Second Bangalore School on Population Genetics and Evolution
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DESCRIPTION:
Just as evolution is central to our understanding of biology, population genetics theory provides the basic framework to comprehend evolutionary processes. Population genetics theory allows quantitative predictions of evolutionary processes, integrating mathematical and statistical concepts with fundamental biological principles of genetic inheritance and processes such as mutation and selection. Population genetics theory is thus critical to understanding many pressing issues in biology, such as the evolution of antibiotic resistance in pathogens, the formation of new species and the emergence of cooperative and altruistic behaviors.
This school aims to expose students and researchers from diverse backgrounds to the basics and the forefront of current research in population genetics. Students from the disciplines of biology, mathematics, medicine, physics, and statistics who are interested in evolutionary theory are all welcome to apply for participation in this program. The school will introduce and develop an understanding of population genetics and quantitative genetics, and their applications. Research seminars and poster sessions will also be held during this school.
ORGANIZERS: Deepa Agashe, Kavita Jain
Table of Contents (powered by [ Ссылка ])
0:00:00 Start
0:00:03 Population Genetics and
0:00:06 Introduction to Quantitative Genetics by
0:01:26 Lecture 1: Fisher's variance decomposition and the resemblance between
0:03:46 The variance
0:06:50 Covariances
0:09:02 Cov(x,y) 0, negative (linear) association between x &
0:10:30 Cov(x,y) = 0 DOES NOT imply no association
0:12:04 Measures of Association and variation
0:12:43 Correlation
0:18:37 Regressions
0:26:59 Basic model of Quantitative Genetics
0:35:13 The transmission of genotypes versus alleles
0:39:27 Genotypic values
0:41:39 Computing a and
0:42:36 Population means: Random mating
0:43:26 The average effect of an allele
0:46:55 Random mating
0:48:36 Dominance deviations
0:52:12 Fisher's (1918) Decomposition of
0:52:25 =Matata+ dj
0:52:33 Average Effects and Additive Genetic Values
0:52:56 Gzz
1:01:38 =UGtata+dj
1:09:10 Why all the fuss over A?
1:09:13 Genetic Variances
1:13:22 Key concepts (so far)
1:15:16 Q,01 Q,02 Q2Q2
1:15:47 Q101 0102 0202
1:16:07 Additive variance, VA, with no dominance (k = 0)
1:16:18 Complete dominance (k = 1)
1:17:28 Resemblance between relatives
1:18:14 Heritability
1:19:32 Key observations
1:19:59 Genetic Covariance between relatives
1:21:57 Resemblance between relatives and variance components
1:23:18 Parent-offspring genetic covariance
1:26:05 Half-sibs
1:27:05 Father
1:27:37 Resulting Genetic Covariance between full-sibs
1:29:02 Genetic Covariances for General Relatives
1:32:04 Full-sibs
