Logo

Statistical Genetics and Evolution of Quantitative Traits

Small book cover: Statistical Genetics and Evolution of Quantitative Traits

Statistical Genetics and Evolution of Quantitative Traits
by

Publisher: arXiv
Number of pages: 23

Description:
This review provides a simplified exposition of the concept and mathematics of Quasi-Linkage Equilibrium (QLE) which is central to the statistical description of genotypes in sexual populations. We show how key results of Quantitative Genetics such as the generalized Fisher's Fundamental Theorem, along with Wright's Adaptive Landscape, emerge within QLE from the dynamics of the genotype distribution.

Home page url

Download or read it online for free here:
Download link
(840KB, PDF)

Similar books

Book cover: Mathematical Population GeneticsMathematical Population Genetics
by - Cornell University
These notes are intended to give background material in mathematical population genetics. Some standard genetical terms are used: gene, genotype, allele, (gene) locus, haploid, diploid, homozygote, heterozygote, heterozygosity, monoecious, etc.
(12010 views)
Book cover: Sequence - Evolution - Function: Computational Approaches in Comparative GenomicsSequence - Evolution - Function: Computational Approaches in Comparative Genomics
by - Springer
An introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. Perfect for introductory level courses in computational methods for comparative and functional genomics.
(19147 views)
Book cover: The New GeneticsThe New Genetics
- NIGMS
An introduction to genetics. From the table of contents: Foreword; How Genes Work; RNA and DNA Revealed: New Roles, New Rules; Life's Genetic Tree; Genes Are Us; 21st-Century Genetics; Glossary; Poster: Living Laboratories.
(21688 views)
Book cover: Gene Drives on the HorizonGene Drives on the Horizon
- National Academies Press
'Gene Drives on the Horizon' outlines the state of knowledge relative to the science, ethics, public engagement, and risk assessment as they pertain to research directions of gene drive systems and governance of the research process.
(8396 views)