Genetics of brain structure: Contributions from the vietnam era twin study of aging

Understanding the genetics of neuropsychiatric disorders requires an understanding of the genetics of brain structure and function. The Vietnam Era Twin Study of Aging (VETSA) is a longitudinal behavioral genetic study focused on cognitive and brain aging. Here, we describe basic science work carried out within the VETSA MRI study that provides meaningful contributions toward the study of neuropsychiatric disorders. VETSA produced the first comprehensive assessment of the heritability of cortical and subcortical brain structure sizes, all within the same individuals. We showed that neocortical thickness and surface area are largely genetically distinct. With continuous neocortical thickness maps, we demonstrated regional specificity of genetic influences, and that genetic factors did not conform to traditional regions of interest (ROIs). However, there was some evidence for different genetic factors accounting for different types of cortex, and for genetic relationships across cortical regions corresponding to anatomical and functional connectivity and brain maturation patterns. With continuous neocortical surface area maps, we confirmed the anterior–posterior gradient of genetic influences on cortical area patterning demonstrated in animal models. Finally, we used twin methods to create the first map of cortical ROIs based entirely on genetically informative data. We conclude that these genetically based cortical phenotypes may be more appropriate for genetic studies than traditional ROIs based on structure or function. Our results also suggest that cortical volume—the product of thickness and surface area—is a problematic phenotype for genetic studies because two independent sets of genes may be obscured. Examples supporting the validity of these conclusions are provided. © 2013 Wiley Periodicals, Inc.

[1]  C Marsault,et al.  Are the brains of monozygotic twins similar? A three-dimensional MR study. , 1998, AJNR. American journal of neuroradiology.

[2]  Anders M. Dale,et al.  Genetic and environmental influences of white and gray matter signal contrast: A new phenotype for imaging genetics? , 2012, NeuroImage.

[3]  A. Argenti,et al.  Magnetic resonance imaging of cerebral central sulci: a study of monozygotic twins. , 1998, Acta geneticae medicae et gemellologiae.

[4]  J. Sweeney,et al.  Progressive alterations of the auditory association areas in young non-psychotic offspring of schizophrenia patients. , 2011, Journal of psychiatric research.

[5]  J. Kwon,et al.  Cortical thickness reduction in individuals at ultra-high-risk for psychosis. , 2011, Schizophrenia bulletin.

[6]  The volumetric findings in MRI brain study of bipolar twins and their healthy co-twins. , 2002, Bipolar disorders.

[7]  M. Gazzaniga,et al.  Magnetic resonance imaging morphology of the corpus callosum in monozygotic twins , 1989, Annals of neurology.

[8]  J Hajnal,et al.  Perinatal cortical growth and childhood neurocognitive abilities , 2011, Neurology.

[9]  Alan C. Evans,et al.  Intellectual ability and cortical development in children and adolescents , 2006, Nature.

[10]  Anders M. Dale,et al.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.

[11]  Tyrone D. Cannon,et al.  Hippocampal volumes in schizophrenic twins , 2003, Schizophrenia Research.

[12]  Corwin Boake,et al.  Genes, Environment, and Time: The Vietnam Era Twin Study of Aging (VETSA) , 2006, Twin Research and Human Genetics.

[13]  A M Dale,et al.  Testosterone modifies the effect of APOE genotype on hippocampal volume in middle-aged men , 2010, Neurology.

[14]  M. Keshavan,et al.  Cortical surface characteristics among offspring of schizophrenia subjects , 2010, Schizophrenia Research.

[15]  J. Haines,et al.  Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium. , 1997, JAMA.

[16]  C. Clark,et al.  The TWIN-E Project in Emotional Wellbeing: Study Protocol and Preliminary Heritability Results Across Four MRI and DTI Measures , 2012, Twin Research and Human Genetics.

[17]  W. Kremen,et al.  Twin studies of posttraumatic stress disorder: Differentiating vulnerability factors from sequelae , 2012, Neuropharmacology.

[18]  Shen-Ju Chou,et al.  Area Patterning of the Mammalian Cortex , 2007, Neuron.

