Format

Send to

Choose Destination
Genet Sel Evol. 2004 May-Jun;36(3):261-79.

Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data.

Author information

1
Centre for Integrative Genetics (Cigene), Institute of Animal Science, Agricultural University of Norway, Box 5025, As, Norway. theo.meuwissen@iha.nlh.no

Abstract

A multi-locus QTL mapping method is presented, which combines linkage and linkage disequilibrium (LD) information and uses multitrait data. The method assumed a putative QTL at the midpoint of each marker bracket. Whether the putative QTL had an effect or not was sampled using Markov chain Monte Carlo (MCMC) methods. The method was tested in dairy cattle data on chromosome 14 where the DGAT1 gene was known to be segregating. The DGAT1 gene was mapped to a region of 0.04 cM, and the effects of the gene were accurately estimated. The fitting of multiple QTL gave a much sharper indication of the QTL position than a single QTL model using multitrait data, probably because the multi-locus QTL mapping reduced the carry over effect of the large DGAT1 gene to adjacent putative QTL positions. This suggests that the method could detect secondary QTL that would, in single point analyses, remain hidden under the broad peak of the dominant QTL. However, no indications for a second QTL affecting dairy traits were found on chromosome 14.

PMID:
15107266
PMCID:
PMC2697201
DOI:
10.1186/1297-9686-36-3-261
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for BioMed Central Icon for PubMed Central
Loading ...
Support Center