Searching for new genetic risk factors for neuropsychiatric disorders in expression databases.
Genetic variations might contribute to differences in protein activities and gene expression levels observed in complex genetic traits, like neuropsychiatric disease. This finding motivated the development of original approaches using expression studies to guide the finding of new genetic variations. We extended this approach to new genes selected from microarrays studies of brain samples of patients with Alzheimer's disease, major depressive disorder, bipolar affective disorder, and sporadic Creutzfeldt-Jakob disease. The CLCbio Workbench Combined version 3.6.2 was initially used to build expression sites tags (ESTs) and mRNA files retrieved, respectively, from the Goldenpath (UCSC) and NCBI databases and latter to perform multiple batches of Smith-Waterman alignments. The total of 438 ESTs sequences were selected after proper stringent parameters were applied to the first set of mismatches. The annotation revealed various classes of variations, most of them deletions ranging from 1 to 10 pb. These deletions were present in coding regions, 5' and 3' UTR regions. Deletions are often associated to major genetic syndromes with dysmorphic features; however, recent studies show that common microdeletions might be highly associated with common neuropsychiatric disorders.
de Souza
Manuela Barbosa Rodrigues
MB
Keizo Asami Laboratory (LIKA), Federal University of Pernambuco, Recife, PE, Brazil.
de Lemos
Roberta Rodrigues
RR
da Cunha
José Eriton Gomes
JE
de Lima Filho
José Luiz
JL
de Oliveira
João Ricardo Mendes
JR
D030541:Databases, Genetic; D020869:Gene Expression Profiling; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D006801:Humans; D001523:Mental Disorders / Q000235:genetics* / Q000503:physiopathology; D046228:Microarray Analysis; D008969:Molecular Sequence Data; D019636:Neurodegenerative Diseases / Q000235:genetics* / Q000473:pathology / Q000503:physiopathology; D012307:Risk Factors