Identification of deleterious synonymous variants in human genomes
Author(s) -
Orion J. Buske,
Ashok Kumar Manickaraj,
Seema Mital,
Peter N. Ray,
Michael Brudno
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt308
Subject(s) - biology , identification (biology) , genome , in silico , genetics , computational biology , genomics , prioritization , mutation , human genome , 1000 genomes project , single nucleotide polymorphism , gene , genotype , botany , management science , economics
The prioritization and identification of disease-causing mutations is one of the most significant challenges in medical genomics. Currently available methods address this problem for non-synonymous single nucleotide variants (SNVs) and variation in promoters/enhancers; however, recent research has implicated synonymous (silent) exonic mutations in a number of disorders.
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