Evidence map›Paper›PMID 15791542›Full record

ArticleAmerican journal of human genetics2005

Increased level of linkage disequilibrium in rural compared with urban communities: a factor to consider in association-study design.

Veronique Vitart, Andrew D Carothers, Caroline Hayward, Peter Teague, Nicholas D Hastie, Harry Campbell, Alan F Wright

Abstract readComparative Study
In one paragraph

Article in American journal of human genetics, 2005. 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. Article
  2. Article
  3. Article
  4. The genetic landscape of Scotland and the Isles.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  5. Article
  6. Article
  7. Article
  8. Runs of homozygosity in European populations.American journal of human genetics · 2008
    Article
  9. Article
  10. 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

7 authors.

Veronique VitartMedical Research Council Human Genetics Unit, Western General Hospital, Edinburgh, United Kingdom. v.vitart@hgu.mrc.ac.uk
Andrew D Carothers
Caroline Hayward
Peter Teague
Nicholas D Hastie
Harry Campbell
Alan F Wright

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have investigated genetic differentiation within nonisolate European populations, despite the initiation of large national sample collections such as U.K. Biobank. Here, we used short tandem repeat markers to explore fine-scale genetic structure and to examine the extent of linkage disequilibrium (LD) within national subpopulations. We studied 955 unrelated individuals of local ancestry from nine Scottish rural regions and the urban center of Edinburgh, as well as 96 unrelated individuals from the general U.K. population. Despite little overall differentiation on the basis of allele frequencies, there were clear differences among subpopulations in the extent of pairwise LD, measured between a subset of X-linked markers, that reflected presumed differences in the depths of the underlying genealogies within these subpopulations. Therefore, there are strategic advantages in studying rural subpopulations, in terms of increased power and reduced cost, that are lost by sampling across regions or within urban populations. Similar rural-urban contrasts are likely to exist in many other populations with stable rural subpopulations, which could influence the design of genetic association studies and national biobank data collections.

Indexed as

Linkage DisequilibriumResearch DesignGenetics, PopulationHumansMaleRural PopulationScotlandTandem Repeat SequencesUrban Population

Identifiers

PMID15791542
PMCPMC1199366

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.