Author

Michael J. Sweeting

University of LeicesterORCID 0000-0003-0980-8965Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:GWAS summary statistics· 2 Organism:human· 2 Research Focus:polygenic risk· 2 Organism:mouse· 1

Frequent Co-Authors

John DaneshiD· 3 shared Adam S. ButterworthiD· 2 shared Angela WoodiD· 2 shared Emanuele Di AngelantonioiD· 2 shared Michael InouyeiD· 2 shared Seamus C. HarrisoniD· 2 shared Alison J. FiniganiD· 1 shared Benjamin B. SuniD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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3 shared papersGenetics

John DaneshORCID

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3 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

𝕏 PostBluesky

GeneticsCirculation Genomic and Precision MedicinePeer-reviewedFeb 1, 2019

Interleukin-6 Receptor Signalling and Abdominal Aortic Aneurysm Growth Rates

Ellie Paige, Marc Clément, Fabien Lareyre…·Ziad Mallat

The paper investigates the effect of the IL6R-Asp358Ala variant on AAA growth and evaluates IL-6 pathway blockade in mouse models, finding no significant growth rate reduction but improved survival with trans-signalling inhibition.

64 citationstop 2%

mousestatistical model

𝕏 PostBluesky

GeneticsbioRxivPreprintJan 19, 2018

Genomic risk prediction of coronary artery disease in nearly 500,000 adults: implications for early screening and primary prevention

Michael Inouye, Gad Abraham, Christopher P. Nelson…·Nilesh J. Samani

This paper develops a genomic risk score for coronary artery disease using 1.7 million variants and tests it in UK Biobank, showing it outperforms conventional risk factors in predicting CAD risk.

33 citations

humanGWAS summary statistics

𝕏 PostBluesky