Evidence map›Paper›PMID 10090903›Full record

ArticleAmerican journal of human genetics1999

A note on power approximations for the transmission/disequilibrium test.

M Knapp

Abstract read
In one paragraph

Article in American journal of human genetics, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Trial
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  3. Wound healing genes and susceptibility to cutaneous leishmaniasis in Brazil: role of COL1A1.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2015
    Article
  4. Article
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  6. Wound healing genes and susceptibility to cutaneous leishmaniasis in Brazil.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2012
    Article
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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.

M KnappInstitute for Medical Statistics, University of Bonn, 53105 Bonn, Germany. knapp@imsdd.meb.uni-bonn.de

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transmission/disequilibrium test (TDT) is a popular method for detection of the genetic basis of a disease. Investigators planning such studies require computation of sample size and power, allowing for a general genetic model. Here, a rigorous method is presented for obtaining the power approximations of the TDT for samples consisting of families with either a single affected child or affected sib pairs. Power calculations based on simulation show that these approximations are quite precise. By this method, it is also shown that a previously published power approximation of the TDT is erroneous.

Indexed as

AllelesBipolar DisorderChromosome MappingComputer SimulationFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansLikelihood FunctionsLinkage DisequilibriumMaleMatched-Pair AnalysisMathematicsModels, GeneticNuclear FamilyTryptophan Hydroxylase

Identifiers

PMID10090903
PMCPMC1377842

What OpenQuestion holds

Texttitle and abstract
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.