Evidence map›Paper›PMID 19570852›Full record

ArticleNucleic acids research2009

Single nucleotide polymorphism arrays: a decade of biological, computational and technological advances.

Thomas LaFramboise

Abstract readHistorical Article
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers.

0numbers the graph read from it
0cells of the map it votes in
176citing 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

176 citing papers in PubMed.

  1. Article
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  4. Article
  5. Genes · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
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  14. Article
  15. The Biological Properties of theFoods (Basel, Switzerland) · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Genome-wide association testing beyond SNPs.Nature reviews. Genetics · 2025
    Review
  20. Review

116 more citing papers are in PubMed but not listed here.

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

1 author.

Thomas LaFramboiseDepartment of Genetics, Case Western Reserve University, Cleveland, OH 44106, USA.

Funding

A genomic survey of allele-specific selection in tumor ampliconsR01CA131341 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI LAFRAMBOISE, THOMAS LOUIS, PE'ER, ITSHACK G · 2008 to 2011
$1.2M
NCI NIH HHS R01 CA131341NCI NIH HHS R01CA131341
6 · The paper itself

Abstract

Array manufacturers originally designed single nucleotide polymorphism (SNP) arrays to genotype human DNA at thousands of SNPs across the genome simultaneously. In the decade since their initial development, the platform's applications have expanded to include the detection and characterization of copy number variation--whether somatic, inherited, or de novo--as well as loss-of-heterozygosity in cancer cells. The technology's impressive contributions to insights in population and molecular genetics have been fueled by advances in computational methodology, and indeed these insights and methodologies have spurred developments in the arrays themselves. This review describes the most commonly used SNP array platforms, surveys the computational methodologies used to convert the raw data into inferences at the DNA level, and details the broad range of applications. Although the long-term future of SNP arrays is unclear, cost considerations ensure their relevance for at least the next several years. Even as emerging technologies seem poised to take over for at least some applications, researchers working with these new sources of data are adopting the computational approaches originally developed for SNP arrays.

Indexed as

Polymorphism, Single NucleotideGenetic VariationGenome-Wide Association StudyGenomicsGenotypeHistory, 20th CenturyHistory, 21st CenturyHumansLinkage DisequilibriumNeoplasmsOligonucleotide Array Sequence Analysis

Identifiers

PMID19570852
PMCPMC2715261

What OpenQuestion holds

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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.