Title |
Neuroimaging genomics in psychiatry—a translational approach
|
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Published in |
Genome Medicine, November 2017
|
DOI | 10.1186/s13073-017-0496-z |
Pubmed ID | |
Authors |
Mary S. Mufford, Dan J. Stein, Shareefa Dalvie, Nynke A. Groenewold, Paul M. Thompson, Neda Jahanshad |
Abstract |
Neuroimaging genomics is a relatively new field focused on integrating genomic and imaging data in order to investigate the mechanisms underlying brain phenotypes and neuropsychiatric disorders. While early work in neuroimaging genomics focused on mapping the associations of candidate gene variants with neuroimaging measures in small cohorts, the lack of reproducible results inspired better-powered and unbiased large-scale approaches. Notably, genome-wide association studies (GWAS) of brain imaging in thousands of individuals around the world have led to a range of promising findings. Extensions of such approaches are now addressing epigenetics, gene-gene epistasis, and gene-environment interactions, not only in brain structure, but also in brain function. Complementary developments in systems biology might facilitate the translation of findings from basic neuroscience and neuroimaging genomics to clinical practice. Here, we review recent approaches in neuroimaging genomics-we highlight the latest discoveries, discuss advantages and limitations of current approaches, and consider directions by which the field can move forward to shed light on brain disorders. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 3 | 18% |
United Kingdom | 3 | 18% |
United States | 3 | 18% |
Spain | 1 | 6% |
Ireland | 1 | 6% |
Unknown | 6 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 47% |
Scientists | 8 | 47% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 116 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 16% |
Researcher | 18 | 16% |
Student > Master | 11 | 9% |
Student > Bachelor | 8 | 7% |
Student > Postgraduate | 8 | 7% |
Other | 28 | 24% |
Unknown | 25 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 18 | 16% |
Medicine and Dentistry | 14 | 12% |
Biochemistry, Genetics and Molecular Biology | 13 | 11% |
Agricultural and Biological Sciences | 11 | 9% |
Psychology | 4 | 3% |
Other | 16 | 14% |
Unknown | 40 | 34% |