Author

Melisa Chuong

Genomics (United Kingdom)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:GWAS summary statistics· 2 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Andrew Mark McIntoshiD· 2 shared Chris HaleyiD· 2 shared A.S.F. Kwong· 1 shared Alex S. F. KwongiD· 1 shared C. Amador· 1 shared Carmen AmadoriD· 1 shared Daniel WellsiD· 1 shared Deborah J. ThompsoniD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersGenomics

Andrew Mark McIntoshORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Preventing premature deaths through polygenic risk scores

Melisa Chuong, Deborah J. Thompson, Michael E. Weale, Fernando Riveros-Mckay, Nilesh J. Samani, Daniel Wells, Vincent Plagnol, Gil McVean, Euan Angus Ashley, Peter Donnelly, Seamus C. Harrison, Jack William O’Sullivan

This study evaluates how polygenic risk scores can optimize screening programs to reduce premature deaths by tailoring screening ages based on genetic risk.

Nature Communications · Jan 21, 2026Peer-reviewedGenetic & Genomic Medicine

Methodological Considerations When Using Polygenic Scores to Explore Parent-Offspring Genetic Nurturing Effects

Melisa Chuong, M.J. Adams, A.S.F. Kwong, Chris Haley, C. Amador, Andrew Mark McIntosh

This study examines genetic nurturing effects using polygenic scores in parent-offspring trios and identifies biases when parental phenotypes are included.

Wellcome Open Research · Jan 6, 2026Peer-reviewedGenomics

Genome-by-Trauma Interaction Effects in Depression

Melisa Chuong, Mark J. Adams, Alex S. F. Kwong, Chris Haley, Carmen Amador, Andrew Mark McIntosh

This study examines genome-by-trauma interaction effects on depression using whole genome data and finds significant variance explained by these interactions, particularly in males.

medRxiv · Mar 11, 2022 · PreprintGenetic & Genomic Medicine