Dr Damian Smedley | Senior Scientific Manager

This person is a member of Sanger Institute Alumni.

Smedley, Damian

Damian Smedley leads a group of computational biologists, applying semantic similarity approaches to phenotype data to further our understanding of human disease.

The main focus of my research is in utilising phenotype data to diagnose diseases, discover novel disease genes, and identify suitable animal models for mechanistic and therapeutic studies.

In collaboration with Professor Peter Robinson, Charite University, Berlin and fellow members of the Monarch Initative, I lead the development of a phenotype-aware approach to the analysis of disease genomes and exomes: the Exomiser software suite.

As part of the International Mouse Phenotyping Consortium, I lead the production of disease pages that highlight the phenotypic similarites between the phenotyped mice and rare diseases.


  • Phenotype-driven strategies for exome prioritization of human Mendelian disease genes.

    Smedley D and Robinson PN

    Genome medicine 2015;7;1;81

  • Walking the interactome for candidate prioritization in exome sequencing studies of Mendelian diseases.

    Smedley D, Köhler S, Czeschik JC, Amberger J, Bocchini C et al.

    Bioinformatics (Oxford, England) 2014;30;22;3215-22

  • Linking tissues to phenotypes using gene expression profiles.

    Oellrich A, Sanger Mouse Genetics Project and Smedley D

    Database : the journal of biological databases and curation 2014;2014;bau017

  • Improved exome prioritization of disease genes through cross-species phenotype comparison.

    Robinson PN, Köhler S, Oellrich A, Sanger Mouse Genetics Project, Wang K et al.

    Genome research 2014;24;2;340-8

  • PhenoDigm: analyzing curated annotations to associate animal models with human diseases.

    Smedley D, Oellrich A, Köhler S, Ruef B, Sanger Mouse Genetics Project et al.

    Database : the journal of biological databases and curation 2013;2013;bat025

Career/Research Highlights

Smedley, Damian