Evidence map›Paper›PMID 17660571›Full record

ArticleGenetics2007

On the choice of genetic distance in spatial-genetic studies.

Paul Fearnhead

Abstract read
In one paragraph

Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Paul FearnheadDepartment of Mathematics and Statistics, Lancaster University, Lancaster LA1 4YF, United Kingdom. p.fearnhead@lancaster.ac.uk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We look at how to choose genetic distance so as to maximize the power of detecting spatial structure. We answer this question through analyzing two population genetic models that allow for a spatially structured population in a continuous habitat. These models, like most that incorporate spatial structure, can be characterized by a separation of timescales: the history of the sample can be split into a scattering and a collecting phase, and it is only during the scattering phase that the spatial locations of the sample affect the coalescence times. Our results suggest that the optimal choice of genetic distance is based upon splitting a DNA sequence into segments and counting the number of segments at which two sequences differ. The size of these segments depends on the length of the scattering phase for the population genetic model.

Indexed as

Genetics, PopulationModels, GeneticCampylobacter jejuniChromosomes, BacterialData Interpretation, StatisticalEvolution, MolecularGenome, BacterialGeography

Identifiers

PMID17660571
PMCPMC2013702

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.