Evidence map›Paper›PMID 10677318›Full record

ArticleAmerican journal of human genetics2000

Removing the sampling restrictions from family-based tests of association for a quantitative-trait locus.

S A Monks, N L Kaplan

Abstract read
In one paragraph

Article in American journal of human genetics, 2000. 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
–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

34 citing papers in PubMed.

  1. Article
  2. Causal inference in genetic trio studies.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  3. Article
  4. Article
  5. Article
  6. hVMAT2: A Target of Individualized Medication for Parkinson's Disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2016
    Article
  7. Review
  8. Article
  9. Association mapping of stem rust race TTKSK resistance in US barley breeding germplasm.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014
    Article
  10. Article
  11. Article
  12. Family-based association mapping in crop species.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. A new test for family-based association mapping with inbred lines from plant breeding programs.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2006
    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

2 authors.

S A MonksDepartment of Biostatistics, University of Washington, Seattle, WA 98195-7232, USA. steph@biostat.washington.edu
N L Kaplan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One strategy for localization of a quantitative-trait locus (QTL) is to test whether the distribution of a quantitative trait depends on the number of copies of a specific genetic-marker allele that an individual possesses. This approach tests for association between alleles at the marker and the QTL, and it assumes that association is a consequence of the marker being physically close to the QTL. However, problems can occur when data are not from a homogeneous population, since associations can arise irrespective of a genetic marker being in physical proximity to the QTL-that is, no information is gained regarding localization. Methods to address this problem have recently been proposed. These proposed methods use family data for indirect stratification of a population, thereby removing the effect of associations that are due to unknown population substructure. They are, however, restricted in terms of the number of children per family that can be used in the analysis. Here we introduce tests that can be used on family data with parent and child genotypes, with child genotypes only, or with a combination of these types of families, without size restrictions. Furthermore, equations that allow one to determine the sample size needed to achieve desired power are derived. By means of simulation, we demonstrate that the existing tests have an elevated false-positive rate when the size restrictions are not followed and that a good deal of information is lost as a result of adherence to the size restrictions. Finally, we introduce permutation procedures that are recommended for small samples but that can also be used for extensions of the tests to multiallelic markers and to the simultaneous use of more than one marker.

Indexed as

Nuclear FamilyQuantitative Trait, HeritableAllelesChromosome MappingComputer SimulationFalse Positive ReactionsFemaleGene DosageGenetic LinkageGenetic MarkersGenotypeHumansMaleMathematicsModels, GeneticReproducibility of ResultsGenetic Markers

Identifiers

PMID10677318
PMCPMC1288111

What OpenQuestion holds

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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.