Evidence map›Paper›PMID 17110489›Full record

ArticleGenetics2007

Controlling the false-positive rate in multilocus genome scans for selection.

Kevin R Thornton, Jeffrey D Jensen

Open access · bronzeAbstract 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 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed
9.7field-weighted citation impact, top 2% of its field
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

101 citing papers in PubMed, 189 citations in OpenAlex.

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  10. Digital Image Processing to Detect Adaptive Evolution.Molecular biology and evolution · 2024
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  19. Article
  20. Article

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

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

2 authors at 1 institution in 1 country.

Kevin R ThorntonDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA. krthornt@uci.edu
Jeffrey D Jensen
Cornell University · US

Funding

Variable DNA sites predicting interindividual variation in health measuresP50GM065509 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SING, CHARLES · 2001 to 2011
$27.5M
MOLECULAR POPULATION GENETICS OF DROSOPHILA MELANOGASTERR01GM036431 · NIGMS · CORNELL UNIVERSITY ITHACA · PI AQUADRO, CHARLES F · 1986 to 2010
$2.6M
NIGMS NIH HHS GM065509NIGMS NIH HHS GM36431NIGMS NIH HHS P50 GM065509NIGMS NIH HHS R01 GM036431
6 · The paper itself

Abstract

Rapid typing of genetic variation at many regions of the genome is an efficient way to survey variability in natural populations in an effort to identify segments of the genome that have experienced recent natural selection. Following such a genome scan, individual regions may be chosen for further sequencing and a more detailed analysis of patterns of variability, often to perform a parametric test for selection and to estimate the strength of a recent selective sweep. We show here that not accounting for the ascertainment of loci in such analyses leads to false inference of natural selection when the true model is selective neutrality, because the procedure of choosing unusual loci (in comparison to the rest of the genome-scan data) selects regions of the genome with genealogies similar to those expected under models of recent directional selection. We describe a simple and efficient correction for this ascertainment bias, which restores the false-positive rate to near-nominal levels. For the parameters considered here, we find that obtaining a test with the expected distribution of P-values depends on accurately accounting both for ascertainment of regions and for demography. Finally, we use simulations to explore the utility of relying on outlier loci to detect recent selective sweeps. We find that measures of diversity and of population differentiation are more effective than summaries of the site-frequency spectrum and that sequencing larger regions (2.5 kbp) in genome-scan studies leads to more power to detect recent selective sweeps.

Indexed as

Selection, GeneticDemographyEmpirical ResearchFalse Positive ReactionsGenealogy and HeraldryGenetic VariationGenome, HumanHumansLikelihood FunctionsModels, Genetic

Identifiers

PMID17110489
PMCPMC1800626
OpenAlexW2156169823

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.