Back to search

Article

Iterative Hard Thresholding in GWAS: Generalized Linear Models, Prior Weights, and Double Sparsity

2019-07-11

Abstract excerpt

1 <h4>Background</h4> Consecutive testing of single nucleotide polymorphisms (SNPs) is usually employed to identify genetic variants associated with complex traits. Ideally one should model all covariates in unison, but most existing analysis methods for genome-wide association studies (GWAS) perform only univariate regression. <h4>Results</h4> We extend and efficiently implement iterative hard thresholding (IHT...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
571e11f7-6836-577d-a909-921e5ea5efd7
DOI
10.1101/697755
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Iterative Hard Thresholding in GWAS: Generalized Linear Models, Prior Weights, and Double SparsityDOI 10.1101/697755
Select a neighboring publication to make it the new centre.