Author

Yu‐Li Liu

National Health Research InstitutesORCID 0000-0001-7519-2965Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:fine-mapping· 1

Frequent Co-Authors

Cathryn M. LewisiD· 3 shared Shih‐Jen TsaiiD· 3 shared Stephan RipkeiD· 3 shared Alessandro SerrettiiD· 2 shared Chiara FabbriiD· 2 shared Chris Wai Hang LoiD· 2 shared Glyn LewisiD· 2 shared Guido BondolfiiD· 2 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Cathryn M. LewisORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJun 4, 2026

Trans-ancestry genome-wide association meta-analysis of antidepressant response to selective serotonin reuptake inhibitors in clinical studies of depression

Ke Hu, Chris Wai Hang Lo, Swapnil Awasthi…·Cathryn M. Lewis

This study performs a trans-ancestry GWAS of SSRI response in depression, finding suggestive associations and enrichment in serotonergic pathways but no genome-wide significant variants.

DOI 10.64898/2026.06.03.26354703

humanGWAS summary statistics

𝕏 PostBluesky

Genetic & Genomic MedicineTranslational PsychiatryPeer-reviewedJul 18, 2024

Meta-analysis of CYP2C19 and CYP2D6 metabolic activity on antidepressant response from 13 clinical studies using genotype imputation

Danyang Li, Oliver Pain, Chiara Fabbri…·Cathryn M. Lewis

This study examines the association between CYP2C19 and CYP2D6 metabolic phenotypes and antidepressant response using genotype imputation across 13 studies, finding no significant associations after correction for multiple testing.

33 citations

humanGWAS summary statistics

𝕏 PostBluesky

GeneticsbioRxivPreprintJul 20, 2022

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

humanGWAS summary statistics

𝕏 PostBluesky