Evidence map›Paper›PMID 20581684›Full record

ReviewCurrent opinion in neurology2010

Imaging genomics.

Paul M Thompson, Nicholas G Martin, Margaret J Wright

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current opinion in neurology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

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

  1. Genetic and environmental influences on neuroimaging phenotypes: a meta-analytical perspective on twin imaging studies.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2012
    Pooled it
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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

3 authors.

Paul M ThompsonDepartment of Neurology, UCLA School of Medicine, Los Angeles, CA 90095-7332, USA. thompson@loni.ucla.edu
Nicholas G Martin
Margaret J Wright

Funding

Center for Computational Biology (RMI)U54RR021813 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TOGA, ARTHUR W · 2004 to 2010
$25.3M
Amyloid Imaging, VMCI, and Analysis for ADNIRC2AG036535 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WEINER, MICHAEL W · 2009 to 2010
$23.8M
YALE CENTER FOR THE: LEARNING &ATTENTIONP41RR013642 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARER, ELAINE L · 1998 to 2011
$21.9M
HARDI Mapping of Disease Effects on the BrainR01EB008432 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2009 to 2012
$2.6M
Genetic influences on the brain: A twin imaging studyR01HD050735 · NICHD · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI WRIGHT, MARGARET JANE · 2007 to 2011
$2.6M
A Multidimensional Alzheimer's Disease Brain AtlasR01EB008281 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2007 to 2010
$1.4M
Computational Modeling of High-Field MR ImagesR01EB007813 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2007 to 2010
$1.3M
NCRR NIH HHS P41 RR013642NCRR NIH HHS RR013642NCRR NIH HHS RR021813NCRR NIH HHS U54 RR021813NIA NIH HHS AG036535NIA NIH HHS RC2 AG036535NIBIB NIH HHS EB007813NIBIB NIH HHS EB008281NIBIB NIH HHS EB008432NIBIB NIH HHS R01 EB007813NIBIB NIH HHS R01 EB008281NIBIB NIH HHS R01 EB008432NICHD NIH HHS R01 HD050735
6 · The paper itself

Abstract

purpose of reviewImaging genomics is an emerging field that is rapidly identifying genes that influence the brain, cognition, and risk for disease. Worldwide, thousands of individuals are being scanned with high-throughput genotyping (genome-wide scans), and new imaging techniques [high angular resolution diffusion imaging and resting state functional magnetic resonance imaging (MRI)] that provide fine-grained measures of the brain's structural and functional connectivity. Along with clinical diagnosis and cognitive testing, brain imaging offers highly reproducible measures that can be subjected to genetic analysis. RECENT

findingsRecent studies of twin, pedigree, and population-based datasets have discovered several candidate genes that consistently show small to moderate effects on brain measures. Many studies measure single phenotypes from the images, such as hippocampal volume, but voxel-wise genomic methods can plot the profile of genetic association at each 3D point in the brain. This exploits the full arsenal of imaging statistics to discover and replicate gene effects. SUMMARY: Imaging genomics efforts worldwide are now working together to discover and replicate many promising leads. By studying brain phenotypes closer to causative gene action, larger gene effects are detectable with realistic sample sizes obtainable from meta-analysis of smaller studies. Imaging genomics has broad applications to dementia, mental illness, and public health.

Indexed as

BrainBrain MappingDiagnostic ImagingGene Expression Regulation, DevelopmentalGenome-Wide Association StudyGenomicsHumansMagnetic Resonance ImagingMental DisordersPhenotype

Identifiers

PMID20581684
PMCPMC2927195

What OpenQuestion holds

Textmetadata
LicenceTDM
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.