[19]  J. Giedd,et al.  Review of Twin and Family Studies on Neuroanatomic Phenotypes and Typical Neurodevelopment , 2007, Twin Research and Human Genetics.

[20]  Die Ähnlichkeit von Zwillingsgehirnen , 2001 .

[21]  V. Hachinski Schizophrenia as a brain disease. , 1993, Archives of neurology.

[22]  Daniel R. Weinberger,et al.  Size of the human corpus callosum is genetically determined: an MRI study in mono and dizygotic twins , 2003, Neuroscience Letters.

[23]  P. Yakovlev,et al.  The myelogenetic cycles of regional maturation of the brain , 1967 .

[24]  Denise C. Park,et al.  Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.

[25]  M. McCarthy,et al.  Improved detection of common variants associated with schizophrenia by leveraging pleiotropy with cardiovascular-disease risk factors. , 2013, American journal of human genetics.

[26]  E. Grove,et al.  Neocortex Patterning by the Secreted Signaling Molecule FGF8 , 2001, Science.

[27]  N. Kabani,et al.  Identification of genetically mediated cortical networks: a multivariate study of pediatric twins and siblings. , 2008, Cerebral cortex.

[28]  D. Norman,et al.  Normal maturation of the neonatal and infant brain: MR imaging at 1.5 T. , 1988, Radiology.

[29]  P. Rakic Evolution of the neocortex: Perspective from developmental biology , 2010 .

[30]  Carol E. Franz,et al.  VETSA: The Vietnam Era Twin Study of Aging , 2012, Twin Research and Human Genetics.

[31]  D. Jeste,et al.  Divergent trajectories of physical, cognitive, and psychosocial aging in schizophrenia. , 2011, Schizophrenia bulletin.

[32]  Anders M. Fjell,et al.  Heterogeneity in Subcortical Brain Development: A Structural Magnetic Resonance Imaging Study of Brain Maturation from 8 to 30 Years , 2009, The Journal of Neuroscience.

[33]  B Anderson,et al.  Brain size, head size, and intelligence quotient in monozygotic twins. , 1999, Neurology.

[34]  Bruce Fischl,et al.  Genetic and environmental contributions to regional cortical surface area in humans: a magnetic resonance imaging twin study. , 2011, Cerebral cortex.

[35]  Corwin Boake,et al.  Genes Determine Stability and the Environment Determines Change in Cognitive Ability During 35 Years of Adulthood , 2009, Psychological science.

[36]  Bruce Fischl,et al.  A Comparison of Heritability Maps of Cortical Surface Area and Thickness and the Influence of Adjustment for Whole Brain Measures: A Magnetic Resonance Imaging Twin Study , 2012, Twin Research and Human Genetics.

[37]  R. Kahn,et al.  Quantitative genetic modeling of variation in human brain morphology. , 2001, Cerebral cortex.

[38]  Elizabeth A. Molloy,et al.  The epigenesis of planum temporale asymmetry in twins. , 2002, Cerebral cortex.

[39]  A. Dale,et al.  Hierarchical Genetic Organization of Human Cortical Surface Area , 2012, Science.

[40]  Paul M. Thompson,et al.  Genetics of white matter development: A DTI study of 705 twins and their siblings aged 12 to 29 , 2011, NeuroImage.

[41]  Heinz-Otto Peitgen,et al.  Projecting the sulcal pattern of human brains onto a 2D plane — a new approach using potential theory and MRI , 1998, Psychiatry Research: Neuroimaging.

[42]  I. Melle,et al.  Cortical Volume, Surface Area, and Thickness in Schizophrenia and Bipolar Disorder , 2012, Biological Psychiatry.

[43]  Corwin Boake,et al.  Genes, Environment, and Time: The Vietnam Era Twin Study of Aging (VETSA) , 2006, Twin Research and Human Genetics.

[44]  W. Kremen,et al.  Cognition in Middle Adulthood , 2014 .

[45]  Alan C. Evans,et al.  Mapping genetic and environmental influences on cortical surface area of pediatric twins , 2012, Neuroscience.

