Genetics and Analysis of Quantitative Traits.

By F. Pirchner. 2000

376 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/59f0ce92181f79ee7a55080f722ab923e1149aca

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Citations in the corpus

Mixed models including environmental covariables for studying QTL by environment interaction (2004, background): “The slope parameter β expresses the sensitivity of QTL expression to the environmental covariable z. Jiang & Zeng (1997) and Lynch & Walsh (1998) explained the construction of genetic predictors for a number of different populations.”
Lack of concordance between genetic diversity estimates at the molecular and quantitative-trait levels (2000, methodology): “For quantitative traits with a non-additive genetic basis, such as many fitnessrelated traits (Falconer and Mackay 1996; Lynch and Walsh 1998), the relationship between heterozygosity and heritability becomes even less predictable, since in this case components of genetic variance can often…”
Adaptation and Fitness in Animal Populations: Evolutionary and Breeding Perspectives on Genetic Resource Management (2009, background): “This is consistent with the great majority of quantitative genetic analyses, which indicate that dominance of beneficial alleles is the major contributor to heterosis (see Falconer and Mackay 1996; Lynch and Walsh 1998).”
Biology of Hevea Rubber (2011, methodology): “Since molecular genetic markers are independent of the environment, using them as predictors can contribute to improve the accuracy of genetic value assessment according to the concept of MarkerAssisted Selection or MAS (Lynch and Walsh 1998).”
10 Years of GWAS Discovery: Biology, Function, and Translation. (2017, background): “Second, pedigree studies have reported genetic correlations between traits, implying that a number of the same variants affect two or more traits in a consistent direction.(19) Third, GWASs have shown that the same genetic variants can be significantly associated with multiple diseases and”
Selection for Protein Stability Enriches for Epistatic Interactions (2018, methodology): “Moreover, under this bivariate normal approximation, the average contribution of epistasis to the mean free energy of folding observed in our simulations can be calculated in a manner exactly analogous to Galton’s classical results on regression to the mean [36], or the difference between the select”
The genetics and evolution of fluctuating asymmetry (2005, background): “Quantitative Trait Loci In the past few years, the discovery of molecular markers such as microsatellites has made it possible to perform whole genome searches for genes (quantitative trait loci = QTLs) affecting quantitative characters (Erickson et al. 2004, Lynch & Walsh 1998).”
Sibship reconstruction from genetic data with typing errors. (2004, methodology): “…by adopting a fresh iterative procedure for updating allele frequencies with reconstructed sibships taken into account, by allowing for the use of parental information, and by using efficient algorithms for calculating the likelihood function and searching for the maximum-likelihood configuration.”
The mystery of missing heritability: Genetic interactions create phantom heritability (2012, background): “A commonly used definition for apparent heritability is h(2)pop(ACE) = 2(rMZ – rDZ), where rMZ and rDZ are the phenotypic correlations between monozygotic twins and dizygotic twins, respectively (14).”