Evidence map›Paper›PMID 16680197›Full record

ArticlePLoS genetics2006

Coverage and characteristics of the Affymetrix GeneChip Human Mapping 100K SNP set.

Dan L Nicolae, Xiaoquan Wen, Benjamin F Voight, Nancy J Cox

Abstract read
In one paragraph

Article in PLoS genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  9. (Too) great expectations: the challenges in replicating asthma disease genes.American journal of respiratory and critical care medicine · 2009
    Article
  10. From the Cover: Whole-genome association study identifies STK39 as a hypertension susceptibility gene.Proceedings of the National Academy of Sciences of the United States of America · 2009
    Article
  11. Association studies for untyped markers with TUNA.Bioinformatics (Oxford, England) · 2008
    Article
  12. Article
  13. Article
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  15. Article
  16. 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

4 authors.

Dan L NicolaeDepartment of Statistics, The University of Chicago, Chicago, Illinois, USA. nicolae@galton.uchicago
Xiaoquan Wen
Benjamin F Voight
Nancy J Cox

Funding

Robust Methods for Indentifying Genes for Complex TraitsR01DK055889 · NIDDK · UNIVERSITY OF CHICAGO · PI COX, NANCY J. · 1998 to 2004
$1.3M
NIDDK NIH HHS DK-55889NIDDK NIH HHS R01 DK055889
6 · The paper itself

Abstract

Improvements in technology have made it possible to conduct genome-wide association mapping at costs within reach of academic investigators, and experiments are currently being conducted with a variety of high-throughput platforms. To provide an appropriate context for interpreting results of such studies, we summarize here results of an investigation of one of the first of these technologies to be publicly available, the Affymetrix GeneChip Human Mapping 100K set of single nucleotide polymorphisms (SNPs). In a systematic analysis of the pattern and distribution of SNPs in the Mapping 100K set, we find that SNPs in this set are undersampled from coding regions (both nonsynonymous and synonymous) and oversampled from regions outside genes, relative to SNPs in the overall HapMap database. In addition, we utilize a novel multilocus linkage disequilibrium (LD) coefficient based on information content (analogous to the information content scores commonly used for linkage mapping) that is equivalent to the familiar measure r2 in the special case of two loci. Using this approach, we are able to summarize for any subset of markers, such as the Affymetrix Mapping 100K set, the information available for association mapping in that subset, relative to the information available in the full set of markers included in the HapMap, and highlight circumstances in which this multilocus measure of LD provides substantial additional insight about the haplotype structure in a region over pairwise measures of LD.

Indexed as

Genome, HumanOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideChromosome MappingComputational BiologyGenetic LinkageGenetic MarkersHaplotypesHumansLinkage DisequilibriumModels, GeneticGenetic Markers

Identifiers

PMID16680197
PMCPMC1456318

What OpenQuestion holds

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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.