Brain imaging genetics in ADHD and beyond - Mapping pathways from gene to disorder at different levels of complexity

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

卷:80

Review

Klein, Marieke¹  Onnink, Marten¹  van Donkelaar, Marjolein¹  Wolfers, Thomas¹  Harich, Benjamin¹  Shi, Yan¹  Dammers, Janneke^1,2  Arias-Vaisquez, Alejandro^1,2,3  Hoogman, Martine¹  Franke, Barbara^1,2 

[1] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Dept Human Genet, Med Ctr, Nijmegen, Netherlands

[2] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Dept Psychiat, Med Ctr, Nijmegen, Netherlands

[3] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Dept Cognit Neurosci, Med Ctr, Nijmegen, Netherlands

关键词: ADHD;    Brain imaging genetics;    Endophenotype;    Candidate genes;    Animal models;   

DOI  :  10.1016/j.neubiorev.2017.01.013

来源: Elsevier

【 摘 要 】

Attention-deficit/hyperactivity disorder (ADHD) is a common and often persistent neurodevelopmental disorder. Beyond gene-finding, neurobiological parameters, such as brain structure, connectivity, and function, have been used to link genetic variation to ADHD symptomatology. We performed a systematic review of brain imaging genetics studies involving 62 ADHD candidate genes in childhood and adult ADHD cohorts. Fifty-one eligible research articles described studies of 13 ADHD candidate genes. Almost exclusively, single genetic variants were studied, mostly focussing on dopamine-related genes. While promising results have been reported, imaging genetics studies are thus far hampered by methodological differences in study design and analysis methodology, as well as limited sample sizes. Beyond reviewing imaging genetics studies, we also discuss the need for complementary approaches at multiple levels of biological complexity and emphasize the importance of combining and integrating findings across levels for a better understanding of biological pathways from gene to disease. These may include multi-modal imaging genetics studies, bioinformatic analyses, and functional analyses of cell and animal models. (C) 2017 The Authors. Published by Elsevier Ltd.

【 授权许可】

Free