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Analysis of high-density SNP data from complex populations
Reference
BBS/E/R/00000896
Principal Investigator / Supervisor
Professor Christopher Haley
Co-Investigators /
Co-Supervisors
Institution
The Roslin Institute
Department
The Roslin Institute Department
Funding type
Research
Value (£)
4,375
Status
Completed
Type
Institute Project
Start date
01/10/2006
End date
30/09/2009
Duration
36 months
Abstract
Identifying the genetic determinants of variation in complex traits remains a major challenge. The development of assays for high-density screens of single nucleotide polymorphisms (SNPs) provides the possibility of locating some of these determinants through association analysis. However the analysis of up to 500 thousand individual SNPs genotyped across a population of several thousand individuals in one or more complex pedigrees generates challenges, including hypothesis testing and sheer computational load. This project will explore these challenges and evluate alternative analytical routes for overcoming them in preparation for when high-density SNP data is available in large volumes for livestock and other species. The project will be illustrated by analysis of simulated and real data.
Summary
unavailable
Committee
Closed Committee - Genes & Developmental Biology (GDB)
Research Topics
Animal Health
Research Priority
X – Research Priority information not available
Research Initiative
X - not in an Initiative
Funding Scheme
X – not Funded via a specific Funding Scheme
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