loci in Breeding

TL;DR: Increasing the biological knowledge of QDR and QRLs will enhance understanding of how QDR differs from qualitative resistance and provide the necessary information to better deploy these resources in breeding.
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High-density haplotyping with microarray-based expression and single feature polymorphism markers in Arabidopsis

TL;DR: Two types of genetic markers from Affymetrix GeneChip expression data were developed to generate detailed haplotypes for 148 recombinant inbred lines (RILs) derived from Arabidopsis thaliana accessions Bayreuth and Shahdara, which provided robust markers in 187 and 968 genes.
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Global expression analysis of nucleotide binding site-leucine rich repeat-encoding and related genes in Arabidopsis.

TL;DR: Transcripts of many NBS-LRR-encoding and related genes were defined, most were present at low levels and exhibited tissue-specific expression patterns, and no obvious correlation between expression pattern, phylogenetic relationship or genomic location was studied.
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Identification of QTLs controlling gene expression networks defined a priori

TL;DR: A statistical approach that is capable of assessing higher-order a priori defined gene network response, as measured by microarrays is described and has the potential to be expanded to facilitate direct tests of the relationship between phenotypic trait and transcript genetic architecture.