Psychiatric genetics in silico: databases and tools for psychiatric geneticists.
Bioinformatics can significantly impact the laboratory genetics process from the study design phase to conclusive identification of a disease gene. The present review will highlight key databases to enhance psychiatric genetic study design, based on full use of genomics data and the golden path sequence. It will address methods to ensure comprehensive genetic data mining, using the best available genomic and genetic databases such as the University of California Santa Cruz human genome browser, Ensembl, Mapview, dbSNP and GDB, and locus-specific databases such as Online Mendelian Inheritance In Man. Using the golden path sequence as a template, with the necessary quality checks, it is possible to design detailed genetic studies from sequence information alone. Drawing together this diverse information, it is possible to characterize a locus or gene in silico to a very detailed level. This in turn can have real cost and efficiency benefits by assisting in the identification of markers that are most likely to be informative, or by highlighting the best candidate genes for study.
Barnes
Michael R
MR
GlaxoSmithKline Pharmaceuticals, Genetic Bioinformatics, Harlow, Essex, UK. Michael-R-Barnes@gsk.com
D016206:Databases, Bibliographic; D016208:Databases, Factual; D005821:Genetic Techniques / Q000639:trends; D015894:Genome, Human; D006801:Humans; D001523:Mental Disorders / Q000235:genetics*; D039781:PubMed