Literature DB >> 20080192

Imaging genetics--days of future past.

Kristin L Bigos1, Daniel R Weinberger.   

Abstract

Imaging genetics provides a unique tool with which to explore and evaluate the functional impact of brain-relevant genetic polymorphisms with the potential to understand their impact on behavior. Because statistical association with clinical diagnosis does not establish biological significance nor identify a mechanism of risk, imaging genetics is a uniquely valuable strategy for extending statistical evidence with biological data. Applications include identifying biologic mechanisms and pathways that mediate individual differences in complex behaviors and vulnerability to disease, and conversely identifying genes that contribute to functional variation in brain circuitry. Additionally, neuroimaging genetics can validate data that suggest an association with psychiatric illness as well as providing evidence of the mechanism of risk. This review also outlines several critical principles of imaging genetics including a rational approach to the selection of candidate genes, the selection of task paradigms that could be plausibly linked to the biology of the gene of interest, and careful control of non-genetic factors. The future of imaging genetics holds great promise for brain research and for biologic validation of genetic validation in CNS disorders, but a disciplined application of the basic principles outlined in this review is critical. Published by Elsevier Inc.

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Year:  2010        PMID: 20080192     DOI: 10.1016/j.neuroimage.2010.01.035

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  43 in total

Review 1.  Imaging genomics.

Authors:  Paul M Thompson; Nicholas G Martin; Margaret J Wright
Journal:  Curr Opin Neurol       Date:  2010-08       Impact factor: 5.710

2.  Impact of behavioral genetic evidence on the perceptions and dispositions of child abuse victims.

Authors:  Raymond Raad; Paul S Appelbaum
Journal:  Public Health Genomics       Date:  2014-07-22       Impact factor: 2.000

Review 3.  Neuroimaging genetic approaches to Posttraumatic Stress Disorder.

Authors:  Lauren A M Lebois; Jonathan D Wolff; Kerry J Ressler
Journal:  Exp Neurol       Date:  2016-04-22       Impact factor: 5.330

4.  Opposite Neural Trajectories of Apolipoprotein E ϵ4 and ϵ2 Alleles with Aging Associated with Different Risks of Alzheimer's Disease.

Authors:  Hao Shu; Yongmei Shi; Gang Chen; Zan Wang; Duan Liu; Chunxian Yue; B Douglas Ward; Wenjun Li; Zhan Xu; Guangyu Chen; Qihao Guo; Jun Xu; Shi-Jiang Li; Zhijun Zhang
Journal:  Cereb Cortex       Date:  2014-10-21       Impact factor: 5.357

5.  Genetics and brain morphology.

Authors:  Lachlan T Strike; Baptiste Couvy-Duchesne; Narelle K Hansell; Gabriel Cuellar-Partida; Sarah E Medland; Margaret J Wright
Journal:  Neuropsychol Rev       Date:  2015-03-14       Impact factor: 7.444

6.  FGWAS: Functional genome wide association analysis.

Authors:  Chao Huang; Paul Thompson; Yalin Wang; Yang Yu; Jingwen Zhang; Dehan Kong; Rivka R Colen; Rebecca C Knickmeyer; Hongtu Zhu
Journal:  Neuroimage       Date:  2017-07-20       Impact factor: 6.556

Review 7.  Individual differences in cognition, affect, and performance: behavioral, neuroimaging, and molecular genetic approaches.

Authors:  Raja Parasuraman; Yang Jiang
Journal:  Neuroimage       Date:  2011-05-03       Impact factor: 6.556

8.  COMT Val158Met polymorphism influences the susceptibility to framing in decision-making: OFC-amygdala functional connectivity as a mediator.

Authors:  Xiaoxue Gao; Pingyuan Gong; Jinting Liu; Jie Hu; Yue Li; Hongbo Yu; Xiaoliang Gong; Yang Xiang; Changjun Jiang; Xiaolin Zhou
Journal:  Hum Brain Mapp       Date:  2016-02-25       Impact factor: 5.038

9.  Amygdala response to smoking-cessation messages mediates the effects of serotonin transporter gene variation on quitting.

Authors:  Agnes J Jasinska; Hannah Faye Chua; S Shaun Ho; Thad A Polk; Laura S Rozek; Victor J Strecher
Journal:  Neuroimage       Date:  2012-01-02       Impact factor: 6.556

10.  Interaction between oxytocin receptor polymorphism and interdependent culture values on human empathy.

Authors:  Siyang Luo; Yina Ma; Yi Liu; Bingfeng Li; Chenbo Wang; Zhenhao Shi; Xiaoyang Li; Wenxia Zhang; Yi Rao; Shihui Han
Journal:  Soc Cogn Affect Neurosci       Date:  2015-02-13       Impact factor: 3.436

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