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Tzu-Hung Hsiao

Publications and source records attributed to Tzu-Hung Hsiao.

4 recordsLinked to original sources
PubMed2026

Association of the PROC rs146922325 variant with venous thrombosis in a Taiwanese population.

BACKGROUND: Hereditary protein C deficiency, caused by pathogenic variants in the PROC gene, is a known risk factor for venous thrombosis. However, data on PROC variants in Asian populations are limited. This study evaluated the clinical relevance of rs146922325 and its association with thrombotic outcomes in Taiwanese patients. METHODS: Using genotyping data from a single-nucleotide polymorphism array as part of the Taiwan Precision Medicine Initiative, we conducted a retrospective case-control study that included 805 carriers of the PROC rs146922325 variant and 8,050 age- and sex-matched non-carriers. The baseline characteristics, coagulation profiles, and thrombotic outcomes were systematically compared. Univariable and multivariable logistic regression analyses were performed to assess the association between rs146922325 and venous thrombosis. Sensitivity analyses were conducted by restricting the cohort to warfarin-na&#xef;ve participants and incident venous thrombosis events occurring after genotyping. RESULTS: Carriers of the rs146922325 T allele exhibited significantly lower protein C levels than non-carriers (71.28% vs. 114.58%, p&#x2009;<&#x2009;0.001) and a higher prevalence of venous thrombosis (4.10% vs. 2.48%; p&#x2009;=&#x2009;0.009). After multivariable adjustment, rs146922325 carrier status remained independently associated with an increased risk of venous thrombosis (adjusted odds ratio [aOR], 1.61; p&#x2009;=&#x2009;0.015). Allelic analysis further indicated that the T allele was associated with elevated thrombotic risk (aOR, 1.74; p&#x2009;=&#x2009;0.004). No clear dose-response pattern was observed because of the limited number of homozygous TT individuals. Sex-stratified analyses suggested a similar association across sexes; however, the sex&#x2009;&#xd7;&#x2009;genotype interaction was not statistically significant. CONCLUSION: The PROC rs146922325 variant was associated with an increased risk of venous thrombosis in the Taiwanese population. These findings expand the current knowledge of PROC-related thrombophilia in East Asians and support the potential value of genetic risk stratification in thrombosis research.

PROC rs146922325↗
PubMed2026

shinyDeepGxP: a user-friendly R shiny app for predicting surface protein abundance from scRNA-seq expression using deep learning in blood cells.

MOTIVATION: Understanding accurate immune cell heterogeneity and function in single-cell datasets requires access to protein-level information, which is often unavailable due to experimental limitations. RESULTS: We present shinyDeepGxP, an interactive web application featuring our deep learning model, DeepGxP, for predicting surface protein abundance from single-cell RNA-sequencing (scRNA-seq) data. This platform makes DeepGxP accessible to researchers without programming skills. Users can upload scRNA-seq count matrices and use "Predict Protein" to predict the abundance of 224 biologically relevant surface proteins. shinyDeepGxP provides visualizations to help identify distinct cell populations based on predicted protein profiles. Moreover, users can choose "Explore Model" to reveal key RNA predictors and their associated biological pathways for each protein. Overall, shinyDeepGxP is a user-friendly, freely available web tool that provides protein-level detail for RNA-only single-cell datasets, enabling multimodal discovery without additional experiments. AVAILABILITY AND IMPLEMENTATION: shinyDeepGxP can be launched on https://shiny.crc.pitt.edu/deepgxp/.

Journal Article↗
PubMed2025

Host Genetic Factors and Clinical Comorbidities Associated With Tuberculosis Risk.

HLA influence the immune response, shaping genetic susceptibility or resistance to tuberculosis (TB). This study aimed to investigate the associations of host genetics and comorbidities with TB infection in Taiwanese populations. This retrospective case-control study utilised data from the Taiwan Precision Medicine Initiative. TB cases and non-TB controls were compared using genome-wide association studies (GWAS), HLA allele typing, and genotype data. Multivariate logistic regression identified independent predictors of TB and interactions between risk factors. A total of 390 TB cases and 3,909 controls were analysed. Risk factors for TB included bronchiectasis (OR&#x2009;=&#x2009;2.76; 95% CI 1.54-4.44; p&#x2009;<&#x2009;0.001), diabetes mellitus (OR&#x2009;=&#x2009;1.30; 95% CI 1.00-1.68; p&#x2009;=&#x2009;0.050), malignancy (OR&#x2009;=&#x2009;1.46; 95% CI 1.15-1.85; p&#x2009;=&#x2009;0.002), smoking (OR&#x2009;=&#x2009;1.42; 95% CI 1.08-1.88; p&#x2009;=&#x2009;0.012), and steroid use (OR&#x2009;=&#x2009;1.66; 95% CI 1.29-2.13; p&#x2009;<&#x2009;0.001). HLA-DRB1*16:02 was associated with a higher frequency in the TB group (OR&#x2009;=&#x2009;1.47; 95% CI 1.04-2.09; p&#x2009;=&#x2009;0.030). Interaction analysis showed HLA-DRB1*16:02 increased TB risk in non-smokers (OR&#x2009;=&#x2009;1.58; 95% CI 1.02-2.46; p&#x2009;=&#x2009;0.042), but not in smokers. HLA-DRB1*16:02 was associated with a higher risk for TB. While carriers of HLA-DRB1*16:02 did not exhibit an increased risk of TB among smokers, we demonstrated a heightened risk among non-smokers.

Humans↗