Testing for an Unusual Distribution of Rare Variants
Massachusetts General Hospital · Center for Human Genetics · +5 more institutions
Abstract
Technological advances make it possible to use high-throughput sequencing as a primary discovery tool of medical genetics, specifically for assaying rare variation. Still this approach faces the analytic challenge that the influence of very rare variants can only be evaluated effectively as a group. A further complication is that any given rare variant could have no effect, could increase risk, or could be protective. We propose here the C-alpha test statistic as a novel approach for testing for the presence of this mixture of effects across a set of rare variants. Unlike existing burden tests, C-alpha, by testing the variance rather than the mean, maintains consistent power when the target set contains both…
Citation impact
- FWCI
- 48.31
- Percentile
- 100%
- References
- 29
Authors
10- BMBenjamin M. NealeCorresponding
Massachusetts General Hospital, Center for Human Genetics, Broad Institute
- MAManuel A. Rivas
Center for Human Genetics, Broad Institute, Massachusetts General Hospital
- BFBenjamin F. Voight
Massachusetts General Hospital, Broad Institute, Center for Human Genetics
- DADavid Altshuler
Massachusetts General Hospital, Harvard University, Broad Institute
- BDBernie Devlin
University of Pittsburgh
Topics & keywords
- Biology
- Statistic
- Rare events
- Set (abstract data type)
- Computational biology
- Variance (accounting)
- Variation (astronomy)
- Statistics