[46]  Anders M. Dale,et al.  Cortical Thickness Is Influenced by Regionally Specific Genetic Factors , 2010, Biological Psychiatry.

[47]  R. Kahn,et al.  Genetic influences on human brain structure: A review of brain imaging studies in twins , 2007, Human brain mapping.

[48]  A. Dale,et al.  Distinct genetic influences on cortical surface area and cortical thickness. , 2009, Cerebral cortex.

[49]  Anders M. Dale,et al.  Heritability of brain ventricle volume: Converging evidence from inconsistent results , 2012, Neurobiology of Aging.

[50]  Katie L McMahon,et al.  Genetic and Environmental Influences on Neuroimaging Phenotypes: A Meta-Analytical Perspective on Twin Imaging Studies , 2012, Twin Research and Human Genetics.

[51]  Anders M. Dale,et al.  Genetic influences on hippocampal volume differ as a function of testosterone level in middle-aged men , 2012, NeuroImage.

[52]  Nancy Andreasen,et al.  Brain volumes and surface morphology in monozygotic twins , 2001, NeuroImage.

[53]  N. Raz Aging of the brain and its impact on cognitive performance: Integration of structural and functional findings. , 2000 .

[54]  S. Djurovic,et al.  Effect of DISC1 SNPs on brain structure in healthy controls and patients with a history of psychosis , 2012, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[55]  I. Gottesman,et al.  The endophenotype concept in psychiatry: etymology and strategic intentions. , 2003, The American journal of psychiatry.

[56]  Anderson M. Winkler,et al.  Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies , 2010, NeuroImage.

[57]  Bruce Fischl,et al.  Presence of ApoE ε4 allele associated with thinner frontal cortex in middle age. , 2011, Journal of Alzheimer's disease : JAD.

[58]  P. Visscher,et al.  Common SNPs explain a large proportion of heritability for human height , 2011 .

[59]  A. Reveley,et al.  The genetic basis of cerebral ventricular volume , 1984, Psychiatry Research.

[60]  P. Rakic Specification of cerebral cortical areas. , 1988, Science.

[61]  Anders M. Dale,et al.  Genetic and environmental influences on the size of specific brain regions in midlife: The VETSA MRI study , 2010, NeuroImage.

[62]  L. Mucke,et al.  Androgens Protect against Apolipoprotein E4-Induced Cognitive Deficits , 2002, The Journal of Neuroscience.

[63]  Judy H. Cho,et al.  Dense genotyping of immune-related disease regions identifies nine new risk loci for primary sclerosing cholangitis , 2013, Nature Genetics.

[64]  O. Andreassen,et al.  All SNPs Are Not Created Equal: Genome-Wide Association Studies Reveal a Consistent Pattern of Enrichment among Functionally Annotated SNPs , 2013, PLoS genetics.

[65]  J. Warter Genes, brain and behavior. , 1991, Research publications - Association for Research in Nervous and Mental Disease.

[66]  J. Haines,et al.  Effects of Age, Sex, and Ethnicity on the Association Between Apolipoprotein E Genotype and Alzheimer Disease: A Meta-analysis , 1997 .

[67]  U. Ebeling,et al.  Topography of the uncinate fascicle and adjacent temporal fiber tracts , 2005, Acta Neurochirurgica.

[68]  D. V. van Essen,et al.  Functional and structural mapping of human cerebral cortex: solutions are in the surfaces. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[69]  E. T. Bullmore,et al.  Genetic Contributions to Regional Variability in Human Brain Structure: Methods and Preliminary Results , 2002, NeuroImage.

[70]  V. Mountcastle The columnar organization of the neocortex. , 1997, Brain : a journal of neurology.

[71]  Lars Bäckman,et al.  Apolipoprotein E and cognitive performance: a meta-analysis. , 2004, Psychology and aging.

[72]  E. D. Geus From genotype to EEG endophenotype: a route for post-genomic understanding of complex psychiatric disease? , 2010, Genome Medicine.

[73]  B. Pakkenberg,et al.  Neocortical neuron number in humans: Effect of sex and age , 1997, The Journal of comparative neurology.

