World Library  

Add to Book Shelf
Flag as Inappropriate
Email this Book

Plos Genetics : Forward-time Simulations of Human Populations with Complex Diseases, Volume 3

By Allison, David B.

Click here to view

Book Id: WPLBN0003924534
Format Type: PDF eBook :
File Size:
Reproduction Date: 2015

Title: Plos Genetics : Forward-time Simulations of Human Populations with Complex Diseases, Volume 3  
Author: Allison, David B.
Volume: Volume 3
Language: English
Subject: Journals, Science, Genetics
Collections: Periodicals: Journal and Magazine Collection (Contemporary), PLoS Genetics
Publication Date:
Publisher: Plos


APA MLA Chicago

Allison, D. B. (n.d.). Plos Genetics : Forward-time Simulations of Human Populations with Complex Diseases, Volume 3. Retrieved from

Description : Due to the increasing power of personal computers, as well as the availability of flexible forward-time simulation programs like simuPOP, it is now possible to simulate the evolution of complex human diseases using a forward-time approach. This approach is potentially more powerful than the coalescent approach since it allows simulations of more than one disease susceptibility locus using almost arbitrary genetic and demographic models. However, the application of such simulations has been deterred by the lack of a suitable simulation framework. For example, it is not clear when and how to introduce disease mutants—especially those under purifying selection—to an evolving population, and how to control the disease allele frequencies at the last generation. In this paper, we introduce a forward-time simulation framework that allows us to generate large multi-generation populations with complex diseases caused by unlinked disease susceptibility loci, according to specified demographic and evolutionary properties. Unrelated individuals, small or large pedigrees can be drawn from the resulting population and provide samples for a wide range of study designs and ascertainment methods. We demonstrate our simulation framework using three examples that map genes associated with affection status, a quantitative trait, and the age of onset of a hypothetical cancer, respectively. Nonadditive fitness models, population structure, and gene–gene interactions are simulated. Case-control, sibpair, and large pedigree samples are drawn from the simulated populations and are examined by a variety of gene-mapping methods.


Click To View

Additional Books

  • Plos Genetics : Gata3 Acts Downstream of... (by )
  • Plos Genetics : Drosophila Functional El... (by )
  • Plos Genetics : Sepsid Even-skippedenhan... (by )
  • Plos Genetics : Foxn1 Regulates Lineage ... (by )
  • Plos Genetics : Characterization of Indu... (by )
  • Plos Genetics : Aconitase Causes Iron To... (by )
  • Plos Genetics : Dataxin-2 Mediates Expan... (by )
  • Plos Genetics : Development of a Panel o... (by )
  • Plos Genetics : Population-based Reseque... (by )
  • Plos Genetics : Inference of Relationshi... (by )
  • Plos Genetics : Characterization of Line... (by )
  • Plos Genetics : in Vivo Validation of a ... (by )
Scroll Left
Scroll Right


Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.