Fine-map** aims to identify causal genetic variants for phenotypes. Bayesian fine-
map** algorithms (for example, SuSiE, FINEMAP, ABF and COJO-ABF) are widely used …

Motivation Transcriptome-wide association study (TWAS) aims to identify trait-associated
genes regulated by significant variants to explore the underlying biological mechanisms at a …

We consider the problem of selecting a small subset of representative variables from a large
dataset. In the computer science literature, this dimensionality reduction problem is typically …

Conditional testing via the knockoff framework allows one to identify--among large number
of possible explanatory variables--those that carry unique information about an outcome of …

Both trio and population designs are popular study designs for identifying risk genetic
variants in genome-wide association studies (GWASs). The trio design, as a family-based …

Local genetic correlation analysis is an important tool for identifying genetic loci with shared
biology across traits. Recently, Border et al. have shown that the results of these analyses …

Motivation Conditional testing via the knockoff framework allows one to identify—among a
large number of possible explanatory variables—those that carry unique information about …

Identifying variants that carry substantial information on the trait of interest remains a core
topic in genetic studies. In analyzing the EADB-UKBB dataset to identify genetic variants …

Variable selection plays a crucial role in enhancing modeling effectiveness across diverse
fields, addressing the challenges posed by high-dimensional datasets of correlated …

Identifying which variables do influence a response while controlling false positives
pervades statistics and data science. In this paper, we consider a scenario in which we only …