Evidence map›Paper›PMID 21729283›Full record

ArticleBMC research notes2011

Improved haplotype-based detection of ongoing selective sweeps towards an application in Arabidopsis thaliana.

Torsten Günther, Karl J Schmid

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Article in BMC research notes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Adaptive, convergent origins of the pygmy phenotype in African rainforest hunter-gatherers.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Torsten GüntherInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, Stuttgart, Germany. torsten.guenther@uni-hohenheim.de.
Karl J Schmid

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing amount of genome information allows us to address various questions regarding the molecular evolution and population genetics of different species. Such genome-wide data sets including thousands of individuals genotyped at hundreds of thousands of markers require time-efficient and powerful analysis methods. Demography and sampling introduce a bias into present population genetic tests of natural selection, which may confound results. Thus, a modification of test statistics is necessary to introduce time-efficient and unbiased analysis methods.

resultsWe present an improved haplotype-based test of selective sweeps in samples of unequally related individuals. For this purpose, we modified existing tests by weighting the contribution of each individual based on its uniqueness in the entire sample. In contrast to previous tests, this modified test is feasible even for large genome-wide data sets of multiple individuals. We utilize coalescent simulations to estimate the sensitivity of such haplotype-based test statistics to complex demographic scenarios, such as population structure, population growth and bottlenecks. The analysis of empirical data from humans reveals different results compared to previous tests. Additionally, we show that our statistic is applicable to empirical data from Arabidopsis thaliana. Overall, the modified test leads to a slight but significant increase of power to detect selective sweeps among all demographic scenarios.

conclusionsThe concept of this modification might be applied to other statistics in population genetics to reduce the intrinsic bias of demography and sampling. Additionally, the combination of different test statistics may further improve the performance of tests for natural selection.

Identifiers

PMID21729283
PMCPMC3148560

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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.