Mapping determinants of human gene expression by regional and genome-wide association

By V. Cheung, R. Spielman, K. Ewens, Teresa M. Weber, M. Morley, Joshua T. Burdick. Nature, 2005

618 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/74e02be50a233bc63acb1157cd50f04caf53e05a

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Citations in the corpus

Mapping the Genetic Architecture of Gene Expression in Human Liver (2008, result): “The relatively large sample size of this study and the large number of SNPs genotyped provided the means to assess the relationship between genetic variants and gene expression with more statistical power than many previous studies allowed [11–13].”
Family-based association tests for genomewide association scans. (2007, methodology): “For eight others, we did not uncover evidence of cis association, despite the evidence of linkage reported by Morley et al.(32) In these cases, the linkage signal could be artifactual, the regulatory alleles may not be in strong disequilibrium with the phase I HapMap SNPs examined, or there may be m”
A common haplotype of interferon regulatory factor 5 (IRF5) regulates splicing and expression and is associated with increased risk of systemic lupus erythematosus (2006, background): “While this work was ongoing, others identified a common variant near IRF5 as one of the polymorphisms most strongly associated with gene expression variation in a genome-wide sca”
Identifying Causal Variants at Loci with Multiple Signals of Association (2014, methodology): “This locus was extensively fine mapped with the true causal variant already identified (Cheung et al. 2005; Chen and Witte 2007; Malo et al. 2008).”
Statistical Estimation of Correlated Genome Associations to a Quantitative Trait Network (2009, methodology): “…technologies have made it both affordable and efficient to observe DNA sequence variations over millions of genomic loci, to measure the abundance of transcripts of virtually all known coding sequences, and to measure a wide range of clinical traits in various disease populations [5,6,15,16].”
Genotype Imputation (2009, methodology): “To illustrate the potential of the approach, they reanalyzed the data of Cheung and colleagues (17).”
DNaseI sensitivity QTLs are a major determinant of human expression variation (2012, neutral): “–1 0 1 2 log2(odds) change (8) (5) (3) (2) eQTL dsQTL”
Asymptotic optimality of the Westfall--Young permutation procedure for multiple testing under dependence (2011, background): “The Annals of Statistics 2011, Vol. 39, No. 6, 3369–3391 DOI: 10.1214/11-AOS946 © Institute of Mathematical Statistics, 2011 ASYMPTOTIC OPTIMALITY OF THE WESTFALL–YOUNG PERMUTATION PROCEDURE FOR MULTIPLE TESTING UNDER DEPENDENCE1”