Evidence map›Paper›PMID 19768548›Full record

ReviewNeuropsychology review2009

The impact of genetic research on our understanding of normal cognitive ageing: 1995 to 2009.

Antony Payton

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neuropsychology review, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Pooled it
  3. Article
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  14. Genome-Wide Analyses of Working-Memory Ability: A Review.Current behavioral neuroscience reports · 2014
    Article
  15. Article
  16. Article
  17. Schooling and variation in the COMT gene: the devil is in the details.Journal of child psychology and psychiatry, and allied disciplines · 2013
    Article
  18. Article
  19. The Promises and Pitfalls of Genoeconomics*Annual review of economics · 2012
    Article
  20. Review
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

1 author.

Antony PaytonCentre for Integrated Genomic Medical Research, University of Manchester, Stopford Building, Oxford Road, Manchester M139PT, UK. tony.payton@manchester.ac.uk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the risk factors for individual differences in age-related cognitive ability and decline is amongst the greatest challenges facing the healthcare of older people. Cognitive impairment caused by "normal ageing" is a major contributor towards overall cognitive deficit in the elderly and a process that exhibits substantial inter- and intra-individual differences. Both cognitive ability and its decline with age are influenced by genetic variation that may act independently or via epistasis/gene-environment interaction. Over the past fourteen years genetic research has aimed to identify the polymorphisms responsible for high cognitive functioning and successful cognitive ageing. Unfortunately, during this period a bewildering array of contrasting reports have appeared in the literature that have implicated over 50 genes with effect sizes ranging from 0.1 to 21%. This review will provide a comprehensive account of the studies performed on cognitively healthy individuals, from the first study conducted in 1995 to present. Based on current knowledge the strong and weak methodologies will be identified and suggestions for future study design will be presented.

Indexed as

CognitionAgingCognition DisordersHumans

Identifiers

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.