PPT-Estimation of additive genetic variance and covariance using individual-level data

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Loic Yengo PhD Institute for Molecular Bioscience The University of Queensland lyengoimbuqeduau 1 What quantitative genetics tells us about heritability Part 1 2

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Estimation of additive genetic variance and covariance using individual-level data: Transcript


Loic Yengo PhD Institute for Molecular Bioscience The University of Queensland lyengoimbuqeduau 1 What quantitative genetics tells us about heritability Part 1 2 Outline Definition of heritability and genetic correlation. Lecture 11. Prof. Thomas Herring. Room 54-820A; 253-5941. tah@mit.edu. http://geoweb.mit.edu/~tah/12.540. . 03/13/2013. 12.540 Lec 11. 2. Statistical approach to estimation. Summary. Look at estimation from statistical point of view. Mohammadreza Mohebbi. Department of epidemiology and preventive medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne . . Stevan. J. Arnold. Department of Integrative Biology. Oregon State University. Thesis. Most traits are affected by . many genes. We can model the inheritance of such traits with . a statistical approach . 1) Basics. 2) Means and Values (Ch 7): summary. 3. ) Variance (Ch 8): summary. 4) Resemblance between relatives. 5) Homework (8.3). Values & means: summary. (Falconer & Mackay: chapter 7). Sanja Franic. (Slides borrowed from various presentations). Image representations. Templates. Intensity, gradients, etc.. Histograms. Color, texture, SIFT descriptors, etc.. Space Shuttle Cargo Bay. Image Representations: Histograms. Mohammadreza Mohebbi. Department of epidemiology and preventive medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne . . Stevan. J. Arnold. Department of Integrative Biology. Oregon State University. Thesis. Most traits are affected by . many genes. We can model the inheritance of such traits with . a statistical approach . October 21, 2014. Elizabeth Prom-Wormley & . Hermine. . Maes. ecpromwormle@vcu.edu. 804-828-8154. The Problem(s). BMI may not be an appropriate measure for use in studying the genetics of obesity. 1. . To develop methods for determining effects of acceleration noise and orbit selection on geopotential estimation errors for Low-Low Satellite-to-Satellite Tracking mission.. 2. Compare the statistical covariance of geopotential estimates to actual estimation error, so that the statistical error can be used in mission design, which is far less computationally intensive compared to a full non-linear estimation process.. Lucia . Colodro. Conde, Elizabeth Prom-Wormley, and Hermine . Maes. . with thanks to . Meike. Bartels and . Dorret. . Boomsma. In . \\workshop\Faculty\lucia\Wednesday_biv_practical. , Open twoACE_vc_nl_biv_2gr.R. {in the classical twin design}. Slide acknowledgements (fonts all over the place and inconsistent color coding): . Manuel . Ferreira. , . Pak Sham. , . Shaun Purcell. , . Sarah Medland. , . and . Sophie . From . prices. to . returns. . Mean. => =AVERAGE(X). Variance. => =VARP(X). Standard . deviation. => =STDEVP(X). Covariance. and . correlation. Degree. to . which. the . returns. on the . OUTLINE. Genotypic variance in terms of breeding values. Additive variance. Dominance deviation. Does additive variance implies no dominance gene effect?. Variances and . Covariances. Covariance is a measure of the joint variation between two or more variables. Mohammadreza Mohebbi. Department of epidemiology and preventive medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne . .

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