Evidence map›Paper›PMID 15454560›Full record

ArticleGenetics2004

Sequencing complex diseases With HapMap.

Tian Liu, Julie A Johnson, George Casella, Rongling Wu

Abstract read
In one paragraph

Article in Genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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  9. Article
  10. Risk haplotype analysis for bovine paratuberculosis.Mammalian genome : official journal of the International Mammalian Genome Society · 2009
    Article
  11. A statistical model for genetic mapping of viral infection by integrating epidemiological behavior.Statistical applications in genetics and molecular biology · 2009
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Sequencing drug response with HapMap.The pharmacogenomics journal · 2005
    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

4 authors.

Tian LiuDepartment of Statistics, University of Florida, Gainesville 32611, USA.
Julie A Johnson
George Casella
Rongling Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining the patterns of DNA sequence variation in the human genome is a useful first step toward identifying the genetic basis of a common disease. A haplotype map (HapMap), aimed at describing these variation patterns across the entire genome, has been recently developed by the International HapMap Consortium. In this article, we present a novel statistical model for directly characterizing specific sequence variants that are responsible for disease risk based on the haplotype structure provided by HapMap. Our model is developed in the maximum-likelihood context, implemented with the EM algorithm. We perform simulation studies to investigate the statistical properties of this disease-sequencing model. A worked example from a human obesity study with 155 patients was used to validate this model. In this example, we found that patients carrying a haplotype constituted by allele Gly16 at codon 16 and allele Gln27 at codon 27 genotyped within the beta2AR candidate gene display significantly lower body mass index than patients carrying the other haplotypes. The implications and extensions of our model are discussed.

Indexed as

Chromosome MappingGenetic Predisposition to DiseaseGenetic VariationGenome, HumanModels, GeneticBody Mass IndexComputer SimulationGenetics, PopulationHaplotypesHumansLikelihood FunctionsObesity

Identifiers

PMID15454560
PMCPMC1448119

What OpenQuestion holds

Textmetadata
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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.