A statistical framework for quantitative trait mapping.

By Śaunak Sen, Gary A. Churchill. Genetics, 2001

650 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/19a3f5fa915385cb95d8575acbff3f6ee7424410

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Inclusive composite interval mapping of quantitative trait genes. (2009, unknown): “A global search reveals epistatic interaction between QTL for early growth in the chicken.”
Identification and characterization of QTL underlying whole‐plant physiology in Arabidopsis thaliana: δ13C, stomatal conductance and transpiration efficiency (2005, methodology): “We mapped QTL using the Pseudomarker multiple-QTL framework presented by Sen & Churchill (2001).”
Molecular techniques in crop improvement (2002, methodology): “An approach put forward by Sen and Churchill (2001) breaks the QTL problem into two distinct parts: the relationship between the QTL and the quantitative trait, and the location of the QTL.”
QGene 4.0, an extensible Java QTL-analysis platform (2008, background): “, 1999), Map Manager (Manly and Olson, 1999), pseudomarker (Sen and Churchill, 2001), QTL Express (Seaton et al.”
R/qtl: QTL Mapping in Experimental Crosses (2003, methodology): “…genome scans and two-dimensional, two-QTL genome scans, under a normal model, with the possible inclusion of covariates, by the EM algorithm (Dempsteret al., 1977; Lander and Botstein, 1989), Haley–Knott regression (Haley and Knott, 1992), and multiple imputation (Sen and Churchill, 2001).”
A Default Bayesian Hypothesis Test for ANOVA Designs (2012, background): “…(e.g., Gelman et al. 2004; Qian and Shen 2007; Ntzoufras 2009; Kaufman and Sain 2010), the latter has dealt almost exclusively with estimation, not testing (for exceptions, see Westfall and Gönen 1996; Sen and Churchill 2001; Ishwaran and Rao 2003; Ball 2005; Gönen et al. 2005; Maruyama 2009).”
A new multipoint method for genome-wide association studies by imputation of genotypes (2007, methodology): “A similar relationship exists between our methods and those used in model organisms 17 and suggests that there exists a general statistical framework that may unify ideas across disciplines and stimulate the development of methods for detecting risk factors in a general class of genetic studies.”
A review of Bayesian variable selection methods: what, how and which (2009, methodology): “We do not consider some methods, such as Bayesian approximative computational approaches (e.g. Ball 2001; Sen and Churchill 2001) or methods based on calculating model choice criteria, such as DIC (Spiegelhalter et al.”
Mapping the genetic architecture of complex traits in experimental populations (2007, methodology): “Mapping and characterizing the isolated effects of single quantitative trait locus (QTL) is a first step, but we also need to assemble networks of QTLs and define non-additive interactions (epistasis) together with a host of potential environmental modulators.”
A Modified Algorithm for the Improvement of Composite Interval Mapping (2007, methodology): “…and effect estimation (Lander and Botstein 1989; Haley and Knott 1992; Jansen 1994; Wright and Mowers 1994; Zeng 1994; Satagopan et al. 1996; Whittaker et al. 1996; Piepho and Gauch 2001; Sen and Churchill 2001; Broman and Speed 2002; van den Oord and Sullivan 2003; Xu 2003; Bogdan et al. 2004).”
A Multiparent Advanced Generation Inter-Cross to Fine-Map Quantitative Traits in Arabidopsis thaliana (2009, unknown): “Instead, stable unbiased estimates are obtained by multiple imputation [58]; M~100 design matrices X 1 ð Þ,X 2 ð Þ, .”