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| PMID |
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| TITLE |
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| DIFFUSION IMAGING PROTOCOL EFFECTS ON GENETIC ASSOCIATIONS. |
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| ABSTRACT |
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| Large multi-site image-analysis studies have successfully discovered genetic variants that affect brain structure in tens of thousands of subjects scanned worldwide. Candidate genes have also associated with brain integrity, measured using fractional anisotropy in diffusion tensor images (DTI). To evaluate the heritability and robustness of DTI measures as a target for genetic analysis, we compared 417 twins and siblings scanned on the same day on the same high field scanner (4-Tesla) with two protocols: (1) 94-directions; 2mm-thick slices, (2) 27-directions; 5mm-thickness. Using mean FA in white matter ROIs and FA 'skeletons' derived using FSL, we (1) examined differences in voxelwise means, variances, and correlations among the measures; and (2) assessed heritability with structural equation models, using the classical twin design. FA measures from the genu of the corpus callosum were highly heritable, regardless of protocol. Genome-wide analysis of the genu mean FA revealed differences across protocols in the top associations. |
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| DATE PUBLISHED |
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| HISTORY |
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| PUBSTATUS |
PUBSTATUSDATE |
| entrez |
2012/08/21 06:00 |
| pubmed |
2012/08/21 06:00 |
| medline |
2012/08/21 06:00 |
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| AUTHORS |
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| NAME |
COLLECTIVENAME |
LASTNAME |
FORENAME |
INITIALS |
AFFILIATION |
AFFILIATIONINFO |
| Jahanshad N |
|
Jahanshad |
Neda |
N |
|
Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA. |
| Kohannim O |
|
Kohannim |
Omid |
O |
|
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| Toga AW |
|
Toga |
Arthur W |
AW |
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| McMahon KL |
|
McMahon |
Katie L |
KL |
|
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| de Zubicaray GI |
|
de Zubicaray |
Greig I |
GI |
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| Hansell NK |
|
Hansell |
Narelle K |
NK |
|
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| Montgomery GW |
|
Montgomery |
Grant W |
GW |
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| Martin NG |
|
Martin |
Nicholas G |
NG |
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| Wright MJ |
|
Wright |
Margaret J |
MJ |
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| Thompson PM |
|
Thompson |
Paul M |
PM |
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| INVESTIGATORS |
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| JOURNAL |
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| VOLUME: |
| 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: 2012 |
| MONTH: |
| DAY: |
| MEDLINEDATE: |
| SEASON: |
| CITEDMEDIUM: Print |
| ISSN: |
| ISSNTYPE: |
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| MEDLINE JOURNAL |
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| MEDLINETA: Proc IEEE Int Symp Biomed Imaging |
| COUNTRY: United States |
| ISSNLINKING: 1945-7928 |
| NLMUNIQUEID: 101492570 |
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| PUBLICATION TYPE |
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| PUBLICATIONTYPE TEXT |
| JOURNAL ARTICLE |
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| COMMENTS AND CORRECTIONS |
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| GRANTS |
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| GRANTID |
AGENCY |
COUNTRY |
| F30 AG041681 |
NIA NIH HHS |
United States |
| P41 RR013642 |
NCRR NIH HHS |
United States |
| R01 AG040060 |
NIA NIH HHS |
United States |
| R01 EB008281 |
NIBIB NIH HHS |
United States |
| R01 HD050735 |
NICHD NIH HHS |
United States |
| T32 GM008042 |
NIGMS NIH HHS |
United States |
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| GENERAL NOTE |
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| KEYWORDS |
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| MESH HEADINGS |
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| SUPPLEMENTARY MESH |
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| GENE SYMBOLS |
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| CHEMICALS |
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