4.0 Article

Imaging and Cognitive Genetics: The Norwegian Cognitive NeuroGenetics Sample

期刊

TWIN RESEARCH AND HUMAN GENETICS
卷 15, 期 3, 页码 442-452

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/thg.2012.8

关键词

attention; cognitive aging; diffusion tensor imaging; resting-state fMRI; cortical thickness; genome-wide association scan

资金

  1. NCNG through Research Council of Norway (including the FUGE program)
  2. National Institutes of Health
  3. University of Oslo
  4. University of Bergen
  5. Western Norway Regional Health Authority

向作者/读者索取更多资源

Data collection for the Norwegian Cognitive NeuroGenetics sample (NCNG) was initiated in 2003 with a research grant (to Ivar Reinvang) to study cognitive aging, brain function, and genetic risk factors. The original focus was on the effects of aging (from middle age and up) and candidate genes (e.g., APOE, CHRNA4) in cross-sectional and longitudinal designs, with the cognitive and MRI-based data primarily being used for this purpose. However, as the main topic of the project broadened from cognitive aging to imaging and cognitive genetics more generally, the sample size, age range of the participants, and scope of available phenotypes and genotypes, have developed beyond the initial project. In 2009, a genome-wide association (GWA) study was undertaken, and the NCNG proper was established to study the genetics of cognitive and brain function more comprehensively. The NCNG is now controlled by the NCNG Study Group, which consists of the present authors. Prominent features of the NCNG are the adult life-span coverage of healthy participants with high-dimensional imaging, and cognitive data from a genetically homogenous sample. Another unique property is the large-scale (sample size 300-700) use of experimental cognitive tasks focusing on attention and working memory. The NCNG data is now used in numerous ongoing GWA-based studies and has contributed to several international consortia on imaging and cognitive genetics. The objective of the following presentation is to give other researchers the information necessary to evaluate possible contributions from the NCNG to various multi-sample data analyses.

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