Evidence map›Paper›PMID 24657781›Full record

ArticleNeuroImage2014

Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling.

Peter Kochunov, Neda Jahanshad, Emma Sprooten, Thomas E Nichols, René C Mandl, Laura Almasy, Tom Booth, Rachel M Brouwer, Joanne E Curran, Greig I de Zubicaray and 31 more

Abstract readComparative StudyMulticenter StudyTwin Study
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 9 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

95 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  6. Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019
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35 more citing papers are in PubMed but not listed here.

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

41 authors.

Peter KochunovMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: pkochunov@mprc.umaryland.edu.
Neda JahanshadImaging Genetics Center, Institute of Neuroimaging and Informatics, Department of Neurology, Keck School of Medicine of USC, Los Angeles, CA, USA.
Emma SprootenOlin Neuropsychiatry Research Center in the Institute of Living, Yale University School of Medicine, New Haven, CT, USA.
Thomas E NicholsDepartment of Statistics & Warwick Manufacturing Group, The University of Warwick, Coventry, UK; Oxford Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, Oxford University, UK.
René C MandlBrain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands.
Laura AlmasyDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA.
Tom BoothCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
Rachel M BrouwerBrain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands.
Joanne E CurranDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA.
Greig I de ZubicaraySchool of Psychology, University of Queensland, Brisbane, Australia.
Rali DimitrovaDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
Ravi DuggiralaDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA.
Peter T FoxResearch Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, USA.
L Elliot HongMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.
Bennett A LandmanDepartment of Electrical Engineering, Vanderbilt University, Nashville, TN, USA.
Hervé LemaitreU1000 Research Unit Neuroimaging and Psychiatry, INSERM-CEA-Faculté de Médecine Paris-Sud, Orsay, France.
Lorna M LopezCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
Nicholas G MartinQIMR Berghofer Medical Research Institute, Brisbane, Australia.
Katie L McMahonCentre for Advanced Imaging, University of Queensland, Brisbane, Australia.
Braxton D MitchellDepartment of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Rene L OlveraDepartment of Psychiatry, University of Texas Health Science Center San Antonio, San Antonio, TX, USA.
Charles P PetersonDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA.
John M StarrCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, UK; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK.
Jessika E SussmannDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
Arthur W TogaImaging Genetics Center, Institute of Neuroimaging and Informatics, Department of Neurology, Keck School of Medicine of USC, Los Angeles, CA, USA.
Joanna M WardlawCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, UK.
Margaret J WrightQIMR Berghofer Medical Research Institute, Brisbane, Australia.
Susan N WrightMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.
Mark E BastinCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, UK.
Andrew M McIntoshDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
Dorret I BoomsmaDepartment of Biological Psychology, VU University, Amsterdam, The Netherlands.
René S KahnBrain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands.
Anouk den BraberDepartment of Biological Psychology, VU University, Amsterdam, The Netherlands.
Eco J C de GeusDepartment of Biological Psychology, VU University, Amsterdam, The Netherlands.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, UK.
Hilleke E Hulshoff PolBrain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands.
Douglas E WilliamsonDepartment of Psychiatry, University of Texas Health Science Center San Antonio, San Antonio, TX, USA.
John BlangeroDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA.
Dennis van 't EntDepartment of Biological Psychology, VU University, Amsterdam, The Netherlands.
Paul M ThompsonImaging Genetics Center, Institute of Neuroimaging and Informatics, Department of Neurology, Keck School of Medicine of USC, Los Angeles, CA, USA; Department of Neurology, Pediatrics, Engineering, Psychiatry, Radiology, & Ophthalmology, University of Southern California, Los Angeles, CA, USA.
David C GlahnOlin Neuropsychiatry Research Center in the Institute of Living, Yale University School of Medicine, New Haven, CT, USA.

Funding

TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
HARDI Mapping of Disease Effects on the BrainR01EB008432 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2009 to 2012
$2.6M
Affective & Neurobiological Predictors of Adolescent-Onset Alcohol Use DisordersR01AA016274 · NIAAA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI WILLIAMSON, DOUGLAS E · 2006 to 2010
$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
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
Biotechnology and Biological Sciences Research Council BB/F019394/1Medical Research Council G0700704Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MR/K026992/1NIAAA NIH HHS R01 AA016274NIAAA NIH HHS R01AA016274NIBIB NIH HHS EB007813NIBIB NIH HHS EB008281NIBIB NIH HHS EB008432NIBIB NIH HHS P41 EB015922NIBIB NIH HHS R01 EB007813NIBIB NIH HHS R01 EB008281NIBIB NIH HHS R01 EB008432NIBIB NIH HHS R01 EB015611NICHD NIH HHS R01 HD050735NIMH NIH HHS MH0708143NIMH NIH HHS MH083824NIMH NIH HHS MH59490NIMH NIH HHS R01 MH059490NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH083824NIMH NIH HHS R37 MH059490Wellcome Trust 087727/Z/08/ZWellcome Trust 100309
6 · The paper itself

Abstract

Combining datasets across independent studies can boost statistical power by increasing the numbers of observations and can achieve more accurate estimates of effect sizes. This is especially important for genetic studies where a large number of observations are required to obtain sufficient power to detect and replicate genetic effects. There is a need to develop and evaluate methods for joint-analytical analyses of rich datasets collected in imaging genetics studies. The ENIGMA-DTI consortium is developing and evaluating approaches for obtaining pooled estimates of heritability through meta-and mega-genetic analytical approaches, to estimate the general additive genetic contributions to the intersubject variance in fractional anisotropy (FA) measured from diffusion tensor imaging (DTI). We used the ENIGMA-DTI data harmonization protocol for uniform processing of DTI data from multiple sites. We evaluated this protocol in five family-based cohorts providing data from a total of 2248 children and adults (ages: 9-85) collected with various imaging protocols. We used the imaging genetics analysis tool, SOLAR-Eclipse, to combine twin and family data from Dutch, Australian and Mexican-American cohorts into one large "mega-family". We showed that heritability estimates may vary from one cohort to another. We used two meta-analytical (the sample-size and standard-error weighted) approaches and a mega-genetic analysis to calculate heritability estimates across-population. We performed leave-one-out analysis of the joint estimates of heritability, removing a different cohort each time to understand the estimate variability. Overall, meta- and mega-genetic analyses of heritability produced robust estimates of heritability.

Indexed as

BrainGenetic VariationMeta-Analysis as TopicWhite MatterAdolescentAdultAgedAged, 80 and overAnisotropyChildDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedYoung AdultDiffusion tensor imaging (DTI)HeritabilityImaging geneticsMeta-analysisMulti-siteReliability

Identifiers

PMID24657781
PMCPMC4043878

What OpenQuestion holds

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Registered trials

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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.