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Gray matter heritability in family-based and population-based studies using voxel-based morphometry. / van der Lee, Sven J.; Roshchupkin, Gennady V.; Adams, Hieab H.; Schmidt, Helena; Hofer, Edith; Saba, Yasaman; Schmidt, Reinhold; Hofman, Albert; Amin, Najaf; van Duijn, Cornelia M.; Vernooij, Meike W.; Ikram, M. Arfan; Niessen, Wiro J.

In: Human Brain Mapping, Vol. 38, No. 5, 01.05.2017, p. 2408-2423.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

van der Lee, SJ, Roshchupkin, GV, Adams, HH, Schmidt, H, Hofer, E, Saba, Y, Schmidt, R, Hofman, A, Amin, N, van Duijn, CM, Vernooij, MW, Ikram, MA & Niessen, WJ 2017, 'Gray matter heritability in family-based and population-based studies using voxel-based morphometry' Human Brain Mapping, vol. 38, no. 5, pp. 2408-2423. https://doi.org/10.1002/hbm.23528

APA

van der Lee, S. J., Roshchupkin, G. V., Adams, H. H., Schmidt, H., Hofer, E., Saba, Y., ... Niessen, W. J. (2017). Gray matter heritability in family-based and population-based studies using voxel-based morphometry. Human Brain Mapping, 38(5), 2408-2423. https://doi.org/10.1002/hbm.23528

Vancouver

van der Lee SJ, Roshchupkin GV, Adams HH, Schmidt H, Hofer E, Saba Y et al. Gray matter heritability in family-based and population-based studies using voxel-based morphometry. Human Brain Mapping. 2017 May 1;38(5):2408-2423. https://doi.org/10.1002/hbm.23528

Author

van der Lee, Sven J. ; Roshchupkin, Gennady V. ; Adams, Hieab H. ; Schmidt, Helena ; Hofer, Edith ; Saba, Yasaman ; Schmidt, Reinhold ; Hofman, Albert ; Amin, Najaf ; van Duijn, Cornelia M. ; Vernooij, Meike W. ; Ikram, M. Arfan ; Niessen, Wiro J. / Gray matter heritability in family-based and population-based studies using voxel-based morphometry. In: Human Brain Mapping. 2017 ; Vol. 38, No. 5. pp. 2408-2423.

BibTeX

@article{51544de7fc2b4ebb933aec636f06eea7,
title = "Gray matter heritability in family-based and population-based studies using voxel-based morphometry",
abstract = "Background: The combination of genetics and imaging has improved their understanding of the brain through studies of aggregate measures obtained from high-resolution structural imaging. Voxel-wise analyses have the potential to provide more detailed information of genetic influences on the brain. Here they report a large-scale study of the heritability of gray matter at voxel resolution (1 × 1 × 1 mm). Methods: Validated voxel-based morphometry (VBM) protocols were applied to process magnetic resonance imaging data of 3,239 unrelated subjects from a population-based study and 491 subjects from two family-based studies. Genome-wide genetic data was used to estimate voxel-wise gray matter heritability of the unrelated subjects and pedigree-structure was used to estimate heritability in families. They subsequently associated two genetic variants, known to be linked with subcortical brain volume, with most heritable voxels to determine if this would enhance their association signals. Results: Voxels significantly heritable in both estimates mapped to subcortical structures, but also voxels in the language areas of the left hemisphere were found significantly heritable. When comparing regional patterns of heritability, family-based estimates were higher than population-based estimates. However, regional consistency of the heritability measures across study designs was high (Pearson's correlation coefficient = 0.73, P = 2.6 × 10−13). They further show enhancement of the association signal of two previously discovered genetic loci with subcortical volume by using only the most heritable voxels. Conclusion: Gray matter voxel-wise heritability can be reliably estimated with different methods. Combining heritability estimates from multiple studies is feasible to construct reliable heritability maps of gray matter voxels. Hum Brain Mapp 38:2408–2423, 2017.",
keywords = "brain structure heritability, family-based study, genetics, gray matter, magnetic resonance imaging, population-based study, voxel-based morphometry, grey matter",
author = "{van der Lee}, {Sven J.} and Roshchupkin, {Gennady V.} and Adams, {Hieab H.} and Helena Schmidt and Edith Hofer and Yasaman Saba and Reinhold Schmidt and Albert Hofman and Najaf Amin and {van Duijn}, {Cornelia M.} and Vernooij, {Meike W.} and Ikram, {M. Arfan} and Niessen, {Wiro J.}",
year = "2017",
month = "5",
day = "1",
doi = "10.1002/hbm.23528",
language = "English",
volume = "38",
pages = "2408--2423",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley-Liss Inc.",
number = "5",

}

RIS

TY - JOUR

T1 - Gray matter heritability in family-based and population-based studies using voxel-based morphometry

AU - van der Lee, Sven J.

