Evidence map›Paper›PMID 16086172›Full record

ReviewImmunogenetics2005

Reliability of statistical associations between genes and disease.

Kenneth F Manly

Abstract readReview
PubMed Publisher
In one paragraph

Review in Immunogenetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.2field-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

34 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  7. Article
  8. Article
  9. Review
  10. Article
  11. Exploring unknowns in cardiology.Nature reviews. Cardiology · 2014
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Maternal-zygotic epistasis and the evolution of genetic diseases.Journal of biomedicine & biotechnology · 2010
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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 at 1 institution in 1 country.

Kenneth F ManlyPathology and Laboratory Medicine, Anatomy and Neurobiology, Center of Genomics and Bioinformatics, University of Tennessee Health Science Center, Memphis, USA. kmanly@tennessee.edu
University of Tennessee Health Science Center · US

Funding

Modeling heterogeneity for safe cancer prevention and detectionU01CA105417 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI THREADGILL, DAVID W. · 2004 to 2013
$6.7M
INFORMATICS CENTER FOR MOUSE NEUROGENETICSP20MH062009 · NIMH · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. W · 2000 to 2004
$5.9M
NCI NIH HHS CA105417-01NHGRI NIH HHS HG001656-06NIMH NIH HHS MH62009-05
6 · The paper itself

Abstract

Many statistical associations between a disease and alleles of specific genes have proven to be irreproducible. In part, this irreproducibility can be attributed to a lack of replication before publication and the fact that, until recently, the relationship between statistical significance and various measures of reproducibility was not widely understood. This review proposes a classification system, the Better Associations for Disease and GEnes (BADGE) system, for describing genetic associations. The BADGE classes, first class through fifth class, are based on the P value of the association. A first-class association, with P < 2 x 10(-7), is expected to be reproducible even in the absence of other evidence supporting the association. A fifth-class association corresponds to conventional statistical significance (P < 5 x 10(-2)), which provides almost no assurance of reproducibility. Three intervening classes, described as second-, third-, and fourth-class associations, are defined by P values separated by factors of 20 or 25 from these extremes.

Indexed as

Genetic Predisposition to DiseaseAnimalsGenetic LinkageGuidelines as TopicHumansReproducibility of ResultsStatistics as Topic

Identifiers

PMID16086172
OpenAlexW2014605086

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.