| Title |
Gene-Based Analysis of Regionally Enriched Cortical Genes in GWAS Data Sets of Cognitive Traits and Psychiatric Disorders
|
|---|---|
| Published in |
PLOS ONE, February 2012
|
| DOI | 10.1371/journal.pone.0031687 |
| Pubmed ID | |
| Authors |
Kari M. Ersland, Andrea Christoforou, Christine Stansberg, Thomas Espeseth, Manuel Mattheisen, Morten Mattingsdal, Gudmundur A. Hardarson, Thomas Hansen, Carla P. D. Fernandes, Sudheer Giddaluru, René Breuer, Jana Strohmaier, Srdjan Djurovic, Markus M. Nöthen, Marcella Rietschel, Astri J. Lundervold, Thomas Werge, Sven Cichon, Ole A. Andreassen, Ivar Reinvang, Vidar M. Steen, Stephanie Le Hellard |
| Abstract |
Despite its estimated high heritability, the genetic architecture leading to differences in cognitive performance remains poorly understood. Different cortical regions play important roles in normal cognitive functioning and impairment. Recently, we reported on sets of regionally enriched genes in three different cortical areas (frontomedial, temporal and occipital cortices) of the adult rat brain. It has been suggested that genes preferentially, or specifically, expressed in one region or organ reflect functional specialisation. Employing a gene-based approach to the analysis, we used the regionally enriched cortical genes to mine a genome-wide association study (GWAS) of the Norwegian Cognitive NeuroGenetics (NCNG) sample of healthy adults for association to nine psychometric tests measures. In addition, we explored GWAS data sets for the serious psychiatric disorders schizophrenia (SCZ) (n = 3 samples) and bipolar affective disorder (BP) (n = 3 samples), to which cognitive impairment is linked. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| Germany | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Austria | 1 | 1% |
| Unknown | 84 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 25% |
| Student > Ph. D. Student | 17 | 20% |
| Student > Bachelor | 10 | 11% |
| Student > Master | 7 | 8% |
| Professor | 3 | 3% |
| Other | 11 | 13% |
| Unknown | 17 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 17% |
| Agricultural and Biological Sciences | 15 | 17% |
| Psychology | 13 | 15% |
| Neuroscience | 12 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 23 | 26% |