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DIAMUND : Direct Comparison of Genomes to Detect Mutations
Author(s) -
Salzberg Steven L.,
Pertea Mihaela,
Fahrner Jill A.,
Sobreira Nara
Publication year - 2014
Publication title -
human mutation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.981
H-Index - 162
eISSN - 1098-1004
pISSN - 1059-7794
DOI - 10.1002/humu.22503
Subject(s) - biology , genetics , genome , exome sequencing , exome , computational biology , reference genome , mutation , dna sequencing , gene
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.