Author

Lawrence Middleton

AstraZeneca (United Kingdom)ORCID 0009-0002-2789-7244Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:whole-exome sequencing· 3 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Dimitrios VitsiosiD· 3 shared Quanli WangiD· 3 shared Andrew Robert HarperiD· 2 shared Dirk S. PauliD· 2 shared Keren CarssiD· 2 shared Ryan S. DhindsaiD· 2 shared Slavé PetrovskiiD· 2 shared Abhishek NagiD· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Dimitrios VitsiosORCID

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Author profile →

3 papers

Recent·Most cited

Applying Machine Learning on UK Biobank biomarker data empowers case-control discovery yield

Manik Garg, Marcin Karpiński, Dorota Matelska, Lawrence Middleton, Jonathan Mitchell, Amanda O’Neill, Quanli Wang, Andrew Robert Harper, Ryan S. Dhindsa, Slavé Petrovski, Dimitrios Vitsios

The paper uses machine learning to identify undiagnosed cases in UK Biobank data, improving gene-disease associations and discovering novel relationships.

medRxiv · Oct 10, 2023 · PreprintGenetic & Genomic Medicine

Assessing the role of rare pathogenic variants in heart failure progression by exome sequencing in 8,089 patients

Olympe Chazara, Marie‐Pierre Dubé, Quanli Wang, Lawrence Middleton, Dimitrios Vitsios, Anna Walentinsson, Qing‐Dong Wang, Kenny M. Hansson, Christopher Bull Granger, John Kjekshus, Carolina Haefliger, Jean‐Claude Tardif, Dirk S. Paul, Keren Carss

This study identifies seven genes associated with heart failure progression using exome sequencing in 8,089 patients and prioritizes them for therapeutic target validation.

medRxiv · Jul 28, 2023 · PreprintGenetic & Genomic Medicine

Assessing the contribution of rare-to-common protein-coding variants to circulating metabolic biomarker levels via 412,394 UK Biobank exome sequences

Abhishek Nag, Lawrence Middleton, Ryan S. Dhindsa, Dimitrios Vitsios, Eleanor M. Wigmore, Erik L. Allman, Anna Reznichenko, Keren Carss, Katherine R. Smith, Quanli Wang, Benjamin Challis, Dirk S. Paul, Andrew Robert Harper, Slavé Petrovski

The paper assesses the contribution of rare-to-common protein-coding variants to metabolic biomarker levels using UK Biobank exome sequences and identifies novel gene-biomarker relationships.

medRxiv · Dec 24, 2021 · PreprintGenetic & Genomic Medicine