Yi‐Hsiang Hsu

This study investigates the role of cped1 in zebrafish bone and lean mass, finding no significant effects on these traits despite loss of function.

This paper links CAD GWAS variants to causal genes in SMCs using single-cell chromatin accessibility and Hi-C data, creating a scV2E2G map for disease mechanism discovery.

The paper identifies causal genes in heart disease GWAS loci by integrating Hi-C, chromatin accessibility, and transcriptomic data, revealing regulatory relationships in cardiac fibroblasts.

The paper identifies 979 novel genetic loci for 36 quantitative traits by analyzing data from the Taiwan Biobank, Biobank Japan, and UK Biobank, highlighting the value of diverse populations in GWAS.

The paper maps genetic associations with plasma proteins in 54,306 UK Biobank participants, identifying 10,248 new protein quantitative trait loci (pQTLs) and expanding the genetic architecture of the plasma proteome.

This study identifies genetic correlations and causal relationships between multiple sclerosis and musculoskeletal traits using GWAS data and Mendelian Randomization.

This study presents transcriptomic and proteomic analyses of obesity and T2D in cynomolgus monkeys, identifying tissue-specific molecular changes and potential therapeutic targets.

The paper develops a human iPSC-derived sinoatrial node system to study heart rhythm-associated SNPs and identifies causal variants linked to heart rate and atrial fibrillation.

This paper shows that wnt16 regulates spine and muscle morphogenesis in zebrafish through signals from notochord and dermomyotome, explaining its dual role in bone and muscle traits.

The paper introduces the Taiwan Biobank, a large-scale biobank with genetic and phenotypic data from 150,000 individuals, highlighting its population structure and potential for genetic research.

This paper identifies spatial phenotypic patterns in zebrafish somatic mutants using deep phenotyping and statistical frameworks to improve discrimination of mutant populations.

This paper identifies 518 genetic loci associated with bone mineral density and fracture risk, validates causal genes in mice, and provides insights for osteoporosis drug development.

The paper shows that polygenic scores for depression traits predict lithium response in bipolar disorder patients, with lower genetic load linked to better treatment outcomes.

The paper uses polygenic scores to show genetic overlaps between lumbar disc degeneration and height, BMI, and BMD in Chinese and Japanese cohorts.

This study finds that a higher genetic risk for schizophrenia is linked to poorer lithium response in bipolar disorder patients, suggesting potential for personalized treatment strategies.

This paper introduces a two-stage method to detect pleiotropic genetic variants using GWAS summary statistics, showing improved power over existing approaches.