Evidence map›Paper›PMID 18466506›Full record

ArticleBMC proceedings2007

Analysis of high-density single-nucleotide polymorphism data: three novel methods that control for linkage disequilibrium between markers in a linkage analysis.

Kristina Allen-Brady, Benjamin D Horne, Alka Malhotra, Craig Teerlink, Nicola J Camp, Alun Thomas

Abstract read
In one paragraph

Article in BMC proceedings, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

6 authors.

Kristina Allen-BradyDepartment of Biomedical Informatics, University of Utah, 391 Chipeta Way, Suite D, Salt Lake City, Utah 84108, USA. kristina.allen@utah.edu
Benjamin D Horne
Alka Malhotra
Craig Teerlink
Nicola J Camp
Alun Thomas

Funding

GENETIC ANALYSIS TECHNIQUES FOR COMMON CANCERSK07CA098364 · NCI · UNIVERSITY OF UTAH · PI CAMP, NICOLA J. · 2004 to 2008
$701k
ASSOCIATION BETWEEN PHENOTYPES AND DISEQUALIBRIATE LOCIR21GM070710 · NIGMS · UNIVERSITY OF UTAH · PI THOMAS, ALUN · 2005 to 2006
$407k
NCI NIH HHS K07 CA098364NIGMS NIH HHS R21 GM070710
6 · The paper itself

Abstract

We performed a multipoint linkage analysis for rheumatoid arthritis (RA) using high-density single-nucleotide polymorphism (SNP) data for chromosome 6 and chromosome 21 using Genetic Analysis Workshop 15 (GAW15) data. These regions were previously shown to have high LOD scores, not accounting for linkage disequilibrium (LD). We propose three novel methods to control for LD in a linkage analysis: allow for LD between markers using graphical modeling, eliminate high-LD markers by principal-component analysis (PCA) using haplotype data, and eliminate high-LD markers by PCA using genotype data. All three novel methods were compared to the previously published SNPLINK high-LD elimination method. Although all four methods verified the previous results, differences in linkage peak height and position were observed across methods. Additional work is required to further understand the effects of LD on linkage results and explore LD control methodology.

Identifiers

PMID18466506
PMCPMC2367532

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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.