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

P. Kochunov; N. Jahanshad; D. Marcus; A. Winkler; E. Sprooten; T.E. Nichols; S.N. Wright; L.E. Hong; B. Patel; T. Behrens; S. Jbabdi; J. Andersson; C. Lenglet; E. Yacoub; S. Moeller; E. Auerbach; K. Ugurbil; S.N. Sotiropoulos; R.M. Brouwer; B. Landman; H. Lemaitre; A. den Braber; M.P. Zwiers; S. Ritchie; K.J.E. van Hulzen; L. Almasy; J. Curran; G.I. de Zubicaray; R. Duggirala; P. Fox; N.G. Martin; K.L. McMahon; B. Mitchell; R.L. Olvera; C. Peterson; J. Starr; J.E. Sussmann; J.M. Wardlaw; M. Wright; D.I. Boomsma; R.S. Kahn; E.J.C. de Geus; D.E. Williamson; A. Hariri; D. van t Ent; M.E. Bastin; A. McIntosh; I.J. Deary; H.E. Hulshoff Pol; J. Blangero; P.M. Thompson; D.C. Glahn; D.C. van Essen

doi:10.1016/j.neuroimage.2015.02.050

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

P. Kochunov
, N. Jahanshad
, D. Marcus
, A. Winkler
, E. Sprooten
, T.E. Nichols
, S.N. Wright
, L.E. Hong
, B. Patel
, T. Behrens
, S. Jbabdi
, J. Andersson
, C. Lenglet
, E. Yacoub
, S. Moeller
, E. Auerbach
, K. Ugurbil
, S.N. Sotiropoulos
, R.M. Brouwer
, B. Landman

H. Lemaitre, A. den Braber, M.P. Zwiers, S. Ritchie, K.J.E. van Hulzen, L. Almasy, J. Curran, G.I. de Zubicaray, R. Duggirala, P. Fox, N.G. Martin, K.L. McMahon, B. Mitchell, R.L. Olvera, C. Peterson, J. Starr, J.E. Sussmann, J.M. Wardlaw, M. Wright, D.I. Boomsma, R.S. Kahn, E.J.C. de Geus, D.E. Williamson, A. Hariri, D. van t Ent, M.E. Bastin, A. McIntosh, I.J. Deary, H.E. Hulshoff Pol, J. Blangero, P.M. Thompson, D.C. Glahn, D.C. van Essen

Biological Psychology

Research output: Contribution to Journal › Article › Academic › peer-review

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 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 (h

Original language	English
Pages (from-to)	300-311
Number of pages	12
Journal	NeuroImage
Volume	111
DOIs	https://doi.org/10.1016/j.neuroimage.2015.02.050
Publication status	Published - 2015

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10.1016/j.neuroimage.2015.02.050

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Kochunov, P., Jahanshad, N., Marcus, D., Winkler, A., Sprooten, E., Nichols, T. E., Wright, S. N., Hong, L. E., Patel, B., Behrens, T., Jbabdi, S., Andersson, J., Lenglet, C., Yacoub, E., Moeller, S., Auerbach, E., Ugurbil, K., Sotiropoulos, S. N., Brouwer, R. M., ... van Essen, D. C. (2015). Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data. NeuroImage, 111, 300-311. https://doi.org/10.1016/j.neuroimage.2015.02.050

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

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 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 (h",

author = "P. Kochunov and N. Jahanshad and D. Marcus and A. Winkler and E. Sprooten and T.E. Nichols and S.N. Wright and L.E. Hong and B. Patel and T. Behrens and S. Jbabdi and J. Andersson and C. Lenglet and E. Yacoub and S. Moeller and E. Auerbach and K. Ugurbil and S.N. Sotiropoulos and R.M. Brouwer and B. Landman and H. Lemaitre and \{den Braber\}, A. and M.P. Zwiers and S. Ritchie and \{van Hulzen\}, K.J.E. and L. Almasy and J. Curran and \{de Zubicaray\}, G.I. and R. Duggirala and P. Fox and N.G. Martin and K.L. McMahon and B. Mitchell and R.L. Olvera and C. Peterson and J. Starr and J.E. Sussmann and J.M. Wardlaw and M. Wright and D.I. Boomsma and R.S. Kahn and \{de Geus\}, E.J.C. and D.E. Williamson and A. Hariri and \{van t Ent\}, D. and M.E. Bastin and A. McIntosh and I.J. Deary and \{Hulshoff Pol\}, H.E. and J. Blangero and P.M. Thompson and D.C. Glahn and \{van Essen\}, D.C.",

