title: Whole genome expression as a quantitative trait.
abstract: Surprisingly, whole genome analyses of complex human neurological and psychiatric disorders have revealed that many genetic risk factors are likely to influence gene expression rather than alter protein sequences. Previous analyses of neurological diseases have shown that genetic variability in gene expression levels of deposited proteins influence disease risk. With this background, we have embarked on a comprehensive project to determine the effects of common genetic variability on whole genome gene expression.
authors.affiliation: Reta Lila Weston Laboratories, UCL Institute of Neurology, Queen Square, London WC1H 3BG, UK. .hardy@ion.ucl.ac.uk
authors.forename: John
authors.initials: J
authors.lastname: Hardy
authors.forename: Danyah
authors.initials: D
authors.lastname: Trabzuni
authors.forename: Mina
authors.initials: M
authors.lastname: Ryten
mesh_terms: D015870:Gene Expression; D020022:Genetic Predisposition to Disease; D015894:Genome, Human; D005838:Genotype; D006801:Humans; D009422:Nervous System Diseases / Q000235:genetics*; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism
chemical_list: D012333:RNA, Messenger