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...
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| Format: | Article |
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Elsevier
2015
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| Online Access: | https://eprints.nottingham.ac.uk/52871/ |
| _version_ | 1848798828955697152 |
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| author | 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 Lemaitre, Hervé den Braber, Anouk Zwiers, Marcel P. Ritchie, Stuart van Hulzen, Kimm Almasy, Laura Curran, Joanne deZubicaray, Greig I. Duggirala, Ravi Fox, Peter Martin, Nicholas G. McMahon, Katie L. Mitchell, Braxton Olvera, Rene L. Peterson, Charles Starr, John Sussmann, Jessika Wardlaw, Joanna Wright, Margie Boomsma, Dorret I. Kahn, Rene de Geus, Eco J.C. Williamson, Douglas E. Hariri, Ahmad van 't Ent, Dennis Bastin, Mark E. McIntosh, Andrew Deary, Ian J. Hulshoff pol, Hilleke E. Blangero, John Thompson, Paul M. Glahn, David C. Van Essen, David C. |
| author_facet | 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 Lemaitre, Hervé den Braber, Anouk Zwiers, Marcel P. Ritchie, Stuart van Hulzen, Kimm Almasy, Laura Curran, Joanne deZubicaray, Greig I. Duggirala, Ravi Fox, Peter Martin, Nicholas G. McMahon, Katie L. Mitchell, Braxton Olvera, Rene L. Peterson, Charles Starr, John Sussmann, Jessika Wardlaw, Joanna Wright, Margie Boomsma, Dorret I. Kahn, Rene de Geus, Eco J.C. Williamson, Douglas E. Hariri, Ahmad van 't Ent, Dennis Bastin, Mark E. McIntosh, Andrew Deary, Ian J. Hulshoff pol, Hilleke E. Blangero, John Thompson, Paul M. Glahn, David C. Van Essen, David C. |
| author_sort | Kochunov, Peter |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| 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 from five-family based studies across the US, Europe, and Australia. FA measurements from the HCP cohort for eleven major white matter tracts were highly heritable (h2 = 0.53–0.90, p < 10− 5), and were significantly correlated with the joint-analytical estimates from the ENIGMA cohort on the tract and voxel-wise levels. The similarity in regional heritability suggests that the additive genetic contribution to white matter microstructure is consistent across populations and imaging acquisition parameters. It also suggests that the overarching genetic influence provides an opportunity to define a common genetic search space for future gene-discovery studies. Uniquely, the measurements of additive genetic contribution performed in this study can be repeated using online genetic analysis tools provided by the HCP ConnectomeDB web application. |
| first_indexed | 2025-11-14T20:25:59Z |
| format | Article |
| id | nottingham-52871 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:25:59Z |
| publishDate | 2015 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-528712020-05-04T17:05:23Z https://eprints.nottingham.ac.uk/52871/ Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI data 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 Lemaitre, Hervé den Braber, Anouk Zwiers, Marcel P. Ritchie, Stuart van Hulzen, Kimm Almasy, Laura Curran, Joanne deZubicaray, Greig I. Duggirala, Ravi Fox, Peter Martin, Nicholas G. McMahon, Katie L. Mitchell, Braxton Olvera, Rene L. Peterson, Charles Starr, John Sussmann, Jessika Wardlaw, Joanna Wright, Margie Boomsma, Dorret I. Kahn, Rene de Geus, Eco J.C. Williamson, Douglas E. Hariri, Ahmad van 't Ent, Dennis Bastin, Mark E. McIntosh, Andrew Deary, Ian J. Hulshoff pol, Hilleke E. Blangero, John Thompson, Paul M. Glahn, David C. Van Essen, David C. 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 from five-family based studies across the US, Europe, and Australia. FA measurements from the HCP cohort for eleven major white matter tracts were highly heritable (h2 = 0.53–0.90, p < 10− 5), and were significantly correlated with the joint-analytical estimates from the ENIGMA cohort on the tract and voxel-wise levels. The similarity in regional heritability suggests that the additive genetic contribution to white matter microstructure is consistent across populations and imaging acquisition parameters. It also suggests that the overarching genetic influence provides an opportunity to define a common genetic search space for future gene-discovery studies. Uniquely, the measurements of additive genetic contribution performed in this study can be repeated using online genetic analysis tools provided by the HCP ConnectomeDB web application. Elsevier 2015-05-01 Article PeerReviewed 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, Lemaitre, Hervé, den Braber, Anouk, Zwiers, Marcel P., Ritchie, Stuart, van Hulzen, Kimm, Almasy, Laura, Curran, Joanne, deZubicaray, Greig I., Duggirala, Ravi, Fox, Peter, Martin, Nicholas G., McMahon, Katie L., Mitchell, Braxton, Olvera, Rene L., Peterson, Charles, Starr, John, Sussmann, Jessika, Wardlaw, Joanna, Wright, Margie, Boomsma, Dorret I., Kahn, Rene, de Geus, Eco J.C., Williamson, Douglas E., Hariri, Ahmad, van 't Ent, Dennis, Bastin, Mark E., McIntosh, Andrew, Deary, Ian J., Hulshoff pol, Hilleke E., Blangero, John, Thompson, Paul M., Glahn, David C. and Van Essen, David C. (2015) Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI data. NeuroImage, 111 . pp. 300-311. ISSN 1053-8119 https://www.sciencedirect.com/science/article/pii/S1053811915001512?via%3Dihub doi:10.1016/j.neuroimage.2015.02.050 doi:10.1016/j.neuroimage.2015.02.050 |
| spellingShingle | 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 Lemaitre, Hervé den Braber, Anouk Zwiers, Marcel P. Ritchie, Stuart van Hulzen, Kimm Almasy, Laura Curran, Joanne deZubicaray, Greig I. Duggirala, Ravi Fox, Peter Martin, Nicholas G. McMahon, Katie L. Mitchell, Braxton Olvera, Rene L. Peterson, Charles Starr, John Sussmann, Jessika Wardlaw, Joanna Wright, Margie Boomsma, Dorret I. Kahn, Rene de Geus, Eco J.C. Williamson, Douglas E. Hariri, Ahmad van 't Ent, Dennis Bastin, Mark E. McIntosh, Andrew Deary, Ian J. Hulshoff pol, Hilleke E. Blangero, John Thompson, Paul M. Glahn, David C. Van Essen, David C. Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI data |
| title | Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI data |
| title_full | Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI data |
| title_fullStr | Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI data |
| title_full_unstemmed | Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI data |
| title_short | Heritability of fractional anisotropy in human white matter: a comparison of Human Connectome Project and ENIGMA-DTI data |
| title_sort | heritability of fractional anisotropy in human white matter: a comparison of human connectome project and enigma-dti data |
| url | https://eprints.nottingham.ac.uk/52871/ https://eprints.nottingham.ac.uk/52871/ https://eprints.nottingham.ac.uk/52871/ |