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A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity

A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity

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Pedigree Selection and Information Content.

Badri N Vardarajan^1,2,3, Gary W Beecham⁴, Jonathan L Haines⁵

¹The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, The New York Presbyterian Hospital, New York.

Current Protocols in Human Genetics

|July 25, 2018

Summary

This summary is machine-generated.

Choosing the right family structure is key for genetic studies. This research evaluates sampling strategies to maximize the power of genetic discovery in various family types.

Keywords:

Family-based genetic studies genome-wide association linkage next-generation sequencing

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Area of Science:

Genetics
Biostatistics
Bioinformatics

Background:

Genetic studies rely on appropriate family selection for robust findings.
Different family structures (large, sibships, nuclear) present unique sampling challenges.
Sub-sampling within pedigrees is crucial for large-scale sequencing projects.

Purpose of the Study:

To evaluate strategies for selecting families and individuals for genetic studies.
To assess methods for maximizing statistical power in genetic discovery.
To guide the choice of study designs for linkage and association analyses.

Main Methods:

Evaluation of various family sampling strategies (large families, sibships, nuclear families).
Discussion of sub-sampling techniques within pedigrees for sequencing studies.
Assessment of study designs for linkage and association analyses.

Main Results:

The choice of family structure significantly impacts statistical analysis and discovery power.
Specific sampling strategies can enhance the ability to identify predisposing genetic loci.
Sub-sampling is effective in large sequencing studies with genome-wide SNP data.

Conclusions:

Optimal family selection is critical for successful genetic research.
The study provides a framework for choosing effective sampling designs.
Understanding these strategies improves the power to detect genes influencing phenotypes.