Genetic Epidemiology, Psychiatric Genetics, Asthma Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
26413204
TITLE
HERITABILITY OF BRAIN NETWORK TOPOLOGY IN 853 TWINS AND SIBLINGS.
ABSTRACT
NlmCategory: UNASSIGNED
Anatomical brain networks change throughout life and with diseases. Genetic analysis of these networks may help identify processes giving rise to heritable brain disorders, but we do not yet know which network measures are promising for genetic analyses. Many factors affect the downstream results, such as the tractography algorithm used to define structural connectivity. We tested nine different tractography algorithms and four normalization methods to compute brain networks for 853 young healthy adults (twins and their siblings). We fitted genetic structural equation models to all nine network measures, after a normalization step to increase network consistency across tractography algorithms. Probabilistic tractography algorithms with global optimization (such as Probtrackx and Hough) yielded higher heritability statistics than "greedy" algorithms (such as FACT) which process small neighborhoods at each step. Some global network measures (probtrackx-derived GLOB and ST) showed significant genetic effects, making them attractive targets for genome-wide association studies.
DATE PUBLISHED
2015 Apr
HISTORY
PUBSTATUS PUBSTATUSDATE
entrez 2015/09/29 06:00
pubmed 2015/09/29 06:00
medline 2015/09/29 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Zhan L Zhan L L Dept. of Neurology, University of California, Los Angeles, CA 90095, USA ; Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA.
Jahanshad N Jahanshad N N Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA.
Faskowitz J Faskowitz J J Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA.
Zhu D Zhu D D Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA.
Prasad G Prasad G G Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA.
Martin NG Martin N G NG QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia.
de Zubicaray GI de Zubicaray G I GI School of Psychology, University of Queensland, Brisbane, QLD 4072, Australia.
McMahon KL McMahon K L KL Centre for Advanced Imaging, University of Queensland, Brisbane, QLD 4072, Australia.
Wright MJ Wright M J MJ QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia.
Thompson PM Thompson P M PM Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, CA 90292, USA.
INVESTIGATORS
JOURNAL
VOLUME: 2015
ISSUE:
TITLE: Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging
ISOABBREVIATION: Proc IEEE Int Symp Biomed Imaging
YEAR: 2015
MONTH: Apr
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Print
ISSN: 1945-7928
ISSNTYPE: Print
MEDLINE JOURNAL
MEDLINETA: Proc IEEE Int Symp Biomed Imaging
COUNTRY: United States
ISSNLINKING: 1945-7928
NLMUNIQUEID: 101492570
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
JOURNAL ARTICLE
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
KEYWORD
Brain Network
ICC
Normalization
Tractography
diffusion MRI
MESH HEADINGS
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's