Literature DB >> 20206707

Imaging genetics in ADHD.

Sarah Durston1.   

Abstract

Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neuropsychiatric disorder, with 5% of school age children affected. Up to 80% of the phenotypic variance can be explained by genetic factors. The intermediate or endophenotype approach allows for mapping of the effect of individual risk genes on neurobiological parameters, such as brain structure, chemistry and, ultimately, function. There are two obvious advantages of applying such an approach to complex disorders: first, these measures are causally closer to genes and gene expression than behavior, meaning that gene effects should be magnified. Second, neuroimaging provides a means to uncover the neurobiological mechanisms by which gene variants impact the brain. To date, only fourteen studies have applied an imaging genetics approach to ADHD. Eight of these used MRI, four SPECT and two EEG. These imaging modalities have afforded us a window on the brain, permitting a glimpse of how genetic changes can affect brain structure, chemistry and function. The studies to date have often focused on two prime candidate genes in the dopamine system, the DRD4 and DAT1 genes. However, the effects of neither are yet fully understood. Imaging genetics in ADHD is in its infancy. While attempts to integrate the findings to date are hinting at how genes may impact various aspects of neural functioning, studies testing clear model-based hypotheses, using multimodal approaches may provide a means to link various windows on the brain. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20206707     DOI: 10.1016/j.neuroimage.2010.02.071

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


  23 in total

Review 1.  Genetics in child and adolescent psychiatry: methodological advances and conceptual issues.

Authors:  Sarah Hohmann; Nicoletta Adamo; Benjamin B Lahey; Stephen V Faraone; Tobias Banaschewski
Journal:  Eur Child Adolesc Psychiatry       Date:  2015-04-08       Impact factor: 4.785

Review 2.  Applying imaging genetics to ADHD: the promises and the challenges.

Authors:  Zhaomin Wu; Li Yang; Yufeng Wang
Journal:  Mol Neurobiol       Date:  2014-04-01       Impact factor: 5.590

3.  Relationship of DAT1 and adult ADHD to task-positive and task-negative working memory networks.

Authors:  Ariel Beth Brown; Joseph Biederman; Eve Valera; Nikos Makris; Alysa Doyle; Susan Whitfield-Gabrieli; Eric Mick; Thomas Spencer; Stephen Faraone; Larry Seidman
Journal:  Psychiatry Res       Date:  2011-05-18       Impact factor: 3.222

4.  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

5.  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 6.  Neuroimaging in psychiatric pharmacogenetics research: the promise and pitfalls.

Authors:  Mary Falcone; Ryan M Smith; Meghan J Chenoweth; Abesh Kumar Bhattacharjee; John R Kelsoe; Rachel F Tyndale; Caryn Lerman
Journal:  Neuropsychopharmacology       Date:  2013-06-24       Impact factor: 7.853

Review 7.  Pharmacotherapy for attention-deficit/hyperactivity disorder: from cells to circuits.

Authors:  Michael J Minzenberg
Journal:  Neurotherapeutics       Date:  2012-07       Impact factor: 7.620

8.  FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data.

Authors:  Meiyan Huang; Thomas Nichols; Chao Huang; Yang Yu; Zhaohua Lu; Rebecca C Knickmeyer; Qianjin Feng; Hongtu Zhu
Journal:  Neuroimage       Date:  2015-05-27       Impact factor: 6.556

9.  Female-specific association of NOS1 genotype with white matter microstructure in ADHD patients and controls.

Authors:  Hanneke van Ewijk; Janita Bralten; Esther D A van Duin; Marina Hakobjan; Jan K Buitelaar; Dirk J Heslenfeld; Pieter J Hoekstra; Catharina Hartman; Martine Hoogman; Jaap Oosterlaan; Barbara Franke
Journal:  J Child Psychol Psychiatry       Date:  2017-06-07       Impact factor: 8.982

10.  COMT genotype affects brain white matter pathways in attention-deficit/hyperactivity disorder.

Authors:  Soon-Beom Hong; Andrew Zalesky; Subin Park; Young-Hui Yang; Min-Hyeon Park; BoAh Kim; In-Chan Song; Chul-Ho Sohn; Min-Sup Shin; Bung-Nyun Kim; Soo-Churl Cho; Jae-Won Kim
Journal:  Hum Brain Mapp       Date:  2014-09-09       Impact factor: 5.038

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