Evidence map›Paper›PMID 20436909›Full record

ArticlePloS one2010

The textile plot: a new linkage disequilibrium display of multiple-single nucleotide polymorphism genotype data.

Natsuhiko Kumasaka, Yusuke Nakamura, Naoyuki Kamatani

Abstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
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  5. Genome wide association study of HTLV-1-associated myelopathy/tropical spastic paraparesis in the Japanese population.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  6. Frontiers in genetics · 2021
    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

3 authors.

Natsuhiko KumasakaCenter for Genomic Medicine, RIKEN, Tokyo, Japan. kumasaka@stat.math.keio.ac.jp
Yusuke Nakamura
Naoyuki Kamatani

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linkage disequilibrium (LD) is a major concern in many genetic studies because of the markedly increased density of SNP (Single Nucleotide Polymorphism) genotype markers. This dramatic increase in the number of SNPs may cause problems in statistical analyses, such as by introducing multiple comparisons in hypothesis testing and colinearity in logistic regression models, because of the presence of complex LD structures. Inferences must be made about the underlying genetic variation through the LD structure before applying statistical models to the data. Therefore, we introduced the textile plot to provide a visualization of LD to improve the analysis of the genetic variation present in multiple-SNP genotype data. The plot can accentuate LD by displaying specific geometrical shapes, and allowing for the underlying haplotype structure to be inferred without any haplotype-phasing algorithms. Application of this technique to simulated and real data sets illustrated the potential usefulness of the textile plot as an aid to the interpretation of LD in multiple-SNP genotype data. The initial results of LD mapping and haplotype analyses of disease genes are encouraging, indicating that the textile plot may be useful in disease association studies.

Indexed as

Linkage DisequilibriumPolymorphism, Single NucleotideBiometryComputational BiologyGenetic Predisposition to DiseaseGenotypeHumansModels, Statistical

Identifiers

PMID20436909
PMCPMC2860502

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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.