Article

Beyond guilty by association at scale: searching for causal variants on the basis of genome-wide summary statistics

2024-03-03

Abstract excerpt

Understanding the causal genetic architecture of complex phenotypes will fuel future research into disease mechanisms and potential therapies. Here, we illustrate the power of a novel framework: it detects, starting from summary statistics, and across the entire genome, sets of variants that carry non-redundant information on the phenotypes and are therefore more likely to be causal in a biological sense. The appr...

Topics

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

Identifiers and source

Literature Corpus work: ed9b1f4d-fe93-5e0b-8c3b-546078b4f2d6
DOI: 10.1101/2024.02.28.582621

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Beyond guilty by association at scale: searching for causal variants on the basis of genome-wide summary statisticsDOI 10.1101/2024.02.28.582621Read

CIT-Lasso: a scalable approach beyond guilty by association for identifying causal variants from genome-wide summary statistics.Semantic proximity Read

Comprehensive adjudication identifies 111 high-confidence loci for Alzheimer's disease and related dementiasSemantic proximity Read

Summary statistics knockoff inference empowers identification of putative causal variants in genome-wide association studiesSemantic proximity Read

Application of the STAAR framework in detecting rare variant associations with Alzheimer disease and related dementias: Insights and implications.Semantic proximity Read

From variants to mechanisms: Neurogenomics in the post-GWAS era.Semantic proximity Read

Scalable Bayesian functional GWAS method accounting for multivariate quantitative functional annotations with applications to studying Alzheimer’s diseaseSemantic proximity Read

A Powerful Approach to Estimating Annotation-Stratified Genetic Covariance via GWAS Summary Statistics.Semantic proximity Read

An empirical Bayes framework for burden and dispersion association tests helps prioritize rare variants associated with Alzheimer’s diseaseSemantic proximity Read

A powerful approach to estimating annotation-stratified genetic covariance using GWAS summary statisticsSemantic proximity Read

Beyond association: successes and challenges in linking non-coding genetic variation to functional consequences that modulate Alzheimer's disease risk.Semantic proximity Read

GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies.Semantic proximity Read

Dissecting the genetics of complex traits using summary association statisticsSemantic proximity Read