Author

Lisa A M Pennells

University of CambridgeORCID 0000-0002-8594-3061Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Angela WoodiD· 2 shared Emanuele Di AngelantonioiD· 2 shared John DaneshiD· 2 shared Michael InouyeiD· 2 shared Adam S. ButterworthiD· 1 shared Christopher P. NelsoniD· 1 shared David Stevens· 1 shared Eleni SofianopoulouiD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Angela WoodORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineNature CommunicationsPeer-reviewedSep 14, 2024

Evaluating the cost-effectiveness of polygenic risk score-stratified screening for abdominal aortic aneurysm

Martin Kelemen, John Danesh, Emanuele Di Angelantonio…·Lois G. Kim

This study evaluates the cost-effectiveness of polygenic risk score-stratified screening for abdominal aortic aneurysm compared to current strategies.

17 citationstop 4%

humanGWAS summary statistics

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GenomicsbioRxivPreprintAug 22, 2019

Use of polygenic risk scores and other molecular markers to enhance cardiovascular risk prediction: Prospective cohort study and modelling analysis

Luanluan Sun, Lisa A M Pennells, Stephen K. Kaptoge…·Emanuele Di Angelantonio

This study evaluates how adding polygenic risk scores and clinical biochemistry markers to conventional CVD risk models improves prediction accuracy and informs statin therapy decisions in a UK primary care setting.

2 citations

humanGWAS summary statistics

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