Evidence map›Paper›PMID 18818728›Full record

ReviewPLoS genetics2008

A review of family-based tests for linkage disequilibrium between a quantitative trait and a genetic marker.

Warren J Ewens, Mingyao Li, Richard S Spielman

Abstract readReview
In one paragraph

Review in PLoS genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Causal inference in genetic trio studies.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  4. Article
  5. Linkage Analysis of the Chromosome 5q31-33 Region Identifies JAKMIP2 as a Risk Factor for Graves' Disease in the Chinese Han Population.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Article
  6. Uncovering the Genetic Architectures of Quantitative Traits.Computational and structural biotechnology journal · 2016
    Review
  7. Review
  8. Review
  9. The Fourth Law of Behavior Genetics.Current directions in psychological science · 2015
    Article
  10. Article
  11. Article
  12. Alpha-tryptase gene variation is associated with levels of circulating IgE and lung function in asthma.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2014
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Dissecting complex phenotypes using the genomics of twins.Functional & integrative genomics · 2010
    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

3 authors.

Warren J EwensDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA. wewens@sas.upenn.edu
Mingyao Li
Richard S Spielman

Funding

Genome-wide analysis of genetic variation and expression.R01GM081930 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI CHEUNG, VIVIAN G · 2007 to 2010
$3.2M
NIGMS NIH HHS GM081930NIGMS NIH HHS R01 GM081930
6 · The paper itself

Abstract

Quantitative trait transmission/disequilibrium tests (quantitative TDTs) are commonly used in family-based genetic association studies of quantitative traits. Despite the availability of various quantitative TDTs, some users are not aware of the properties of these tests and the relationships between them. This review aims at outlining the broad features of the various quantitative TDT procedures carried out in the frequently used QTDT and FBAT packages. Specifically, we discuss the "Rabinowitz" and the "Monks-Kaplan" procedures, as well as the various "Abecasis" and "Allison" regression-based procedures. We focus on the models assumed in these tests and the relationships between them. Moreover, we discuss what hypotheses are tested by the various quantitative TDTs, what testing procedures are best suited to various forms of data, and whether the regression-based tests overcome population stratification problems. Finally, we comment on power considerations in the choice of the test to be used. We hope this brief review will shed light on the similarities and differences of the various quantitative TDTs.

Indexed as

FamilyGenetic MarkersLinkage DisequilibriumQuantitative Trait, HeritableGenetics, PopulationHumansModels, GeneticModels, StatisticalGenetic Markers

Identifiers

PMID18818728
PMCPMC2528965

What OpenQuestion holds

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LicenceCC BY
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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.