Common genetic variation influencing human white matter microstructure

Author:

Zhao Bingxin1ORCID,Li Tengfei23ORCID,Yang Yue4ORCID,Wang Xifeng4ORCID,Luo Tianyou4,Shan Yue4,Zhu Ziliang4,Xiong Di4,Hauberg Mads E.5678ORCID,Bendl Jaroslav569ORCID,Fullard John F.569ORCID,Roussos Panagiotis56910ORCID,Li Yun41112ORCID,Stein Jason L.1113ORCID,Zhu Hongtu34ORCID

Affiliation:

1. Department of Statistics, Purdue University, West Lafayette, IN 47907, USA.

2. Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

3. Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

4. Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

5. Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

6. Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

7. iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, 8210 Aarhus, Denmark.

8. Centre for Integrative Sequencing (iSEQ), Aarhus University, 8000 Aarhus, Denmark.

9. Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

10. Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, NY 10468, USA.

11. Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

12. Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

13. UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

Abstract

Connecting the dots on white matter The white matter of the brain, which is composed of axonal tracts connecting different brain regions, plays key roles in both normal brain function and a variety of neurological disorders. Zhao et al. combined detailed magnetic resonance imaging–based assessment of brain structures with genetic data on nearly 44,000 individuals (see the Perspective by Filley). On the basis of this comprehensive analysis, the authors identified structural and genetic abnormalities associated with neurological and psychiatric disorders, as well as some nondisease traits, thus creating a valuable resource and providing some insights into the underlying neurobiology. Science , abf3736, this issue p. eabf3736 ; see also abj1881, p. 1265

Funder

National Institutes of Health

Veterans Affairs Merit

NIH Office of the Director

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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