Evidence map›Paper›PMID 34621014›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2022

Association between polygenic risk for Alzheimer's disease, brain structure and cognitive abilities in UK Biobank.

Rachana Tank, Joey Ward, Kristin E Flegal, Daniel J Smith, Mark E S Bailey, Jonathan Cavanagh, Donald M Lyall

Open access · hybridAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. White Matter Microstructural Alterations Mediate the Association between Polygenic Risk for Alzheimer's Disease and Cognitive Performance in Clinically Asymptomatic Adults.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
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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

7 authors at 2 institutions in 1 country.

Rachana TankInstitute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Joey WardInstitute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Kristin E FlegalInstitute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK.
Daniel J SmithCentre for Clinical Brain Sciences, Division of Psychiatry, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-2267-1951
Mark E S BaileySchool of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Jonathan CavanaghInstitute of Infection, Immunity & Inflammation, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0003-0640-8050
Donald M LyallInstitute of Health and Wellbeing, University of Glasgow, Glasgow, UK. Donald.Lyall@Glasgow.ac.uk.
University of Glasgow · GBUniversity of Edinburgh · GB

Funding

British Heart FoundationMedical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/N003403/1Wellcome Trust
6 · The paper itself

Abstract

Previous studies testing associations between polygenic risk for late-onset Alzheimer's disease (LOAD-PGR) and brain magnetic resonance imaging (MRI) measures have been limited by small samples and inconsistent consideration of potential confounders. This study investigates whether higher LOAD-PGR is associated with differences in structural brain imaging and cognitive values in a relatively large sample of non-demented, generally healthy adults (UK Biobank). Summary statistics were used to create PGR scores for n = 32,790 participants using LDpred. Outcomes included 12 structural MRI volumes and 6 concurrent cognitive measures. Models were adjusted for age, sex, body mass index, genotyping chip, 8 genetic principal components, lifetime smoking, apolipoprotein (APOE) e4 genotype and socioeconomic deprivation. We tested for statistical interactions between APOE e4 allele dose and LOAD-PGR vs. all outcomes. In fully adjusted models, LOAD-PGR was associated with worse fluid intelligence (standardised beta [β] = -0.080 per LOAD-PGR standard deviation, p = 0.002), matrix completion (β = -0.102, p = 0.003), smaller left hippocampal total (β = -0.118, p = 0.002) and body (β = -0.069, p = 0.002) volumes, but not other hippocampal subdivisions. There were no significant APOE x LOAD-PGR score interactions for any outcomes in fully adjusted models. This is the largest study to date investigating LOAD-PGR and non-demented structural brain MRI and cognition phenotypes. LOAD-PGR was associated with smaller hippocampal volumes and aspects of cognitive ability in healthy adults and could supplement APOE status in risk stratification of cognitive impairment/LOAD.

Indexed as

Alzheimer DiseaseApolipoprotein E4Biological Specimen BanksBrainCognitionHumansMagnetic Resonance ImagingUnited KingdomApolipoprotein E4

Identifiers

PMID34621014
PMCPMC8674313
OpenAlexW3162899534

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.