Evidence map›Paper›PMID 31624256›Full record

ArticleScientific data2019

Linkage disequilibrium maps for European and African populations constructed from whole genome sequence data.

Alejandra Vergara-Lope, M Reza Jabalameli, Clare Horscroft, Sarah Ennis, Andrew Collins, Reuben J Pengelly

Abstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Kidney international reports · 2024
    Article
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  4. Polygenic prediction of human longevity on the supposition of pervasive pleiotropy.medRxiv : the preprint server for health sciences · 2023
    Article
  5. Article
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  7. Article
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  9. Review
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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

6 authors.

Alejandra Vergara-LopeHuman Genetics & Genomic Medicine, Faculty of Medicine, University of Southampton, Southampton, UK.
M Reza JabalameliHuman Genetics & Genomic Medicine, Faculty of Medicine, University of Southampton, Southampton, UK.
Clare HorscroftHuman Genetics & Genomic Medicine, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0001-5679-5912
Sarah EnnisHuman Genetics & Genomic Medicine, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0003-2648-0869
Andrew CollinsHuman Genetics & Genomic Medicine, Faculty of Medicine, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0001-7108-0771
Reuben J PengellyHuman Genetics & Genomic Medicine, Faculty of Medicine, University of Southampton, Southampton, UK. R.J.Pengelly@soton.ac.uk.ORCID http://orcid.org/0000-0001-7022-645X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantification of linkage disequilibrium (LD) patterns in the human genome is essential for genome-wide association studies, selection signature mapping and studies of recombination. Whole genome sequence (WGS) data provides optimal source data for this quantification as it is free from biases introduced by the design of array genotyping platforms. The Malécot-Morton model of LD allows the creation of a cumulative map for each choromosome, analogous to an LD form of a linkage map. Here we report LD maps generated from WGS data for a large population of European ancestry, as well as populations of Baganda, Ethiopian and Zulu ancestry. We achieve high average genetic marker densities of 2.3-4.6/kb. These maps show good agreement with prior, low resolution maps and are consistent between populations. Files are provided in BED format to allow researchers to readily utilise this resource.

Indexed as

Genetics, PopulationLinkage DisequilibriumBlack PeopleChromosome MappingHumansWhite PeopleWhole Genome Sequencing

Identifiers

PMID31624256
PMCPMC6797713

What OpenQuestion holds

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LicenceCC BY
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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.