maging genetics -towards discovery neuroscience

作     者：Tian Ge Gunter Schumann Jianfeng Feng 

作者机构：Centre for Computational Systems Biology School of Mathematical Sciences Fudan University Shanghai 200433 China Department of Computer Science University of Warwick Coventry CV4 7AL UK Institute of Psychiatry King's College London London WC2R 2LS UK 

出 版 物：《Frontiers of Electrical and Electronic Engineering in China》 (中国电气与电子工程前沿（英文版）)

年 卷 期：2013年第8卷第4期

页      面：227-245页

学科分类：0710[理学-生物学] 07[理学] 09[农学] 071006[理学-神经生物学] 071007[理学-遗传学] 0901[农学-作物学] 090102[农学-作物遗传育种] 

主　　题：imaging genetics association study multiple testing 5-O approach 

摘      要：Imaging genetics is an emerging field aimed at identifying and characterizing genetic variants that influence measures derived from anatomical or functional brain images, which are in turn related to brain-related illnesses or fundamental cognitive, emotional and behavioral processes, and are affected by environmental factors. Here we review the recent evolution of statistical approaches and outstanding challenges in imaging genetics, with a focus on population-based imaging genetic association studies. We show the trend in imaging genetics from candidate approaches to pure discovery science, and from univariate to multivariate analyses. We also discuss future directions and prospects of imaging genetics for ultimately helping understand the genetic and environmental underpinnings of various neuropsychiatric disorders and turning basic science into clinical strategies.