Evidence map›Paper›PMID 14597696›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2003

Multipoint linkage-disequilibrium mapping narrows location interval and identifies mutation heterogeneity.

Andrew P Morris, John C Whittaker, Chun-Fang Xu, Louise K Hosking, David J Balding

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Bayesian graphical models for genomewide association studies.American journal of human genetics · 2006
    Article
  8. Article
  9. Linkage disequilibrium maps and association mapping.The Journal of clinical investigation · 2005
    Review
  10. Review
  11. Article
  12. Article
  13. Impact of population structure, effective bottleneck time, and allele frequency on linkage disequilibrium maps.Proceedings of the National Academy of Sciences of the United States of America · 2004
    Article
  14. Article
  15. 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

5 authors.

Andrew P MorrisWellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, United Kingdom.
John C Whittaker
Chun-Fang Xu
Louise K Hosking
David J Balding

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-nucleotide polymorphism (SNP) genotypes were recently examined in an 890-kb region flanking the human gene CYP2D6. Single-marker and haplotype-based analyses identified, with genomewide significance (P < 10-7), a 403-kb interval displaying strong linkage disequilibrium (LD) with predicted poor-metabolizer phenotype. However, the width of this interval makes the location of causal variants difficult: for example, the interval contains seven known or predicted genes in addition to CYP2D6. We have developed the Bayesian fine-mapping software coldmap, which, applied to these genotype data, yields a 95% location interval covering only 185 kb and establishes genomewide significance for a causal locus within the region. Strikingly, our interval correctly excludes four SNPs, which individually display association with genomewide significance, including the SNP showing strongest LD (P < 10-34). In addition, coldmap distinguishes homozygous cases for the major CYP2D6 mutation from those bearing minor mutations. We further investigate a selection of SNP subsets and find that previously reported methods lead to a 38% savings in SNPs at the cost of an increase of <20% in the width of the location interval.

Indexed as

Linkage DisequilibriumMutationBayes TheoremChromosome MappingCytochrome P-450 CYP2D6GenotypeHumansModels, GeneticPhenotypePhylogenyPolymorphism, Single NucleotideSoftwareCytochrome P-450 CYP2D6

Identifiers

PMID14597696
PMCPMC263833

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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.