Literature DB >> 24752552

Heritable changes in regional cortical thickness with age.

Francois Chouinard-Decorte1, D Reese McKay, Andrew Reid, Budhachandra Khundrakpam, Lu Zhao, Sherif Karama, Pierre Rioux, Emma Sprooten, Emma Knowles, Jack W Kent, Joanne E Curran, Harald H H Göring, Thomas D Dyer, Rene L Olvera, Peter Kochunov, Ravi Duggirala, Peter T Fox, Laura Almasy, John Blangero, Pierre Bellec, Alan C Evans, David C Glahn.   

Abstract

It is now well established that regional indices of brain structure such as cortical thickness, surface area or grey matter volume exhibit spatially variable patterns of heritability. However, a recent study found these patterns to change with age during development, a result supported by gene expression studies. Changes in heritability have not been investigated in adulthood so far and could have important implications in the study of heritability and genetic correlations in the brain as well as in the discovery of specific genes explaining them. Herein, we tested for genotype by age (G ×A) interactions, an extension of genotype by environment interactions, through adulthood and healthy aging in 902 subjects from the Genetics of Brain Structure (GOBS) study. A "jackknife" based method for the analysis of stable cortical thickness clusters (JASC) and scale selection is also introduced. Although additive genetic variance remained constant throughout adulthood, we found evidence for incomplete pleiotropy across age in the cortical thickness of paralimbic and parieto-temporal areas. This suggests that different genetic factors account for cortical thickness heritability at different ages in these regions.

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Year:  2014        PMID: 24752552      PMCID: PMC4205107          DOI: 10.1007/s11682-014-9296-x

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  44 in total

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Journal:  Genome Res       Date:  2010-07-20       Impact factor: 9.043

2.  Multi-level bootstrap analysis of stable clusters in resting-state fMRI.

Authors:  Pierre Bellec; Pedro Rosa-Neto; Oliver C Lyttelton; Habib Benali; Alan C Evans
Journal:  Neuroimage       Date:  2010-03-10       Impact factor: 6.556

Review 3.  Virtual imaging laboratories for marker discovery in neurodegenerative diseases.

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4.  The contribution of genes to cortical thickness and volume.

Authors:  Anand A Joshi; Natasha Leporé; Shantanu H Joshi; Agatha D Lee; Marina Barysheva; Jason L Stein; Katie L McMahon; Kori Johnson; Greig I de Zubicaray; Nicholas G Martin; Margaret J Wright; Arthur W Toga; Paul M Thompson
Journal:  Neuroreport       Date:  2011-02-16       Impact factor: 1.837

5.  Common genetic influences on depression, alcohol, and substance use disorders in Mexican-American families.

Authors:  R L Olvera; C E Bearden; D I Velligan; L Almasy; M A Carless; J E Curran; D E Williamson; R Duggirala; J Blangero; D C Glahn
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2011-05-06       Impact factor: 3.568

6.  Hierarchical genetic organization of human cortical surface area.

Authors:  Chi-Hua Chen; E D Gutierrez; Wes Thompson; Matthew S Panizzon; Terry L Jernigan; Lisa T Eyler; Christine Fennema-Notestine; Amy J Jak; Michael C Neale; Carol E Franz; Michael J Lyons; Michael D Grant; Bruce Fischl; Larry J Seidman; Ming T Tsuang; William S Kremen; Anders M Dale
Journal:  Science       Date:  2012-03-30       Impact factor: 47.728

7.  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

8.  Cortical thickness is influenced by regionally specific genetic factors.

Authors:  Lars M Rimol; Matthew S Panizzon; Christine Fennema-Notestine; Lisa T Eyler; Bruce Fischl; Carol E Franz; Donald J Hagler; Michael J Lyons; Michael C Neale; Jennifer Pacheco; Michele E Perry; J Eric Schmitt; Michael D Grant; Larry J Seidman; Heidi W Thermenos; Ming T Tsuang; Seth A Eisen; William S Kremen; Anders M Dale
Journal:  Biol Psychiatry       Date:  2009-12-06       Impact factor: 13.382

9.  Genetic and environmental influences on the size of specific brain regions in midlife: the VETSA MRI study.

Authors:  William S Kremen; Elizabeth Prom-Wormley; Matthew S Panizzon; Lisa T Eyler; Bruce Fischl; Michael C Neale; Carol E Franz; Michael J Lyons; Jennifer Pacheco; Michele E Perry; Allison Stevens; J Eric Schmitt; Michael D Grant; Larry J Seidman; Heidi W Thermenos; Ming T Tsuang; Seth A Eisen; Anders M Dale; Christine Fennema-Notestine
Journal:  Neuroimage       Date:  2009-09-26       Impact factor: 6.556

