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Multidimensional heritability analysis of neuroanatomical shape

 
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5116071.pdf (594.3Kb)
Author
Ge, TianHARVARD
Reuter, MartinHARVARD
Winkler, Anderson M.
Holmes, Avram J.
Lee, Phil H.HARVARD
Tirrell, Lee S.
Roffman, Joshua L.HARVARD
Buckner, Randy L.HARVARD
Smoller, Jordan W.HARVARD
Sabuncu, Mert R.HARVARD
Published Version
https://doi.org/10.1038/ncomms13291
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Citation
Ge, Tian, Martin Reuter, Anderson M. Winkler, Avram J. Holmes, Phil H. Lee, Lee S. Tirrell, Joshua L. Roffman, Randy L. Buckner, Jordan W. Smoller, and Mert R. Sabuncu. 2016. “Multidimensional heritability analysis of neuroanatomical shape.” Nature Communications 7 (1): 13291. doi:10.1038/ncomms13291. http://dx.doi.org/10.1038/ncomms13291.
Abstract
In the dawning era of large-scale biomedical data, multidimensional phenotype vectors will play an increasing role in examining the genetic underpinnings of brain features, behaviour and disease. For example, shape measurements derived from brain MRI scans are multidimensional geometric descriptions of brain structure and provide an alternate class of phenotypes that remains largely unexplored in genetic studies. Here we extend the concept of heritability to multidimensional traits, and present the first comprehensive analysis of the heritability of neuroanatomical shape measurements across an ensemble of brain structures based on genome-wide SNP and MRI data from 1,320 unrelated, young and healthy individuals. We replicate our findings in an extended twin sample from the Human Connectome Project (HCP). Our results demonstrate that neuroanatomical shape can be significantly heritable, above and beyond volume, and can serve as a complementary phenotype to study the genetic determinants and clinical relevance of brain structure.
Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116071/pdf/
Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:30371134

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