IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v7y2016i1d10.1038_ncomms13291.html
   My bibliography  Save this article

Multidimensional heritability analysis of neuroanatomical shape

Author

Listed:
  • Tian Ge

    (Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School
    Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital
    Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard)

  • Martin Reuter

    (Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology)

  • Anderson M. Winkler

    (Centre for Functional MRI of the Brain (FMRIB), University of Oxford)

  • Avram J. Holmes

    (Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School
    Yale University
    Massachusetts General Hospital/Harvard Medical School)

  • Phil H. Lee

    (Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital
    Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard)

  • Lee S. Tirrell

    (Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School)

  • Joshua L. Roffman

    (Massachusetts General Hospital/Harvard Medical School)

  • Randy L. Buckner

    (Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School
    Massachusetts General Hospital/Harvard Medical School
    Harvard University)

  • Jordan W. Smoller

    (Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital
    Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard)

  • Mert R. Sabuncu

    (Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology)

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.

Suggested Citation

  • Tian Ge & Martin Reuter & Anderson M. Winkler & Avram J. Holmes & Phil H. Lee & Lee S. Tirrell & Joshua L. Roffman & Randy L. Buckner & Jordan W. Smoller & Mert R. Sabuncu, 2016. "Multidimensional heritability analysis of neuroanatomical shape," Nature Communications, Nature, vol. 7(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13291
    DOI: 10.1038/ncomms13291
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms13291
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms13291?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Junjiao Feng & Liang Zhang & Chunhui Chen & Jintao Sheng & Zhifang Ye & Kanyin Feng & Jing Liu & Ying Cai & Bi Zhu & Zhaoxia Yu & Chuansheng Chen & Qi Dong & Gui Xue, 2022. "A cognitive neurogenetic approach to uncovering the structure of executive functions," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    2. Chun Chieh Fan & Robert Loughnan & Carolina Makowski & Diliana Pecheva & Chi-Hua Chen & Donald J. Hagler & Wesley K. Thompson & Nadine Parker & Dennis van der Meer & Oleksandr Frei & Ole A. Andreassen, 2022. "Multivariate genome-wide association study on tissue-sensitive diffusion metrics highlights pathways that shape the human brain," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13291. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.