Tatsuhiko Naito

Peripheral Immune Alterations and T Cell Clonal Dynamics Across the Parkinson's Disease Spectrum

This study uses single-cell RNA sequencing and TCR profiling to analyze immune changes in Parkinson's disease across different stages and identifies sex-dependent immune alterations and TCR diversity.

SingleBrain: A Meta-Analysis of Single-Nucleus eQTLs Linking Genetic Risk to Brain Disorders

SingleBrain integrates snRNA-seq and genotype data to map cis-eQTLs across brain cell types, identifying novel disease-associated genes and causal variants.

Mosaic chromosomal alterations in blood are associated with an increased risk of Alzheimer's disease

The paper finds that mosaic chromosomal alterations in blood are associated with increased Alzheimer's disease risk, with variations by ancestry, mCA subtype, APOE ε4 status, and chromosomal location.

Integration of Deep Learning Annotations with Functional Genomics Improves Identification of Causal Alzheimers Disease Variants

This paper improves identification of causal Alzheimer's disease variants by integrating deep learning annotations with functional genomics, resulting in better fine-mapping and polygenic risk prediction across diverse populations.

Long-read RNA-seq atlas of novel microglia isoforms elucidates disease-associated genetic regulation of splicing

The paper presents a long-read RNA-seq atlas of microglia isoforms, identifying novel isoforms and their associations with genetic risk loci in Alzheimer's and Parkinson's disease.

Leveraging functional annotations to map rare variants associated with Alzheimer's disease with gruyere

This study introduces gruyere, a Bayesian model that improves rare variant association analysis by integrating functional annotations, identifying 15 new AD-associated genetic associations.

Heterogeneous effects of antidepressants on suicidal ideation: role of polygenic scores

The paper investigates how antidepressants affect suicidal ideation in patients with major depressive disorder, finding that genetic predisposition to psychiatric disorders influences this risk differently across antidepressant types.

Japan COVID-19 Task Force: a nation-wide consortium to elucidate host genetics of COVID-19 pandemic in Japan

The paper reports a genome-wide association study of COVID-19 in a Japanese population, identifying a novel risk variant associated with severe disease in younger patients.

A multi-task convolutional deep learning method for HLA allelic imputation and its application to trans-ethnic MHC fine-mapping of type 1 diabetes

DEEP*HLA improves HLA allelic imputation for low-frequency alleles, enabling trans-ethnic MHC fine-mapping of type 1 diabetes with high accuracy.