10.  Lateralized genetic and environmental influences on human brain morphology of 8-year-old twins.

Authors:  Uicheul Yoon; Cherine Fahim; Daniel Perusse; Alan C Evans
Journal:  Neuroimage       Date:  2010-01-11       Impact factor: 6.556

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  13 in total

1.  Evidence from structural and diffusion tensor imaging for frontotemporal deficits in psychometric schizotypy.

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Journal:  Schizophr Bull       Date:  2014-11-11       Impact factor: 9.306

2.  Adolescent Development of Cortical and White Matter Structure in the NCANDA Sample: Role of Sex, Ethnicity, Puberty, and Alcohol Drinking.

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Journal:  Cereb Cortex       Date:  2015-09-26       Impact factor: 5.357

3.  Genetic influences on individual differences in longitudinal changes in global and subcortical brain volumes: Results of the ENIGMA plasticity working group.

Authors:  Rachel M Brouwer; Matthew S Panizzon; David C Glahn; Derrek P Hibar; Xue Hua; Neda Jahanshad; Lucija Abramovic; Greig I de Zubicaray; Carol E Franz; Narelle K Hansell; Ian B Hickie; Marinka M G Koenis; Nicholas G Martin; Karen A Mather; Katie L McMahon; Hugo G Schnack; Lachlan T Strike; Suzanne C Swagerman; Anbupalam Thalamuthu; Wei Wen; John H Gilmore; Nitin Gogtay; René S Kahn; Perminder S Sachdev; Margaret J Wright; Dorret I Boomsma; William S Kremen; Paul M Thompson; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2017-06-05       Impact factor: 5.038

4.  The BDNF Val66Met polymorphism is associated with structural neuroanatomical differences in young children.

Authors:  Kaja K Jasińska; Peter J Molfese; Sergey A Kornilov; W Einar Mencl; Stephen J Frost; Maria Lee; Kenneth R Pugh; Elena L Grigorenko; Nicole Landi
Journal:  Behav Brain Res       Date:  2017-03-27       Impact factor: 3.332

5.  Genomic Studies Across the Lifespan Point to Early Mechanisms Determining Subcortical Volumes.

Authors:  Quentin Le Grand; Claudia L Satizabal; Muralidharan Sargurupremraj; Aniket Mishra; Aicha Soumaré; Alexandre Laurent; Fabrice Crivello; Ami Tsuchida; Jean Shin; Mélissa Macalli; Baljeet Singh; Alexa S Beiser; Charles DeCarli; Evan Fletcher; Tomas Paus; Mark Lathrop; Hieab H H Adams; Joshua C Bis; Sudha Seshadri; Christophe Tzourio; Bernard Mazoyer; Stéphanie Debette
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2021-10-23

6.  A seed-based cross-modal comparison of brain connectivity measures.

Authors:  Andrew T Reid; Felix Hoffstaedter; Gaolang Gong; Angela R Laird; Peter Fox; Alan C Evans; Katrin Amunts; Simon B Eickhoff
Journal:  Brain Struct Funct       Date:  2016-07-02       Impact factor: 3.270

7.  Heritability of Functional Connectivity in Resting State: Assessment of the Dynamic Mean, Dynamic Variance, and Static Connectivity across Networks.

Authors:  Anita D Barber; Catherine E Hegarty; Martin Lindquist; Katherine H Karlsgodt
Journal:  Cereb Cortex       Date:  2021-05-10       Impact factor: 4.861

8.  Morphological integration of the human brain across adolescence and adulthood.

Authors:  Ajay Nadig; Jakob Seidlitz; Cassidy L McDermott; Siyuan Liu; Richard Bethlehem; Tyler M Moore; Travis T Mallard; Liv S Clasen; Jonathan D Blumenthal; François Lalonde; Ruben C Gur; Raquel E Gur; Edward T Bullmore; Theodore D Satterthwaite; Armin Raznahan
Journal:  Proc Natl Acad Sci U S A       Date:  2021-04-06       Impact factor: 12.779

9.  Bayesian sparse heritability analysis with high-dimensional neuroimaging phenotypes.

Authors:  Yize Zhao; Tengfei Li; Hongtu Zhu
Journal:  Biostatistics       Date:  2022-04-13       Impact factor: 5.279

Review 10.  The rise of large-scale imaging studies in psychiatry.

Authors:  Jessica A Turner
Journal:  Gigascience       Date:  2014-11-25       Impact factor: 6.524

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