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

Anderson M. Winkler, Peter Kochunov, John C Blangero, Laura A Almasy, Karl Zilles, Peter T. Fox, Ravindranath Duggirala, David C. Glahn

Research output: Contribution to journalArticlepeer-review

678 Scopus citations


Choosing the appropriate neuroimaging phenotype is critical to successfully identify genes that influence brain structure or function. While neuroimaging methods provide numerous potential phenotypes, their role for imaging genetics studies is unclear. Here we examine the relationship between brain volume, grey matter volume, cortical thickness and surface area, from a genetic standpoint. Four hundred and eighty-six individuals from randomly ascertained extended pedigrees with high-quality T1-weighted neuroanatomic MRI images participated in the study. Surface-based and voxel-based representations of brain structure were derived, using automated methods, and these measurements were analysed using a variance-components method to identify the heritability of these traits and their genetic correlations. All neuroanatomic traits were significantly influenced by genetic factors. Cortical thickness and surface area measurements were found to be genetically and phenotypically independent. While both thickness and area influenced volume measurements of cortical grey matter, volume was more closely related to surface area than cortical thickness. This trend was observed for both the volume-based and surface-based techniques. The results suggest that surface area and cortical thickness measurements should be considered separately and preferred over gray matter volumes for imaging genetic studies.

Original languageEnglish (US)
Pages (from-to)1135-1146
Number of pages12
Issue number3
StatePublished - Nov 2010


  • Brain cortical thickness
  • Brain surface area
  • Heritability

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience


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