Format

Send to

Choose Destination
Philos Trans R Soc Lond B Biol Sci. 2005 Jul 29;360(1459):1435-42.

Regression-based quantitative trait loci mapping: robust, efficient and effective.

Author information

1
School of Biological Sciences, Institute of Evolutionary Biology, University of Edinburgh, West Mains Road, Edinburgh EH9 3JT, UK. s.knott@ed.ac.uk

Abstract

Regression has always been an important tool for quantitative geneticists. The use of maximum likelihood (ML) has been advocated for the detection of quantitative trait loci (QTL) through linkage with molecular markers, and this approach can be very effective. However, linear regression models have also been proposed which perform similarly to ML, while retaining the many beneficial features of regression and, hence, can be more tractable and versatile than ML in some circumstances. Here, the use of linear regression to detect QTL in structured outbred populations is reviewed and its perceived shortfalls are revisited. It is argued that the approach is valuable now and will remain so in the future.

PMID:
16048786
PMCID:
PMC1569507
DOI:
10.1098/rstb.2005.1671
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

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