Journal article
Finding genetic markers for complex phenotypic traits in parasites
International Journal for Parasitology, Vol.26(1), pp.7-17
1996
Abstract
The identification, mapping and eventual cloning of genes which determine or influence important epidemiological traits in parasites can have great benefits for the control of parasitic disease. In this review, strategies are outlined for identifying genetic markers for complex, quantitative traits. A genetic marker is a variable DNA sequence which co-occurs with a variable quantitative trait. Candidate markers are chosen because they are thought to directly influence the trait, whereas random markers are expected to be linked to another DNA sequence which influences the trait. Association studies compare the value of a quantitative trait between different marker genotype classes in a population, without regard to family structure. Linkage studies compare the value of a quantitative trait between marker genotype classes within families or within a population (usually derived from a cross between inbred lines) which is segregating for both marker and quantitative trait loci. The most commonly used analytical methods for determining the significance of association or linkage between marker and quantitative trait loci, and for estimating parameters such as recombination rate and quantitative gene action, are least-squares and maximum likelihood. Both methods may be used to test either single markers or the interval between flanking markers, and both suffer from the need to minimize type I and type II error rates with multiple tests.
Details
- Title
- Finding genetic markers for complex phenotypic traits in parasites
- Authors/Creators
- A. Lymbery (Author/Creator)
- Publication Details
- International Journal for Parasitology, Vol.26(1), pp.7-17
- Publisher
- Elsevier BV
- Identifiers
- 991005542945507891
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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Source: InCites
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- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.4 Crop Science
- 3.4.96 QTL
- Web Of Science research areas
- Parasitology
- ESI research areas
- Microbiology