Evidence map›Paper›PMID 26890892›Full record

SynthesisHuman brain mapping2016

Early developmental gene enhancers affect subcortical volumes in the adult human brain.

Martin Becker, Tulio Guadalupe, Barbara Franke, Derrek P Hibar, Miguel E Renteria, Jason L Stein, Paul M Thompson, Clyde Francks, Sonja C Vernes, Simon E Fisher

Abstract readMeta-Analysis
In one paragraph

Synthesis in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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

10 authors.

Martin BeckerMax Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.
Tulio GuadalupeMax Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.
Barbara FrankeDonders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands.
Derrek P HibarImaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, California.
Miguel E RenteriaGenetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Jason L SteinImaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, California.
Paul M ThompsonImaging Genetics Center, Keck School of Medicine, University of Southern California, Marina Del Rey, California.
Clyde FrancksMax Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.
Sonja C VernesMax Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.
Simon E FisherMax Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.

Funding

Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Growth factors, neuroinflammation, exercise, and brain integrityRF1AG041915 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2014
$2.9M
Alzheimer's disease risk analyzed using population imaging genomicsR01AG040060 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2011 to 2016
$2.5M
NIA NIH HHS R01 AG040060NIA NIH HHS RF1 AG041915NIBIB NIH HHS U54 EB020403
6 · The paper itself

Abstract

Genome-wide association screens aim to identify common genetic variants contributing to the phenotypic variability of complex traits, such as human height or brain morphology. The identified genetic variants are mostly within noncoding genomic regions and the biology of the genotype-phenotype association typically remains unclear. In this article, we propose a complementary targeted strategy to reveal the genetic underpinnings of variability in subcortical brain volumes, by specifically selecting genomic loci that are experimentally validated forebrain enhancers, active in early embryonic development. We hypothesized that genetic variation within these enhancers may affect the development and ultimately the structure of subcortical brain regions in adults. We tested whether variants in forebrain enhancer regions showed an overall enrichment of association with volumetric variation in subcortical structures of >13,000 healthy adults. We observed significant enrichment of genomic loci that affect the volume of the hippocampus within forebrain enhancers (empirical P = 0.0015), a finding which robustly passed the adjusted threshold for testing of multiple brain phenotypes (cutoff of P < 0.0083 at an alpha of 0.05). In analyses of individual single nucleotide polymorphisms (SNPs), we identified an association upstream of the ID2 gene with rs7588305 and variation in hippocampal volume. This SNP-based association survived multiple-testing correction for the number of SNPs analyzed but not for the number of subcortical structures. Targeting known regulatory regions offers a way to understand the underlying biology that connects genotypes to phenotypes, particularly in the context of neuroimaging genetics. This biology-driven approach generates testable hypotheses regarding the functional biology of identified associations. Hum Brain Mapp 37:1788-1800, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

B7 AntigensBrainEnhancer Elements, GeneticGenome-Wide Association StudyHumansNeuroimagingPhenotypePolymorphism, Single NucleotideB7 AntigensVSIR protein, humanfunctional genomicsgene enhancerGWAShippocampusneurodevelopmentsubcortical volume

Identifiers

PMID26890892
PMCPMC4883000

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.