Quantitative trait loci: a meta-analysis.

Genetics ·Vol. 155 ·No. 1 ·2000-05-00 ·Pages 463-73

Goffinet B, Gerber S

Abstract

This article presents a method to combine QTL results from different independent analyses. This method provides a modified Akaike criterion that can be used to decide how many QTL are actually represented by the QTL detected in different experiments. This criterion is computed to choose between models with one, two, three, etc., QTL. Simulations are carried out to investigate the quality of the model obtained with this method in various situations. It appears that the method allows the length of the confidence interval of QTL location to be consistently reduced when there are only very few "actual" QTL locations. An application of the method is given using data from the maize database available online at http://www. agron.missouri.edu/.

MeSH Terms

Databases, Factual Meta-Analysis as Topic Quantitative Trait, Heritable Zea mays/genetics

Authors & Affiliations

2 authors, click to expand affiliations / ORCID

Goffinet B

INRA, Laboratoire de Biométrie et d'Intelligence Artificielle, F-31326 Castanet-Tolosan Cedex, France. goffinet@toulouse.inra.fr

Gerber S

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14 references, click to expand

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Article Info

Journal

Genetics

Abbr.

Genetics

ISSN

0016-6731

DOI

10.1093/genetics/155.1.463

goffinet@toulouse.inra.fr

Published

2000-05-00

Pages

463-73

Language

English

Region

United States

NLM ID

0374636

PMCID

PMC1461053

Subset

External Links

PubMed source DOI: 10.1093/genetics/155.1.463 PMC Full Text View journal details

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