[74]  Bruce Fischl,et al.  Genetic patterns of correlation among subcortical volumes in humans: Results from a magnetic resonance imaging twin study , 2011, Human brain mapping.

[75]  Thomas W. Mühleisen,et al.  Reduced Cortical Thickness is Associated with the Glutamatergic Regulatory Gene Risk Variant DAOA Arg30Lys in Schizophrenia , 2011, Neuropsychopharmacology.

[76]  Anders M. Dale,et al.  Genetic Influences on Cortical Regionalization in the Human Brain , 2011, Neuron.

[77]  D. Pandya,et al.  Segmentation of subcomponents within the superior longitudinal fascicle in humans: a quantitative, in vivo, DT-MRI study. , 2005, Cerebral cortex.

[78]  Dorret I Boomsma,et al.  Brain SCALE: Brain Structure and Cognition: an Adolescent Longitudinal Twin Study into the Genetic Etiology of Individual Differences , 2012, Twin Research and Human Genetics.

[79]  J. Morris,et al.  Differential effects of aging and Alzheimer's disease on medial temporal lobe cortical thickness and surface area , 2009, Neurobiology of Aging.

[80]  Alan C. Evans,et al.  Brain size and cortical structure in the adult human brain. , 2008, Cerebral cortex.

[81]  J. Stockman Has Age at Menarche Changed? Results from the National Health and Nutrition Examination Survey (NHANES) 1999–2004 , 2008 .

[82]  D. V. von Cramon,et al.  Sulcal variability of twins. , 1999, Cerebral cortex.

[83]  Charles DeCarli,et al.  Quantitative genetic modeling of regional brain volumes and cognitive performance in older male twins , 2002, Biological Psychology.

[84]  Alan C. Evans,et al.  Statistical Sulcal Shape Comparisons: Application to the Detection of Genetic Encoding of the Central Sulcus Shape , 2000, NeuroImage.

[85]  A. Dale,et al.  High consistency of regional cortical thinning in aging across multiple samples. , 2009, Cerebral cortex.

[86]  E. D. de Geus From genotype to EEG endophenotype: a route for post-genomic understanding of complex psychiatric disease? , 2010, Genome Medicine.

[87]  David N. Kennedy,et al.  A Twin MRI Study of Size Variations in the Human Brain , 2000, Journal of Cognitive Neuroscience.

[88]  J. Hajnal,et al.  Abnormal Cortical Development after Premature Birth Shown by Altered Allometric Scaling of Brain Growth , 2006, PLoS medicine.

[89]  Paul M. Thompson,et al.  Mapping genetic influences on ventricular structure in twins , 2009, NeuroImage.

[90]  W. Kremen,et al.  Genetic architecture of learning and delayed recall: a twin study of episodic memory. , 2011, Neuropsychology.

[91]  Daniel T. Larose,et al.  Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .

[92]  J. Csernansky,et al.  Longitudinal progression of frontal and temporal lobe changes in schizophrenia , 2012, Schizophrenia Research.

[93]  Alan C. Evans,et al.  Brain Plasticity and Intellectual Ability Are Influenced by Shared Genes , 2010, The Journal of Neuroscience.

[94]  Martin Styner,et al.  r Human Brain Mapping 000:000–000 (2010) r Genetic and Environmental Contributions to Neonatal Brain Structure: A Twin Study* , 2022 .

[95]  M. Munafo,et al.  The endophenotype concept in psychiatric genetics , 2006, Psychological Medicine.

[96]  Antoine Balzeau,et al.  Endocranial shape asymmetries in Pan paniscus, Pan troglodytes and Gorilla gorilla assessed via skull based landmark analysis. , 2010, Journal of human evolution.

[97]  Roberto Toro,et al.  Cortical anatomy in autism spectrum disorder: an in vivo MRI study on the effect of age. , 2010, Cerebral cortex.

[98]  Andreas Papassotiropoulos,et al.  Genetics of human episodic memory: dealing with complexity , 2011, Trends in Cognitive Sciences.

[99]  [Similarity of the brains of twins]. , 2001, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.

[100]  N. Craddock Psychiatric Genetics , 1996, British Journal of Psychiatry.