Author

Bruce Castle

Royal Devon & Exeter NHS Foundation Trust

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· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:whole-exome sequencing· 2 Research Focus:differential expression· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alan DonaldsoniD· 2 shared Alejandro SifrimiD· 2 shared Carole Brewer· 2 shared Deirdre Donnelly· 2 shared Jeremy F. McRaeiD· 2 shared Joanna KaplanisiD· 2 shared John DeaniD· 2 shared Jonathan N. BergiD· 2 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Alan DonaldsonORCID

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2 papers

Recent·Most cited

The contribution of X-linked coding variation to severe developmental disorders

Hilary C. Martin, Eugene J. Gardner, Kaitlin E. Samocha, Joanna Kaplanis, Nadia A. Akawi, Alejandro Sifrim, Ruth Y. Eberhardt, Ana Lisa Taylor Tavares, Matthew D. C. Neville, Mari Niemi, Giuseppe Gallone, Jeremy F. McRae, Deciphering Developmental Disorders Study, Silvia Borras, Caroline Clark, , Therese Bradley

The paper analyzes X-linked coding variation in developmental disorders, finding similar rates in males and females and estimating pathogenicity of inherited variants.

Nature Communications · Jan 27, 2021Peer-reviewedGenetic & Genomic Medicine

Prevalence, phenotype and architecture of developmental disorders caused by de novo mutation

Jeremy F. McRae, Stephen Clayton, Tomas W. Fitzgerald, Joanna Kaplanis, Elena Prigmore, Diana Rajan, Alejandro Sifrim, Stuart Aitken, Nadia A. Akawi, Mohsan Alvi, Kirsty Ambridge, Daniel M. Barrett, Tanya Bayzetinova, Philip Jones, Wendy D. Jones, , Neeti Ghali

The paper analyzes de novo mutations in developmental disorders using exome sequencing of 4,293 families, identifying 94 genes and estimating a birth prevalence of 0.22-0.47%.

bioRxiv · Mar 7, 2019 · PreprintGenetics