Evidence map›Paper›PMID 35589863›Full record

ArticleScientific reports2022

Genome-wide association of polygenic risk extremes for Alzheimer's disease in the UK Biobank.

Catarina Gouveia, Elizabeth Gibbons, Nadia Dehghani, James Eapen, Rita Guerreiro, Jose Bras

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
12.2field-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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
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  12. Alzheimer's disease prevention by flavonols and their analogs.The journal of prevention of Alzheimer's disease · 2026
    Review
  13. Observational
  14. Genetic drivers of progression in Alzheimer's disease are distinct from disease risk.medRxiv : the preprint server for health sciences · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Catarina GouveiaDepartment of Neurodegenerative Science, Van Andel Research Institute, 333 Bostwick Ave. N.E., Grand Rapids, MI, 49503-2518, USA.
Elizabeth GibbonsDepartment of Neurodegenerative Science, Van Andel Research Institute, 333 Bostwick Ave. N.E., Grand Rapids, MI, 49503-2518, USA.
Nadia DehghaniDepartment of Neurodegenerative Science, Van Andel Research Institute, 333 Bostwick Ave. N.E., Grand Rapids, MI, 49503-2518, USA.
James EapenDepartment of Neurodegenerative Science, Van Andel Research Institute, 333 Bostwick Ave. N.E., Grand Rapids, MI, 49503-2518, USA.
Rita GuerreiroDepartment of Neurodegenerative Science, Van Andel Research Institute, 333 Bostwick Ave. N.E., Grand Rapids, MI, 49503-2518, USA.
Jose BrasDepartment of Neurodegenerative Science, Van Andel Research Institute, 333 Bostwick Ave. N.E., Grand Rapids, MI, 49503-2518, USA. Jose.Bras@vai.org.
Van Andel Institute · USMichigan State University · US

Funding

Alzheimer's disease genetic architecture in the Portuguese populationR01AG067426 · NIA · VAN ANDEL RESEARCH INSTITUTE · PI GUERREIRO, RITA · 2020 to 2023
$3.1M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIA NIH HHS R01 AG067426NIH HHS R01AG067426
6 · The paper itself

Abstract

In just over a decade, advances in genome-wide association studies (GWAS) have offered an approach to stratify individuals based on genetic risk for disease. Using recent Alzheimer's disease (AD) GWAS results as the base data, we determined each individual's polygenic risk score (PRS) in the UK Biobank dataset. Using individuals within the extreme risk distribution, we performed a GWAS that is agnostic of AD phenotype and is instead based on known genetic risk for disease. To interpret the functions of the new risk factors, we conducted phenotype analyses, including a phenome-wide association study. We identified 246 loci surpassing the significance threshold of which 229 were not reported in the base AD GWAS. These include loci that showed suggestive levels of association in the base GWAS and loci not previously suspected to be associated with AD. Among these, there are loci, such as IL34 and KANSL1, that have since been shown to be associated with AD in recent studies. We also show highly significant genetic correlations with multiple health-related outcomes that provide insights into prodromal symptoms and comorbidities. This is the first study to utilize PRS as a phenotype-agnostic group classification in AD genetic studies. We identify potential new loci for AD and detail phenotypic analysis of these PRS extremes.

Indexed as

Alzheimer DiseaseGenome-Wide Association StudyBiological Specimen BanksGenetic Predisposition to DiseaseHumansMultifactorial InheritancePolymorphism, Single NucleotideRisk FactorsUnited Kingdom

Identifiers

PMID35589863
PMCPMC9120074
OpenAlexW4280540931

What OpenQuestion holds

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LicenceCC BY
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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.