Journal article

Distinct Genetic Influences on Cortical and Subcortical Brain Structures

Wei Wen, Anbupalam Thalamuthu, Karen A Mather, Wanlin Zhu, Jiyang Jiang, Pierre Lafaye de Micheaux, Margaret J Wright, David Ames, Perminder S Sachdev

Scientific Reports | NATURE PUBLISHING GROUP | Published : 2016

Abstract

This study examined the heritability of brain grey matter structures in a subsample of older adult twins (93 MZ and 68 DZ twin pairs; mean age 70 years) from the Older Australian Twins Study. The heritability estimates of subcortical regions ranged from 0.41 (amygdala) to 0.73 (hippocampus), and of cortical regions, from 0.55 (parietal lobe) to 0.78 (frontal lobe). Corresponding structures in the two hemispheres were influenced by the same genetic factors and high genetic correlations were observed between the two hemispheric regions. There were three genetically correlated clusters, comprising (i) the cortical lobes (frontal, temporal, parietal and occipital lobes); (ii) the basal ganglia (..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council (ARC) Strategic Award Grant of the Ageing Well, Ageing Productively Program


Awarded by Centre of Research Excellence Grant from the NHMRC


Funding Acknowledgements

OATS was supported by the National Health and Medical Research Council (NHMRC) and Australian Research Council (ARC) Strategic Award Grant of the Ageing Well, Ageing Productively Program (ID No. 401126). This research was facilitated through the Australian Twin Registry a national research resource in part supported by a Centre of Research Excellence Grant from the NHMRC (ID No. 1079102). We thank all current and past members of the OATS Collaborative Team: New South Wales (Jocelyn Bowden, Julian Trollor, Henry Brodaty, John Crawford, Tanya Duckworth, Kristan Kang, Fiona Kumfor, Andrea Lammel, Alissa Nichles, Peter Schofield, Alison Walker, Shaily Aggarwal, Caroline Arasartnam), Queensland (Mark Strudwick, Katie McMahon, Harry Beeby, Anthony Caracella, Natalie Garden, Anjali Henders, Nick Martin, Clare Redfern, Amanda Toivanen), and Victoria (Nicholas Cortes, Karla Elliott, Christel Lemmon, Simone Mangelsdorf, Gihan de Mel, Tabitha Nash, Stacey Walker, Alex Connelly). We also thank all the participants for their kind contributions to this study. This research was undertaken with the assistance of resources from the National Computational Infrastructure (NCI), which is supported by the Australian Government. We would also like to thank and acknowledge the editorial assistance of Sophia Dean in the preparation of the manuscript.