Literature DB >> 17440953

Neuroimaging endophenotypes: strategies for finding genes influencing brain structure and function.

David C Glahn1, Paul M Thompson, John Blangero.   

Abstract

It is vitally important to identify the genetic determinants of complex brain-related disorders such as autism, dementia, mood disorders, and schizophrenia. However, the search for genes predisposing individuals to these illnesses has been hampered by their genetic and phenotypic complexity and by reliance upon phenomenologically based qualitative diagnostic systems. Neuroimaging endophenotypes are quantitative indicators of brain structure or function that index genetic liability for an illness. These indices will significantly improve gene discovery and help us to understand the functional consequences of specific genes at the level of systems neuroscience. Here, we review the feasibility of using neuroanatomic and neuropsychological measures as endophenotypes for brain-related disorders. Specifically, we examine specific indices of brain structure or function that are genetically influenced and associated with neurological and psychiatric illness. In addition, we review genetic approaches that capitalize on the use of quantitative traits, including those derived from brain images. (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17440953      PMCID: PMC6871286          DOI: 10.1002/hbm.20401

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  125 in total

1.  Heritability of lobar brain volumes in twins supports genetic models of cerebral laterality and handedness.

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2.  Functional magnetic resonance imaging study of cognitive control in the healthy relatives of schizophrenia patients.

Authors:  Angus W MacDonald; Theresa M Becker; Cameron S Carter
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3.  Brain dopamine d1 receptors in twins discordant for schizophrenia.

Authors:  Jussi Hirvonen; Theo G M van Erp; Jukka Huttunen; Sargo Aalto; Kjell Någren; Matti Huttunen; Jouko Lönnqvist; Jaakko Kaprio; Tyrone D Cannon; Jarmo Hietala
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4.  Quantitative genetics of relative organ weight variation in captive baboons.

Authors:  M C Mahaney; S Williams-Blangero; J Blangero; M M Leland
Journal:  Hum Biol       Date:  1993-12       Impact factor: 0.553

5.  Supra-regional brain systems and the neuropathology of schizophrenia.

Authors:  I C Wright; T Sharma; Z R Ellison; P K McGuire; K J Friston; M J Brammer; R M Murray; E T Bullmore
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6.  Investigating the role of brain-derived neurotrophic factor in relapsing-remitting multiple sclerosis.

Authors:  M Liguori; F Fera; M C Gioia; P Valentino; I Manna; F Condino; A Cerasa; A La Russa; A Clodomiro; A Paolillo; R Nisticò; L Vercillo; R Cittadella; A Quattrone
Journal:  Genes Brain Behav       Date:  2007-03       Impact factor: 3.449

7.  Catechol O-methyltransferase val158-met genotype and individual variation in the brain response to amphetamine.

Authors:  Venkata S Mattay; Terry E Goldberg; Francesco Fera; Ahmad R Hariri; Alessandro Tessitore; Michael F Egan; Bhaskar Kolachana; Joseph H Callicott; Daniel R Weinberger
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-25       Impact factor: 11.205

8.  Quantitative brain magnetic resonance imaging in attention-deficit hyperactivity disorder.

Authors:  F X Castellanos; J N Giedd; W L Marsh; S D Hamburger; A C Vaituzis; D P Dickstein; S E Sarfatti; Y C Vauss; J W Snell; N Lange; D Kaysen; A L Krain; G F Ritchie; J C Rajapakse; J L Rapoport
Journal:  Arch Gen Psychiatry       Date:  1996-07

9.  Positional cloning of the human quantitative trait locus underlying taste sensitivity to phenylthiocarbamide.

Authors:  Un-kyung Kim; Eric Jorgenson; Hilary Coon; Mark Leppert; Neil Risch; Dennis Drayna
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10.  Genetic variation in white matter hyperintensity volume in the Framingham Study.

Authors:  Larry D Atwood; Philip A Wolf; Nancy L Heard-Costa; Joseph M Massaro; Alexa Beiser; Ralph B D'Agostino; Charles DeCarli
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  123 in total

1.  Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans.

Authors:  Andrew J Saykin; Li Shen; Tatiana M Foroud; Steven G Potkin; Shanker Swaminathan; Sungeun Kim; Shannon L Risacher; Kwangsik Nho; Matthew J Huentelman; David W Craig; Paul M Thompson; Jason L Stein; Jason H Moore; Lindsay A Farrer; Robert C Green; Lars Bertram; Clifford R Jack; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2010-05       Impact factor: 21.566

Review 2.  The concept of FDG-PET endophenotype in Alzheimer's disease.

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Journal:  Neurol Sci       Date:  2011-06-01       Impact factor: 3.307

3.  Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort.

Authors:  Hua Wang; Feiping Nie; Heng Huang; Sungeun Kim; Kwangsik Nho; Shannon L Risacher; Andrew J Saykin; Li Shen
Journal:  Bioinformatics       Date:  2011-12-06       Impact factor: 6.937

Review 4.  Genetics of emotion.

Authors:  Laura Bevilacqua; David Goldman
Journal:  Trends Cogn Sci       Date:  2011-08-10       Impact factor: 20.229

Review 5.  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

6.  Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.

Authors:  Meiling Wang; Xiaoke Hao; Jiashuang Huang; Wei Shao; Daoqiang Zhang
Journal:  Bioinformatics       Date:  2019-06-01       Impact factor: 6.937

7.  Voxelwise genome-wide association study (vGWAS).

Authors:  Jason L Stein; Xue Hua; Suh Lee; April J Ho; Alex D Leow; Arthur W Toga; Andrew J Saykin; Li Shen; Tatiana Foroud; Nathan Pankratz; Matthew J Huentelman; David W Craig; Jill D Gerber; April N Allen; Jason J Corneveaux; Bryan M Dechairo; Steven G Potkin; Michael W Weiner; Paul Thompson
Journal:  Neuroimage       Date:  2010-02-17       Impact factor: 6.556

8.  Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies.

Authors:  Anderson M Winkler; Peter Kochunov; John Blangero; Laura Almasy; Karl Zilles; Peter T Fox; Ravindranath Duggirala; David C Glahn
Journal:  Neuroimage       Date:  2009-12-16       Impact factor: 6.556

9.  Distinct genetic influences on cortical surface area and cortical thickness.

Authors:  Matthew S Panizzon; Christine Fennema-Notestine; Lisa T Eyler; Terry L Jernigan; Elizabeth Prom-Wormley; Michael Neale; Kristen Jacobson; Michael J Lyons; Michael D Grant; Carol E Franz; Hong Xian; Ming Tsuang; Bruce Fischl; Larry Seidman; Anders Dale; William S Kremen
Journal:  Cereb Cortex       Date:  2009-03-18       Impact factor: 5.357

10.  Meeting the Challenges of Neuroimaging Genetics.

Authors:  Greig I de Zubicaray; Ming-Chang Chiang; Katie L McMahon; David W Shattuck; Arthur W Toga; Nicholas G Martin; Margaret J Wright; Paul M Thompson
Journal:  Brain Imaging Behav       Date:  2008-12-01       Impact factor: 3.978

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