Titlebook: Quantitative Genetics; Shizhong Xu Textbook 2022 Springer Nature Switzerland AG 2022 Genetic correlation.Heritability.Linear models.Quanti

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Genome-Wide Association Studies,information, (3) mixed linear model (MLM) using marker inferred kinship matrix, (4) efficient mixed model association (EMMA) studies, and (5) decontaminated efficient mixed model association (DEMMA) studies. Population structure is discussed in detail. Manhattan plot and QQ-plot are presented using

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Major Gene Detection and Segregation Analysis,o involves detection of two loci with epistatic effects. The chapter ends with segregation analyses for qualitative traits and quantitative traits. The difference between major gene detection and segregation analysis is that the genotypes are measurable in the former while they are not observable in the latter.

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Introduction to Quantitative Genetics, multiple gene-controlled quantitative trait are described. The introduction addresses who are interested in quantitative traits, why are quantitative traits important, what do we need to know about quantitative traits. The chapter ends with a brief description of historical development of quantitative genetics.

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Estimation of Heritability,(1) regression of offspring on parent phenotypic values, (2) analysis of variances for sibling data, and (3) mixed model analysis from pedigree data. The REG, GLM, VARCOMP, and MIXED procedures in SAS are used to estimate variance components. Finally, the standard error of an estimated heritability is presented using the approximated delta method.