A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens.

In most studies aimed at localizing footprints of past selection, outliers at tails of the empirical distribution of a given test statistic are assumed to reflect locus-specific selective forces. Significance cutoffs are subjectively determined, rather than being related to a clear set of hypotheses...

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Main Authors: Saber Qanbari, Tim M Strom, Georg Haberer, Steffen Weigend, Almas A Gheyas, Frances Turner, David W Burt, Rudolf Preisinger, Daniel Gianola, Henner Simianer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23209582/pdf/?tool=EBI
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spelling doaj-f9829b2ee68545c5b1858bfb0d58ca582021-03-04T12:37:06ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01711e4952510.1371/journal.pone.0049525A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens.Saber QanbariTim M StromGeorg HabererSteffen WeigendAlmas A GheyasFrances TurnerDavid W BurtRudolf PreisingerDaniel GianolaHenner SimianerIn most studies aimed at localizing footprints of past selection, outliers at tails of the empirical distribution of a given test statistic are assumed to reflect locus-specific selective forces. Significance cutoffs are subjectively determined, rather than being related to a clear set of hypotheses. Here, we define an empirical p-value for the summary statistic by means of a permutation method that uses the observed SNP structure in the real data. To illustrate the methodology, we applied our approach to a panel of 2.9 million autosomal SNPs identified from re-sequencing a pool of 15 individuals from a brown egg layer line. We scanned the genome for local reductions in heterozygosity, suggestive of selective sweeps. We also employed a modified sliding window approach that accounts for gaps in the sequence and increases scanning resolution by moving the overlapping windows by steps of one SNP only, and suggest to call this a "creeping window" strategy. The approach confirmed selective sweeps in the region of previously described candidate genes, i.e. TSHR, PRL, PRLHR, INSR, LEPR, IGF1, and NRAMP1 when used as positive controls. The genome scan revealed 82 distinct regions with strong evidence of selection (genome-wide p-value<0.001), including genes known to be associated with eggshell structure and immune system such as CALB1 and GAL cluster, respectively. A substantial proportion of signals was found in poor gene content regions including the most extreme signal on chromosome 1. The observation of multiple signals in a highly selected layer line of chicken is consistent with the hypothesis that egg production is a complex trait controlled by many genes.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23209582/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Saber Qanbari
Tim M Strom
Georg Haberer
Steffen Weigend
Almas A Gheyas
Frances Turner
David W Burt
Rudolf Preisinger
Daniel Gianola
Henner Simianer
spellingShingle Saber Qanbari
Tim M Strom
Georg Haberer
Steffen Weigend
Almas A Gheyas
Frances Turner
David W Burt
Rudolf Preisinger
Daniel Gianola
Henner Simianer
A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens.
PLoS ONE
author_facet Saber Qanbari
Tim M Strom
Georg Haberer
Steffen Weigend
Almas A Gheyas
Frances Turner
David W Burt
Rudolf Preisinger
Daniel Gianola
Henner Simianer
author_sort Saber Qanbari
title A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens.
title_short A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens.
title_full A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens.
title_fullStr A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens.
title_full_unstemmed A high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens.
title_sort high resolution genome-wide scan for significant selective sweeps: an application to pooled sequence data in laying chickens.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description In most studies aimed at localizing footprints of past selection, outliers at tails of the empirical distribution of a given test statistic are assumed to reflect locus-specific selective forces. Significance cutoffs are subjectively determined, rather than being related to a clear set of hypotheses. Here, we define an empirical p-value for the summary statistic by means of a permutation method that uses the observed SNP structure in the real data. To illustrate the methodology, we applied our approach to a panel of 2.9 million autosomal SNPs identified from re-sequencing a pool of 15 individuals from a brown egg layer line. We scanned the genome for local reductions in heterozygosity, suggestive of selective sweeps. We also employed a modified sliding window approach that accounts for gaps in the sequence and increases scanning resolution by moving the overlapping windows by steps of one SNP only, and suggest to call this a "creeping window" strategy. The approach confirmed selective sweeps in the region of previously described candidate genes, i.e. TSHR, PRL, PRLHR, INSR, LEPR, IGF1, and NRAMP1 when used as positive controls. The genome scan revealed 82 distinct regions with strong evidence of selection (genome-wide p-value<0.001), including genes known to be associated with eggshell structure and immune system such as CALB1 and GAL cluster, respectively. A substantial proportion of signals was found in poor gene content regions including the most extreme signal on chromosome 1. The observation of multiple signals in a highly selected layer line of chicken is consistent with the hypothesis that egg production is a complex trait controlled by many genes.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23209582/pdf/?tool=EBI
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