Literature DB >> 12553492

Mapping genetic influences on human brain structure.

Paul Thompson1, Tyrone D Cannon, Arthur W Toga.   

Abstract

Recent advances in brain imaging and genetics have empowered the mapping of genetic and environmental influences on the human brain. These techniques shed light on the 'nature/nurture' debate, revealing how genes determine individual differences in intelligence quotient (IQ) or risk for disease. They visualize which aspects of brain structure and function are heritable, and to what degree, linking these features with behavioral or cognitive traits or disease phenotypes. In genetically transmitted disorders such as schizophrenia, patterns of brain structure can be associated with increased disease liability, and sites can be mapped where non-genetic triggers may initiate disease. We recently developed a large-scale computational brain atlas, including data components from the Finnish Twin registry, to store information on individual variations in brain structure and their heritability. Algorithms from random field theory, anatomical modeling, and population genetics were combined to detect a genetic continuum in which brain structure is heavily genetically determined in some areas but not others. These algorithmic advances motivate studies of disease in which the normative atlas acts as a quantitative reference for the heritability of structural differences and deficits in patient populations. The resulting genetic brain maps isolate biological markers for inherited traits and disease susceptibility, which may serve as targets for genetic linkage and association studies. Computational methods from brain imaging and genetics can be fruitfully merged, to shed light on the inheritance of personality differences and behavioral traits, and the genetic transmission of diseases that affect the human brain.

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Mesh:

Year:  2002        PMID: 12553492     DOI: 10.1080/078538902321117733

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   4.709


  29 in total

Review 1.  Adaptation, expertise, and giftedness: towards an understanding of cortical, subcortical, and cerebellar network contributions.

Authors:  Leonard F Koziol; Deborah Ely Budding; Dana Chidekel
Journal:  Cerebellum       Date:  2010-12       Impact factor: 3.847

2.  Ensemble sparse classification of Alzheimer's disease.

Authors:  Manhua Liu; Daoqiang Zhang; Dinggang Shen
Journal:  Neuroimage       Date:  2012-01-14       Impact factor: 6.556

3.  TwinMARM: two-stage multiscale adaptive regression methods for twin neuroimaging data.

Authors:  Yimei Li; John H Gilmore; Jiaping Wang; Martin Styner; Weili Lin; Hongtu Zhu
Journal:  IEEE Trans Med Imaging       Date:  2012-01-24       Impact factor: 10.048

Review 4.  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 5.  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

6.  A statistical analysis of brain morphology using wild bootstrapping.

Authors:  Hongtu Zhu; Joseph G Ibrahim; Niansheng Tang; Daniel B Rowe; Xuejun Hao; Ravi Bansal; Bradley S Peterson
Journal:  IEEE Trans Med Imaging       Date:  2007-07       Impact factor: 10.048

7.  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

8.  Age-Related Differences in Brain Morphology and the Modifiers in Middle-Aged and Older Adults.

Authors:  Lu Zhao; William Matloff; Kaida Ning; Hosung Kim; Ivo D Dinov; Arthur W Toga
Journal:  Cereb Cortex       Date:  2019-09-13       Impact factor: 5.357

Review 9.  Neural phenotypes of common and rare genetic variants.

Authors:  Carrie E Bearden; David C Glahn; Agatha D Lee; Ming-Chang Chiang; Theo G M van Erp; Tyrone D Cannon; Allan L Reiss; Arthur W Toga; Paul M Thompson
Journal:  Biol Psychol       Date:  2008-02-23       Impact factor: 3.251

10.  Mapping the regional influence of genetics on brain structure variability--a tensor-based morphometry study.

Authors:  Caroline C Brun; Natasha Leporé; Xavier Pennec; Agatha D Lee; Marina Barysheva; Sarah K Madsen; Christina Avedissian; Yi-Yu Chou; Greig I de Zubicaray; Katie L McMahon; Margaret J Wright; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2009-05-14       Impact factor: 6.556

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