Finding Genes That Underlie Complex Traits
By A. Glazier, J. Nadeau, T. Aitman. Science, 2002
915 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/366003669e61dca233d05d5697159584119099e0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Peter N. Robinson
- Hemant Ishwaran
- P. Kulwal
- Jose Luis Araus
- Pankaj Kumar Gupta
- S. Rustgi
- Conxita Royo
- Sebastian Köhler
In Molecular Biology
- Peter N. Robinson
- Sebastian Köhler
- C. Haley
- Rui Jiang
- F. Volckaert
- B. Hellemans
- Wayne C. Drevets
- Pankaj Kumar Gupta
Citations in the corpus
- Breeding for Yield Potential and Stress Adaptation in Cereals (2008, background): “However, while it is often possible to associate a candidate gene with a QTL, it is not easy to prove that the candidate contributes to the expression of the trait of interest (Glazier et al., 2002).”
- Walking the interactome for prioritization of candidate disease genes. (2008, background): “3,4 Sequencing large numbers of candidate genes remains a time-consuming and expensive task, and it is often not possible to identify the correct disease gene by inspection of the list of genes within the interval.”
- Mammalian circadian biology: elucidating genome-wide levels of temporal organization. (2004, background): “Only one core clock gene, CKIε, maps to within 10 cM of one of the QTLs on chromosome 15.”
- What can Statistics Contribute to a Causal Understanding? (2007, background): “By 2002, more than 1400 genes had been identified, for approximately 1200 Mendelian traits (Glazier et al., 2002).”
- Discovering Endophenotypes for Major Depression (2004, background): “…susceptibility genes interacting with developmental factors, both day-to-day and profound environmental events, epigenetic DNA modifications, and possible entirely stochastic mechanisms eventually lead to the development of normal and abnormal human behaviors (Petronis, 2001; Glazier et al, 2002).”
- A regulatory mutation in IGF2 causes a major QTL effect on muscle growth in the pig (2003, methodology): “This chromosome collection was expanded by including Q and q chromosomes from the following: (1) a wild boar/Large White intercross segregating for the QTL(5); (2) a Swedish Landrace boar showing no evidence for QTL segregation in a previous study(10); and (3) F1 sires from a Hampshire/Landrace cros”
- Most rare missense alleles are deleterious in humans: implications for complex disease and association studies. (2007, background): “netic causes of rare Mendelian diseases, complex diseases have proven to be a more challenging problem.(1,2) Genetic”
- 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).”
- A random forest approach to the detection of epistatic interactions in case-control studies (2009, background): “…have made it widely accepted that Mendelian disorders that are caused by individual genetic variants are rare, whereas complex diseases that are speculated to be caused by multiple genetic variants, their interactive effects, and/or their interactions with environment factors are common [1,2].”