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Related Experiment Videos

Linkage and association

R C Elston1

  • 1Department of Epidemiology and Biostatistics, Rammelkamp Center for Education and Research, Case Western Reserve University, MetroHealth Medical Center, Cleveland, Ohio 44109-1998, USA. rce@darwin.cwru.edu

Genetic Epidemiology
|November 12, 1998
PubMed
Summary
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Model-based and model-free methods are used for linkage and association analyses. Understanding these genetic analysis techniques is crucial for robust disease research and accurate genetic association studies.

Area of Science:

  • Genetics
  • Biostatistics
  • Genomics

Background:

  • Linkage and association analyses are fundamental in genetic research.
  • Both methods can be model-based or model-free, each with distinct applications.
  • Understanding the nuances of these analyses is key to interpreting genetic associations.

Purpose of the Study:

  • To differentiate between model-based and model-free approaches in genetic analysis.
  • To clarify the relationship between linkage and association, and the potential causes of allelic association.
  • To emphasize the importance of appropriate model selection for robust genetic studies.

Main Methods:

  • Exploratory analysis using model-based methods.
  • Detailed multivariate genometric analysis using model-free methods.

Related Experiment Videos

  • Utilizing non-transmitted parental alleles as controls with McNemar-type tests.

    • Main Results:

    • Linkage implies association, but it may be limited to within families.
    • Allelic association can arise from various factors including pleiotropy, linkage disequilibrium, meiotic drive, selection, or population stratification.
    • A McNemar-type test with non-transmitted parental alleles does not detect association without linkage.

    Conclusions:

    • Model-free analyses are suitable for detailed multivariate genometric studies.
    • Model-based analyses require models that reflect the disease's complexity for power and robustness.
    • Accurate genetic association studies depend on appropriate methodological choices.