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Model-based linkage analysis of a binary trait
1Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. rcantor@mednet.ucla.edu
Methods in Molecular Biology (Clifton, N.J.)
|February 7, 2012
Summary
This study details linkage analysis, a statistical genetics method for locating disease genes using pedigrees and genetic markers. It provides a guide to using the LODLINK program within the Statistical Analysis for Genetic Epidemiology (S.A.G.E.) package for binary traits.
Area of Science:
- Statistical Genetics
- Human Genetics
- Computational Biology
Background:
- Linkage analysis identifies disease and trait genes on specific chromosome regions.
- This method requires pedigrees with varying traits and genotyped genetic markers.
- It tests for cosegregation of marker alleles with diseases or traits within families.
Purpose of the Study:
- To describe the methodology for conducting model-based linkage analysis for binary traits.
- To provide a detailed guide for using the LODLINK program from the Statistical Analysis for Genetic Epidemiology (S.A.G.E.) package.
- To explain the creation and interpretation of input and output files for linkage analysis.
Main Methods:
- Utilizing pedigrees with genotyped markers to test for allele cosegregation.
- Applying the LODLINK program for model-based linkage analysis of binary traits.
- Describing the preparation of four essential input files for the S.A.G.E. LODLINK program.
Main Results:
- Detailed instructions for running the LODLINK program are provided.
- Guidance on accessing and interpreting LODLINK output files is included.
- Discussion of advanced analyses, including multipoint linkage analysis with the MLOD program.
Conclusions:
- The study offers a comprehensive guide to performing linkage analysis for binary traits using specific software.
- It equips researchers with the necessary steps to conduct genetic linkage studies.
- The information facilitates the localization of genes contributing to diseases and traits.
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