Evidence map›Paper›PMID 35663382›Full record

ReviewBrain communications2022

Genome-wide association studies for Alzheimer's disease: bigger is not always better.

Valentina Escott-Price, John Hardy

Open access · goldAbstract readReview
In one paragraph

Review in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 2 pooled it
21.7field-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

86 citing papers in PubMed, 2 syntheses or guidelines pooled it, 119 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
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  7. Article
  8. Review
  9. APOE*4 risk-modifying genes and drug targets in Alzheimer's disease through cell-type-specific genomic analyses.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  10. Article
  11. Article
  12. Genetic analysis of neurodegenerative diseases.The Journal of clinical investigation · 2026
    Review
  13. Genetic risk in Alzheimer's disease.NPJ systems biology and applications · 2026
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. medRxiv : the preprint server for health sciences · 2025
    Article

26 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Valentina Escott-PriceDivision of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.ORCID https://orcid.org/0000-0003-1784-5483
John HardyUCL Institute of Neurology, Queen Square, London, UK.
UK Dementia Research Institute · GB

Funding

Medical Research Council G0701075Medical Research Council G0901254Medical Research Council MR/L023784/2Medical Research Council MR/T033371/1Medical Research Council MR/T04604X/1
6 · The paper itself

Abstract

As the size of genome-wide association studies increase, the number of associated trait loci identified inevitably increase. One welcomes this if it allows the better delineation of the pathways to disease and increases the accuracy of genetic prediction of disease risk through polygenic risk score analysis. However, there are several problems in the continuing increase in the genome-wide analysis of 'Alzheimer's disease'. In this review, we have systematically assessed the history of Alzheimer's disease genome-wide association studies, including their sample sizes, age and selection/assessment criteria of cases and controls and heritability explained by these disease genome-wide association studies. We observe that nearly all earlier disease genome-wide association studies are now part of all current disease genome-wide association studies. In addition, the latest disease genome-wide association studies include (i) only a small fraction (∼10%) of clinically screened controls, substituting for them population-based samples which are systematically younger than cases, and (ii) around 50% of Alzheimer's disease cases are in fact 'proxy dementia cases'. As a consequence, the more genes the field finds, the less the heritability they explain. We highlight potential caveats this situation creates and discuss some of the consequences occurring when translating the newest Alzheimer's disease genome-wide association study results into basic research and/or clinical practice.

Indexed as

Alzheimer’s diseasegenome-wide association studyheritability

Identifiers

PMID35663382
PMCPMC9155614
OpenAlexW4280619985

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.