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Related Experiment Video

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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Model-free tests for genetic linkage.

Christopher I Amos¹, Audrey Schnell, Wei V Chen

¹University of Texas, M.D. Anderson Cancer Center, Houston, Texas, USA.

Current Protocols in Human Genetics

|October 18, 2012

Summary

This summary is machine-generated.

This unit explores statistical methods for genetic linkage analysis that bypass the need for complex genetic models. It details updated sib-pair and relative-pair analysis techniques using advanced software like SIBPAL, GENEHUNTER, and Merlin.

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Area of Science:

Genetics
Biostatistics
Computational Biology

Background:

Standard linkage analysis often relies on detailed genetic models, which can be restrictive.
Non-parametric methods offer an alternative for genetic linkage studies.

Purpose of the Study:

To present statistical methods for genetic linkage analysis that do not require a detailed genetic model.
To update coverage with the latest advancements in sib-pair and relative-pair analysis.

Main Methods:

Focuses on model-free statistical methods for linkage analysis.
Incorporates updated techniques for sib-pair analysis.
Details the use of software applications such as SIBPAL, GENEHUNTER, GENEHUNTER PLUS, and Merlin for relative-pair analysis.

Main Results:

Provides a comprehensive overview of non-parametric linkage analysis approaches.
Demonstrates practical application through updated software usage.
Facilitates genetic studies by offering flexible analytical tools.

Conclusions:

Model-free statistical methods are valuable for genetic linkage analysis.
Updated software enhances the efficiency and accuracy of sib-pair and relative-pair studies.
These methods broaden the scope of genetic research by reducing reliance on predefined genetic models.