Evidence map›Paper›PMID 27717770›Full record

ArticleNeuroImage2017

Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study.

Wensheng Zhu, Ying Yuan, Jingwen Zhang, Fan Zhou, Rebecca C Knickmeyer, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2017. 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. Review
  2. Article
  3. Brain Imaging Genomics: Integrated Analysis and Machine Learning.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2020
    Article
  4. Article
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

7 authors.

Wensheng ZhuSchool of Mathematics & Statistics and KLAS, Northeast Normal University, Changchun 130024, China; Departments of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Ying YuanTakeda Pharmaceuticals U.S.A., Inc., 300 Massachusetts Ave, Cambridge, MA 02139, USA.
Jingwen ZhangDepartments of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Fan ZhouDepartments of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Rebecca C KnickmeyerDepartments of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Hongtu ZhuDepartments of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: hzhu5@mdanderson.org.
Alzheimer's Disease Neuroimaging Initiative

Funding

Statistical Analysis of Biomedical Imaging Data in Curved SpaceR01MH086633 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI IBRAHIM, JOSEPH G · 2010 to 2018
$2.9M
Genome-wide Identification of Variants Affecting Early Human Brain DevelopmentR01MH092335 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KNICKMEYER, REBECCA · 2011 to 2015
$2.5M
Biostatistics and Mental Health Neuroimaging and Genomics Training GrantT32MH106440 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GILMORE, JOHN HORACE, KOSOROK, MICHAEL R · 2015 to 2019
$970k
NIMH NIH HHS R01 MH086633NIMH NIH HHS R01 MH092335NIMH NIH HHS T32 MH106440
6 · The paper itself

Abstract

The aim of this paper is to systematically evaluate a biased sampling issue associated with genome-wide association analysis (GWAS) of imaging phenotypes for most imaging genetic studies, including the Alzheimer's Disease Neuroimaging Initiative (ADNI). Specifically, the original sampling scheme of these imaging genetic studies is primarily the retrospective case-control design, whereas most existing statistical analyses of these studies ignore such sampling scheme by directly correlating imaging phenotypes (called the secondary traits) with genotype. Although it has been well documented in genetic epidemiology that ignoring the case-control sampling scheme can produce highly biased estimates, and subsequently lead to misleading results and suspicious associations, such findings are not well documented in imaging genetics. We use extensive simulations and a large-scale imaging genetic data analysis of the Alzheimer's Disease Neuroimaging Initiative (ADNI) data to evaluate the effects of the case-control sampling scheme on GWAS results based on some standard statistical methods, such as linear regression methods, while comparing it with several advanced statistical methods that appropriately adjust for the case-control sampling scheme.

Indexed as

PhenotypeAlzheimer DiseaseBrainCase-Control StudiesComputer SimulationFemaleGenome-Wide Association StudyGenotypeHumansMagnetic Resonance ImagingMaleNeuroimagingPolymorphism, Single NucleotideReproducibility of ResultsResearch DesignAlzheimer's Disease Neuroimaging InitiativeCase-controlGenome-wide association analysisImaging geneticsSecondary trait

Identifiers

PMID27717770
PMCPMC5322243

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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.