Evidence map›Paper›PMID 29631748›Full record

ArticleNeurobiology of aging2018

Genome-wide association identifies a novel locus for delirium risk.

Thomas H McCoy, Kamber Hart, Amelia Pellegrini, Roy H Perlis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurobiology of aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The complex interaction of genetics and delirium: a systematic review and meta-analysis.European archives of psychiatry and clinical neuroscience · 2021
    Pooled it
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  12. Observational
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  14. Delirium.Nature reviews. Disease primers · 2020
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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

4 authors.

Thomas H McCoyCenter for Quantitative Health, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Electronic address: thmccoy@partners.org.
Kamber HartCenter for Quantitative Health, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Amelia PellegriniCenter for Quantitative Health, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Roy H PerlisCenter for Quantitative Health, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.

Funding

Natural language processing for characterizing psychopathologyR01MH106577 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PERLIS, ROY H. · 2016 to 2018
$1.2M
NIMH NIH HHS R01 MH106577
6 · The paper itself

Abstract

We aimed to identify common genetic variations associated with delirium through genome-wide association testing in a hospital biobank. We applied a published electronic health record-based definition of delirium to identify cases of delirium, and control individuals with no history of delirium, from a biobank spanning 2 Boston academic medical centers. Among 6035 individuals of northern European ancestry, including 421 with a history of delirium, we used logistic regression to examine genome-wide association. We identified one locus spanning multiple genes, including 3 interleukin-related genes, associated with p = 1.41e-8, and 5 other independent loci with p < 5e-7. Our results do not support previously reported candidate gene associations in delirium. Identifying common-variant associations with delirium may provide insight into the mechanisms responsible for this complex and multifactorial outcome. Using standardized claims-based phenotypes in biobanks should allow the larger scale investigations required to confirm novel loci such as the one we identify.

Indexed as

Databases, GeneticAgedAged, 80 and overCase-Control StudiesDeliriumFemaleGenetic LociGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansInterleukinsLogistic ModelsMaleMiddle AgedRiskInterleukinsAttentionBiobankConsultation psychiatryDeliriumGenetic association

Identifiers

PMID29631748
PMCPMC5993590

What OpenQuestion holds

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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.