Wenbin Lu

Hi-C informed kernel association test: integrating 3-dimensional genome structure into variant-set association for whole-genome sequencing data

The paper introduces a Hi-C informed kernel association test to integrate 3D genome structure into variant-set association analysis for WGS data, showing improved detection of rare-variant sets.

CNV-Profile Regression: A New Approach for Copy Number Variant Association Analysis in Whole Genome Sequencing Data

This paper introduces a new framework for CNV association analysis in whole genome sequencing data, identifying additional CNVs linked to Alzheimer's Disease.

Association Tests Using Copy Number Profile Curves (CONCUR) Enhances Power in Rare Copy Number Variant Analysis

CONCUR improves power in rare CNV analysis by comparing copy number profiles without requiring locus definitions.

Identifying individual risk rare variants using protein structure-guided local tests (POINT)

The paper introduces POINT, a method that uses protein structure to identify individual rare variants associated with complex diseases by performing localized association tests.