Evidence map›Paper›PMID 16451673›Full record

ArticleBMC genetics2005

Locally weighted transmission/disequilibrium test for genetic association analysis.

Li Hsu, Xuesong Yu, Jeanine J Houwing-Duistermaat, Hae-Won Uh, Rachid El Galta, Jeremie J P Lebrec, Hua Tang

Abstract read
In one paragraph

Article in BMC genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Li HsuModeling and Methods, Biostatistics Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98195, USA. lih@fhcrc.org
Xuesong Yu
Jeanine J Houwing-Duistermaat
Hae-Won Uh
Rachid El Galta
Jeremie J P Lebrec
Hua Tang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transmission/disequilibrium test statistic has been used for assessing genetic association in affected-parent trios. In the presence of multiple tightly linked marker loci where local dependency may exist, haplotypes are reconstructed statistically to estimate the joint effects of these markers. In this manuscript, we propose an alternative to the haplotype approach by taking a weighted average of multiple loci, where the weight is proportional to the product of (1-2X recombination fraction) and the linkage disequilibrium between markers. As an illustration, we applied the method to the simulated Aipotu data.

Indexed as

Genome-Wide Association StudyHumansLinkage DisequilibriumPolymorphism, Single Nucleotide

Identifiers

PMID16451673
PMCPMC1866722

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.