Genetic Epidemiology, Translational Neurogenomics, Psychiatric 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
19041405
TITLE
Mapping genetic influences on ventricular structure in twins.
ABSTRACT
Despite substantial progress in measuring the anatomical and functional variability of the human brain, little is known about the genetic and environmental causes of these variations. Here we developed an automated system to visualize genetic and environmental effects on brain structure in large brain MRI databases. We applied our multi-template segmentation approach termed "Multi-Atlas Fluid Image Alignment" to fluidly propagate hand-labeled parameterized surface meshes, labeling the lateral ventricles, in 3D volumetric MRI scans of 76 identical (monozygotic, MZ) twins (38 pairs; mean age=24.6 (SD=1.7)); and 56 same-sex fraternal (dizygotic, DZ) twins (28 pairs; mean age=23.0 (SD=1.8)), scanned as part of a 5-year research study that will eventually study over 1000 subjects. Mesh surfaces were averaged within subjects to minimize segmentation error. We fitted quantitative genetic models at each of 30,000 surface points to measure the proportion of shape variance attributable to (1) genetic differences among subjects, (2) environmental influences unique to each individual, and (3) shared environmental effects. Surface-based statistical maps, derived from path analysis, revealed patterns of heritability, and their significance, in 3D. Path coefficients for the 'ACE' model that best fitted the data indicated significant contributions from genetic factors (A=7.3%), common environment (C=38.9%) and unique environment (E=53.8%) to lateral ventricular volume. Earlier-maturing occipital horn regions may also be more genetically influenced than later-maturing frontal regions. Maps visualized spatially-varying profiles of environmental versus genetic influences. The approach shows promise for automatically measuring gene-environment effects in large image databases.
DATE PUBLISHED
2009 Feb 15
HISTORY
PUBSTATUS PUBSTATUSDATE
received 2008/04/12
revised 2008/10/15
accepted 2008/10/21
aheadofprint 2008/11/07
pubmed 2008/12/02 09:00
medline 2009/03/27 09:00
entrez 2008/12/02 09:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Chou YY Chou Yi-Yu YY Department of Neurology, UCLA School of Medicine, Laboratory of Neuro Imaging, Los Angeles, CA 90095-7332, USA.
Leporé N Leporé Natasha N
Chiang MC Chiang Ming-Chang MC
Avedissian C Avedissian Christina C
Barysheva M Barysheva Marina M
McMahon KL McMahon Katie L KL
de Zubicaray GI de Zubicaray Greig I GI
Meredith M Meredith Matthew M
Wright MJ Wright Margaret J MJ
Toga AW Toga Arthur W AW
Thompson PM Thompson Paul M PM
INVESTIGATORS
JOURNAL
VOLUME: 44
ISSUE: 4
TITLE: NeuroImage
ISOABBREVIATION: Neuroimage
YEAR: 2009
MONTH: Feb
DAY: 15
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1095-9572
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Neuroimage
COUNTRY: United States
ISSNLINKING: 1053-8119
NLMUNIQUEID: 9215515
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Twin Study
COMMENTS AND CORRECTIONS
REFTYPE REFSOURCE REFPMID NOTE
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GRANTS
GRANTID AGENCY COUNTRY
R01 HD050735 NICHD NIH HHS United States
R01 HD050735 NICHD NIH HHS United States
R01 HD050735-02 NICHD NIH HHS United States
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Cerebral Ventricles anatomy & histology
Female anatomy & histology
Humans anatomy & histology
Magnetic Resonance Imaging methods
Male methods
Pilot Projects methods
Reproducibility of Results methods
Sensitivity and Specificity methods
Twins genetics
Young Adult genetics
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's
OTHERID SOURCE
NIHMS133683 NLM
PMC2773138 NLM