Partitioning variance in cortical morphometry into genetic, environmental, and subject-specific components

被引：0

作者：

Smith, Diana M. ^{[1
,2
,3
,14
]}

Parekh, Pravesh ^{[5
]}

Kennedy, Joseph ^{[3
,4
]}

Loughnan, Robert ^{[6
]}

Frei, Oleksandr ^{[5
,7
]}

Nichols, Thomas E. ^{[8
,9
]}

Andreassen, Ole A.

Jernigan, Terry L. ^{[3
,10
,11
,12
]}

Dale, Anders M. ^{[10
,11
,12
,13
]}

机构：

[1] Univ Calif San Diego, Med Scientist Training Program, 9500 Gilman Dr, La Jolla, CA 92093 USA

[2] Univ Calif San Diego, Neurosci Grad Program, 9500 Gilman Dr, La Jolla, CA 92093 USA

[3] Univ Calif San Diego, Ctr Human Dev, 9500 Gilman Dr, La Jolla, CA 92093 USA

[4] Univ Calif San Diego, Sch Med, Ctr Multimodal Imaging & Genet, 9500 Gilman Dr, La Jolla, CA 92093 USA

[5] Univ Oslo, Oslo Univ Hosp & Inst Clin Med, NORMENT, Problemveien 11, N-0313 Oslo, Norway

[6] Univ Calif San Diego, Populat Neurosci & Genet Lab, 9500 Gilman Dr, La Jolla, CA 92093 USA

[7] Univ Oslo, Ctr Bioinformat, Problemveien 11, N-0313 Oslo, Norway

[8] Univ Oxford, Big Data Inst, Li Ka Shing Ctr Hlth Informat & Discovery, Nuffield Dept Populat Hlth, Old Rd Campus, Oxford OX3 7FZ, England

[9] John Radcliffe Hosp, Wellcome Ctr Integrat Neuroimaging, Nuffield Dept Clin Neurosci, FMRIB, Oxford OX3 9DU, England

[10] Univ Calif San Diego, Dept Cognit Sci, 9500 Gilman Dr, La Jolla, CA 92093 USA

[11] Univ Calif San Diego, Sch Med, Dept Radiol, 9500 Gilman Dr, La Jolla, CA 92093 USA

[12] Univ Calif San Diego, Sch Med, Dept Psychiat, 9500 Gilman Dr, La Jolla, CA 92093 USA

[13] Univ Calif San Diego, Sch Med, Dept Neurosci, 9500 Gilman Dr, La Jolla, CA 92093 USA

[14] Univ Calif San Diego, Med Scientist Training Program, 9500 Gilman Dr, Mail Code 0606, La Jolla, CA 92092 USA

来源：

CEREBRAL CORTEX | 2024年 / 34卷 / 06期

基金：

美国国家卫生研究院;

关键词：

mixed effects models; heritability; intra-class correlation; SURFACE-BASED ANALYSIS; HUMAN CEREBRAL-CORTEX; GEOMETRICALLY ACCURATE; MRI; AREA; SEGMENTATION; NEUROSCIENCE; THICKNESS; SYSTEM;

D O I：

10.1093/cercor/bhae234

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

The relative contributions of genetic variation and experience in shaping the morphology of the adolescent brain are not fully understood. Using longitudinal data from 11,665 subjects in the ABCD Study, we fit vertex-wise variance components including family effects, genetic effects, and subject-level effects using a computationally efficient framework. Variance in cortical thickness and surface area is largely attributable to genetic influence, whereas sulcal depth is primarily explained by subject-level effects. Our results identify areas with heterogeneous distributions of heritability estimates that have not been seen in previous work using data from cortical regions. We discuss the biological importance of subject-specific variance and its implications for environmental influences on cortical development and maturation.

引用

页数：9

共 11 条

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Meng, Yu
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HUMAN BRAIN MAPPING, 2016, 37 (11) : 4129 - 4147
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MEDICAL COMPUTER VISION: ALGORITHMS FOR BIG DATA, 2016, 9601 : 83 - 92
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BMC GENETICS, 2012, 13
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JOURNAL OF ANIMAL SCIENCE, 2010, 88 (11) : 3513 - 3521
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IEEE TRANSACTIONS ON MEDICAL IMAGING, 2018, 37 (12) : 2651 - 2662
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