gwas-credible-sets

gwas-credible-sets

A package for calculating Bayes factors and credible sets from genome-wide association study (GWAS) results.


Synopsis

This package provides functions for calculating Bayes factors and credible sets using p-values from GWAS results.
These functions can be used separately, or combined with [locuszoom.js] for interactive credible set visualization.

LocusZoom implements a simple procedure
based on this package. See the usage instructions, below, for an example. In the future,
additional methods for identifying and annotating credible sets may be provided.

Usage

$3

This package may be directly incorporated into other javascript projects as a module, or by including
dist/gwas-credible-sets.min.js directly into your page (as a standalone file, or via a CDN option such as unpkg).

gwas-credible-sets also supports several packaging environments and may be used in both client and server side
applications, including Node.js, ES6 modules, and Webpack. It may be installed from NPM:

npm install --save gwas-credible-sets

For information about performance impacts of client-side computation,
see timing and performance estimates.

$3

The instructions below assume that the module is being sourced directly into a page:

The example below assumes that you are given an array of p-values, each representing a different data point. It
returns a set of booleans saying whether each data point is a member of the 95% credible set.

``javascript
/// Calculate Bayes factors and process into a form that can be used for the credible set
var scores = gwasCredibleSets.scoring.bayesFactors(nlogpvals);
var posteriorProbabilities = gwasCredibleSets.scoring.normalizeProbabilities(scores);
// Identify the credible set and apply filters for visualization
var credibleSet = gwasCredibleSets.marking.findCredibleSet(posteriorProbabilities, 0.95);
var credibleSetBoolean = gwasCredibleSets.marking.markBoolean(credibleSet);
`

The marking module contains several helper functions to control how the credible set is returned. Helper methods are
provided to process the set members (posterior probabilities) in ways that support visualization needs.
See full documentation for details.

Development

$3

This package has been developed and tested using Node.js 8 LTS (Carbon).

If you would like to make changes to the core functionality within this module for development, install package
requirements as follows:

npm install

Some portions of the documentation (such as methods) require pandoc and a working LaTeX installation on your
system; you must install these separately.

$3

The following commands are particularly useful during development
- npm test: run unit tests and exit
- npm run watch: auto-run tests whenever code changes
- npm run build: build dist/` files and update documentation

[locuszoom.js]: https://github.com/statgen/locuszoom