Evidence map›Paper›PMID 17667963›Full record

ArticleMolecular psychiatry2008

A whole genome association study of neuroticism using DNA pooling.

S Shifman, A Bhomra, S Smiley, N R Wray, M R James, N G Martin, J M Hettema, S S An, M C Neale, E J C G van den Oord and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular psychiatry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 5 pooled it
13.6field-weighted citation impact, top 1% of its field
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

63 citing papers in PubMed, 5 syntheses or guidelines pooled it, 158 citations in OpenAlex.

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  9. The genetics of human personality.Genes, brain, and behavior · 2018
    Review
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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 4 countries.

S ShifmanWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
A Bhomra
S Smiley
N R Wray
M R James
N G Martin
J M Hettema
S S An
M C Neale
E J C G van den Oord
K S Kendler
X Chen
D I Boomsma
C M Middeldorp
J J Hottenga
P E Slagboom
J Flint
Virginia Commonwealth University · USQIMR Berghofer Medical Research Institute · AUVrije Universiteit Amsterdam · NLCentre for Human Genetics · GBUniversity of Oxford · GBLeiden University Medical Center · NL

Funding

Psychometric and Genetic Assessments of Substance UseR37DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2005 to 2014
$3.7M
Psychometric and Genetic Assessments of Substance UseR01DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2004 to 2019
$2.3M
NIDA NIH HHS R01 DA018673NIDA NIH HHS R37 DA018673Wellcome Trust 079912
6 · The paper itself

Abstract

We describe a multistage approach to identify single nucleotide polymorphisms (SNPs) associated with neuroticism, a personality trait that shares genetic determinants with major depression and anxiety disorders. Whole genome association with 452 574 SNPs was performed on DNA pools from approximately 2000 individuals selected on extremes of neuroticism scores from a cohort of 88 142 people from southwest England. The most significant SNPs were then genotyped on independent samples to replicate findings. We were able to replicate association of one SNP within the PDE4D gene in a second sample collected by our laboratory and in a family-based test in an independent sample; however, the SNP was not significantly associated with neuroticism in two other independent samples. We also observed an enrichment of low P-values in known regions of copy number variations. Simulation indicates that our study had approximately 80% power to identify neuroticism loci in the genome with odds ratio (OR)>2, and approximately 50% power to identify small effects (OR=1.5). Since we failed to find any loci accounting for more than 1% of the variance, the heritability of neuroticism probably arises from many loci each explaining much less than 1%. Our findings argue the need for much larger samples than anticipated in genetic association studies and that the biological basis of emotional disorders is extremely complex.

Indexed as

Polymorphism, Single NucleotideCohort StudiesComputer SimulationCyclic Nucleotide Phosphodiesterases, Type 4FemaleGene FrequencyGenetic MarkersGenetic Predisposition to DiseaseGenomeGenotypeHumansLinkage DisequilibriumMaleMass ScreeningNeurotic DisordersOligonucleotide Array Sequence AnalysisCyclic Nucleotide Phosphodiesterases, Type 4Genetic Markers

Identifiers

PMID17667963
PMCPMC4004964
OpenAlexW1965689961

What OpenQuestion holds

Textmetadata
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.