Evidence map›Paper›PMID 12140314›Full record

ArticleNucleic acids research2002

Single nucleotide polymorphism seeking long term association with complex disease.

Brian W Kirk, Matthew Feinsod, Reyna Favis, Richard M Kliman, Francis Barany

Abstract read
In one paragraph

Article in Nucleic acids research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Review
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  9. Article
  10. Towards in vitro molecular diagnostics using nanostructures.Cellular and molecular life sciences : CMLS · 2012
    Review
  11. Article
  12. Article
  13. Development and evaluation of single-nucleotide polymorphism markers in allotetraploid rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2009
    Article
  14. Specific mutation screening of TP53 gene by low-density DNA microarray.Nanotechnology, science and applications · 2009
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

5 authors.

Brian W KirkDepartment of Microbiology, Box 62, Hearst Microbiology Research Center, Joan and Sanford I. Weill Medical College of Cornell University, Room B-406, 1300 York Avenue, New York, NY 10021, USA.
Matthew Feinsod
Reyna Favis
Richard M Kliman
Francis Barany

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Successful investigation of common diseases requires advances in our understanding of the organization of the genome. Linkage disequilibrium provides a theoretical basis for performing candidate gene or whole-genome association studies to analyze complex disease. However, to constructively interrogate SNPs for these studies, technologies with sufficient throughput and sensitivity are required. A plethora of suitable and reliable methods have been developed, each of which has its own unique advantage. The characteristics of the most promising genotyping and polymorphism scanning technologies are presented. These technologies are examined both in the context of complex disease investigation and in their capacity to face the unique physical and molecular challenges (allele amplification, loss of heterozygosity and stromal contamination) of solid tumor research.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideBiotechnologyElectrophoresisGenomicsHumansLinkage DisequilibriumNeoplasmsNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionRecombination, Genetic

Identifiers

PMID12140314
PMCPMC137089

What OpenQuestion holds

Textmetadata
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.