Author

Chris Wai Hang Lo

King's College LondonORCID 0000-0002-3219-8942Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Cathryn M. LewisiD· 3 shared Alessandro SerrettiiD· 2 shared Chiara FabbriiD· 2 shared Glyn LewisiD· 2 shared Guido BondolfiiD· 2 shared Joanna M. BiernackaiD· 2 shared Katharina DomschkeiD· 2 shared Madhurbain SinghiD· 2 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersGenetic & Genomic Medicine

Cathryn M. LewisORCID

Mutual co-authors in cluster

Author profile →

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 MedicinemedRxivPreprintMar 17, 2026

Clustering of major depressive disorder genetic instruments identifies distinct and directionally opposing effects on cardiometabolic risk

Dale Handley, Renu Bala, Francesco Casanova…·Jessica Tyrrell

This study uses MR-Clust to identify three MDD genetic clusters with opposing effects on T2D and cardiometabolic risk, linking them to distinct biological pathways and depression subtypes.

DOI 10.64898/2026.03.16.26347391

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