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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.)
|October 6, 2017
Summary
This study details linkage analysis, a genetic method for locating disease genes using pedigrees and genetic markers. It provides a guide to using the LODLINK program within the S.A.G.E. software package for binary trait analysis.
Area of Science:
- Statistical Genetics
- Human Genetics
- Genetic Epidemiology
Background:
- Linkage analysis is a statistical genetics method used to map genes associated with diseases or traits to specific chromosomal regions.
- This method relies on analyzing pedigrees where individuals exhibit variation in the trait of interest and have been genotyped with known genetic markers.
- The core principle involves testing for the cosegregation of marker alleles with the disease or trait within families.
Purpose of the Study:
- To describe the background and methodology for conducting a model-based linkage analysis for binary traits.
- To provide a detailed tutorial on using the LODLINK program from the Statistical Analysis for Genetic Epidemiology (S.A.G.E.) software package.
- To guide users through the creation of input files, interpretation of output, and discussion of advanced analyses like multipoint linkage analysis.
Main Methods:
- Utilizes pedigrees with genotyped individuals and a defined genetic model for a binary trait.
- Employs statistical genetics software, specifically detailing the LODLINK program within the S.A.G.E. package.
- Involves preparing four specific input files for the LODLINK program and interpreting its output.
Main Results:
- Provides comprehensive instructions for executing linkage analysis using the LODLINK program.
- Explains the process of creating necessary input data files for the analysis.
- Offers guidance on interpreting the results generated by the LODLINK program and discusses advanced multipoint linkage analysis with the MLOD program.
Conclusions:
- The study successfully outlines a practical approach to performing model-based linkage analysis for binary traits.
- It equips researchers with the necessary steps to utilize the LODLINK program for gene localization.
- The guide facilitates more complex genetic analyses, enhancing the utility of linkage studies in understanding disease genetics.
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