Guidelines for investigating causality of sequence variants in human disease
Massachusetts General Hospital · Broad Institute · +25 more institutions
Abstract
Acceleration in discovery of rare genetic variants possibly linked with disease may mean an increased risk of false-positive reports of causality; this Perspective proposes guidelines to distinguish disease-causing sequence variants from the many potentially functional variants in a human genome, and to assess confidence in their pathogenicity, and highlights priority areas for development. The wide-scale availability of high-throughput DNA sequencing technologies means that data on genetic variation in human diseases are accumulating rapidly. In this Perspective, Daniel MacArthur and colleagues sound a note of caution, pointing out that up to a quarter of reported disease-linked mutations have been found to…
Citation impact
- FWCI
- 136.53
- Percentile
- 100%
- References
- 60
Authors
27Topics & keywords
- Causality (physics)
- Sequence (biology)
- Disease
- Human disease
- Human genome
- Computational biology
- Genetics
- Biology