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Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data

The degree to which genetic factors influence brain connectivity is beginning to be understood. Large-scale efforts are underway to map the profile of genetic effects in various brain regions. The NIH-funded Human Connectome Project (HCP) is providing data valuable for analyzing the degree of geneti... Full description

Journal Title: NeuroImage 01 May 2015, Vol.111, pp.300-311
Main Author: Kochunov, Peter
Other Authors: Jahanshad, Neda , Marcus, Daniel , Winkler, Anderson , Sprooten, Emma , Nichols, Thomas E , Wright, Susan N , Hong, L. Elliot , Patel, Binish , Behrens, Timothy , Jbabdi, Saad , Andersson, Jesper , Lenglet, Christophe , Yacoub, Essa , Moeller, Steen , Auerbach, Eddie , Ugurbil, Kamil , Sotiropoulos, Stamatios N , Brouwer, Rachel M , Landman, Bennett
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 1053-8119 ; E-ISSN: 1095-9572 ; DOI: 10.1016/j.neuroimage.2015.02.050
Link: https://www.sciencedirect.com/science/article/pii/S1053811915001512
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recordid: elsevier_sdoi_10_1016_j_neuroimage_2015_02_050
title: Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data
format: Article
creator:
  • Kochunov, Peter
  • Jahanshad, Neda
  • Marcus, Daniel
  • Winkler, Anderson
  • Sprooten, Emma
  • Nichols, Thomas E
  • Wright, Susan N
  • Hong, L. Elliot
  • Patel, Binish
  • Behrens, Timothy
  • Jbabdi, Saad
  • Andersson, Jesper
  • Lenglet, Christophe
  • Yacoub, Essa
  • Moeller, Steen
  • Auerbach, Eddie
  • Ugurbil, Kamil
  • Sotiropoulos, Stamatios N
  • Brouwer, Rachel M
  • Landman, Bennett
subjects:
  • Medicine
ispartof: NeuroImage, 01 May 2015, Vol.111, pp.300-311
description: The degree to which genetic factors influence brain connectivity is beginning to be understood. Large-scale efforts are underway to map the profile of genetic effects in various brain regions. The NIH-funded Human Connectome Project (HCP) is providing data valuable for analyzing the degree of genetic influence underlying brain connectivity revealed by state-of-the-art neuroimaging methods. We calculated the heritability of the fractional anisotropy (FA) measure derived from diffusion tensor imaging (DTI) reconstruction in 481 HCP subjects (194/287 M/F) consisting of 57/60 pairs of mono- and dizygotic twins, and 246 siblings. FA measurements were derived using (Enhancing NeuroImaging Genetics through Meta-Analysis) ENIGMA DTI protocols and heritability estimates were calculated using the SOLAR-Eclipse imaging genetic analysis package. We compared heritability estimates derived from HCP data to those publicly available through the ENIGMA-DTI consortium, which were pooled together...
language: eng
source:
identifier: ISSN: 1053-8119 ; E-ISSN: 1095-9572 ; DOI: 10.1016/j.neuroimage.2015.02.050
fulltext: fulltext
issn:
  • 1053-8119
  • 10538119
  • 1095-9572
  • 10959572
url: Link


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titleHeritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data
creatorKochunov, Peter ; Jahanshad, Neda ; Marcus, Daniel ; Winkler, Anderson ; Sprooten, Emma ; Nichols, Thomas E ; Wright, Susan N ; Hong, L. Elliot ; Patel, Binish ; Behrens, Timothy ; Jbabdi, Saad ; Andersson, Jesper ; Lenglet, Christophe ; Yacoub, Essa ; Moeller, Steen ; Auerbach, Eddie ; Ugurbil, Kamil ; Sotiropoulos, Stamatios N ; Brouwer, Rachel M ; Landman, Bennett
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descriptionThe degree to which genetic factors influence brain connectivity is beginning to be understood. Large-scale efforts are underway to map the profile of genetic effects in various brain regions. The NIH-funded Human Connectome Project (HCP) is providing data valuable for analyzing the degree of genetic influence underlying brain connectivity revealed by state-of-the-art neuroimaging methods. We calculated the heritability of the fractional anisotropy (FA) measure derived from diffusion tensor imaging (DTI) reconstruction in 481 HCP subjects (194/287 M/F) consisting of 57/60 pairs of mono- and dizygotic twins, and 246 siblings. FA measurements were derived using (Enhancing NeuroImaging Genetics through Meta-Analysis) ENIGMA DTI protocols and heritability estimates were calculated using the SOLAR-Eclipse imaging genetic analysis package. We compared heritability estimates derived from HCP data to those publicly available through the ENIGMA-DTI consortium, which were pooled together...
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description

The degree to which genetic factors influence brain connectivity is beginning to be understood. Large-scale efforts are underway to map the profile of genetic effects in various brain regions. The NIH-funded Human Connectome Project (HCP) is providing data valuable for analyzing the degree of genetic influence underlying brain connectivity revealed by state-of-the-art neuroimaging methods. We calculated the heritability of the fractional anisotropy (FA) measure derived from diffusion tensor imaging (DTI) reconstruction in 481 HCP subjects (194/287 M/F) consisting of 57/60 pairs of mono- and dizygotic twins, and 246 siblings. FA measurements were derived using (Enhancing NeuroImaging Genetics through Meta-Analysis) ENIGMA DTI protocols and heritability estimates were calculated using the SOLAR-Eclipse imaging genetic analysis package. We compared heritability estimates derived from HCP data to those publicly available through the ENIGMA-DTI consortium, which were pooled together...

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abstract

The degree to which genetic factors influence brain connectivity is beginning to be understood. Large-scale efforts are underway to map the profile of genetic effects in various brain regions. The NIH-funded Human Connectome Project (HCP) is providing data valuable for analyzing the degree of genetic influence underlying brain connectivity revealed by state-of-the-art neuroimaging methods. We calculated the heritability of the fractional anisotropy (FA) measure derived from diffusion tensor imaging (DTI) reconstruction in 481 HCP subjects (194/287 M/F) consisting of 57/60 pairs of mono- and dizygotic twins, and 246 siblings. FA measurements were derived using (Enhancing NeuroImaging Genetics through Meta-Analysis) ENIGMA DTI protocols and heritability estimates were calculated using the SOLAR-Eclipse imaging genetic analysis package. We compared heritability estimates derived from HCP data to those publicly available through the ENIGMA-DTI consortium, which were pooled together...

pubElsevier Inc
doi10.1016/j.neuroimage.2015.02.050
lad01NeuroImage
date2015-05-01