Title | DIAMUND: direct comparison of genomes to detect mutations. |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Salzberg, SL, Pertea, M, Fahrner, JA, Sobreira, N |
Journal | Hum Mutat |
Volume | 35 |
Issue | 3 |
Pagination | 283-8 |
Date Published | 2014 Mar |
ISSN | 1098-1004 |
Keywords | Algorithms, Computational Biology, Exome, Genetic Loci, Genetic Variation, Genome, Human, Humans, Mutation, Sequence Alignment, Sequence Analysis, DNA, Software |
Abstract | DNA sequencing has become a powerful method to discover the genetic basis of disease. Standard, widely used protocols for analysis usually begin by comparing each individual to the human reference genome. When applied to a set of related individuals, this approach reveals millions of differences, most of which are shared among the individuals and unrelated to the disease being investigated. We have developed a novel algorithm for variant detection, one that compares DNA sequences directly to one another, without aligning them to the reference genome. When used to find de novo mutations in exome sequences from family trios, or to compare normal and diseased samples from the same individual, the new method, direct alignment for mutation discovery (DIAMUND), produces a dramatically smaller list of candidate mutations than previous methods, without losing sensitivity to detect the true cause of a genetic disease. We demonstrate our results on several example cases, including two family trios in which it correctly found the disease-causing variant while excluding thousands of harmless variants that standard methods had identified. |
DOI | 10.1002/humu.22503 |
Alternate Journal | Hum. Mutat. |
PubMed ID | 24375697 |
PubMed Central ID | PMC4031744 |
Grant List | R01 HG006677 / HG / NHGRI NIH HHS / United States R01-HG006102 / HG / NHGRI NIH HHS / United States R01-HG006677 / HG / NHGRI NIH HHS / United States R01 GM083873 / GM / NIGMS NIH HHS / United States R01 HG006102 / HG / NHGRI NIH HHS / United States U54-HG006493 / HG / NHGRI NIH HHS / United States |