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Revealing the human mutome
Authors:JM Chen  C Férec  DN Cooper
Affiliation:1. Etablissement Fran?ais du Sang (EFS) – Bretagne, Brest, France;2. Institut National de la Santé et de la Recherche Médicale (INSERM), U613, Brest, France;3. Faculté de Médecine et des Sciences de la Santé, Université de Bretagne Occidentale (UBO), Brest, France;4. Laboratoire de Génétique Moléculaire et d’Histocompatibilité, Centre Hospitalier Universitaire (CHU), H?pital Morvan, Brest, France;5. Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, UK
Abstract:
Chen JM, Férec C, Cooper DN. Revealing the human mutome. The number of known mutations in human nuclear genes, underlying or associated with human inherited disease, has now exceeded 100,000 in more than 3700 different genes (Human Gene Mutation Database). However, for a variety of reasons, this figure is likely to represent only a small proportion of the clinically relevant genetic variants that remain to be identified in the human genome (the ‘mutome’). With the advent of next‐generation sequencing, we are currently witnessing a revolution in medical genetics. In particular, whole‐genome sequencing (WGS) has the potential to identify all disease‐causing or disease‐associated DNA variants in a given individual. Here, we use examples of recent advances in our understanding of mutational/pathogenic mechanisms to guide our thinking about possible locations outwith gene‐coding sequences for those disease‐causing or disease‐associated variants that are likely so often to have been overlooked because of the inadequacy of current mutation screening protocols. Such considerations are important not only for improving mutation‐screening strategies but also for enhancing the interpretation of findings derived from genome‐wide association studies, whole‐exome sequencing and WGS. An improved understanding of the human mutome will not only lead to the development of improved diagnostic testing procedures but should also improve our understanding of human genome biology.
Keywords:
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