The genetic architecture of quantitative traits.

By T. Mackay. Annual Review of Genetics, 2001

1,188 citations recorded by the source corpus.

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Citations in the corpus

Genotype-by-Environment Interaction and Plasticity: Exploring Genomic Responses of Plants to the Abiotic Environment (2013, background): “A central feature of genetic architecture is the number of genes controlling a polygenic trait, where the number of QTLs can be a proxy for the lower bound of this quantity (Mackay 2001).”
Prospects for genomewide selection for quantitative traits in maize (2007, methodology): “Several approaches for discovering QTL have been proposed: comparative genomics, association genetics, candidate-gene approach, and QTL mapping (reviewed by Mackay, 2001 ).”
Linkage disequilibrium and association studies in higher plants: Present status and future prospects (2005, methodology): “One may therefore like to use linkage analysis for preliminary location of QTLs and then use LD for more precise location (Mackay, 2001; Glazier et al., 2002; also see later for joint linkage/LD studies).”
QTL mapping for yield and yield contributing traits in two mapping populations of bread wheat (2007, background): “A dissection of these interactions is needed to better understand the genetic control of a trait (Holland 2001; Mackay 2001; Carlborg and Haley 2004; Erickson 2005).”
Dominance genetic variation contributes little to the missing heritability for human complex traits. (2015, background): “, obesity and blood pressure) is due to many genes and their interplay with environmental factors.(1) These traits are called ‘‘complex traits’’ to differentiate them from Mendelian traits.”
Two Genes Predict Voter Turnout (2008, positive): “While in some cases one allele can single-handedly lead to a disease (such as Sickle Cell Anemia, Huntingtons disease, and cystic fibrosis), the vast majority of phenotypes are ‘‘polygenic,’’ meaning they are influenced by multiple genes (Mackay 2001; Plomin 2008) and are shaped by a multitude of en”
Microsatellites and their genomic distribution, evolution, function and applications : A review with special reference to fish genetics (2006, background): “The size and nature of these effects also can be affected by the genetic background (the total genotype of the individual), and interactions between QTLs are common (Mackay, 2001).”
WebQTL - Web-based complex trait analysis (2003, neutral): “The latter searches define quantitative trait loci (QTLs), regions expected to contain genes controlling the trait (Broman, 2001; Mackay, 2001; Barton and Keightley, 2002; Doerge, 2002; Phillips and Belknap, 2002).”
Genetic association mapping and genome organization of maize. (2006, methodology): “Two of the most commonly used tools for dissecting complex traits are linkage analysis and association mapping [1,2].”
Rapid and cost-effective polymorphism identification and genotyping using restriction site associated DNA (RAD) markers. (2007, background): “The same fundamental approach allows a statistical association between a genomic region and a proportion of the phenotypic variance for quantitative traits (Lynch and Walsh 1998; Mackay 2001; Doerge 2002).”
The genetics of quantitative traits: challenges and prospects (2009, background): “Despite two decades of intensive effort, we have fallen short of our long-term goal of explaining genetic variation for quantitative traits in terms of the underlying genes, the effects of segregating alleles in different genetic backgrounds and in a range of ecologically relevant environments as we”
Linkage disequilibrium, genetic association mapping and gene localization in crop plants (2008, methodology): “One may therefore like to use linkage analysis for preliminary location of QTLs and then use LD for more precise location (Mackay, 2001; Glazier et al., 2002).”