QST and FST Comparisons for Unbalanced Half-Sib Designs

This dataset supports an R package (QstFstComp) that extends statistical methods for comparing QST and FST, measures of quantitative genetic and neutral differentiation. The method specifically accommodates unbalanced datasets and half-sib designs related through mothers, addressing limitations of prior approaches. It was authored by Kimberly J. Gilbert and made available in 2020.

Use Cases

• Test for local adaptation by statistically comparing QST values against mean FST values for specific traits.
• Apply the extended resampling method to analyze genetic data from plant populations with offspring related through mothers.
• Utilize the dataset to validate the QstFstComp R package's functionality for handling unbalanced half-sib designs.

Strengths

• Methodological extension to handle unbalanced datasets, a specific limitation of prior work.
• Provides a tool for a specific genetic study design (half-sibs by dam) relevant to plant populations or certain breeding designs.
• Dataset is associated with a peer-reviewed methodological extension and a published R package.

Limitations

• The specific data structure, column names, row counts, and file formats are not provided in the input.
• The dataset's primary utility is tied to a specific, niche statistical method in quantitative genetics.
• No information on sample size or the scope of the underlying genetic data used for method development or examples.

Provenance

Source

Dryad digital repository.

Collection Method

Data generated to support and demonstrate a statistical method extension for comparing QST and FST.

Freshness

Last updated in June 2020.