4.4 Article

Searching for New Genetic Risk Factors for Neuropsychiatric Disorders in Expression Databases

Journal

JOURNAL OF MOLECULAR NEUROSCIENCE
Volume 41, Issue 1, Pages 193-197

Publisher

HUMANA PRESS INC
DOI: 10.1007/s12031-009-9321-5

Keywords

Genetic variations; Bioinformatics; Expression databases; Neuropsychiatric disorders; Neurogenetics

Funding

  1. LIKA-JIKA
  2. PROPESQ-UFPE
  3. CAPES
  4. CNPq
  5. FACEPE

Ask authors/readers for more resources

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 CombinedA (R) 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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available