Jinko Graham

This paper develops methods to prioritize rare variants in family-based sequencing studies with disease subtypes by comparing global and local approaches for variant prioritization.

The paper addresses spurious gene-environment interaction in case-parent trio data by adjusting for genetic principal components to account for exposure-related genetic structure across multiple population strata.

This paper explores sequence-based linkage analysis for fine-mapping disease traits, showing improved localization compared to genotypic-association methods for rare variants.

The paper presents simulated exome-sequencing data for 150 families with lymphoid cancer to study genomic patterns and disease inheritance.

The paper introduces an R package for reconstructing perfect phylogenies from binary sequences and demonstrates its functionality for analyzing ancestral structure.

SimRVSequences simulates genetic sequence data for pedigrees to evaluate methods for identifying causal rare variants in family-based studies.

The paper introduces SimRVPedigree, an R package for simulating pedigrees ascertained for multiple disease-affected relatives to study family-based study design.

The paper compares methods for localizing causal variants in diploid populations using coalescent simulations, finding that genealogy-based approaches perform better than naive methods.

The paper investigates the association between SNPs in Alzgene linkage regions and brain structural changes using ADNI data, identifying prioritized SNPs linked to imaging phenotypes.