Genetic association studies: Design, analysis and interpretation

By Cathryn M. Lewis. Briefings Bioinform., 2002

499 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/134915856dc4a877cf1ad4d522cac96d21d92552

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In Genetics

Citations in the corpus

The future of association studies: gene-based analysis and replication. (2004, background): “Many of these issues have been the subject of recent reviews (Risch and Merikangas 1996; Terwilliger and Weiss 1998; Schork et al. 2000; Cardon and Bell 2001; Clayton and McKeigue 2001; Reich and Lander 2001; Lewis 2002).”
Applications of Linkage Disequilibrium and Association Mapping in Maize (2009, methodology): “The choice of association test is the last step of the study and is mostly dependent on the previous steps, according to the characteristics of the population that was used to collect the genotypic and phenotypic data ( Lewis 2002; Breseghello and Sorrells 2006a, b). Furthermore, possible complicat”
Association analysis using SSR markers to find QTL for seed protein content in soybean (2008, background): “case–control studies is selection of two well-defined groups representing patients and unaffected controls ( Lewis 2002; Ma et al. 2006).”
Provisional evidence that the arginine vasopressin 1a receptor gene is associated with musical memory (2007, background): “The reader is referred to two review articles that discuss for nonspecialists the main strategies used in establishing associations between genes and complex human traits (Balding, 2006; Lewis, 2002).”
Chapter 11: Genome-Wide Association Studies (2012, background): “The genotypes for a SNP can also be grouped into genotype classes or models, such as dominant, recessive, multiplicative, or additive models [29].”
Applications of Linkage Disequilibrium and Association Mapping in Crop Plants (2007, unknown): “The choice of association test is the last step of the study and is mostly dependent on the previous steps according to the characteristics of the population that was used to collect the genotypic and phenotypic data (Breseghello and Sorrells 2006a; Breseghello and Sorrells 2006b; Lewis 2002).”
Smart Engineering of Genetic Resources for Enhanced Salinity Tolerance in Crop Plants (2016, background): “Nevertheless, rare alleles cannot be detected via the association mapping due to limited statistical power of the method (Lewis, 2002).”