Mapping heritability and molecular genetic associations with cortical features using probabilistic brain atlases: methods and applications to schizophrenia.

TitleMapping heritability and molecular genetic associations with cortical features using probabilistic brain atlases: methods and applications to schizophrenia.
Publication TypeJournal Article
Year of Publication2006
AuthorsCannon, TD, Thompson PM, van Erp TGM, Huttunen M, Lonnqvist J, Kaprio J, Toga AW
JournalNeuroinformatics
Volume4
Issue1
Pagination5-19
Date Published2006 Winter
ISSN1539-2791
KeywordsAlgorithms, Anatomy, Artistic, Brain Mapping, cerebral cortex, Chromosome Mapping, Genetic Predisposition to Disease, Humans, Inheritance Patterns, Medical Illustration, Models, Statistical, Polymorphism, Genetic, Schizophrenia, Twins, Dizygotic, Twins, Monozygotic
Abstract

There is an urgent need to decipher the complex nature of genotype-phenotype relationships within the multiple dimensions of brain structure and function that are compromised in neuropsychiatric syndromes such as schizophrenia. Doing so requires sophisticated methodologies to represent population variability in neural traits and to probe their heritable and molecular genetic bases. We have recently developed and applied computational algorithms to map the heritability of, as well as genetic linkage and association to, neural features encoded using brain imaging in the context of three-dimensional (3D), populationbased, statistical brain atlases. One set of algorithms builds on our prior work using classical twin study methods to estimate heritability by fitting biometrical models for additive genetic, unique, and common environmental influences. Another set of algorithms performs regression-based (Haseman-Elston) identical-bydescent linkage analysis and genetic association analysis of DNA polymorphisms in relation to neural traits of interest in the same 3D population-based brain atlas format. We demonstrate these approaches using samples of healthy monozygotic (MZ) and dizygotic (DZ) twin pairs, as well as MZ and DZ twin pairs discordant for schizophrenia, but the methods can be generalized to other classes of relatives and to other diseases. The results confirm prior evidence of genetic influences on gray matter density in frontal brain regions. They also provide converging evidence that the chromosome 1q42 region is relevant to schizophrenia by demonstrating linkage and association of markers of the Transelin-Associated-Factor-X and Disrupted-In- Schizophrenia-1 genes with prefrontal cortical gray matter deficits in twins discordant for schizophrenia.

DOI10.1111/j.1751-7893.2008.00088.x
Alternate JournalNeuroinformatics