Literature DB >> 14749135

Morphological changes in aging brain structures are differentially affected by time-linked environmental influences despite strong genetic stability.

Adolf Pfefferbaum1, Edith V Sullivan, Dorit Carmelli.   

Abstract

This longitudinal study used the full twin model to estimate change and stability of genetic contributions to morphology of two brain structures, the corpus callosum and lateral ventricles. The 142 subjects were 34 monozygotic (MZ) and 37 dizygotic (DZ) elderly male twin pairs from the National Heart, Lung, and Blood Institute (NHLBI) Twin Study who underwent brain magnetic resonance imaging twice, separated by a 4-year interval. Genetic factors accounted for a substantial portion of individual differences in the size of the corpus callosum and its substructures and of lateral ventricular size. Longitudinal genetic analyses revealed no significant change in the heritability of these structures and no evidence for new genetic variance at Time 2 not present at Time 1. However, both the callosal and ventricular measures showed evidence for new environmental variance at Time 2 not present at Time 1. Confirming a previously posed hypothesis, the phenotypic correlation between absolute change in height of the corpus callosum and absolute change in ventricular volume was significant. Bivariate genetic analysis estimated a significant genetic correlation between the changes in these two structures and the genetic variance in the change of callosal height was entirely due to genes involved in the expansion of ventricles. Genetic stability was present even in old age when brain and other morphological changes can be rapid and highly variable across individuals, inconsistent with an hypothesis that random DNA damage is the cause of aging.

Mesh:

Year:  2004        PMID: 14749135     DOI: 10.1016/s0197-4580(03)00045-9

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  33 in total

Review 1.  Longitudinal study of callosal microstructure in the normal adult aging brain using quantitative DTI fiber tracking.

Authors:  Edith V Sullivan; Torsten Rohlfing; Adolf Pfefferbaum
Journal:  Dev Neuropsychol       Date:  2010       Impact factor: 2.253

Review 2.  Neuroimaging endophenotypes: strategies for finding genes influencing brain structure and function.

Authors:  David C Glahn; Paul M Thompson; John Blangero
Journal:  Hum Brain Mapp       Date:  2007-06       Impact factor: 5.038

Review 3.  Review of twin and family studies on neuroanatomic phenotypes and typical neurodevelopment.

Authors:  J Eric Schmitt; Lisa T Eyler; Jay N Giedd; William S Kremen; Kenneth S Kendler; Michael C Neale
Journal:  Twin Res Hum Genet       Date:  2007-10       Impact factor: 1.587

Review 4.  Ageing and the brain.

Authors:  R Peters
Journal:  Postgrad Med J       Date:  2006-02       Impact factor: 2.401

5.  Mapping genetic influences on ventricular structure in twins.

Authors:  Yi-Yu Chou; Natasha Leporé; Ming-Chang Chiang; Christina Avedissian; Marina Barysheva; Katie L McMahon; Greig I de Zubicaray; Matthew Meredith; Margaret J Wright; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2008-11-07       Impact factor: 6.556

Review 6.  Systems biology of the vervet monkey.

Authors:  Anna J Jasinska; Christopher A Schmitt; Susan K Service; Rita M Cantor; Ken Dewar; James D Jentsch; Jay R Kaplan; Trudy R Turner; Wesley C Warren; George M Weinstock; Roger P Woods; Nelson B Freimer
Journal:  ILAR J       Date:  2013

7.  Heritability and genetic correlation of hair cortisol in vervet monkeys in low and higher stress environments.

Authors:  Lynn A Fairbanks; Matthew J Jorgensen; Julia N Bailey; Sherry E Breidenthal; Rachel Grzywa; Mark L Laudenslager
Journal:  Psychoneuroendocrinology       Date:  2011-03-15       Impact factor: 4.905

8.  MRI brain volume abnormalities in young, nonpsychotic relatives of schizophrenia probands are associated with subsequent prodromal symptoms.

Authors:  Beng-Choon Ho
Journal:  Schizophr Res       Date:  2007-08-29       Impact factor: 4.939

9.  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

10.  In vivo glutamate decline associated with kainic acid-induced status epilepticus.

Authors:  Natalie M Zahr; Elena L Fasano Crawford; Oliver Hsu; Shara Vinco; Dirk Mayer; Torsten Rohlfing; Edith V Sullivan; Adolf Pfefferbaum
Journal:  Brain Res       Date:  2009-08-26       Impact factor: 3.252

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