Hoang T. Nguyen

Prioritizing Genes and Rare Protein-Coding Variants in Acute Myeloid Leukemia via Whole Genome Sequencing Data

The paper identifies rare and common genetic variants associated with acute myeloid leukemia using whole-genome sequencing data from the All of Us Research Program.

Ebola virus exploits host lncRNA LINC01740 to enhance ATF3 and suppress antiviral immune responses

This study identifies LINC01740 as a host lncRNA that EBOV uses to enhance ATF3 and suppress antiviral immune responses in macrophages.

Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling

This paper identifies 58 genome-wide significant loci for major anxiety disorders using a large meta-analysis and highlights GABAergic signaling as a potential mechanism.

MIRAGE: a Bayesian rare variant association analysis method incorporating functional information of variants

MIRAGE improves rare variant association analysis by incorporating variant functional information, outperforming existing methods in simulations and autism exome-sequencing data.

Rare schizophrenia risk variant burden is conserved in diverse human populations

The paper investigates the conservation of rare schizophrenia risk variants across diverse populations and finds consistent burden in constrained genes.

Efficient inhibition of HIV using CRISPR/Cas13d nuclease system

This study shows CRISPR/Cas13d can inhibit HIV-1 replication in cell lines and primary T-cells, including latent infections, by targeting multiple sites in the HIV-1 transcript.

Analysis of Genetically Regulated Gene Expression identifies a trauma type specific PTSD gene, SNRNP35

The paper identifies SNRNP35 as a trauma type-specific PTSD gene through analysis of genetically regulated gene expression in PTSD cases and controls.

Integrative analysis of rare variants and pathway information shows convergent results between immune pathways, drug targets and epilepsy genes

The paper introduces a Bayesian framework to prioritize risk genes for complex diseases by integrating gene-set information with variant counts, identifying novel epilepsy risk genes and linking them to immune pathways and drug targets.

mTADA: a framework for analyzing de novo mutations in multiple traits

mTADA jointly analyzes de novo mutation data from multiple neuropsychiatric disorders to identify shared and specific risk genes.

Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders

The paper uses Bayesian modeling to analyze rare exonic variants in schizophrenia and neurodevelopmental disorders, identifying 1,551 risk genes for schizophrenia and 98 new risk genes for developmental disorders.

Gene expression imputation across multiple brain regions reveals schizophrenia risk throughout development.

The paper uses transcriptomic imputation to identify schizophrenia risk genes across multiple brain regions, finding 71 associated genes and 36 enriched pathways.

Transcriptomic Imputation of Bipolar Disorder and Bipolar subtypes reveals 29 novel associated genes

This study uses transcriptomic imputation to identify 29 novel genes associated with bipolar disorder and its subtypes, revealing biological pathways related to oxidative stress and circadian rhythms.