year = "2015",

doi = "10.1016/j.neuroimage.2015.02.050",

language = "English",

volume = "111",

pages = "300--311",

journal = "NeuroImage",

issn = "1053-8119",

publisher = "Academic Press Inc.",

}

Kochunov, P, Jahanshad, N, Marcus, D, Winkler, A, Sprooten, E, Nichols, TE, Wright, SN, Hong, LE, Patel, B, Behrens, T, Jbabdi, S, Andersson, J, Lenglet, C, Yacoub, E, Moeller, S, Auerbach, E, Ugurbil, K, Sotiropoulos, SN, Brouwer, RM, Landman, B, Lemaitre, H, den Braber, A, Zwiers, MP, Ritchie, S, van Hulzen, KJE, Almasy, L, Curran, J, de Zubicaray, GI, Duggirala, R, Fox, P, Martin, NG, McMahon, KL, Mitchell, B, Olvera, RL, Peterson, C, Starr, J, Sussmann, JE, Wardlaw, JM, Wright, M, Boomsma, DI, Kahn, RS, de Geus, EJC, Williamson, DE, Hariri, A, van t Ent, D, Bastin, ME, McIntosh, A, Deary, IJ, Hulshoff Pol, HE, Blangero, J, Thompson, PM, Glahn, DC & van Essen, DC 2015, 'Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data', NeuroImage, vol. 111, pp. 300-311. https://doi.org/10.1016/j.neuroimage.2015.02.050

TY - JOUR

T1 - Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data

AU - Kochunov, P.

AU - Jahanshad, N.

AU - Marcus, D.

AU - Winkler, A.

AU - Sprooten, E.

AU - Nichols, T.E.

AU - Wright, S.N.

AU - Hong, L.E.

AU - Patel, B.

AU - Behrens, T.

AU - Jbabdi, S.

AU - Andersson, J.

AU - Lenglet, C.

AU - Yacoub, E.

AU - Moeller, S.

AU - Auerbach, E.

AU - Ugurbil, K.

AU - Sotiropoulos, S.N.

AU - Brouwer, R.M.

AU - Landman, B.

AU - Lemaitre, H.

AU - den Braber, A.

AU - Zwiers, M.P.

AU - Ritchie, S.

AU - van Hulzen, K.J.E.

AU - Almasy, L.

AU - Curran, J.

AU - de Zubicaray, G.I.

AU - Duggirala, R.

AU - Fox, P.

AU - Martin, N.G.

AU - McMahon, K.L.

AU - Mitchell, B.

AU - Olvera, R.L.

AU - Peterson, C.

AU - Starr, J.

AU - Sussmann, J.E.

AU - Wardlaw, J.M.

AU - Wright, M.

AU - Boomsma, D.I.

AU - Kahn, R.S.

AU - de Geus, E.J.C.

AU - Williamson, D.E.

AU - Hariri, A.

AU - van t Ent, D.

AU - Bastin, M.E.

AU - McIntosh, A.

AU - Deary, I.J.

AU - Hulshoff Pol, H.E.

AU - Blangero, J.

AU - Thompson, P.M.

AU - Glahn, D.C.

AU - van Essen, D.C.

PY - 2015

Y1 - 2015

N2 - 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 (h

AB - 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 (h

U2 - 10.1016/j.neuroimage.2015.02.050

DO - 10.1016/j.neuroimage.2015.02.050

M3 - Article

SN - 1053-8119

VL - 111

SP - 300

EP - 311

JO - NeuroImage

JF - NeuroImage

ER -

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

Abstract

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