Evidence map›Paper›PMID 14704198›Full record

ArticleGenetics2003

Modeling linkage disequilibrium and identifying recombination hotspots using single-nucleotide polymorphism data.

Na Li, Matthew Stephens

Erratum issuedAbstract read
In one paragraph

Article in Genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 558 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
558citing papers in PubMed, 2 pooled it
–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

558 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Privacy-preserving pangenome graphs.Nature communications · 2026
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  18. Graph transformer for ancient ancestry inference.bioRxiv : the preprint server for biology · 2026
    Article
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  20. Article

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

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors.

Na LiDepartment of Biostatistics, University of Washington, Seattle, Washington 98195, USA.
Matthew Stephens

Funding

Genome analysis: statistical methods and applicationsR01HG002585 · NHGRI · UNIVERSITY OF WASHINGTON · PI MATTHEW STEPHENS · 2002 to 2026
$8.4M
NHGRI NIH HHS 1R01HG/LM02585-01
6 · The paper itself

Abstract

We introduce a new statistical model for patterns of linkage disequilibrium (LD) among multiple SNPs in a population sample. The model overcomes limitations of existing approaches to understanding, summarizing, and interpreting LD by (i) relating patterns of LD directly to the underlying recombination process; (ii) considering all loci simultaneously, rather than pairwise; (iii) avoiding the assumption that LD necessarily has a "block-like" structure; and (iv) being computationally tractable for huge genomic regions (up to complete chromosomes). We examine in detail one natural application of the model: estimation of underlying recombination rates from population data. Using simulation, we show that in the case where recombination is assumed constant across the region of interest, recombination rate estimates based on our model are competitive with the very best of current available methods. More importantly, we demonstrate, on real and simulated data, the potential of the model to help identify and quantify fine-scale variation in recombination rate from population data. We also outline how the model could be useful in other contexts, such as in the development of more efficient haplotype-based methods for LD mapping.

Indexed as

HaplotypesLinkage DisequilibriumModels, GeneticPolymorphism, Single NucleotideRecombination, GeneticAlgorithmsATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily B, Member 3Chromosome MappingComputer SimulationGenetic HeterogeneityGenetics, PopulationHumansPopulation DensityATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily B, Member 3TAP2 protein, human

Identifiers

PMID14704198
PMCPMC1462870

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.