Evidence map›Paper›PMID 28145022›Full record

ArticleHuman brain mapping2017

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

Sven J van der Lee, Gennady V Roshchupkin, Hieab H H Adams, Helena Schmidt, Edith Hofer, Yasaman Saba, Reinhold Schmidt, Albert Hofman, Najaf Amin, Cornelia M van Duijn and 3 more

Abstract read
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. [Research progress on genetic effects of the asymmetry of human brain structure revealed by magnetic resonance imaging].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
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  6. LearningBrain sciences · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Sven J van der LeeDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Gennady V RoshchupkinDepartment of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
Hieab H H AdamsDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Helena SchmidtInstitute of Molecular Biology and Biochemistry, Centre for Molecular Medicine, Medical University of Graz, Graz, Austria.
Edith HoferClinical Division of Neurogeriatrics, Department of Neurology, Medical University Graz, Graz, Austria.
Yasaman SabaInstitute of Molecular Biology and Biochemistry, Centre for Molecular Medicine, Medical University of Graz, Graz, Austria.
Reinhold SchmidtClinical Division of Neurogeriatrics, Department of Neurology, Medical University Graz, Graz, Austria.
Albert HofmanDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Najaf AminDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Cornelia M van DuijnDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Meike W VernooijDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
M Arfan IkramDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Wiro J NiessenDepartment of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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).

methodsValidated 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.

resultsVoxels 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

conclusionGray 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. © 2017 Wiley Periodicals, Inc.

Indexed as

Family HealthGenetic LinkageMagnetic Resonance ImagingAgedAged, 80 and overAustriaBrain MappingCohort StudiesCommunity Health PlanningFemaleGray MatterHumansImage Processing, Computer-AssistedMaleMiddle AgedNetherlandsbrain structure heritabilityfamily-based studygeneticsgray mattermagnetic resonance imagingpopulation-based studyvoxel-based morphometry

Identifiers

PMID28145022
PMCPMC6867052

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.