Award details

Bioinformatics tools for the genetic dissection of complex traits

Reference	BBS/E/R/00000886
Principal Investigator / Supervisor	Professor Dirk De Koning
Co-Investigators / Co-Supervisors
Institution	The Roslin Institute
Department	The Roslin Institute Department
Funding type	Research
Value (£)	2,950
Status	Completed
Type	Institute Project
Start date	12/09/2005
End date	11/09/2008
Duration	36 months

Abstract

For many livestock species genetic loci affecting economically important traits (quantitative trait loci: QTL) have been identified over the last decadel,2.The recent completion of the draft sequence of the chicken genome3and the ongoing sequencing efforts in pigs and cattle provide a host of novel challenges and opportunities to aid the mapping of the functional loci underlying the QTL. Among the many benefits of having a genome sequence are the possibilities of developing genome-wide single nucleotide polymorphism (SNP) maps4 and a much-improved level of comparative mapping between species. Another emerging tool for geneticists is the use of gene expression data as a trait for QTL mapping (Genetical genomicsl Genetical genomics detects genome regions that affect the expression level of genes (linked or unlinked to the genome region) thereby adding an additional level of information and complexity. Potentially these sources of information can be brought together to enable the genes underlying a QTL to be identified. However, all these novel resources can only be useful to a researcher when they can be accessed in a structured and comprehensible way. The questions a researcher would like to ask about an identified QTL for a given trait would include: 1) what other QTL have been found in this genome region in other studies? 2) WhatQTL have been described for the corresponding regions in other, possibly better characterised, species. 4) What genes, with a relevance to the studied trait, are located in this region (either in the current species or in corresponding regions of other species)? 5) If there are any interesting genes in these regions, do any of them show non-synonymous SNP variation? For this purpose, advanced databases are required that not only store

Summary

unavailable

Committee	Closed Committee - Genes & Developmental Biology (GDB)
Research Topics	Animal Health, Technology and Methods Development
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

I accept the terms and conditions of use (opens in new window)

export PDF file

back to list new search