Evidence map›Paper›PMID 18430959›Full record

ArticleGenetics2008

Exploring population genetic models with recombination using efficient forward-time simulations.

Badri Padhukasahasram, Paul Marjoram, Jeffrey D Wall, Carlos D Bustamante, Magnus Nordborg

Abstract read
In one paragraph

Article in Genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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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

5 authors.

Badri PadhukasahasramBiological Statistics and Computational Biology, Cornell University, Ithaca, New York 14850, USA. bp85@cornell.edu
Paul Marjoram
Jeffrey D Wall
Carlos D Bustamante
Magnus Nordborg

Funding

Implications of haplotype structure in the human genomeP50HG002790 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TAVARE, SIMON · 2003 to 2013
$29.9M
Computational Methods for Fine MappingR01GM069890 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MARJORAM, PAUL · 2004 to 2007
$1.9M
Simulation algorithms for genome-wide data and application to admixed dataR01HG004049 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WALL, JEFFREY D · 2007 to 2009
$923k
NHGRI NIH HHS HG-002790NHGRI NIH HHS P50 HG002790NHGRI NIH HHS R01 HG004049NHGRI NIH HHS R01-HG004049-02NIGMS NIH HHS R01 GM069890
6 · The paper itself

Abstract

We present an exact forward-in-time algorithm that can efficiently simulate the evolution of a finite population under the Wright-Fisher model. We used simulations based on this algorithm to verify the accuracy of the ancestral recombination graph approximation by comparing it to the exact Wright-Fisher scenario. We find that the recombination graph is generally a very good approximation for models with complete outcrossing, whereas, for models with self-fertilization, the approximation becomes slightly inexact for some combinations of selfing and recombination parameters.

Indexed as

Computer SimulationModels, GeneticAlgorithmsChromosomesHaplotypesHumansPopulation DynamicsRecombination, GeneticTime Factors

Identifiers

PMID18430959
PMCPMC2323826

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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.