Literature DB >> 16168786

Genetic linkage studies.

M Dawn Teare1, Jennifer H Barrett.   

Abstract

Linkage analysis is used to map genetic loci by use of observations of related individuals. We provide an introduction to methods commonly used to map loci that predispose to disease. Linkage analysis methods can be applied to both major gene disorders (parametric linkage) and complex diseases (model-free or non-parametric linkage). Evidence for linkage is most commonly expressed as a logarithm of the odds score. We provide a framework for interpretation of these scores and discuss the role of simulation in assessment of statistical significance and estimation of power. Genetic and phenotypic heterogeneity can also affect the success of a study, and several methods exist to address such problems.

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Year:  2005        PMID: 16168786     DOI: 10.1016/S0140-6736(05)67382-5

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  51 in total

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8.  Improving disease gene prioritization using the semantic similarity of Gene Ontology terms.

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9.  A groupwise association test for rare mutations using a weighted sum statistic.

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10.  Molecular genetics of alcohol dependence and related endophenotypes.

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Journal:  Curr Genomics       Date:  2008-11       Impact factor: 2.236

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