Author
Po‐Hsiu Kuo
National Taiwan UniversityORCID 0000-0003-0365-3587Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
Click to filter author papersSignature Assays, Organisms & Methods
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2017-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 35 mutual co-author linksMutual co-authors in cluster
6 papers
Recent·Most cited
- Genetic & Genomic MedicinemedRxivPreprintDOI 10.64898/2026.09.30.26364416
- Genetic & Genomic MedicineCell GenomicsPeer-reviewed
Analysis across Taiwan Biobank, Biobank Japan and UK Biobank identifies hundreds of novel loci for 36 quantitative traits
Chia‐Yen Chen, Tzu‐Ting Chen, Yen‐Chen Anne Feng…·Kuang Lin
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.
82 citationstop 1% - Genetic & Genomic MedicineCell GenomicsPeer-reviewed
Taiwan Biobank: a rich biomedical research database of the Taiwanese population
Yen‐Chen Anne Feng, Chia‐Yen Chen, Tzu‐Ting Chen…·Kuang Lin
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.
186 citationstop 1% - GeneticsbioRxivPreprint
Multi-ancestry GWAS of major depression aids locus discovery, fine-mapping, gene prioritisation, and causal inference
Xiangrui Meng, Georgina Navoly, Olga Giannakopoulou…·Karoline B. Kuchenbaecker
This paper conducts a multi-ancestry GWAS of major depression, identifying 190 loci and 354 genes, with findings showing increased fine-mapping power and bidirectional BMI relationship in European ancestry samples.
4 citations - GenomicsbioRxivPreprint
Polygenic scores for major depressive disorder and depressive symptoms predict response to lithium in patients with bipolar disorder
Azmeraw T. Amare, Klaus Oliver Schubert, Liping Hou…·Mario Maj
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.
2 citations - GeneticsbioRxivPreprint
High genetic loading for schizophrenia predicts poor response to lithium in patients with bipolar disorder: A polygenic score and cross-trait genetic analysis
Azmeraw T. Amare, Klaus Oliver Schubert, Liping Hou…·Gustavo Turecki
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.
DOI 10.1101/209270