AU - Roshchupkin, Gennady V.

AU - Adams, Hieab H.

AU - Schmidt, Helena

AU - Hofer, Edith

AU - Saba, Yasaman

AU - Schmidt, Reinhold

AU - Hofman, Albert

AU - Amin, Najaf

AU - van Duijn, Cornelia M.

AU - Vernooij, Meike W.

AU - Ikram, M. Arfan

AU - Niessen, Wiro J.

PY - 2017/5/1

Y1 - 2017/5/1

N2 - Background: The combination of genetics and imaging has improved their understanding of the brain through studies of aggregate measures obtained from high-resolution structural imaging. Voxel-wise analyses have the potential to provide more detailed information of genetic influences on the brain. Here they report a large-scale study of the heritability of gray matter at voxel resolution (1 × 1 × 1 mm). Methods: Validated voxel-based morphometry (VBM) protocols were applied to process magnetic resonance imaging data of 3,239 unrelated subjects from a population-based study and 491 subjects from two family-based studies. Genome-wide genetic data was used to estimate voxel-wise gray matter heritability of the unrelated subjects and pedigree-structure was used to estimate heritability in families. They subsequently associated two genetic variants, known to be linked with subcortical brain volume, with most heritable voxels to determine if this would enhance their association signals. Results: Voxels significantly heritable in both estimates mapped to subcortical structures, but also voxels in the language areas of the left hemisphere were found significantly heritable. When comparing regional patterns of heritability, family-based estimates were higher than population-based estimates. However, regional consistency of the heritability measures across study designs was high (Pearson's correlation coefficient = 0.73, P = 2.6 × 10−13). They further show enhancement of the association signal of two previously discovered genetic loci with subcortical volume by using only the most heritable voxels. Conclusion: Gray matter voxel-wise heritability can be reliably estimated with different methods. Combining heritability estimates from multiple studies is feasible to construct reliable heritability maps of gray matter voxels. Hum Brain Mapp 38:2408–2423, 2017.

AB - Background: The combination of genetics and imaging has improved their understanding of the brain through studies of aggregate measures obtained from high-resolution structural imaging. Voxel-wise analyses have the potential to provide more detailed information of genetic influences on the brain. Here they report a large-scale study of the heritability of gray matter at voxel resolution (1 × 1 × 1 mm). Methods: Validated voxel-based morphometry (VBM) protocols were applied to process magnetic resonance imaging data of 3,239 unrelated subjects from a population-based study and 491 subjects from two family-based studies. Genome-wide genetic data was used to estimate voxel-wise gray matter heritability of the unrelated subjects and pedigree-structure was used to estimate heritability in families. They subsequently associated two genetic variants, known to be linked with subcortical brain volume, with most heritable voxels to determine if this would enhance their association signals. Results: Voxels significantly heritable in both estimates mapped to subcortical structures, but also voxels in the language areas of the left hemisphere were found significantly heritable. When comparing regional patterns of heritability, family-based estimates were higher than population-based estimates. However, regional consistency of the heritability measures across study designs was high (Pearson's correlation coefficient = 0.73, P = 2.6 × 10−13). They further show enhancement of the association signal of two previously discovered genetic loci with subcortical volume by using only the most heritable voxels. Conclusion: Gray matter voxel-wise heritability can be reliably estimated with different methods. Combining heritability estimates from multiple studies is feasible to construct reliable heritability maps of gray matter voxels. Hum Brain Mapp 38:2408–2423, 2017.

KW - brain structure heritability

KW - family-based study

KW - genetics

KW - gray matter

KW - magnetic resonance imaging

KW - population-based study

KW - voxel-based morphometry

KW - grey matter

UR - http://resolver.tudelft.nl/uuid:51544de7-fc2b-4ebb-933a-ec636f06eea7

UR - http://www.scopus.com/inward/record.url?scp=85017267278&partnerID=8YFLogxK

U2 - 10.1002/hbm.23528

DO - 10.1002/hbm.23528

M3 - Article

VL - 38

SP - 2408

EP - 2423

JO - Human Brain Mapping

T2 - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

IS - 5

ER -

ID: 33424878